ArticleProceedings of the National Academy of Sciences of the United States of America2011
Statistical image analysis reveals features affecting fates of Myxococcus xanthus developmental aggregates.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 37 citations in OpenAlex.
- Deep learning framework for quantifying self-organization inProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Mutation of self-binding sites in the promoter of the MrpC transcriptional regulator leads to asynchronousFrontiers in microbiology · 2023Article
- Social selection within aggregative multicellular development drives morphological evolution.Proceedings. Biological sciences · 2021Article
- Cell density, alignment, and orientation correlate with C-signal-dependent gene expression duringProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Data-Driven Models Reveal Mutant Cell Behaviors Important for Myxobacterial Aggregation.mSystems · 2020Article
- Agent-Based Modeling Reveals Possible Mechanisms for Observed Aggregation Cell Behaviors.Biophysical journal · 2018Article
- Ultrasensitive Response of Developing Myxococcus xanthus to the Addition of Nutrient Medium Correlates with the Level of MrpC.Journal of bacteriology · 2018Article
- Fatty Acid Oxidation Is Required for Myxococcus xanthus Development.Journal of bacteriology · 2018Article
- Data-driven modeling reveals cell behaviors controlling self-organization duringProceedings of the National Academy of Sciences of the United States of America · 2017Article
- Myxobacteria: Moving, Killing, Feeding, and Surviving Together.Frontiers in microbiology · 2016Review
- Myxococcus CsgA, Drosophila Sniffer, and human HSD10 are cardiolipin phospholipases.Genes & development · 2015Article
- Short-range guiding can result in the formation of circular aggregates in myxobacteria populations.PLoS computational biology · 2015Article
- Cell division resets polarity and motility for the bacterium Myxococcus xanthus.Journal of bacteriology · 2014Article
- Describing Myxococcus xanthus aggregation using Ostwald ripening equations for thin liquid films.Scientific reports · 2014Article
- Increasing the Content of High-Content Screening: An Overview.Journal of biomolecular screening · 2014Review
- Myxococcus xanthus gliding motors are elastically coupled to the substrate as predicted by the focal adhesion model of gliding motility.PLoS computational biology · 2014Article
- Phenotypic profiling of ABC transporter coding genes in Myxococcus xanthus.Frontiers in microbiology · 2014Article
- Convergent evolution of hyperswarming leads to impaired biofilm formation in pathogenic bacteria.Cell reports · 2013Article
- Article
- Quantifying aggregation dynamics during Myxococcus xanthus development.Journal of bacteriology · 2011Article
Corrections and comments
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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
Starving Myxococcus xanthus bacteria use their motility systems to self-organize into multicellular fruiting bodies, large mounds in which cells differentiate into metabolically inert spores. Despite the identification of the genetic pathways required for aggregation and the use of microcinematography to observe aggregation dynamics in WT and mutant strains, a mechanistic understanding of aggregation is still incomplete. For example, it is not clear why some of the initial aggregates mature into fruiting bodies, whereas others disperse, merge, or split into two. Here, we develop high-throughput image quantification and statistical analysis methods to gain insight into M. xanthus developmental aggregation dynamics. A quantitative metric of features characterizing each aggregate is used to deduce the properties of the aggregates that are correlated with each fate. The analysis shows that small aggregate size but not neighbor-related parameters correlate with aggregate dispersal. Furthermore, close proximity is necessary but not sufficient for aggregate merging. Finally, splitting occurs for those aggregates that are unusually large and elongated. These observations place severe constraints on the underlying aggregation mechanisms and present strong evidence against the role of long-range morphogenic gradients or biased cell exchange in the dispersal, merging, or splitting of transient aggregates. This approach can be expanded and adapted to study self-organization in other cellular systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.