Evidence map›Paper›PMID 37973866›Full record

ArticleNature microbiology2023

Simultaneous spatiotemporal transcriptomics and microscopy of Bacillus subtilis swarm development reveal cooperation across generations.

Hannah Jeckel, Kazuki Nosho, Konstantin Neuhaus, Alasdair D Hastewell, Dominic J Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher

Abstract read
In one paragraph

Article in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. The 2025 motile active matter roadmap.Journal of physics. Condensed matter : an Institute of Physics journal · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Active interface bulging inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. MOB rules: Antibiotic Exposure Reprograms Metabolism to MobilizebioRxiv : the preprint server for biology · 2024
    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

10 authors.

Hannah Jeckel *Biozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-7080-4907
Kazuki Nosho *Biozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-4811-1397
Konstantin NeuhausBiozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-9877-5765
Alasdair D HastewellDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Dominic J SkinnerNSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL, USA.ORCID 0000-0002-2698-041X
Dibya SahaBiozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-9891-2926
Niklas NetterBiozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0001-5053-5554
Nicole PacziaMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0003-3859-8186
Jörn DunkelDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA. dunkel@mit.edu.ORCID 0000-0001-8865-2369
Knut DrescherBiozentrum, University of Basel, Basel, Switzerland. knut.drescher@unibas.ch.ORCID 0000-0002-7340-2444

Funding

Alfred P. Sloan Foundation G-2021-16758Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) TARGET-Biofilms 16GW0245Deutsche Forschungsgemeinschaft (German Research Foundation) DR 982/5-1Deutsche Forschungsgemeinschaft (German Research Foundation) DR 982/6-1 SPP2389EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 716734National Science Foundation (NSF) DMS-1764421Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 51NF40_180541 AntiResistSimons Foundation 597491
6 · The paper itself

Abstract

Development of microbial communities is a complex multiscale phenomenon with wide-ranging biomedical and ecological implications. How biological and physical processes determine emergent spatial structures in microbial communities remains poorly understood due to a lack of simultaneous measurements of gene expression and cellular behaviour in space and time. Here we combined live-cell microscopy with a robotic arm for spatiotemporal sampling, which enabled us to simultaneously acquire phenotypic imaging data and spatiotemporal transcriptomes during Bacillus subtilis swarm development. Quantitative characterization of the spatiotemporal gene expression patterns revealed correlations with cellular and collective properties, and phenotypic subpopulations. By integrating these data with spatiotemporal metabolome measurements, we discovered a spatiotemporal cross-feeding mechanism fuelling swarm development: during their migration, earlier generations deposit metabolites which are consumed by later generations that swarm across the same location. These results highlight the importance of spatiotemporal effects during the emergence of phenotypic subpopulations and their interactions in bacterial communities.

Indexed as

Bacillus subtilisMicroscopyGene Expression ProfilingTranscriptome

Identifiers

PMID37973866
PMCPMC10686836

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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.