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Social and spatial effects on genetic variation between foraging flocks in a wild bird population

Radersma, Reinder LU ; Garroway, Colin J.; Santure, Anna W.; de Cauwer, Isabelle; Farine, Damien R.; Slate, Jon and Sheldon, Ben C. (2017) In Molecular Ecology
Abstract

Social interactions are rarely random. In some instances, animals exhibit homophily or heterophily, the tendency to interact with similar or dissimilar conspecifics, respectively. Genetic homophily and heterophily influence the evolutionary dynamics of populations, because they potentially affect sexual and social selection. Here, we investigate the link between social interactions and allele frequencies in foraging flocks of great tits (Parus major) over three consecutive years. We constructed co-occurrence networks which explicitly described the splitting and merging of 85,602 flocks through time (fission-fusion dynamics), at 60 feeding sites. Of the 1,711 birds in those flocks, we genotyped 962 individuals at 4,701 autosomal single... (More)

Social interactions are rarely random. In some instances, animals exhibit homophily or heterophily, the tendency to interact with similar or dissimilar conspecifics, respectively. Genetic homophily and heterophily influence the evolutionary dynamics of populations, because they potentially affect sexual and social selection. Here, we investigate the link between social interactions and allele frequencies in foraging flocks of great tits (Parus major) over three consecutive years. We constructed co-occurrence networks which explicitly described the splitting and merging of 85,602 flocks through time (fission-fusion dynamics), at 60 feeding sites. Of the 1,711 birds in those flocks, we genotyped 962 individuals at 4,701 autosomal single nucleotide polymorphisms (SNPs). By combining genomewide genotyping with repeated field observations of the same individuals, we were able to investigate links between social structure and allele frequencies at a much finer scale than was previously possible. We explicitly accounted for potential spatial effects underlying genetic structure at the population level. We modelled social structure and spatial configuration of great tit fission-fusion dynamics with eigenvector maps. Variance partitioning revealed that allele frequencies were strongly affected by group fidelity (explaining 27%-45% of variance) as individuals tended to maintain associations with the same conspecifics. These conspecifics were genetically more dissimilar than expected, shown by genomewide heterophily for pure social (i.e., space-independent) grouping preferences. Genomewide homophily was linked to spatial configuration, indicating spatial segregation of genotypes. We did not find evidence for homophily or heterophily for putative socially relevant candidate genes or any other SNP markers. Together, these results demonstrate the importance of distinguishing social and spatial processes in determining population structure.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Parus major, Eigenvector maps, Population genetics, Single nucleotide polymorphisms, Social networks
in
Molecular Ecology
publisher
Wiley-Blackwell
external identifiers
  • scopus:85027988982
  • wos:000413927700032
ISSN
0962-1083
DOI
10.1111/mec.14291
language
English
LU publication?
yes
id
defc10a1-ea98-4676-bc99-b585deac1f6c
date added to LUP
2017-09-18 08:36:36
date last changed
2018-01-16 13:25:55
@article{defc10a1-ea98-4676-bc99-b585deac1f6c,
  abstract     = {<p>Social interactions are rarely random. In some instances, animals exhibit homophily or heterophily, the tendency to interact with similar or dissimilar conspecifics, respectively. Genetic homophily and heterophily influence the evolutionary dynamics of populations, because they potentially affect sexual and social selection. Here, we investigate the link between social interactions and allele frequencies in foraging flocks of great tits (Parus major) over three consecutive years. We constructed co-occurrence networks which explicitly described the splitting and merging of 85,602 flocks through time (fission-fusion dynamics), at 60 feeding sites. Of the 1,711 birds in those flocks, we genotyped 962 individuals at 4,701 autosomal single nucleotide polymorphisms (SNPs). By combining genomewide genotyping with repeated field observations of the same individuals, we were able to investigate links between social structure and allele frequencies at a much finer scale than was previously possible. We explicitly accounted for potential spatial effects underlying genetic structure at the population level. We modelled social structure and spatial configuration of great tit fission-fusion dynamics with eigenvector maps. Variance partitioning revealed that allele frequencies were strongly affected by group fidelity (explaining 27%-45% of variance) as individuals tended to maintain associations with the same conspecifics. These conspecifics were genetically more dissimilar than expected, shown by genomewide heterophily for pure social (i.e., space-independent) grouping preferences. Genomewide homophily was linked to spatial configuration, indicating spatial segregation of genotypes. We did not find evidence for homophily or heterophily for putative socially relevant candidate genes or any other SNP markers. Together, these results demonstrate the importance of distinguishing social and spatial processes in determining population structure.</p>},
  author       = {Radersma, Reinder and Garroway, Colin J. and Santure, Anna W. and de Cauwer, Isabelle and Farine, Damien R. and Slate, Jon and Sheldon, Ben C.},
  issn         = {0962-1083},
  keyword      = {Parus major,Eigenvector maps,Population genetics,Single nucleotide polymorphisms,Social networks},
  language     = {eng},
  month        = {08},
  publisher    = {Wiley-Blackwell},
  series       = {Molecular Ecology},
  title        = {Social and spatial effects on genetic variation between foraging flocks in a wild bird population},
  url          = {http://dx.doi.org/10.1111/mec.14291},
  year         = {2017},
}