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我回来了,和大卫·赖希一起,他是哈佛大学研究古DNA的教授。
I am back with David Reich, who is a professor of ancient DNA at Harvard.
你该怎么描述你研究的内容呢?
How do you describe what it is that you, you study?
我是个遗传学家,主要研究人类历史,以及古代人群之间、还有他们与现代人之间的关系。
I'm a geneticist, and I work on human history and how people, relate, ancient people relate to each other and people living today.
很好。
Great.
我们两年前做过一次采访,那成了我迄今为止最受欢迎的访谈之一。
And so we did an interview, was it two years ago at this point, which ended up being one of the most popular interviews I've ever done.
我觉得大家觉得特别有意思的是,人类历史上还有这么多我们不知道的事,而正是你们实验室所用的这些技术,让我们现在才开始慢慢了解。
I think people just found really compelling that there's so much about human history we don't know and are just learning about now as a result of the kinds of techniques that your lab is using.
你最近发布了一篇新的预印本,非常令人兴奋,我想和你聊聊这个。
And you have a new preprint that that's very exciting, and I wanted to talk to you about it.
那我们开始吧。
So let's begin.
你能给我简单介绍一下,今天我们主要聊什么吗?
Can you can you give me a little bit of context and what we're talking about today?
当初这个古DNA领域刚起步的时候,十六七年前吧,大家的理想是通过分析古代人类遗骸的DNA,追踪人类生物学特征随时间的变化,从而深入了解生物学本身。
Well well, the dream was that when this field started, this ancient DNA field started, more than sixteen or seventeen years ago, that we were gonna learn a lot about biology, learn about how people's biology changed over time by getting DNA out of ancient human remains and tracking changes over time.
但这个目标从一开始就没能实现。
And that dream has really not been realized, since the beginning of this field.
虽然这个领域在揭示人类历史方面取得了巨大成功——比如发现了人类迁徙的惊人模式,发现现代人并不直接源自同一地区几千甚至上万年前的居民,混合现象在人类历史上非常普遍,性别相关的演化过程也很常见,这些都超出了考古学的预期。
So while the field's been a big success with regard to learning about human history, it's resulted in, surprising findings about human migrations, people not being descended from the people who lived in the same place hundreds or thousands or tens of thousands of years before and mixture being common in human history, sex bias processes being common in human history, and things that were not expected from archaeology.
从这个角度看,这个领域确实非常成功。
And so the field's been a big success from that perspective.
但唯独在研究生物学和生理变化方面,进展不大。
But what's not been successful is learning about, biology and biological change.
其中一个主要原因,是样本量太小了。
And one big reason for that has been that the sample sizes have been too small.
当你只分析一个人的DNA时,它能提供关于历史的海量信息。
So when you have a single person's DNA, it provides a tremendous amount of information about history.
这是因为当你看一个人的DNA时,其实不是在看一个人。
And that's because when you look at one person's DNA, it's not a single person.
而是在看很多人。
It's many people.
包括你的父母两人。
It's your two parents.
还有你的四位祖父母。
It's your four grandparents.
你的八位曾祖父母、十六位高祖父母,以此类推。
It's your eight great grandparents and 16 great great great grandparents and so on.
往前追溯,成千上万、甚至几十万年前的祖先,都为今天的人贡献了基因。
And going back in time, thousands, tens of thousands, even hundreds of thousands of ancestors going back in time contributed to people today.
所以当你分析一个人的基因组,或者尼安德特人的基因组时,实际上你看到的是数以万计祖先的集合,能非常精确地定位这个人与其他已知人群的关系。
So when you look at the DNA of a single person's genome or a Neanderthal genome, you have effectively tens of thousands of ancestors all represented in your data, and you can ex you can position that individual exquisitely with respect to other people from whom you have data.
但如果你关心的是某种影响皮肤色素、成人乳糖耐受性,或行为特征的基因变异,想追踪它随时间的变化,一个人的DNA只能提供一到两个样本——分别来自母亲和父亲。
But when you are interested in how a particular genetic variant that affects something like your skin pigmentation or affects your ability to digest cow's milk into adulthood or affects a behavioral trait, when you wanna see how that changes over a time, a single person gives you only one sample or maybe two samples, the one that is in their mother and the one that's in their father.
所以,要想清楚地看出基因频率随时间的变化,就需要非常大的样本量,也就是成千上万的人的数据,而直到最近几年,我们才真正拥有这些数据。
And so to get a high resolution picture of how the frequency changes over time, you need to have very big sample sizes of truly very large numbers of people, and we just didn't have that until the last few years.
因此,我们今天讨论的这项研究,以及未来几年其他许多团队可能会开展的工作,其动力就在于我们现在终于有了足够的数据,可以用来分析基因频率是如何随时间变化的。
So what motivates this study that we're, I think, talking about today and the work that hopefully another number of groups will be doing in the coming years is the fact that we now finally have those numbers, and we could do something with the data to see how frequency changes over time.
我能问你一个问题吗?
And can can I ask you a question?
在接下来的几个小时里,我可能会问很多看似天真的问题。
I'll be asking a lot of naive questions through the next few hours.
但为什么基因频率的变化特别值得关注呢?
But why are frequency changes especially interesting?
我们感兴趣的是,利用过去几万年来自然发生的‘实验’,来理解我们的DNA中哪些部分具有生物学上的重要意义。
So what we're interested in is using the experiment of nature that's occurred, in in our history over the last tens of thousands of years to understand what's biologically, significant, in our in our DNA.
如果一个群体经历了环境变化,比如从狩猎采集转向农业,开始与家养动物近距离生活,或者从寒冷地区迁移到温暖地区,从低海拔搬到高海拔,那么这个群体就会面临适应新压力和新需求的挑战。
And if there has been a change in environment that a population has experienced, for example, people have shifted to agriculture or begun living close to domesticated animals or moved to a new environment from a cold place to a warm place or a a low place to a high place, then there's pressure on the population to adapt to these new stresses, these new these new needs.
要发现这种适应,我们就会看到某些基因变异的频率发生了变化——比如,某种变异可能让人更适合在高海拔地区生活,或者让人产生某种更有利的新行为模式。
And the way you're gonna detect that is you're gonna see that the frequency of a genetic variant that, for example, might allow you to live at higher altitude, for example, or that might sort of nudge you to have a different behavioral pattern that might be advantageous in the new situation.
这种基因变异会系统性地朝某个方向偏移,幅度大到足以被我们检测出来。
That genetic variant might push systematically in some direction in a way that is enough that you can detect it.
如果频率只发生几个百分点或百分之十的微小变化,那几乎不可能被发现,除非样本量非常非常大。
Now it's very hard to detect slight shifts in frequency by a few percent or a 10 unless you have a very, very big sample size.
所以我们关注的是那些不可能由随机因素造成的频率变化,这些变化能告诉我们,由于环境改变,人体生物学确实发生了适应性调整。
And so what we're looking for are those changes in frequency that are too extreme to be due to chance, and that will tell us that there have been pushes in the against the biology as a result of the changes in environment that people have experienced.
这很有趣。
Interesting.
明白了。
Okay.
那你们发现了什么?
So what did you guys find?
七年前,阿里·阿克巴里——当时是我实验室的博士后,后来成了我们实验室的常驻科学家——开始利用我们积累的数据,研究人类生物学随时间的变化。
So seven years ago, Ali Akbari, who is a, at the time was a postdoctoral scientist in my laboratory and a few years later became a permanent staff scientist in my laboratory, set out to use the data that we were producing to learn about biological change over time.
我觉得他选择我们实验室,而不是其他地方,是因为我们实验室一直专注于获取大量古代人类的基因数据。
And I think the reason he was interested in our laboratory rather than other places was that a focus of our laboratory has been generating truly large amounts of data from ancient humans.
我们一直在努力把整个流程工业化,降低成本,保证质量,大量产出样本,获取充足且高质量的数据来支持这项研究。
We've been really trying to industrialize the process, make it very inexpensive, make it high quality, and generate large numbers of samples, with lots of good data for this purpose.
因此,我们积累了海量数据,这才重新让这个问题变得可行——那就是,基因频率是否真的随时间发生了变化。
So there's been this large amount of data that we've generated, and it made it possible to conceive again of asking the question about whether there's been frequency changes over time.
过去几十年,人类进化领域的主流观点认为,自然选择在过去几十万年里基本处于停滞状态。
So the mainstream view in human evolution in the last several decades has been that natural selection has been pretty quiescent over the last several hundred thousands of years of human history.
支持这一观点的证据有好几条。
And there's several lines of evidence that have been deployed to document this.
比如,如果你比较世界各地不同人群,像欧洲人和东亚人,看看他们之间频率不同的突变,你会发现,所有突变的频率都有些差异,有时大有时小,那么,欧洲人和东亚人之间频率差异最大的那些突变是什么?
One is that if you compare diverse populations from different continents around the world, for example, Europeans and East Asians, and you look at mutations that differ in frequency between these groups, all mutations differ a little bit in frequency, sometimes a lot, you can say, are the most different mutations in terms of frequency between Europeans and East Asians?
但事实上,欧洲人和东亚人之间几乎没有哪种基因变异的频率差异能达到100%。
And there's almost no genetic changes that are a 100% different in frequency between Europeans and East Asians.
欧洲人和东亚人都是大约四万到五万年前从非洲和中东迁出的共同祖先群体的后裔。
So Europeans and East Asians descend from a common ancestral population forty or fifty thousand years ago that came out of Africa and The Middle East.
这个祖先群体原本有一套基因频率,之后这些变异随机出现,这个过程叫遗传漂变,也可能受到某种方向的自然选择影响。
This population had a set of gene frequencies, genetic frequencies, and these variants popped around, randomly, a process known as genetic drift, or perhaps under selection in one direction or another.
从四五万年前到现在,时间在进化尺度上还很短,所以欧洲人和东亚人之间的平均遗传差异其实很小。
And the time that's passed since forty or fifty thousand years ago is sufficiently small on an evolutionary time scale that there's just not much genetic differentiation on average between these two groups, Europeans and East Asians.
但如果确实存在自然选择,比如帮助某地人群更好地代谢酒精、消化乳糖,或者提升其他能力,你可能会期待某种基因变异的频率飙升到极高水平。
But, however, if there has been natural selection, for example, to help people in one place digest digest alcohol better or, for example, digest milk better or do something else better, what you might expect is that there would be some mutation that would have rocketed up to very high frequency.
四五万年其实已经是很长一段时间了。
And forty or fifty thousand years is a lot of time.
差不多有一千五百到两千代了。
It's maybe fifteen hundred or two thousand generations.
这么长的时间,完全足够让某个基因的频率出现百分之百的差异。
And so that might be enough time easily to see a 100% different in frequency.
但事实上,你并没有看到比随机预期更多的这种极端差异。
And yet you don't see any more compared to what you'd expect by chance.
所以这让人觉得,自然选择一直以来都相当平静。
So this made it seem that just selection has been quiescent.
也许几十万年前,人类祖先的种群就已经达到了某种最佳状态。
Maybe a few hundred thousand years ago, the ancestral human population got to some kind of optimum.
从那以后,基因方面就没怎么再发生什么明显变化。
And after that, there hasn't been much genetic change in one way or the other.
确实有一些轻微的自然选择,比如清除那些不断涌入基因组的有害突变,但并不是我们所说的定向选择——也就是新出现的突变被系统性地推高,帮助人群适应新的生存环境。
And there's been small amounts of natural selection, or there's been selection to remove bad mutations that are constantly raining down on the genome, but not what we call directional selection, which is newly arising mutations or mutations being pushed in a systematic direction to help the population get to a a different adaptive set point that's that's that's more favorable for the conditions that population is living in.
所以我们能区分出,DNA中观察到的上千万个变异位点的频率变化,有多少是来自定向选择和适应,有多少是其他因素造成的,尤其是遗传漂变。
So we were able to partition how much of the changes in frequencies of, of, of all the mutations that we're seeing in the DNA, we're looking at about ten ten million positions that vary, is due to directional selection adaptation versus other factors, especially genetic drift.
其中98%都是其他因素,主要是遗传漂变。
And 98% of it is other factors, especially genetic drift.
所以频率的波动主要还是由迁移和人群结构引起的。
So it's overwhelmingly migrations and population structure causing fluctuations in frequency.
因此,要真正检测出适应性自然选择的信号非常困难,因为它们在总的频率变化中只占极小一部分。
And as a result, it's super hard to actually detect the signals of natural selection in adaptive natural selection because they're a tiny fraction of the total frequency change.
绝大多数变化其实都来自迁移和混合。
The vast majority of it are these migrations and mixtures.
尽管如此,我们的研究认为,基因组里实际上发生过大量自然选择。
Nevertheless, there's so much natural selection as our study thinks has shown that, in fact, it's been rampant in the genome.
我能问个澄清的问题吗?
Can I ask a clarifying question here?
那为什么我们要把人群混合或替代排除在选择之外呢?
So why are we discounting population admixture or replacement as selection?
因为从群体层面来看,如果一个群体取代了另一个群体,这不就是选择吗?
Because if you think about it at a group level, if one population replaces another population, isn't that selection?
我记得上一期你提到过,某个地区的人群构成发生了巨大变化。
I I remember from the last episode, you were explaining how there's been huge changes in what kinds of people are in a specific area.
一个群体进来,取代了之前的群体,然后另一个新群体又进来,再次取代了前一个。
One population came in and kind of replaced the previous one, and then a new population came in and replaced the previous one.
如果这些群体更替背后确实和遗传因素有关,那为什么这些变化不该算作过去一万年来自然选择的一部分呢?
And to the extent that the genetics are relevant to why that population replaced the other one, why why why should that not count towards, you know, what we understand to be selection over the last ten thousand years?
这确实可能算,也可能应该算,从某些角度看是合理的。
It it could count, and may count and probably should count in some respects.
但群体替代也可能是因为某个群体掌握了某种文化或技术,而其他群体没有。
But it could also be that this population replacement is due to some cultural phenomenon, technology held by one of these groups, not others.
而且可能也有一些基因突变在起作用。
And maybe there's some genetic mutations that are contributing to this.
谁知道呢?
Who knows?
这是有可能的。
It's possible.
但你看到的是整个基因组的转变。
But what you're seeing is a whole genome shift.
所以我们想弄清楚,是否在DNA的某个特定位置上,存在一种不同于基因组其他部分的驱动变化。
And so what we're looking to see is whether there's one place in the DNA that is driving the change in a way that's different from the rest of the genome.
从统计学角度看,在这些迁徙时期,等位基因频率会剧烈波动。
And, really, from a statistical point of view, what happens at these times of migration is there's just huge fluctuations in frequencies.
这时候其实特别不适合用来发现自然选择的迹象。
And these are extremely uninformative times for looking and detecting natural selection.
最适合检测自然选择的时机,是迁徙和人群混合已经停止了几百年之后。
The best moments to detect natural selection is when migrations and population admixtures are not happening for a few hundred years.
在这些时期,你可以实际看到突变逐渐朝某个方向累积。
And during these times, you can actually see the mutations slowly blowing in one direction as a result.
对。
Yeah.
从这个研究的角度来看,我们把欧洲和中东的历史看作是一系列在时空上彼此隔离的小型人群组成的群岛。
Really, the way we think about the history of Europe and The Middle East and the way we think about it for the purpose of this study is as an archipelago of little populations in space and time, each of which are pretty isolated from each other.
比如,英国的一个小群体几百年间与世隔绝,匈牙利的一个小群体也在两次大规模迁徙和混合之间独自演化了几百年。
So a little population in Britain isolated for a few hundred years, a little population in Hungary isolated for a few hundred years between big events of migration and mixture.
