Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327698
Type: Artigo
Title: Identification Of Candidate Genes For Drought Tolerance In Coffee By High-throughput Sequencing In The Shoot Apex Of Different Coffea Arabica Cultivars
Author: Mofatto
Luciana Souto; Carneiro
Fernanda de Arajo; Vieira
Natalia Gomes; Duarte
Karoline Estefani; Vidal
Ramon Oliveira; Alekcevetch
Jean Carlos; Cotta
Michelle Guitton; Verdeil
Jean-Luc; Lapeyre-Montes
Fabienne; Lartaud
Marc; Leroy
Thierry; De Bellis
Fabien; Pot
David; Rodrigues
Gustavo Costa; Carazzolle
Marcelo Falsarella; Guimaraes Pereira
Goncalo Amarante; Andrade
Alan Carvalho; Marraccini
Pierre
Abstract: Drought is a widespread limiting factor in coffee plants. It affects plant development, fruit production, bean development and consequently beverage quality. Genetic diversity for drought tolerance exists within the coffee genus. However, the molecular mechanisms underlying the adaptation of coffee plants to drought are largely unknown. In this study, we compared the molecular responses to drought in two commercial cultivars (IAPAR59, drought-tolerant and Rubi, drought-susceptible) of Coffea arabica grown in the field under control (irrigation) and drought conditions using the pyrosequencing of RNA extracted from shoot apices and analysing the expression of 38 candidate genes. Results: Pyrosequencing from shoot apices generated a total of 34.7 Mbp and 535,544 reads enabling the identification of 43,087 clusters (41,512 contigs and 1,575 singletons). These data included 17,719 clusters (16,238 contigs and 1,575 singletons) exclusively from 454 sequencing reads, along with 25,368 hybrid clusters assembled with 454 sequences. The comparison of DNA libraries identified new candidate genes (n = 20) presenting differential expression between IAPAR59 and Rubi and/or drought conditions. Their expression was monitored in plagiotropic buds, together with those of other (n = 18) candidates genes. Under drought conditions, up-regulated expression was observed in IAPAR59 but not in Rubi for CaSTK1 (protein kinase), CaSAMT1 (SAM-dependent methyltransferase), CaSLP1 (plant development) and CaMAS1 (ABA biosynthesis). Interestingly, the expression of lipid-transfer protein (nsLTP) genes was also highly up-regulated under drought conditions in IAPAR59. This may have been related to the thicker cuticle observed on the abaxial leaf surface in IAPAR59 compared to Rubi. Conclusions: The full transcriptome assembly of C. arabica, followed by functional annotation, enabled us to identify differentially expressed genes related to drought conditions. Using these data, candidate genes were selected and their differential expression profiles were confirmed by qPCR experiments in plagiotropic buds of IAPAR59 and Rubi under drought conditions. As regards the genes up-regulated under drought conditions, specifically in the drought-tolerant IAPAR59, several corresponded to orphan genes but also to genes coding proteins involved in signal transduction pathways, as well as ABA and lipid metabolism, for example. The identification of these genes should help advance our understanding of the genetic determinism of drought tolerance in coffee.
Subject: Candidate Gene
Coffee
Drought
Differential Gene Expression
Rna-seq
Real-time Pcr (rt-qpcr)
Editor: Biomed Central Ltd
London
Rights: aberto
Identifier DOI: 10.1186/s12870-016-0777-5
Address: https://bmcplantbiol.biomedcentral.com.ez88.periodicos.capes.gov.br/articles/10.1186/s12870-016-0777-5
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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