Literature DB >> 30214134

Genomic analysis of MHC-based mate choice in the monogamous California mouse.

Jesyka Meléndez-Rosa1,2, Ke Bi2,3, Eileen A Lacey1,2.   

Abstract

Variation at Major Histocompatibility Complex (MHC) genes is thought to be an important mechanism underlying mate choice in vertebrates, with individuals typically predicted to prefer MHC-dissimilar reproductive partners. However, analyses based on individual MHC loci have generated contradictory results regarding the role of these genes in mate-choice decisions. To provide a more comprehensive assessment of relationships between MHC variation and mating behavior, we used an exome capture strategy to characterize variability at 13 MHC loci, 312 innate immune system genes, and 1044 nonimmune genes in 25 obligate monogamous pairs of California mice (Peromyscus californicus) from 2 free-living populations of this species in Monterey County, California. Pairwise genotypic comparisons and analyses of SNP-based allelic differences failed to detect disassortative mating based on MHC variability; reproductive partners were not more dissimilar than randomly generated male-female pairs at MHC, innate or nonimmune loci. Within populations, individuals tended to be more closely related at MHC genes than at innate or nonimmune genes. Consistent with the functional role of immunogenes, the 2 study populations were highly differentiated at MHC and innate genes but not at nonimmune loci. Collectively, our results suggest that MHC genetic variation in California mice reflects local differences in pathogen exposure rather than disassortative mating based on variability at MHC Class I and II genes.

Entities:  

Keywords:  deer mice; immune genes; mate choice; mating system; monogamy

Year:  2018        PMID: 30214134      PMCID: PMC6129947          DOI: 10.1093/beheco/ary096

Source DB:  PubMed          Journal:  Behav Ecol        ISSN: 1045-2249            Impact factor:   2.671


  78 in total

Review 1.  Inbreeding and relatedness coefficients: what do they measure?

Authors:  F Rousset
Journal:  Heredity (Edinb)       Date:  2002-05       Impact factor: 3.821

2.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

3.  Illumina sequencing library preparation for highly multiplexed target capture and sequencing.

Authors:  Matthias Meyer; Martin Kircher
Journal:  Cold Spring Harb Protoc       Date:  2010-06

4.  Large-scale genotyping of highly polymorphic loci by next-generation sequencing: how to overcome the challenges to reliably genotype individuals?

Authors:  M Ferrandiz-Rovira; T Bigot; D Allainé; M-P Callait-Cardinal; A Cohas
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5.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

6.  Three-dimensional structure of the human class II histocompatibility antigen HLA-DR1.

Authors:  J H Brown; T S Jardetzky; J C Gorga; L J Stern; R G Urban; J L Strominger; D C Wiley
Journal:  Nature       Date:  1993-07-01       Impact factor: 49.962

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8.  Promiscuity in mice is associated with increased vaginal bacterial diversity.

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9.  Hybrid selection of discrete genomic intervals on custom-designed microarrays for massively parallel sequencing.

Authors:  Emily Hodges; Michelle Rooks; Zhenyu Xuan; Arindam Bhattacharjee; D Benjamin Gordon; Leonardo Brizuela; W Richard McCombie; Gregory J Hannon
Journal:  Nat Protoc       Date:  2009-05-28       Impact factor: 13.491

10.  Transcriptome-based exon capture enables highly cost-effective comparative genomic data collection at moderate evolutionary scales.

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