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Phylogenetics in space: How continuous spatial structure impacts tree inference.
Hancock, Zachary B; Lehmberg, Emma S; Blackmon, Heath.
Afiliação
  • Hancock ZB; Department of Biology at Texas A&M University, College Station, TX 77840, United States; Ecology & Evolutionary Biology IDP at Texas A&M University, College Station, TX 77840, United States; Department of Integrative Biology, Michigan State University, 293 Farm Ln., East Lansing, MI 48825, United States. Electronic address: hancockz@msu.edu.
  • Lehmberg ES; Department of Biology at Texas A&M University, College Station, TX 77840, United States; Ecology & Evolutionary Biology IDP at Texas A&M University, College Station, TX 77840, United States.
  • Blackmon H; Department of Biology at Texas A&M University, College Station, TX 77840, United States; Ecology & Evolutionary Biology IDP at Texas A&M University, College Station, TX 77840, United States.
Mol Phylogenet Evol ; 173: 107505, 2022 08.
Article em En | MEDLINE | ID: mdl-35577296
ABSTRACT
The tendency to discretize biology permeates taxonomy and systematics, leading to models that simplify the often continuous nature of populations. Even when the assumption of panmixia is relaxed, most models still assume some degree of discrete structure. The multispecies coalescent has emerged as a powerful model in phylogenetics, but in its common implementation is entirely space-independent - what we call the "missing z-axis". In this article, we review the many lines of evidence for how continuous spatial structure can impact phylogenetic inference. We illustrate and expand on these by using complex continuous-space demographic models that include distinct modes of speciation. We find that the impact of spatial structure permeates all aspects of phylogenetic inference, including gene tree stoichiometry, topological and branch-length variance, network estimation, and species delimitation. We conclude by utilizing our results to suggest how researchers can identify spatial structure in phylogenetic datasets.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Genéticos Idioma: En Revista: Mol Phylogenet Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Genéticos Idioma: En Revista: Mol Phylogenet Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article