Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.livsci.2019.09.013 http://hdl.handle.net/11449/195032 |
Resumo: | The Montana Tropical (R) Composite beef cattle have been developed in Brazil to serve as a genetic resource to meet the consumers' needs for higher-quality meat while animals are raised in extensive production systems under tropical conditions. In order to optimize the selection process for economically important traits in this population, various genetic and genomic studies are still lacking. In this regard, the aim of this study was to assess genetic parameters and identify genomic regions and potential candidate genes associated with various growth traits, using the single-step Genomic Best Linear Unbiased Predictor (ssGBLUP) method. Approximately 400,000 cows, bulls and progeny had measurements for birth weight (BW), weaning weight (WW), yearling weight (YW) and post-weaning weight gain (WG). A total of 1394 animals were genotyped for 27,199 SNPs (after the quality control) to enable implementation of weighted single-step genome-wide association studies. The traits included in this study were shown to be moderately heritable (i.e. heritability estimates ranging from 0.16 +/- 0.01 to 0.33 +/- 0.04) and the genetic correlations ranged from 0.60 +/- 0.067 (between WW and WG) to 0.88 +/- 0.08 (between BW and WW). Single-trait weighted genome-wide association studies enabled the identification of 83 genomic regions for direct genetic effects (all traits) and 29 genomic regions associated with maternal genetic effects on BW and WW traits. Furthermore, biological processes and pathways associated with survival to adult age, calf behavior, fatty acid metabolism, muscle development, fertility, and immune system were identified. The findings of this study greatly contribute to a better understanding of the genetic architecture of growth traits in the Montana Tropical (R) Composite population. Furthermore, the genomic regions identified can be given more importance (weight) when implementing genomic selection for these traits, by using weighted ssGBLUP or Bayesian approaches. |
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Repositório Institucional da UNESP |
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Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite populationBiological pathwaysCompositeCrossbreedingGrowthGenome-wide associationTropical beef cattleThe Montana Tropical (R) Composite beef cattle have been developed in Brazil to serve as a genetic resource to meet the consumers' needs for higher-quality meat while animals are raised in extensive production systems under tropical conditions. In order to optimize the selection process for economically important traits in this population, various genetic and genomic studies are still lacking. In this regard, the aim of this study was to assess genetic parameters and identify genomic regions and potential candidate genes associated with various growth traits, using the single-step Genomic Best Linear Unbiased Predictor (ssGBLUP) method. Approximately 400,000 cows, bulls and progeny had measurements for birth weight (BW), weaning weight (WW), yearling weight (YW) and post-weaning weight gain (WG). A total of 1394 animals were genotyped for 27,199 SNPs (after the quality control) to enable implementation of weighted single-step genome-wide association studies. The traits included in this study were shown to be moderately heritable (i.e. heritability estimates ranging from 0.16 +/- 0.01 to 0.33 +/- 0.04) and the genetic correlations ranged from 0.60 +/- 0.067 (between WW and WG) to 0.88 +/- 0.08 (between BW and WW). Single-trait weighted genome-wide association studies enabled the identification of 83 genomic regions for direct genetic effects (all traits) and 29 genomic regions associated with maternal genetic effects on BW and WW traits. Furthermore, biological processes and pathways associated with survival to adult age, calf behavior, fatty acid metabolism, muscle development, fertility, and immune system were identified. The findings of this study greatly contribute to a better understanding of the genetic architecture of growth traits in the Montana Tropical (R) Composite population. Furthermore, the genomic regions identified can be given more importance (weight) when implementing genomic selection for these traits, by using weighted ssGBLUP or Bayesian approaches.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Sao Paulo, Fac Zootecnia & Engn Alimentos, Dept Vet Med, Ave Duque de Caxias Norte 225, BR-13635900 Pirassununga, SP, BrazilPurdue Univ, Dept Anim Sci, W Lafayette, IN 47907 USASao Paulo State Univ, Fac Ciencias Agr & Vet, Dept Anim Sci, Jaboticabal, SP, BrazilSao Paulo State Univ, Fac Ciencias Agr & Vet, Dept Anim Sci, Jaboticabal, SP, BrazilFAPESP: 2014/07566-2FAPESP: 2017/11919-6FAPESP: 2018/20393-0Elsevier B.V.Universidade de São Paulo (USP)Purdue UnivUniversidade Estadual Paulista (Unesp)Grigoletto, LaisBrito, Luiz FernandoMattos, Elisangela C.Eler, Joanir PereiraBussiman, Fernando OliveiraAbreu Silva, Barbara da ConceicaoSilva, Rosiane Pereira daCarvalho, Felipe EgutiBerton, Mariana Piatto [UNESP]Baldi, Fernando [UNESP]Sterman Ferraz, Jose Bento2020-12-10T17:02:25Z2020-12-10T17:02:25Z2019-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article64-76http://dx.doi.org/10.1016/j.livsci.2019.09.013Livestock Science. Amsterdam: Elsevier, v. 229, p. 64-76, 2019.1871-1413http://hdl.handle.net/11449/19503210.1016/j.livsci.2019.09.013WOS:000501657100010Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLivestock Scienceinfo:eu-repo/semantics/openAccess2021-10-23T04:16:32Zoai:repositorio.unesp.br:11449/195032Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T04:16:32Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
