Evaluating evidence for co-geography in the


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
09 Nov 2023
Historique:
pubmed: 28 7 2023
medline: 28 7 2023
entrez: 28 7 2023
Statut: epublish

Résumé

The often tight association between parasites and their hosts means that under certain scenarios, the evolutionary histories of the two species can become closely coupled both through time and across space. Using spatial genetic inference, we identify a potential signal of common dispersal patterns in the

Identifiants

pubmed: 37503196
doi: 10.1101/2023.07.17.549405
pmc: PMC10370088
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NHGRI NIH HHS
ID : R01 HG010774
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM148253
Pays : United States

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Auteurs

Clara T Rehmann (CT)

University of Oregon, Institute of Ecology and Evolution and Department of Biology.

Peter L Ralph (PL)

University of Oregon, Institute of Ecology and Evolution and Department of Biology.
University of Oregon, Department of Mathematics.

Andrew D Kern (AD)

University of Oregon, Institute of Ecology and Evolution and Department of Biology.

Classifications MeSH