Evidence map›Paper›PMID 39853129›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2025

Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.

Suyen Solange Espinoza Miranda, Gorkhmaz Abbaszade, Wolfgang R Hess, Knut Drescher, Antoine-Emmanuel Saliba, Vasily Zaburdaev, Liraz Chai, Klaus Dreisewerd, Alexander Grünberger, Christian Westendorf and 2 more

Abstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

12 authors.

Suyen Solange Espinoza Miranda *Institute for Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany.ORCID 0000-0003-3264-062X
Gorkhmaz Abbaszade *Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.ORCID 0000-0001-8451-9579
Wolfgang R HessFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-5340-3423
Knut DrescherBiozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-7340-2444
Antoine-Emmanuel SalibaInstitute for Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany.ORCID 0000-0001-8539-2784
Vasily ZaburdaevDepartment of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-8234-3442
Liraz ChaiInstitute of Chemistry, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID 0000-0001-9644-4455
Klaus DreisewerdInstitute of Hygiene, University of Münster, Münster, Germany.ORCID 0000-0002-7619-808X
Alexander GrünbergerMicrosystems in Bioprocess Engineering (μBVT), Institute of Process Engineering in Life Sciences (BLT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.ORCID 0000-0002-7564-4957
Christian WestendorfPeter Debye Institute for Soft Matter Physics, Leipzig University, Leipzig, Germany.ORCID 0000-0001-7663-6150
Susann Müller *Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.ORCID 0000-0003-2060-6256
Thorsten Mascher *General Microbiology, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0002-6300-5541

Funding

Deutsche Forschungsgemeinschaft (DFG) 503267551, 504049752Deutsche Forschungsgemeinschaft (DFG) 503905203Deutsche Forschungsgemeinschaft (DFG) 503940974Deutsche Forschungsgemeinschaft (DFG) 503995533Deutsche Forschungsgemeinschaft (DFG) 504017689Deutsche Forschungsgemeinschaft (DFG) 504072468Deutsche Forschungsgemeinschaft (DFG) 504222949
6 · The paper itself

Abstract

SUMMARYThe development of multicellularity represents a key evolutionary transition that is crucial for the emergence of complex life forms. Although multicellularity has traditionally been studied in eukaryotes, it originates in prokaryotes. Coordinated aggregation of individual cells within the confines of a colony results in emerging, higher-level functions that benefit the population as a whole. During colony differentiation, an almost infinite number of ecological and physiological population-forming forces are at work, creating complex, intricate colony structures with divergent functions. Understanding the assembly and dynamics of such populations requires resolving individual cells or cell groups within such macroscopic structures. Addressing how each cell contributes to the collective action requires pushing the resolution boundaries of key technologies that will be presented in this review. In particular, single-cell techniques provide powerful tools for studying bacterial multicellularity with unprecedented spatial and temporal resolution. These advancements include novel microscopic techniques, mass spectrometry imaging, flow cytometry, spatial transcriptomics, single-bacteria RNA sequencing, and the integration of spatiotemporal transcriptomics with microscopy, alongside advanced microfluidic cultivation systems. This review encourages exploring the synergistic potential of the new technologies in the study of bacterial multicellularity, with a particular focus on individuals in differentiated bacterial biofilms (colonies). It highlights how resolving population structures at the single-cell level and understanding their respective functions can elucidate the overarching functions of bacterial multicellular populations.

Indexed as

BacteriaBacterial Physiological PhenomenaFlow CytometryMicroscopySingle-Cell AnalysisSpatio-Temporal Analysiscell differentiationmicrobial multicellularityphenotypic heterogeneitypopulation dynamicspopulation ecologysingle-cell technologiessingle-cell transcriptomics

Identifiers

PMID39853129
PMCPMC11948493

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.