title |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
spellingShingle |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population Grigoletto, Lais Biological pathways Composite Crossbreeding Growth Genome-wide association Tropical beef cattle |
title_short |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
title_full |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
title_fullStr |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
title_full_unstemmed |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
title_sort |
Genome-wide associations and detection of candidate genes for direct and maternal genetic effects influencing growth traits in the Montana Tropical (R) Composite population |
author |
Grigoletto, Lais |
author_facet |
Grigoletto, Lais Brito, Luiz Fernando Mattos, Elisangela C. Eler, Joanir Pereira Bussiman, Fernando Oliveira Abreu Silva, Barbara da Conceicao Silva, Rosiane Pereira da Carvalho, Felipe Eguti Berton, Mariana Piatto [UNESP] Baldi, Fernando [UNESP] Sterman Ferraz, Jose Bento |
author_role |
author |
author2 |
Brito, Luiz Fernando Mattos, Elisangela C. Eler, Joanir Pereira Bussiman, Fernando Oliveira Abreu Silva, Barbara da Conceicao Silva, Rosiane Pereira da Carvalho, Felipe Eguti Berton, Mariana Piatto [UNESP] Baldi, Fernando [UNESP] Sterman Ferraz, Jose Bento |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Purdue Univ Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Grigoletto, Lais Brito, Luiz Fernando Mattos, Elisangela C. Eler, Joanir Pereira Bussiman, Fernando Oliveira Abreu Silva, Barbara da Conceicao Silva, Rosiane Pereira da Carvalho, Felipe Eguti Berton, Mariana Piatto [UNESP] Baldi, Fernando [UNESP] Sterman Ferraz, Jose Bento |
dc.subject.por.fl_str_mv |
Biological pathways Composite Crossbreeding Growth Genome-wide association Tropical beef cattle |
topic |
Biological pathways Composite Crossbreeding Growth Genome-wide association Tropical beef cattle |
description |
The Montana Tropical (R) Composite beef cattle have been developed in Brazil to serve as a genetic resource to meet the consumers' needs for higher-quality meat while animals are raised in extensive production systems under tropical conditions. In order to optimize the selection process for economically important traits in this population, various genetic and genomic studies are still lacking. In this regard, the aim of this study was to assess genetic parameters and identify genomic regions and potential candidate genes associated with various growth traits, using the single-step Genomic Best Linear Unbiased Predictor (ssGBLUP) method. Approximately 400,000 cows, bulls and progeny had measurements for birth weight (BW), weaning weight (WW), yearling weight (YW) and post-weaning weight gain (WG). A total of 1394 animals were genotyped for 27,199 SNPs (after the quality control) to enable implementation of weighted single-step genome-wide association studies. The traits included in this study were shown to be moderately heritable (i.e. heritability estimates ranging from 0.16 +/- 0.01 to 0.33 +/- 0.04) and the genetic correlations ranged from 0.60 +/- 0.067 (between WW and WG) to 0.88 +/- 0.08 (between BW and WW). Single-trait weighted genome-wide association studies enabled the identification of 83 genomic regions for direct genetic effects (all traits) and 29 genomic regions associated with maternal genetic effects on BW and WW traits. Furthermore, biological processes and pathways associated with survival to adult age, calf behavior, fatty acid metabolism, muscle development, fertility, and immune system were identified. The findings of this study greatly contribute to a better understanding of the genetic architecture of growth traits in the Montana Tropical (R) Composite population. Furthermore, the genomic regions identified can be given more importance (weight) when implementing genomic selection for these traits, by using weighted ssGBLUP or Bayesian approaches. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-01 2020-12-10T17:02:25Z 2020-12-10T17:02:25Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.livsci.2019.09.013 Livestock Science. Amsterdam: Elsevier, v. 229, p. 64-76, 2019. 1871-1413 http://hdl.handle.net/11449/195032 10.1016/j.livsci.2019.09.013 WOS:000501657100010 |
url |
http://dx.doi.org/10.1016/j.livsci.2019.09.013 http://hdl.handle.net/11449/195032 |
identifier_str_mv |
Livestock Science. Amsterdam: Elsevier, v. 229, p. 64-76, 2019. 1871-1413 10.1016/j.livsci.2019.09.013 WOS:000501657100010 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Livestock Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
64-76 |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1803649464801427456 |