Signal transduction schemes in Pseudomonas syringae
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Pages (from-to) | 3415-3424 |
Journal / Publication | Computational and Structural Biotechnology Journal |
Volume | 18 |
Online published | 9 Nov 2020 |
Publication status | Published - 2020 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85096655015&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(389247c1-74fa-47f9-89e4-b507287b471d).html |
Abstract
To cope with their continually fluctuating surroundings, pathovars of the unicellular phytopathogen Pseudomonas syringae have developed rapid and sophisticated signalling networks to sense extracellular stimuli, which allow them to adjust their cellular composition to survive and cause diseases in host plants. Comparative genomic analyses of P. syringae strains have identified various genes that encode several classes of signalling proteins, although how this bacterium directly perceives these environmental cues remains elusive. Recent work has revealed new mechanisms of a cluster of bacterial signal transduction systems that mainly include two-component systems (such as RhpRS, GacAS, CvsRS and AauRS), extracytoplasmic function sigma factors (such as HrpL and AlgU), nucleotide-based secondary messengers, methyl-accepting chemotaxis sensor proteins and several other intracellular surveillance systems. In this review, we compile a list of the signal transduction mechanisms that P. syringae uses to monitor and respond in a timely manner to intracellular and external conditions. Further understanding of these surveillance processes will provide new perspectives from which to combat P. syringae infections.
Research Area(s)
- Pseudomonas syringae, Signal transduction systems
Citation Format(s)
Signal transduction schemes in Pseudomonas syringae. / Xie, Yingpeng; Liu, Wenbao; Shao, Xiaolong et al.
In: Computational and Structural Biotechnology Journal, Vol. 18, 2020, p. 3415-3424.
In: Computational and Structural Biotechnology Journal, Vol. 18, 2020, p. 3415-3424.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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