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Accommodating sampling location uncertainty in continuous phylogeography

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,...

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Detalles Bibliográficos
Autores principales: Dellicour, Simon, Lemey, Philippe, Suchard, Marc A, Gilbert, Marius, Baele, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248920/
https://www.ncbi.nlm.nih.gov/pubmed/35795297
http://dx.doi.org/10.1093/ve/veac041
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author Dellicour, Simon
Lemey, Philippe
Suchard, Marc A
Gilbert, Marius
Baele, Guy
author_facet Dellicour, Simon
Lemey, Philippe
Suchard, Marc A
Gilbert, Marius
Baele, Guy
author_sort Dellicour, Simon
collection PubMed
description 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.
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spelling pubmed-92489202022-07-05 Accommodating sampling location uncertainty in continuous phylogeography Dellicour, Simon Lemey, Philippe Suchard, Marc A Gilbert, Marius Baele, Guy Virus Evol Review Article 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. Oxford University Press 2022-05-18 /pmc/articles/PMC9248920/ /pubmed/35795297 http://dx.doi.org/10.1093/ve/veac041 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Review Article
Dellicour, Simon
Lemey, Philippe
Suchard, Marc A
Gilbert, Marius
Baele, Guy
Accommodating sampling location uncertainty in continuous phylogeography
title Accommodating sampling location uncertainty in continuous phylogeography
title_full Accommodating sampling location uncertainty in continuous phylogeography
title_fullStr Accommodating sampling location uncertainty in continuous phylogeography
title_full_unstemmed Accommodating sampling location uncertainty in continuous phylogeography
title_short Accommodating sampling location uncertainty in continuous phylogeography
title_sort accommodating sampling location uncertainty in continuous phylogeography
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248920/
https://www.ncbi.nlm.nih.gov/pubmed/35795297
http://dx.doi.org/10.1093/ve/veac041
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