Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP
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/10.1007/s13353-019-00528-5 http://hdl.handle.net/11449/197529 |
Resumo: | Growth traits are important for the profitability of buffalo breeding systems, since in general, these animals are raised both for meat and milk. In this study, the single-step genomic BLUP method was employed to prospect the genomic regions' associated with weight at standard ages of 100, 210, 365, and 550 days in a buffalo population, aiming to identify genes with stronger expression for those characteristics. We found 6, 1, 2, and 5 SNPs significantly associated (p value < 10(-5)) with weight at 100, 210, 365, and 550 days of age, respectively, where those SNPs respectively explained 0.164, 0.040, 0.044, and 0.213% of the additive variance of each trait. SNP AX-85099682 (BBU24) was significant for weight at 100, 210, and 365 days, indicating the existence of a possible QTL affecting the initial growth rate of buffaloes. All told, eight genes (CBLB, TRNAG-UCC, GADD45B, LOC112583811, MGAT4C, KCNMA1, SLC5A2, and TGFB1I1) were identified as candidates for the growth traits of buffaloes. However, molecular and gene expression studies are necessary to validate these genes for subsequent use in programs for genetic improvement of the species. |
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Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUPAnimal breedingBubalus bubalisDevelopmentGWASGrowth traits are important for the profitability of buffalo breeding systems, since in general, these animals are raised both for meat and milk. In this study, the single-step genomic BLUP method was employed to prospect the genomic regions' associated with weight at standard ages of 100, 210, 365, and 550 days in a buffalo population, aiming to identify genes with stronger expression for those characteristics. We found 6, 1, 2, and 5 SNPs significantly associated (p value < 10(-5)) with weight at 100, 210, 365, and 550 days of age, respectively, where those SNPs respectively explained 0.164, 0.040, 0.044, and 0.213% of the additive variance of each trait. SNP AX-85099682 (BBU24) was significant for weight at 100, 210, and 365 days, indicating the existence of a possible QTL affecting the initial growth rate of buffaloes. All told, eight genes (CBLB, TRNAG-UCC, GADD45B, LOC112583811, MGAT4C, KCNMA1, SLC5A2, and TGFB1I1) were identified as candidates for the growth traits of buffaloes. However, molecular and gene expression studies are necessary to validate these genes for subsequent use in programs for genetic improvement of the species.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Inst Fed Goiano, Campus Rio Verde, Rio Verde, BrazilUniv Maryland, College Pk, MD 20742 USAUniv Estadual Paulista, Campus Jaboticabal, Jaboticabal, SP, BrazilFundacao Univ Fed Grande Dourados, Dourados, MS, BrazilUniv Estadual Paulista, Campus Jaboticabal, Jaboticabal, SP, BrazilCNPq: 420202/2016-1FAPESP: 2016/21213-0SpringerInst Fed GoianoUniv MarylandUniversidade Estadual Paulista (Unesp)Fundacao Univ Fed Grande DouradosAraujo Neto, Francisco Ribeiro deAbreu Santos, Daniel Jordan deFernandes Junior, Gerardo Alves [UNESP]Aspilcueta-Borquis, Rusbel Raul [UNESP]Nascimento, Andre Vieira do [UNESP]Seno, Leonardo de OliveiraTonhati, Humberto [UNESP]Oliveira, Henrique Nunes de [UNESP]2020-12-11T01:40:46Z2020-12-11T01:40:46Z2019-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article113-115http://dx.doi.org/10.1007/s13353-019-00528-5Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 61, n. 1, p. 113-115, 2020.1234-1983http://hdl.handle.net/11449/19752910.1007/s13353-019-00528-5WOS:000493487500002Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Applied Geneticsinfo:eu-repo/semantics/openAccess2021-10-23T03:22:05Zoai:repositorio.unesp.br:11449/197529Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T03:22:05Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
title |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
spellingShingle |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP Araujo Neto, Francisco Ribeiro de Animal breeding Bubalus bubalis Development GWAS |
title_short |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
title_full |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
title_fullStr |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
title_full_unstemmed |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
title_sort |
Genome-wide association studies for growth traits in buffaloes using the single step genomic BLUP |
author |
Araujo Neto, Francisco Ribeiro de |
author_facet |
Araujo Neto, Francisco Ribeiro de Abreu Santos, Daniel Jordan de Fernandes Junior, Gerardo Alves [UNESP] Aspilcueta-Borquis, Rusbel Raul [UNESP] Nascimento, Andre Vieira do [UNESP] Seno, Leonardo de Oliveira Tonhati, Humberto [UNESP] Oliveira, Henrique Nunes de [UNESP] |
author_role |
author |
author2 |
Abreu Santos, Daniel Jordan de Fernandes Junior, Gerardo Alves [UNESP] Aspilcueta-Borquis, Rusbel Raul [UNESP] Nascimento, Andre Vieira do [UNESP] Seno, Leonardo de Oliveira Tonhati, Humberto [UNESP] Oliveira, Henrique Nunes de [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Inst Fed Goiano Univ Maryland Universidade Estadual Paulista (Unesp) Fundacao Univ Fed Grande Dourados |
dc.contributor.author.fl_str_mv |
Araujo Neto, Francisco Ribeiro de Abreu Santos, Daniel Jordan de Fernandes Junior, Gerardo Alves [UNESP] Aspilcueta-Borquis, Rusbel Raul [UNESP] Nascimento, Andre Vieira do [UNESP] Seno, Leonardo de Oliveira Tonhati, Humberto [UNESP] Oliveira, Henrique Nunes de [UNESP] |
dc.subject.por.fl_str_mv |
Animal breeding Bubalus bubalis Development GWAS |
topic |
Animal breeding Bubalus bubalis Development GWAS |
description |
Growth traits are important for the profitability of buffalo breeding systems, since in general, these animals are raised both for meat and milk. In this study, the single-step genomic BLUP method was employed to prospect the genomic regions' associated with weight at standard ages of 100, 210, 365, and 550 days in a buffalo population, aiming to identify genes with stronger expression for those characteristics. We found 6, 1, 2, and 5 SNPs significantly associated (p value < 10(-5)) with weight at 100, 210, 365, and 550 days of age, respectively, where those SNPs respectively explained 0.164, 0.040, 0.044, and 0.213% of the additive variance of each trait. SNP AX-85099682 (BBU24) was significant for weight at 100, 210, and 365 days, indicating the existence of a possible QTL affecting the initial growth rate of buffaloes. All told, eight genes (CBLB, TRNAG-UCC, GADD45B, LOC112583811, MGAT4C, KCNMA1, SLC5A2, and TGFB1I1) were identified as candidates for the growth traits of buffaloes. However, molecular and gene expression studies are necessary to validate these genes for subsequent use in programs for genetic improvement of the species. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-01 2020-12-11T01:40:46Z 2020-12-11T01:40:46Z |
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/10.1007/s13353-019-00528-5 Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 61, n. 1, p. 113-115, 2020. 1234-1983 http://hdl.handle.net/11449/197529 10.1007/s13353-019-00528-5 WOS:000493487500002 |
url |
http://dx.doi.org/10.1007/s13353-019-00528-5 http://hdl.handle.net/11449/197529 |
identifier_str_mv |
Journal Of Applied Genetics. Heidelberg: Springer Heidelberg, v. 61, n. 1, p. 113-115, 2020. 1234-1983 10.1007/s13353-019-00528-5 WOS:000493487500002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Applied Genetics |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
113-115 |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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 |
|
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1799965264416079872 |