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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
02/02/2005 |
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Data da última atualização: |
02/02/2005 |
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Autoria: |
ABDON, M. de M.; SILVA, J. do S. V.; POTT. A.; POTT, V. J.; SANTOS, R. F. dos; VIEIRA, L. M.; SOUSA, M. P. de. |
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Afiliação: |
INPE. |
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Título: |
Impactos ambientais na bacia hifrográfica do rio Taquari: resultados preliminares. |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
In: ENCONTRO DE CIÊNCIA E TECNOLOGIA EM MATO GROSSO DO SUL, 2., 2002, Campo Grande. Resumos... Campo Grande: Superintendência de Ciência e Tecnologia, 2002. |
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Páginas: |
p. 387-390. |
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Idioma: |
Português |
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Notas: |
CNPGC.
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Conteúdo: |
Indicar ou adaptar método de avaliação de impacto ambiental para área alagável, tendo a Bacia Hidrográfica do Rio Taquari como estudo de caso. |
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Palavras-Chave: |
Bacia hifrográfica; Brasil; Hydrography; Mato Grosso do Sul; Methods; Taquari. |
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Thesagro: |
Ecologia; Impacto Ambiental; Meio Ambiente; Método. |
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Thesaurus Nal: |
Brazil; ecology; environment; environmental impact. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01248naa a2200385 a 4500
001 1325742
005 2005-02-02
008 2002 bl uuuu u00u1 u #d
100 1 $aABDON, M. de M.
245 $aImpactos ambientais na bacia hifrográfica do rio Taquari$bresultados preliminares.
260 $c2002
300 $ap. 387-390.
500 $aCNPGC.
520 $aIndicar ou adaptar método de avaliação de impacto ambiental para área alagável, tendo a Bacia Hidrográfica do Rio Taquari como estudo de caso.
650 $aBrazil
650 $aecology
650 $aenvironment
650 $aenvironmental impact
650 $aEcologia
650 $aImpacto Ambiental
650 $aMeio Ambiente
650 $aMétodo
653 $aBacia hifrográfica
653 $aBrasil
653 $aHydrography
653 $aMato Grosso do Sul
653 $aMethods
653 $aTaquari
700 1 $aSILVA, J. do S. V.
700 1 $aPOTT. A.
700 1 $aPOTT, V. J.
700 1 $aSANTOS, R. F. dos
700 1 $aVIEIRA, L. M.
700 1 $aSOUSA, M. P. de
773 $tIn: ENCONTRO DE CIÊNCIA E TECNOLOGIA EM MATO GROSSO DO SUL, 2., 2002, Campo Grande. Resumos... Campo Grande: Superintendência de Ciência e Tecnologia, 2002.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Café. |
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Data corrente: |
22/06/2021 |
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Data da última atualização: |
23/06/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
GUIMARÃES, P. S.; SCHENK, J. C. M.; CINTRA, L. C.; GIACHETTO, P. F.; SILVAROLLA, M. B.; PADILHA, L.; MALUF, M. P. |
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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. |
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Título: |
Large-scale prospection of genes on caffeine-free Coffea arabica plants - discovery of novel markers associated with development and secondary metabolism. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Plant Gene, v. 27, p. 1-9, Sept. 2021. |
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DOI: |
https://doi.org/10.1016/j.plgene.2021.100314 |
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Idioma: |
Inglês |
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Notas: |
Article 100314. |
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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. |
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Palavras-Chave: |
Assisted-selection; Caffeine-free plants; Coffee; Differential expression; Expressão gênica; RNAseq; Seleção assistida. |
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Thesagro: |
Café Descafeinado; Cafeína; Coffea Arábica. |
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Thesaurus NAL: |
Caffeine; Gene expression. |
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Categoria do assunto: |
-- |
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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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