我们仍在进化:古DNA揭示的人类近期选择狂潮
传统观点认为,自农业革命以来,人类进化几乎陷入停滞。但通过对古代DNA进行前所未有的纵向时序分析,科学家发现了数百个在过去一万年中经历强选择的基因位点,选择强度是之前认知的二十倍。这不仅重写了人类进化史教科书,更对基于现代基因数据的疾病研究、药物研发乃至胚胎选择等前沿科技,敲响了深刻的警钟:我们今天看到的基因“优劣”,可能只是漫长环境变迁中的一个短暂瞬间。
核心观点:一项发表于《自然》杂志的最新研究以压倒性的证据表明,强自然选择在过去一万年的人类历史中并非罕见例外,而是普遍且剧烈的常态,这彻底颠覆了学界旧有共识,并迫使我们必须以动态、环境依赖的视角重新审视自身的遗传命运与科技干预的长期风险。
在主流的人类进化叙事中,存在一个长期流行的“停滞论”:大约一万年前农业兴起后,人类文明飞速发展,但生物意义上的进化却显著放缓,甚至近乎暂停。除了乳糖耐受等少数几个明星案例,强有力的自然选择在近期人类历史中被认为是罕见的。我们似乎相信,文化和技术进步为我们构筑了一个缓冲带,使得“物竞天择,适者生存”的法则在现代社会不再那么严酷。然而,一项刚刚发表在顶级期刊《自然》上的研究,用海量的古DNA数据和革命性的分析方法,将这种安逸的想象击得粉碎。研究揭示,在过去一万年里,强自然选择并非偶然的涟漪,而是持续汹涌的浪潮,其普遍性和强度远超任何人之前的想象。这不仅仅是一个科学发现,更是一面重新审视我们是谁、我们从何而来、又将向何处去的镜子。
这项研究的突破性,首先在于方法论的革新。过去利用古DNA寻找选择证据的研究,大多采用“横截面”方法:比较不同人群之间的基因频率差异,看其是否超出了由遗传漂变和迁移所能解释的范围。这种方法就像在不同国家的街头同时拍一张照片,然后比较人们的穿着差异,但无法知道这些差异是何时、以多快的速度形成的。其结果往往是,观察到的差异大多被归因于人群结构分化,而非选择。而新研究采用了“纵向”视角,将时间作为一个明确的变量纳入分析模型。这相当于为每个古代个体标注了精确的生活年代,从而能够追踪特定基因变异在时间轴上的频率变化轨迹。正是这一关键转变,将检测选择信号的统计效力提升了惊人的20倍。
分析结果令人震撼:研究人员发现了数百个在过去一万年中显示出强烈选择信号的基因位点,中位选择系数约为0.86%。在进化生物学中,这是一个相当大的数字,意味着每代人的基因频率会朝着某个方向系统性变化约1%。相比之下,之前最好的研究最多只发现了20个这样的位点。从20到数百,这不是量变,而是对近期人类进化图景的彻底重构。它告诉我们,我们的祖先在驯化动植物、应对密集社群带来的新疾病、适应多样化的饮食和气候的过程中,他们的基因组经历了持续而剧烈的“编辑”。进化并未暂停,它只是换了一种我们之前看不见的方式在高速进行。
更引人深思的是选择的作用模式。研究发现,许多强烈的选择并非作用于全新的突变(传统模型:新突变出现 -> 被选择 -> 频率上升),而是作用于早已存在于种群中的古老遗传变异。环境压力(如特定病原体的流行)会“青睐”某些已有变异,推动其频率上升;而当压力消退或变异的副作用(如自身免疫风险)代价凸显时,选择方向又会逆转,导致这些变异被“清除”。一个典型例子是TYK2基因的一个变异:它在数千年间因为能有效抵御结核病而被正向选择;随着结核病流行程度下降,其增加自身免疫疾病风险的代价成为主导,该变异又被负向选择。这种“环境依赖的选择反转”现象,是理解人类进化动态性的关键。它表明,一个基因变异的“好”与“坏”并非永恒属性,而是与特定时空下的环境压力紧密挂钩。
这一发现对当今前沿的生物医学和科技应用投下了长长的阴影。首先,它直接挑战了基于全基因组关联研究(GWAS)的简单化解读。GWAS在现代工业化社会人群中寻找基因与性状的关联,但研究揭示,许多在今天看来与疾病或性状相关的基因变异,其频率变化是历史上特定环境选择的结果。用今天相对单一环境下的“快照”,去推断这些变异在漫长进化史中的“适应值”,是极其危险的。当我们利用人类遗传学来寻找药物靶点时,必须高度警惕:一个在今天人群中显示出保护作用的变异,其“益处”可能高度依赖于已不复存在的历史环境,而在现代环境下,它可能潜藏着未被察觉的风险。
其次,也是更具伦理紧迫性的,是对胚胎选择(基于多基因评分筛选胚胎)的警示。这项技术允许父母根据当前科学对基因与性状(如身高、认知能力、疾病风险)的理解,选择“理想”的胚胎。然而,古DNA记录清晰地告诉我们,选择的成本效益格局会随着时间翻转。父母基于当下环境和社会价值观做出的“优化”选择,相当于将一组静态的、针对已消失或可能改变的环境压力而设计的基因组合,强行植入后代,并让他们携带这些无法逆转的遗传改变,去面对一个完全不可预测的未来环境。这无异于一场巨大的、跨世代的遗传赌博。研究甚至发现了多基因选择的证据:数百个效应微小的基因变异被同时向同一个方向推动。这意味着,我们对复杂性状的遗传基础理解仍非常粗浅,试图通过编辑或选择少数基因来“设计”后代,可能产生难以预料的、在漫长进化尺度上不利的后果。
这项研究如同一道强光,照亮了我们进化历程中曾被忽视的动荡篇章。它告诉我们,人类不是一个在抵达文明后就基本定型的“完成品”,而是一个其基因组仍在与环境积极互动的、动态的“进行时”。这要求我们以更谦卑、更审慎的态度对待自身的遗传密码。在急于用科技手段“改进”人类之前,我们必须首先承认,我们对什么是“改进”的理解,深受短暂当下和有限视角的束缚。进化没有蓝图,它是一系列在变化环境中不断试错和调整的解决方案。这项研究最大的启示或许在于:尊重进化过程中蕴含的时间智慧与复杂性,警惕用我们这一代人的“短视”去替代百万年自然史积淀的“远见”。我们仍在进化,而理解这一点,是我们负责任地走向未来的第一步。
参考来源
- RT by @paulg: A new paper in @Nature from David Reich, @aliakbari23 and colleagues breaks the conventional understanding of recent human evolution. The field believed that strong selection in the recent past (~10,000 years) was rare, with few exceptions like the lactase persistence locus. In this paper, the authors challenge that belief, showing that we weren't looking at the problem right.
- Previous studies that looked for evidence of selection using ancient DNA addressed the problem cross-sectionally, asking if allele frequencies differed across populations more than what one would expect based on genetic drift and migration. Most arrived at the conclusion that population structure primarily explained the observed differences. Here, the authors addressed the problem longitudinally, accounting for when ancient individuals lived by explicitly modeling time as a variable in the analysis. It turns out doing it this way dramatically increases power, increasing the number of genome-wide significant selection signals by 20-fold!
