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Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
05/03/2009 |
Data da última atualização: |
12/04/2022 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
TAVARES, S. C. C. de H.; NEVES, R. A. F.; LIMA, V. C. de. |
Afiliação: |
SELMA CAVALCANTI CRUZ DE H TAVARES, CNPS; ROSA ANDREIA FERNANDES NEVES, PROMATA/FACEPE; VANDERLÚCIA CARDOSO DE LIMA, FUNCEME. |
Título: |
Introdução de variedades e monitoramento fitossanitário na viticultura da Zona da Mata de Pernambuco. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Tropical Plant Pathology, v. 33, p. S244, ago. 2008. Suplemento. Ref. MIC-119. Resumo apresentado no 41º Congresso Brasileiro de Fitopatologia, 2008, Belo Horizonte. |
Idioma: |
Português |
Palavras-Chave: |
Monitoramento fitossanitário; Pernambuco; Zona da Mata. |
Thesagro: |
Viticultura. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/335213/1/Introducao-de-variedades-e-monitoramento-fitossanitario-na-viticultura-2008.pdf
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Marc: |
LEADER 00688nam a2200169 a 4500 001 1335213 005 2022-04-12 008 2008 bl uuuu u00u1 u #d 100 1 $aTAVARES, S. C. C. de H. 245 $aIntrodução de variedades e monitoramento fitossanitário na viticultura da Zona da Mata de Pernambuco.$h[electronic resource] 260 $aTropical Plant Pathology, v. 33, p. S244, ago. 2008. Suplemento. Ref. MIC-119. Resumo apresentado no 41º Congresso Brasileiro de Fitopatologia, 2008, Belo Horizonte.$c2008 650 $aViticultura 653 $aMonitoramento fitossanitário 653 $aPernambuco 653 $aZona da Mata 700 1 $aNEVES, R. A. F. 700 1 $aLIMA, V. C. de
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Embrapa Solos (CNPS) |
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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Café. |
Data corrente: |
22/06/2021 |
Data da última atualização: |
23/06/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 3 |
Autoria: |
GUIMARÃES, P. S.; SCHENK, J. C. M.; CINTRA, L. C.; GIACHETTO, P. F.; SILVAROLLA, M. B.; PADILHA, L.; MALUF, M. P. |
Afiliação: |
PAULA SOUZA GUIMARÃES, IAC; JULIANA CAMARGO MARTINATI SCHENK, IAC; LEANDRO CARRIJO CINTRA, CNPTIA; POLIANA FERNANDA GIACHETTO, CNPTIA; MARIA BERNADETE SILVAROLLA, IAC; LILIAN PADILHA, CNPCa; MIRIAN PEREZ MALUF, CNPCa. |
Título: |
Large-scale prospection of genes on caffeine-free Coffea arabica plants - discovery of novel markers associated with development and secondary metabolism. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Plant Gene, v. 27, p. 1-9, Sept. 2021. |
DOI: |
https://doi.org/10.1016/j.plgene.2021.100314 |
Idioma: |
Inglês |
Notas: |
Article 100314. |
Conteúdo: |
Abstract. Differential gene expression profiles and metabolic networks are valuable tools for the genetic characterization of agronomic traits. In this study, we used large-scale expression analyses to identify modified biological processes in caffeine-free coffee plants. The first step was the large-scale sequencing of RNA from young and developing tissues of caffeine-free plants (AC1) and plants with normal concentrations of the compound (MN). The resulting 65,000 sequences were analyzed in silico for identification of 171 genes with differential expression between treatments, and establishment of metabolic networks associated with levels of caffeine. Few genes were mapped onto metabolic pathways, indicating that low caffeine has no major effects on physiological processes. The differential expression observed in silico was validated for 12 selected genes in field experiments using qPCR. The expression profile of 5 genes differed on the analyses, and the rest confirmed the in silico profile. Among the validated genes two of them, FIG and LSM-l, may control other agronomic traits associated with low caffeine content in coffee tissues. These genes are potential markers for use in association with other current markers for assisted selection of low-caffeine coffee. Therefore, they may improve the efficiency and effectiveness of coffee breeding programs. |
Palavras-Chave: |
Assisted-selection; Caffeine-free plants; Coffee; Differential expression; Expressão gênica; RNAseq; Seleção assistida. |
Thesagro: |
Café Descafeinado; Cafeína; Coffea Arábica. |
Thesaurus NAL: |
Caffeine; Gene expression. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02480naa a2200361 a 4500 001 2132519 005 2021-06-23 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.plgene.2021.100314$2DOI 100 1 $aGUIMARÃES, P. S. 245 $aLarge-scale prospection of genes on caffeine-free Coffea arabica plants - discovery of novel markers associated with development and secondary metabolism.$h[electronic resource] 260 $c2021 500 $aArticle 100314. 520 $aAbstract. Differential gene expression profiles and metabolic networks are valuable tools for the genetic characterization of agronomic traits. In this study, we used large-scale expression analyses to identify modified biological processes in caffeine-free coffee plants. The first step was the large-scale sequencing of RNA from young and developing tissues of caffeine-free plants (AC1) and plants with normal concentrations of the compound (MN). The resulting 65,000 sequences were analyzed in silico for identification of 171 genes with differential expression between treatments, and establishment of metabolic networks associated with levels of caffeine. Few genes were mapped onto metabolic pathways, indicating that low caffeine has no major effects on physiological processes. The differential expression observed in silico was validated for 12 selected genes in field experiments using qPCR. The expression profile of 5 genes differed on the analyses, and the rest confirmed the in silico profile. Among the validated genes two of them, FIG and LSM-l, may control other agronomic traits associated with low caffeine content in coffee tissues. These genes are potential markers for use in association with other current markers for assisted selection of low-caffeine coffee. Therefore, they may improve the efficiency and effectiveness of coffee breeding programs. 650 $aCaffeine 650 $aGene expression 650 $aCafé Descafeinado 650 $aCafeína 650 $aCoffea Arábica 653 $aAssisted-selection 653 $aCaffeine-free plants 653 $aCoffee 653 $aDifferential expression 653 $aExpressão gênica 653 $aRNAseq 653 $aSeleção assistida 700 1 $aSCHENK, J. C. M. 700 1 $aCINTRA, L. C. 700 1 $aGIACHETTO, P. F. 700 1 $aSILVAROLLA, M. B. 700 1 $aPADILHA, L. 700 1 $aMALUF, M. P. 773 $tPlant Gene$gv. 27, p. 1-9, Sept. 2021.
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Embrapa Café (CNPCa) |
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