Evidence map›Paper›PMID 33821549›Full record

ArticleMolecular systems biology2021

Proteome constraints reveal targets for improving microbial fitness in nutrient-rich environments.

Yu Chen, Eunice van Pelt-KleinJan, Berdien van Olst, Sieze Douwenga, Sjef Boeren, Herwig Bachmann, Douwe Molenaar, Jens Nielsen, Bas Teusink

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Integrative Thermodynamic Strategies in Microbial Metabolism.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Reconstruction of a Genome-Scale Metabolic Model forInternational journal of molecular sciences · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Microorganisms · 2021
    Review
  20. 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.

Yu ChenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0003-3326-9068
Eunice van Pelt-KleinJanTiFN, Wageningen, the Netherlands.ORCID 0000-0002-6590-652X
Berdien van OlstTiFN, Wageningen, the Netherlands.ORCID 0000-0001-8596-0171
Sieze DouwengaTiFN, Wageningen, the Netherlands.ORCID 0000-0003-3604-7524
Sjef BoerenTiFN, Wageningen, the Netherlands.ORCID 0000-0002-0847-8821
Herwig BachmannTiFN, Wageningen, the Netherlands.ORCID 0000-0002-8224-0993
Douwe MolenaarTiFN, Wageningen, the Netherlands.ORCID 0000-0001-7108-4545
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-9955-6003
Bas TeusinkTiFN, Wageningen, the Netherlands.ORCID 0000-0003-3929-0423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells adapt to different conditions via gene expression that tunes metabolism for maximal fitness. Constraints on cellular proteome may limit such expression strategies and introduce trade-offs. Resource allocation under proteome constraints has explained regulatory strategies in bacteria. It is unclear, however, to what extent these constraints can predict evolutionary changes, especially for microorganisms that evolved under nutrient-rich conditions, i.e., multiple available nitrogen sources, such as Lactococcus lactis. Here, we present a proteome-constrained genome-scale metabolic model of L. lactis (pcLactis) to interpret growth on multiple nutrients. Through integration of proteomics and flux data, in glucose-limited chemostats, the model predicted glucose and arginine uptake as dominant constraints at low growth rates. Indeed, glucose and arginine catabolism were found upregulated in evolved mutants. At high growth rates, pcLactis correctly predicted the observed shutdown of arginine catabolism because limited proteome availability favored lactate for ATP production. Thus, our model-based analysis is able to identify and explain the proteome constraints that limit growth rate in nutrient-rich environments and thus form targets of fitness improvement.

Indexed as

Genetic FitnessAdenosine TriphosphateArginineBacterial ProteinsBiological EvolutionGlucoseLactococcus lactisModels, BiologicalMutationProteomeReproducibility of ResultsAdenosine TriphosphateArginineBacterial ProteinsGlucoseProteomeccpAlaboratory evolutionLactococcus lactismetabolic modelingproteome constraint

Identifiers

PMID33821549
PMCPMC8022198

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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.