Evidence map›Paper›PMID 29655705›Full record

ArticleCell systems2018

Spatially Correlated Gene Expression in Bacterial Groups: The Role of Lineage History, Spatial Gradients, and Cell-Cell Interactions.

Simon van Vliet, Alma Dal Co, Annina R Winkler, Stefanie Spriewald, Bärbel Stecher, Martin Ackermann

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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  10. Proteomic profiling ofTurkish journal of biology = Turk biyoloji dergisi · 2025
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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

6 authors at 3 institutions in 2 countries.

Simon van VlietInstitute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland; Department of Environmental Microbiology, Eawag, 8600 Dübendorf, Switzerland. Electronic address: simonvanvliet@gmail.com.
Alma Dal CoInstitute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland; Department of Environmental Microbiology, Eawag, 8600 Dübendorf, Switzerland.
Annina R WinklerInstitute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland; Department of Environmental Microbiology, Eawag, 8600 Dübendorf, Switzerland.
Stefanie SpriewaldMax-von-Pettenkofer Institute, LMU Munich, 80336 Munich, Germany.
Bärbel StecherMax-von-Pettenkofer Institute, LMU Munich, 80336 Munich, Germany; German Center for Infection Research (DZIF), Partner Site LMU Munich, 80336 Munich, Germany.
Martin AckermannInstitute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland; Department of Environmental Microbiology, Eawag, 8600 Dübendorf, Switzerland.
ETH Zurich · CHGerman Center for Infection Research · DELudwig-Maximilians-Universität München · DE

Funding

Swiss National Science Foundation 149267
6 · The paper itself

Abstract

Gene expression levels in clonal bacterial groups have been found to be spatially correlated. These correlations can partly be explained by the shared lineage history of nearby cells, although they could also arise from local cell-cell interactions. Here, we present a quantitative framework that allows us to disentangle the contributions of lineage history, long-range spatial gradients, and local cell-cell interactions to spatial correlations in gene expression. We study pathways involved in toxin production, SOS stress response, and metabolism in Escherichia coli microcolonies and find for all pathways that shared lineage history is the main cause of spatial correlations in gene expression levels. However, long-range spatial gradients and local cell-cell interactions also contributed to spatial correlations in SOS response, amino acid biosynthesis, and overall metabolic activity. Together, our data show that the phenotype of a cell is influenced by its lineage history and population context, raising the question of whether bacteria can arrange their activities in space to perform functions they cannot achieve alone.

Indexed as

Gene Expression Regulation, BacterialBacteriaCellular MicroenvironmentMicrobial InteractionsModels, Geneticcell-cell interactionsemergent behaviorEscherichia coligene expression dynamicsphenotypic heterogeneityspatial correlationsstatistical method

Identifiers

PMID29655705
PMCPMC6764841
OpenAlexW2798012109

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.