Small GTPase patterning: How to stabilise cluster coexistence

• Published in: PloS one Vol. 14; no. 3; p. e0213188
• Main Authors: Jacobs, Bas, Molenaar, Jaap, Deinum, Eva E.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 07.03.2019; Public Library of Science (PLoS)
• Subjects: Animals; Biology and Life Sciences; Biometris (WU MAT); Cell membranes; EPS; Fungal Proteins - chemistry; Fungal Proteins - metabolism; Fungi - metabolism; Genetic aspects; GTPases; Mathematical and Statistical Methods - Biometris; Models, Molecular; Monomeric GTP-Binding Proteins - chemistry; Monomeric GTP-Binding Proteins - metabolism; PE&RC; Physical Sciences; Physiological aspects; Proteins; Research and Analysis Methods; Wiskundige en Statistische Methoden - Biometris; Netherlands
• DOI: 10.1371/journal.pone.0213188
• ISSN: 1932-6203

Many biological processes have to occur at specific locations on the cell membrane. These locations are often specified by the localised activity of small GTPase proteins. Some processes require the formation of a single cluster of active GTPase, also called unipolar polarisation (here "polarisation"), whereas others need multiple coexisting clusters. Moreover, sometimes the pattern of GTPase clusters is dynamically regulated after its formation. This raises the question how the same interacting protein components can produce such a rich variety of naturally occurring patterns. Most currently used models for GTPase-based patterning inherently yield polarisation. Such models may at best yield transient coexistence of at most a few clusters, and hence fail to explain several important biological phenomena. These existing models are all based on mass conservation of total GTPase and some form of direct or indirect positive feedback. Here, we show that either of two biologically plausible modifications can yield stable coexistence: including explicit GTPase turnover, i.e., breaking mass conservation, or negative feedback by activation of an inhibitor like a GAP. Since we start from two different polarising models our findings seem independent of the precise self-activation mechanism. By studying the net GTPase flows among clusters, we provide insight into how these mechanisms operate. Our coexistence models also allow for dynamical regulation of the final pattern, which we illustrate with examples of pollen tube growth and the branching of fungal hyphae. Together, these results provide a better understanding of how cells can tune a single system to generate a wide variety of biologically relevant patterns.