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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Café. |
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Data corrente: |
05/02/2015 |
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Data da última atualização: |
06/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARDOSO, D. C.; MARTINATI, J. C.; GIACHETTO, P. F.; VIDAL, R. O.; CARAZZOLLE, M. F.; PADILHA, L.; GUERREIRO-FILHO, O.; MALUF, M. P. |
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Afiliação: |
DANIELLE C. CARDOSO, IAC; JULIANA C MARTINATI, IAC; POLIANA FERNANDA GIACHETTO, CNPTIA; RAMON O. VIDAL; MARCELO F. CARAZZOLLE; LILIAN PADILHA, SAPC; OLIVEIRO GUERREIRO-FILHO, IAC; MIRIAN PEREZ MALUF, SAPC. |
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Título: |
Large-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
BMC Genomics, London, v. 15, p. 1-20, 2014. |
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DOI: |
10.1186/1471-2164-15-66 |
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Idioma: |
Inglês |
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Conteúdo: |
A successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach. |
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Palavras-Chave: |
Microarranjo; Plant defense. |
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Thesagro: |
Café; Coffea Arábica. |
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Thesaurus Nal: |
Genes; Leafminers; Microarray technology. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/117310/1/Large-scale-analysis.pdf
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Marc: |
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008 2014 bl uuuu u00u1 u #d
024 7 $a10.1186/1471-2164-15-66$2DOI
100 1 $aCARDOSO, D. C.
245 $aLarge-scale analysis of differential gene expression in coffee genotypes resistant and susceptible to leaf miner-toward the identification of candidate genes for marker assisted-selection.$h[electronic resource]
260 $c2014
520 $aA successful development of herbivorous insects into plant tissues depends on coordination of metabolic processes. Plants have evolved complex mechanisms to recognize such attacks, and to trigger a defense response. To understand the transcriptional basis of this response, we compare gene expression profiles of two coffee genotypes, susceptible and resistant to leaf miner (Leucoptera coffella). A total of 22000 EST sequences from the Coffee Genome Database were selected for a microarray analysis. Fluorescence probes were synthesized using mRNA from the infested and non-infested coffee plants. Array hybridization, scanning and data normalization were performed using Nimble Scan® e ArrayStar® platforms. Genes with foldchange values +/-2 were considered differentially expressed. A validation of 18 differentially expressed genes was performed in infected plants using qRT-PCR approach.
650 $aGenes
650 $aLeafminers
650 $aMicroarray technology
650 $aCafé
650 $aCoffea Arábica
653 $aMicroarranjo
653 $aPlant defense
700 1 $aMARTINATI, J. C.
700 1 $aGIACHETTO, P. F.
700 1 $aVIDAL, R. O.
700 1 $aCARAZZOLLE, M. F.
700 1 $aPADILHA, L.
700 1 $aGUERREIRO-FILHO, O.
700 1 $aMALUF, M. P.
773 $tBMC Genomics, London$gv. 15, p. 1-20, 2014.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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