Literature DB >> 27302839

Estimation of genetic purging under competitive conditions.

Eugenio López-Cortegano1, Ana Vilas2, Armando Caballero2, Aurora García-Dorado3.   

Abstract

Inbreeding depression for fitness traits is a key issue in evolutionary biology and conservation genetics. The magnitude of inbreeding depression, though, may critically depend on the efficiency of genetic purging, the elimination or recessive deleterious mutations by natural selection after they are exposed by inbreeding. However, the detection and quantification of genetic purging for nonlethal mutations is a rather difficult task. Here, we present two comprehensive sets of experiments with Drosophila aimed at detecting genetic purging in competitive conditions and quantifying its magnitude. We obtain, for the first time in competitive conditions, an estimate for the predictive parameter, the purging coefficient (d), that quantifies the magnitude of genetic purging, either against overall inbreeding depression (d ≈ 0.3), or against the component ascribed to nonlethal alleles (dNL ≈ 0.2). We find that competitive fitness declines at a high rate when inbreeding increases in the absence of purging. However, in moderate size populations under competitive conditions, inbreeding depression need not be too dramatic in the medium to short term, as the efficiency of purging is also very high. Furthermore, we find that purging occurred under competitive conditions also reduced the inbreeding depression that is expressed in the absence of competition.
© 2016 The Author(s). Evolution © 2016 The Society for the Study of Evolution.

Entities:  

Keywords:  Inbreeding load; fitness; genetic diversity; inbreeding depression; productivity

Mesh:

Year:  2016        PMID: 27302839     DOI: 10.1111/evo.12983

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  13 in total

1.  The risk of forcing inbreeding in conservation programmes: a reply to Theodorou and Couvet.

Authors:  A Caballero; I Bravo; J Wang
Journal:  Heredity (Edinb)       Date:  2017-03-22       Impact factor: 3.821

2.  Inbreeding load and purging: implications for the short-term survival and the conservation management of small populations.

Authors:  A Caballero; I Bravo; J Wang
Journal:  Heredity (Edinb)       Date:  2016-09-14       Impact factor: 3.821

3.  Detection of genetic purging and predictive value of purging parameters estimated in pedigreed populations.

Authors:  Eugenio López-Cortegano; Diego Bersabé; Jinliang Wang; Aurora García-Dorado
Journal:  Heredity (Edinb)       Date:  2018-02-13       Impact factor: 3.821

4.  Detecting purging of inbreeding depression by a slow rate of inbreeding for various traits: the impact of environmental and experimental conditions.

Authors:  Jørgen Bundgaard; Volker Loeschcke; Mads Fristrup Schou; Kuke R Bijlsma
Journal:  Heredity (Edinb)       Date:  2021-04-26       Impact factor: 3.832

5.  Predictive Model and Software for Inbreeding-Purging Analysis of Pedigreed Populations.

Authors:  Aurora García-Dorado; Jinliang Wang; Eugenio López-Cortegano
Journal:  G3 (Bethesda)       Date:  2016-11-08       Impact factor: 3.154

6.  Detection of barriers to dispersal is masked by long lifespans and large population sizes.

Authors:  Jordan R Hoffman; Janna R Willoughby; Bradley J Swanson; Kevin L Pangle; David T Zanatta
Journal:  Ecol Evol       Date:  2017-10-16       Impact factor: 2.912

7.  Mathematical modelling for variations of inbreeding populations fitness with single and polygenic traits.

Authors:  Shuhao Sun; Fima Klebaner; Tianhai Tian
Journal:  BMC Genomics       Date:  2017-03-14       Impact factor: 3.969

8.  Accelerated inbreeding depression suggests synergistic epistasis for deleterious mutations in Drosophila melanogaster.

Authors:  Sara Domínguez-García; Carlos García; Humberto Quesada; Armando Caballero
Journal:  Heredity (Edinb)       Date:  2019-09-02       Impact factor: 3.821

9.  On the estimation of inbreeding depression using different measures of inbreeding from molecular markers.

Authors:  Armando Caballero; Beatriz Villanueva; Tom Druet
Journal:  Evol Appl       Date:  2020-10-23       Impact factor: 5.183

10.  Genetic purging in captive endangered ungulates with extremely low effective population sizes.

Authors:  Eugenio López-Cortegano; Eulalia Moreno; Aurora García-Dorado
Journal:  Heredity (Edinb)       Date:  2021-09-28       Impact factor: 3.821

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