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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2017-06, Vol.12 (6), p.e0179076-e0179076
Hauptverfasser: 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
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0179076
container_issue 6
container_start_page e0179076
container_title PloS one
container_volume 12
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.
doi_str_mv 10.1371/journal.pone.0179076
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1907227581</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A494688593</galeid><doaj_id>oai_doaj_org_article_bf02e51a812f4781ab88e2ce29229ab5</doaj_id><sourcerecordid>A494688593</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-635db51d883b1ae3f04abf52c82f71a5ac5c5152849802bb743af8a0093a35a43</originalsourceid><addsrcrecordid>eNqNkl2LEzEUhgdR3A_9B6IDguhFaz4mmcyNsCy6FhYX_LoNZzJJm5JOapIR--83tbNLR_ZCcpGQPOc9Oee8RfECozmmNX6_9kPowc23vtdzhOsG1fxRcYobSmacIPr46HxSnMW4RohRwfnT4oQI1mDM69MCX-neb6wqIWvtoo2lN2VMsIPWOpt2pe3LL9o5H3SpICWnnxVPDLion4_7efHj08fvl59n1zdXi8uL65niDUkzTlnXMtwJQVsMmhpUQWsYUYKYGgMDxRTDjIiqEYi0bV1RMAIQaihQBhU9L14ddLfORzlWGyXOdRJSM4EzsTgQnYe13Aa7gbCTHqz8e-HDUkJIVjktW4OIZhgEJqaqBYZWCE2UJg0hDbQsa30Ysw3tRndK9ymAm4hOX3q7kkv_W7KKkwqRLPB2FAj-16BjkhsbVe4c9NoPh39TQjmlGX39D_pwdSO1hFyA7Y3PedVeVF5UTcVFnuFea_4AlVen81SzNYzN95OAd5OAzCT9Jy1hiFEuvn39f_bm55R9c8SuNLi0it4Nyfo-TsHqAKrgYwza3DcZI7l39l035N7ZcnR2Dnt5PKD7oDsr01sU4fFv</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1907227581</pqid></control><display><type>article</type><title>Genomic analysis of stayability in Nellore cattle</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><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</creator><contributor>Zhang, Qin</contributor><creatorcontrib>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 ; Zhang, Qin</creatorcontrib><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><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 inference</subject><subject>Transcription</subject><subject>Variance</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2LEzEUhgdR3A_9B6IDguhFaz4mmcyNsCy6FhYX_LoNZzJJm5JOapIR--83tbNLR_ZCcpGQPOc9Oee8RfECozmmNX6_9kPowc23vtdzhOsG1fxRcYobSmacIPr46HxSnMW4RohRwfnT4oQI1mDM69MCX-neb6wqIWvtoo2lN2VMsIPWOpt2pe3LL9o5H3SpICWnnxVPDLion4_7efHj08fvl59n1zdXi8uL65niDUkzTlnXMtwJQVsMmhpUQWsYUYKYGgMDxRTDjIiqEYi0bV1RMAIQaihQBhU9L14ddLfORzlWGyXOdRJSM4EzsTgQnYe13Aa7gbCTHqz8e-HDUkJIVjktW4OIZhgEJqaqBYZWCE2UJg0hDbQsa30Ysw3tRndK9ymAm4hOX3q7kkv_W7KKkwqRLPB2FAj-16BjkhsbVe4c9NoPh39TQjmlGX39D_pwdSO1hFyA7Y3PedVeVF5UTcVFnuFea_4AlVen81SzNYzN95OAd5OAzCT9Jy1hiFEuvn39f_bm55R9c8SuNLi0it4Nyfo-TsHqAKrgYwza3DcZI7l39l035N7ZcnR2Dnt5PKD7oDsr01sU4fFv</recordid><startdate>20170607</startdate><enddate>20170607</enddate><creator>Barreto Amaral Teixeira, Daniela</creator><creator>Alves Fernandes Júnior, Gerardo</creator><creator>Beraldo Dos Santos Silva, Danielly</creator><creator>Bermal Costa, Raphael</creator><creator>Takada, Luciana</creator><creator>Gustavo Mansan Gordo, Daniel</creator><creator>Bresolin, Tiago</creator><creator>Carvalheiro, Roberto</creator><creator>Baldi, Fernando</creator><creator>Galvão de Albuquerque, Lucia</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0391-003X</orcidid></search><sort><creationdate>20170607</creationdate><title>Genomic 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 system</topic><topic>Chromosomes</topic><topic>Density</topic><topic>Economics</topic><topic>Female</topic><topic>Females</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genome</topic><topic>Genomes</topic><topic>Genomic analysis</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Growth factors</topic><topic>Growth hormones</topic><topic>Heritability</topic><topic>Immunology</topic><topic>Mathematical models</topic><topic>Medicine and Health Sciences</topic><topic>Models, Genetic</topic><topic>Nervous system</topic><topic>Ovarian cancer</topic><topic>Parameter estimation</topic><topic>Parameter identification</topic><topic>Pedigree</topic><topic>Phenotype</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Pregnancy</topic><topic>Profitability</topic><topic>Reproduction - genetics</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Statistical inference</topic><topic>Transcription</topic><topic>Variance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barreto Amaral Teixeira, Daniela</au><au>Alves Fernandes Júnior, Gerardo</au><au>Beraldo Dos Santos Silva, Danielly</au><au>Bermal Costa, Raphael</au><au>Takada, Luciana</au><au>Gustavo Mansan Gordo, Daniel</au><au>Bresolin, Tiago</au><au>Carvalheiro, Roberto</au><au>Baldi, Fernando</au><au>Galvão de Albuquerque, Lucia</au><au>Zhang, Qin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genomic analysis of stayability in Nellore 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>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2017-06, Vol.12 (6), p.e0179076-e0179076
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1907227581
source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
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