Nature CommunicationsBiophysicsPeer-reviewed journal article
Surface remodeling and inversion of cell-matrix interactions underlies community recognition and dispersal in Vibrio cholerae biofilms
Alexis Moreau, Dang H. NguyeniD, Alexander J. Hinbest, Anthony Zamora, Ranjuna WeerasekeraiD, Katherine MatejiD, Xuening ZhouiD, Sandra SáncheziD, Ignacio A. Rodriguez-BrenesiD, Jung‐Shen B. TaiiD, Carey D. NadelliD, Wai‐Leung NgiD, Vernita Diane GordoniD, Natalia L. KomarovaiD, Rich OlsoniD, Ying LiiD, Jing Quan YaniD
Abstract
Biofilms are ubiquitous surface-associated bacterial communities embedded in an extracellular matrix. While it is commonly assumed that biofilm-dwelling cells are glued together by the matrix, how the cell-matrix interaction depends on the specific biochemistry of the matrix components and how this interaction varies during biofilm growth remains unclear. Here, we investigated cell-matrix interactions in Vibrio cholerae (Vc), the causative agent of cholera. We combine genetics, microscopy, simulation, and biochemical tools to show that Vc cells are not attractive to Vibrio polysaccharide (VPS), the main matrix component, but they can be bridged with each other and to the VPS network through crosslinking by Bap1. Downregulation of VPS and surface trimming by the polysaccharide lyase RbmB cause surface remodeling as biofilms age, shifting the nature of cell-matrix interactions from attractive to repulsive and facilitating cell dispersal as aggregated groups. Our results suggest a new conceptual model in understanding the intricate cell-matrix interaction as the major driver for biofilm development, which is potentially generalizable to certain other biofilm-forming species and exopolysaccharides.
- organism: bacteria (other)
- assay: proteomics
- assay: metagenomics
- research focus: cell type annotation
- research focus: clustering
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: experimental assay
- approach: microscopy & imaging analysis
- approach: biophysical modeling
- approach: statistical model
- Citations
- 21
- FWCI
- 5.80
- Field percentile
- top 3%
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