Evidence map›Paper›PMID 42213252›Full record

ArticleBulletin of mathematical biology2026

An Analytical Framework for Phenotypic Selection of Fitness-Conferring Genes.

Marc Sturrock, Anna Sturrock

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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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

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5 · Who and what money

Authors and funding

2 authors.

Marc SturrockDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland. marcsturrock@rcsi.ie.ORCID http://orcid.org/0000-0002-7435-5256
Anna SturrockDepartment of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenotypic selection can cause the transient, selective upregulation of fitness-conferring genes in isogenic cell populations under stress, producing selective enrichment of the fitness gene relative to a neutral reference gene. While computational models have shown that such enrichment requires noisy gene expression and a cellular memory linking growth rate to gene expression (Ciechonska et al. 2022), the precise mechanistic requirements and the analytical principles governing enrichment have remained unclear. Here, we present an exact analytical framework that unifies enrichment mechanisms across both growth-driven and death-driven selection regimes. By analysing a stochastic model of explicit mRNA and protein dynamics, we prove that when selection acts via cell division, the fitness advantage of faster growth is exactly cancelled by the penalty of faster protein dilution. We show that this cancellation is bypassed by translational feedback but not by transcriptional feedback alone; for genes with regulated (switching) promoters, the promoter-state memory provides an independent route to enrichment without translational feedback. Conversely, when selection acts via cell death, this exact cancellation is bypassed, allowing selective enrichment to emerge from baseline gene expression noise without any assumptions about growth-related feedback loops or regulated vs constitutive expression. We derive an exact fluctuation-response relation demonstrating that, in all cases, enrichment scales with the super-Poissonian component of unperturbed protein noise times the relevant memory timescale. All analytical predictions are corroborated by stochastic simulations of a finite-population Moran model. These results have implications for the emergence of drug resistance: by transiently enriching survival-conferring phenotypes, phenotypic selection can extend the window during which cell division occurs under stress, increasing the opportunity for permanent genetic mutations to arise.

Indexed as

Genetic FitnessModels, GeneticSelection, GeneticComputer SimulationFeedback, PhysiologicalMathematical ConceptsPhenotypePromoter Regions, GeneticRNA, MessengerStochastic ProcessesRNA, MessengerDrug resistanceFluctuation–response relationPhenotypic selectionSelective enrichmentStochastic gene expressionTranslational feedback

Identifiers

PMID42213252
PMCPMC13221348

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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.