Evidence map›Paper›PMID 40832347›Full record

ArticlebioRxiv : the preprint server for biology2025

Cell Geometry Limits Bacterial Metabolic Efficiency.

Arianna Cylke, Shiladitya Banerjee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Arianna CylkeDepartment of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Shiladitya BanerjeeSchool of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-8000-2556

Funding

Biophysical models and mechanisms for cellular adaptation to environmental stressR35GM143042 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BANERJEE, SHILADITYA · 2021 to 2025
$1.6M
NIGMS NIH HHS R35 GM143042
6 · The paper itself

Abstract

Bacterial metabolic strategies are fundamentally linked to their physical form, yet a quantitative understanding of how cell size and shape constrain the efficiency of biomass production remains poorly understood. Here, we develop a coarse-grained whole-cell model of bacterial physiology that integrates proteome allocation, metabolic fluxes, and cell geometry with physical limits on cell surface area and intracellular diffusion. Our model shows that the efficiency of cellular growth is not monotonic with nutrient availability; instead, it peaks precisely at the onset of overflow metabolism, framing this metabolic switch as an optimal tradeoff between efficient use of imported nutrients and rapid growth. By simulating perturbations to cell morphology, we demonstrate the strong metabolic advantage of a high surface-to-volume ratio, which consistently improves growth efficiency. Finally, we show how geometric limits on growth efficiency result in a hard physical constraint: the maximum sustainable cell size is inversely related to the growth rate. This is due to a fundamental conflict between the proteomic cost of growth speed and the cost of size, which creates a budget crisis in large, fast-growing cells. Our work shows how a few physical rules define the allowable strategies for bacterial metabolism and provides a mechanistic explanation for the observed limits on microbial cell size and growth.

Identifiers

PMID40832347
PMCPMC12363819

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.