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Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle

BACKGROUND: Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage di...

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Autores principales: Braz, Camila U., Taylor, Jeremy F., Bresolin, Tiago, Espigolan, Rafael, Feitosa, Fabieli L. B., Carvalheiro, Roberto, Baldi, Fernando, de Albuquerque, Lucia G., de Oliveira, Henrique N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332854/
https://www.ncbi.nlm.nih.gov/pubmed/30642245
http://dx.doi.org/10.1186/s12863-019-0713-4
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author Braz, Camila U.
Taylor, Jeremy F.
Bresolin, Tiago
Espigolan, Rafael
Feitosa, Fabieli L. B.
Carvalheiro, Roberto
Baldi, Fernando
de Albuquerque, Lucia G.
de Oliveira, Henrique N.
author_facet Braz, Camila U.
Taylor, Jeremy F.
Bresolin, Tiago
Espigolan, Rafael
Feitosa, Fabieli L. B.
Carvalheiro, Roberto
Baldi, Fernando
de Albuquerque, Lucia G.
de Oliveira, Henrique N.
author_sort Braz, Camila U.
collection PubMed
description BACKGROUND: Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence meat tenderness. RESULTS: The GWAA using single SNPs identified eight variants influencing meat tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative meat tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in meat tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. CONCLUSIONS: GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0713-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-63328542019-01-23 Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle Braz, Camila U. Taylor, Jeremy F. Bresolin, Tiago Espigolan, Rafael Feitosa, Fabieli L. B. Carvalheiro, Roberto Baldi, Fernando de Albuquerque, Lucia G. de Oliveira, Henrique N. BMC Genet Research Article BACKGROUND: Traditional single nucleotide polymorphism (SNP) genome-wide association analysis (GWAA) can be inefficient because single SNPs provide limited genetic information about genomic regions. On the other hand, using haplotypes in the statistical analysis may increase the extent of linkage disequilibrium (LD) between haplotypes and causal variants and may also potentially capture epistastic interactions between variants within a haplotyped locus, providing an increase in the power and robustness of the association studies. We performed GWAA (413,355 SNP markers) using haplotypes based on variable-sized sliding windows and compared the results to a single-SNP GWAA using Warner-Bratzler shear force measured in the longissimus thorasis muscle of 3161 Nelore bulls to ascertain the optimal window size for identifying the genomic regions that influence meat tenderness. RESULTS: The GWAA using single SNPs identified eight variants influencing meat tenderness on BTA 3, 4, 9, 10 and 11. However, thirty-three putative meat tenderness QTL were detected on BTA 1, 3, 4, 5, 8, 9, 10, 11, 15, 17, 18, 24, 25, 26 and 29 using variable-sized sliding haplotype windows. Analyses using sliding window haplotypes of 3, 5, 7, 9 and 11 SNPs identified 57, 61, 42, 39, and 21% of all thirty-three putative QTL regions, respectively; however, the analyses using the 3 and 5 SNP haplotypes, cumulatively detected 88% of the putative QTL. The genes associated with variation in meat tenderness participate in myogenesis, neurogenesis, lipid and fatty acid metabolism and skeletal muscle structure or composition processes. CONCLUSIONS: GWAA using haplotypes based on variable-sized sliding windows allowed the detection of more QTL than traditional single-SNP GWAA. Analyses using smaller haplotypes (3 and 5 SNPs) detected a higher proportion of the putative QTL. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0713-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-14 /pmc/articles/PMC6332854/ /pubmed/30642245 http://dx.doi.org/10.1186/s12863-019-0713-4 Text en © The Author(s). 2019 Open AccessThis article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Braz, Camila U.
Taylor, Jeremy F.
Bresolin, Tiago
Espigolan, Rafael
Feitosa, Fabieli L. B.
Carvalheiro, Roberto
Baldi, Fernando
de Albuquerque, Lucia G.
de Oliveira, Henrique N.
Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title_full Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title_fullStr Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title_full_unstemmed Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title_short Sliding window haplotype approaches overcome single SNP analysis limitations in identifying genes for meat tenderness in Nelore cattle
title_sort sliding window haplotype approaches overcome single snp analysis limitations in identifying genes for meat tenderness in nelore cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332854/
https://www.ncbi.nlm.nih.gov/pubmed/30642245
http://dx.doi.org/10.1186/s12863-019-0713-4
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