High‐resolution transcriptional analysis of the regulatory influence of cell‐to‐cell signalling reveals novel genes that contribute to X anthomonas phytopathogenesis
Year: 2013
Type: article
Abstract: The bacterium Xanthomonas campestris is an economically important pathogen of many crop species and a model for the study of bacterial phytopathogenesis. In X. campestris, a regulatory system mediated by the signal molecule DSF controls virulence to plants. The synthesis and recognition of the DSF signal depends upon different Rpf proteins. DSF signal generation requires RpfF whereas signal perception and transduction depends upon a system comprising the sensor RpfC and regulator RpfG. Here we have addressed the action and role of Rpf/DSF signalling in phytopathogenesis by high-resolution transcriptional analysis coupled to functional genomics. We detected transcripts for many genes that were unidentified by previous computational analysis of the genome sequence. Novel transcribed regions included intergenic transcripts predicted as coding or non-coding as well as those that were antisense to coding sequences. In total, mutation of rpfF, rpfG and rpfC led to alteration in transcript levels (more than fourfold) of approximately 480 genes. The regulatory influence of RpfF and RpfC demonstrated considerable overlap. Contrary to expectation, the regulatory influence of RpfC and RpfG had limited overlap, indicating complexities of the Rpf signalling system. Importantly, functional analysis revealed over 160 new virulence factors within the group of Rpf-regulated genes.
Source: Molecular Microbiology
DOI: 10.1111/mmi.12229
Language: English
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,430
Awards: G2465808946, The HD-GYP domain and cyclic di-GMP signalling in the virulence of bacterial pathogens of humans and plants, Molecular characterisation of bacterial interspecies signalling in polymicrobial chronic lung infection: a potential target for therapeutic intervention., G4540358982, TGAC ISPG - Developing Strategies for Big Data Bioinformatics, TGAC NCG: National Genomics Facility, G7149895213
OpenAlex ID: W1700192573
