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  Correlated patterns of genetic diversity and differentiation across an avian family

Van Doren, B., Campagna, L., Helm, B., Illera, J. C., Lovette, I. J., & Liedvogel, M. (2017). Correlated patterns of genetic diversity and differentiation across an avian family. Molecular Ecology, 26(15), 3982-3997. doi:10.1111/mec.14083.

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Van Doren, Benjamin1, Author           
Campagna, Leonardo, Author
Helm, Barbara, Author
Illera, Juan Carlos, Author
Lovette, Irby J., Author
Liedvogel, Miriam2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Behavioural Genomics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2129640              

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Free keywords: differentiation peaks; Ficedula; genetic drift; genomic scan; linked selection; pooled sequencing; Saxicola
 Abstract: Comparative studies of closely related taxa can provide insights into the evolutionary forces that shape genome evolution and the prevalence of convergent molecular evolution. We investigated patterns of genetic diversity and differentiation in stonechats (genus Saxicola), a widely distributed avian species complex with phenotypic variation in plumage, morphology and migratory behaviour, to ask whether similar genomic regions have become differentiated in independent, but closely related, taxa. We used whole-genome pooled sequencing of 262 individuals from five taxa and found that levels of genetic diversity and divergence are strongly correlated among different stonechat taxa. We then asked whether these patterns remain correlated at deeper evolutionary scales and found that homologous genomic regions have become differentiated in stonechats and the closely related Ficedula flycatchers. Such correlation across a range of evolutionary divergence and among phylogenetically independent comparisons suggests that similar processes may be driving the differentiation of these independently evolving lineages, which in turn may be the result of intrinsic properties of particular genomic regions (e.g. areas of low recombination). Consequently, studies employing genome scans to search for areas important for reproductive isolation or adaptation should account for corresponding regions of differentiation, as these regions may not necessarily represent speciation islands or evidence of local adaptation.

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Language(s): eng - English
 Dates: 2017-01-032017-02-222017-07-272017-08
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/mec.14083
BibTex Citekey: MEC:MEC14083
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Title: Molecular Ecology
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 26 (15) Sequence Number: - Start / End Page: 3982 - 3997 Identifier: ISSN: 0962-1083
CoNE: https://pure.mpg.de/cone/journals/resource/954925580119