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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
28/11/2019 |
Data da última atualização: |
06/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. |
Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, USP; USP; USP; CLARISSA BOSCHIERO, USP; ALINE SILVA MELLO CESAR, USP; THAIS FERNANDA GODOY, USP; MONICA CORREA LEDUR, CNPSA; JAMES M. REECY, USP; DORIAN J. GARRICK, USP; LUIZ LEHMANN COUTINHO, USP. |
Título: |
Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
BMC Genetics, v. 20, n. 83, 2019. |
Idioma: |
Inglês |
Conteúdo: |
Abstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs. MenosAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development... Mostrar Tudo |
Palavras-Chave: |
Características de desempenho; Genomic heritability; Genotypic data; GWAS; Herdabilidade genômica; Performance traits. |
Thesagro: |
Frango de Corte; Genoma; Seleção Genótipa. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03240naa a2200337 a 4500 001 2115438 005 2019-12-06 008 2019 bl uuuu u00u1 u #d 100 1 $aMOREIRA, G. C. M. 245 $aUnraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach.$h[electronic resource] 260 $c2019 520 $aAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs. 650 $aFrango de Corte 650 $aGenoma 650 $aSeleção Genótipa 653 $aCaracterísticas de desempenho 653 $aGenomic heritability 653 $aGenotypic data 653 $aGWAS 653 $aHerdabilidade genômica 653 $aPerformance traits 700 1 $aPOLETI, M. D. 700 1 $aPÉRTILLE, F. 700 1 $aBOSCHIERO, C. 700 1 $aCESAR, A. S. M. 700 1 $aGODOY, T. F. 700 1 $aLEDUR, M. C. 700 1 $aREECY, J. M. 700 1 $aGARRICK, D. J. 700 1 $aCOUTINHO, L. L. 773 $tBMC Genetics$gv. 20, n. 83, 2019.
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Embrapa Suínos e Aves (CNPSA) |
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Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
12/12/2022 |
Data da última atualização: |
08/08/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GOMES, M. I. de O. L.; SILVA, D. L. da; SOUZA, P. V. de L.; LIMA, J. E. D.; LIMA, D. B. de; OLIVEIRA, J. E. de M. |
Afiliação: |
MARIA ISABEL DE OLIVEIRA LOPES GOMES, Universidade Federal de Pernambuco; DANIEL LUCAS DA SILVA, Universidade Federal de Pernambuco; PEDRO VÍTOR DE LIRA SOUZA, Universidade Federal de Pernambuco; JAYRLA EDUARDA DANTAS LIMA, Universidade Federal de Pernambuco; DEBORA BARBOSA DE LIMA, Universidade Federal de Pernambuco; JOSE EUDES DE MORAIS OLIVEIRA, CPATSA. |
Título: |
Sobrevivência de Neoseiulus barkeri Hughes (Phytoseiidae) expostos a acaricidas. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 28., 2022, Fortaleza. Biodiversidade: conhecer, conservar e utilizar: anais. Fortaleza: SEB, 2022. |
Páginas: |
p. 694. |
Idioma: |
Português |
Conteúdo: |
No presente trabalho avaliamos o efeito de acaricidas utilizados no controle de Raoiella indica Hirst, ácaro-vermelho-das-palmeiras, sobre a sobrevivência e tempo médio de sobrevivência do único ácaro registrado para essa praga, Neoseiulus barkeri Hughes. |
Palavras-Chave: |
Abamectina; Ácaro-vermelho-das-palmeiras; Azadiractina; Fenpiroximato; Piridabem. |
Thesagro: |
Acaricida; Controle Biológico; Inimigo Natural; Inseto; Pesticida; Praga; Predador. |
Thesaurus NAL: |
Biological control; Neoseiulus. |
Categoria do assunto: |
O Insetos e Entomologia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1149454/1/Sobrevivencia-de-Neoseiulus-barkeri-Hughe-2022.pdf
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Marc: |
LEADER 01315nam a2200349 a 4500 001 2149454 005 2023-08-08 008 2022 bl uuuu u00u1 u #d 100 1 $aGOMES, M. I. de O. L. 245 $aSobrevivência de Neoseiulus barkeri Hughes (Phytoseiidae) expostos a acaricidas.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 28., 2022, Fortaleza. Biodiversidade: conhecer, conservar e utilizar: anais. Fortaleza: SEB$c2022 300 $ap. 694. 520 $aNo presente trabalho avaliamos o efeito de acaricidas utilizados no controle de Raoiella indica Hirst, ácaro-vermelho-das-palmeiras, sobre a sobrevivência e tempo médio de sobrevivência do único ácaro registrado para essa praga, Neoseiulus barkeri Hughes. 650 $aBiological control 650 $aNeoseiulus 650 $aAcaricida 650 $aControle Biológico 650 $aInimigo Natural 650 $aInseto 650 $aPesticida 650 $aPraga 650 $aPredador 653 $aAbamectina 653 $aÁcaro-vermelho-das-palmeiras 653 $aAzadiractina 653 $aFenpiroximato 653 $aPiridabem 700 1 $aSILVA, D. L. da 700 1 $aSOUZA, P. V. de L. 700 1 $aLIMA, J. E. D. 700 1 $aLIMA, D. B. de 700 1 $aOLIVEIRA, J. E. de M.
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