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The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis
Insect pest phylogeography might be shaped both by biogeographic events and by human influence. Here, we conducted an approximate Bayesian computation (ABC) analysis to investigate the phylogeography of the New World screwworm fly, Cochliomyia hominivorax, with the aim of understanding its populatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788763/ https://www.ncbi.nlm.nih.gov/pubmed/24098436 http://dx.doi.org/10.1371/journal.pone.0076168 |
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author | Fresia, Pablo Azeredo-Espin, Ana Maria L. Lyra, Mariana L. |
author_facet | Fresia, Pablo Azeredo-Espin, Ana Maria L. Lyra, Mariana L. |
author_sort | Fresia, Pablo |
collection | PubMed |
description | Insect pest phylogeography might be shaped both by biogeographic events and by human influence. Here, we conducted an approximate Bayesian computation (ABC) analysis to investigate the phylogeography of the New World screwworm fly, Cochliomyia hominivorax, with the aim of understanding its population history and its order and time of divergence. Our ABC analysis supports that populations spread from North to South in the Americas, in at least two different moments. The first split occurred between the North/Central American and South American populations in the end of the Last Glacial Maximum (15,300-19,000 YBP). The second split occurred between the North and South Amazonian populations in the transition between the Pleistocene and the Holocene eras (9,100-11,000 YBP). The species also experienced population expansion. Phylogenetic analysis likewise suggests this north to south colonization and Maxent models suggest an increase in the number of suitable areas in South America from the past to present. We found that the phylogeographic patterns observed in C. hominivorax cannot be explained only by climatic oscillations and can be connected to host population histories. Interestingly we found these patterns are very coincident with general patterns of ancient human movements in the Americas, suggesting that humans might have played a crucial role in shaping the distribution and population structure of this insect pest. This work presents the first hypothesis test regarding the processes that shaped the current phylogeographic structure of C. hominivorax and represents an alternate perspective on investigating the problem of insect pests. |
format | Online Article Text |
id | pubmed-3788763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37887632013-10-04 The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis Fresia, Pablo Azeredo-Espin, Ana Maria L. Lyra, Mariana L. PLoS One Research Article Insect pest phylogeography might be shaped both by biogeographic events and by human influence. Here, we conducted an approximate Bayesian computation (ABC) analysis to investigate the phylogeography of the New World screwworm fly, Cochliomyia hominivorax, with the aim of understanding its population history and its order and time of divergence. Our ABC analysis supports that populations spread from North to South in the Americas, in at least two different moments. The first split occurred between the North/Central American and South American populations in the end of the Last Glacial Maximum (15,300-19,000 YBP). The second split occurred between the North and South Amazonian populations in the transition between the Pleistocene and the Holocene eras (9,100-11,000 YBP). The species also experienced population expansion. Phylogenetic analysis likewise suggests this north to south colonization and Maxent models suggest an increase in the number of suitable areas in South America from the past to present. We found that the phylogeographic patterns observed in C. hominivorax cannot be explained only by climatic oscillations and can be connected to host population histories. Interestingly we found these patterns are very coincident with general patterns of ancient human movements in the Americas, suggesting that humans might have played a crucial role in shaping the distribution and population structure of this insect pest. This work presents the first hypothesis test regarding the processes that shaped the current phylogeographic structure of C. hominivorax and represents an alternate perspective on investigating the problem of insect pests. Public Library of Science 2013-10-02 /pmc/articles/PMC3788763/ /pubmed/24098436 http://dx.doi.org/10.1371/journal.pone.0076168 Text en © 2013 Fresia et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Fresia, Pablo Azeredo-Espin, Ana Maria L. Lyra, Mariana L. The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title | The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title_full | The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title_fullStr | The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title_full_unstemmed | The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title_short | The Phylogeographic History of the New World Screwworm Fly, Inferred by Approximate Bayesian Computation Analysis |
title_sort | phylogeographic history of the new world screwworm fly, inferred by approximate bayesian computation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788763/ https://www.ncbi.nlm.nih.gov/pubmed/24098436 http://dx.doi.org/10.1371/journal.pone.0076168 |
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