conservation genetics;
diversity;
evolutionary potential;
information theory;
theoretical population genetics;
GENETIC DRIFT;
AVERAGE NUMBER;
MUTANT-GENE;
MUTATION;
DIVERSITY;
FIXATION;
EVENNESS;
DETERMINANTS;
CONSERVATION;
EXTINCTION;
D O I:
10.1111/eva.70029
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
In population genetics idealized Wright-Fisher (WF) populations are generally considered equivalent to real populations with regard to the major evolutionary processes that influence genotype and allele frequencies. As a result we often model the response of populations by focusing on the effective size Ne. The Diversity Partitioning Theorem (DPT) shows that you cannot model the behavior of a system solely on the basis of a diversity (accounting for unevenness among items) without taking richness into account. I show that the census population size (the number of adults, Nc) is equivalent to a richness, and that the effective size Ne is equivalent to a true diversity. It follows logically from the DPT that we require both Ne and Nc to understand how drift, selection, mutation, and gene flow interact to shape the course of evolution of populations. Here I review evidence that both Nc and Ne affect evolutionary trajectories of populations for neutral and adaptive processes. This also influences how we should consider evolutionary potential and genetic criteria for conservation of populations. The effective size of a population is of huge importance in evolutionary biology, but it should not be the sole focus when population size is concerned. Applied evolutionary studies need to integrate Nc in the equation more consistently when modeling the response to selection, mutation, migration, and drift.
机构:
Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R ChinaChinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
Ai, Bin
Wang, Zhao-Shan
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Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R ChinaChinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
Wang, Zhao-Shan
Ge, Song
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机构:
Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R ChinaChinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
机构:
Univ Rochester, Med Ctr, Div Solid Organ Transplant, Rochester, NY 14642 USAUniv Rochester, Med Ctr, Div Solid Organ Transplant, Rochester, NY 14642 USA
Orloff, Mark S.
Dokus, M. Katherine
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Univ Rochester, Med Ctr, Div Solid Organ Transplant, Rochester, NY 14642 USAUniv Rochester, Med Ctr, Div Solid Organ Transplant, Rochester, NY 14642 USA