Literature DB >> 16599932

Correlations between heterozygosity and measures of genetic similarity: implications for understanding mate choice.

S C Roberts1, M L Hale, M Petrie.   

Abstract

There is currently considerable interest in testing the effects of genetic compatibility and heterozygosity on animal mate preferences. Evidence for either effect is rapidly accumulating, although results are not always clear-cut. However, correlations between mating preferences and either genetic similarity or heterozygosity are usually tested independently, and the possibility that similarity and heterozygosity may be confounded has rarely been taken into account. Here we show that measures of genetic similarity (allele sharing, relatedness) may be correlated with heterozygosity, using data from 441 human individuals genotyped at major loci in the major histocompatibility complex, and 281 peafowl (Pavo cristatus) individuals genotyped at 13 microsatellite loci. We show that average levels of allele sharing and relatedness are each significantly associated with heterozygosity in both humans and peafowl, that these relationships are influenced by the level of polymorphism, and that these similarity measures may correlate with heterozygosity in qualitatively different ways. We discuss the implications of these inter-relationships for interpretation of mate choice studies. It has recently become apparent that mating preferences for 'good genes' and 'compatible genes' may introduce discordant choice amongst individuals, since the optimal mate for one trait may not be optimal for the other, and our results are consistent with this idea. The inter-relationship between these measures of genetic quality also carries implications for the way in which mate choice studies are designed and interpreted, and generates predictions that can be tested in future research.

Entities:  

Mesh:

Year:  2006        PMID: 16599932     DOI: 10.1111/j.1420-9101.2005.01003.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  9 in total

1.  Eco-immunology of fish invasions: the role of MHC variation.

Authors:  C Monzón-Argüello; C Garcia de Leaniz; G Gajardo; S Consuegra
Journal:  Immunogenetics       Date:  2014-04-22       Impact factor: 2.846

2.  Promiscuity, paternity and personality in the great tit.

Authors:  Samantha C Patrick; Joanne R Chapman; Hannah L Dugdale; John L Quinn; Ben C Sheldon
Journal:  Proc Biol Sci       Date:  2011-11-30       Impact factor: 5.349

3.  Heterozygosity-based assortative mating in blue tits (Cyanistes caeruleus): implications for the evolution of mate choice.

Authors:  Vicente García-Navas; Joaquín Ortego; Juan José Sanz
Journal:  Proc Biol Sci       Date:  2009-05-27       Impact factor: 5.349

Review 4.  Good genes, complementary genes and human mate preferences.

Authors:  S Craig Roberts; Anthony C Little
Journal:  Genetica       Date:  2008-03-08       Impact factor: 1.082

5.  MHC class I diversity predicts non-random mating in Chinese alligators (Alligator sinensis).

Authors:  Qun-Hua Han; Ru-Na Sun; Hai-Qiong Yang; Zhen-Wei Wang; Qiu-Hong Wan; Sheng-Guo Fang
Journal:  Heredity (Edinb)       Date:  2019-01-22       Impact factor: 3.821

6.  Mate choice for genetic compatibility in the house mouse.

Authors:  Anna K Lindholm; Kerstin Musolf; Andrea Weidt; Barbara König
Journal:  Ecol Evol       Date:  2013-03-20       Impact factor: 2.912

7.  Genetic dissimilarity between mates, but not male heterozygosity, influences divorce in schistosomes.

Authors:  Sophie Beltran; Frank Cézilly; Jérôme Boissier
Journal:  PLoS One       Date:  2008-10-08       Impact factor: 3.240

8.  MHC-correlated odour preferences in humans and the use of oral contraceptives.

Authors:  S Craig Roberts; L Morris Gosling; Vaughan Carter; Marion Petrie
Journal:  Proc Biol Sci       Date:  2008-12-07       Impact factor: 5.349

9.  Mate choice for neutral and MHC genetic characteristics in Alpine marmots: different targets in different contexts?

Authors:  Mariona Ferrandiz-Rovira; Dominique Allainé; Marie-Pierre Callait-Cardinal; Aurélie Cohas
Journal:  Ecol Evol       Date:  2016-05-25       Impact factor: 2.912

  9 in total

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