Accommodating sampling location uncertainty in continuous phylogeography.
BEAST
Bayesian inference
continuous phylogeography
host species
sampling precision
virus
Journal
Virus evolution
ISSN: 2057-1577
Titre abrégé: Virus Evol
Pays: England
ID NLM: 101664675
Informations de publication
Date de publication:
2022
2022
Historique:
received:
09
01
2022
revised:
22
04
2022
accepted:
18
05
2022
entrez:
7
7
2022
pubmed:
8
7
2022
medline:
8
7
2022
Statut:
epublish
Résumé
Phylogeographic inference of the dispersal history of viral lineages offers key opportunities to tackle epidemiological questions about the spread of fast-evolving pathogens across human, animal and plant populations. In continuous space, i.e. when locations are specified by longitude and latitude, these reconstructions are however often limited by the availability or accessibility of precise sampling locations required for such spatially explicit analyses. We here review the different approaches that can be considered when genomic sequences are associated with a geographic area of sampling instead of precise coordinates. In particular, we describe and compare the approaches to define homogeneous and heterogeneous prior ranges of sampling coordinates.
Identifiants
pubmed: 35795297
doi: 10.1093/ve/veac041
pii: veac041
pmc: PMC9248920
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
veac041Subventions
Organisme : NIAID NIH HHS
ID : R01 AI153044
Pays : United States
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press.
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