Evidence map›Paper›PMID 24789986›Full record

ArticleMicrobes and environments2014

Characterization of multi-antibiotic-resistant Escherichia coli Isolated from beef cattle in Japan.

Shiori Yamamoto, Motoki Nakano, Wataru Kitagawa, Michiko Tanaka, Teruo Sone, Katsuya Hirai, Kozo Asano

Abstract read
In one paragraph

Article in Microbes and environments, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Antibiotics Resistance inInternational journal of microbiology · 2022
    Article
  3. Article
  4. IncI1 Plasmid Associated withAntibiotics (Basel, Switzerland) · 2020
    Article
  5. Article
  6. Article
  7. Review
  8. 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

7 authors.

Shiori YamamotoApplied Microbiology, Graduate School of Agriculture, Hokkaido University.
Motoki Nakano
Wataru Kitagawa
Michiko Tanaka
Teruo Sone
Katsuya Hirai
Kozo Asano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of multiple-antibiotic-resistance bacteria is increasing, which is a particular concern on livestock farms. We previously isolated 1,347 antimicrobial-resistant (AMR) Escherichia coli strains from the feces of beef cattle on 14 Japanese farms. In the present study, the genetic backgrounds and phylogenetic relationships of 45 AMR isolates were characterized by the chromosome phylotype, AMR phenotype, AMR genotype, and plasmid type. These isolates were classified into five chromosome phylotypes, which were closely linked to the farms from which they were isolated, suggesting that each farm had its own E. coli phylotype. AMR phenotype and plasmid type analyses yielded 8 and 14 types, all of which were associated with the chromosomal phylotype and, thus, to the original farms. AMR genotype analysis revealed more variety, with 16 types, indicating both inter- and intra-farm diversity. Different phylotype isolates from the same farm shared highly similar plasmid types, which indicated that plasmids with AMR genes could be transferred between phylotypes, thereby generating multi-antibiotic-resistant microorganisms. This ecological study demonstrated that the chromosome phylotype was strongly correlated with the farm from which they were isolated, while the AMR phenotype, genotype, and plasmid type were generally correlated with the chromosome phylotype and farm source.

Indexed as

AnimalsAnti-Bacterial AgentsCattleCattle DiseasesChromosomes, BacterialCluster AnalysisDrug Resistance, Multiple, BacterialElectrophoresis, Gel, Pulsed-FieldEscherichia coliEscherichia coli InfectionsFecesGenotypeJapanMicrobial Sensitivity TestsPhenotypePhylogenyAnti-Bacterial Agents

Identifiers

PMID24789986
PMCPMC4103519

What OpenQuestion holds

Textmetadata
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.