Evidence map›Paper›PMID 40192351›Full record

ArticlePhysical review letters2025

Evolutionary Advantage of Cell Size Control.

Spencer Hobson-Gutierrez, Edo Kussell

Abstract read
In one paragraph

Article in Physical review letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Spencer Hobson-GutierrezNew York University, Department of Biology, 12 Waverly Place, New York, New York 10003, USA.
Edo KussellNew York University, Department of Biology, 12 Waverly Place, New York, New York 10003, USA.

Funding

Revealing Stochastic Switches in Bacteria: Theory, Modeling, and ExperimentsR01GM097356 · NIGMS · NEW YORK UNIVERSITY · PI KUSSELL, EDO L · 2011 to 2025
$4.4M
Gene Regulation and Memory in Bacterial Metabolism and Antibiotic ResistanceR01GM148703 · NIGMS · NEW YORK UNIVERSITY · PI EDO L KUSSELL · 2023 to 2026
$1.3M
NIGMS NIH HHS R01 GM097356NIGMS NIH HHS R01 GM148703
6 · The paper itself

Abstract

We analyze the advantage of cell size control strategies in growing populations under mortality constraints and show that growth-dependent mortality can select for accurate size control. We determine how mortality, noise, and nongenetic heritability of cell size impact long-term population growth. We derive an analytical expression for the optimal cell size. We demonstrate that size heritability enables selection to act on the distribution of cell sizes in a population to avoid viability thresholds and adapt to size- and growth-dependent mortality landscapes.

Indexed as

Biological EvolutionCell SizeModels, Biological

Identifiers

PMID40192351
PMCPMC12310158

What OpenQuestion holds

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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.