Evidence map›Paper›PMID 31774847›Full record

ArticlePloS one2019

Analysis of virulence potential of Escherichia coli O145 isolated from cattle feces and hide samples based on whole genome sequencing.

Pragathi B Shridhar, Jay N Worley, Xin Gao, Xun Yang, Lance W Noll, Xiaorong Shi, Jianfa Bai, Jianghong Meng, T G Nagaraja

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Prophage diversity in poultry-associatedFrontiers in microbiology · 2026
    Article
  2. Article
  3. Identification of Mobile Colistin Resistance GeneAntibiotics (Basel, Switzerland) · 2022
    Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Pragathi B ShridharDepartment of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas, United States of America.
Jay N WorleyJoint Institute for Food Safety and Applied Nutrition and Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, United States of America.
Xin GaoJoint Institute for Food Safety and Applied Nutrition and Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, United States of America.
Xun YangJoint Institute for Food Safety and Applied Nutrition and Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, United States of America.
Lance W NollVeterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, United States of America.
Xiaorong ShiDepartment of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas, United States of America.
Jianfa BaiVeterinary Diagnostic Laboratory, Kansas State University, Manhattan, Kansas, United States of America.
Jianghong MengJoint Institute for Food Safety and Applied Nutrition and Department of Nutrition and Food Science, University of Maryland, College Park, Maryland, United States of America.
T G NagarajaDepartment of Diagnostic Medicine/Pathobiology, Kansas State University, Manhattan, Kansas, United States of America.ORCID 0000-0002-0899-878X
Kansas State University · USCenter for Food Safety and Applied Nutrition · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli O145 serogroup is one of the big six non-O157 Shiga toxin producing E. coli (STEC) that causes foodborne illnesses in the United States and other countries. Cattle are a major reservoir of STEC, which harbor them in their hindgut and shed in the feces. Cattle feces is the main source of hide and subsequent carcass contaminations during harvest leading to foodborne illnesses in humans. The objective of our study was to determine the virulence potential of STEC O145 strains isolated from cattle feces and hide samples. A total of 71 STEC O145 strains isolated from cattle feces (n = 16), hide (n = 53), and human clinical samples (n = 2) were used in the study. The strains were subjected to whole genome sequencing using Illumina MiSeq platform. The average draft genome size of the fecal, hide, and human clinical strains were 5.41, 5.28, and 5.29 Mb, respectively. The average number of genes associated with mobile genetic elements was 260, 238, and 259, in cattle fecal, hide, and human clinical strains, respectively. All strains belonged to O145:H28 serotype and carried eae subtype γ. Shiga toxin 1a was the most common Shiga toxin gene subtype among the strains, followed by stx2a and stx2c. The strains also carried genes encoding type III secretory system proteins, nle, and plasmid-encoded virulence genes. Phylogenetic analysis revealed clustering of cattle fecal strains separately from hide strains, and the human clinical strains were more closely related to the hide strains. All the strains belonged to sequence type (ST)-32. The virulence gene profile of STEC O145 strains isolated from cattle sources was similar to that of human clinical strains and were phylogenetically closely related to human clinical strains. The genetic analysis suggests the potential of cattle STEC O145 strains to cause human illnesses. Inclusion of more strains from cattle and their environment in the analysis will help in further elucidation of the genetic diversity and virulence potential of cattle O145 strains.

Indexed as

Whole Genome SequencingAnimalsBase SequenceCattleCRISPR-Cas SystemsDrug Resistance, BacterialEscherichia coliFecesGenome, BacterialGenome SizeHumansPhylogenyPlasmidsProphagesVirulence

Identifiers

PMID31774847
PMCPMC6881001
OpenAlexW2990581023

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.