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Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina
Fasciola hepatica, the liver fluke, is a trematode parasite that causes disease of economic importance in livestock. As a zoonosis this parasite also poses a risk to human health in areas where it is endemic. Population genetic studies can reveal the mechanisms responsible for genetic structuring (n...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113023/ https://www.ncbi.nlm.nih.gov/pubmed/33581141 http://dx.doi.org/10.1016/j.ijpara.2020.11.007 |
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author | Beesley, Nicola J. Attree, Elizabeth Vázquez-Prieto, Severo Vilas, Román Paniagua, Esperanza Ubeira, Florencio M. Jensen, Oscar Pruzzo, Cesar Álvarez, José D. Malandrini, Jorge Bruno Solana, Hugo Hodgkinson, Jane E. |
author_facet | Beesley, Nicola J. Attree, Elizabeth Vázquez-Prieto, Severo Vilas, Román Paniagua, Esperanza Ubeira, Florencio M. Jensen, Oscar Pruzzo, Cesar Álvarez, José D. Malandrini, Jorge Bruno Solana, Hugo Hodgkinson, Jane E. |
author_sort | Beesley, Nicola J. |
collection | PubMed |
description | Fasciola hepatica, the liver fluke, is a trematode parasite that causes disease of economic importance in livestock. As a zoonosis this parasite also poses a risk to human health in areas where it is endemic. Population genetic studies can reveal the mechanisms responsible for genetic structuring (non-panmixia) within parasite populations and provide valuable insights into population dynamics, which in turn enables theoretical predictions of evolutionary dynamics such as the evolution of drug resistance. Here we genotyped 320 F. hepatica collected from 14 definitive hosts from four provinces in Argentina. STRUCTURE analysis indicated three population clusters, and principal coordinate analysis confirmed this, showing population clustering across provinces. Similarly, pairwise F(ST) values amongst all four provinces were significant, with standardised pairwise F(ST) (F′(ST)) ranging from 0.0754 to 0.6327. Therefore, population genetic structure was evident across these four provinces in Argentina. However, there was no evidence of deviation from Hardy–Weinberg equilibrium, so it appears that within these sub-populations there is largely random mating. We identified 263 unique genotypes, which gave a clonal diversity of 82%. Parasites with identical genotypes, clones, accounted for 26.6% of the parasites studied and were found in 12 of the 14 hosts studied, suggesting some clonemate transmission. |
format | Online Article Text |
id | pubmed-8113023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81130232021-05-18 Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina Beesley, Nicola J. Attree, Elizabeth Vázquez-Prieto, Severo Vilas, Román Paniagua, Esperanza Ubeira, Florencio M. Jensen, Oscar Pruzzo, Cesar Álvarez, José D. Malandrini, Jorge Bruno Solana, Hugo Hodgkinson, Jane E. Int J Parasitol Article Fasciola hepatica, the liver fluke, is a trematode parasite that causes disease of economic importance in livestock. As a zoonosis this parasite also poses a risk to human health in areas where it is endemic. Population genetic studies can reveal the mechanisms responsible for genetic structuring (non-panmixia) within parasite populations and provide valuable insights into population dynamics, which in turn enables theoretical predictions of evolutionary dynamics such as the evolution of drug resistance. Here we genotyped 320 F. hepatica collected from 14 definitive hosts from four provinces in Argentina. STRUCTURE analysis indicated three population clusters, and principal coordinate analysis confirmed this, showing population clustering across provinces. Similarly, pairwise F(ST) values amongst all four provinces were significant, with standardised pairwise F(ST) (F′(ST)) ranging from 0.0754 to 0.6327. Therefore, population genetic structure was evident across these four provinces in Argentina. However, there was no evidence of deviation from Hardy–Weinberg equilibrium, so it appears that within these sub-populations there is largely random mating. We identified 263 unique genotypes, which gave a clonal diversity of 82%. Parasites with identical genotypes, clones, accounted for 26.6% of the parasites studied and were found in 12 of the 14 hosts studied, suggesting some clonemate transmission. Elsevier Science 2021-05 /pmc/articles/PMC8113023/ /pubmed/33581141 http://dx.doi.org/10.1016/j.ijpara.2020.11.007 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Beesley, Nicola J. Attree, Elizabeth Vázquez-Prieto, Severo Vilas, Román Paniagua, Esperanza Ubeira, Florencio M. Jensen, Oscar Pruzzo, Cesar Álvarez, José D. Malandrini, Jorge Bruno Solana, Hugo Hodgkinson, Jane E. Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title | Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title_full | Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title_fullStr | Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title_full_unstemmed | Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title_short | Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina |
title_sort | evidence of population structuring following population genetic analyses of fasciola hepatica from argentina |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8113023/ https://www.ncbi.nlm.nih.gov/pubmed/33581141 http://dx.doi.org/10.1016/j.ijpara.2020.11.007 |
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