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Pérez-Velázquez, J. ; Quinones, B.* ; Hense, B.A. ; Kuttler, C.*

A mathematical model to investigate quorum sensing regulation and its heterogeneity in Pseudomonas syringae on leaves.

Ecol. Complex. 21, 128-141 (2015)
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Pseudomonas syringae is a plant-pathogen which, through the signalling system quorum sensing (QS), controls virulence. In this paper, we use the integral of a non-negative stochastic process to study the QS state of the bacterial colonies it forms when living on leaf surfaces. We investigate the extent to which factors such as water availability and diffusional losses of QS signalling molecules (autoinducers) would affect QS across colonies. Our results support that QS activation is indeed a good indicator of diffusional limitation, as QS is enhanced when diffusion of autoinducers signal decreases (either as a result of water availability or loss by diffusion). Using further experimental data, we explore heterogeneity of QS activation of this bacterium (colonies do not become homogeneously activated) when growing in this natural habitat. We extend our model to test a hypothesis regarding the initial QS potential of the cells. We are able to conclude that stochastic growth and uneven nutrient availability of the leaf surface may contribute only partially to the heterogeneity observed. We discuss the possible (evolutionary) explanations of this strategy.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Ahl ; Autoinducers ; Population Growth Dynamics ; Pseudomonas Syringae ; Quorum Sensing ; Signal Molecules ; Stochastic Process; Aeruginosa Biofilms; Regulation Systems; Gene-expression; Single Cells; Leaf Surface; Bacteria; Phyllosphere; Size; Availability; Environment
ISSN (print) / ISBN 1476-945X
e-ISSN 1476-945X
Zeitschrift Ecological Complexity
Quellenangaben Band: 21, Heft: , Seiten: 128-141 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Amsterdam
Begutachtungsstatus Peer reviewed