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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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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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Registro original: |
Embrapa Café (CNPCa) |
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