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Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions

As life history diversity plays a critical role in supporting the resilience of exploited populations, understanding the genetic basis of those life history variations is important for conservation management. However, effective application requires a robust understanding of the strength and univers...

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Autores principales: Willis, Stuart C., Hess, Jon E., Fryer, Jeff K., Whiteaker, John M., Brun, Chris, Gerstenberger, Ryan, Narum, Shawn R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691471/
https://www.ncbi.nlm.nih.gov/pubmed/33294026
http://dx.doi.org/10.1111/eva.13088
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author Willis, Stuart C.
Hess, Jon E.
Fryer, Jeff K.
Whiteaker, John M.
Brun, Chris
Gerstenberger, Ryan
Narum, Shawn R.
author_facet Willis, Stuart C.
Hess, Jon E.
Fryer, Jeff K.
Whiteaker, John M.
Brun, Chris
Gerstenberger, Ryan
Narum, Shawn R.
author_sort Willis, Stuart C.
collection PubMed
description As life history diversity plays a critical role in supporting the resilience of exploited populations, understanding the genetic basis of those life history variations is important for conservation management. However, effective application requires a robust understanding of the strength and universality of genetic associations. Here, we examine genetic variation of single nucleotide polymorphisms in genomic regions previously associated with migration phenology and age‐at‐maturity in steelhead (Oncorhynchus mykiss) from the Columbia River. We found chromosome 28 markers (GREB1L, ROCK1 genes) explained significant variance in migration timing in both coastal and inland steelhead. However, strength of association was much greater in coastal than inland steelhead (R (2) 0.51 vs. 0.08), suggesting that genomic background and challenging inland migration pathways may act to moderate effects of this region. Further, we found that chromosome 25 candidate markers (SIX6 gene) were significantly associated with age and size at first return migration for inland steelhead, and this pattern was mediated by sex in a predictable pattern (males R (2) = 0.139–0.170; females R (2) = 0.096–0.111). While this encourages using these candidate regions in predicting life history characteristics, we suggest that stock‐specific associations and haplotype frequencies will be useful in guiding implementation of genetic assays to inform management.
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spelling pubmed-76914712020-12-07 Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions Willis, Stuart C. Hess, Jon E. Fryer, Jeff K. Whiteaker, John M. Brun, Chris Gerstenberger, Ryan Narum, Shawn R. Evol Appl Original Articles As life history diversity plays a critical role in supporting the resilience of exploited populations, understanding the genetic basis of those life history variations is important for conservation management. However, effective application requires a robust understanding of the strength and universality of genetic associations. Here, we examine genetic variation of single nucleotide polymorphisms in genomic regions previously associated with migration phenology and age‐at‐maturity in steelhead (Oncorhynchus mykiss) from the Columbia River. We found chromosome 28 markers (GREB1L, ROCK1 genes) explained significant variance in migration timing in both coastal and inland steelhead. However, strength of association was much greater in coastal than inland steelhead (R (2) 0.51 vs. 0.08), suggesting that genomic background and challenging inland migration pathways may act to moderate effects of this region. Further, we found that chromosome 25 candidate markers (SIX6 gene) were significantly associated with age and size at first return migration for inland steelhead, and this pattern was mediated by sex in a predictable pattern (males R (2) = 0.139–0.170; females R (2) = 0.096–0.111). While this encourages using these candidate regions in predicting life history characteristics, we suggest that stock‐specific associations and haplotype frequencies will be useful in guiding implementation of genetic assays to inform management. John Wiley and Sons Inc. 2020-08-27 /pmc/articles/PMC7691471/ /pubmed/33294026 http://dx.doi.org/10.1111/eva.13088 Text en © 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://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 Articles
Willis, Stuart C.
Hess, Jon E.
Fryer, Jeff K.
Whiteaker, John M.
Brun, Chris
Gerstenberger, Ryan
Narum, Shawn R.
Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title_full Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title_fullStr Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title_full_unstemmed Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title_short Steelhead (Oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
title_sort steelhead (oncorhynchus mykiss) lineages and sexes show variable patterns of association of adult migration timing and age‐at‐maturity traits with two genomic regions
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691471/
https://www.ncbi.nlm.nih.gov/pubmed/33294026
http://dx.doi.org/10.1111/eva.13088
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