Evidence map›Paper›PMID 41731357›Full record

ArticleBMC genomics2026

Whole genome sequencing analyses of Chinese Glaesserella parasuis isolates reveal insights into their genomic characterization, virulence genes and antibiotic resistance genes.

Qi Sun, Bo Hong, Chengjun Zhang, Dongxian He, Xuexiang Yu, Xugang Ku, Wei Zeng, Tuo Xu, Zhixian Yu, Shuo Zhang and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Qi SunNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Bo HongNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Chengjun ZhangNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Dongxian HeNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Xuexiang YuNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Xugang KuNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Wei ZengNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Tuo XuNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Zhixian YuYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd, Kunming, China.
Shuo ZhangYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd, Kunming, China.
Ping BaiYunnan Southwest Agriculture and Animal Husbandry Group Co., Ltd, Kunming, China.
Wentao LiNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
Qigai HeNational Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China. he628@mail.hzau.edu.cn.

Funding

China Agriculture Research System of MOF and MARA No. CARS-35DBN Public Welfare Fund for young scholars of HZAU No. 99921001Hubei Provincial Key R&D Program 2023BBB141
6 · The paper itself

Abstract

backgroundGlaesserella parasuis is a pathogen that frequently targets the upper respiratory tract of pigs, and it poses a considerable threat to the pig industry. The aim of this study is to enrich the genetic database of G. parasuis, as well as increase the understanding of the population structure, genetic evolutionary characteristics, potential virulence factors and antibiotic resistance genes (ARGs) associated with this pathogen. This study utilized whole genome sequencing (WGS) to conduct genomic analyses on 123 G. parasuis isolates that were isolated from diseased pigs between 2017 and April 2022.

resultsThe findings of this study indicated that there was variation in both genome size (2.12 Mb ~ 2.54 Mb) and G + C content (39.50% ~ 39.99%). Multilocus sequence typing (MLST) analysis revealed 99 STs out of the 123 G. parasuis isolates, with 83 STs (83.84%) being new discoveries. Phylogenetic analysis revealed two major lineages distinguished by serovars and STs. Potential virulence genes (tufA, lonA, and apa1) in G. parasuis were first reported in this study. Multiple antibiotic resistance genes (floR, tet(B), tetR, aph(3’)-Ia, strA, strB, sul2 and blaRob−1) were widely present in G. parasuis. Additionally, both integrative and conjugative elements (ICEs) as well as integron mobile elements (IMEs) were shown to be significantly present in G. parasuis.

conclusionsBy analyzing genomic data from Chinese pig farms, we have gained valuable insights into the genotypes and antibiotic resistance of G. parasuis in swine populations, this knowledge will enhance our ability to prevent and control this disease effectively. The research findings indicate the prevalence of potential virulence factors, ARGs, ICEs and IMEs in G. parasuis.

Indexed as

Drug Resistance, BacterialGenome, BacterialHaemophilus parasuisVirulence FactorsWhole Genome SequencingAnimalsGenomicsMultilocus Sequence TypingPhylogenySwineSwine DiseasesVirulenceVirulence FactorsAntimicrobial resistance genesGlaesserella parasuisIntegrative and conjugative elementMultilocus sequence typingPhylogenyVirulence genesWhole genome sequencing

Identifiers

PMID41731357
PMCPMC13032436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.