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| Registros recuperados : 19 | |
| 4. |  | TUPINAMBÁ, D. D.; PALUAN, S. de F.; COSTA, O. Y. A.; BITENCOURT, A. C.; BERGMANN, J. C.; QUIRINO, B. F. Utilização da diversidade microbiana brasileira para a produção de etanol a partir de biomassa lignocelulósica. Microbiologia in Foco, São Paulo, ano 5, n. 21, p. 19-32, 2013.| Biblioteca(s): Embrapa Agroenergia. |
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| 5. | | TUPINAMBÁ, D. D.; CANTAO, M. E.; COSTA, O. Y. A.; BERGMANN, J. C.; KRUGER, R. H.; KYAW, C. M.; BARRETO, C. C.; QUIRINO, B. F. Archaeal community changes associated with cultivation of amazon forest soil with oil palm. Archaea, Cairo, v. 2016, article ID 3762159, 14 p., 2016.| Biblioteca(s): Embrapa Agroenergia; Embrapa Suínos e Aves. |
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| 6. | | CUNHA, I. S.; BARRETO, C. C.; COSTA, O. Y. A.; BOMFIM, M. A. D.; CASTRO, A. P. de; KRUGER, R. H.; QUIRINO, B. F. Bacteria and Archaea community structure in the rumen microbiome of goats (Capra hircus) from the semiarid region of Brazil. Anaerobe, London, v. 17, n. 3, p. 118-124, Jul. 2011.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 8. | | COSTA, O. Y. A.; SOUTO, B. de M.; TUPINAMBA, D. D.; BERGMANN, J. C.; KRUGER, R. H.; KYAW, C. M.; BARRETO, C. C.; QUIRINO, B. F. Avaliação da diversidade microbiana do processo de produção de etanol de cana-de-açúcar por meio de abordagem independente de cultivo. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 2., 2015, Brasília, DF. Anais ... Brasília, DF: Embrapa Agroenergia, 2015. 111 - 112| Biblioteca(s): Embrapa Agroenergia. |
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| 9. | | COSTA, O. Y. A.; SOUTO, B. de M.; TUPINAMBÁ, D. D.; BERGMANN, J. C.; KYAW, C. M.; KRUGGER, R. H.; BARRETO, C. C.; QUIRINO, B. F. Microbial diversity in sugarcane ethanol production in a Brazilian distillery using a culture-independent method. Journal of Industrial Microbiology & Biotechnology, Epub ahead of print, 18 Nov. 2014. Não paginado.| Biblioteca(s): Embrapa Agroenergia. |
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| 10. | | BERGMANN, J. C.; COSTA, O. Y. A.; RAMOS, N. S. P. L.; FURTADO, R. S.; KRUGER, R. H.; QUIRINO, B. F. Construction of metagenomic libraries with large inserts of DNA from the Amazonian soil microbiota and screening for enzymes with biotechnological potential. In: CONGRESSO BRASILEIRO DE BIOTECNOLOGIA, 3., 2010, Fortaleza. Programas e resumos... [Brasília, DF]: Sociedade Brasileira de Biotecnologia, 2010. p. 64-65.| Biblioteca(s): Embrapa Agroenergia. |
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| 11. | | BERGMANN, J. C.; COSTA, O. Y. A.; GLADDEN, J. M.; SINGER, S.; HEINS, R.; D'HAESELEER, P.; SIMMONS, B. A.; QUIRINO, B. F. Discovery of two novel b-glucosidases from an amazon soil metagenomic library. FEMS Microbiology Letters, 16 de dezembro, p. 1-9, 2013.| Biblioteca(s): Embrapa Agroenergia. |
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| 12. | | MORETTI, L. G.; CRUSCIOL, C. A. C.; LEITE, M. F. A.; MOMESSO, L.; BOSSOLANI, J. W.; COSTA, O. Y. A.; HUNGRIA, M.; KURAMAE, E. E. Diverse bacterial consortia: key drivers of rhizosoil fertility modulating microbiome functions, plant physiology, nutrition, and soybean grain yield. Environmental Microbiome, v. 19, 50, 2024. 15 p.| Biblioteca(s): Embrapa Soja. |
