| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Meio Ambiente. |
|
Data corrente: |
22/01/2025 |
|
Data da última atualização: |
22/01/2025 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SOUZA, L. L.; DOMINGUES-CASTAÑO, P.; GIANVECCHIO, S. B.; SAKAMOTO, L. S.; RODRIGUES, G. R. D.; SOARES, T. L. da S.; BONILHA, S. F. M.; SANTOS, J. de O.; ALBUQUERQUE, L. G. de; SILVA, J. A. I. de V.; MERCADANTE, M. E. Z. |
|
Afiliação: |
LUANA LELIS SOUZA, UNIVERSIDADE ESTADUAL PAULISTA; PABLO DOMINGUEZ-CASTAÑO, FUNDACIÓN UNIVERSITARIA AGRARIA DE COLOMBIA-; SARAH BERNARDES GIANVECCHIO, INSTITUTO DE ZOOTECNIA; LEANDRO SANNOMIYA SAKAMOTO, INSTITUTO DE ZOOTECNIA; GUSTAVO ROBERTO DIAS RODRIGUES, UNIVERSIDADE ESTADUAL PAULISTA; TAINARA LUANA DA SILVA SOARES, UNIVERSIDADE ESTADUAL PAULISTA; SARAH FIGUEIREDO MARTINS BONILHA, CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO; JULIANA DE OLIVEIRA SANTOS MARCATTO, CNPMA; LUCIA GALVÃO ALBUQUERQUE, UNIVERSIDADE ESTADUAL PAULISTA; JOSINEUDSON AUGUSTO II VASCONCELOS SILVA, UNIVERSIDADE ESTADUAL PAULISTA; MARIA EUGÊNIA ZERLOTTI MERCADANTE, UNIVERSIDADE ESTADUAL PAULISTA. |
|
Título: |
Heritability estimates and genome-wide association study of methane emission traits in Nellore cattle. |
|
Ano de publicação: |
2024 |
|
Fonte/Imprenta: |
Journal of Animal Science, v. 102, skae 82, 2024. |
|
DOI: |
https://doi.org/10.1093/jas/skae182 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract: The objectives of the present study were to estimate the heritability for daily methane emission (CH4 ) and residual daily methane emission (CH4 res) in Nellore cattle, as well as to perform genome-wide association studies (GWAS) to identify genomic regions and candidate genes influencing the genetic variation of CH4 and CH4 res. Methane emission phenotypes of 743 Nellore animals belonging to 3 breeding programs were evaluated. CH4 was measured using the sulfur hexafluoride (SF6 ) tracer technique (which involves an SF6 permeation tube introduced into the rumen, and an appropriate apparatus on each animal), and CH4 res was obtained as the difference between observed CH4 and CH4 adjusted for dry matter intake. A total of 6,252 genotyped individuals were used for genomic analyses. Data were analyzed with a univariate animal model by the single-step GBLUP method using the average information restricted maximum likelihood (AIREML) algorithm. The effects of single nucleotide polymorphisms (SNPs) were obtained using a single-step GWAS approach. Candidate genes were identified based on genomic windows associated with quantitative trait loci (QTLs) related to the 2 traits. Annotation of QTLs and identification of candidate genes were based on the initial and final coordinates of each genomic window considering the bovine genome ARS-UCD1.2 assembly. Heritability estimates were of moderate to high magnitude, being 0.42 ± 0.09 for CH4 and 0.21 ± 0.09 for CH4 res, indicating that these traits will respond rapidly to genetic selection. GWAS revealed 11 and 15 SNPs that were significantly associated (P < 10−6) with genetic variation of CH4 and CH4 res, respectively. QTLs associated with feed efficiency, residual feed intake, body weight, and height overlapped with significant markers for the traits evaluated. Ten candidate genes were present in the regions of significant SNPs; 3 were associated with CH4 and 7 with CH4 res. The identified genes are related to different functions such as modulation of the rumen microbiota, fatty acid production, and lipid metabolism. CH4 and CH4res presented sufficient genetic variation and may respond rapidly to selection. Therefore, these traits can be included in animal breeding programs aimed at reducing enteric methane emissions across generations. MenosAbstract: The objectives of the present study were to estimate the heritability for daily methane emission (CH4 ) and residual daily methane emission (CH4 res) in Nellore cattle, as well as to perform genome-wide association studies (GWAS) to identify genomic regions and candidate genes influencing the genetic variation of CH4 and CH4 res. Methane emission phenotypes of 743 Nellore animals belonging to 3 breeding programs were evaluated. CH4 was measured using the sulfur hexafluoride (SF6 ) tracer technique (which involves an SF6 permeation tube introduced into the rumen, and an appropriate apparatus on each animal), and CH4 res was obtained as the difference between observed CH4 and CH4 adjusted for dry matter intake. A total of 6,252 genotyped individuals were used for genomic analyses. Data were analyzed with a univariate animal model by the single-step GBLUP method using the average information restricted maximum likelihood (AIREML) algorithm. The effects of single nucleotide polymorphisms (SNPs) were obtained using a single-step GWAS approach. Candidate genes were identified based on genomic windows associated with quantitative trait loci (QTLs) related to the 2 traits. Annotation of QTLs and identification of candidate genes were based on the initial and final coordinates of each genomic window considering the bovine genome ARS-UCD1.2 assembly. Heritability estimates were of moderate to high magnitude, being 0.42 ± 0.09 for CH4 and 0.21 ± 0.09 for CH4 res, indicating t... Mostrar Tudo |
|
Palavras-Chave: |
Emissão de gases de efeito estufa; QTLs. |
|
Thesagro: |
Bos Indicus; Gado Nelore; Hereditariedade; Melhoramento Genético Animal; Variação Genética. |
|
Thesaurus Nal: |
Beef cattle; genes; Genetic variance; Greenhouse gas emissions; Methane. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 03530naa a2200397 a 4500
001 2171888
005 2025-01-22
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1093/jas/skae182$2DOI
100 1 $aSOUZA, L. L.
