Evidence map›Paper›PMID 32349767›Full record

ArticleBMC biology2020

Macromolecular crowding links ribosomal protein gene dosage to growth rate in Vibrio cholerae.

Alfonso Soler-Bistué, Sebastián Aguilar-Pierlé, Marc Garcia-Garcerá, Marie-Eve Val, Odile Sismeiro, Hugo Varet, Rodrigo Sieira, Evelyne Krin, Ole Skovgaard, Diego J Comerci and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 30 citations in OpenAlex.

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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

12 authors at 6 institutions in 4 countries.

Alfonso Soler-BistuéInstitut Pasteur, Unité Plasticité du Génome Bactérien, UMR3525, CNRS, Paris, France.
Sebastián Aguilar-PierléInstitut Pasteur, Unité Plasticité du Génome Bactérien, UMR3525, CNRS, Paris, France.
Marc Garcia-GarceráMicrobial Evolutionary Genomics, Département Génomes et Génétique, Institut Pasteur, Paris, France.
Marie-Eve ValInstitut Pasteur, Unité Plasticité du Génome Bactérien, UMR3525, CNRS, Paris, France.
Odile SismeiroInstitut Pasteur, Plate-forme Transcriptome et Épigenome, Biomics, Centre d'Innovation et Recherche Technologique (Citech), Paris, France.
Hugo VaretInstitut Pasteur, Plate-forme Transcriptome et Épigenome, Biomics, Centre d'Innovation et Recherche Technologique (Citech), Paris, France.
Rodrigo SieiraFundación Instituto Leloir, IIBBA-CONICET, Buenos Aires, Argentina.
Evelyne KrinInstitut Pasteur, Unité Plasticité du Génome Bactérien, UMR3525, CNRS, Paris, France.
Ole SkovgaardDepartment of Science and Environment, Roskilde University, Roskilde, Denmark.
Diego J ComerciInstituto de Investigaciones Biotecnológicas "Dr. Rodolfo A. Ugalde," CONICET - Universidad Nacional de San Martín, San Martín, Buenos Aires, Argentina.
Eduardo P C RochaMicrobial Evolutionary Genomics, Département Génomes et Génétique, Institut Pasteur, Paris, France.
Didier MazelInstitut Pasteur, Unité Plasticité du Génome Bactérien, UMR3525, CNRS, Paris, France. mazel@pasteur.fr.
Institut Pasteur · FRCentre National de la Recherche Scientifique · FRNational University of General San Martín · ARFundación Instituto Leloir · ARRoskilde University · DKUniversity of Lausanne · CH

Funding

Agence Nationale de la Recherche ANR-10-BLAN-131301Agence Nationale de la Recherche ANR-10-LABX-62-IBEIDAgence Nationale de la Recherche ANR-14-CE10-0007Agencia Nacional de Promoción Científica y Tecnológica PICT-2017-0424 to ASBEuropean Molecular Biology Organization EMBO-ALTF-1473-2010FP7 Ideas: European Research Council () FP7-PEOPLE-2011-IIF-BMC
6 · The paper itself

Abstract

backgroundIn fast-growing bacteria, the genomic location of ribosomal protein (RP) genes is biased towards the replication origin (oriC). This trait allows optimizing their expression during exponential phase since oriC neighboring regions are in higher dose due to multifork replication. Relocation of s10-spc-α locus (S10), which codes for most of the RP, to ectopic genomic positions shows that its relative distance to the oriC correlates to a reduction on its dosage, its expression, and bacterial growth rate. However, a mechanism linking S10 dosage to cell physiology has still not been determined.

resultsWe hypothesized that S10 dosage perturbations impact protein synthesis capacity. Strikingly, we observed that in Vibrio cholerae, protein production capacity was independent of S10 position. Deep sequencing revealed that S10 relocation altered chromosomal replication dynamics and genome-wide transcription. Such changes increased as a function of oriC-S10 distance. Since RP constitutes a large proportion of cell mass, lower S10 dosage could lead to changes in macromolecular crowding, impacting cell physiology. Accordingly, cytoplasm fluidity was higher in mutants where S10 is most distant from oriC. In hyperosmotic conditions, when crowding differences are minimized, the growth rate and replication dynamics were highly alleviated in these strains.

conclusionsThe genomic location of RP genes ensures its optimal dosage. However, besides of its essential function in translation, their genomic position sustains an optimal macromolecular crowding essential for maximizing growth. Hence, this could be another mechanism coordinating DNA replication to bacterial growth.

Indexed as

Gene DosageGenes, BacterialReplication OriginBacterial ProteinsDNA, BacterialDNA ReplicationRibosomal ProteinsVibrio choleraeBacterial ProteinsDNA, BacterialRibosomal ProteinsBacterial chromosomeBacterial physiologyGrowth rateMacromolecular crowdingRibosomal proteinsSynthetic biologyVibrio cholerae

Identifiers

PMID32349767
PMCPMC7191768
OpenAlexW3023806759

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.