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| Registros recuperados : 151 | |
| 121. |  | IBELLI, A. M. G.; PEIXOTO, J. de O.; FERNANDES, L. T.; HAACH, V.; GAVA, D.; BASTOS, A. P. A.; FONSECA, F. M. da; MORES, M. A. Z.; CANTAO, M. E.; SCHAEFER, R.; LEDUR, M. C. Molecular mechanisms involved with influenza A nanovaccine immunogenicity in pigs. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 12., 2022, Rotterdam. Proceedings: technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges. Wageningen: Wageningen Academic Publishers, 2022. Edited by R. F. Veerkamp and Y. de Haas.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 122. | | KOWACIC, R. da C.; IBELLI, A. M. G.; PEIXOTO, J. de O.; MORES, N.; MORES, M. A. Z.; CANTAO, M. E.; SAVOLDI, I. R.; CARMO, K. B. do; COUTINHO, L. L.; LEDUR, M. C. Genes Col16A1 e ANGPT4 são menos expressos em suínos afetados com osteocondrose latens. In: JORNADA DE INICIAÇÃO CIENTÍFICA, 10., 2016, Concórdia. Anais... Concórdia: Embrapa Suínos e Aves: UNC, 2017. p. 15-16. JINC.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 123. | | ROMANO, G. de S.; IBELLI, A. M. G.; PEIXOTO, J. de O.; CANTAO, M. E.; WEBER, T.; MORES, M. A. Z.; MORES, N.; PEDROSA, V. B.; PINTO, L. F. B.; COUTINHO, L. L.; LEDUR, M. C. Genes diferencialmente expressos no transcriptoma de suínos normais e afetados com hérnia escrotal. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto. Anais... Ribeirão Preto: SBMA, 2017. 1 CD-ROM.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 124. | | RODRIGUES, A. F. G.; IBELLI, A. M. G.; PEIXOTO, J. de O.; CANTAO, M. E.; OLIVEIRA, H. C. de; SAVOLDI, I. R.; SOUZA, M. R.; MORES, M. A. Z.; CARREÑO, L. O. D.; LEDUR, M. C. Genes and SNPs Involved with Scrotal and Umbilical Hernia in Pigs. Genes, v. 12, n. 166, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 125. | | PANDOLFI, J. R. C.; IBELLI, A. M. G.; CANTAO, M. E.; PEIXOTO, J. de O.; KRABBE, E. L.; AVILA, V. S. de; KRAMER, B.; ZANELLA, R.; JAENISCH, F. R. F.; MORES, M. A. Z.; COUTINHO, L. L.; LEDUR, M. C. Genetic characterization of poultry gut microbiota by 16S-rRNA gene sequencing. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 28., 2015, Florianópolis. Resumos. Florianópolis: Sociedade Brasileira de Microbiologia, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 126. | | PEIXOTO, J. de O.; SAVOLDI, I. R.; IBELLI, A. M. G.; CANTAO, M. E.; JAENISCH, F. R. F.; GIACHETTO, P. F.; SETTLES, M. L.; ZANELLA, R.; MARCHESI, J. A. P.; PANDOLFI, J. R. C.; COUTINHO, L. L.; LEDUR, M. C. Proximal femoral head transcriptome reveals novel candidate genes related to epiphysiolysis in broiler chickens. BMC Genomics, v. 20, p. 1-17, 2019. Na publicação: José Rodrigo Pandolfi. Article number: 1031.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Suínos e Aves. |
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| 127. | | CAMPOS, F. G.; IBELLI, A. M. G.; OLIVEIRA, H. C. de; CANTAO, M. E.; PEIXOTO, J. de O.; TEIXEIRA, S. A.; COSTA, K. A.; LEDUR, M. C.; GUIMARÃES, S. E. F. Manual para identificação de RNAs longos não codificantes (lncRNAs) por meio de ferramentas bioinformáticas na análise de transcriptomas. Concórdia: Embrapa Suínos e Aves, 2023. 41 p. (Embrapa Suínos e Aves. Documentos, 244).| Biblioteca(s): Embrapa Suínos e Aves. |
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| 128. | | NOGUEIRA, V. L. R.; ROCHA, L. L.; COLARES, G. B.; ANGELIM, A. L.; NORMANDO, L. R. O.; CANTAO, M. E.; AGNEZ-LIMA, L. F.; ANDREOTE, F. D.; MELO, V. M. M. Microbiomes and potential metabolic pathways of pristine and anthropized Brazilian mangroves. Regional Studies in Marine Science, v. 2, p. 56-64, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 129. | | DAL PIZZOL, M. S.; IBELLI, A. M. G.; CANTAO, M. E.; PEIXOTO, J. de O.; FERNANDES, L. T.; MORES, M. A. Z.; CAMPOS, F. G.; OLIVEIRA, H. C. de; LEDUR, M. C. MicroRNAS da via de sinalização da insulina envolvidos na manifestação de white striping em frangos de corte aos 28 dias de idade. In: WORKSHOP DE CIÊNCIA, TECNOLOGIA E INOVAÇÃO, 7., 2023, Francisco Beltrão. Anais... Francisco Beltrão: UTFPR, 2023. p. 429-438.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 130. | | PADILHA, S. F.; IBELLI, A. M. G.; PEIXOTO, J. O.; CANTAO, M. E.; MOREIRA, G. C. M.; FERNANDES, L. T.; TAVERNARI, F. C.; MORES, M. A. Z.; BASTOS, A. P. A.; DIAS, L. T.; TEIXEIRA, R. A.; LEDUR, M. C. Novel candidate genes involved in an initial stage of white striping development in broiler chickens. Animals, v. 14, n. 16, 2379, 2024. 21 p.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Suínos e Aves. |