在每一个这样的自然实验中,我们都可以问:这个突变的频率有没有轻微上升?
In each of those little experiments of nature, we can ask, does this mutation slightly increase in frequency?
那个同样的突变,频率有没有也轻微上升?
Does that same mutation slightly increase in frequency?
如果所有线索都指向同一个方向,那我们就成功了——这说明自然选择正在发生。
If all the arrows point in the same direction, we win, and they're telling us that natural selection is occurring.
比如,四千五百年前的欧洲,几乎所有的突变都经历了巨大的频率波动。
So for example, four thousand five hundred years ago in Europe, almost all mutations go through huge frequency changes.
但这并不是自然选择的结果。
And that's not because of natural selection.
而是因为来自黑海和里海以北草原地区的游牧民族迁徙。
It's because of the steppe migration from the steppe north of the Black And Caspian Sea.
有40%、50%,甚至80%的DNA都来自雅姆纳亚草原牧民。
40%, 50%, 80% of the DNA becomes yamnaya from steppe pastoralists.
他们的基因突变频率不同,并不一定是因为自然选择,而只是因为他们几千甚至上万年来在不同地方独立演化。
And their frequencies of mutations were different, not because of selection necessarily, but just because they had evolved in different places for thousands and tens of thousands of years.
如果你再看这些后裔群体,就会发现频率发生了巨大变化。
And then if you look at the descendant populations, there's huge changes in frequency.
关键是要弄清楚:自然选择是否解释了超出随机预期的这种变化?
And it's very what you need to do is see, oh, is natural selection explaining a shift more than you would expect by chance?
明白了。
Okay.
在接下来的部分,大卫将详细讲解这篇论文的研究方法。
In this next section, David explains the nitty gritty of the methodology of this paper.
这内容确实有点专业,所以我先让你了解一下结果。
It's honestly a bit technical, and I wanted you to get a sense of the results first.
所以我把这一部分挪到后面了。
So I've moved that section to the end.
如果你想了解具体的研究方法,那就继续听完整期节目吧。
If you wanna understand the methodology, just stick around for the full episode.
好的。
Okay.
你找到了那些似乎受到自然选择影响的位点。
You found these locations that seem to be under selection.
哦,我再问个清楚的问题。
Oh, another clarifying question.
你说有3800个位点,你有50%的把握认为它们在过去一万年里受到过选择。
So you have, you say 3,800 locations, which you are 50% confident are have been under selection in the last ten thousand years.
是7200个,我们有50%的把握。
7,200, which where where we're 50% confident.
哦,抱歉。
Oh, sorry.
所以我们现在大概有7200个DNA位点,有50%的把握认为它们是真实的。
So I think we're getting about 7,200 positions in the DNA that have 50% confidence of being real.
对。
Yeah.
也就是说,这些里面只有一半是真正的。
So only half of those are real.
明白了。
I see.
我懂了。
I see.
所以我们还不知道具体是哪36个。
So 36 which don't know which ones.
明白了。
Got Yeah.
是的
Yeah.
所以有3600个是真的
So 3,600
其中一半是真实的
of them are real.
明白了
Okay.
那是不是说,在这7200个之外,你能确定其他位置都不受选择影响?
And, does that also mean that outside of those 7,200, you're confident the other locations that you know are not under selection?
不是
No.
好的
Okay.
如果你看25%置信度的阈值,那会有多万个位点,其中也有很多是真实的
So if you look at the 25% probability cutoff, there will be tens of thousands, and there will be many real ones there too.
实际上,我们做的多次分析都表明,基因组正充满着自然选择的痕迹。
In fact, multiple analyses we do suggest that the genome is vibrating with natural selection.
对。
Mhmm.
而且还有很多较弱的影响,如果未来有更大规模的研究,这些影响都能被捕捉到。事实上,几乎DNA的每一个位置,都会因为自然选择而被牵动,往某个方向偏移。
And, there's all sorts of weaker effects that are there that would be picked up in larger studies even than we've done, and that, in fact, almost every position in the DNA is, correlated to a position that can be dragged in one way or the other by natural selection.
自然选择并不是静止的,它无处不在。
Instead of being quiescent, natural selection is everywhere.
即使只有2%的频率变化,它也在各个位置上持续地拉扯着,推着它们朝某个方向走。
Even though it's only 2% of the frequency change, it's tugging the positions in one direction or the other everywhere.
所以我们分析了之前识别出的这些位点——几百个我们非常有把握的位点。
So we analyzed these positions that we had identified, these hundreds of positions, the ones we were super confident about.
我们想看看这些位点在DNA上是随机分布的,还是存在某种模式。
And we looked to see whether they were randomly distributed in the DNA or whether they had patterns.
我们查了大约一百种性状,这些性状都做过全基因组关联研究,比如免疫、自身免疫、行为、代谢,还有其他各种各样的特征。
And what we did is we looked at maybe a 100 or so traits where there had been genome wide association studies for all sorts of different traits, like ones associated with immunity or autoimmunity or behavior or metabolism and, basically other, other things.
对于每一个这样的性状,我们都可以问:那些已知影响这些性状的遗传变异,是不是来自全基因组关联研究?
And for each of these, we could ask, are the genetic variations that are known to affect these traits from genome wide association studies?
它们是否表现出异常多的自然选择信号?
Do they have an unusual number of genetic selection signals?
我们发现,免疫相关性状的自然选择信号明显增多,大约是四到五倍。
And what we found is there was a vast enrichment by about a four or fivefold for immune traits.
也就是说,在免疫性状上,选择信号的集中程度非常高。
That is there was a super concentration of selected, signals in immune traits.
代谢类性状也显示出很强的富集,比如与肥胖、脂肪分布或二型糖尿病相关的性状,但行为类或精神类性状,我们几乎没发现任何可检测到的富集。
Whereas also we saw a strong enrichment for metabolic traits, things that might impact your obesity or fat traits or type two diabetes, and really almost no detectable enrichment as far as we could tell for behavioral traits or for, for for psychiatric traits.
为了确认一下我的理解,这并不是说行为、精神或认知类性状没有受到选择。
And just to make sure I understand, this is not to say the behavioral traits or psychiatric traits or cognitive traits are not under selection.
只是说,控制这些性状的单个位点,不太可能出现在我们识别出的受选择位点中。
It's just that the individual sites where such traits are controlled are not especially likely to be among the locations that you've identified as under selection.
对。
Yeah.
说得完全对。
That's exactly right.
所以,从这项分析的结果来看,可能会觉得免疫相关性状确实受到了强烈选择,而过去一万八千年里,这一地区的行为性状根本没有经历过选择。
So so it might seem from the, results of that analysis that, in fact, immune traits are highly selected and that there's been no selection for behavior in the last eighteen thousand years in this part of the world.
但事实上,这个结论是错的,而且我们有明确证据证明它确实是错的。
But in fact, that's a wrong conclusion, and in fact, we have evidence that that's a wrong conclusion.
事实上,我们也有清晰的证据表明,行为性状同样经历了选择。
And in fact, there's clear evidence of selection also on behavioral traits.
我们之所以看到行为性状的选择信号弱得多,原因在于,根据其他医学研究,行为性状由大量基因共同影响,而免疫性状则主要由少数几个效应强烈的基因决定。
And the, reason we think we see, and we have evidence that this is so, much weaker signals for behavioral traits is that behavioral traits, we know from other studies, medical studies, are underpinned by much larger numbers of genes than immune traits, which are underpinned by relatively small numbers of genes of strong effect.
行为性状的遗传基础是成百上千个微效基因的共同作用,而我们目前的统计能力还不足以检测到这么微弱的信号。
Behavioral traits are shaped genetically by very large number of gains of weak effect, and we just don't have the statistical power to detect these very weak signals there.
当我们分析那些非常强的选择信号时,这套方法能高效地捕捉到免疫性状的信息,却很难有效探测行为性状的变化。
When we do an analysis where we look at our very strong signals of selection, that collection of very strong results is very effectively querying the immune traits but is not very effectively querying the behavioral traits.
免疫性状可能确实是选择最强的一类,这一点我估计没错,但绝不能因此就认为其他性状没被选择。
It may still be the case, and I guess it is, that immune traits are the most selected category, but it is not at all the case.
事实上,我们可以证明,行为特征并非没有受到选择。
And in fact, we can prove it's not the case that behavioral traits are not selected.
所以我们认为,自然选择之所以呈现出这样的结果,其实有两个原因,可以帮助我们调和之前的观察与我们的新发现。
So we think there's two reasons why natural selection has, we've been able to prove, really, that there's two reasons why, how to reconcile the previous observations with our new observations.
请记住,之前的观察是,自然选择在数十万年甚至更长的时间尺度上似乎处于停滞状态。
Remember, the previous observation is that is that natural selection seems to have been quiescent over a timescale of hundreds of thousands or many tens of thousands of years.
为什么呢?
Reason?
因为你没看到欧洲人和东亚人之间性状频率有百分之百的差异。
That you don't see a 100% different in frequency variance across Europeans and East Asians.
但现在我们发现了数百个位点,它们的频率在选择作用下迅速上升,很多情况下选择率都达到1%以上。
So now we're seeing hundreds of positions that are rocketing up in frequency with selection rates 1% or more in a lot of cases.
也就是说,1%以上的选择率意味着,在几十代之内,这些性状的频率就能翻倍。
So 1% or more selection rates will mean that there'll be a rapid doubling over periods of dozens of generations.
那么,在欧洲人和东亚人之间相隔的1500到2000代里,难道你不该看到很多基因变异在人群间存在百分之百的频率差异吗?
And so over 1,500, 2,000 generations like you see separating Europeans and East Asians, shouldn't you see many genetic variants that are 100% different in frequency across populations?
所以我们能证明,这至少是由两个因素造成的。
So we were able to show that this is explained by at least two factors.
其中一个原因是,在欧洲和中东这一带,我们正处在自然选择加速的阶段。
So one of them is that we actually, in this part of the world, Europe and The Middle East, are in a period of accelerated natural selection.
要看出这一点,可以看看我们观察到的富集模式——免疫相关性状与这些选择信号异常地关联在一起。
And one way to see this is to look at this enrichment pattern that we're observing where immune traits are unusually associated with these selection signals.
我们可以把最近五千年的时期,也就是青铜时代及之后,跟之前的五千年做个对比。
And we could compare the last 5,000 of our of our time period, what's called the Bronze Age and further onward, to the previous five thousand years.
结果发现,围绕免疫性状和代谢性状的选择压力,确实在这一时期明显增强了。
And what we see is that this intensification of selection around immune traits, similarly, the intensification around metabolic traits, has accelerated over this time period.
所以自然选择并不是在所有地方和所有时期都保持同一速率。
So it's not like natural selection has been at the same rate over all places and times.
事实上,在我们分析的这段时间里,它的强度还在持续上升。
In fact, it's increasing over the time period we're analyzing.
因此,很可能是整个这段时期的选择强度,都比以往任何时期更高。
And so, plausibly, the whole time period has increased compared to previous periods.
所以我们正处在一个选择压力加剧的时期。
So we're in a period of intensified selection.
这其实并不奇怪,因为这个群体经历了生活方式和文化上的巨大转变。
That's not implausible because this is a a population that went through a huge shock in terms of the way people live and the culture.
我们分析的这些人,几乎都是农民或者以某种方式从事食物生产的人。
So this is a population that almost everybody we're analyzing are farmers or food producers in one way or another.
世界上最早的农业是在一万一千到一万两千年前的中东地区出现的。
Farming was invented for the first time anywhere in the world in The Middle East eleven thousand or twelve thousand years ago.
从大约八千五百年前开始,这些发明农业的人群大规模迁入欧洲,迅速扩散到整个欧洲。
The people who invented farming exploded into Europe after eight thousand five hundred years ago and spread across Europe and expanded rapidly.
到了青铜时代,人们的生活方式变得更加密集,越来越多地与牲畜同住,彼此之间以及与动物之间频繁传播疾病。
In the Bronze Age, there was an intensification of how people lived with much higher population densities, people living more and more next to their animals and getting their diseases and exchanging their diseases with them and with each other.
这是一个生活方式急剧变化的时期,导致了人群在生物学需求上的显著转变。
And so this is a period of rapid, rapid change in terms of how people are living resulting in different biological needs of this population.
因此,在这些剧烈变化的背景下,人群的生物学特征可能还没来得及完全适应,也就不足为奇了。
So it's not surprising perhaps that in the context of these dramatic changes, the biology of the population might be not in the I ideally adapted position.
也就是说,可能存在一种所谓的‘进化不匹配’——把原本在狩猎采集者身上演化出来的基因变异,放到农民或牧民身上,就不那么合适了。
That is that there might be what some people call an evolutionary mismatch where you take a genetic variation that's evolved in hunter gatherers and put it into farmers or pastoralists, and it's not exactly right.
所以你现在看到的是,这个群体的DNA,他们仅仅一万年前还是狩猎采集者,现在却突然被扔进了农业、青铜时代、高密度人口和城市环境,正在做出反应。
And so what you're seeing is the DNA of this population, which is descended from hunter gatherers only ten thousand years ago, reacting to the shock of having been moved into an agricultural and Bronze Age and high population density and urban environment.
有一种假说认为,我们所观察到的,正是这种环境剧变所引发的适应性变化。
And a hypothesis is that what we're seeing is the adaptation that occurs as a result of that.
这很有意思。
Interesting.
明白了。
Okay.
所以对你在论文里提到的青铜时代选择压力加剧的多个例子,或许可以帮上忙,你已经举了不少了。
So it might be helpful to you you in the paper, you have you you've had many examples of this intensification of selection around the Bronze Age.
你可以自己选着讲,但要是能挑几个例子详细说说,会更有帮助。
And so feel free to navigate it yourself, but it might be helpful to go through some of these Sure.
例子。
Examples.
我们在这项研究中做的其中一件事,就是仔细分析DNA中大量这样的位点。
So we look one of the things we do in this work is we look carefully at many, many of these positions in the in in the DNA.
我们其实开发了一个在线浏览器,叫Age's Browser,由Ali和他的合作者——也是我们论文的共同作者——一起搭建的,你可以用它查询这上千万个位点,查看每个位点的频率变化轨迹和自然选择的证据。
We've actually have an Internet browser that you could look at called the Age's browser that Ali and a colleague of his, who's a coauthor of our paper, built, that allows you to query these each of these 10,000,000 positions and see the trajectories at each at each position and the evidence for selection.
我们发现,大多数情况下,检测到的自然选择信号表明选择压力是长期稳定的,但有少数几个位点显示,自然选择的方向发生了逆转或剧烈变化。
And one of the things that we see is that while for the most part, the the signals of natural selection we detect are consistent with being constant natural selection over time, in a handful of them, we're able to see that there's been a reversal or a radical change in natural selection.
这种情况经常发生在距今五千到两千年前,也就是青铜时代到铁器时代,那段时间人口快速增长,人们大量迁徙,并开始密集使用许多前所未有的技术。
And very often, that occurs in the period between five thousand to two thousand years ago, which is the Bronze Age and the, Iron Age, a period of rapid population growth and rapid movement to, intensive use of of, of, of many technologies that were not used that way before.
比如,一个叫TIC2的基因变异,是导致严重结核病的主要风险因素,而结核病如今仍是全球最致命的传染病。
So an example of this is the tick two, genetic variant that is a major risk factor for severe tuberculosis, which is the major infectious disease, the most important infectious disease killer in the world today.
如果你看这个结核病风险变异,它的频率从六七千年前开始急剧上升,到这个地区达到了百分之八到十左右。
And if you look at the this major risk factor for tuberculosis, this variant rockets up in frequency from eight or six thousand years ago to maybe nine or ten percent in this part of the world.
