Nothing in Evolution Makes Sense Except in the Light of Biology

被引:11
|
作者
Reiskind, Martha O. Burford [1 ,2 ]
Moody, Michael L. [3 ,4 ]
Bolnick, Daniel, I [5 ]
Hanifin, Charles T. [6 ]
Farrior, Caroline E. [7 ]
机构
[1] North Carolina State Univ, Evolutionary Biol & Conservat Sci, Dept Biol Sci, Raleigh, NC 27695 USA
[2] North Carolina State Univ, Genet & Genom Scholars Grad Program, Raleigh, NC 27695 USA
[3] Univ Texas El Paso, Ecol & Evolutionary Biol, Dept Biol Sci, El Paso, TX 79968 USA
[4] Univ Texas El Paso, Herbarium UTEP, El Paso, TX 79968 USA
[5] Univ Connecticut, Evolutionary Biol, Mansfield, CT USA
[6] Utah State Univ, Biol, Logan, UT 84322 USA
[7] Univ Texas Austin, Integrat Biol, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
evolution; predictability; quantitative genetics; adaptive evolution; population genetics; reintegrating biology; PARALLEL EVOLUTION; GENOMIC LANDSCAPE; MUTATION-RATES; ADAPTATION; COMMUNITY; SELECTION; ECOLOGY; HISTORY; ARCHITECTURE; METAANALYSIS;
D O I
10.1093/biosci/biaa170
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
A key question in biology is the predictability of the evolutionary process. If we can correctly predict the outcome of evolution, we may be better equipped to anticipate and manage species' adaptation to climate change, habitat loss, invasive species, or emerging infectious diseases, as well as improve our basic understanding of the history of life on Earth. In the present article, we ask the questions when, why, and if the outcome of future evolution is predictable. We first define predictable and then discuss two conflicting views: that evolution is inherently unpredictable and that evolution is predictable given the ability to collect the right data. We identify factors that generate unpredictability, the data that might be required to make predictions at some level of precision or at a specific timescale, and the intellectual and translational value of understanding when prediction is or is not possible.
引用
收藏
页码:370 / 382
页数:13
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