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| Registros recuperados : 290 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
13/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; COSTA, C. N.; SILVA, H. T.; LOPES, P. S.; VERONEZE, R.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
ALESSANDRA ALVES SILVA, Universidade Federal de Viçosa; DELVAN ALVES SILVA, Universidade Federal de Viçosa; FABYANO FONSECA SILVA, Universidade Federal de Viçosa; CLAUDIO NAPOLIS COSTA, CNPGL; HUGO TEIXEIRA SILVA, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa; RENATA VERONEZE, Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; JULIO CARVALHEIRA, Universidade do Porto. |
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Título: |
GWAS and gene networks for milk-related traits from test-day multiple lactations in Portuguese Holstein cattle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Applied Genetics, v. 61, p. 465-476, 2020. |
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DOI: |
https://doi.org/10.1007/s13353-020-00567-3 |
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Idioma: |
Inglês |
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Conteúdo: |
This study focused on the identification of QTL regions, candidate genes, and network related genes based on the first 3 lactations (LAC3) of milk, fat, and protein yields, and somatic cell score (SCS) in Portuguese Holstein cattle. Additionally, the results were compared with those from only first lactation (LAC1) data. The analyses were performed using the weighted single-step GWAS under an autoregressive test-day (TD) multiple lactations model. A total of 11,434,294 and 4,725,673 TD records from LAC3 and LAC1, respectively, including 38,323 autosomal SNPs and 1338 genotyped animals were used inGWAS analyses. A total of 51 (milk), 5 (fat), 24 (protein), and 4 (SCS) genes were associated to previously annotated relevant QTL regions for LAC3. The CACNA2D1 at BTA4 explained the highest proportion of genetic variance respectively for milk, fat, and protein yields. For SCS, the TRNAG-CCC at BTA14, MAPK10, and PTPN3 genes, both at BTA6 were considered important candidate genes. The accessed network refined the importance of the reported genes. CACNA2D1 regulates calcium density and activation/inactivation kinetics of calcium transport in the mammary gland; whereas TRNAG-CCC, MAPK10, and PTPN3 are directly involved with inflammatory processes widely derived from mastitis. In conclusion, potential candidate genes (TRNAG-CCC, MAPK10, and PTPN3) associated with somatic cell were highlighted, which further validation studies are needed to clarify its mechanism action in response to mastitis. Moreover, most of the candidate genes identified were present in both (LAC3 and LAC1) for milk, fat and protein yields, except for SCS, in which no candidate genes were shared between LAC3 and LAC1. The larger phenotypic information provided by LAC3 dataset was more effective to identify relevant genes, providing a better understanding of the genetic architecture of these traits over all lactations simultaneously. MenosThis study focused on the identification of QTL regions, candidate genes, and network related genes based on the first 3 lactations (LAC3) of milk, fat, and protein yields, and somatic cell score (SCS) in Portuguese Holstein cattle. Additionally, the results were compared with those from only first lactation (LAC1) data. The analyses were performed using the weighted single-step GWAS under an autoregressive test-day (TD) multiple lactations model. A total of 11,434,294 and 4,725,673 TD records from LAC3 and LAC1, respectively, including 38,323 autosomal SNPs and 1338 genotyped animals were used inGWAS analyses. A total of 51 (milk), 5 (fat), 24 (protein), and 4 (SCS) genes were associated to previously annotated relevant QTL regions for LAC3. The CACNA2D1 at BTA4 explained the highest proportion of genetic variance respectively for milk, fat, and protein yields. For SCS, the TRNAG-CCC at BTA14, MAPK10, and PTPN3 genes, both at BTA6 were considered important candidate genes. The accessed network refined the importance of the reported genes. CACNA2D1 regulates calcium density and activation/inactivation kinetics of calcium transport in the mammary gland; whereas TRNAG-CCC, MAPK10, and PTPN3 are directly involved with inflammatory processes widely derived from mastitis. In conclusion, potential candidate genes (TRNAG-CCC, MAPK10, and PTPN3) associated with somatic cell were highlighted, which further validation studies are needed to clarify its mechanism action in response to m... Mostrar Tudo |
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Palavras-Chave: |
Gene function; Regiões QTL. |
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Thesagro: |
Bovino; Gado Holandês; Gado Leiteiro; Gene; Produção Leiteira. |
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Thesaurus NAL: |
Milk yield; Somatic cells. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02891naa a2200337 a 4500
001 2133544
005 2021-08-13
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s13353-020-00567-3$2DOI
100 1 $aSILVA, A. A.
245 $aGWAS and gene networks for milk-related traits from test-day multiple lactations in Portuguese Holstein cattle.$h[electronic resource]
260 $c2020
520 $aThis study focused on the identification of QTL regions, candidate genes, and network related genes based on the first 3 lactations (LAC3) of milk, fat, and protein yields, and somatic cell score (SCS) in Portuguese Holstein cattle. Additionally, the results were compared with those from only first lactation (LAC1) data. The analyses were performed using the weighted single-step GWAS under an autoregressive test-day (TD) multiple lactations model. A total of 11,434,294 and 4,725,673 TD records from LAC3 and LAC1, respectively, including 38,323 autosomal SNPs and 1338 genotyped animals were used inGWAS analyses. A total of 51 (milk), 5 (fat), 24 (protein), and 4 (SCS) genes were associated to previously annotated relevant QTL regions for LAC3. The CACNA2D1 at BTA4 explained the highest proportion of genetic variance respectively for milk, fat, and protein yields. For SCS, the TRNAG-CCC at BTA14, MAPK10, and PTPN3 genes, both at BTA6 were considered important candidate genes. The accessed network refined the importance of the reported genes. CACNA2D1 regulates calcium density and activation/inactivation kinetics of calcium transport in the mammary gland; whereas TRNAG-CCC, MAPK10, and PTPN3 are directly involved with inflammatory processes widely derived from mastitis. In conclusion, potential candidate genes (TRNAG-CCC, MAPK10, and PTPN3) associated with somatic cell were highlighted, which further validation studies are needed to clarify its mechanism action in response to mastitis. Moreover, most of the candidate genes identified were present in both (LAC3 and LAC1) for milk, fat and protein yields, except for SCS, in which no candidate genes were shared between LAC3 and LAC1. The larger phenotypic information provided by LAC3 dataset was more effective to identify relevant genes, providing a better understanding of the genetic architecture of these traits over all lactations simultaneously.
650 $aMilk yield
650 $aSomatic cells
650 $aBovino
650 $aGado Holandês
650 $aGado Leiteiro
650 $aGene
650 $aProdução Leiteira
653 $aGene function
653 $aRegiões QTL
700 1 $aSILVA, D. A.
700 1 $aSILVA, F. F.
700 1 $aCOSTA, C. N.
700 1 $aSILVA, H. T.
700 1 $aLOPES, P. S.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Applied Genetics$gv. 61, p. 465-476, 2020.
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