但在过去三千年里,它的频率又急剧下降。
Then it rockets down in frequency in the last three thousand years.
在这两个阶段,都有明确的证据表明自然选择在起作用:先是推动它上升,然后又推动它下降。
In both cases, there's very clear evidence of natural selection, in the first case to increase in frequency, and then in the next case to decrease in frequency.
这可能是因为结核病在两三千年前开始在人群中广泛传播,这一点与病原体的基因序列数据和其他证据是一致的。
And a possible reason for this is maybe the spread of tuberculosis, maybe becomes endemic in the population two thousand or three thousand years ago that's potentially consistent with, pathogen, sequence data and other lines of evidence.
也许这个基因变异在那之前还能抵御别的东西,但后来结核病变得严重起来,严重到反而让自然选择朝相反的方向推动了。
And maybe this variant was protecting against something before then, but then tuberculosis became, significant after that point, and it was so bad that it pushed in the up opposite direction.
这还只是推测。
That's speculative.
哦,这挺有意思的。
Oh, interesting.
那它之前抵御的,可能是另一种疾病?
And the thing it was protecting against was probably another disease?
有可能。
Maybe.
为准备这期节目,我做了一轮完整的文献综述。
Prepping for this episode required a full lit review.
我得搞清楚,为什么其他方法在过去一万年里都没能发现自然选择的证据。
I needed to understand why other methods had failed to find evidence of natural selection over the last ten thousand years.
赖希和阿克巴里到底做了什么不一样的地方?
What exactly did Reich and Akbari do differently?
说实话,这其实挺微妙的,因为最关键的信息都分散在好几篇论文里。
Honestly, this was quite subtle because the most important points were distributed across a bunch of different papers.
跟大语言模型聊这个特别让人头疼,它们老是搞混。
And it was frustrating to talk to LLM about it because they kept getting confused.
其中一个模型压根没理解那个核心要点。
One of them would fail to understand an important crux.
于是我换了个模型,结果这个又在下一个点上卡住了。
And so I switched over to a different model, and that one would get tripped up on the very next point.
最后我用了Cursor,同时启动了好几个模型,然后对比它们的回答。
I ended up using Cursor to kick off a handful of models at the same time and compare the results after.
我可以叫一个模型去点评另一个模型的回答。
I could have one model critique the response of another.
这招特别管用,虽然我不是遗传学家,但我至少有基本的判断力,能看出来哪个回答更合理。
This was super useful because while I'm not a geneticist, I do have enough taste to be able to say, Hey, this answer makes sense.
这些都不行。
These ones don't.
我还让Cursor把这项研究做成了闪卡,方便我记住学到的内容。
I also had Cursor turn this work into a flashcard so I could retain what I learned.
Cursor本来是个编程工具,但我发现它用在研究上特别好用。
Cursor started as a programming tool, but I found it really great for this kind of research.
别的工具都没法让我一边读论文,一边同时从多个独立的LLM那里获取答案。
There's no other interface where I can get answers from a bunch of independent LLMs all while reading the relevant paper on the same screen.
去cursor.com/thwarkash试试看。
Go to cursor.com/thwarkash to try it out.
我从这篇论文里得到的一个重要启发是,青铜时代发生了一些奇怪的事,就像你说的,不是每次贸易都这样,但青铜时代的选择压力确实在不断增强。
One of the big takeaways for me from the paper was just that something weird happened in the Bronze Age and that, as you said, we're not like, across trade after trade, the selection intensifies during the Bronze Age.
这对某些情况来说是说得通的。
And this makes sense for some things.
比如,为什么我们会看到乳糖耐受现象——成年人也能消化牛奶?
For example, why do we see lactase persistence, where adults can process milk?
为什么偏偏在这一时期变得更强了?
Why is that intensified during this period?
虽然说得通,但正是在这个时期,人们开始不只是为了肉而养牛,还用牛产奶、剪毛,以及获取其他副产品。
Although it makes sense, this is the time when we don't we start using cattle, not just for the meat, but then also for milk and wool and other secondary products.
所以,乳糖耐受性在这个时候变得更重要,也就说得通了。
So it makes sense this is why lactose would matter lactase persistence would matter more.
但还有一些特征,按理说从农业诞生之初就该有影响了。
But then there's other things which seem like they should have been relevant since the dawn of agriculture.
我记不清那个等位基因的具体名字了,好像是脂肪酸相关的那个,对。
I forget the exact name of the allele, but was it, fat s one Yeah.
它能帮助把植物中的脂肪酸转化成身体所需的长链脂肪酸。
Which, helps convert plant fatty acids into long chain fatty acids that your body needs.
没错。
Uh-huh.
当你从狩猎采集的肉食饮食转向以谷物为主的饮食时,这一点显然就变得很重要了。
And that's obviously relevant when you move from a diet of meat as a hunter gatherer to a diet of cereals.
但为什么偏偏在五千到三千年前这段时间,这个基因受到了特别强烈的自然选择呢?
But why why that is also when I think you found was under a special selection or especially high selection during the, you know, five thousand, three thousand years ago.
对。
Yeah.
那这背后到底发生了什么?
So what's going on?
为什么在青铜时代,你观察到的这些特征全都同时出现了显著变化?
Why is the Bronze Age so special across all these different traits that you're observing?
没错。
Right.
FADS1和FADS2这个变异,其实是一种适应素食或肉食饮食的基因变化。
So FADS FADS one two, this variant, it's sort of a vegetarian slash meat eating adaptation.
其实早在我们这项研究之前,我以前的同事伊恩·马瑟森在2015年就发现,这个变异受到了非常强烈的选择。
And already in work prior to this, actually, Ian Matheson, who, who was a former, colleague who worked with me in 2015, identified this as a very strongly selected variant.
而且这个变异的历史非常悠久。
And it's actually been ancient.
你在古老人类身上也能看到类似的副本。
You see copies in archaic humans too.
我们论文的一项发现是ABO血型系统。
One of the findings of our paper is the ABO blood system.
你知道,你的血型是固定的。
You know, you get your blood type.
就是AB型和O型。
It's AB and O.
B型的比例上升了大约10%,而A型相应减少了。
The B variant has increased up to 10% at the expense of A.
但之前的研究表明,A型和B型在人类与长臂猿的共同祖先那里就已经存在了。
But previous work has shown that A and B were both already present in the ancestor of humans and gibbons.
对。
Mhmm.
就是其他灵长类动物。
You know, other other other apes.
所以这些突变在不同时期反复出现、波动变化。
And so these mutations, some of them have been going back and forth and fluctuating over time, in different time periods.
但我们说的是青铜时代发生的变化。
But we're talking about changes in the Bronze Age.
比如这个TYK2变异,它影响结核病和多发性硬化症的风险,在青铜时代之前频率上升,但大约两三千年前又逆转了。
So this TYK2 variant for, tuberculosis risk, multiple sclerosis risk variant inflected and increased in frequency before the Bronze Age and then two or three thousand years ago reversed at that period.
在北欧,这种现象特别明显,既有很强的正向选择,也有很强的负向选择。
And there's differences in Northern Europe where this process is super strong, very strong positive selection, very strong negative selection.
而在南欧,变化就小得多,负向选择甚至不明显。
And then in Southern Europe, only a little bit and not even very strong negative selection.
像血色病这种铁过载导致健康问题的状况,在欧洲也差不多在同一时期出现了逆转。
For hemochromatosis, which is iron pathogenic iron buildup that causes problems, in Europe, that too has reversed around this period.
至于一些更复杂的性状——我们后面可能会聊到——这些性状也经历过自然选择加强的阶段。
In some of the complex traits that maybe we'll talk about later, these traits too have periods of intensification of natural selection.
比如肤色变浅,过去一万年里,欧洲人的皮肤逐渐变白了。
For example, depigmentation, which is the, Europeans have depigmented, gotten lighter skin over the last ten thousand years.
我们的数据里就能看出来。
You can see it in our data.
皮肤变白最明显的时期是在大约四千到两千年前。
The period of strongest depigmentation is between about four thousand to two thousand years ago.
那之后就明显减弱了。
And then after that, it's much less.
看来这是一个非常关键、充满变化的时期,我们所观察到的许多过程都在这时变得特别强烈。
And so this seems to be a very impactful, eventful, important period where a lot of the processes that we are seeing become very powerful.
从常理来看,这其实挺让人意外的。
And it's surprising on first principles.
你可能以为,一看到这些遗传数据,最大的变化应该是人类开始种植作物。
You might think before you walked into this genetic data that the big change is gonna be starting to grow plants Yeah.
还有驯养动物。
And maybe farm animals.
这些确实发生在新石器时代,大约一万到一万两千年前,之后在八千五百年前左右传入欧洲。
And that happens in the Neolithic, beginning ten or 11 or 12,000 years ago and spreads into Europe after 8,500 ago.
但实际上,这种强化发生在五千年前、四千年前。
But, actually, the intensification happens 5,000 ago, 4,000 ago.
所以这个发现很关键——它表明,至少在这一地区,人类在某个时刻被彻底拉离了狩猎采集祖先的生活方式,身体不得不做出剧烈适应。
And so it's really interesting, this observation of that being a key point, that being an inflection point, tells us something about when humans, at least in this part of the world, were wrenched into a way of living that was so different from how the hunter gatherer ancestors lived that the organism had to adapt very strongly.
也许从旧石器时代转向青铜时代所经历的剧变,比最初开始农耕时的转变还要剧烈。
And that maybe the degree of that wrenching process moving into the Bronze Age was qualitatively greater than the degree of the wrenching process that happened from the initial transition to growing plants.
这很让人意外,因为我们通常以为,最大的转折点就是农业的出现。
So which is surprising because our cartoon picture is that the big transition is farming.
但基因数据、生物层面的反馈却显示,我们的基因组对五千年前发生的这些事件反应更强烈。
But the genetic data, the biological readout is saying our genome is reacting much more strongly to this these events that happened five thousand years ago.
你和巴蒂亚以及许多同事在2014年做过一些研究。
So you did some work with Batya and many other colleagues in 2014.
你们当时分析了两万到三万个非裔美国人的基因组,发现他们的基因构成大约80%来自西非,20%来自欧洲。
You were looking at 20 or 30,000 African American genomes today, and you were saying, look, there's some percentage, 80% West African DNA and then 20% European DNA.
那么,我们今天看他们的基因,会不会发现等位基因频率和单纯由混合比例预期的不一样?
And can we look at their genomes today and do we see that their allele frequencies are much different than what you just expect from this admixture?
你发现的是,如果我没理解错的话,他们并没有出现这种变化。
And you find correct me if I'm wrong, but you found that they weren't.
也就是说,在两三百年的极端环境变化之后——比如经历了奴隶制,完全陌生的新环境——竟然没有自然选择的痕迹。
That is to say that over two hundred, three hundred years of extremely intense environment change, you know, going from, you know, yeah, chattel slavery and, yeah, completely new environment.
自然选择完全没有发挥作用。
There's no effect of natural selection.
所以我们看到这样的情况:有时候完全看不到自然选择的迹象,但青铜时代显然产生了更强的影响,或者环境变化比非洲人被迁移到新大陆、在奴隶制下生活所经历的还要剧烈。
And so we see episodes like this where we don't see natural selection and then but then the Bronze Age apparently must have had an even stronger effect or the change in environment is even stronger than what we see from Africans in Africa than being trans migrated to the, to the new world and then living under slavery.
这可能是真的。
That that may be the case.
也有可能是,那个时期太短了,还没来得及显现明显的效果。
It also may be the case that that period is just too short to see much effect.
在巴蒂亚等人那项研究中,我们分析了大约三万名非裔美国人,想看看他们的基因组中,某些区域的西非血统比例是不是显著高于或低于平均的80%——如果自然选择在起作用,比如欧洲或非洲的某些基因带来优势,我们本该看到这样的偏差,但结果完全没有发现任何显著偏离随机预期的区域。
So what you're looking in for in the Batya et al paper, where we looked at about 30,000 African Americans and look to see whether there is instead of the average percentage of maybe around 80% West African ancestry in some places in the DNA, more than 80% in some places in the DNA, less than 80% significantly, as you would expect, if there was natural selection from some genetic variant for your from Europeans or from Africans, we didn't see any place in the DNA that was significantly different from what you'd expect by chance.
对。
Mhmm.
所以,一个可能的解释是,自然选择只经历了短短几代,大概五代左右。
And so, one possible explanation for that is just that there's only a handful of generations, maybe five, over which the natural selection would operate.
如果每代选择强度只有2%,累积起来也不过10%左右。
And so maybe if the selection was 2% a generation, you would still only see maybe a 10% compounded effect.
时间太短,根本没法检测出来。
And there's just not enough time to detect it.
但青铜时代可不是三百年,而是三千年。
But the Bronze Age is not three hundred years.
整整三千年啊。
It's three thousand years.
这就像复利效应,时间越长,威力越大。
It's the power of compound interest.
有了这么长的时间,自然选择的影响就明显看得出来了。
And you have enough time to begin to see a strong effect.
但这段时期在人类历史上确实影响深远,我们在各种复杂性状上都能看到它的痕迹。
But this really, really, really does seem to be a very impactful time in terms of human history, and you can see it in our complex traits.
比如,如果你看肤色这一项,这是我们数据集中最明显的复杂性状选择信号。
So for example, if you look at pigmentation, for example, which is the, strongest signal of selection for a complex trait in, our dataset.
你可以看看那些已知影响肤色的基因突变。
So you look at genetic mutations that are known to affect pigmentations.
把这些突变的影响加总起来,整个基因组里有几十甚至上百个这样的位点。
You add up their effect across all of the DNA, so there's dozens or hundreds of them.
然后你就会发现,自然选择最强的时期,大概是在两千到四千年前。
And you look to see in what time are the natural selection strongest, and the time period is really, two thousand to four thousand years ago.
其他一些性状也是这样,最强的选择压力同样出现在两千到四千年前。
And for some of these other traits as well, you see, again, the time period over which the selection is strongest, is two thousand four thousand years ago.
再比如,如果你看那些影响认知能力的基因变异——像今天白人英国人做智力测试的表现这类指标。
So, for example, if you look at, genetic variants that affect, measures of cognitive performance, for example, such as performance on intelligence tests, in, people in white British people today.
当然,这种性状在古代根本没法测量,那时候既没有智力测试,也没有学校。
So this is, of course, a very strange trait to measure in the past because there were no intelligence tests and there was no school.
但它在今天是个有效的预测指标,我们还是能回溯它在过去的变化。
But it is a predictor today, and you could look at how it's changed in the past.
我们发现,这种基因变异组合对人的智商测试表现有很强的自然选择压力,同时也与预测个人受教育年限或家庭财富的指标高度相关。
And we see very strong natural selection for this combination of genetic variants that predicts people's performance on IQ tests and also is highly correlated to the predictor that predicts the number of years of school or the household wealth of people.
这些特征在古代简直难以想象,因为那时候根本没什么财富可言。
All crazy traits in the past because there was no wealth in the past.
那时候也没有学校。
There was no school in the past.
但如果我们看今天的这些预测指标,就会发现它们在系统性地朝着某个方向变化,效应幅度很大,接近现代人群变异标准差的一个单位。
But if you look at the predictors today, there is a strong, there is a strong movement in a systematic direction, a large effect about a standard deviation on the scale of modern variation.
于是我们可以用一个技巧,看看在哪些历史时期,这种自然选择发生得更强烈,或者更弱。
Then we can do this trick of looking to see whether there's periods of time when this natural selection has occurred more intensely or less intensely.
我们的做法是,把一个两千年的窗口在数据中滑动,不是分析整整一万八千年,而是只聚焦在短短两千年的区间内重复整个分析。
What we do is we drag a 2,000 window through our data, and we repeat our whole analysis not on eighteen thousand years, but just on a short two thousand year window.
