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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
05/01/2024 |
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Data da última atualização: |
05/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PASCHOAL, A. R.; FERNANDES, E. D. M.; SILVA, J. C.; LOPES, F. M.; PEREIRA, L. F. P.; DOMINGUES, D. S. |
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Afiliação: |
A. R. PASCHOAL, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; E. D. M. FERNANDES, INSTITUTO AGRONÔMICO DO PARANÁ; J. C. SILVA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; F. M. LOPES, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; LUIZ FILIPE PROTASIO PEREIRA, CNPCa; D. S. DOMINGUES, INSTITUTO AGRONÔMICO DO PARANÁ. |
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Título: |
CoffeebEST: an integrated resource for Coffea spp expressed sequence tags. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 13, n. 4, p. 10913-10920, 2014. |
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Idioma: |
Português |
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Conteúdo: |
Coffee is one of the most important commodities in the world, and its production relies mainly on two species, Coffea arabica and Coffea canephora. Although there are diverse transcriptome datasets available for coffee trees, few research groups have exploited the potential knowledge contained in these data, especially with respect to fruit and seed development. Here, we present a comparative analysis of the transcriptomes of Coffea arabica and Coffea canephora with a focus on fruit development using publicly available expressed sequence tags (ESTs). Most of the fruit and seed EST data has been obtained from C. canephora. Therefore, we performed a fruit EST analysis of the 5 developmental stages of this species (18, 22, 30, 42, and 46 weeks after flowering) comprising 29,009 sequences. We compared C. canephora fruit ESTs to reference unigenes of C. canephora (7710 contigs and 8955 singletons) and C. arabica (15,656 contigs and 16,351 singletons). Additional analyses included functional annotation based on Gene Onthology, as well as an annotation using PlantCyc, a curated plant protein database. The Coffee Bean EST (CoffeebEST) is a public database available at http://bioinfo-02.cp.utfpr.edu.br/. This database represents an additional resource for the coffee scientific community, offering a user-friendly collection of information for non-specialists in coffee molecular biology to support experimental research on comparative and functional genomics. |
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Thesagro: |
Coffea Arábica; Coffea Canephora. |
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Thesaurus Nal: |
Bioinformatics; Expressed sequence tags; Fruits; Transcriptome. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160475/1/CoffeebEST.pdf
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Marc: |
LEADER 02211naa a2200253 a 4500
001 2160475
005 2024-01-05
008 2014 bl uuuu u00u1 u #d
100 1 $aPASCHOAL, A. R.
245 $aCoffeebEST$ban integrated resource for Coffea spp expressed sequence tags.$h[electronic resource]
260 $c2014
520 $aCoffee is one of the most important commodities in the world, and its production relies mainly on two species, Coffea arabica and Coffea canephora. Although there are diverse transcriptome datasets available for coffee trees, few research groups have exploited the potential knowledge contained in these data, especially with respect to fruit and seed development. Here, we present a comparative analysis of the transcriptomes of Coffea arabica and Coffea canephora with a focus on fruit development using publicly available expressed sequence tags (ESTs). Most of the fruit and seed EST data has been obtained from C. canephora. Therefore, we performed a fruit EST analysis of the 5 developmental stages of this species (18, 22, 30, 42, and 46 weeks after flowering) comprising 29,009 sequences. We compared C. canephora fruit ESTs to reference unigenes of C. canephora (7710 contigs and 8955 singletons) and C. arabica (15,656 contigs and 16,351 singletons). Additional analyses included functional annotation based on Gene Onthology, as well as an annotation using PlantCyc, a curated plant protein database. The Coffee Bean EST (CoffeebEST) is a public database available at http://bioinfo-02.cp.utfpr.edu.br/. This database represents an additional resource for the coffee scientific community, offering a user-friendly collection of information for non-specialists in coffee molecular biology to support experimental research on comparative and functional genomics.
650 $aBioinformatics
650 $aExpressed sequence tags
650 $aFruits
650 $aTranscriptome
650 $aCoffea Arábica
650 $aCoffea Canephora
700 1 $aFERNANDES, E. D. M.
700 1 $aSILVA, J. C.
700 1 $aLOPES, F. M.
700 1 $aPEREIRA, L. F. P.
700 1 $aDOMINGUES, D. S.
773 $tGenetics and Molecular Research$gv. 13, n. 4, p. 10913-10920, 2014.
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Embrapa Café (CNPCa) |
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