Machine learning spots natural selection at work in human genome
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چکیده
منابع مشابه
Reproductive isolation: Natural selection at work
The crucial step in the separation of two populations of a sexually reproducing species into two new species — speciation — is the acquisition of reproductive isolation between them. Such isolation ensures that they can evolve independently of each other, and so end up with radically different genotypes and phenotypes. This causes the biological world to be divided up into the discrete taxonomi...
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BACKGROUND It has been speculated that the polymorphisms in the non-coding portion of the human genome underlie much of the phenotypic variability among humans and between humans and other primates. If so, these genomic regions may be undergoing rapid evolutionary change, due in part to natural selection. However, the non-coding region is a heterogeneous mix of functional and non-functional reg...
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A major question in evolutionary biology is how natural selection has shaped patterns of genetic variation across the human genome. Previous work has documented a reduction in genetic diversity in regions of the genome with low recombination rates. However, it is unclear whether other summaries of genetic variation, like allele frequencies, are also correlated with recombination rate and whethe...
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Over the past four decades, the predominant view of molecular evolution saw little connection between natural selection and genome evolution, assuming that the functionally constrained fraction of the genome is relatively small and that adaptation is sufficiently infrequent to play little role in shaping patterns of variation within and even between species. Recent evidence from Drosophila, rev...
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ژورنال
عنوان ژورنال: Nature
سال: 2018
ISSN: 0028-0836,1476-4687
DOI: 10.1038/d41586-018-07225-z