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| 13. | | QUIRINO, B. F.; BERGMAN, J. C.; COSTA, O. Y. A.; PALUAN, S. G.; RAMOS, N. S. P. L.; SOUTO, B. de M.; BARRETO, C. C.; KRUGER, R. H. Identification of glycosyl hydrolases in the microbial biodiversity of Brazil using a metagenomic approach. In: SYMPOSIUM ON BIOTECHNOLOGY FOR FUELS AND CHEMICALS, 34., 2012, New Orleans. [Anais...]. Fairfax, VA: Society for Industrial Microbiology & Biotechnology, 2012. Não paginado. Poster Session 1: 7-44.| Biblioteca(s): Embrapa Agroenergia. |
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| 14. | | QUIRINO, B. F.; CUNHA, I. S.; SOUTO, B. de M.; CARVALHO, L. S.; RAMOS, N. S. P. L.; COSTA, O. Y. A.; BARRETO, C. C.; KRUGER, R. H. Characterization of the bacterial diversity in the goat rumen and identification of enzymes with potential use in the biofuels industry. In: ANNUAL MEETING AND EXHIBITION, 60., 2010, San Francisco, CA. Industrial microbiology and biotechnology. [S.l]: Society for Industrial Microbiology, 2010. p. 107 Poster abstract P9.| Biblioteca(s): Embrapa Agroenergia. |
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| 15. | | RODRIGUES, G. R.; PINTO, O. H. B.; SCHROEDER, L. F.; FERNANDES, G. da R.; COSTA, O. Y. A.; QUIRINO, B. F.; KURAMAE, E. E.; BARRETO, C. C. Unraveling the xylanolytic potential of Acidobacteria bacterium AB60 from Cerrado soils. FEMS Microbiology Letters, v. 367, Issue 18, fnaa149, Sept. 2020. 367| Biblioteca(s): Embrapa Agroenergia. |
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| 16. | | COSTA, O. Y. A.; SOUTO, B. de M.; TUPINAMBÁ, D. D.; BERGMANN, J. C.; BITENCOURT, A. C. A.; MOURA, C.; SCHROEDER, L. F.; FRANCO, O. L.; QUIRINO, B. F. Microbial diversity in different stages of the ethanol production process using traditional techniques and molecular biology. In: REUNIÃO ANUAL DA SBBQ, 42., 2013, Foz do Iguaçu, PR. [Anais...] São Paulo: SBBq, 2013.| Biblioteca(s): Embrapa Agroenergia. |
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| 17. | | BITENCOURT, A. C.; PORTELA, G. C.; SOUTO, B. de M.; COSTA, O. Y. A.; FAVARO, L. C. de L.; MENDES, T. D.; RODRIGUES, D. de S.; QUIRINO, B. F. Cellulolytic and accessory enzymes from brazilian microbiota for biomass deconstruction. In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 2., 2015, Brasília, DF. Anais ... Brasília, DF: Embrapa Agroenergia, 2015. 106 - 108| Biblioteca(s): Embrapa Agroenergia. |
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| 18. | | KIELAK, A. M.; CASTELLANE, T. C. L.; CAMPANHARO, J. C.; COLNAGO, L. A.; COSTA, O. Y. A.; SILVA, M. L. C.; VAN VEEN, J. A.; LEMOS, E. G. M.; KURAMAE, E. E. Characterization of novel Acidobacteria exopolysaccharides with potential industrial and ecological applications. In: Scientific Reports, v. 7, 2017. Article 41193.| Biblioteca(s): Embrapa Instrumentação. |
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| 19. | | RODRIGUES, L. P.; SCHROEDER, L. F.; RAMOS, N. S. P. L.; RAMOS, T. G.; MOURA, C. O.; SOUTO, B. de M.; BERGMANN, J. C.; COSTA, O. Y. A.; JUNIOR, D. A. J.; BARRETO, C. C.; KRUGER, R. H.; QUIRINO, B. F. Prospecção de celulases e hemicelulases utilizando diferentes substratos por abordagem metagenômica. In: CONGRESSO LATINO AMERICANO DE MICROBIOLOGIA, 21., 2012, Santos, SP. [Anais...]. São Paulo: Sociedade Brasileira de Microbiologia: Asociación Latinoamericana de Microbiologia, 2012.| Biblioteca(s): Embrapa Agroenergia. |
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| Registros recuperados : 19 | |
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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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