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Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes

Population level response to hypoxia has become an issue of global significance because of increased frequency and intensity of hypoxic events worldwide, and the potential for global warming to exacerbate hypoxic stress. In this study, we sequenced two nuclear intronic regions and a single mitochond...

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Autores principales: Harniman, Robert, Merritt, Thomas J S, Chapman, Lauren J, Lesbarrères, David, Martinez, Mery L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686186/
https://www.ncbi.nlm.nih.gov/pubmed/23789062
http://dx.doi.org/10.1002/ece3.561
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author Harniman, Robert
Merritt, Thomas J S
Chapman, Lauren J
Lesbarrères, David
Martinez, Mery L
author_facet Harniman, Robert
Merritt, Thomas J S
Chapman, Lauren J
Lesbarrères, David
Martinez, Mery L
author_sort Harniman, Robert
collection PubMed
description Population level response to hypoxia has become an issue of global significance because of increased frequency and intensity of hypoxic events worldwide, and the potential for global warming to exacerbate hypoxic stress. In this study, we sequenced two nuclear intronic regions and a single mitochondrial region across seven populations of the African cyprinid, Barbus neumayeri from two river drainages in Uganda: the Rwembaita Swamp-Njuguta River System and the Dura River. We then examined two indices of population structure, G(ST) and Jost's D, to detect links between oxygen availability and genetic variation and to determine if population genetic structure was associated with (i) dissolved oxygen regime (hypoxia or normoxia), (ii) geographical distance, or (iii) a combination of dissolved oxygen regime and geographical distance. Our results indicate that over a large scale (between drainages), geographical distance significantly affects the genetic structure of populations. However, within a single drainage, dissolved oxygen regime plays a key role in determining the genetic structure of populations. Within the Rwembaita-Njuguta system, gene flow was high between locations of similar oxygen regimes, but low between areas characterized by divergent oxygen regimes. Interestingly, G(ST) analyses appear to yield less realistic measures of population structure than Jost's D, suggesting that caution must be taken when interpreting and comparing the results from different studies. These results support the idea that aquatic dissolved oxygen can act as a selective force limiting gene flow among populations of aquatic species and therefore should be considered when implementing conservation plans and assessing environmental impact of human activities.
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spelling pubmed-36861862013-06-20 Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes Harniman, Robert Merritt, Thomas J S Chapman, Lauren J Lesbarrères, David Martinez, Mery L Ecol Evol Original Research Population level response to hypoxia has become an issue of global significance because of increased frequency and intensity of hypoxic events worldwide, and the potential for global warming to exacerbate hypoxic stress. In this study, we sequenced two nuclear intronic regions and a single mitochondrial region across seven populations of the African cyprinid, Barbus neumayeri from two river drainages in Uganda: the Rwembaita Swamp-Njuguta River System and the Dura River. We then examined two indices of population structure, G(ST) and Jost's D, to detect links between oxygen availability and genetic variation and to determine if population genetic structure was associated with (i) dissolved oxygen regime (hypoxia or normoxia), (ii) geographical distance, or (iii) a combination of dissolved oxygen regime and geographical distance. Our results indicate that over a large scale (between drainages), geographical distance significantly affects the genetic structure of populations. However, within a single drainage, dissolved oxygen regime plays a key role in determining the genetic structure of populations. Within the Rwembaita-Njuguta system, gene flow was high between locations of similar oxygen regimes, but low between areas characterized by divergent oxygen regimes. Interestingly, G(ST) analyses appear to yield less realistic measures of population structure than Jost's D, suggesting that caution must be taken when interpreting and comparing the results from different studies. These results support the idea that aquatic dissolved oxygen can act as a selective force limiting gene flow among populations of aquatic species and therefore should be considered when implementing conservation plans and assessing environmental impact of human activities. Blackwell Publishing Ltd 2013-06 2013-04-17 /pmc/articles/PMC3686186/ /pubmed/23789062 http://dx.doi.org/10.1002/ece3.561 Text en © 2013 Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Research
Harniman, Robert
Merritt, Thomas J S
Chapman, Lauren J
Lesbarrères, David
Martinez, Mery L
Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title_full Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title_fullStr Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title_full_unstemmed Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title_short Population differentiation of the African cyprinid Barbus neumayeri across dissolved oxygen regimes
title_sort population differentiation of the african cyprinid barbus neumayeri across dissolved oxygen regimes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686186/
https://www.ncbi.nlm.nih.gov/pubmed/23789062
http://dx.doi.org/10.1002/ece3.561
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