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Signatures of Environmental Genetic Adaptation Pinpoint Pathogens as the Main Selective Pressure through Human Evolution

机译:环境遗传适应精确病原体的签名是人类进化的主要选择压力

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摘要

Previous genome-wide scans of positive natural selection in humans have identified a number of non-neutrally evolving genes that play important roles in skin pigmentation, metabolism, or immune function. Recent studies have also shown that a genome-wide pattern of local adaptation can be detected by identifying correlations between patterns of allele frequencies and environmental variables. Despite these observations, the degree to which natural selection is primarily driven by adaptation to local environments, and the role of pathogens or other ecological factors as selective agents, is still under debate. To address this issue, we correlated the spatial allele frequency distribution of a large sample of SNPs from 55 distinct human populations to a set of environmental factors that describe local geographical features such as climate, diet regimes, and pathogen loads. In concordance with previous studies, we detected a significant enrichment of genic SNPs, and particularly non-synonymous SNPs associated with local adaptation. Furthermore, we show that the diversity of the local pathogenic environment is the predominant driver of local adaptation, and that climate, at least as measured here, only plays a relatively minor role. While background demography by far makes the strongest contribution in explaining the genetic variance among populations, we detected about 100 genes which show an unexpectedly strong correlation between allele frequencies and pathogenic environment, after correcting for demography. Conversely, for diet regimes and climatic conditions, no genes show a similar correlation between the environmental factor and allele frequencies. This result is validated using low-coverage sequencing data for multiple populations. Among the loci targeted by pathogen-driven selection, we found an enrichment of genes associated to autoimmune diseases, such as celiac disease, type 1 diabetes, and multiples sclerosis, which lends credence to the hypothesis that some susceptibility alleles for autoimmune diseases may be maintained in human population due to past selective processes.
机译:先前人类全基因组自然阳性选择的扫描已经确定了许多非中性进化的基因,它们在皮肤色素沉着,新陈代谢或免疫功能中起重要作用。最近的研究还表明,可以通过识别等位基因频率模式与环境变量之间的相关性来检测全基因组范围的局部适应模式。尽管有这些观察结果,自然选择的程度主要取决于对当地环境的适应程度,以及病原体或其他生态因素作为选择剂的作用仍在争论中。为了解决这个问题,我们将来自55个不同人群的大量SNP样本的空间等位基因频率分布与描述局部地理特征(如气候,饮食习惯和病原体负荷)的一组环境因素相关联。与以前的研究一致,我们检测到大量的基因SNP,特别是与局部适应性相关的非同义SNP。此外,我们表明,局部致病环境的多样性是局部适应的主要驱动力,而且气候(至少按此处测量)仅起相对较小的作用。尽管背景人口统计学迄今为止在解释人群之间的遗传差异方面贡献最大,但在校正了人口统计学之后,我们检测到约100个基因,这些基因显示等位基因频率与致病环境之间出乎意料的强相关性。相反,对于饮食习惯和气候条件,没有任何基因显示环境因素与等位基因频率之间存在相似的相关性。使用多个人群的低覆盖率测序数据验证了此结果。在病原体驱动的选择靶向的基因座中,我们发现了与自身免疫性疾病(如腹腔疾病,1型糖尿病和多发性硬化症)相关的基因的丰富,这为可能维持某些自身免疫性疾病易感性等位基因的假设提供了依据。由于过去的选择性过程而导致人口数量减少。

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