Accounting for spatial sampling patterns in Bayesian phylogeography.
Proc Natl Acad Sci U S A
; 118(52)2021 12 28.
Article
em En
| MEDLINE
| ID: mdl-34930835
ABSTRACT
Statistical phylogeography provides useful tools to characterize and quantify the spread of organisms during the course of evolution. Analyzing georeferenced genetic data often relies on the assumption that samples are preferentially collected in densely populated areas of the habitat. Deviation from this assumption negatively impacts the inference of the spatial and demographic dynamics. This issue is pervasive in phylogeography. It affects analyses that approximate the habitat as a set of discrete demes as well as those that treat it as a continuum. The present study introduces a Bayesian modeling approach that explicitly accommodates for spatial sampling strategies. An original inference technique, based on recent advances in statistical computing, is then described that is most suited to modeling data where sequences are preferentially collected at certain locations, independently of the outcome of the evolutionary process. The analysis of georeferenced genetic sequences from the West Nile virus in North America along with simulated data shows how assumptions about spatial sampling may impact our understanding of the forces shaping biodiversity across time and space.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Dinâmica Populacional
/
Modelos Estatísticos
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Filogeografia
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
País como assunto:
America do norte
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article