Evidence map›Paper›PMID 30894528›Full record

ArticleNature communications2019

Growth strategy of microbes on mixed carbon sources.

Xin Wang, Kang Xia, Xiaojing Yang, Chao Tang

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Thermodynamic Evaluation of Dual Substrate Growth.Biotechnology and bioengineering · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Aerobicity stimulon iniScience · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Aromatic acid metabolism inApplied and environmental microbiology · 2025
    Article
  17. Microbial Production ofFoods (Basel, Switzerland) · 2025
    Review
  18. Article
  19. Review
  20. Review

27 more citing papers are in PubMed but not listed here.

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

4 authors.

Xin WangCenter for Quantitative Biology, School of Physics and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-6479-395X
Kang XiaCenter for Quantitative Biology, School of Physics and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-5942-5594
Xiaojing YangCenter for Quantitative Biology, School of Physics and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-3397-0578
Chao TangCenter for Quantitative Biology, School of Physics and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China. tangc@pku.edu.cn.ORCID http://orcid.org/0000-0003-1474-3705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A classic problem in microbiology is that bacteria display two types of growth behavior when cultured on a mixture of two carbon sources: the two sources are sequentially consumed one after another (diauxie) or they are simultaneously consumed (co-utilization). The search for the molecular mechanism of diauxie led to the discovery of the lac operon. However, questions remain as why microbes would bother to have different strategies of taking up nutrients. Here we show that diauxie versus co-utilization can be understood from the topological features of the metabolic network. A model of optimal allocation of protein resources quantitatively explains why and how the cell makes the choice. In case of co-utilization, the model predicts the percentage of each carbon source in supplying the amino acid pools, which is quantitatively verified by experiments. Our work solves a long-standing puzzle and provides a quantitative framework for the carbon source utilization of microbes.

Indexed as

Amino AcidsBacillus subtilisCarbonCulture MediaEscherichia coliKineticsLac OperonMetabolic Networks and PathwaysModels, BiologicalAmino AcidsCarbonCulture Media

Identifiers

PMID30894528
PMCPMC6427025

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.