Evidence map›Paper›PMID 39465945›Full record

ArticlemSystems2024

A new selective force driving metabolic gene clustering.

Marco Fondi, Francesco Pini, Christopher Riccardi, Pietro Gemo, Matteo Brilli

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Marco Fondi *Department of Biology, University of Florence, Florence, Italy.
Francesco Pini *Department of Biosciences, Biotechnology and Environment (DBBA), University of Bari Aldo Moro, Bari, Italy.
Christopher RiccardiDepartment of Biology, University of Florence, Florence, Italy.
Pietro GemoDepartment of Biosciences, University of Milan, Milan, Italy.ORCID 0000-0002-4472-9421
Matteo Brilli *Department of Biosciences, University of Milan, Milan, Italy.ORCID 0000-0001-9891-4617

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR) P2022AB5TY
6 · The paper itself

Abstract

The evolution of operons has puzzled evolutionary biologists since their discovery, and many theories exist to explain their emergence, spreading, and evolutionary conservation. In this work, we suggest that DNA replication introduces a selective force for the clustering of functionally related genes on chromosomes, which we interpret as a preliminary and necessary step in operon formation. Our reasoning starts from the observation that DNA replication produces copy number variations of genomic regions, and we propose that such changes perturb metabolism. The formalization of this effect by exploiting concepts from metabolic control analysis suggests that the minimization of such perturbations during evolution could be achieved through the formation of gene clusters and operons. We support our theoretical derivations with simulations based on a realistic metabolic network, and we confirm that present-day genomes have a degree of compaction of functionally related genes, which is significantly correlated to the proposed perturbations introduced by replication. The formation of clusters of functionally related genes in microbial genomes has puzzled microbiologists since their first discovery. Here, we suggest that replication, and the copy number variations due to the replisome passage, might play a role in the process through a perturbation in metabolite homeostasis. We provide theoretical support to this hypothesis, and we found that both simulations and genomic analysis support our hypothesis. IMPORTANCE: The formation of clusters of functionally related genes in microbial genomes has puzzled microbiologists since their discovery. Here, we suggest that replication, and the copy number variations due to the replisome passage, might play a role in the process through a perturbation in metabolite homeostasis. We provide theoretical support to this hypothesis, and we found that both simulations and genomic analysis support our hypothesis.

Indexed as

Multigene FamilyComputer SimulationDNA Copy Number VariationsDNA ReplicationEvolution, MolecularGenome, BacterialMetabolic Networks and PathwaysModels, GeneticOperonDNA replicationgene clusteringgenomicsmetabolic control analysisoperon accretion

Identifiers

PMID39465945
PMCPMC11629862

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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.