Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow-Reference-Cited by-同舟云学术

Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow

Author:

Ravinet M.¹²^ORCID,Faria R.³⁴⁵,Butlin R. K.⁵⁶,Galindo J.⁷,Bierne N.⁸,Rafajlović M.⁹^ORCID,Noor M. A. F.¹⁰^ORCID,Mehlig B.⁹,Westram A. M.⁵

Affiliation:

1. Centre for Ecological and Evolutionary Synthesis; University of Oslo; Oslo Norway

2. National Institute of Genetics; Mishima Shizuoka Japan

3. CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos; InBIO, Laboratório Associado; Universidade do Porto; Vairão Portugal

4. Department of Experimental and Health Sciences; IBE, Institute of Evolutionary Biology (CSIC-UPF); Pompeu Fabra University; Barcelona Spain

5. Department of Animal and Plant Sciences; University of Sheffield; Sheffield UK

6. Department of Marine Sciences; Centre for Marine Evolutionary Biology; University of Gothenburg; Gothenburg Sweden

7. Department of Biochemistry, Genetics and Immunology; University of Vigo; Vigo Spain

8. CNRS; Université Montpellier; ISEM; Station Marine Sète France

9. Department of Physics; University of Gothenburg; Gothenburg Sweden

10. Biology Department; Duke University; Durham NC USA

Funder

Japan Society for the Promotion of Science London

Norges Forskningsråd

Fundação para a Ciência e a Tecnologia

European Social Fund

Portuguese Ministério da Educação e Ciência

Xunta de Galicia (Modalidade B)

Natural Environment Research Council

Centre for Marine Evolutionary Biology, University of Gothenburg, Sweden

Adlerbert Research Foundation

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

Reference265 articles.

1. Hybridization and speciation;Abbott;J. Evol. Biol.,2013

2. Population-genomic inference of the strength and timing of selection against gene flow;Aeschbacher;bioRxiv,2016

4. A model-based method for identifying species hybrids using multilocus genetic data;Anderson;Genetics,2002

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