Evidence map›Paper›PMID 33900031›Full record

ArticleMolecular systems biology2021

Collective colony growth is optimized by branching pattern formation in Pseudomonas aeruginosa.

Nan Luo, Shangying Wang, Jia Lu, Xiaoyi Ouyang, Lingchong You

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Cyanobacteria and Chloroflexota cooperate to structure light-responsive biofilms.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Mechanism of branching morphogenesis inspired by diatom silica formation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Swarming ofBiophysics reviews · 2023
    Review
  11. Article
  12. Morphological instability and roughening of growing 3D bacterial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nan LuoDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0002-4363-6637
Shangying WangDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-3876-7680
Jia LuDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Xiaoyi OuyangSchool of Physics, Peking University, Beijing, China.ORCID 0000-0001-7758-7899
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.ORCID 0000-0003-3725-4007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Branching pattern formation is common in many microbes. Extensive studies have focused on addressing how such patterns emerge from local cell-cell and cell-environment interactions. However, little is known about whether and to what extent these patterns play a physiological role. Here, we consider the colonization of bacteria as an optimization problem to find the colony patterns that maximize colony growth efficiency under different environmental conditions. We demonstrate that Pseudomonas aeruginosa colonies develop branching patterns with characteristics comparable to the prediction of modeling; for example, colonies form thin branches in a nutrient-poor environment. Hence, the formation of branching patterns represents an optimal strategy for the growth of Pseudomonas aeruginosa colonies. The quantitative relationship between colony patterns and growth conditions enables us to develop a coarse-grained model to predict diverse colony patterns under more complex conditions, which we validated experimentally. Our results offer new insights into branching pattern formation as a problem-solving social behavior in microbes and enable fast and accurate predictions of complex spatial patterns in branching colonies.

Indexed as

BiomassColony Count, MicrobialComputer SimulationModels, BiologicalPseudomonas aeruginosabacterial colonybranching patterncoarse-grained modelingoptimization modelpattern formation

Identifiers

PMID33900031
PMCPMC8073002

What OpenQuestion holds

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Registered trials

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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.