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| Registros recuperados : 3 | |
| 1. |  | MEDEIROS, N.; SOUZA, F. I. B. de; GOULART, S. L.; MORI, F. A.; MELO, L. E. de L.; FERREIRA, P. da S.; SANTANA, D. Efeito da estrutura anatômica sobre as propriedades físicas da madeira de Sterculia apelata (Jacq.) H.Karst. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DA MADEIRA, 3., 2017, Florianópolis. Trabalhos publicados. [Seropédica]: SBCTEM, 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 3. | | FERREIRA, P. da S.; MEDEIROS, N.; MELO, L. E. de L.; SOUZA, F. I. B. de; MORI, F. A.; GOULART, S. L. Propriedades da madeira de Sterculia apetala e sua qualidade para nidificação da arara-zul na Amazônia. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DA MADEIRA, 3., 2017, Florianópolis. Trabalhos publicados. [Seropédica]: SBCTEM, 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 3 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
03/11/2014 |
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Data da última atualização: |
05/04/2022 |
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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: |
BARROS-CARVALHO, G. A.; PASCHOAL, A. R.; MARCELINO-GUIMARÃES, F. C.; HUNGRIA, M. |
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Afiliação: |
GESIELE ALMEIDA BARROS DE CARVALHO, CNPq - bolsista; ALEXANDRE ROSSI PASCHOAL, UTFPR; FRANCISMAR CORRÊA MARCELINO-GUIMARÃES, CNPSO; MARIANGELA HUNGRIA DA CUNHA, CNPSO. |
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Título: |
Prediction of potential novel microRNAs in soybean when in symbiosis. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 13, n. 4, p. 8519-8529, 2014. |
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ISSN: |
1676-5680 |
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DOI: |
10.4238/2014.October.20.28 |
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Idioma: |
Inglês |
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Conteúdo: |
MicroRNAs (miRNAs) are small molecules, noncoding proteins that are involved in many biological processes, especially in plants; among these processes is nodulation in the legume. Biological nitrogen fixation is a key process, with critical importance to the soybean crop. This study aimed to identify the potential of novel miRNAs to act during the root nodulation process. We utilized a set of transcripts that were differentially expressed in soybean roots 10 days after inoculation with Bradyrhizobium japonicum, which were obtained in a previous study, and performed a set of computational analyses that led us to select new miRNAs potentially involved in nodulation. Among these analyses, the set of transcripts were submitted to an in silico annotation of noncoding RNAs, including a search of similarity against miRNA public databases, ab initio tools for miRNA identification, structural search against miRNA families, prediction of the secondary structure of miRNA precursors, and prediction of the sequences of mature miRNAs. Subsequently, we applied filter procedures based on miRNA selections described in the literature (e.g., free energy value). In the next step, a manual curation inspection of the annotation was performed and the top candidates were selected and used for prediction of potential target genes, which were later checked manually in the database of the soybean genome. This prediction led us to the identification of 9 potential new miRNAs; among these, 4 were conserved in other plants. Moreover, we predicted their target genes might play important roles in the regulation of nodulation. MenosMicroRNAs (miRNAs) are small molecules, noncoding proteins that are involved in many biological processes, especially in plants; among these processes is nodulation in the legume. Biological nitrogen fixation is a key process, with critical importance to the soybean crop. This study aimed to identify the potential of novel miRNAs to act during the root nodulation process. We utilized a set of transcripts that were differentially expressed in soybean roots 10 days after inoculation with Bradyrhizobium japonicum, which were obtained in a previous study, and performed a set of computational analyses that led us to select new miRNAs potentially involved in nodulation. Among these analyses, the set of transcripts were submitted to an in silico annotation of noncoding RNAs, including a search of similarity against miRNA public databases, ab initio tools for miRNA identification, structural search against miRNA families, prediction of the secondary structure of miRNA precursors, and prediction of the sequences of mature miRNAs. Subsequently, we applied filter procedures based on miRNA selections described in the literature (e.g., free energy value). In the next step, a manual curation inspection of the annotation was performed and the top candidates were selected and used for prediction of potential target genes, which were later checked manually in the database of the soybean genome. This prediction led us to the identification of 9 potential new miRNAs; among these, 4 were conser... Mostrar Tudo |
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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/110912/1/Prediction-of-potential-novel-microRNAs-in-soybean-when-in-symbiosis.pdf
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Marc: |
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024 7 $a10.4238/2014.October.20.28$2DOI
100 1 $aBARROS-CARVALHO, G. A.
245 $aPrediction of potential novel microRNAs in soybean when in symbiosis.$h[electronic resource]
260 $c2014
520 $aMicroRNAs (miRNAs) are small molecules, noncoding proteins that are involved in many biological processes, especially in plants; among these processes is nodulation in the legume. Biological nitrogen fixation is a key process, with critical importance to the soybean crop. This study aimed to identify the potential of novel miRNAs to act during the root nodulation process. We utilized a set of transcripts that were differentially expressed in soybean roots 10 days after inoculation with Bradyrhizobium japonicum, which were obtained in a previous study, and performed a set of computational analyses that led us to select new miRNAs potentially involved in nodulation. Among these analyses, the set of transcripts were submitted to an in silico annotation of noncoding RNAs, including a search of similarity against miRNA public databases, ab initio tools for miRNA identification, structural search against miRNA families, prediction of the secondary structure of miRNA precursors, and prediction of the sequences of mature miRNAs. Subsequently, we applied filter procedures based on miRNA selections described in the literature (e.g., free energy value). In the next step, a manual curation inspection of the annotation was performed and the top candidates were selected and used for prediction of potential target genes, which were later checked manually in the database of the soybean genome. This prediction led us to the identification of 9 potential new miRNAs; among these, 4 were conserved in other plants. Moreover, we predicted their target genes might play important roles in the regulation of nodulation.
650 $aSoja
700 1 $aPASCHOAL, A. R.
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aHUNGRIA, M.
773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 13, n. 4, p. 8519-8529, 2014.
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Embrapa Soja (CNPSO) |
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