How old is my gene?

被引:54
作者
Capra, John A. [1 ,2 ]
Stolzer, Maureen [3 ]
Durand, Dannie [3 ,4 ]
Pollard, Katherine S. [5 ,6 ]
机构
[1] Vanderbilt Univ, Ctr Human Genet Res, Nashville, TN 37232 USA
[2] Vanderbilt Univ, Dept Biomed Informat, Nashville, TN 37232 USA
[3] Carnegie Mellon Univ, Dept Biol Sci, Pittsburgh, PA 15213 USA
[4] Carnegie Mellon Univ, Dept Comp Sci, Pittsburgh, PA 15213 USA
[5] Univ Calif San Francisco, Inst Human Genet, Gladstone Inst, San Francisco, CA 94158 USA
[6] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94158 USA
基金
美国国家科学基金会;
关键词
phylogenetics; gene age; molecular clock; eukaryotes; SPECIES DIVERGENCE TIMES; EVOLUTIONARY RATE; INVERSE RELATIONSHIP; DUPLICATE GENES; AGE; ALGORITHMS; DATABASE; ORIGIN; PERFORMANCE; EMERGENCE;
D O I
10.1016/j.tig.2013.07.001
中图分类号
Q3 [遗传学];
学科分类号
071007 [遗传学];
摘要
Gene functions, interactions, disease associations, and ecological distributions are all correlated with gene age. However, it is challenging to estimate the intricate series of evolutionary events leading to a modern-day gene and then to reduce this history to a single age estimate. Focusing on eukaryotic gene families, we introduce a framework that can be used to compare current strategies for quantifying gene age, discuss key differences between these methods, and highlight several common problems. We argue that genes with complex evolutionary histories do not have a single well-defined age. As a result, care must be taken to articulate the goals and assumptions of any analysis that uses gene age estimates. Recent algorithmic advances offer the promise of gene age estimates that are fast, accurate, and consistent across gene families. This will enable a shift to integrated genome-wide analyses of all events in gene evolutionary histories in the near future.
引用
收藏
页码:659 / 668
页数:10
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