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Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome

High density linkage maps are useful tools for fine-scale mapping of quantitative trait loci, and characterization of the recombination landscape of a species’ genome. Genomic resources for Atlantic salmon (Salmo salar) include a well-assembled reference genome, and high density single nucleotide po...

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Autores principales: Tsai, Hsin Y., Robledo, Diego, Lowe, Natalie R., Bekaert, Michael, Taggart, John B., Bron, James E., Houston, Ross D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938670/
https://www.ncbi.nlm.nih.gov/pubmed/27194803
http://dx.doi.org/10.1534/g3.116.029009
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author Tsai, Hsin Y.
Robledo, Diego
Lowe, Natalie R.
Bekaert, Michael
Taggart, John B.
Bron, James E.
Houston, Ross D.
author_facet Tsai, Hsin Y.
Robledo, Diego
Lowe, Natalie R.
Bekaert, Michael
Taggart, John B.
Bron, James E.
Houston, Ross D.
author_sort Tsai, Hsin Y.
collection PubMed
description High density linkage maps are useful tools for fine-scale mapping of quantitative trait loci, and characterization of the recombination landscape of a species’ genome. Genomic resources for Atlantic salmon (Salmo salar) include a well-assembled reference genome, and high density single nucleotide polymorphism (SNP) arrays. Our aim was to create a high density linkage map, and to align it with the reference genome assembly. Over 96,000 SNPs were mapped and ordered on the 29 salmon linkage groups using a pedigreed population comprising 622 fish from 60 nuclear families, all genotyped with the ‘ssalar01’ high density SNP array. The number of SNPs per group showed a high positive correlation with physical chromosome length (r = 0.95). While the order of markers on the genetic and physical maps was generally consistent, areas of discrepancy were identified. Approximately 6.5% of the previously unmapped reference genome sequence was assigned to chromosomes using the linkage map. Male recombination rate was lower than females across the vast majority of the genome, but with a notable peak in subtelomeric regions. Finally, using RNA-Seq data to annotate the reference genome, the mapped SNPs were categorized according to their predicted function, including annotation of ∼2500 putative nonsynonymous variants. The highest density SNP linkage map for any salmonid species has been created, annotated, and integrated with the Atlantic salmon reference genome assembly. This map highlights the marked heterochiasmy of salmon, and provides a useful resource for salmonid genetics and genomics research.
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spelling pubmed-49386702016-07-19 Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome Tsai, Hsin Y. Robledo, Diego Lowe, Natalie R. Bekaert, Michael Taggart, John B. Bron, James E. Houston, Ross D. G3 (Bethesda) Investigations High density linkage maps are useful tools for fine-scale mapping of quantitative trait loci, and characterization of the recombination landscape of a species’ genome. Genomic resources for Atlantic salmon (Salmo salar) include a well-assembled reference genome, and high density single nucleotide polymorphism (SNP) arrays. Our aim was to create a high density linkage map, and to align it with the reference genome assembly. Over 96,000 SNPs were mapped and ordered on the 29 salmon linkage groups using a pedigreed population comprising 622 fish from 60 nuclear families, all genotyped with the ‘ssalar01’ high density SNP array. The number of SNPs per group showed a high positive correlation with physical chromosome length (r = 0.95). While the order of markers on the genetic and physical maps was generally consistent, areas of discrepancy were identified. Approximately 6.5% of the previously unmapped reference genome sequence was assigned to chromosomes using the linkage map. Male recombination rate was lower than females across the vast majority of the genome, but with a notable peak in subtelomeric regions. Finally, using RNA-Seq data to annotate the reference genome, the mapped SNPs were categorized according to their predicted function, including annotation of ∼2500 putative nonsynonymous variants. The highest density SNP linkage map for any salmonid species has been created, annotated, and integrated with the Atlantic salmon reference genome assembly. This map highlights the marked heterochiasmy of salmon, and provides a useful resource for salmonid genetics and genomics research. Genetics Society of America 2016-05-17 /pmc/articles/PMC4938670/ /pubmed/27194803 http://dx.doi.org/10.1534/g3.116.029009 Text en Copyright © 2016 Tsai et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Tsai, Hsin Y.
Robledo, Diego
Lowe, Natalie R.
Bekaert, Michael
Taggart, John B.
Bron, James E.
Houston, Ross D.
Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title_full Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title_fullStr Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title_full_unstemmed Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title_short Construction and Annotation of a High Density SNP Linkage Map of the Atlantic Salmon (Salmo salar) Genome
title_sort construction and annotation of a high density snp linkage map of the atlantic salmon (salmo salar) genome
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938670/
https://www.ncbi.nlm.nih.gov/pubmed/27194803
http://dx.doi.org/10.1534/g3.116.029009
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