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Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars

BACKGROUND: 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 adaptatio...

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Autores principales: Mofatto, Luciana Souto, Carneiro, Fernanda de Araújo, 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, Pereira, Gonçalo Amarante Guimarães, Andrade, Alan Carvalho, Marraccini, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837521/
https://www.ncbi.nlm.nih.gov/pubmed/27095276
http://dx.doi.org/10.1186/s12870-016-0777-5
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author Mofatto, Luciana Souto
Carneiro, Fernanda de Araújo
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
Pereira, Gonçalo Amarante Guimarães
Andrade, Alan Carvalho
Marraccini, Pierre
author_facet Mofatto, Luciana Souto
Carneiro, Fernanda de Araújo
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
Pereira, Gonçalo Amarante Guimarães
Andrade, Alan Carvalho
Marraccini, Pierre
author_sort Mofatto, Luciana Souto
collection PubMed
description BACKGROUND: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0777-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-48375212016-04-21 Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars Mofatto, Luciana Souto Carneiro, Fernanda de Araújo 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 Pereira, Gonçalo Amarante Guimarães Andrade, Alan Carvalho Marraccini, Pierre BMC Plant Biol Research Article BACKGROUND: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-016-0777-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-19 /pmc/articles/PMC4837521/ /pubmed/27095276 http://dx.doi.org/10.1186/s12870-016-0777-5 Text en © Mofatto et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mofatto, Luciana Souto
Carneiro, Fernanda de Araújo
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
Pereira, Gonçalo Amarante Guimarães
Andrade, Alan Carvalho
Marraccini, Pierre
Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title_full Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title_fullStr Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title_full_unstemmed Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title_short Identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different Coffea arabica cultivars
title_sort identification of candidate genes for drought tolerance in coffee by high-throughput sequencing in the shoot apex of different coffea arabica cultivars
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4837521/
https://www.ncbi.nlm.nih.gov/pubmed/27095276
http://dx.doi.org/10.1186/s12870-016-0777-5
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