这样我们就能测算出每个两千年内自然选择的强度。
And we can measure the strength of selection in each of these two thousand year windows.
当你观察智力相关的趋势时,会发现它的峰值出现在青铜时代,大约五千到两千年前。
And what you see when you look at intelligence is you see that this maxes out in the Bronze Age between 5,000, 4,000, 3,000, 2,000 ago.
而在过去两千年里,影响几乎可以忽略不计。
And the impact in the last two thousand years is almost nothing.
根本找不到自然选择的任何迹象。
There's no evidence of natural selection at all.
你可能会觉得,我本人也可能有这种偏见——如果这种特质真有自然选择的信号,那应该在最近两千年最强才对。
You might think your bias coming into this, my bias perhaps, if there's any signal of natural selection on this trade at all, might be that it would be unusually strong in the last two thousand years.
毕竟这是工业化时期。
Maybe this is a time of industrialization.
也许这个时代对这种特质的需求更大。
Maybe this is a time of greater need for this particular trait.
但事实上,过去两千年里完全看不到自然选择的痕迹;相反,在四千到两千年前这段时间,自然选择的强度反而翻了一倍,平均达到两个标准差。
But in fact, there's no evidence of natural selection at all in the last two thousand years, but there's very strong evidence in between two thousand and four thousand years ago where instead of a one standard deviation strength of selection, it's a two standard deviation strength, sort of averaged over this time period.
这里的标准差是指这种特质的多基因评分本身变化了多少吗?
And the the standard deviation here is how how much the polygenic score for the trait itself moves?
或者
Or
也就是这个多基因评分性状在一万年的时间跨度里的变化幅度
How much the polygenic score trait moves, over a ten thousand year period
明白了。
Got it.
而且这个研究里的人群祖先背景是保持一致的,没有发生变化。
Within a population that is held constant in terms of its ancestry.
懂了
Got
对,没错。
it.
因为我们现在研究的数据集里,包含了各种各样的人群。
Because what's actually we're doing is we're looking in our dataset at a kind of heterogeneous group of people.
里面有南欧人、北欧人,还有狩猎采集者和农民。
There's, you know, Southern Europeans and Northern Europeans and hunter gatherers and farmers.
在过去的不同时间段里,这些人群在数据里的占比有高有低。
And at different times in the past, those groups are more or less represented.
是的
Yeah.
所以阿里·阿克巴里开发的这种方法的核心优势,就在于它能校正随时间变化的祖先构成影响。
So the whole strength of the methodology Ali Akbari developed is it corrects for that, changing ancestry over time.
正如我之前提到的,我们实际上把整个数据集划分成了分布在不同空间和时间点上的一个个小群体。
And as I mentioned before, really what's being asked here is we've divided up our whole dataset into an archipelago of little populations in different places in space and time.
我们分别考察每个时空点上的小群体:比如四千到三千五百年前英国的一群人,匈牙利的一群人,还有两千到一千五百年前意大利的一群人。
And we're asking in each place in space and time a little pocket of people in Britain from four thousand years ago to three thousand five hundred years ago, a little pot kind of people in Hungary, a little pocket of people in in Italy from two thousand years ago to 1,500 ago.
在这些地方,由于在短短几百年内没有受到大规模迁徙的严重干扰,祖先构成相对稳定,我们就观察基因变化是否朝同一个方向发展。
And each of these places, where the ancestry is relatively similar without being too disrupted in that short period by, migrations, we watch to see if the genetic changes blow in the same direction.
是的
Yeah.
我们在这里做的是,在校正了大规模人口变动之后,测量每个时间点上的选择强度。
And what we're doing here is we're measuring the strength of selection at each point in time after correcting for the big population changes that have occurred.
明白
Okay.
所以这个影响真的非常大。
So the the effect here is huge then.
因为,如果你说一个标准差,那比中位数高一个标准差就是第85百分位的人。
Because, like, if you're if you're saying one standard deviation, a standard deviation above the median would be somebody in the eighty fifth percentile.
也就是说,自然选择的力量如此之强,以至于从一万年前到现在,中位数已经直接跳到了第85百分位。
So you're saying that the effect of selection has been so strong that compared to ten thousand years ago versus now, you know, the the median has gone to the eighty fifth percentile.
这在过去一万年里,对智力或者预测家庭收入这类特质的影响,简直太惊人了。
And that that's just like a huge effect over the last ten thousand years on something like intelligence or this the the thing that predicts household income or whatever.
尤其是考虑到,这仅仅占了等位基因频率变化的2%,剩下的98%都来自人口迁徙。
So these seem like especially given that this is only 2% of the change in halo frequencies and then, like, the 98% is coming from migration.
那这么一来,迁徙本身的影响岂不是更加难以想象?
So then then it's sort of stupendous to think about, like, well, what is the impact of migration then?
如果真是这样,
If Yeah.
光是这2%就足以解释这些特质在一个标准差范围内的变化,至少在我们今天看到的世界差异范围内是这样。
This alone can explain, or is driving a standard deviation change in these kinds of qualities, at least among the kind of variation we see in the world today.
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从数据中可以看出,移民的影响非常大。
One thing you can see in the data is the migration impact is huge.
比如,看看今天英国白人认知能力的表现,像智力测试的分数,再对比古代人群的预测值,欧洲狩猎采集者的得分比现代平均水平低了整整三个标准差。
So for example, if you look at the trajectory for, you know, measures of cognitive performance like, scores on intelligence test in white British people today, but you look at the predictor of that in people in ancient times, the estimate for the hunter gatherers of Europe is, like, three standard deviations below the modern mean.
没错。
Right.
这差距实在太大了。
So that's hugely different.
是的。
Yeah.
从狩猎采集者到农民,分数一下子跳到了平均水平,这正是移民带来的变化。
And then you see a huge jump from them to the hunter to the farmers who are, like, at the mean, at zero, and that's migration.
对。
Yeah.
你看到的是,这两个群体在这些特质上的基准水平原本就不同。
So what you're seeing is those two groups had different set points for those traits.
对。
Yeah.
而步径存储列表的设定值则更低。
And then the step path store list have a lower set value of this.
是的。
Mhmm.
因此,你看到这个特质的预测指标在历史上波动巨大。
And so you see huge fluctuations in the predictor of this trait over time.
这并不能证明是自然选择的结果。
That doesn't prove selection.
这仅仅说明了迁移的影响。
What that is just telling you is migration.
但我们的检测方法想揭示的是:除了这些由迁移引起的波动之外,是否还存在一种持续的自然选择效应,让这个特质在不同时期、不同地区都朝同一个方向变化?
But what our test is telling you is, in addition to those fluctuations due to select, due to migration, is there a consistent effect of natural selection blowing the trait in the same direction over all over all places at times?
而这正是我们所发现的。
And that's what we're detecting.
是的。
Yeah.
有个人提出了集体智慧假说,认为人类智力的选择方向其实恰恰相反。
So there's this, a person who has a theory of collective intelligence hypothesis, which is this idea that, the selection for intelligence has actually been in the opposite direction.
随着社会的发展,分工变得越来越细。
That as society has developed, there's been more specialization.
分工越细,每个人只需要掌握世界中越来越小的一部分知识。
If there's more specialization, each person only needs to understand a smaller and smaller part of the world.
所以,古人其实比我们聪明得多,而我们反而在智力上退化了。
And, therefore, actually, the ancients were much smarter than us, and we've sort of evolved out in intelligence.
但你的研究结果却指向了相反的方向:尽管过去两千年里,随着社会越来越复杂,自然选择似乎没有明显作用,但在社会刚起步的时候,对今天能预测智力的那些能力需求反而更高。
And your results seem to point in the opposite direction that although there's not been election in the last two thousand years as, you know, society has gotten more complicated, at least when society began, there was more need for the kind of thing that predicts intelligence today.
这让人意外,因为如果你想想狩猎采集者——比如读了你同事约瑟夫·亨里奇的书,就会发现他们需要记住和判断的信息量有多大:从怎么处理食物,到怎么搭棚子、生火,等等——相比之下,我只需要会摆麦克风、提问题就行。
And the reason that's surprising is if you think about hunter gatherers, yeah, reading your colleague, Joseph Hendrick's book, the amount of information that they needed to hold onto and assess everything from, how to process food, to how to build shelters, fire, etcetera, compared to my world where I gotta, like, know how to set up mics and ask questions.
这让人觉得,祖先所面对的智力挑战,应该远远超过我们现在。
It's just like it seems like the demands on intelligence should have been, like, way higher in the ancestral environment.
所以,文明初期反而加强了对智力的选择,这真的很让人意外?
And so it's very surprising that the beginnings of civilization increase the, the selection on intelligence?
没错。
Right.
这就是数据的力量。
So, you know, this is the power of data.
对吧?
Right?
如果你去问乔,让他在这些研究之前预测一下狩猎采集者在智力这个特质上的选择压力,他大概不会给出很明确的判断,但他可能会说,按理说,这些人要处理的食物、搭建庇护所、生火等等,要掌握的信息这么多,智力水平应该挺高的。
Like, you know, the I think, Joe, if you asked him, prior to this work, what the hunter gatherer selection would be and where their set point for, you know, this particular trait would have been, you know, I think he probably wouldn't have made a very strong prediction, but he would have said, well, maybe you would have expected it to have a high predicted value of this trait because these people were really having to do a lot of things and figure a lot of stuff out maybe.
而一旦社会变得更复杂,集体智慧发挥作用,智力这个特质反而可能被削弱。
And that maybe once you have more complex societies, there'll be more of a collective brain, and maybe there'll be selection against this trait.
但实际情况恰恰在某些方面是相反的。
And in in fact, it's sort of the opposite in some ways.
所以说,数据真的很有说服力。
So it's the power of data.
这跟你想的完全不一样。
It's not what you expect.
看了这些数据之后,你才会真正体会到数据的价值——它能帮我们理清这些复杂的问题。
And, you know, after looking at this data, it's actually the value of data to try to make sense of all these things.
说实话,这真的很有趣。
You know, it's very interesting.
比如智力的基因预测指标,里面有很多让人困惑的地方。
Like, the genetic predictor of intelligence, there's lots of kind of things that are confusing about it.
所以这确实值得好好聊聊。
So it's actually worth talking about it.
还有受教育年限的基因预测指标,它和智力高度相关,而且测量得更准确。
Or the genetic predictor of years of schooling, which is highly correlated to it and is measured even better.
如果你看受教育年限的基因预测,2017年有一项来自冰岛团队的惊人研究,他们分析了过去一百年冰岛人的这一指标。
So if you look at the genetic predictor of years of schooling, there's another amazing study from 2017 from a group in Iceland, that looked at this measure over the last hundred years in Iceland.
他们对比了年长者和年轻一代,也就是近年来在冰岛出生的人。
And it looked at older people and it looked at younger people, people born more recently in Iceland.
仅仅一个世纪内,冰岛人群的智力遗传预测值就下降了约零点一个标准差,这么短的时间内出现这么大的变化,简直惊人。
And there's an estimated point one standard deviation decrease in genetic predictor of intelligence in Iceland just within one century, is an absolutely huge effect over a short period.
这其实是对受教育年限的一种自然选择压力。
And this is selection against years of schooling.
我刚才说智力,其实不是这个意思。
If I said intelligence, didn't mean to.
真正被选择的是与受教育年限相关的遗传指标。
It's selection against, the numb genetic predictors of numbers of years of school.
所以,对这个现象的一种可能解释——虽然有点笼统——是,我们实际测量的并不是对受教育年限或真实智力的选择,而是另一个与两者都相关的特质。
And so one possible interpretation of this, sort of hand wavy, is that actually what's being measured here is not selection for years of schooling or for actually real intelligence, but for another trait altogether that's correlated to both of them.
比如,受教育年限的遗传预测值,和女性首次生育的年龄高度相关。
For example, the predictor of numbers of years of schooling is very, very strongly correlated to the age at which women have their first kid.
一旦你把生育年龄这个因素控制住,受教育年限的遗传信号就完全消失了。
And if you control for that for numbers of years of schooling, all of the signal of, years of schooling goes away.
所以,我们真正测到的,可能是女性决定何时生育的倾向。
So maybe what you're measuring is women's decision about when to have children.
如果你早点生孩子,上学的时间就会少一些。
And, you know, if you have children earlier, you don't go to school as much.
如果你晚点生孩子,上学的时间就会更长。
If you have children later, you go to school more.
这可能反映的是一种延迟满足、拖延或者规划的能力。
Maybe it's some kind of measurement of delaying gratification or putting things off or planning.
同样的特质还和体重指数、肥胖,甚至走路速度有关。
The same trait is correlated to body mass index, to obesity, or to, walking pace.
这真的是我们通常理解的智力吗?还是说,这只是过去某个时代下表现出来的另一种特质?
So is this really, like, intelligence as we think about it, or is it something else that manifests itself differently in different times, in the past?
是的。
Yeah.
明白了。
Okay.
显然,在过去,上学年限本身并没什么特别的意义。
So, obviously, a trait like years of schooling was not itself a meaningful thing in the past.
而背后这些因素似乎经历了强烈的选择压力。
And the underlying things for it seem to have been under strong selections.
基因里能预测受教育年限的那些东西,显然也受到了强烈选择。
Whatever in the genome predicts years of schooling seems to have been under strong selection.
那我们该怎么理解这一点呢?
And how how should we think about this?
到底是什么在基因层面发生了变化?
What like, what is the actual thing that's changing in the genome?
是的。
Yeah.
我觉得有两点你需要考虑。
Well, I think that there's two things going on that you need to think about.
一方面,受教育年限在基因上和很多其他特质都有关联。
So One of them is that years of schooling is connected to so many other things genetically.
现在,关于受教育年限的基因预测指标,已经在数百万人群中被研究过了。
If you look at the genetic predictor of years of schooling, this trait has been measured in millions of people now.
它实际上和很多出人意料的事情有关联。
It's actually correlated to really, really surprising things.
比如女性初次生育的年龄。
It's correlated to the age at which women have their first kid.
还和人们的肥胖程度有关。
It's correlated to people's obesity.
也和人们的走路速度有关。
It's correlated to people's walking pace.
还和家庭财富有关。
It's correlated to people's household wealth.
甚至和许多看似完全不相关的其他特征都有联系。
It's correlated to a variety of other traits that seem quite different from it.
如果你以为自己测的是智力、学习年限,或者勤奋程度这类东西,那可得再想想了,因为它关联的因素太多了。
So if you think you're actually measuring years of, genetic prediction of intelligence or years of or or actual, you know, studiousness or something like that, you should think again because there's many things that it's correlated to.
似乎存在某种更普遍的特质,也许是执行功能,或者是延迟满足的倾向,也可能只是我随便说说——但这种特质正在被自然选择塑造,推动所有这些特征朝同一个方向发展。
There seems to be some kind of general trait that maybe you could think of as executive function or maybe propensity to defer gratification or something, or I may just waving my hands that is under selection, and it pushes all these traits in the same direction, one way or the other.
在过去不同的时期,这种特质可能是有利的,也可能是不利的。
And in different times in the past, it's it's it's advantageous or disadvantageous.
但当我们发现教育年限这个信号——也就是人们受教育时间更长的遗传倾向,在今天的英国白人身上表现出来时,我们简直不敢相信。
But when we found this signal of, years of schooling, being increased, the the genetic propensity to go to school for more years, as it manifests itself in people, in white British people today, when we found the signal, we were sort of incredulous.
这怎么可能呢?
Like, how could this be?
会不会是哪里出错了?
Maybe this is a problem.
所以我们做了一些检验,想确认这到底是不是真的。
So we did a few tests to try to figure out whether this was real.
