Genomic analysis of stayability in Nellore cattle
Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify po...
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creator | Barreto Amaral Teixeira, Daniela Alves Fernandes Júnior, Gerardo Beraldo Dos Santos Silva, Danielly Bermal Costa, Raphael Takada, Luciana Gustavo Mansan Gordo, Daniel Bresolin, Tiago Carvalheiro, Roberto Baldi, Fernando Galvão de Albuquerque, Lucia |
description | Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions. |
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The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0179076</identifier><identifier>PMID: 28591167</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Analysis ; Animals ; Bayes Theorem ; Bayesian analysis ; Beef ; Beef cattle ; Biology and Life Sciences ; Breeding ; Cattle ; Central nervous system ; Chromosomes ; Density ; Economics ; Female ; Females ; Gene expression ; Genes ; Genetic aspects ; Genome ; Genomes ; Genomic analysis ; Genomics ; Genotype ; Growth factors ; Growth hormones ; Heritability ; Immunology ; Mathematical models ; Medicine and Health Sciences ; Models, Genetic ; Nervous system ; Ovarian cancer ; Parameter estimation ; Parameter identification ; Pedigree ; Phenotype ; Polymorphism, Single Nucleotide - genetics ; Pregnancy ; Profitability ; Reproduction - genetics ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Statistical inference ; Transcription ; Variance</subject><ispartof>PloS one, 2017-06, Vol.12 (6), p.e0179076-e0179076</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Barreto Amaral Teixeira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Barreto Amaral Teixeira et al 2017 Barreto Amaral Teixeira et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-635db51d883b1ae3f04abf52c82f71a5ac5c5152849802bb743af8a0093a35a43</citedby><cites>FETCH-LOGICAL-c692t-635db51d883b1ae3f04abf52c82f71a5ac5c5152849802bb743af8a0093a35a43</cites><orcidid>0000-0002-0391-003X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462402/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462402/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28591167$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Qin</contributor><creatorcontrib>Barreto Amaral Teixeira, Daniela</creatorcontrib><creatorcontrib>Alves Fernandes Júnior, Gerardo</creatorcontrib><creatorcontrib>Beraldo Dos Santos Silva, Danielly</creatorcontrib><creatorcontrib>Bermal Costa, Raphael</creatorcontrib><creatorcontrib>Takada, Luciana</creatorcontrib><creatorcontrib>Gustavo Mansan Gordo, Daniel</creatorcontrib><creatorcontrib>Bresolin, Tiago</creatorcontrib><creatorcontrib>Carvalheiro, Roberto</creatorcontrib><creatorcontrib>Baldi, Fernando</creatorcontrib><creatorcontrib>Galvão de Albuquerque, Lucia</creatorcontrib><title>Genomic analysis of stayability in Nellore cattle</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions.</description><subject>Age</subject><subject>Analysis</subject><subject>Animals</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Beef</subject><subject>Beef cattle</subject><subject>Biology and Life Sciences</subject><subject>Breeding</subject><subject>Cattle</subject><subject>Central nervous system</subject><subject>Chromosomes</subject><subject>Density</subject><subject>Economics</subject><subject>Female</subject><subject>Females</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genome</subject><subject>Genomes</subject><subject>Genomic analysis</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Growth factors</subject><subject>Growth hormones</subject><subject>Heritability</subject><subject>Immunology</subject><subject>Mathematical models</subject><subject>Medicine and Health Sciences</subject><subject>Models, Genetic</subject><subject>Nervous system</subject><subject>Ovarian cancer</subject><subject>Parameter estimation</subject><subject>Parameter identification</subject><subject>Pedigree</subject><subject>Phenotype</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Pregnancy</subject><subject>Profitability</subject><subject>Reproduction - genetics</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Statistical 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analysis of stayability in Nellore cattle</title><author>Barreto Amaral Teixeira, Daniela ; Alves Fernandes Júnior, Gerardo ; Beraldo Dos Santos Silva, Danielly ; Bermal Costa, Raphael ; Takada, Luciana ; Gustavo Mansan Gordo, Daniel ; Bresolin, Tiago ; Carvalheiro, Roberto ; Baldi, Fernando ; Galvão de Albuquerque, Lucia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-635db51d883b1ae3f04abf52c82f71a5ac5c5152849802bb743af8a0093a35a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Age</topic><topic>Analysis</topic><topic>Animals</topic><topic>Bayes Theorem</topic><topic>Bayesian analysis</topic><topic>Beef</topic><topic>Beef cattle</topic><topic>Biology and Life Sciences</topic><topic>Breeding</topic><topic>Cattle</topic><topic>Central nervous 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cattle</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-06-07</date><risdate>2017</risdate><volume>12</volume><issue>6</issue><spage>e0179076</spage><epage>e0179076</epage><pages>e0179076-e0179076</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28591167</pmid><doi>10.1371/journal.pone.0179076</doi><tpages>e0179076</tpages><orcidid>https://orcid.org/0000-0002-0391-003X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Analysis Animals Bayes Theorem Bayesian analysis Beef Beef cattle Biology and Life Sciences Breeding Cattle Central nervous system Chromosomes Density Economics Female Females Gene expression Genes Genetic aspects Genome Genomes Genomic analysis Genomics Genotype Growth factors Growth hormones Heritability Immunology Mathematical models Medicine and Health Sciences Models, Genetic Nervous system Ovarian cancer Parameter estimation Parameter identification Pedigree Phenotype Polymorphism, Single Nucleotide - genetics Pregnancy Profitability Reproduction - genetics Single nucleotide polymorphisms Single-nucleotide polymorphism Statistical inference Transcription Variance |
title | Genomic analysis of stayability in Nellore cattle |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T05%3A50%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genomic%20analysis%20of%20stayability%20in%20Nellore%20cattle&rft.jtitle=PloS%20one&rft.au=Barreto%20Amaral%20Teixeira,%20Daniela&rft.date=2017-06-07&rft.volume=12&rft.issue=6&rft.spage=e0179076&rft.epage=e0179076&rft.pages=e0179076-e0179076&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0179076&rft_dat=%3Cgale_plos_%3EA494688593%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1907227581&rft_id=info:pmid/28591167&rft_galeid=A494688593&rft_doaj_id=oai_doaj_org_article_bf02e51a812f4781ab88e2ce29229ab5&rfr_iscdi=true |