ArticlePloS one2011
Experimentally guided computational model discovers important elements for social behavior in myxobacteria.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 9 citations in OpenAlex.
- Data-driven modeling reveals cell behaviors controlling self-organization duringProceedings of the National Academy of Sciences of the United States of America · 2017Article
- Interplay between type IV pili activity and exopolysaccharides secretion controls motility patterns in single cells of Myxococcus xanthus.Scientific reports · 2016Article
- Mechanism for Collective Cell Alignment in Myxococcus xanthus Bacteria.PLoS computational biology · 2015Article
- Dual biochemical oscillators may control cellular reversals in Myxococcus xanthus.Biophysical journal · 2014Article
- Earthquake-like dynamics in Myxococcus xanthus social motility.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying essential factors in cellular interactions and organized movement of cells is important in predicting behavioral phenotypes exhibited by many bacterial cells. We chose to study Myxococcus xanthus, a soil bacterium whose individual cell behavior changes while in groups, leading to spontaneous formation of aggregation center during the early stage of fruiting body development. In this paper, we develop a cell-based computational model that solely relies on experimentally determined parameters to investigate minimal elements required to produce the observed social behaviors in M. xanthus. The model verifies previously known essential parameters and identifies one novel parameter, the active turning, which we define as the ability and tendency of a cell to turn to a certain angle without the presence of any obvious external factors. The simulation is able to produce both gliding pattern and spontaneous aggregation center formation as observed in experiments. The model is tested against several known M. xanthus mutants and our modification of parameter values relevant for the individual mutants produces good phenotypic agreements. This outcome indicates the strong predictive potential of our model for the social behaviors of uncharacterized mutants and their expected phenotypes during development.
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