Evidence map›Paper›PMID 28814302›Full record

ArticleBMC veterinary research2017

OmpA protein sequence-based typing and virulence-associated gene profiles of Pasteurella multocida isolates associated with bovine haemorrhagic septicaemia and porcine pneumonic pasteurellosis in Thailand.

Teerasak E-Kobon, Ratiporn Leeanan, Saengtian Pannoi, Pornchai Anuntasomboon, Pacharee Thongkamkoon, Arinthip Thamchaipenet

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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  2. Evaluation of a multi-epitope vaccine PME forFrontiers in immunology · 2025
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  3. Article
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  7. Role of OmpA1 and OmpA2 inJournal of oral microbiology · 2019
    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

6 authors at 2 institutions in 1 country.

Teerasak E-KobonDepartment of Genetics, Faculty of Science, Kasetsart University, 50, Ngam Wong Wan Rd, Lad Yao, Chatuchak, Bangkok, 10900, Thailand. fscitse@ku.ac.th.ORCID http://orcid.org/0000-0002-3919-9841
Ratiporn LeeananDepartment of Genetics, Faculty of Science, Kasetsart University, 50, Ngam Wong Wan Rd, Lad Yao, Chatuchak, Bangkok, 10900, Thailand.
Saengtian PannoiDepartment of Genetics, Faculty of Science, Kasetsart University, 50, Ngam Wong Wan Rd, Lad Yao, Chatuchak, Bangkok, 10900, Thailand.
Pornchai AnuntasomboonDepartment of Genetics, Faculty of Science, Kasetsart University, 50, Ngam Wong Wan Rd, Lad Yao, Chatuchak, Bangkok, 10900, Thailand.
Pacharee ThongkamkoonLaboratory of Bacteriology and Mycology, National Institute of Animal Health, Department of Livestock, Ministry of Agriculture and Cooperatives, 50/2 Kasetklang, Lad Yao, Chatuchak, Bangkok, 10900, Thailand.
Arinthip ThamchaipenetDepartment of Genetics, Faculty of Science, Kasetsart University, 50, Ngam Wong Wan Rd, Lad Yao, Chatuchak, Bangkok, 10900, Thailand.
Kasetsart University · THMinistry of Agriculture and Cooperatives · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPasteurella multocida is a Gram-negative bacterium that causes economically significant infections of a broad range of animal species. Pneumonic and septicaemic pasteurellosis caused by this bacterium remain important problems in pigs, cattle, and water buffaloes in Thailand. The aim of this study was to characterise the virulence-associated gene profiles and to develop an OmpA molecular typing scheme for classifying 191 bovine and porcine isolates of P. multocida collected between 1989 and 2012 in Thailand using polymerase chain reactions (PCRs), nucleotide sequencing, and sequence and structural bioinformatics analyses.

resultsPCR screening successfully characterised the profiles of 25 virulence-associated genes in all isolates. The gene profiles separated these isolates into bovine and porcine clusters based on eight genes (hgbB, hsf1, tadD, nanH, pfhA, plpE, pmHAS, and tbpA). Phylogenetic analyses of the nucleotide and protein sequences corresponding to the ompA gene, which encodes a major outer membrane surface protein, showed two major bovine and porcine clusters. Structural prediction and analysis of the dN/dS ratio revealed four hypervariable extracellular loops of the OmpA transmembrane domains. These four loops were used to develop an OmpA typing scheme. This scheme classified 186 isolates into five major loop sequence types (LST8, LST12, LST15, LST18, and LST19), consistent with the phylogenetic results. The loop regions of the bovine isolates were predicted to be more antigenic than those of the porcine isolates. Thus, molecular evolution of the OmpA proteins could be used to classify P. multocida isolates into different capsular types, host types, and, possibly, pathogenicity levels.

conclusionsTogether with the virulence-associated gene profiles, the typing reported in this work provides a better understanding of P. multocida virulence. Effective monitoring and potential strain-specific subunit vaccines could be developed based on these loop oligopeptides.

Indexed as

AnimalsBacterial Outer Membrane ProteinsBase SequenceBuffaloesCattleCattle DiseasesHemorrhagic SepticemiaPasteurella InfectionsPasteurella multocidaPasteurellosis, PneumonicPolymerase Chain ReactionSequence Analysis, ProteinSwineSwine DiseasesThailandVirulenceBacterial Outer Membrane ProteinsOMPA outer membrane proteinsHaemorrhagic septicaemiaMolecular evolutionMolecular typingompAPasteurella multocidaPneumonic pasteurellosisVirulence-associated genes

Identifiers

PMID28814302
PMCPMC5559837
OpenAlexW2747616741

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.