Genome and transcriptome analysis to reveal adaptation to new environments and hosts

Gagnevin Lionel, Roux Bernard, Bolot Stéphanie, Carrère Sébastien, Charbit E., Cunnac Sébastien, Jacques Marie Agnès, Noel Laurent D., Arlat Mathieu, Koebnik Ralf. 2013. Genome and transcriptome analysis to reveal adaptation to new environments and hosts. Phytopathology, 103 (6), suppl. S2 : S2.170-S2.171. APS-MSA Conference, Austin, États-Unis, 10 August 2013/14 August 2013.

Journal article ; Article de revue à facteur d'impact
Published version - Anglais
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PHYTO-103-6-S2.170_Genome and transcriptome analysis.pdf

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Quartile : Q1, Sujet : PLANT SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : Pathovars of Xanthomonas are interesting working models for the analysis of mechanisms of adaptation and specialization to hosts, plant tissues, niches and environments. The understanding of such mechanisms is important on practical and academic points of view since they can help explain how emergence of new diseases or of diseases in new situations may occur. Four research groups belonging to the French Network on Xanthomonas (FNX) have recently focused on genome and transcriptome sequencing of several pathovars of Xanthomonas chosen for their adaptation particularities, in a project called “Xanthomix”. Xanthomonas strains attacking Anacardiaceae, citrus, crucifers, legumes or rice were selected to help understand adaptation processes: genetic structure revealing either convergence or divergence for causing a specific disease on a specific host ; host tissue specialization (xylem vs. mesophyll) ; virulence variation (broad vs. narrow host range); contrasted epidemic situation (endemic vs. epidemic). RNAseq experiments were performed on a large set of strains to determine the extent and the diversity of the hrp regulon. In addition, the RNAseq dataset is also being used to improve Xanthomonas genome annotation and gene prediction. Analysis of transcripts allowed us to scan for unknown specific and non-specific effectors as well as small non-coding RNAs and hypothesize new mechanisms that could be involved in adaptation to host and environment. (Texte intégral)

Classification Agris : H20 - Plant diseases

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

Auteurs et affiliations

  • Gagnevin Lionel, CIRAD-BIOS-UMR PVBMT (REU)
  • Roux Bernard, INRA (FRA)
  • Bolot Stéphanie, INRA (FRA)
  • Carrère Sébastien, INRA (FRA)
  • Charbit E., INRA (FRA)
  • Cunnac Sébastien, IRD (FRA)
  • Jacques Marie Agnès, INRA (FRA)
  • Noel Laurent D., INRA (FRA)
  • Arlat Mathieu, INRA (FRA)
  • Koebnik Ralf, IRD (FRA)

Source : Cirad-Agritrop (

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