Literature DB >> 29094279

High throughput transcriptome analysis of coffee reveals prehaustorial resistance in response to Hemileia vastatrix infection.

Juan Carlos Florez1, Luciana Souto Mofatto2, Rejane do Livramento Freitas-Lopes1, Sávio Siqueira Ferreira1, Eunize Maciel Zambolim1, Marcelo Falsarella Carazzolle2, Laércio Zambolim3, Eveline Teixeira Caixeta4,5.   

Abstract

KEY MESSAGE: We provide a transcriptional profile of coffee rust interaction and identified putative up regulated resistant genes Coffee rust disease, caused by the fungus Hemileia vastatrix, is one of the major diseases in coffee throughout the world. The use of resistant cultivars is considered to be the most effective control strategy for this disease. To identify candidate genes related to different mechanism defense in coffee, we present a time-course comparative gene expression profile of Caturra (susceptible) and Híbrido de Timor (HdT, resistant) in response to H. vastatrix race XXXIII infection. The main objectives were to obtain a global overview of transcriptome in both interaction, compatible and incompatible, and, specially, analyze up-regulated HdT specific genes with inducible resistant and defense signaling pathways. Using both Coffea canephora as a reference genome and de novo assembly, we obtained 43,159 transcripts. At early infection events (12 and 24 h after infection), HdT responded to the attack of H. vastatrix with a larger number of up-regulated genes than Caturra, which was related to prehaustorial resistance. The genes found in HdT at early hours were involved in receptor-like kinases, response ion fluxes, production of reactive oxygen species, protein phosphorylation, ethylene biosynthesis and callose deposition. We selected 13 up-regulated HdT-exclusive genes to validate by real-time qPCR, which most of them confirmed their higher expression in HdT than in Caturra at early stage of infection. These genes have the potential to assist the development of new coffee rust control strategies. Collectively, our results provide understanding of expression profiles in coffee-H. vastatrix interaction over a time course in susceptible and resistant coffee plants.

Entities:  

Keywords:  Biotrophic interaction; Coffee rust; Disease resistance; Transcriptome

Mesh:

Substances:

Year:  2017        PMID: 29094279     DOI: 10.1007/s11103-017-0676-7

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  54 in total

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Journal:  Mol Plant Pathol       Date:  2014-08-22       Impact factor: 5.663

2.  Molecular characterisation and origin of the Coffea arabica L. genome.

Authors:  P Lashermes; M C Combes; J Robert; P Trouslot; A D'Hont; F Anthony; A Charrier
Journal:  Mol Gen Genet       Date:  1999-03

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Authors:  Hua Lu; Debra N Rate; Jong Tae Song; Jean T Greenberg
Journal:  Plant Cell       Date:  2003-09-24       Impact factor: 11.277

4.  Transcriptome analysis in Coffea eugenioides, an Arabica coffee ancestor, reveals differentially expressed genes in leaves and fruits.

Authors:  Priscila Mary Yuyama; Osvaldo Reis Júnior; Suzana Tiemi Ivamoto; Douglas Silva Domingues; Marcelo Falsarella Carazzolle; Gonçalo Amarante Guimarães Pereira; Pierre Charmetant; Thierry Leroy; Luiz Filipe Protasio Pereira
Journal:  Mol Genet Genomics       Date:  2015-09-03       Impact factor: 3.291

5.  Sr36- and Sr5-Mediated Resistance Response to Puccinia graminis f. sp. tritici Is Associated with Callose Deposition in Wheat Guard Cells.

Authors:  X Wang; B D McCallum; T Fetch; G Bakkeren; B J Saville
Journal:  Phytopathology       Date:  2015-06-09       Impact factor: 4.025

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

7.  Expression analysis reveals a role for hydrophobic or epicuticular wax signals in pre-penetration structure formation of Phakopsora pachyrhizi.

Authors:  Yasuhiro Ishiga; Srinivasa Upplapapti; Kirankumar S Mysore
Journal:  Plant Signal Behav       Date:  2013-11-01

8.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  PEAR: a fast and accurate Illumina Paired-End reAd mergeR.

Authors:  Jiajie Zhang; Kassian Kobert; Tomáš Flouri; Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2013-10-18       Impact factor: 6.937

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  2 in total

1.  Prehaustorial local resistance to coffee leaf rust in a Mexican cultivar involves expression of salicylic acid-responsive genes.

Authors:  Edgar Couttolenc-Brenis; Gloria L Carrión; Luc Villain; Fernando Ortega-Escalona; Daniel Ramírez-Martínez; Martín Mata-Rosas; Alfonso Méndez-Bravo
Journal:  PeerJ       Date:  2020-01-22       Impact factor: 2.984

Review 2.  Brazilian Coffee Production and the Future Microbiome and Mycotoxin Profile Considering the Climate Change Scenario.

Authors:  Deiziane Gomes Dos Santos; Caroline Corrêa de Souza Coelho; Anna Beatriz Robottom Ferreira; Otniel Freitas-Silva
Journal:  Microorganisms       Date:  2021-04-16
  2 in total

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