其中一项检验是,我们找了一项研究,那项研究测量的不是欧洲人的教育年限,而是中国境内中国人的教育年限。
And one of the tests we did is we looked for a study where this measurement of the numbers of years of school was done not in Europeans but was done in Chinese people in China.
我们分析了那些影响中国人群教育年限的基因变异,看看它们是否与过去一万年间欧洲人群相同基因变异的演化趋势有关联。
And we looked at variants that had the effect size of many variants as they affected the number of years of school in China, and we saw whether they had a relationship, a correlation, to the trajectory of those same genetic variants in Europeans over the last ten thousand years.
这两个地区的人群,长期以来基本上完全没有任何交流。
So these are two parts of the world where the populations have been essentially completely disconnected.
欧洲人过去一万年里的这种变化趋势,不可能只是偶然跟今天中国人的受教育年限有关。
And there's no way by chance that the trajectory in Europeans over the last ten thousand years will have anything to do with the number of years, the effect on the years of schooling in China today.
但实际上,两者之间存在巨大的统计相关性,相关程度高达五到六个标准差,也就是中国当前受教育年限的效应大小,和欧洲人群的演化轨迹之间高度相关。
But there's actually a huge statistical correlation, a five or six standard deviation correlation between the effect size of variance, a number of years of school in China today, and the trajectory in Europe.
这种相关性甚至和欧洲人自身遗传变异对受教育年限的影响强度几乎一样强。
Just as strong, actually, as the effect size of variance in Europeans to years of school to to the trajectory in Europeans.
我们实在想不出,这怎么可能只是巧合。
So we just could not see a way this could happen by chance.
一旦看到这一点,我们就非常确信,这确实是一个真实存在的信号,说明自然选择在过去确实倾向于推动那些今天表现为更长受教育年限的基因变化。
And once we saw that, we really felt quite convinced that this was a real signal and that really somehow there has been natural selection to increase the genetic changes that today manifest themselves as more years of school predicting more years of schooling.
明白了。
Alright.
为了确认我有没有理解错,你的意思是,你们在研究欧洲的古代DNA,发现这些DNA似乎能预测现代欧洲人的受教育年限,或者说,古代DNA里存在某种选择压力,让这些基因更倾向于让人接受更长时间的教育。
Just to make sure I understood, you're saying you're, you know, you're you're looking at this ancient DNA in Europe and you're saying, well, it seems to predict years of schooling for modern people in Europe or at least a selection on those ancient DNA that ancient DNA seems to predict more years of schooling in modern Europe.
然后你们还发现,同样的这些基因变异,也能预测中国人的受教育年限。
And then you also find well, it also predicts how the same variants predict more years of schooling for Chinese people in China.
是的
Yeah.
所以这并不是欧洲那些GWAS研究方法带来的什么奇怪偏差。
And so this is not just some weird artifact from the way these GWAS were done in Europe.
这些基因组片段似乎能稳定地预测真正导致受教育年限延长的因素,至少在今天的人群中是这样。
This seems to parts of the genome seem to robustly predict the kind of thing that actually leads to more years of schooling, at least in people today.
没错。
Correct.
Jane Street 很保密,但我了解到一个内部机制,能很好地体现他们文化中高度信任和独特的一面。
Jane Street is pretty secretive, but I did learn about one internal mechanism which illustrates how high trust and weird their culture is.
研究人员并不会被分配计算资源。
Researchers aren't given compute allocations.
相反,Jane Street 的员工会用一种叫 Hivebucks 的内部货币,实时竞拍计算资源。
Instead, Jane Streeters use an internal currency called Hivebucks to bid for compute in real time auctions.
每个人都可以随意出价 Hivebucks,但你的出价应该真实反映你想要运行的实验所值的美元金额。
Everybody can spend as many Hivebucks as they want, but your Hivebucks bid is meant to represent the real dollar value of the experiment that you want to run.
值得注意的是,在拍卖过程中,任何人都可以修改别人的出价。
Now, notably during the auction, anybody can change anybody else's bid.
拍卖结束后,人们甚至可以直接终止别人的任务。
And after the auction, people can even kill each other's jobs.
大家彼此信任,都会以公司整体利益为重来这么做。
People just trust each other to do this in a way that benefits the whole firm.
因此,Jane Street 的计算资源分配能实时反映对最高优先级任务的共识。
As a result, Jane Street's allocations reflect a near real time consensus on the highest priority uses of compute.
正如他们的机器学习工程师 Axel 所说。
As Axel, one of their ML engineers put it.
我觉得 Jane Street 的运作方式非常自下而上,有很多不同的研究员各自训练自己的模型,比如序列模型,还有各种稀奇古怪的东西。
I think Jane Street's, like, pretty bottom up in terms of we have lots of different researchers who are all training their own models, sequence models, all sorts of other weird and wonderful things.
顺便说一下,他们新签了计算资源协议,给内部经济注入了六十亿美元的‘高币’刺激。
By the way, with their new compute deal, they've just added a $6,000,000,000 high buck stimulus to their internal economy.
Jane Street 正在招聘研究员、工程师和实习生。
Jane Street is hiring researchers, engineers, and interns.
想去了解更多?请访问 janestreet.com/thorcash。
Go to janestreet.com/thorcash to learn more.
明白了。
Okay.
我们不妨退一步看,我想弄清楚的是,过去一万八千年里,我们的环境到底发生了什么变化?
So stepping back, I wanna understand I think there's this question about what what does this tell us about what actually changed in our environments, over the last eighteen thousand years?
之前我们聊过青铜时代之后发生的事。
And we talked a little about what happened after the Bronze Age.
让我有点意外的是,我们现在居然在讨论集体智能时提到这个话题。
I wanna understand it's surprising to me we're talking about this during the collective intelligence part of the conversation.
但更让我意外的是,像智力、没有精神分裂症这些特质,似乎都相当稳定地保持在良好状态。
But it's surprising to me that things like intelligence or lack of schizophrenia or so forth, things just seem kind of robustly good.
在青铜时代之前,我们远没有达到智力的极限。
We're not maxed out before the Bronze Age.
事实上,不同人群之间的差异非常大,比如欧洲的狩猎采集者,如果当时有智力测试,他们的预测得分比平均水平低了整整三个标准差。
And in fact, there were so much the diversity among different populations was so big that you have the European hunter gatherers having three standard deviations is less predicted value for, you know, what they would score an intelligence test tested if it existed.
但他们生活在真实世界里,那里智商确实很重要。
But, you know, they were existing in the real world in a place where intelligence matters.
所以,你怎么解释呢?你看人类身体,或者任何动物,进化都强烈地塑造它们去适应生存所需的功能,可唯独这个似乎至关重要的能力,在旧石器时代或中石器时代却没受到强烈选择?
And so how can it be that the this was not a you just look at the human body or any animal and just like this evolution has been acting on it so strongly to make it functional, the things it needs to do.
而且,像智力这种对狩猎采集者来说如此关键的能力,为什么在那个时期没有被强烈地筛选出来呢?
And this one thing, which seems like so relevant, especially to what human hunter gatherers needed to do, is not under doesn't seem to have been under that strong selection in the Mesolithic or Paleolithic or those eras?
我觉得这是个非常好的问题。
I think that that's a great question.
就像我们之前说过的,人类的自然选择效率非常高。
And, like, as we talked about before, the the the the human adept selection is very effective.
只要某种特质在特定环境中具有适应性,它就能在几百年甚至几千年里,把群体的平均值显著地推高或拉低。
You it can move the mean value of traits within hundreds or thousands of years in one direction or the other if that's adaptive in a particular environment.
所以你可能会想,智力难道不是在任何时代、任何地方都有好处吗?
And so you might wonder, isn't intelligence good, you know, in all contexts and places and time?
我觉得这个问题可以从好几个角度来理解。
And I think that there's a number of ways to think about that.
首先,我觉得我们是从一个极度重视这种特质的社会角度来说的,比如能考高分、参加长期教育之类的。
First of all, I think we are speaking from the point of view of a society which intensely values this particular trait, you know, ability to score well on, IQ tests or things like them or to go to school for a long time or whatever it is.
我觉得在人类历史上,像现在这样重视智力的时代是前所未有的。
And I think this is unprecedented in human history that we live in a time like this.
你要是翻翻希伯来文和基督教的《圣经》,会发现里面根本没怎么推崇智力。
Like, if you look at the, you know, Hebrew and Christian bible and you look at how much intelligence is valued, it's basically not at all.
等等。
Wait.
但《圣经》写成的时候,尤其是《旧约》,恰恰是人类智力受自然选择最强的时期。
But that when when the Bible is being written, especially the Old Testament, is exactly when selection for intelligence is the highest point Yeah.
这可能是历史上最强的了。
It's apparently ever been.
是的。
Yeah.
没错。
Exactly.
但其实,那时候看重的是力量、勇气、虔诚这些品质。
But, like, there's it's about strength or courage or religiosity or right.
那些才是当时的核心价值。
Those are the values.
对吧?
Right?
如果你读荷马史诗,或者别的宗教经典,里面根本不是讲聪明才智。
Or if you read Homer, or the other texts of other religions, it's not intelligence.
讲的是美。
It's it's beauty.
是其他一些东西。
It's, like, other other things.
所以这种极度推崇智商的价值观,显然不是过去常见的标准。
And so this value system, which has a hyper focus on, you know, you know, smarts is not obviously a trait trait value that's been common in the past.
你可能会觉得,某些群体里,比如有些地方,确实会更看重类似受教育年限这样的东西。
You might think that in certain communities like, you know, some communities are not, there might be valuation of things that are more proximate to, you know, years of schooling.
但总的来说,这种特质在人群中并不被高度重视。
But really broadly, it's not been a high value in the population.
但显然,我们讨论的并不是直接的智商测试表现,尤其是在过去。
But obviously, the the thing we're referring to is not or the thing we care about is not direct performance on IQ test, especially in the past.
我想更清楚地理解的是,这里说的‘智力’是不是一个更广泛的概念?
That I think the thing I'm trying to understand better is this is intelligence more broadly?
也许智商测试所测的这种智力,和在新环境中自己找食物、搭住所这些事并没有很强的关联。
And maybe just that IQ test intelligence is not that correlated with here is a new world environment and go figure out how to process food there and make shelter and everything else.
所有这些事,就像你的同事约瑟夫·亨里奇提到的,现代人往往低估了小群体完成这些任务有多难。
All the things which, you know, your colleagues like Joseph Hedinger talked about, like, the how modern people underestimate the difficulty of doing this kind of thing with a small band of people.
总之,我想说的是,也许这根本就不是智商测试所衡量的那种智力,所以我们在进化中没看到它被强烈筛选的迹象。
Anyways, this is to say, like, maybe that's not IQ test intelligence and that's why we don't see that strong selection effect on this thing.
但我直觉上觉得,不管价值体系如何,拥有这种能力到极致总是非常有价值的。
But I just intuitively, it seems like regardless of the value system, it just seems very valuable to, have this trait maxed out.
所以我说的这些都只是很推测性的。
So so I'm being very speculative.
是的。
Yeah.
让我举两个例子,说说我脑子里是怎么想的——当然,我并不是这方面的权威。
And let me give you two examples about how about what this about in my head, how I'm thinking about this, and not that I'm a particularly good authority on these things.
但正如我提到的,很多看似差异很大的特征,其实彼此之间高度相关。
But as I mentioned, a lot of these traits, which are quite disparate, are highly correlated to each other.
对。
Yeah.
肥胖、受教育年限、步行速度、智商测试表现、家庭财富,这些看似杂乱无章的特征,很大程度上都受一组共同的基因变异影响。
Obesity, years of schooling, walking pace, you know, performance and IQ test, household wealth, all these crazy traits all seem to be governed to a substantial extent by a shared combination of genetic variants.
我们不妨想想,这可能意味着什么。
And let's just think about what this might mean.
在过去一百年里,冰岛的人群中,这种基因组合一直在被自然选择所淘汰。
So in Iceland, in the last hundred years, there's been selection against this combination of variants.
一种可能的解释是,这其实反映了两种养育子女策略之间的权衡:要么多生孩子但投入少,要么少生孩子但投入更多。
And one possible interpretation is it's basically selection for two ways of investing in your children, having many kids and not investing a lot in them or having few kids and investing more in them.
对吧?
Right?
所以如果你选择晚生孩子,先积累更多财富和资源,然后把更多精力投入到每个孩子身上,你的生育率就会更低,孩子也会更少。
So if you invest in deferring deferring having kids but becoming you know, having more wealth, having more resources, and putting more into each kid, you're gonna have a lower fertility and you're gonna have fewer kids.
这样生育率虽然低了,但这些孩子更有可能健康成长,在社会上表现得更好。
And that's gonna result in lower fertility, but those kids might survive more and do better in society.
另一种做法就是尽可能多生孩子,但对每个孩子的投入相对少一些。
Alternatively, you can just have as many kids as you can and invest less in them.
虽然每个孩子的前景可能没那么好,但在资源丰富的环境下——比如二十世纪的冰岛——多生孩子、少投入反而更合理。
They might have individually less good outcomes, but in a time of plenty, which is potentially Iceland in this twentieth century, it might make sense to have more kids and invest less in them.
所以这里其实有个权衡:要么多生孩子、少投入,要么少生孩子、多投入,让孩子在各方面更出色,诸如此类。
And so there's a toggle between having more kids and investing less in them and having more kids and investing in less in one's life, and having fewer kids and investing more in excelling in various ways or something like this.
你可以想象,在不同时期、不同生态环境下,资源的分配方式其实各有不同。
And so you can imagine that actually at different times and in different places in in ecology, there's resource there's different ways.
比如哺乳动物通常怀孕时间长,生的孩子少,但投入很多;而鱼类一次产下成千上万的卵,大部分都会被吃掉,但在某些环境下,这反而是繁衍后代的有效策略。
Like, mammals often invest a lot in with a pregnancy and a small number of children, whereas fish will spawn huge numbers of offspring into, you know, the the the river, the great majority of whom will be eaten, but that is an effective way to produce offspring in certain conditions.
所以,根据环境条件的不同,我们会在这两种策略之间来回切换:要么生很多孩子但投入少,要么生得少但投入多。也许我们看到的,正是这种模式在不同时间和地点的反复变化。
So there'll be a toggle depending on the environmental conditions back and forth between investing in large numbers of offspring with fewer and less investment or smaller numbers of offspring with more investment, and maybe we're just seeing that move back and forth over different places and times.
同样的问题也适用于精神分裂症和双相情感障碍——这些病怎么可能会有优势呢?
Similarly, for schizophrenia and bipolar disease, how could this ever be advantageous?
但也许我们看到的这些疾病,其实是某种特质谱系的体现,而这些特质在某些情境下反而是有好处的。
But maybe what we're seeing with these diseases is a kind of readout of some kind of spectrum of traits that actually in some context might be advantageous.
比如,焦虑、富有想象力或者神经质,这些特质在萨满或重视幻觉与创造力的宗教传统里,可能反而是种优势。
Maybe being anxious or being imaginative or being neurotic might be helpful in a shamanistic tradition, you know, in a religious tradition which values people who can have visions, or values people who can be creative.
也许这些只是精神分裂症或双相障碍的亚临床表现,在某些时代有利,在另一些时代却有害。
And maybe these are subclinical versions of schizophrenia or bipolar disease that in certain times may be advantageous and in other times may be disadvantageous.
也许我们看到的,只是不同类型的创造力或思维方式在不同环境中的选择差异。
Maybe you're just seeing selection from different types of creativity or other thinking that can be valuable in different contexts.
