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Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography

Species with large geographic distributions often exhibit complex patterns of diversity that can be further complicated by human activities. Cutthroat trout (Oncorhynchus clarkii) are one of the most widely distributed freshwater fish species in western North America exhibiting substantial phenotypi...

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Autores principales: Eaton, Kendra R., Loxterman, Janet L., Keeley, Ernest R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086439/
https://www.ncbi.nlm.nih.gov/pubmed/30096159
http://dx.doi.org/10.1371/journal.pone.0202043
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author Eaton, Kendra R.
Loxterman, Janet L.
Keeley, Ernest R.
author_facet Eaton, Kendra R.
Loxterman, Janet L.
Keeley, Ernest R.
author_sort Eaton, Kendra R.
collection PubMed
description Species with large geographic distributions often exhibit complex patterns of diversity that can be further complicated by human activities. Cutthroat trout (Oncorhynchus clarkii) are one of the most widely distributed freshwater fish species in western North America exhibiting substantial phenotypic and genetic variability; however, fish stocking practices have translocated populations outside of their native range and may have obscured intraspecific boundaries. This study focuses on cutthroat trout populations representing three distinct evolutionary clades that are found intermixed within a contact zone between the Bonneville and upper Snake River watersheds in the western United States. We used mitochondrial and microsatellite genetic data, as well as historical stocking records, to evaluate whether populations of cutthroat trout in the contact zone are native or are introduced. We found significant genetic differentiation and fine-scale genetic population structure that was organized primarily by watershed boundaries. While we detected increased genetic diversity in some areas in close proximity to the greatest number of stocking events, the highly organized population structure both within and between areas of the contact zone indicates that the populations are native to the watersheds. Intermixing of distinct evolutionary lineages of cutthroat trout appears to be the result of historical connections between paleodrainages. Our analyses provide a context for understanding how genetic data can be used to assess the status of populations as native or introduced.
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spelling pubmed-60864392018-08-28 Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography Eaton, Kendra R. Loxterman, Janet L. Keeley, Ernest R. PLoS One Research Article Species with large geographic distributions often exhibit complex patterns of diversity that can be further complicated by human activities. Cutthroat trout (Oncorhynchus clarkii) are one of the most widely distributed freshwater fish species in western North America exhibiting substantial phenotypic and genetic variability; however, fish stocking practices have translocated populations outside of their native range and may have obscured intraspecific boundaries. This study focuses on cutthroat trout populations representing three distinct evolutionary clades that are found intermixed within a contact zone between the Bonneville and upper Snake River watersheds in the western United States. We used mitochondrial and microsatellite genetic data, as well as historical stocking records, to evaluate whether populations of cutthroat trout in the contact zone are native or are introduced. We found significant genetic differentiation and fine-scale genetic population structure that was organized primarily by watershed boundaries. While we detected increased genetic diversity in some areas in close proximity to the greatest number of stocking events, the highly organized population structure both within and between areas of the contact zone indicates that the populations are native to the watersheds. Intermixing of distinct evolutionary lineages of cutthroat trout appears to be the result of historical connections between paleodrainages. Our analyses provide a context for understanding how genetic data can be used to assess the status of populations as native or introduced. Public Library of Science 2018-08-10 /pmc/articles/PMC6086439/ /pubmed/30096159 http://dx.doi.org/10.1371/journal.pone.0202043 Text en © 2018 Eaton 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eaton, Kendra R.
Loxterman, Janet L.
Keeley, Ernest R.
Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title_full Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title_fullStr Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title_full_unstemmed Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title_short Connections and containers: Using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
title_sort connections and containers: using genetic data to understand how watershed evolution and human activities influence cutthroat trout biogeography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6086439/
https://www.ncbi.nlm.nih.gov/pubmed/30096159
http://dx.doi.org/10.1371/journal.pone.0202043
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