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|Research center of Embrapa/Collection:||Embrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)|
|Type of Material:||Artigo em periódico indexado (ALICE)|
|Authors:||CARDOSO, D. C.|
MARTINATI, J. C.
GIACHETTO, P. F.
VIDAL, R. O.
CARAZZOLLE, M. F.
MALUF, M. P.
|Additional Information:||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.|
|Title:||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.|
|Publisher:||BMC Genomics, London, v. 15, p. 1-20, 2014.|
|Description:||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.|
|Appears in Collections:||Artigo em periódico indexado (CNPTIA)|