Evidence map›Paper›PMID 42339668›Full record

ArticleFEBS letters2026

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy.

Ross P Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R Harcombe, Radhakrishnan Mahadevan, Ashley E Beck

Abstract read
In one paragraph

Article in FEBS letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Global constraint principle for microbial growth laws.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Cell Geometry Limits Bacterial Metabolic Efficiency.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ross P CarlsonDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA.ORCID https://orcid.org/0000-0002-2464-7111
Tomáš GedeonDepartment of Mathematical Sciences, Montana State University, Bozeman, MT, USA.
Mauricio Garcia BenitezDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Canada.ORCID https://orcid.org/0000-0001-8492-8655
Campbell PutnamDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA.
William R HarcombeDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA.
Radhakrishnan MahadevanDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Canada.
Ashley E BeckDepartment of Biological and Environmental Sciences, Carroll College, Helena, MT, USA.

Funding

Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
Agricultural Research Service 2021-67013-34537Air Force Office of Scientific Research FA9550-23-1-0589AOU NIH HHS U01EB019416NIBIB NIH HHS U01 EB019416
6 · The paper itself

Abstract

The rules of prokaryotic cell design remain elusive. Here, a theory is presented for interpreting growth rate, overflow metabolism, respiration efficiency, and maintenance energy flux based on cell dimensions, membrane protein crowding, and metabolism. The theory employs biophysical properties and systems analysis to successfully interpret phenotypes of Escherichia coli K-12 strains MG1655 and NCM3722. These strains are genetically similar but differ in surface area-to-volume (SA : V) ratios (~ 30%), growth rate on glucose (~ 40%), and overflow-inducing growth rates (~ 80%). Six predictions were tested and validated using experimental phenomics, proteomics, and mutant data. Analyses did not require assumptions regarding cytosolic macromolecular crowding, highlighting the distinct properties of the theory. Cell geometry and membrane protein crowding are significant biophysical constraints of cell biology.

Indexed as

Energy MetabolismEscherichia coliEscherichia coli K12Escherichia coli ProteinsMembrane ProteinsGlucoseModels, BiologicalEscherichia coli ProteinsGlucoseMembrane Proteinscell biologycell geometrymetabolismsurface area‐to‐volume ratiosystems biology

Identifiers

PMID42339668
PMCPMC13456620

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.