ArticleJournal of bacteriology2011
Quantifying aggregation dynamics during Myxococcus xanthus development.
Article in Journal of bacteriology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Genetic and environmental determinants of streaming and aggregation in Myxococcus xanthus.Scientific reports · 2025Article
- 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
- Fatty Acid Oxidation Is Required for Myxococcus xanthus Development.Journal of bacteriology · 2018Article
- Force generation by groups of migrating bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Data-driven modeling reveals cell behaviors controlling self-organization duringProceedings of the National Academy of Sciences of the United States of America · 2017Article
- Recent advances and future prospects in bacterial and archaeal locomotion and signal transduction.Journal of bacteriology · 2017Article
- 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
- Phenotypic profiling of ABC transporter coding genes in Myxococcus xanthus.Frontiers in microbiology · 2014Article
- The mechanistic basis of Myxococcus xanthus rippling behavior and its physiological role during predation.PLoS computational biology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Under starvation conditions, a swarm of Myxococcus xanthus cells will undergo development, a multicellular process culminating in the formation of many aggregates called fruiting bodies, each of which contains up to 100,000 spores. The mechanics of symmetry breaking and the self-organization of cells into fruiting bodies is an active area of research. Here we use microcinematography and automated image processing to quantify several transient features of developmental dynamics. An analysis of experimental data indicates that aggregation reaches its steady state in a highly nonmonotonic fashion. The number of aggregates rapidly peaks at a value 2- to 3-fold higher than the final value and then decreases before reaching a steady state. The time dependence of aggregate size is also nonmonotonic, but to a lesser extent: average aggregate size increases from the onset of aggregation to between 10 and 15 h and then gradually decreases thereafter. During this process, the distribution of aggregates transitions from a nearly random state early in development to a more ordered state later in development. A comparison of experimental results to a mathematical model based on the traffic jam hypothesis indicates that the model fails to reproduce these dynamic features of aggregation, even though it accurately describes its final outcome. The dynamic features of M. xanthus aggregation uncovered in this study impose severe constraints on its underlying mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.