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.
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.
Author(s): CARDOSO, D. C.; MARTINATI, J. C.; GIACHETTO, P. F.; VIDAL, R. O.; CARAZZOLLE, M. F.; PADILHA, L.; GUERREIRO-FILHO, O.; MALUF, M. P.
Summary: 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.
Publication year: 2014
Types of publication: Journal article
Keywords: Café, Coffea Arábica, Genes, Leafminers, Microarranjo, Microarray technology, Plant defense
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