我这话说得有点笼统,但我的感觉是,这些复杂特质之所以没有朝单一方向演化,是因为谱系的两端都有优势,这些特质的影响是多维度的。
I'm waving my hands here, but my sense is that these complex traits have not pushed in one direction because there's advantage there are spectrums where there's advantages to both ends of the spectrum, and there's multidimensional, you know, impacts of these different traits.
朱利安·詹姆斯有个关于意识起源的著名理论,叫‘二分心智’,我这解释得不太准确。
Julian James has this famous theory in the origins of consciousness in the bicameral mind that I'm butchering this.
但依我理解,早在荷马之前,所有人都可以说是患有精神分裂的,因为他们真真切切地相信神明是真实存在、可以与之对话的人。
But fundamentally, the way I understand it is that up until Homer, basically, everybody was schizophrenic in the sense that people people genuinely thought that gods or whatever were real people that you're communicating with.
他的观点是,古代文献里的人确实表现出这种行为。
And his claim is that ancient texts seem to show people behaving in this way.
或者说
Or
你被要求去相信那些幻象。
You're being asked to believe in visions.
是的。
Yeah.
没错。
Exactly.
你知道的,
You know?
即使在今天,我觉得在一些宗教群体里,依然很看重与上帝沟通、看见异象、经历超自然体验这些事。
And even today, I think, you know, there's valuation in some religious communities and, you know, communicating with God and having visions and having supernatural communions.
是的。
Yeah.
所以我也不确定。
And so, I just don't know.
是的。
Yeah.
但我觉得特别有意思的是,去思考为什么某些特质并不总是有利的。
But I think it's super interesting to imagine to to to ask the question why certain traits are not always advantageous.
对于精神分裂症和双相情感障碍来说,大多数基因突变确实是有害的。
For schizophrenia and bipolar disease, there is a sense in which most of the mutations are disadvantageous.
从变异模式就能看出来,那些风险因素的变异通常频率很低,而且影响也都很小。
We can see that from the patterns of variation where the variants that are risk factors tend to be low frequency, and they tend to be small effects.
另一个受到自然选择影响的特征是,人体脂肪含量在下降,没错。
So another trait you find under selection is, the trend away from body fat Yes.
从农业革命以来就是这样。
Since the agricultural revolution.
为什么会这样?
Why is that?
你看到的是,导致肥胖和体重指数风险的基因突变组合在减少。
So this is, what you see is a reduction in the combination of genetic mutations that make you at risk for obesity, body mass index.
同样地,这和体脂率更高、腰臀比更高、二型糖尿病风险更高也高度相关。
And similarly and very correlated to it, higher fat mass, higher waist to hip ratio, higher type two diabetes risk.
在过去一万年里,这一地区的人群中,这些特征的变异平均下降了一个标准差,大约减少了1万人的患病风险。
And so there is clear selection by about a standard deviation on the scale of modern variation for these traits reducing about 10,000 over the last ten thousand years, in this part of the world.
那这背后可能是什么原因呢?
So what can be going on there?
为什么以前没有对这种特征组合施加选择压力?
Why was there not selection for this combination of traits before?
有一个长期存在的理论,叫作‘节俭基因假说’。
There's a long standing idea known as the thrifty genes hypothesis.
这个理论认为,当狩猎采集人群进入农业社会、食物变得充足之后,就不像以前那样需要大量储存脂肪来应对饥荒了,因为食物供应变得更稳定了。
The idea is that, that once you have hunter gatherer populations that move into a farming environment where there's plentiful food, there is no longer a need, to the same extent to be able to build up body fat to sort of survive in times of stress because there's more constant stores of food.
因此,一旦进入农业社会和食物充裕的时期,身体脂肪就会受到自然选择的淘汰。
And so as a result, there will be no, there will be natural selection against body fat, which can be, once you move into an agricultural environment and to periods of food plenty.
所以你看到的可能是,过去一万年里,欧洲和中东的这群人逐渐进入了食物更稳定的时代,囤积脂肪的优势减弱了,这种特征组合因此被逐渐淘汰。
And so maybe what you're seeing is that this group of people in Europe and The Middle East over the last ten thousand years has moved into a a period of relatively more stable food where building up stores of fat are not as advantageous, and there's been selection against this combination of traits.
实际上,欧洲人在基因上对二型糖尿病的抵抗力比世界上一些其他人群更强,比如非裔美国人和美洲原住民,他们接触农业的时间可能没那么长。
Europeans actually are relatively better protected genetically against type two diabetes than some other populations around the world, like African Americans and native Americans that have perhaps not been as exposed to agriculture for as much time.
所以你看到的,可能是长期稳定食物供应带来的影响。
So you may be seeing the effect of more exposure to more stable food accessibility.
这还从另一个角度反驳了常见的说法。
This is also another way in which the data goes against a common story.
常见的说法是,狩猎采集者其实饮食更稳定,因为他们吃的种类更多样。
And the common story is that hunter gatherers actually had much more stable diets because they were more buried.
他们并不依赖某一种谷物或作物来获取热量。
And so they weren't reliant on a single cereal or a single crop for their calories.
如果一种猎物消失了,他们还能去找别的食物。
And if, you know, if one game went away, they had other things that they could scout for.
他们能更灵活地迁徙,因为不用被土地束缚。
They could move locations more easily because they weren't tied down to the land.
所以他们的食物供应其实更稳定。
And so they were more food stable.
但事实上,如果身体储存脂肪的倾向被自然选择淘汰了,那就说明农业社会的饥荒虽然频繁,但整体食物供应至少比狩猎采集者更稳定。
But in fact, if there's been selection against storage of body fat, that suggests that as, as unstable and as common as famines might have been in agricultural societies, it's at least more stable than what the hunter gatherers had.
我觉得这里有个时间尺度的问题。
I think there's a timescale issue.
你说得对。
You're absolutely right.
依我理解,我不是人类学家,
So I think, as I understand, and I'm no anthropologist.
没错。
No.
但我知道,在一些传统狩猎社群里,人们一旦捕到猎物,往往会大吃一顿,迅速囤积脂肪,然后连续好几天不吃肉,直到下一次狩猎开始。
But my understanding is that when there's a hunt in some of these, in in in traditional societies or communities that hunt, people will often gorge themselves and eat a huge amount and build up a sort of temporary store of fat and then go with multiple days without eating meat sometimes until the next hunt.
所以,狩猎采集者会经历营养供应的大幅波动,而农耕社会就没这么明显。
And so there is this sort of boom bust, access to high value nutrition, that is not true to the same extent in farming communities.
另一方面,这些长期饥荒在农业社会中更常见,但发生频率和节奏跟狩猎的周期完全不同。
On the flip side of this, these long these famines are, I think, something that occurs more commonly in agricultural societies, but the timescale and the tempo of them is very different from the hunting tempo.
也许每三年就会遭遇一次饥荒。
So maybe there's a famine every three years.
事实上,如果你查看一些农耕族群的骨骼,会发现更多压力痕迹,可能就是因为每三年或每五年就来一次饥荒。
And indeed, if you look at the bones of farmers, at least in some communities, there's more stress in them, maybe due to a famine every three years or a famine every five years.
但自然选择未必会针对这三年的周期起作用。
But selection might not be acting on that three year time period.
你上次打猎后储存的脂肪,根本撑不到三年后下一次饥荒。
Your fat store, from, you know, the latest hunt is not gonna carry you through to the famine three years later.
所以,熬过饥荒和为几周后的食物短缺囤脂肪,完全是两回事。
And so survival of famines is a different thing than building up body fat for, being able to, survive two weeks later.
我有个突然想到的问题,你刚才提到过‘看’……
A kind of random question I have is if you were mentioning look.
相比之下,其他那些对生存和自然环境更重要的因素——比如免疫系统,尤其是青铜时代以后——它们的影响远超过智力。
As compared to these other things, which matter much more for fitness and these natural environment, the immune system, especially after the Bronze Age, all these other things have mattered more than intelligence.
所以这些因素承受的选择压力远大于智力。
And so they've been under much more selective pressure than intelligence.
没错。
Right.
这让人不禁想,智力的上限是不是还有很大的提升空间?
That makes you wonder whether there's much more room at the top for intelligence.
也就是说,如果人类在进化过程中更侧重于智力,我们本可以变得更聪明。
As in if humans had been selected, especially for intelligence, they could have been much smarter.
这一点之所以重要,是因为我们现在正在开发人工智能,目标就是尽可能提升它的智能水平。
And the reason that's relevant is we're currently building AI systems, which are trying to make it as smart as possible.
事实上,训练过程的唯一目标就是智能。
And in fact, the only goal of the training process is intelligence.
我们不需要同时担心如何增强它们的免疫系统,而且
We don't have to worry about also at the same time making their immune systems powerful And
我们有充足的精力去投入这件事。
We have lots of energy to spend on it.
对吧?
Right?
同时还要确保它们不会患上精神分裂症。
And at the same time making sure they're not schizophrenic.
我想我们确实得考虑这个问题。
I guess we kinda have to worry about that.
但如果在过去十万、二十万甚至一百万年里,智力并不是人类演化中的主导特征。
But, if intelligence has not been the dominant trait under selection for humans over the last ten, twenty, hundred thousand years.
那是不是意味着,智力还有很大的提升空间?
Does that mean that there's more room at the top for this trait?
我觉得这些特征中,很多都有很大的提升空间。
I think there's more room at the top for a lot of these traits.
是的。
Yeah.
我觉得身高这种特征,完全可以比现在极端得多,往一个方向大幅改变。
I think that you can move height very extremely in one direction much more than it is today.
其他这些特征也一样,都能被推得比现在极端得多。
You can move any of these traits very much more extreme in the other traits.
这么做很可能带来很严重的负面后果。
There's probably very strong negatives to doing that.
你很可能得牺牲掉其他一些东西。
You're probably sacrificing other things.
我觉得这里面肯定存在权衡。
And I think that there's trade offs probably.
但我觉得,如果自然选择真的把其中任何一个特征往更极端的方向推,平均值肯定会发生移动。
But, I think it's highly likely that if natural selection was pushed pushed any of these traits, in, more in one direction than it is, the mean would move.
所以,自从人类走出非洲以来,所有这些进化都是在调整当初那批人本来就有的基因变异——就是我们上次聊到的,大约一万人左右的群体,从非洲扩散出来。
So all of this, evolution since out of Africa is acting on alleles that already existed in the pool of human variants from that first group, which we were talking about last time on the order of 10,000 people that, you know, exploded out of, out of Africa.
你觉得奇怪吗?就那么一小群人,居然藏着如此丰富的潜在变异,能支撑起从认知模式、抗病能力到身高等各种特征的多样化演化?
And it's a is it surprising that across all these different traits from cognitive profiles to, resistance to different kinds of diseases to, height to whatever that that one pool of people contained so much latent variation that they could supply the, you know, enough, you know, stretchiness to accommodate all these different traits that you're studying now?
这是个很有深度的问题。
That's a rich question.
我认为,对于人类这种复杂性状,种群内的变异量非常巨大。
And I think that the human population has with complex traits, a tremendous amount of variation.
在人类群体中,影响身高的变异因素非常多。
So, within the human population, there's a huge amount of variation that affects height.
影响体重指数的变异也同样非常丰富。
There's a huge amount of variation that affects body mass index.
如果你把所有这些基因突变都调整到促进长高的版本,一个人会变得极其高大,简直像摩天大楼一样。
If you take all these mutations and all set them to the high height variant, a person will be extremely tall, like as tall as a tall building.
是的。
Yeah.
当然,这种情况实际上不可能发生。
You know, if you of course, which will never happen.
但如果你把所有影响精神分裂症风险的基因变异都朝同一个方向调整,那就会导致风险极高,或者几乎完全免疫。
But if you take all these variants that affect schizophrenia risk, they will and you point them all in the same direction, there will be extreme risk or extreme protection, for schizophrenia.
对于复杂性状来说,它们由许多突变共同影响,人群中早已存在足够的变异,足以让种群快速适应当前环境的最佳状态。
So for complex traits, one's underpinned by many mutations, all the variation already exists to move the population to a different adaptive set point that's optimal in the environment which it's in.
所以,如果一个种群被带到一个新环境中,几百甚至几千年之内,它就能迅速调整到新的适应点。
So if you push the in a population into a new environment within hundreds or thousands of years, the population can rapidly move to a new adaptive set point.
有些特殊性状,比如消化牛奶的能力,或者对镰状细胞贫血的抵抗力,需要一个非常关键的突变,而这个突变在人群中可能还不存在。
There are some unusual traits like ability to digest cow's milk or protection against sickle cell anemia that require a single very important mutation that may not yet exist in the population.
这时候,你只能等某个个体偶然发生这个突变。
And then you have to wait for the mutation to occur in some people.
当种群规模比较小,比如只有上万人的时候,你可能得等几十代甚至几百代,这个突变才会出现。
And when the populations are relatively small, only 10,000 people, you might have to wait dozens or hundreds of generations for that mutation to arise.
但当种群规模足够大时,突变就不再受限了。
But when the populations are large, there's not mutation limiting anymore.
所有可能发生的突变,都会有人发生。
Every mutation that can occur does occur.
世界上有八十亿人。
There's 8,000,000,000 people in the world.
每一代大约会产生三十个新的突变。
There are maybe 30 new mutations every generation.
所以这相当于什么呢?
So that's like, what is it?
每一代大约有两千四百亿个新的点突变。
It's like two forty billion new point mutations every generation.
人类基因组只有三十亿个DNA碱基。
There's only 3,000,000,000 DNA bases in the genome.
所以每个可能的突变,每代都会发生大约一百次,我们再也不受突变数量的限制了。
So every mutation that can occur does occur about a 100 times every generation, and we're not mutation limited anymore.
所以不需要担心突变会不会再次出现。
And so it's not like you have to that the mutations can arise again.
它们确实会反复出现。
They do arise again.
但当人口只有不到一万人时,有时得等几十代甚至上百代,新的突变才会出现。
But when the population's only 10,000, you have to wait dozens or hundreds of generations sometimes for the new mutation to occur.
所以,青铜时代发生的变化,会不会只是因为人类人口规模足够大了?
And so how likely is it that the thing that changes with the Bronze Age is just that the human population was big enough?
在公元前3000年左右,全球人口大概有五千万人左右。
So you in 3,000 BC, you go to, I think, population of 50,000,000 ish people.
人口足够多,而且不同地区之间的基因交流也足够频繁,以至于那些选择压力不强、单靠进化原本很难显现的性状,终于能被自然选择捕捉到了。
The population is big enough that and the gene flow between different areas is high enough such that things which don't have an overwhelming selection coefficient, which aren't overwhelming if they were by evolution, are finally visible, visible to selection.
我觉得这不太可能是真的,但这个想法确实非常有意思。
I think that's not likely to be true, but it's extremely interesting thing to think about.
我觉得,只要人口规模达到百万级别,任何可能发生的突变,几代之内就会全部出现。
So I think already when population sizes are on the order of a million so or so, every mutation that can occur does occur within a few generations.
所以,就算只看欧洲的人口,也早在青铜时代之前就已经达到这个水平了,其他地区也差不多,或许刚好是青铜时代或农业革命初期才达到的。
And so that's well before the Bronze Age if you take the population even of a place like Europe, but also also of of of other places, or maybe it's the dawn of the Bronze Age or the farming period.
所以你提出的问题其实是:当人口规模还很小的时候,自然选择可能根本没法有效发挥作用。
So the the question you ask is maybe when the population is small, natural selection doesn't work effectively.
对。
Yeah.
人们通常认为,在小群体中,自然选择的效果会变差,这确实没错。
So a common thing that people think about with natural selection, and that is true, is that in small populations, selection doesn't work effectively.
