Literature DB >> 28563887

INFERENCES ABOUT INBREEDING DEPRESSION BASED ON CHANGES OF THE INBREEDING COEFFICIENT.

Kermit Ritland1.   

Abstract

In a mixed-mating population, the fitness of selfed individuals, relative to outcrossed individuals, can be estimated from observed changes of the inbreeding coefficient F. In general, three measurements of F, or two measurements of F and one of the selfing rate, spanning two generations are needed. If however, adult F is assumed constant among generations, the adult F and selfing rate of one generation are sufficient to estimate relative fitness. Estimates of the relative fitness of selfed individuals for 14 Mimulus populations, assuming equilibrium of adult F, averaged 0.38, which is significantly lower than the 0.50 threshold needed to favor selfing genotypes. However, estimates for some populations showed large variance and over the 14 populations, relative fitness did not correlate with selfing rate. Violations of the equilibrium assumption causes a positive bias of the estimate and a spurious negative correlation of estimates with selfing rate. Estimates of relative fitness based on two generations of F do not suffer these problems. The need for large sample sizes, multiallelic loci, and moderate levels of natural selfing limits the usefulness of using changes of F to infer inbreeding depression. © 1990 The Society for the Study of Evolution.

Entities:  

Year:  1990        PMID: 28563887     DOI: 10.1111/j.1558-5646.1990.tb05227.x

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


  17 in total

1.  Variability of individual genetic load: consequences for the detection of inbreeding depression.

Authors:  Gwendal Restoux; Priscille Huot de Longchamp; Bruno Fady; Etienne K Klein
Journal:  Genetica       Date:  2012-05-26       Impact factor: 1.082

2.  Comparing direct and indirect selfing rate estimates: when are population-structure estimates reliable?

Authors:  A Bürkli; N Sieber; K Seppälä; J Jokela
Journal:  Heredity (Edinb)       Date:  2017-02-08       Impact factor: 3.821

3.  Embryonic inbreeding depression varies among populations and by mating system in Witheringia solanacea (Solanaceae).

Authors:  Judy L Stone; Emily E Wilson; Andrew S Kwak
Journal:  Am J Bot       Date:  2010-07-26       Impact factor: 3.844

4.  Herkogamy and mating patterns in the self-compatible daffodil Narcissus longispathus.

Authors:  Mónica Medrano; Carlos M Herrera; Spencer C H Barrett
Journal:  Ann Bot       Date:  2005-03-29       Impact factor: 4.357

5.  Allelic configuration and polysomic inheritance of highly variable microsatellites in tetraploid gynodioecious Thymus praecox agg.

Authors:  Urs Landergott; Yamama Naciri; J Jakob Schneller; Rolf Holderegger
Journal:  Theor Appl Genet       Date:  2006-06-20       Impact factor: 5.699

6.  Female reproductive success decreases with display size in monkshood, Aconitum kusnezoffii (Ranunculaceae).

Authors:  Wan-Jin Liao; Yi Hu; Bi-Ru Zhu; Xia-Qing Zhao; Yan-Fei Zeng; Da-Yong Zhang
Journal:  Ann Bot       Date:  2009-09-18       Impact factor: 4.357

7.  Cross-cousin marriage among the Yanomamö shows evidence of parent-offspring conflict and mate competition between brothers.

Authors:  Napoleon A Chagnon; Robert F Lynch; Mary K Shenk; Raymond Hames; Mark V Flinn
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-13       Impact factor: 11.205

8.  High lifetime inbreeding depression counteracts the reproductive assurance benefit of selfing in a mass-flowering shrub.

Authors:  Chloé E L Delmas; Pierre-Olivier Cheptou; Nathalie Escaravage; André Pornon
Journal:  BMC Evol Biol       Date:  2014-11-30       Impact factor: 3.260

9.  Inbreeding in Mimulus guttatus reduces visitation by bumble bee pollinators.

Authors:  David E Carr; T'ai H Roulston; Haley Hart
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

10.  Population Genetic Structure of Glycyrrhiza inflata B. (Fabaceae) Is Shaped by Habitat Fragmentation, Water Resources and Biological Characteristics.

Authors:  Lulu Yang; Jianjun Chen; Weiming Hu; Tianshun Yang; Yanjun Zhang; Tamura Yukiyoshi; Yanyang Zhou; Ying Wang
Journal:  PLoS One       Date:  2016-10-06       Impact factor: 3.240

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