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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
12/03/2013 |
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Data da última atualização: |
07/11/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, M. F.; ARIAS, C. A. A. |
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Afiliação: |
MAURILIO FERNANDES DE OLIVEIRA, CNPMS; CARLOS ALBERTO ARRABAL ARIAS, CNPSO. |
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Título: |
Breeding soybean for disease resistance in Brazil. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: WORLD SOYBEAN RESEARCH CONFERENCE, 9., 2013, Durban. [Proceedings...]. Durban: OPDT: OPOT, 2013. Abst. 452. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Notas: |
WSRC. |
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Thesagro: |
Soja. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/85294/1/303-Oliveira.pdf
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Marc: |
LEADER 00456nam a2200145 a 4500
001 1952781
005 2014-11-07
008 2013 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. F.
245 $aBreeding soybean for disease resistance in Brazil.
260 $aIn: WORLD SOYBEAN RESEARCH CONFERENCE, 9., 2013, Durban. [Proceedings...]. Durban: OPDT: OPOT, 2013. Abst. 452.$c2013
300 $c1 CD-ROM.
500 $aWSRC.
650 $aSoja
700 1 $aARIAS, C. A. A.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
20/12/2018 |
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Data da última atualização: |
05/02/2019 |
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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: |
OLIVEIRA, P. S. N. de; COUTINHO, L. L.; TIZIOTO, P. C.; CESAR, A. S. M.; OLIVEIRA, G. B. de; DINIZ, W, J. da S.; LIMA, A. O. de; REECY, J. M.; MOURÃO, G. B.; ZERLOTINI NETO, A.; REGITANO, L. C. de A. |
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Afiliação: |
PRISCILA SILVA NEUBERN DE OLIVEIRA, Bolsista/Embrapa Pecuária Sudeste; LUIZ L. COUTINHO, USP; POLYANA C. TIZIOTO, NGS Genomic Solutions; ALINE S. M. CESAR, USP; GABRIELLA B. DE OLIVEIRA, USP; WELLISON J. DA S. DINIZ, UFSCar; ANDRESSA O. DE LIMA, UFSCar; JAMES M. REECY, Iowa State University; GERSON B. MOURÃO, USP; ADHEMAR ZERLOTINI NETO, CNPTIA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
An integrative transcriptome analysis indicates regulatory mRNA-miRNA networks for residual feed intake in Nelore cattle. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Scientific Reports, v. 8, p. 1-12, 2018. |
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DOI: |
10.1038/s41598-018-35315-5 |
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Idioma: |
Inglês |
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Notas: |
Article number: 17072. Na publicação: Adhemar Zerlotini, Luciana C. A. Regitano. |
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Conteúdo: |
Residual Feed Intake (RFI) is an economically relevant trait in beef cattle. Among the molecular regulatory mechanisms, microRNAs (miRNAs) are an important dimension in post-transcriptional regulation and have been associated with different biological pathways. Here, we performed differential miRNAs expression and weighted gene co-expression network analyses (WGCNA) to better understand the complex interactions between miRNAs and mRNAs expressed in bovine skeletal muscle and liver. MiRNA and mRNA expression data were obtained from Nelore steers that were genetically divergent for RFI (N = 10 [low RFI or feed efficient]; N = 10 [high RFI or feed inefficient]). Differentially expressed and hub miRNAs such as bta-miR-486, bta-miR-7, bta-miR15a, bta-miR-21, bta-miR 29, btamiR-30b, bta-miR-106b, bta-miR-199a-3p, bta-miR-204, and bta-miR 296 may have a potential role in variation of RFI. Functional enrichment analysis of differentially expressed (DE) miRNA?s target genes and miRNA?mRNA correlated modules revealed that insulin, lipid, immune system, oxidative stress and muscle development signaling pathways might potentially be involved in RFI in this population. Our study identified DE miRNAs, miRNA - mRNA regulatory networks and hub miRNAs related to RFI. These findings suggest a possible role of miRNAs in regulation of RFI, providing new insights into the potential molecular mechanisms that control feed efficiency in Nelore cattle. |
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Palavras-Chave: |
MicroRNAs; Residual Feed Intake. |
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Thesagro: |
Gado Nelore. |
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Thesaurus NAL: |
Beef cattle; Nellore; Skeletal muscle. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189126/1/AP-Integrative-Adhemar-etal.pdf
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Marc: |
LEADER 02518naa a2200337 a 4500
001 2102149
005 2019-02-05
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1038/s41598-018-35315-5$2DOI
100 1 $aOLIVEIRA, P. S. N. de
245 $aAn integrative transcriptome analysis indicates regulatory mRNA-miRNA networks for residual feed intake in Nelore cattle.$h[electronic resource]
260 $c2018
500 $aArticle number: 17072. Na publicação: Adhemar Zerlotini, Luciana C. A. Regitano.
520 $aResidual Feed Intake (RFI) is an economically relevant trait in beef cattle. Among the molecular regulatory mechanisms, microRNAs (miRNAs) are an important dimension in post-transcriptional regulation and have been associated with different biological pathways. Here, we performed differential miRNAs expression and weighted gene co-expression network analyses (WGCNA) to better understand the complex interactions between miRNAs and mRNAs expressed in bovine skeletal muscle and liver. MiRNA and mRNA expression data were obtained from Nelore steers that were genetically divergent for RFI (N = 10 [low RFI or feed efficient]; N = 10 [high RFI or feed inefficient]). Differentially expressed and hub miRNAs such as bta-miR-486, bta-miR-7, bta-miR15a, bta-miR-21, bta-miR 29, btamiR-30b, bta-miR-106b, bta-miR-199a-3p, bta-miR-204, and bta-miR 296 may have a potential role in variation of RFI. Functional enrichment analysis of differentially expressed (DE) miRNA?s target genes and miRNA?mRNA correlated modules revealed that insulin, lipid, immune system, oxidative stress and muscle development signaling pathways might potentially be involved in RFI in this population. Our study identified DE miRNAs, miRNA - mRNA regulatory networks and hub miRNAs related to RFI. These findings suggest a possible role of miRNAs in regulation of RFI, providing new insights into the potential molecular mechanisms that control feed efficiency in Nelore cattle.
650 $aBeef cattle
650 $aNellore
650 $aSkeletal muscle
650 $aGado Nelore
653 $aMicroRNAs
653 $aResidual Feed Intake
700 1 $aCOUTINHO, L. L.
700 1 $aTIZIOTO, P. C.
700 1 $aCESAR, A. S. M.
700 1 $aOLIVEIRA, G. B. de
700 1 $aDINIZ, W, J. da S.
700 1 $aLIMA, A. O. de
700 1 $aREECY, J. M.
700 1 $aMOURÃO, G. B.
700 1 $aZERLOTINI NETO, A.
700 1 $aREGITANO, L. C. de A.
773 $tScientific Reports$gv. 8, p. 1-12, 2018.
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Embrapa Agricultura Digital (CNPTIA) |
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