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Population abundance in arctic grayling using genetics and close‐kin mark‐recapture
Arctic Grayling (Thymallus arcticus) are among the most widely distributed and abundant freshwater fish in the Yukon Territory of Canada, yet little information exists regarding their broad and fine‐scale population structures or the number and size of these populations. The estimation of population...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093667/ https://www.ncbi.nlm.nih.gov/pubmed/33976846 http://dx.doi.org/10.1002/ece3.7378 |
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author | Prystupa, Samuel McCracken, Gregory R. Perry, Robert Ruzzante, Daniel E. |
author_facet | Prystupa, Samuel McCracken, Gregory R. Perry, Robert Ruzzante, Daniel E. |
author_sort | Prystupa, Samuel |
collection | PubMed |
description | Arctic Grayling (Thymallus arcticus) are among the most widely distributed and abundant freshwater fish in the Yukon Territory of Canada, yet little information exists regarding their broad and fine‐scale population structures or the number and size of these populations. The estimation of population abundance is fundamental for robust management and conservation, yet estimating abundance in the wild is often difficult. Here, we estimated abundance of an Arctic Grayling population using multiple genetic markers and the close‐kin mark‐recapture (CKMR) method. A total of N = 1,104 Arctic Grayling collected from two systems in Yukon were genotyped at 38 sequenced microsatellites. We first identified structure and assessed genetic diversity (effective population size, [Formula: see text]). Collections from one of the systems (Lubbock River) comprised adults and young‐of‐the‐year sampled independently allowing the identification of parent–offspring pairs (POPs), and thus, the estimation of abundance using CKMR. We used COLONY and CKMRsim to identify POPs and both provided similar results leading to indistinguishable estimates (95% CI) of census size, that is, [Formula: see text] = 1858 (1259–2457) and [Formula: see text] 1812 (1229–2389). The accuracy of the population abundance estimates can in the future be improved with temporal sampling and more precise age or size‐specific fecundity estimates for Arctic Grayling. Our study demonstrates that the method can be used to inform management and conservation policy for Arctic Grayling and likely also for other fish species for which the assumption of random and independent sampling of adults and offspring can be assured. |
format | Online Article Text |
id | pubmed-8093667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80936672021-05-10 Population abundance in arctic grayling using genetics and close‐kin mark‐recapture Prystupa, Samuel McCracken, Gregory R. Perry, Robert Ruzzante, Daniel E. Ecol Evol Original Research Arctic Grayling (Thymallus arcticus) are among the most widely distributed and abundant freshwater fish in the Yukon Territory of Canada, yet little information exists regarding their broad and fine‐scale population structures or the number and size of these populations. The estimation of population abundance is fundamental for robust management and conservation, yet estimating abundance in the wild is often difficult. Here, we estimated abundance of an Arctic Grayling population using multiple genetic markers and the close‐kin mark‐recapture (CKMR) method. A total of N = 1,104 Arctic Grayling collected from two systems in Yukon were genotyped at 38 sequenced microsatellites. We first identified structure and assessed genetic diversity (effective population size, [Formula: see text]). Collections from one of the systems (Lubbock River) comprised adults and young‐of‐the‐year sampled independently allowing the identification of parent–offspring pairs (POPs), and thus, the estimation of abundance using CKMR. We used COLONY and CKMRsim to identify POPs and both provided similar results leading to indistinguishable estimates (95% CI) of census size, that is, [Formula: see text] = 1858 (1259–2457) and [Formula: see text] 1812 (1229–2389). The accuracy of the population abundance estimates can in the future be improved with temporal sampling and more precise age or size‐specific fecundity estimates for Arctic Grayling. Our study demonstrates that the method can be used to inform management and conservation policy for Arctic Grayling and likely also for other fish species for which the assumption of random and independent sampling of adults and offspring can be assured. John Wiley and Sons Inc. 2021-04-02 /pmc/articles/PMC8093667/ /pubmed/33976846 http://dx.doi.org/10.1002/ece3.7378 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Prystupa, Samuel McCracken, Gregory R. Perry, Robert Ruzzante, Daniel E. Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title | Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title_full | Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title_fullStr | Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title_full_unstemmed | Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title_short | Population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
title_sort | population abundance in arctic grayling using genetics and close‐kin mark‐recapture |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093667/ https://www.ncbi.nlm.nih.gov/pubmed/33976846 http://dx.doi.org/10.1002/ece3.7378 |
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