Evidence map›Paper›PMID 39755708›Full record

ArticleNature communications2025

Hotspots of genetic change in Yersinia pestis.

Yarong Wu, Youquan Xin, Xiaoyan Yang, Kai Song, Qingwen Zhang, Haihong Zhao, Cunxiang Li, Yong Jin, Yan Guo, Yafang Tan and 5 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Retracing the path of evolution: polymorphisms ofEmerging microbes & infections · 2025
    Article
  8. Article
  9. Evolutionary hotspots in bacterial genomes.Nature reviews. Microbiology · 2025
    Article
  10. Article
  11. Review
  12. 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

15 authors.

Yarong Wu *State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.ORCID 0000-0003-4900-315X
Youquan Xin *Key Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Xiaoyan Yang *Key Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Kai SongState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Qingwen ZhangKey Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Haihong ZhaoKey Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Cunxiang LiKey Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Yong JinKey Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Yan GuoState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Yafang TanState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Yajun SongState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
Huaiyu TianState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Beijing Normal University, Beijing, China.ORCID 0000-0002-4466-0858
Zhizhen QiKey Laboratory of National Health Commission on Plague Control and Prevention, Key Laboratory for Plague Prevention and Control of Qinghai Province, Qinghai Institute for Endemic Disease Prevention and Control, Xining, China. qzz7777@163.com.ORCID 0000-0002-3373-0304
Ruifu YangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China. ruifuyang@gmail.com.ORCID 0000-0003-3219-7269
Yujun CuiState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China. cuiyujun.new@gmail.com.ORCID 0000-0001-7236-2412

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31970002
6 · The paper itself

Abstract

The relative contributions of mutation rate variation, selection, and recombination in shaping genomic variation in bacterial populations remain poorly understood. Here we analyze 3318 Yersinia pestis genomes, spanning nearly a century and including 2336 newly sequenced strains, to shed light on the patterns of genetic diversity and variation distribution at the population level. We identify 45 genomic regions ("hot regions", HRs) that, although comprising a minor fraction of the genome, are hotbeds of genetic variation. These HRs are distributed non-randomly across Y. pestis phylogenetic lineages and are primarily linked to regulatory genes, underscoring their potential functional significance. We explore various factors contributing to the shaping and maintenance of HRs, including genomic context, homologous recombination, mutation rate variation and natural selection. Our findings suggest that positive selection is likely the primary driver behind the emergence of HRs, but not the sole force, as evidenced by the pronounced trend of variation purging within these regions.

Indexed as

Genetic VariationGenome, BacterialPhylogenyYersinia pestisEvolution, MolecularHomologous RecombinationMutation RateSelection, Genetic

Identifiers

PMID39755708
PMCPMC11700214

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.