Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Proc Natl Acad Sci U S A. 2010 May 11;107 Suppl 2(Suppl 2):8924-30. doi: 10.1073/pnas.0914625107. Epub 2010 May 5.
Human populations use a variety of subsistence strategies to exploit an exceptionally broad range of ecoregions and dietary components. These aspects of human environments have changed dramatically during human evolution, giving rise to new selective pressures. To understand the genetic basis of human adaptations, we combine population genetics data with ecological information to detect variants that increased in frequency in response to new selective pressures. Our approach detects SNPs that show concordant differences in allele frequencies across populations with respect to specific aspects of the environment. Genic and especially nonsynonymous SNPs are overrepresented among those most strongly correlated with environmental variables. This provides genome-wide evidence for selection due to changes in ecoregion, diet, and subsistence. We find particularly strong signals associated with polar ecoregions, with foraging, and with a diet rich in roots and tubers. Interestingly, several of the strongest signals overlap with those implicated in energy metabolism phenotypes from genome-wide association studies, including SNPs influencing glucose levels and susceptibility to type 2 diabetes. Furthermore, several pathways, including those of starch and sucrose metabolism, are enriched for strong signals of adaptations to a diet rich in roots and tubers, whereas signals associated with polar ecoregions are overrepresented in genes associated with energy metabolism pathways.
人类群体利用各种生存策略来利用极其广泛的生态区和饮食成分。在人类进化过程中,人类环境的这些方面发生了巨大变化,产生了新的选择压力。为了了解人类适应的遗传基础,我们将群体遗传学数据与生态信息相结合,以检测因新的选择压力而增加频率的变异。我们的方法检测到了 SNP,这些 SNP 在与环境特定方面相关的人口中,在等位基因频率方面表现出一致的差异。在与环境变量最相关的 SNP 中,基因和特别是非同义 SNP 数量过多。这为生态区、饮食和生存方式的变化导致的选择提供了全基因组证据。我们发现与极地生态区、觅食以及富含根茎的饮食相关的信号特别强烈。有趣的是,几个最强的信号与全基因组关联研究中涉及能量代谢表型的信号重叠,包括影响血糖水平和 2 型糖尿病易感性的 SNP。此外,包括淀粉和蔗糖代谢在内的几个途径,富含对富含根茎饮食的适应的强烈信号,而与极地生态区相关的信号在与能量代谢途径相关的基因中数量过多。