Evidence map›Paper›PMID 38096062›Full record

ArticleNucleic acids research2024

A KDPG sensor RccR governs Pseudomonas aeruginosa carbon metabolism and aminoglycoside antibiotic tolerance.

Yujue Wang, Zhipeng Wang, Weizhong Chen, Ze-Hui Ren, Hui Gao, Jiani Dai, Guan-Zheng Luo, Zhaowei Wu, Quanjiang Ji

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  5. Article
  6. Simulated microgravity induces time-dependent enhancement ofCurrent research in microbial sciences · 2025
    Article
  7. Review
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 2 institutions in 1 country.

Yujue WangSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0003-1806-0004
Zhipeng WangSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Weizhong ChenSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Ze-Hui RenMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, Guangdong, China.
Hui GaoSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Jiani DaiSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Guan-Zheng LuoMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, Guangdong, China.ORCID 0000-0002-6797-9319
Zhaowei WuSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Quanjiang JiSchool of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0002-2321-8462
ShanghaiTech University · CNSun Yat-sen University · CN

Funding

Lingang Laboratory LG-QS-202206-05National Center for Protein Sciences at Peking University KF-202303National Key R&D Program of China 2022YFC3400200National Natural Science Foundation of China 22277078Shanghai Science and Technology Committee 23HC1400800
6 · The paper itself

Abstract

Pseudomonas aeruginosa harbors sophisticated transcription factor (TF) networks to coordinately regulate cellular metabolic states for rapidly adapting to changing environments. The extraordinary capacity in fine-tuning the metabolic states enables its success in tolerance to antibiotics and evading host immune defenses. However, the linkage among transcriptional regulation, metabolic states and antibiotic tolerance in P. aeruginosa remains largely unclear. By screening the P. aeruginosa TF mutant library constructed by CRISPR/Cas12k-guided transposase, we identify that rccR (PA5438) is a major genetic determinant in aminoglycoside antibiotic tolerance, the deletion of which substantially enhances bacterial tolerance. We further reveal the inhibitory roles of RccR in pyruvate metabolism (aceE/F) and glyoxylate shunt pathway (aceA and glcB), and overexpression of aceA or glcB enhances bacterial tolerance. Moreover, we identify that 2-keto-3-deoxy-6-phosphogluconate (KDPG) is a signal molecule that directly binds to RccR. Structural analysis of the RccR/KDPG complex reveals the detailed interactions. Substitution of the key residue R152, K270 or R277 with alanine abolishes KDPG sensing by RccR and impairs bacterial growth with glycerol or glucose as the sole carbon source. Collectively, our study unveils the connection between aminoglycoside antibiotic tolerance and RccR-mediated central carbon metabolism regulation in P. aeruginosa, and elucidates the KDPG-sensing mechanism by RccR.

Indexed as

Bacterial ProteinsCarbonPseudomonas aeruginosaAminoglycosidesAnti-Bacterial AgentsGene Regulatory NetworksAminoglycosidesAnti-Bacterial AgentsBacterial ProteinsCarbon

Identifiers

PMID38096062
PMCPMC10810197
OpenAlexW4389718689

What OpenQuestion holds

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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.