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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
17/10/2016 |
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Data da última atualização: |
07/07/2017 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
MELO, A. M. A.; ALEXANDRE, D. L.; FURTADO, R. F.; BORGES, M. de F.; ALVES, C. R.; FIGUEIREDO, E. A. T. de. |
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Afiliação: |
AÍRIS MARIA ARAÚJO MELO, Bióloga, doutoranda do Curso de Pós-graduação da Rede Nordeste de Biotecnologia (Renorbio) - Universidade Estadual do Ceará.; DALILA LIMA ALEXANDRE, Química pela Universidade Estadual do Ceará; ROSELAYNE FERRO FURTADO, CNPAT; MARIA DE FATIMA BORGES, CNPAT; CARLUCIO ROBERTO ALVES, Químico, D. Sc. em Química, prof. Universidade Estadual do Ceará; EVÂNIA ALTINA TEIXEIRA de FIGUEIREDO, Bióloga, D. Sc. em Microbiologia, profa. Universidade Federal do Ceará. |
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Título: |
Detecção de Salmonella sp. em leite utilizando biossensor eletroquímico. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Fortaleza: Embrapa Agroindústria Tropical, 2016. |
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Páginas: |
3 p. |
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Série: |
(Embrapa Agroindústria Tropical. Comunicado técnico, 224) |
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Idioma: |
Português |
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Palavras-Chave: |
Metodologia; Performance biossensor. |
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Thesagro: |
Leite; Salmonella. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161503/1/COT16008.pdf
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Marc: |
LEADER 00712nam a2200229 a 4500
001 2054785
005 2017-07-07
008 2016 bl uuuu u0uu1 u #d
100 1 $aMELO, A. M. A.
245 $aDetecção de Salmonella sp. em leite utilizando biossensor eletroquímico.$h[electronic resource]
260 $aFortaleza: Embrapa Agroindústria Tropical$c2016
300 $a3 p.
490 $a(Embrapa Agroindústria Tropical. Comunicado técnico, 224)
650 $aLeite
650 $aSalmonella
653 $aMetodologia
653 $aPerformance biossensor
700 1 $aALEXANDRE, D. L.
700 1 $aFURTADO, R. F.
700 1 $aBORGES, M. de F.
700 1 $aALVES, C. R.
700 1 $aFIGUEIREDO, E. A. T. de
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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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: |
LEADER 02227naa a2200193 a 4500
001 1999050
005 2022-04-05
008 2014 bl uuuu u00u1 u #d
022 $a1676-5680
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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