Literature DB >> 23470514

Transcriptome profiling of Xanthomonas campestris pv. campestris grown in minimal medium MMX and rich medium NYG.

Wei Liu1, Yan-Hua Yu, Shi-Yuan Cao, Xiang-Na Niu, Wei Jiang, Guo-Fang Liu, Bo-Le Jiang, Dong-Jie Tang, Guang-Tao Lu, Yong-Qiang He, Ji-Liang Tang.   

Abstract

Xanthomonas campestris pathovar campestris (Xcc) is the causal agent of black rot disease in cruciferous plants worldwide. Although the complete genomes of several Xcc strains have been determined, the gene expression and regulation mechanisms in this pathogen are far from clear. In this work, transcriptome profiling of Xcc 8004 grown in MMX medium (minimal medium for Xanthomonas campestris) and NYG medium (peptone yeast glycerol medium) were investigated by RNA-Seq. Using the Illumina HiSeq 2000 platform, a total of 26,514,630 reads (90 nt in average) were generated, of which 15,708,478 reads mapped uniquely to coding regions of Xcc 8004 genome. Of the 4273 annotated protein-coding genes of Xcc 8004, 629 were found differentially expressed in Xcc grown in MMX and NYG. Of the differentially expressed genes, 495 were up-regulated and 134 were down-regulated in MMX. The MMX-induced genes are mainly involved in amino acid metabolism, transport systems, atypical condition adaptation and pathogenicity, especially the type III secretion system, while the MMX-repressed genes are mainly involved in chemotaxis and degradation of small molecules. The global transcriptome analyzes of Xcc 8004 grown in MMX and NYG might facilitate the gene functional characterization of this phytopathogenic bacterium.
Copyright © 2013 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.

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Year:  2013        PMID: 23470514     DOI: 10.1016/j.resmic.2013.02.005

Source DB:  PubMed          Journal:  Res Microbiol        ISSN: 0923-2508            Impact factor:   3.992


  9 in total

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9.  Genomics and transcriptomics of Xanthomonas campestris species challenge the concept of core type III effectome.

Authors:  Brice Roux; Stéphanie Bolot; Endrick Guy; Nicolas Denancé; Martine Lautier; Marie-Françoise Jardinaud; Marion Fischer-Le Saux; Perrine Portier; Marie-Agnès Jacques; Lionel Gagnevin; Olivier Pruvost; Emmanuelle Lauber; Matthieu Arlat; Sébastien Carrère; Ralf Koebnik; Laurent D Noël
Journal:  BMC Genomics       Date:  2015-11-18       Impact factor: 3.969

  9 in total

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