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

dc.creatorCardoso D.C.
dc.creatorMartinati J.C.
dc.creatorGiachetto P.F.
dc.creatorVidal R.O.
dc.creatorCarazzolle M.F.
dc.creatorPadilha L.
dc.creatorGuerreiro-Filho O.
dc.creatorMaluf M.P.
dc.date2014
dc.date2015-06-25T17:52:18Z
dc.date2015-11-26T14:15:51Z
dc.date2015-06-25T17:52:18Z
dc.date2015-11-26T14:15:51Z
dc.date.accessioned2018-03-28T21:16:48Z
dc.date.available2018-03-28T21:16:48Z
dc.identifier
dc.identifierBmc Genomics. Biomed Central Ltd., v. 15, n. 1, p. - , 2014.
dc.identifier14712164
dc.identifier10.1186/1471-2164-15-66
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84892770934&partnerID=40&md5=b62b35db6d0f9cd63d5ce3c4c7dea344
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/86260
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/86260
dc.identifier2-s2.0-84892770934
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1242908
dc.descriptionBackground: 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.Results: The microarray analysis indicated that resistant plants differ in gene expression profile. We identified relevant transcriptional changes in defense strategies before insect attack. Expression changes (>2.00-fold) were found in resistant plants for 2137 genes (1266 up-regulated and 873 down-regulated). Up-regulated genes include those responsible for defense mechanisms, hypersensitive response and genes involved with cellular function and maintenance. Also, our analyses indicated that differential expression profiles between resistant and susceptible genotypes are observed in the absence of leaf-miner, indicating that defense is already build up in resistant plants, as a priming mechanism. Validation of selected genes pointed to four selected genes as suitable candidates for markers in assisted-selection of novel cultivars.Conclusions: Our results show evidences that coffee defense responses against leaf-miner attack are balanced with other cellular functions. Also analyses suggest a major metabolic reconfiguration that highlights the complexity of this response. © 2014 Cardoso et al.; licensee BioMed Central Ltd.
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dc.languageen
dc.publisherBioMed Central Ltd.
dc.relationBMC Genomics
dc.rightsaberto
dc.sourceScopus
dc.titleLarge-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
dc.typeArtículos de revistas


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