Literature DB >> 17444905

Age-dependent genetic effects on a secondary sexual trait in male Alpine ibex, Capra ibex.

Achaz Von Hardenberg1, Bruno Bassano, Marco Festa-Bianchet, Gordon Luikart, Paolo Lanfranchi, David Coltman.   

Abstract

Secondary sexual traits, such as horns in ungulates, may be good indicators of genetic quality because they are costly to develop. Genetic effects on such traits may be revealed by examining correlations between multilocus heterozygosity (MLH) and trait value. Correlations between MLH and fitness traits, termed heterozygosity-fitness correlations (HFC), may reflect inbreeding depression or associative overdominance of neutral microsatellite loci with loci directly affecting fitness traits. We investigated HFCs for horn growth, body mass and faecal counts of nematode eggs in wild Alpine ibex (Capra ibex). We also tested if individual inbreeding coefficients (f') estimated from microsatellite data were more strongly correlated with fitness traits than MLH. MLH was more strongly associated with trait variation than f'. We found HFC for horn growth but not for body mass or faecal counts of nematode eggs. The effect of MLH on horn growth was age-specific. The slope of the correlation between MLH and yearly horn growth changed from negative to positive as males aged, in accordance with the mutation accumulation theory of the evolution of senescence. Our results suggest that the horns of ibex males are an honest signal of genetic quality.

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Year:  2007        PMID: 17444905     DOI: 10.1111/j.1365-294X.2006.03221.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  9 in total

1.  Direct and indirect causal effects of heterozygosity on fitness-related traits in Alpine ibex.

Authors:  Alice Brambilla; Iris Biebach; Bruno Bassano; Giuseppe Bogliani; Achaz von Hardenberg
Journal:  Proc Biol Sci       Date:  2015-01-07       Impact factor: 5.349

2.  Alpine ibex males grow large horns at no survival cost for most of their lifetime.

Authors:  Carole Toïgo; Jean-Michel Gaillard; Anne Loison
Journal:  Oecologia       Date:  2013-06-18       Impact factor: 3.225

3.  Association between SNP heterozygosity and quantitative traits in the Framingham Heart Study.

Authors:  Didahally R Govindaraju; Martin G Larson; Xiaoyan Yin; Emelia J Benjamin; Marepalli B Rao; Ramachandran S Vasan
Journal:  Ann Hum Genet       Date:  2009-07       Impact factor: 1.670

4.  Exploring heterozygosity-survival correlations in a wild songbird population: contrasting effects between juvenile and adult stages.

Authors:  David Canal; David Serrano; Jaime Potti
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

5.  Using heterozygosity-fitness correlations to study inbreeding depression in an isolated population of white-tailed deer founded by few individuals.

Authors:  Jon E Brommer; Jaana Kekkonen; Mikael Wikström
Journal:  Ecol Evol       Date:  2014-12-24       Impact factor: 2.912

6.  Fine-scale genetic correlates to condition and migration in a wild cervid.

Authors:  Joseph M Northrup; Aaron B A Shafer; Charles R Anderson; David W Coltman; George Wittemyer
Journal:  Evol Appl       Date:  2014-08-28       Impact factor: 5.183

7.  Contrasting patterns of sexually selected traits in Mediterranean and continental populations of European mouflon.

Authors:  Krešimir Kavčić; Luca Corlatti; Toni Safner; Nikola Budak; Nikica Šprem
Journal:  Ecol Evol       Date:  2020-01-24       Impact factor: 2.912

8.  European springtime temperature synchronises ibex horn growth across the eastern Swiss Alps.

Authors:  Ulf Büntgen; Andrew Liebhold; Hannes Jenny; Atle Mysterud; Simon Egli; Daniel Nievergelt; Nils C Stenseth; Kurt Bollmann
Journal:  Ecol Lett       Date:  2013-12-16       Impact factor: 9.492

9.  Age- and quality-dependent DNA methylation correlate with melanin-based coloration in a wild bird.

Authors:  Carl D Soulsbury; Anssi Lipponen; Kristie Wood; Charles A Mein; Joseph I Hoffman; Christophe Lebigre
Journal:  Ecol Evol       Date:  2018-05-30       Impact factor: 2.912

  9 in total

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