245 $aHeritability estimates and genome-wide association study of methane emission traits in Nellore cattle.$h[electronic resource]
260 $c2024
520 $aAbstract: The objectives of the present study were to estimate the heritability for daily methane emission (CH4 ) and residual daily methane emission (CH4 res) in Nellore cattle, as well as to perform genome-wide association studies (GWAS) to identify genomic regions and candidate genes influencing the genetic variation of CH4 and CH4 res. Methane emission phenotypes of 743 Nellore animals belonging to 3 breeding programs were evaluated. CH4 was measured using the sulfur hexafluoride (SF6 ) tracer technique (which involves an SF6 permeation tube introduced into the rumen, and an appropriate apparatus on each animal), and CH4 res was obtained as the difference between observed CH4 and CH4 adjusted for dry matter intake. A total of 6,252 genotyped individuals were used for genomic analyses. Data were analyzed with a univariate animal model by the single-step GBLUP method using the average information restricted maximum likelihood (AIREML) algorithm. The effects of single nucleotide polymorphisms (SNPs) were obtained using a single-step GWAS approach. Candidate genes were identified based on genomic windows associated with quantitative trait loci (QTLs) related to the 2 traits. Annotation of QTLs and identification of candidate genes were based on the initial and final coordinates of each genomic window considering the bovine genome ARS-UCD1.2 assembly. Heritability estimates were of moderate to high magnitude, being 0.42 ± 0.09 for CH4 and 0.21 ± 0.09 for CH4 res, indicating that these traits will respond rapidly to genetic selection. GWAS revealed 11 and 15 SNPs that were significantly associated (P < 10−6) with genetic variation of CH4 and CH4 res, respectively. QTLs associated with feed efficiency, residual feed intake, body weight, and height overlapped with significant markers for the traits evaluated. Ten candidate genes were present in the regions of significant SNPs; 3 were associated with CH4 and 7 with CH4 res. The identified genes are related to different functions such as modulation of the rumen microbiota, fatty acid production, and lipid metabolism. CH4 and CH4res presented sufficient genetic variation and may respond rapidly to selection. Therefore, these traits can be included in animal breeding programs aimed at reducing enteric methane emissions across generations.
650 $aBeef cattle
650 $agenes
650 $aGenetic variance
650 $aGreenhouse gas emissions
650 $aMethane
650 $aBos Indicus
650 $aGado Nelore
650 $aHereditariedade
650 $aMelhoramento Genético Animal
650 $aVariação Genética
653 $aEmissão de gases de efeito estufa
653 $aQTLs
700 1 $aDOMINGUES-CASTAÑO, P.
700 1 $aGIANVECCHIO, S. B.
700 1 $aSAKAMOTO, L. S.
700 1 $aRODRIGUES, G. R. D.
700 1 $aSOARES, T. L. da S.
700 1 $aBONILHA, S. F. M.
700 1 $aSANTOS, J. de O.
700 1 $aALBUQUERQUE, L. G. de
700 1 $aSILVA, J. A. I. de V.
700 1 $aMERCADANTE, M. E. Z.
773 $tJournal of Animal Science$gv. 102, skae 82, 2024.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Meio Ambiente (CNPMA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 4 | |
| 3. |  | ARAUJO, M. F. L. de; SILVA, C. E.; PEREIRA, F. do A.; BATISTA, J. A. O.; MARSICANO, K.; TEIXEIRA, M. R. F.; FARIA, O. R. de; BERTIN, P. R. B.; BELTRAO, S. L. L. Avaliação do projeto minibibliotecas no Semiárido do Nordeste e no Vale do Jequitinhonha, MG: uma pesquisa-ação. Brasília, DF: Embrapa Informação Tecnológica, 2009. 43 p. (Embrapa Informação Tecnológica. Documentos, 1).| Biblioteca(s): Embrapa Unidades Centrais. |
|    |
| 4. | | ARAUJO, M. F. L. de; SILVA, C. E. da; PEREIRA, F. do A.; BATISTA, J. A. O.; CORREA, K. S. M.; TEIXEIRA, M. R. F.; FARIA, O. R. de; BERTIN, P. R. B.; BELTRAO, S. L. L. Avaliação do Projeto Minibibliotecas no Seminário do Nordeste e no Vale do Jequitinhonha, MG: uma pesquisa-ação. Brasília, DF: Embrapa Informação Tecnológica, 2009. 43 p. (Embrapa Informação Tecnológica. Documentos, 1).| Biblioteca(s): Embrapa Unidades Centrais. |
| |
| Registros recuperados : 4 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
