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Whole-genome sequence analyses of Western Central African Pygmy hunter-gatherers reveal a complex demographic history and identify candidate genes under positive natural selection

机译:中西部非洲侏儒猎人-采集者的全基因组序列分析揭示了复杂的人口历史并在自然选择积极的情况下鉴定了候选基因

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摘要

African Pygmies practicing a mobile hunter-gatherer lifestyle are phenotypically and genetically diverged from other anatomically modern humans, and they likely experienced strong selective pressures due to their unique lifestyle in the Central African rainforest. To identify genomic targets of adaptation, we sequenced the genomes of four Biaka Pygmies from the Central African Republic and jointly analyzed these data with the genome sequences of three Baka Pygmies from Cameroon and nine Yoruba famers. To account for the complex demographic history of these populations that includes both isolation and gene flow, we fit models using the joint allele frequency spectrum and validated them using independent approaches. Our two best-fit models both suggest ancient divergence between the ancestors of the farmers and Pygmies, 90,000 or 150,000 yr ago. We also find that bidirectional asymmetric gene flow is statistically better supported than a single pulse of unidirectional gene flow from farmers to Pygmies, as previously suggested. We then applied complementary statistics to scan the genome for evidence of selective sweeps and polygenic selection. We found that conventional statistical outlier approaches were biased toward identifying candidates in regions of high mutation or low recombination rate. To avoid this bias, we assigned P-values for candidates using whole-genome simulations incorporating demography and variation in both recombination and mutation rates. We found that genes and gene sets involved in muscle development, bone synthesis, immunity, reproduction, cell signaling and development, and energy metabolism are likely to be targets of positive natural selection in Western African Pygmies or their recent ancestors.
机译:在实践中,狩猎和采集活动的非洲侏儒在表型和遗传上与其他解剖学现代人类不同,由于他们在中非雨林中独特的生活方式,他们可能会承受很大的选择性压力。为了确定适应的基因组靶标,我们对来自中非共和国的四名比卡(Biaka)y格米人的基因组进行了测序,并与来自喀麦隆的三名巴卡(Baka)y格米人和九名约鲁巴(Yoruba)famers的基因组序列共同分析了这些数据。为了说明这些人群的复杂人口统计历史(包括隔离和基因流),我们使用联合等位基因频谱拟合模型,并使用独立的方法对其进行了验证。我们的两个最佳拟合模型都表明,在90,000或150,000年前的农民祖先与P格米人之间存在古老的分歧。我们还发现,如前所述,双向非对称基因流比单脉冲单向基因流从农民到格米人在统计学上得到更好的支持。然后,我们应用补充统计数据来扫描基因组,以获得选择性扫描和多基因选择的证据。我们发现常规的统计异常值方法偏向于在高突变或低重组率的区域中识别候选对象。为避免这种偏见,我们使用了全基因组模拟方法(结合了人口统计学以及重组率和突变率的变化)为候选人分配了P值。我们发现,涉及肌肉发育,骨骼合成,免疫,繁殖,细胞信号传导和发育以及能量代谢的基因和基因集很可能是西非y格米人或其近代祖先积极进行自然选择的目标。

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