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| 131. | | FERNANDES, L. T.; ONO, R. K.; IBELLI, A. M. G.; LAGOS, E. B.; MORES, M. A. Z.; CANTAO, M. E.; LORENZETTI, W. R.; PEIXOTO, J. de O.; PEDROSA, V. B.; LEDUR, M. C. Novel putative candidate genes associated with umbilical hernia in pigs. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 132. | | IBELLI, A. M. G.; PEIXOTO, J. de O.; FERNANDES, L. T.; DAL PIZZOL, M. S.; DAHMER, D. R.; CAMPOS, F. G.; OLIVEIRA, H. C. de; TAVERNARI, F. de C.; CANTAO, M. E.; LEDUR, M. C. Mirna expression profile differs between chicken lines with different growth rates. In: BRAZILIAN CONGRESS OF GENETICS, 68., 2023, Ouro Preto. Paleogenomics: sequencing ancient DNA. E-book. Ribeirão Preto: Sociedade Brasileira de Genética, 2023. p. 292.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 133. | | HEBBEL, C.; QUIRINO, M.; BASSELAR, P.; IBELLI, A. M. G.; LEDUR, M. C.; MORES, M. A. Z.; ONO, R. K.; CANTAO, M. E.; PEIXOTO, J. de O.; MARQUES, M. G.; ULGUIM, R da R.; GASPERIN, B. G.; BIANCHI, I. Regiões genômicas potencialmente associadas ao anestro em leitoas. In: CONGRESSO NACIONAL, 20., 2023, Porto Alegre. Produzindo suínos para um futuro sustentável: anais. Porto Alegre: ABRAVES, 2023. Revista Acadêmica de Ciência Animal, v. 21, supl. 2, p. 177-178, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 134. | | TEIXEIRA, S. A.; IBELLI, A. M. G.; CANTAO, M. E.; OLIVEIRA, H. C. de; LEDUR, M. C.; PEIXOTO, J. de O.; MARQUES, D. B. D.; COSTA, K. A.; COUTINHO, L. L.; GUIMARÃES, S. E. F. Sex determination using RNA-sequencing analyses in early prenatal pig development. Genes, v. 10, n. 1010, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 135. | | RIEGER, J. S. G.; MANTOVANI, C.; SUNIGA, P. A. P.; PINTO, I. B.; SOUSA, G. A. A.; GAVA, D.; CANTAO, M. E.; SANTOS, L. R.; ARAÚJO, F. R.; ZANELLA, J. R. C. Standardization of ELISA with senecavirus A recombinant VP2 protein and its use in swine herds in Brazil. Genetics and Molecular Research, v. 22, n. 1, ed. gmr19118, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 136. | | SOUZA, M. R.; IBELLI, A. M. G.; SAVOLDI, I. R.; CANTAO, M. E.; PEIXOTO, J. de O.; MORES, M. A. Z.; LOPES, J. S.; COUTINHO, L. L.; LEDUR, M. C. Transcriptome analysis identifies genes involved with the development of umbilical hernias in pigs. Plos One, v. 15, n. 5, e0232542, 2020.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 137. | | IBELLI, A. M. G.; FERNANDES, L.; HAACH, V.; GAVA, D.; BASTOS, A. P. A.; OKINO, C. H.; PEIXOTO, J. de O.; FONSECA, F. M. da; MORES, M. A. Z.; CANTAO, M. E.; SCHAEFER, R.; LEDUR, M. C. Transcriptomic profiling shows the induction of humoral and cellular response-related genes in pigs following vaccination with an Influenza A nanovaccine. In: INTERNATIONAL VETERINARY IMMUNOLOGY SYMPOSIUM, 13., 2023, Satellite Meeting. Programme & Abstracts... Kruger Park/South Africa: IVIS, 2023. p. 109.| Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Suínos e Aves. |