因为在小群体里,突变的频率会因为随机性而在代际间大幅波动。
And that's because mutations bop around in frequency from generation to generation a lot in a small population just randomly.
比如一个一千人的群体,每代突变频率的波动幅度大约是千分之一。
So if you have a population of size 1,000, populations mutations will bop around by a frequency of one over a thousand every generation.
如果选择系数小于这个数值,它就会被遗传漂变带来的随机波动完全淹没。
And if the selection coefficient is less than that, it will be drowned in the random bopping around of frequencies due to genetic drift.
但这是针对一千人的群体而言的,1%的选择系数其实已经很强了。
But that is already for a population of 1000.1% selection coefficient is very weak.
我们说的是一百分之一的效果,这在进化上算是非常强的了。
We're talking about 1% effects, and that's much very strong.
即使在一千或一万人口的群体中,这种选择也能很好地发挥作用。
It will work very well even in a population of a size a thousand or 10,000.
如果某种突变只在大群体中才会开始上升,而在小群体中不会,那它的选择系数大概只有万分之一或十万分之一,这种突变要花上一万到十万代才能显著增加频率,也就是几十万年甚至上百万年。
If you are talking about mutations of the type that will start rising in some only in large populations but not small populations, those are selection coefficients that are on the scale of one over 10,000 or one over a 100,000, and those ones will take 10,000 or a 100,000 generations to rise in frequency, which is hundreds of thousands or millions of years.
所以在咱们讨论的这个时间尺度上,这根本起不了作用。
So that's not gonna do anything over the time scale we're talking about.
这纯粹是个时间长短的问题。
There's just a time scale issue.
我明白了。
I understand.
所以这项研究中,我们讨论的是百分之零点五及以上、可测量的较强选择系数,这些在小群体或大群体中都能起作用。
So we're talking about strong measurable selection coefficients on the order of half a percent or more in this study, and all of those are gonna work in small populations or large populations.
它不会受群体规模的影响。
It's not gonna be affected by the population size.
有意思。
Interesting.
但你的意思是,一般来说,只要群体规模达到某个阈值,决定性因素就是时间长短,而不是群体大小。
But you're saying more generally, once you hit a given threshold of population, the dominant factor is time span, not population size.
没错。
Correct.
明白了。
Okay.
挺有意思的。
Interesting.
确实非常有意思。
It's very interesting.
但这一点其实很多人并不了解。
And it's actually not widely understood.
是的。
Yeah.
好的。
Okay.
说到和以往假设相矛盾的数据,你之前发给我的那篇马利克2016年的论文发现,五万年前的现代人和古人类之间并没有固定的差异。
So speaking of data contradicting what you might have otherwise assumed, One of the papers you sent me beforehand, Malik 2016, found that there are not fixed differences between modern and archaic humans fifty thousand years ago.
而我们知道,这正是所谓的认知革命发生、现代性开始出现、人们开始创作艺术的时期。
And, of course, we know this is the period in which the so called cognitive revolution happened and modernity started and people are making art or whatever.
这是否意味着,现代人之所以成为现代人,并不是因为生物学上的变化,而是某种文化上的转变?
Does this suggest that nothing biological changed to make modern humans modern and some the thing that happened was some cultural change.
我们该怎么理解这些数据所传达的信息?
How how do we understand what this data tells us?
没错。
Right.
大约五万年前,或者更早一些,从十万年前到五万年前这段时间,文化的演变速度明显加快了。
Fifty thousand years ago or so or maybe hundred hundred thousand to fifty thousand years ago, there's a quickening of the pace of change in culture.
比如,人们开始大量创作具象艺术,制作串珠项链,在岩壁上绘画等等,同时工具的创新速度也迅速提升。
So people you see the first extensive rep representational art and like bead necklaces and drawings on the wall and so on and so forth, and also a rapid increasing pace of innovation, the types of tools that people use.
所以有人会想,是不是发生过某种基因上的‘开关’,也就是人群中出现了一次重要的基因突变,迅速扩散到几乎所有人身上,从而让人有能力做这些事——比如某些基因让人类具备了复杂的语言能力。
And so the thought might be that there was gonna be have been some kind of genetic switch, a kind of, important genetic change that, was occurred in the population and that swept to high frequency that everybody suddenly had, soon had, and that made it possible for do these thing to do these things, maybe some genes that allowed people to have rep complex language, representational language, for example.
2016年,我和同事们在这篇论文里做了一件事:我们在全基因组范围内寻找可能符合这种特征的区域,也就是今天几乎所有人类都共享的、可能源自十万到二十万年前的共同祖先的基因片段。
And so one thing that we did in 2016 in this paper by and colleagues, is we looked across the DNA for places that might be expected to look like this, that where all people living today or nearly all people living today share a common ancestor, maybe a 100,000 or 200,000 years ago.
我们仔细排查了所有能分析的DNA序列,但除了四五百个年代早于五十万年前的片段外,根本找不到任何更近期的共同祖先痕迹。
And we looked really hard and right across all the DNA we could look at, we couldn't find anything more than four or 500 more recent than four or 500,000 years ago.
这个结果简直让人震惊,因为看起来在这一时期,没有任何关键的自然选择事件影响了今天所有人类的共同祖先。
This is like a crazy result because, it looks like there's no key selective sweeps that have occurred in this period that is ancestral to everyone living today.
我们之前谈过欧洲人和东亚人之间没有明显的自然选择事件,但就连这一关键时期——物质文化大量涌现的时期——所有人类共有的祖先群体里,也找不到任何类似的自然选择痕迹。
We talked before about no selective sweeps between Europeans and East Asians, but there don't even seem to be any selective sweeps between like, shared between all humans in this really important period when a lot of, evidence in the material culture record appears.
所以,也许这一时期确实存在生物学上的适应,但它是多基因共同作用的结果。
And so it could be that there's biological adaptation in this period, but it's polygenic.
有大量基因突变同时朝同一个方向变化,帮助整个群体逐渐达到一个新的平衡点,但并没有某个关键的生物学变化在这一时期迅速普及开来。
There's lots of mutations that all shift in the same direction to help the population to move to a new set point, but there's no key biological change that rises to high frequency in this time.
那么,五万年前的这群人,是所有走出非洲的人的祖先,也包括一些非洲人吗?
And this group, fifty thousand years ago, they are the ancestors of everybody out of Africa or also some Africans?
这个时间点是在十万到五万年前。
So this is a 100 to 50,000 years ago.
这一群体是西非人、大部分东非人,以及所有非非洲人群的共同祖先。
And, this is the population that's ancestral to West Africans, to most East Africans, to all non Africans.
不过,非洲内部有少数群体,他们的基因中还保留了更多古老分支的血统。
And there's a couple of populations in Africa that have substantial ancestry that comes from more divergent groups.
比如,南非的科伊桑人,或者中非雨林地区的狩猎采集者,他们的基因里有相当一部分来自大约二十万年前就与其他人类分支分道扬镳的群体。
For example, Khoisan, from Southern Africa or Central African rainforest hunter gatherers have substantial fractions of their ancestry from groups that diverged maybe two hundred thousand years ago from the other lineages.
但今天这些群体的人照样能上大学,做别人能做的所有事情。
But all of these groups today are able to do go to college, do everything everybody else does.
所以,并没有证据表明,某些群体缺少了其他群体都有的关键基因突变。
And so there is, like, no evidence that there is any key mutation lacking in some groups that are not present in the others.
所以我们现在看到的不同人群之间的差异,尤其是考虑到五万到十万年前,那个群体的人口规模非常小。
So the the differences we see between different groups of people, especially if this group of people, 50 to a 100,000 people years ago, had a very small population size.
我记得上次我们聊过,大概就一万人左右。
I think last time we were discussing on the order of 10,000 people.
对。
Yeah.
也就是说,世界上所有人,或者几乎所有人今天所展现的多样性,其实都早已潜藏在那个小群体里了——这大概也是你想表达的意思:如果你把基因组里各种不同的变化叠加起来,累积效应会非常显著。
So basically, everybody in the world or almost everybody in the world or the variance we see between different humans today was latent in this group and which is it was sort of seems, and I guess your point to that, well, if you just stack up different different things across the genome, then stacking them up really has a big effect.
但有意思的是,如今世界上有这么多不同的族群,而所有这些多样性居然都源自一个极小的人口。
But that it's interesting that, like, have so many different groups in the world today and that all that diversity comes from a very small population.
我觉得在人类遗传学领域,很多人都认为,我们这个群体本身就蕴含了塑造几乎所有性状的潜力。
I think a lot of us in human genetics think that the, our population contains within it the clay that's needed to make almost any trait.
对。
Mhmm.
而根据不同的环境或选择压力,这些性状的平均值会朝不同方向变化。
And that depending on environmental conditions or selection conditions, the mean value of these traits will move in different directions.
这其实是个实证问题:过去不同人类群体经历了多少自然选择?
There's an empirical question, a real question about how much selection there's been, in different human populations over time.
我们参与的这项新研究显示,至少在过去一万八千年、一万年、五千年来,在这个地区,某些重要性状确实发生了显著变化。
One of the things this new work that we're involved in is doing is showing that at least in the last eighteen thousand years, ten thousand years, five thousand years in this part of the world, there actually has been significant movement, at least for a handful of important traits.
我们研究了五百多种性状。
We looked at more than 500 traits.
其中大约一百种复杂性状,在这段时间里呈现出系统性的明显变化。
About a 100 of them, complex traits showed significant movement in a systematic direction, over this time period.
所以看来,人类对所处环境的适应确实发生了,并且可能比以往任何时期都更强烈。
So it really does seem that there is a response, to the environments people are living in that has occurred over this period and is potentially stronger than in previous periods.
Crusoe 的机器学习基础设施团队特别厉害,总能想出巧妙的办法,把硬件性能压到极致。
Crusoe has an amazing ML infra team that keeps finding clever ways to squeeze more performance out of their hardware.
比如,分词现在成了智能工作负载的一大瓶颈。
For example, tokenization has become a real bottleneck for argentic workloads.
智能提示通常特别长。
Argentic prompts are often extremely long.
它们的 KV 缓存占用率很高,导致 GPU 的预填充任务被严重压缩。
They tend to have high kvcache rate rates, which shrinks the GPU's prefill work.
这样一来,传统上必须顺序执行的分词步骤,在生成第一个词之前的耗时占比就变得更大了。
This means that the tokenization step, which is traditionally sequential, is a much larger fraction of time to first token.
为了解决这个问题,Crusoe 开发了 FastTokens,一个开源的 Rust 分词器,通过并行处理来充分利用现代 CPU 的所有核心。
To solve this, Crusoe built FastTokens, an open source Rust based tokenizer which paralyzes things in order to take advantage of all the cores on modern CPUs.
Crusoe 在这里得动点脑筋,因为直接照搬常规方法根本行不通。
Crusoe had to get creative here because a naive approach doesn't work.
比如预分词阶段,你不能简单地把文本切成几段然后跑正则表达式,那样一旦单词正好被切在分界线上,就会出问题。
For example, for pre tokenization, you can't just split your text into chunks and run regex because you'd end up with issues whenever a word straddled the split.
Crusoe 的解决方案是给每个线程分配一个专属区域,并允许它读取自身边界外额外的一千字节。
Crusoe solved this by giving each thread an authority zone, plus the ability to read one kilobyte past its own edges.
这一千字节的缓冲区能确保不会误切词元,而专属区域则能避免重复处理。
This one kilobyte buffer guarantees that you won't misprocess a token, and the authority zone guarantees that you won't end up with duplicates.
完全不需要线程间的协调。
No cross thread coordination required.
Crusoe 把这个优化和其他几项巧妙的调整结合起来,让真实生产环境中的首词延迟提升了高达百分之四十。
Crusoe combined this optimization with a handful of other smart tweaks in order to get up to 40% faster time to first token on real production workloads.
想了解更多,请访问 crusoe.ai/thorcache。
To learn more, go to crusoe.ai/thorcache.
我们之前聊过,五万年前的人类和今天的人类在生理上并没有本质区别。
We were talking earlier how there's no fixed differences between humans fifty thousand years ago and humans today.
对。
Mhmm.
既然人类在基因上没有发生足以支撑符号表达、农业等重大变革的改变,我上次问过你这个问题,但结合现在的背景,为什么冰河时代之前没有出现农业?
So if there's no genetic basis for, the kind of thing that allowed humans to have more symbolic representation, have farming, etcetera, I I asked you this question last time we talked, but especially with this context, why no farming before the Ice Age?
从基因上讲,我们早就具备了。
Genetically, we're there.
这个问题真有意思。
Such an interesting question.
没错。
Right.
从基因上讲,我们早就具备了。
Genetically, we're there.
五万年前,人类的共同祖先已经具备了农业所需的一切条件。
The common ancestral population has all of the ingredients for farming fifty thousand years ago.
这些人当时已经分散到世界各地——美洲大约一万五千年前,新几内亚四万年前,东亚、欧洲、西非,也都到了。
And, you know, these people are distributed into different parts of the world, The Americas, you know, fifteen thousand years ago or whatever it is, you know, New Guinea, forty thousand years ago, East Asia, you know, Europe, you know, West Africa.
可直到一万两千年前,农业才开始出现。
No farming develops, before, you know, twelve or eleven thousand years ago.
农业只在最近这一万两千年,也就是全新世——冰河时代结束后的时期——才真正发展起来。
It only develops in the last, you know, 12,000, the period known as the Holocene, which is sort of the end of the ice age.
如果你去问气候科学家和考古学家,我每次遇到这方面的专家都会问这个问题。
And if you talk to climate scientists, and archaeologists, you know, I keep asking people this question every time I meet someone who's an expert in this.
你怎么解释,为什么农业会在这么多地方同时出现?
It's like, how can this be that farming develops in all these places?
我们真的生活在一个如此特殊的时代吗?
Are we really living in such an unusual time?
人们告诉我,确实如此,在两百万年的尺度上,我们正处在一个极其不寻常的时期。
And people tell me, indeed, we're living in an un very unusual time on a scale of two million years.
大约一万两千年前,我们进入了这样一个时期——不仅温暖,而且气候极其稳定。
That is twelve thousand years ago, we switched into this period of not just warmth, but climate stability.
这听起来确实有点难以置信,但我们正生活在一个如此特别的时代。
That and that actually this is true and sort of hard to believe that we're living in special such a special time.
但如果你看看湖底沉积物的数据,通过同位素信号来测量温度波动,会发现我们这个年代的年际、十年际、百年际温度变化都小得多,我们恰好生活在一个相对稳定的时期,这简直是个奇迹。
But if you look at, for example, data from bottoms of ponds where you can measure the fluctuations of temperatures using isotopic signatures, apparently, we're in a period where it's just fluctuating a lot less year to year and see and ten years to ten years and hundred years to hundred years, and it's just a period of relative stability that we are miraculously living in.
而当这种相对稳定期到来时,多个群体不约而同地转向了农业,尽管他们的基因基础早在五万、十万、二十万甚至三十万年前就已经定型了。
And that when this period of relatively stability happens, you somehow it follows that multiple groups independently turn to agriculture even though the genetic complement, you know, all of whom have the same genetic complement that arises 50,000, a 100,000, 200,000, 300,000 years ago.
这个说法挺疯狂的,可大家居然都接受了,简直难以置信。
It's kind of a crazy observation that people just accept, but it's, like, unbelievable.
哦,所以你把时间范围扩大了。
Oh, so you you you increased the range there.
你刚才说的是十万年、二十万年、三十万年前。
So you said, 100,000, 200,000, 300,000 years ago.
根据现代人和三十万年前人类之间的基因差异,你认为早在三十万年前,人类就已经和现代人差不多了?
And we based on the genetic differences between modern, modern people and people from even 300,000 years ago, you think basically there's they're modern 300,000
三十万年前?
years ago?
