Evidence map›Paper›PMID 37255080›Full record

ArticleeLife2023

Resource allocation accounts for the large variability of rate-yield phenotypes across bacterial strains.

Valentina Baldazzi, Delphine Ropers, Jean-Luc Gouzé, Tomas Gedeon, Hidde de Jong

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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 at 3 institutions in 2 countries.

Valentina BaldazziUniversité Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Sophia Antipolis, France.ORCID 0000-0001-9734-9759
Delphine RopersUniversité Grenoble Alpes, Inria, Grenoble, France.ORCID 0000-0003-2659-3003
Jean-Luc GouzéUniversité Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Sophia Antipolis, France.
Tomas GedeonMontana State University, Bozeman, United States.
Hidde de JongUniversité Grenoble Alpes, Inria, Grenoble, France.ORCID 0000-0002-2226-650X
Centre Inria de l'Université Grenoble Alpes · FRCentre National de la Recherche Scientifique · FRMontana State University · US

Funding

French National Research Agency Maximic project (ANR-17-CE40-0024)
6 · The paper itself

Abstract

Different strains of a microorganism growing in the same environment display a wide variety of growth rates and growth yields. We developed a coarse-grained model to test the hypothesis that different resource allocation strategies, corresponding to different compositions of the proteome, can account for the observed rate-yield variability. The model predictions were verified by means of a database of hundreds of published rate-yield and uptake-secretion phenotypes of

Indexed as

Escherichia coliProteomicsMetabolic EngineeringResource AllocationRibosomesbacterial physiologycomputational biologyE. coliEscherichia coligrowth rategrowth yieldmetabolic regulationresource allocationsystems biology

Identifiers

PMID37255080
PMCPMC10270689
OpenAlexW4378783540

What OpenQuestion 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 OpenQuestion graph.