Genome-wide inference of natural selection on human transcription factor binding sites

被引:86
作者
Arbiza, Leonardo [1 ]
Gronau, Ilan [1 ]
Aksoy, Bulent A. [2 ]
Hubisz, Melissa J. [1 ]
Gulko, Brad [3 ]
Keinan, Alon [1 ,2 ,3 ]
Siepel, Adam [1 ,2 ,3 ]
机构
[1] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14853 USA
[2] Triinst Training Program Computat Biol & Med, New York, NY USA
[3] Cornell Univ, Grad Field Comp Sci, Ithaca, NY USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
SLIGHTLY DELETERIOUS MUTATIONS; ADAPTIVE PROTEIN EVOLUTION; MOLECULAR EVOLUTION; BALANCING SELECTION; POPULATION-SIZE; MOUSE GENOME; DNA; ELEMENTS; DROSOPHILA; POLYMORPHISM;
D O I
10.1038/ng.2658
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
For decades, it has been hypothesized that gene regulation has had a central role in human evolution, yet much remains unknown about the genome-wide impact of regulatory mutations. Here we use whole-genome sequences and genome-wide chromatin immunoprecipitation and sequencing data to demonstrate that natural selection has profoundly influenced human transcription factor binding sites since the divergence of humans from chimpanzees 4-6 million years ago. Our analysis uses a new probabilistic method, called INSIGHT, for measuring the influence of selection on collections of short, interspersed noncoding elements. We find that, on average, transcription factor binding sites have experienced somewhat weaker selection than protein-coding genes. However, the binding sites of several transcription factors show clear evidence of adaptation. Several measures of selection are strongly correlated with predicted binding affinity. Overall, regulatory elements seem to contribute substantially to both adaptive substitutions and deleterious polymorphisms with key implications for human evolution and disease.
引用
收藏
页码:723 / +
页数:9
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