我不确定。
I don't know.
我现在一直在想这个问题。
Like, I'm thinking about this all the time right now.
这正是我目前正在认真思考的事情。
This is actually, like, actively what I'm thinking about right now.
大约在三十万到四十万年前,人类文化发生了一次巨大转变,出现了新型技术,比如从石核上打制石器。
And, like, you know, there's a big transformation in terms of the culture of humans 300, 400,000 ago, this invention of level, technology, the ability to make stone tools out of cores.
对。
Yeah.
这被称为中石器时代革命,或者中旧石器时代革命,具体叫法要看是在非洲还是欧亚大陆。
The Middle Stone Age revolution or the Middle Paleolithic revolution, depending on whether what you call it in Africa or Eurasia.
这是一种全新的石器制作方式,尼安德特人和现代人都会,但在东亚和南亚却看不到。
And this is a revolution, a new way of making stone tools that's shared by Neanderthals and by modern humans, but is not shared in East Or South Asia.
这是一次重大变革,背后很可能伴随着认知能力的提升,才能制造出这样的工具。
And it's a big change, and it it involves a cognitive change presumably in order to make this sort of technology.
后来,大约在十万到五万年前,又出现了另一次转变,进入上旧石器时代或晚石器时代,工具制作方式再次更新,但没前一次那么剧烈。
And then there's a further change to the upper paleolithic later stone age, maybe, a 100 to 50,000 years ago, when there's the second transition where the new type of tool making, but not as revolutionary as the earlier one.
至于认知能力的飞跃究竟发生在什么时候,现在还不清楚。
So when the cognitive leap happens is unclear.
今天人类各族群的分化,比如南非的科伊桑人、热带雨林的狩猎采集者,这些谱系的分裂时间更接近三十万或二十万年前。
The diversification of the lineages leading to people living today, like Khoisan Southern Africas and rainforest hunter gatherers, and that all occurs more on the timescale of 300,000 or 200,000.
这些人都有能力上大学
And all of these people are capable of, you know, going to college
而且
and
做任何事情。
doing everything.
所以,很难说在二三十万年前,人类的工具、认知能力、行为模式和遗传天赋就还没完全具备,连尼安德特人其实都已经拥有了这些。
And so, you know, it's not obvious that all the toolkit, the cognitive toolkit, the behavioral toolkit, the genetic abilities were not all in place two or three hundred thousand years ago and that even Neanderthals had them.
对吧?
Right?
所以,这件事其实并没有表面上看起来那么确定。
So it's not obvious that this was not the case.
是的。
Yeah.
所以,我真的说不准。
And so, like, I just don't know.
你把这些人群分散到世界各地,而这种分化发生在二十万到三十万年前。
You sort of distribute these people to send it from this diversification that happens 200, 300,000 ago to different parts of the world.
然后,突然之间,就在一万两千年前,农业在不同地方接连出现。
And then, bing, you know, after twelve thousand years ago, you start having agriculture popping up in different places.
这真是个令人费解的谜团,对吧。
It's kind of an outstanding mystery Right.
在人类历史上。
Of human history.
我觉得难以置信,我们竟然生活在一个气候上极其特殊的时期,放眼两百万年都找不出第二个。
And, you know, I I find it unbelievable that we live in a play in a time period that climatologically is so unique on a scale of two million years.
但我的同事们说,这确实是事实。
But my colleagues tell me it's true.
农业在这么多不同环境中独立出现,气候因素看起来确实有点让人意外。
The climate thing seems surprising given there are so many different environments in which agriculture was independently developed.
我现在明白了,尽管环境各异,但整体的气候波动可能反而减小了。
Now I understand that across environments, the variance could have gone down.
但如果这事只在某个地方、某个时间发生过,我倒还能接受这种解释。
But just like if if it only had happened in one place at one time, I I could have bought that explanation.
可问题是,新大陆的人在种玉米,旧大陆的人在搞小麦,而且是在完全不同的环境里,这就太让人意外了。
But the fact that they're making maze in the new world and they've got, you know, serials in the old world and so forth and just in a very different environments makes it surprising that
这确实非常不可思议。
it was very, very surprising.
我们虽然接受了这个事实,但说真的,这简直是个荒谬的观察。
And I think we accept it, but it's just, like, a crazy observation
对。
Right.
大多数人都没意识到这一点。
That most normal people don't realize.
是的。
Yeah.
大家普遍认同的是,世界上几乎所有人的共同祖先,除了雨林里的狩猎采集者和科伊桑人,大约生活在七万年前。而且所有人都承认,这些人当时已经具备了推动农业革命和建立国家社会所需的所有认知、行为和智力条件。
You know, the thing that basically everybody accepts is that the common ancestral population of almost everybody in the world, except for rainforest hunter gatherers and Khoisan is like around 70,000 years And everybody accepts that these people all have in place the cognitive behavioral intellectual ingredients that are necessary for the farming revolution and state building state societies.
因为当这些人的后代分布到西非、东非、美洲、欧洲、南亚、东亚、新几内亚等地时,他们的后裔全都做了同样的事。
Because when these descendants of these people get distributed to West Africa, to East Africa, to The Americas, to Europe, to South Asia, to East Asia, to New Guinea and so on, their descendants all do this.
对。
Yeah.
在世界这些不同的地方,几乎是各自独立、半独立、完全独立,甚至明显完全独立地发生的。
Like independently or semi independently or completely independently or demonstrably completely independently in all these different parts of the world.
所以,完成这件事所需的认知能力,早就已经具备了,只是延迟了很久。
So the cognitive resources for doing this must have all been in place, but it's a very long fuse.
就像在祖先群体分裂之后,过了四万年、六万年,甚至更久,在各地才突然爆发,发展出农业和其他各种文明。
Like it delays for forty thousand years for 70, you know, sixty thousand years in all these different places after the common ancestral population splits up and then, you know, ignites into, like, agriculture and all these other things after that point.
这说法听起来有点疯狂。
It's kind of a crazy claim.
你明白吗?
Know?
你甚至还可以争论,这个延迟可能长达三十万年——从尼安德特人分化开始,或者从现代人类不同谱系分离时算起,这同样说得通。
And then you could argue about whether the actual fuse is three hundred thousand years, you know, from when Neanderthals separate and from when different lineages of extant modern humans separate, and that's also plausible.
所以我们被要求相信的这一系列事情,确实有点离谱。
So it's kind of a crazy sort of set of things that we're being asked to believe.
会不会是农业早就存在了,只是还没出现冶金技术,那种让人口在公元前5000年青铜时代开始暴增的条件?
Is it possible that agriculture existed, but you didn't have modern metallurgy or whatever it was that allowed populations to explode starting in 5,000 BC with the Bronze Age.
因为从人口角度看,公元前10000年到5000年的新石器时代早期,其实没什么大动静。
Because, like, population wise, it doesn't seem like, you know, 10,000 BC to 5,000 BC in the early Neolithic, much is happening.
也许他们确实种地了,但没用上铜。
It's just possible that they had farming, but they didn't have copper.
他们也没有锡——而锡得从中东弄来,才能大规模发展出能用青铜的文明。
They didn't have tin, which you needed to go to, I guess, the Middle East for to develop a civilization that could make use of bronze at a large scale.
所以他们就从历史记录里消失了?
And so they just disappeared from the historical record?
我觉得我们该能发现他们的考古遗迹才对。
I I think we would see their archaeology.
还有美洲那些惊人的发展,全都是在石器时代完成的。
And, like, you know, the extraordinary developments in The Americas, which are entirely Stone Age.
如果他们真的完全消失了,今天我们也应该能看到他们的痕迹。
You you would see them today if if they had gone completely vanished.
对啊。
Oh, yeah.
我的意思是,你想想,咱们真该去一趟墨西哥的特奥蒂瓦坎。
I mean, there's, like you know, you you know, we we should go for a trip to Teotihuacan in Mexico.
对啊。
Oh, yeah.
那是当然。
Course.
那地方真的特别震撼。
Of It's, like, like, so impressive.
我二十岁那年去的时候,就觉得它跟古埃及一样令人惊叹。
Like, you know, when I went there when I was 20, you know, it's just like it's totally as impressive as as ancient Egypt.
是的。
Yeah.
你知道,这规模大得惊人。
You know, it's, like, huge.
简直庞大到没边了。
It's massive.
而且完全没用金属。
It's without metal.
更让人惊叹的是,不仅没用金属,连动物和轮子都没用,这太不可思议了。
And it's, it's even more impressive because it's not only without metal, but it's without animals and without wheels, which is crazy.
这种奇迹简直让人无话可说。
Like, the the the the Marvel is just, like Right.
这么大东西,居然没用轮子就搬动了。
Hauled without wheels.
没错。
Right.
要是让那些自以为老世界更优越的人去这些地方看看,他们的这种想法就彻底没了。
Like, take any person who has, like, an old world superiority and, like, take them to these places, and they will not have it anymore.
这些地方的东西真是非同寻常。
It's just extraordinary what's in these places.
这些人群早在两万年前就与东亚人的祖先分道扬镳,四万年前就与西欧亚人的祖先分开了。
And these are people who separated 20,000 ago, at least, from the ancestors of East Asians and forty thousand years ago from the ancestors of West Eurasians
对。
Mhmm.
从那以后,他们的生物和文化工具箱其实一直没变,但这一切的发展却迟迟没有发生,中间隔了这么久。
And, you know, just had the same biological, you know, cultural shared toolkit from then, but there's just a a fuse, a long fuse delay until all this stuff happens.
真有意思。
Interesting.
这事儿太神奇了,可我们却从不追问为什么。
It's kind of like an amazing thing, and we don't question it.
你现在正在研究,或者想研究哪些关于人类历史的大问题?
What are other questions you have that, peep yeah.
你目前在探索哪些类似的人类历史宏观问题?
You're you're either are investigating right now or want to investigate these kinds of big picture questions of human history?
我觉得吧,我真的挺困惑的。
I think that I'm I mean, I'm I'm perplexed.
我不确定我们之前有没有聊过,但我一直对古人类和现代人类之间的关系感到非常迷茫。
I don't know if we talked about it before, but, like, I remain very, very confused about the relationships between archaic and modern humans.
我们现在已经有来自欧洲、西欧亚和中欧亚地区古人类的基因组序列了,比如尼安德特人。
We have genome sequences now from archaic humans who lived in Europe and the West Eurasia and Central Eurasia, the Neanderthals.
我们还获得了丹尼索瓦人的古基因序列——自从上次聊天后,我们终于有了他们的骨骼样本。
We have archaic sequences from these enigmatic Denisovans who we now have, a skeleton for, since we last talked.
现在已经有证据表明,一具头骨确实属于丹尼索瓦人。
There's now a skull from a Denisovan that's been shown to be a Denisovan.
同时,我们也掌握了大量现代人的基因数据。
And we have data from lots of modern humans.
但这些群体之间的关系,依然存在很多重大谜团。
And there's really big mysteries about the relationships amongst these groups.
从基因上看,丹尼索瓦人和尼安德特人其实是近亲。
So genetically the Denisovans and the, Neanderthals are sisters.
他们源自一个大约五十万到六十万年前的共同祖先群体。
They descend from a common ancestral population five or 600,000 years ago.
而这个群体,又是在更早的七八十万年前,从现代人类的共同祖先中分化出来的。
And that group's descends a couple 100,000 years before, seven or 800,000 years ago from the common ancestors of modern humans.
所以从全基因组数据来看,尼安德特人和丹尼索瓦人都是来自同一个远古祖先群体的古人类。
And so genetically, the whole genome data says that Neanderthals and Denisovans are archaic humans from a common ancestral archaic population.
但尼安德特人和现代人类之间有很多共同点,这些却没在东亚人群中出现。
But there are so many things shared between Neanderthals and modern humans that don't seem to be shared between with East Asians.
他们都使用中石器时代的石器技术,也就是一种独特的石器制作方式,而这种技术在东亚从未出现过。
They both share, Middle Stone Age tone stone tools, level one technology, this cognitively unique type of way of making stone tools that wasn't used in East Asia.
他们的线粒体DNA和Y染色体序列也完全相同。
They both have the same mitochondrial DNA and Y chromosome sequence.
尼安德特人的Y染色体和线粒体DNA,其实是来自现代人类的基因,是通过杂交传入的。
So the Y chromosome sequence of Neanderthals, the mitochondrial DNA of Neanderthals is actually modern human that came through interbreeding Mhmm.
大概二三十万年前传入,后来迅速扩散到几乎全部人群。
Two or three hundred thousand years ago and then shot up to a 100% frequency.
尼安德特人和现代人类都是大约二十万到三十万年前古人类与现代人类混合的产物,这一点在古代和现代DNA的变异模式中已经得到了明确证实。
And then Neanderthals and modern humans are both the product of mixture events that happened between archaic and modern humans three hundred or two hundred thousand years ago, demonstrably through patterns of variation in ancient and modern DNA.
所以,尼安德特人和现代人类之间似乎共享着一些丹尼索瓦人没有的东西,尽管全基因组数据表明丹尼索瓦人和尼安德特人关系更近。
And so it feels that there's something shared between Neanderthals and modern humans that's not shared with Denisovans even though the vote of the whole genome says that Denisovans and Neanderthals are related.
这就让人不禁怀疑,是不是有什么因素把尼安德特人和现代人类更紧密地连在一起,而和丹尼索瓦人不同,尽管从全基因组来看,丹尼索瓦人和尼安德特人确实聚在一起。
So one wonders whether there's something connecting kind of, Neanderthals and modern humans that's different from Denisovans even though genome wide Denisovans and Neanderthals cluster.
所以我现在一直在想这个问题。
So I'm thinking about that all the time now.
那这种联系会不会是由于我们没注意到的交配事件,或者他们曾经生活在同一片区域?
And then connecting them would be interbreeding events or being in the same place at the same time that we missed?
确实存在过交配事件,是的。
There's a known interbreeding event Yeah.
是从现代人类的祖先谱系流向尼安德特人的,但比例据说只有百分之五左右。
From the lineage leading to, modern humans into Neanderthals, but it's supposed to be only 5%.
对。
Yeah.
所以我对这5%很感兴趣,它其实暗示了更深远的影响。
So I'm interested in that that that 5% is actually a sign of something much more impactful.
这意味着,某种程度上,尼安德特人在某些方面其实非常‘现代’。
That is that somehow Neanderthals are in some sense deeply modern in some ways.
尽管他们被大量古老基因淹没,但他们对现代人类的影响可能比我们想象的要大得多。他们和现代人类共同拥有的中石器时代和中旧石器时代变革,本质上可能比我们以为的更贴近他们的核心身份。
And even though they get swamped by archaic genes, that somehow they actually have more of a modern impact than one would think and that the Middle Stone Age and, you know, Middle Paleolithic revolution that they share with modern humans is actually more fundamentally a part of who they are in some sense than we think.
有意思。
Interesting.
抱歉。
I sorry.
这个混血事件发生在什么时候?
When was this interbreeding event?
距今30万到20万年前。
300,000 to 200,000 ago.
所以,尼安德特人与今天大多数人类的共同祖先,可能比所有现代人类之间的共同祖先还要更近一些。
And so the common ancestor between Neanderthals and most humans alive today is potentially more recent than the common ancestor between all humans alive today.
当然了。
Oh, for sure.
对。
Yeah.
这太不可思议了。
Which is crazy.
没错。
Yeah.
其实,人类与包括丹尼索瓦人在内的所有古老人类的分化,都在现代人类的变异范围之内。
Well, you not not divergence to all the archaic humans, including Dinesovans, is within human variation.
明白了。
Okay.
等等。
So but Wait.
什么?
What?
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