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Digest: Species delimitation in the face of demographic processes *
Author(s) -
Peede David,
D'Agostino Emmanuel,
Ottenburghs Jente
Publication year - 2020
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.13919
Subject(s) - biology , gene flow , divergence (linguistics) , inference , taxon , evolutionary biology , population , face (sociological concept) , ecology , gene , artificial intelligence , genetic variation , genetics , computer science , demography , sociology , social science , linguistics , philosophy
Existing approaches to species delimitation use the extent of divergence between taxa. However, processes, such as gene flow during divergence or secondary contact, as well as population expansion and migration, complicate this task. Smith and Carstens introduce the R package delimitR , which uses machine learning to integrate gene flow into species delimitation inference.