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- Michael Lynch
- Department of Biology, Indiana University, Bloomington, IN 47405
書誌事項
- 公開日
- 2010-01-04
- DOI
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- 10.1073/pnas.0912629107
- 公開者
- Proceedings of the National Academy of Sciences
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説明
<jats:p>Although mutation provides the fuel for phenotypic evolution, it also imposes a substantial burden on fitness through the production of predominantly deleterious alleles, a matter of concern from a human-health perspective. Here, recently established databases on de novo mutations for monogenic disorders are used to estimate the rate and molecular spectrum of spontaneously arising mutations and to derive a number of inferences with respect to eukaryotic genome evolution. Although the human per-generation mutation rate is exceptionally high, on a per-cell division basis, the human germline mutation rate is lower than that recorded for any other species. Comparison with data from other species demonstrates a universal mutational bias toward A/T composition, and leads to the hypothesis that genome-wide nucleotide composition generally evolves to the point at which the power of selection in favor of G/C is approximately balanced by the power of random genetic drift, such that variation in equilibrium genome-wide nucleotide composition is largely defined by variation in mutation biases. Quantification of the hazards associated with introns reveals that mutations at key splice-site residues are a major source of human mortality. Finally, a consideration of the long-term consequences of current human behavior for deleterious-mutation accumulation leads to the conclusion that a substantial reduction in human fitness can be expected over the next few centuries in industrialized societies unless novel means of genetic intervention are developed.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 107 (3), 961-968, 2010-01-04
Proceedings of the National Academy of Sciences
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詳細情報 詳細情報について
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- CRID
- 1361981469308123776
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- ISSN
- 10916490
- 00278424
- https://id.crossref.org/issn/00278424
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- データソース種別
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- Crossref
