Evidence map›Paper›PMID 41006262›Full record

ArticleNature communications2025

Non-canonical resource allocation in heterotrophically growing Thermoanaerobacter kivui.

Franziska Maria Mueller, Albert Leopold Müller, Wenyu Gu, Farshad Abdollah-Nia, Jiawei Sun, Jenna Kim Ahn, Kerwyn Casey Huang, James R Williamson, Alfred Michael Spormann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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. Review
  2. 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

9 authors.

Franziska Maria Mueller *Department of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.ORCID http://orcid.org/0000-0002-0745-5847
Albert Leopold Müller *Department of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.
Wenyu GuDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.
Farshad Abdollah-NiaDepartment of Integrative Structural and Computational Biology, Department of Chemistry, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California, USA.
Jiawei SunDepartment of Bioengineering, Stanford University, Stanford, California, USA.
Jenna Kim AhnDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA.
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, California, USA.ORCID http://orcid.org/0000-0002-8043-8138
James R WilliamsonDepartment of Integrative Structural and Computational Biology, Department of Chemistry, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California, USA.ORCID http://orcid.org/0000-0002-8772-468X
Alfred Michael SpormannDepartment of Civil and Environmental Engineering, Stanford University, Stanford, California, USA. spormann@stanford.edu.ORCID http://orcid.org/0000-0001-5103-9704

Funding

Dynamics of the Bacterial Ribosome and Proteome (Equipment Supplement)R35GM136412 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI James R Williamson · 2020 to 2026
$4.9M
500 MHz NMR Spectrometer System with High Sensitivity Cryoprobe and Automated Sample Changer for Biochemical ResearchS10OD028697 · OD · STANFORD UNIVERSITY · PI BURNS, NOAH ZACHARY · 2020 to 2020
$709k
Deutsche Forschungsgemeinschaft (German Research Foundation) 504745114NIGMS NIH HHS R35 GM136412NIH HHS S10 OD028697
6 · The paper itself

Abstract

Allocation of resources in the costly proteome reflects trade-offs between cellular functions. For example, proteome composition of Escherichia coli is significantly regulated by growth rate. An increasing anabolic, especially ribosomal, proteome fraction correlates with a decreasing catabolic proteome fraction at faster growth, which then leads to changes in catabolism. Our systems-level studies of the thermophilic acetogen Thermoanaerobacter kivui when growth rate is varied over two orders of magnitude revealed a different strategy: proteome allocation is only partially controlled by growth rate, and metabolic rates are primarily controlled posttranslationally. At slower growth, ribosome numbers are controlled by rRNA concentrations with an excess of ribosomal proteins. Composition of the catabolic proteome is uncoupled from catabolic rates as indicated by flux analysis. This study adds to the understanding of acetogenic Clostridia, which are of interest for biotechnological processes in a carbon-neutral economy, and points to a complex landscape of microbial ecophysiological strategies.

Indexed as

Bacterial ProteinsProteomeThermoanaerobacterHeterotrophic ProcessesRibosomal ProteinsRibosomesRNA, RibosomalBacterial ProteinsProteomeRibosomal ProteinsRNA, Ribosomal

Identifiers

PMID41006262
PMCPMC12475172

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.