Measurably evolving populations

被引:292
作者
Drummond, AJ
Pybus, OG
Rambaut, A
Forsberg, R
Rodrigo, AG
机构
[1] Univ Oxford, Dept Stat, Oxford OX1 3TG, England
[2] Univ Oxford, Dept Zool, Oxford OX1 3PS, England
[3] Univ Auckland, Sch Biol Sci, Auckland 1, New Zealand
[4] Univ Auckland, Allan Wilson Ctr Mol Ecol & Evolut, Auckland 1, New Zealand
基金
英国惠康基金; 英国工程与自然科学研究理事会; 英国医学研究理事会;
关键词
D O I
10.1016/S0169-5347(03)00216-7
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The availability of nucleotide and amino acid sequences sampled at different points in time has fostered the development of new statistical methods that exploit this temporal dimension. Such sequences enable us to observe evolution in action and to estimate the rate and magnitude of evolutionary processes through time. Populations for which such studies are possible measurably evolving populations (MEPs) - are characterized by sufficiently long or numerous sampled sequences and a fast mutation rate relative to the available range of sequence sampling times. The impact of sequences sampled through time has been most apparent in the disciplines of RNA viral evolution and ancient DNA, where they enable us to estimate divergence times without paleontological calibrations, and to analyze temporal changes in population size, population structure and substitution rates. Thus, MEPs could increase our understanding of evolutionary processes in diverse organisms, from viruses to vertebrates.
引用
收藏
页码:481 / 488
页数:8
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