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| 138. | | PACCHION, R. G.; CARVALHO, F. M.; THOMPSON, C. E.; FAUSTINO, A. L. F.; NICOLINI, F.; PEREIRA, T. S.; SILVA, R. C. B.; CANTAO, M. E.; GERBER, A.; VASCONCELOS, A. T. R.; AGNEZ-LIMA, L. F. Taxonomic and functional profiles of soil samples from Atlantic Forest and caatinga biomes in northeastern Brazil. MicrobiologyOpen, Brussels, v. 3, n. 3, p. 299-315, 2014. DOI: 10.1002/mbo3.169.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 139. | | QUIRINO, M.; HEBBEL, C.; IBELLI, A. M. G.; LEDUR, M. C.; MORES, M. A. Z.; ONO, R. K.; CANTAO, M. E.; PEIXOTO, J. de O.; MOREIRA, F.; MARQUES, M. G.; ULGUIM, R. da R.; GASPERIN, B. G.; BIANCHI, I. Uso de metodologias genômicas para o estudo de fatores genéticos envolvidos com o anestro em leitoas. Suinocultura Industrial, Itu, ed. 313, ano 45, n. 4, p. 16-20, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 140. | | SILVA, A. N. da; IBELLI, A. M. G.; SAVOLDI, I. R.; CANTAO, M. E.; ZANELLA, E. L.; MARQUES, M. G.; SILVA, M. V. G. B.; PEIXOTO, J. de O.; LEDUR, M. C.; LOPES, J. S.; VARGAS, J. E.; ZANELLA, R. Whole-exome sequencing indicated new candidate genes associated with unilateral cryptorchidism in pigs. Sexual Development, 9 Feb 2023.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Suínos e Aves. |
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| Registros recuperados : 151 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
19/09/2018 |
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Data da última atualização: |
20/09/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; TREVISOLI, P. A.; CANTAO, M. E.; LEDUR, M. C.; IBELLI, A. M. G.; MOURA, A. S. M. T.; GARRICK, D.; COUTINHO, L. L. |
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Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, ESALQ; CLARISSA BOSCHIERO, ESALQ; ALINE SILVA MELLO CESAR, ESALQ; JAMES M. REECY; THAÍS FERNANDA GODOY, USP/ESALq; PRISCILA ANCHIETA TREVISOLI, USP/ESALq; MAURICIO EGIDIO CANTAO, CNPSA; MONICA CORREA LEDUR, CNPSA; ADRIANA MERCIA GUARATINI IBELLI, CNPSA; ANA SILVIA ALVES MEIRA TAVARES MOURA, USP/ESALq; DORIAN GARRICK, USP/ESALq; LUIZ LEHMMAN COUTINHO, USP/ESALq. |
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Título: |
A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
BMC Genomics, v. 19, n. 374, 2018. |
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DOI: |
10.1186/s12864-018-4779-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Background: Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken’s carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. Results: ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. Conclusions: This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production. MenosAbstract Background: Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken’s carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. Results: ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. Conclusions: This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases geno... Mostrar Tudo |
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Thesagro: |
Frango de Corte; Gordura; Hereditariedade; Melhoramento Genético Animal; Peso. |
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Thesaurus NAL: |
Animal genetics; Broiler chickens; Genomics; Heritability; Quantitative genetics; Quantitative trait loci. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03132naa a2200397 a 4500
001 2096061
005 2018-09-20
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-018-4779-6$2DOI
100 1 $aMOREIRA, G. C. M.
245 $aA genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.$h[electronic resource]
260 $c2018
520 $aAbstract Background: Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken’s carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. Results: ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. Conclusions: This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production.
650 $aAnimal genetics
650 $aBroiler chickens
650 $aGenomics
650 $aHeritability
650 $aQuantitative genetics
650 $aQuantitative trait loci
650 $aFrango de Corte
650 $aGordura
650 $aHereditariedade
650 $aMelhoramento Genético Animal
650 $aPeso
700 1 $aBOSCHIERO, C.
700 1 $aCESAR, A. S. M.
700 1 $aREECY, J. M.
700 1 $aGODOY, T. F.
700 1 $aTREVISOLI, P. A.
700 1 $aCANTAO, M. E.
700 1 $aLEDUR, M. C.
700 1 $aIBELLI, A. M. G.
700 1 $aMOURA, A. S. M. T.
700 1 $aGARRICK, D.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 19, n. 374, 2018.
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