Evidence map›Paper›PMID 37648976›Full record

ArticleBMC genomics2023

Sequencing and characterization of Helcococcus ovis: a comprehensive comparative genomic analysis of virulence.

Federico Cunha, Segundo Casaro, Kristi L Jones, Rafael S Bisinotto, Subhashinie Kariyawasam, Mary B Brown, Klibs N Galvão

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2023. 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
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Pangenomic and biochemical analyses ofFrontiers in microbiology · 2024
    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

7 authors at 2 institutions in 1 country.

Federico CunhaDepartment of Large Animal Clinical Sciences, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Segundo CasaroDepartment of Large Animal Clinical Sciences, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Kristi L JonesDepartment of Large Animal Clinical Sciences, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Rafael S BisinottoDepartment of Large Animal Clinical Sciences, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Subhashinie KariyawasamDepartment of Comparative, Diagnostic and Population Medicine, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Mary B BrownDepartment of Infectious Diseases and Immunology, University of Florida College of Veterinary Medicine, Gainesville, FL, USA.
Klibs N GalvãoDepartment of Large Animal Clinical Sciences, University of Florida College of Veterinary Medicine, Gainesville, FL, USA. galvaok@ufl.edu.
University of Florida · USFlorida College · US

Funding

CVM Research Competitive Award Grant FLA-VME- 00131662U.S. Department of Agriculture Accession No. 1026802
6 · The paper itself

Abstract

backgroundHelcococcus ovis (H. ovis) is an emerging bacterial pathogen that commonly causes opportunistic respiratory, mammary, and uterine infections across mammalian hosts. This study applied long- and short-read whole genome sequencing technologies to identify virulence factors in five H. ovis isolates with low, medium, and high virulence phenotypes.

resultsThe resulting assemblies contained one circular chromosome ranging from 1,744,566 to 1,850,083 bp in length and had a mean GC content of 27.6%. Phylogenetic and nucleotide identity analyses found low virulence strain KG38 to be part of a clade that forms an outgroup apart from the rest of the H. ovis taxon. Assembling the first complete genomes of the species revealed major genomic rearrangements in KG38. One to six prophage regions were identified in each genome. A novel pathogenicity island was found exclusively in the two high virulence strains (KG37 and KG104), along with two hypothetical transmembrane proteins designated as putative VFs. Finally, three zinc ABC transporters and three Type-II/IV secretion systems were identified as possible virulence determinants in this species. The low virulence strain KG38 has fewer intact paralogs of these operons in its genome compared to the higher virulence isolates, which strongly suggests a role in virulence. This strain is also missing four putative virulence factors (VFs) found in other isolates associated with adherence (collagen adhesin precursor), immune evasion (choline-binding protein A and a PspA-like hypothetical protein) and cell wall synthesis (glycerol-3-phosphate cytidylyltransferase).

conclusionsIn this study, we assembled reference-quality complete genomes for five H. ovis strains to identify putative virulence factors. Phylogenetic analyses of H. ovis isolates revealed the presence of a clade representing a potentially novel species within the genus Helcococcus. A novel pathogenicity island and two hypothetical transmembrane proteins were found exclusively in high-virulence strains. The identification of Zinc ABC transporters and Type-II/IV secretion systems as possible virulence determinants, along with the differences in operon content between the low and high virulence isolates, strongly suggests they also play a role in the bacterium's pathogenicity. Taken together, these findings are a valuable first step toward deciphering the pathogenesis of H. ovis infections.

Indexed as

ATP-Binding Cassette TransportersVirulence FactorsAnimalsBacillotaEubacterialesMammalsPhylogenyVirulenceATP-Binding Cassette TransportersVirulence FactorsComplete genomeDairy cowHelcococcus ovisHybrid genome assemblyNanoporeUterine disease

Identifiers

PMID37648976
PMCPMC10466703
OpenAlexW4386292440

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.