Evidence map›Paper›PMID 33093577›Full record

ArticleScientific reports2020

Higher genome mutation rates of Beijing lineage of Mycobacterium tuberculosis during human infection.

Mariko Hakamata, Hayato Takihara, Tomotada Iwamoto, Aki Tamaru, Atsushi Hashimoto, Takahiro Tanaka, Shaban A Kaboso, Gebremichal Gebretsadik, Aleksandr Ilinov, Akira Yokoyama and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  8. Microbiological aspects and clinical impact of lower lung field tuberculosis: An observational cohort study in Peru.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Observational
  9. Patterns ofFrontiers in tuberculosis · 2025
    Article
  10. Article
  11. Microbiology spectrum · 2024
    Article
  12. Large-scale Pan Genomic Analysis ofEvolutionary bioinformatics online · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

17 authors.

Mariko HakamataDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan. mariko1436sato@gmail.com.
Hayato TakiharaDepartment of Bioinformatics, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Tomotada IwamotoDepartment of Infectious Disease, Kobe Institute of Health, 4-6-5, Minatojima-nakamichi, Chuo-ku, Kobe, 650-0046, Japan.
Aki TamaruDepartment of Infectious Disease, Osaka Prefectural Institute of Public Health, 1-3-69, Nakamichi, Higashinari-ku, Osaka-shi, Osaka, 537-0025, Japan.
Atsushi HashimotoClinical and Translation Research Center, Niigata University Medical and Dental Hospital, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Takahiro TanakaClinical and Translation Research Center, Niigata University Medical and Dental Hospital, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Shaban A KabosoDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Gebremichal GebretsadikDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Aleksandr IlinovDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Akira YokoyamaDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Yuriko OzekiDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Akihito NishiyamaDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Yoshitaka TateishiDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Hiroshi MoroDepartment of Respiratory Medicine and Infectious Disease, Niigata Graduate School of Medical and Dental Sciences, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Toshiaki KikuchiDepartment of Respiratory Medicine and Infectious Disease, Niigata Graduate School of Medical and Dental Sciences, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Shujiro OkudaDepartment of Bioinformatics, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan.
Sohkichi MatsumotoDepartment of Bacteriology, Niigata University School of Medicine, 1-757, Asahimachi-Dori, Chuo-ku, Niigata, Niigata, 951-9510, Japan. sohkichi@med.niigata-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis (Mtb) strains of Beijing lineage have caused great concern because of their rapid emergence of drug resistance and worldwide spread. DNA mutation rates that reflect evolutional adaptation to host responses and the appearance of drug resistance have not been elucidated in human-infected Beijing strains. We tracked and obtained an original Mtb isolate of Beijing lineage from the 1999 tuberculosis outbreak in Japan, as well as five other isolates that spread in humans, and two isolates from the patient caused recurrence. Three isolates were from patients who developed TB within one year after infection (rapid-progressor, RP), and the other three isolates were from those who developed TB more than one year after infection (slow-progressor, SP). We sequenced genomes of these isolates and analyzed the propensity and rate of genomic mutations. Generation time versus mutation rate curves were significantly higher for RP. The ratio of oxidative versus non-oxidation damages induced mutations was higher in SP than RP, suggesting that persistent Mtb are exposed to oxidative stress in the latent state. Our data thus demonstrates that higher mutation rates of Mtb Beijing strains during human infection is likely to account for the higher adaptability and an emergence ratio of drug resistance.

Indexed as

Evolution, MolecularGenome, BacterialMutationBeijingDNA, BacterialDrug Resistance, BacterialHumansJapanMutation RateMycobacterium tuberculosisTuberculosisDNA, Bacterial

Identifiers

PMID33093577
PMCPMC7582865

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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.