
pmid: 17627825
Phytopathogens coordinate multifaceted life histories and deploy stratified virulence determinants via complex, global regulation networks. We dissect the global regulation of four distantly related model phytopathogens to evaluate large-scale events and mechanisms that determine successful pathogenesis. Overarching themes include dependence on centralized cell-to-cell communication systems, pervasive two-component signal-transduction systems, post-transcriptional regulation systems, AraC-like regulators and sigma factors. Although these common regulatory systems control virulence, each functions in different capacities, and to differing ends, in the diverse species. Hence, the virulence regulation network of each species determines its survival and success in various life histories and niches.
Virulence, Pectobacterium, Pseudomonas syringae, Gene Expression Regulation, Bacterial, Xanthomonas campestris, Bacterial Proteins, Solanum lycopersicum, Ralstonia solanacearum, Plant Diseases, Signal Transduction, Solanum tuberosum
Virulence, Pectobacterium, Pseudomonas syringae, Gene Expression Regulation, Bacterial, Xanthomonas campestris, Bacterial Proteins, Solanum lycopersicum, Ralstonia solanacearum, Plant Diseases, Signal Transduction, Solanum tuberosum
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 142 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