- Looking at why accounting for the time variable led to such dramatic changes in results, the authors find that previous studies missed so much because selection often happened not on new variants leading to dramatic sweeps (the conventional model: new variant -> selection -> increase in frequency) but on already existing variants driven by transient environmental pressures. Many of these variants underwent reversals, selected up when a pressure existed, then purged when it disappeared or the trade-off cost became dominant. A great example is the TYK2 variant, where an allele boosting immunity was selected for thousands of years because it protected against TB, then got purged as TB endemicity declined and the autoimmune cost took over.
- The scale of what they found is striking: hundreds of loci showing strong selection in the past 10,000 years with a median selection coefficient of ~0.86%. This number is pretty big in evolutionary terms, meaning allele frequencies have been shifting by ~1% per generation in a consistent direction. Previous selection scans found a maximum of 20 loci, and this one finds hundreds. That isn't an incremental change. It fundamentally reframes our understanding of how common strong selection has been in recent human history.
- Some of the most striking findings come from polygenic selection, where hundreds of small-effect alleles were pushed in the same direction simultaneously. Polygenic scores based on large-scale GWAS of today predict recent negative selection for traits like body fat, waist circumference and schizophrenia, and positive selection for others like cognitive traits. One important caveat is that GWAS phenotypes are measured in industrialized societies today, and how well they capture what was actually being selected in ancient environments is debatable.
- For me personally, these findings have direct implications for drug discovery. When using human genetics to find drug targets, we often fixate on the benefit and risk profiles of variants visible today. But we need to be aware that a variant's benefit:harm ratio might be environmentally contingent, and could reverse when the wrong environment manifests. An evolutionary understanding of a variant's association with traits is therefore essential.
- The same logic applies, perhaps even more urgently, to embryo selection. Selecting embryos based on polygenic traits is humans making permanent, heritable decisions for their offspring with a narrow view of today's environment. The ancient DNA record now shows that cost-benefit landscapes flip over time. So, an embryo carrying man-made selections is carrying those changes into an unpredictable future environment.
- The broader takeaway is that human evolution didn't freeze in the last 10,000 years. We just lacked the tools and datasets to see its movement. The current findings are based on European populations. I am curious to see these analyses extended to other populations too, like South Asian, East Asian and African populations, which might be holding more surprises to blow our minds.
- Akbari et al. Nature 2026
- https://www.nature.com/articles/s41586-026-10358-1 - https://nitter.net/doctorveera/status/2044679999450664967#m
- 《重返未来:1999》三周年特别版本·3.7版本PV:他者的悲哀 - https://www.bilibili.com/video/BV1MPdBB8EEN
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