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Understanding the origin of species with genome-scale data: modelling gene flow
Vitor Sousa; Jody Hey
2013
Source PublicationNature Reviews Genetics
Volume14Issue:xPages:404-414
Abstract

As it becomes easier to sequence multiple genomes from closely related species, evolutionary biologists working on speciation are struggling to get the most out of very large population genomic data sets. Such data hold the potential to resolve long-standing questions in evolutionary biology about the role of gene exchange in species formation. In principle, the new population genomic data can be used to disentangle the conflicting roles of natural selection and gene flow during the divergence process. However, there are great challenges in taking full advantage of such data, especially with regard to including recombination in genetic models of the divergence process. Current data, models, methods and the potential pitfalls in using them will be considered here.

Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/4656
Collection文献共享
Recommended Citation
GB/T 7714
Vitor Sousa,Jody Hey. Understanding the origin of species with genome-scale data: modelling gene flow[J]. Nature Reviews Genetics,2013,14(x):404-414.
APA Vitor Sousa,&Jody Hey.(2013).Understanding the origin of species with genome-scale data: modelling gene flow.Nature Reviews Genetics,14(x),404-414.
MLA Vitor Sousa,et al."Understanding the origin of species with genome-scale data: modelling gene flow".Nature Reviews Genetics 14.x(2013):404-414.
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