4.7 Article

Genome-wide admixture and ecological niche modelling reveal the maintenance of species boundaries despite long history of interspecific gene flow

期刊

MOLECULAR ECOLOGY
卷 23, 期 8, 页码 2046-2059

出版社

WILEY
DOI: 10.1111/mec.12710

关键词

ecological niche modelling; admixture; outlier loci; spruce

资金

  1. Genome British Columbia
  2. Forest Genetics Council of British Columbia
  3. Province of British Columbia Ministry of Forests and Natural Resources Operations
  4. Natural Science and Engineering Research Council of Canada (NSERC)
  5. UBC
  6. UBC University Graduate Fellowship (UGF)
  7. UBC Four Year Fellowship
  8. B.C government Pacific Century Graduate Scholarship

向作者/读者索取更多资源

The maintenance of species boundaries despite interspecific gene flow has been a continuous source of interest in evolutionary biology. Many hybridizing species have porous genomes with regions impermeable to introgression, conferring reproductive barriers between species. We used ecological niche modelling to study the glacial and postglacial recolonization patterns between the widely hybridizing spruce species Picea glauca and P.engelmannii in western North America. Genome-wide estimates of admixture based on a panel of 311 candidate gene single nucleotide polymorphisms (SNP) from 290 genes were used to assess levels of admixture and introgression and to identify loci putatively involved in adaptive differences or reproductive barriers between species. Our palaeoclimatic modelling suggests that these two closely related species have a long history of hybridization and introgression, dating to at least 21000years ago, yet species integrity is maintained by a combination of strong environmental selection and reduced current interspecific gene flow. Twenty loci showed evidence of divergent selection, including six loci that were both F-st outliers and associated with climatic gradients, and fourteen loci that were either outliers or showed associations with climate. These included genes responsible for carbohydrate metabolism, signal transduction and transcription factors.

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