4.5 Article

Epistasis, inbreeding depression, and the evolution of self-fertilization

期刊

EVOLUTION
卷 74, 期 7, 页码 1301-1320

出版社

OXFORD UNIV PRESS
DOI: 10.1111/evo.13961

关键词

Epistasis; evolutionary quantitative genetics; inbreeding depression; multilocus population genetics; pollen discounting; self-fertilization

资金

  1. French Agence Nationale de la Recherche [ANR-13-ADAP-0011, ANR-14-CE02-0001]
  2. TUM University Foundation Fellowship
  3. Alexander von Humboldt-Stiftung foundation
  4. Agence Nationale de la Recherche (ANR) [ANR-13-ADAP-0011] Funding Source: Agence Nationale de la Recherche (ANR)

向作者/读者索取更多资源

Inbreeding depression resulting from partially recessive deleterious alleles is thought to be the main genetic factor preventing self-fertilizing mutants from spreading in outcrossing hermaphroditic populations. However, deleterious alleles may also generate an advantage to selfers in terms of more efficient purging, while the effects of epistasis among those alleles on inbreeding depression and mating system evolution remain little explored. In this article, we use a general model of selection to disentangle the effects of different forms of epistasis (additive-by-additive, additive-by-dominance, and dominance-by-dominance) on inbreeding depression and on the strength of selection for selfing. Models with fixed epistasis across loci, and models of stabilizing selection acting on quantitative traits (generating distributions of epistasis) are considered as special cases. Besides its effects on inbreeding depression, epistasis may increase the purging advantage associated with selfing (when it is negative on average), while the variance in epistasis favors selfing through the generation of linkage disequilibria that increase mean fitness. Approximations for the strengths of these effects are derived, and compared with individual-based simulation results.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Ecology

Perenniality induces high inbreeding depression in self-fertilising species

D. Abu Awad, S. Billiard, V. C. Tran

THEORETICAL POPULATION BIOLOGY (2016)

Article Ecology

GENETIC ARCHITECTURE OF INBREEDING DEPRESSION AND THE MAINTENANCE OF GAMETOPHYTIC SELF-INCOMPATIBILITY

Camille Gervais, Diala Abu Awad, Denis Roze, Vincent Castric, Sylvain Billiard

EVOLUTION (2014)

Article Multidisciplinary Sciences

The Interaction between Selection, Demography and Selfing and How It Affects Population Viability

Diala Abu Awad, Sophie Gallina, Cyrille Bonamy, Sylvain Billiard

PLOS ONE (2014)

Correction Multidisciplinary Sciences

The Interaction between Selection, Demography and Selfing and How It Affects Population Viability (vol 9, e86125, 2014)

D. Abu Awad, S. Gallina, C. Bonamy, S. Billiard

PLOS ONE (2014)

Article Genetics & Heredity

Inference of past demography, dormancy and self-fertilization rates from whole genome sequence data

Thibaut Paul Patrick Sellinger, Diala Abu Awad, Markus Moest, Aurelien Tellier

PLOS GENETICS (2020)

Article Ecology

Hidden genetic variance contributes to increase the short-term adaptive potential of selfing populations

Josselin Clo, Joelle Ronfort, Diala Abu Awad

JOURNAL OF EVOLUTIONARY BIOLOGY (2020)

Article Ecology

Weak seed banks influence the signature and detectability of selective sweeps

Kevin Korfmann, Diala Abu Awad, Aurelien Tellier

Summary: Seed banking is a common strategy that reduces genetic drift and population overlap. However, its impact is often ignored in the detection of selective sweeps. By simulating weak seed banks, we found that seed banking does not affect fixation probability but increases fixation time and alters genomic signatures of selection.

JOURNAL OF EVOLUTIONARY BIOLOGY (2023)

Article Ecology

Weak seed banks influence the signature and detectability of selective sweeps

Kevin Korfmann, Diala Abu Awad, Aurelien Tellier

Summary: Seed banking is a widespread bet-hedging strategy that decreases the magnitude of genetic drift and changes the genomic signatures of selection. By integrating simulation programs with seed banking, footprints of selection can be predicted and past evolutionary events can be inferred.

JOURNAL OF EVOLUTIONARY BIOLOGY (2023)

暂无数据