Evidence map›Paper›PMID 41326333›Full record

ArticleNature communications2025

Deciphering gene redundancy in prokaryotic genomes provides evolutionary insights for pathogenicity and its roles in clinical infections.

Peihong Wang, Qian Guo, Xiaoqing Jiang, Ping Lu, Mengru Chang, Longshu Yang, Mo Li, Chunhui Wang, Tingting Xiao, Yonghong Xiao and 1 more

Abstract read
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. Article
  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

11 authors.

Peihong Wang *Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-9632-4314
Qian Guo *Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.
Xiaoqing Jiang *Department of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-7475-1630
Ping Lu *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.ORCID http://orcid.org/0009-0008-4797-6621
Mengru ChangDepartment of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0009-0000-0853-7732
Longshu YangDepartment of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.
Mo LiDepartment of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-6496-9756
Chunhui WangDepartment of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China.
Tingting XiaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China.
Yonghong XiaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, and The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China. xiao-yonghong@163.com.ORCID http://orcid.org/0000-0003-4845-5904
Huaiqiu ZhuDepartment of Biomedical Engineering, College of Future Technology, and Center for Quantitative Biology, Peking University, Beijing, 100871, China. hqzhu@pku.edu.cn.ORCID http://orcid.org/0000-0002-6376-218X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32070667National Natural Science Foundation of China (National Science Foundation of China) 32300078National Natural Science Foundation of China (National Science Foundation of China) 82202588
6 · The paper itself

Abstract

Gene redundancy, increasing gene dosage and functional diversity, remains understudied regarding its roles in evolution and clinical infections. Exploring 22,310 prokaryotic genomes with our custom pipeline, we found that redundant genes, though less frequent than in eukaryotes, are widespread and mainly linked to niche specialization. Evolutionary analyses delineated a propensity for gene redundancy expansion with increasing phylogenetic distance, with pathogens accumulating more redundancy than non-pathogens. Redundant genes are always co-duplicated with translation initiation signals and potentially preserve functionality. Time series examining 69 Acinetobacter baumannii isolates from multi-sites in severely infected patients, we identified redundant alcohol dehydrogenase genes and translation initiation signals, introduced by gene islands, as advantageous for invasive urinary tract infection throughout its within-patient development and cross-patient transmission. Mouse peritoneal infection models and plasmid transformation experiments confirmed that the redundancy of frmA, an alcohol dehydrogenase gene, is linked to both enhanced virulence and increased biofilm mass in Acinetobacter baumannii. Additional analysis of 898 Enterobacter cloacae complex genomes revealed that redundant metal ion resistance genes carried by mobile genetic elements may provide selective advantages. This study unveiled a moderate gene redundancy within prokaryotes, providing genetic insights into the adaptive evolution and clinical infection of pathogens.

Indexed as

Acinetobacter baumanniiEvolution, MolecularGenome, BacterialAlcohol DehydrogenaseAnimalsBacterial ProteinsBiofilmsHumansMicePhylogenyUrinary Tract InfectionsVirulenceAlcohol DehydrogenaseBacterial Proteins

Identifiers

PMID41326333
PMCPMC12669621

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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.