Evidence map›Paper›PMID 33650807›Full record

ArticleMicrobial biotechnology2021

Escherichia coli segments its controls on carbon-dependent gene expression into global and specific regulations.

Qing Pan, Zongjin Li, Xian Ju, Chaofan Hou, Yunzhu Xiao, Ruoping Shi, Chunxiang Fu, Antoine Danchin, Conghui You

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Improving the Annotations of JCVI-Syn3a Proteins.Methods in molecular biology (Clifton, N.J.) · 2025
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  5. Small RNA GcvB Regulates Oxidative Stress Response ofAntioxidants (Basel, Switzerland) · 2021
    Article
  6. 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 at 3 institutions in 3 countries.

Qing PanShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Zongjin Li *Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Xian Ju *Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Chaofan HouShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Yunzhu XiaoShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Ruoping ShiShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.
Chunxiang FuShandong Provincial Key Laboratory of Energy Genetics, Key Laboratory of Biofuels, Qingdao Engineering Research Center of Biomass Resources and Environment, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China.
Antoine DanchinKodikos Labs/Stellate Therapeutics, Institut Cochin, 24 rue du Faubourg Saint-Jacques, Paris, 75014, France.ORCID 0000-0002-6350-5001
Conghui YouShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, Guangdong, China.ORCID 0000-0002-4221-861X
Shenzhen University · CNInstitut Cochin · FRQingdao Institute of Bioenergy and Bioprocess Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How bacteria adjust gene expression to cope with variable environments remains open to question. Here, we investigated the way global gene expression changes in E. coli correlated with the metabolism of seven carbon substrates chosen to trigger a large panel of metabolic pathways. Coarse-grained analysis of gene co-expression identified a novel regulation pattern: we established that the gene expression trend following immediately the reduction of growth rate (GR) was correlated to its initial expression level. Subsequent fine-grained analysis of co-expression demonstrated that the Crp regulator, coupled with a change in GR, governed the response of most GR-dependent genes. By contrast, the Cra, Mlc and Fur regulators governed the expression of genes responding to non-glycolytic substrates, glycolytic substrates or phosphotransferase system transported sugars following an idiosyncratic way. This work allowed us to expand additional genes in the panel of gene complement regulated by each regulator and to elucidate the regulatory functions of each regulator comprehensively. Interestingly, the bulk of genes controlled by Cra and Mlc were, respectively, co-regulated by Crp- or GR-related effect and our quantitative analysis showed that each factor took turns to work as the primary one or contributed equally depending on the conditions.

Indexed as

Escherichia coliEscherichia coli ProteinsBacterial ProteinsCarbonGene ExpressionGene Expression Regulation, BacterialRepressor ProteinsBacterial ProteinsCarbonEscherichia coli ProteinsMlc protein, E coliRepressor Proteins

Identifiers

PMID33650807
PMCPMC8085971
OpenAlexW3135563716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.