Evidence map›Paper›PMID 42076686›Full record

ArticleVeterinary sciences2026

Analysis of Molecular Epidemiological Characteristics of Porcine Reproductive and Respiratory Syndrome Virus Type 2 in Shandong Province from 2023 to 2025.

Zhenyang Li, Xinyuan Wang, Lin Jiang, Kexin Jin, Zhaoyang Feng, Jie Xu, Yesheng Shen, Fanliang Meng, Jianhua Qiu, Ning Li and 2 more

Abstract read
In one paragraph

Article in Veterinary sciences, 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

12 authors.

Zhenyang LiShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Xinyuan WangShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Lin JiangShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Kexin JinShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Zhaoyang FengCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210000, China.
Jie XuVeterinary Institute, Chinese Academy of Agricultural Sciences, Lanzhou Veterinary Research Institute, Lanzhou 730000, China.
Yesheng ShenVeterinary Institute, Chinese Academy of Agricultural Sciences, Lanzhou Veterinary Research Institute, Lanzhou 730000, China.ORCID 0000-0003-4809-3982
Fanliang MengShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Jianhua QiuShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Ning LiShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Sidang LiuShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.
Gang WangShandong Provincial Key Laboratory of Zoonoses, College of Veterinary Medicine, Shandong Agricultural University, Taian 271000, China.

Funding

High-level Talents Recruitment Program of Shandong Agricultural University withoutJoint Fund of Shandong Provincial Natural Science Foundation ZR2023LSW007Taian Agricultural Improved Breed Project: Innovation, Selection and Application of Changbai Pig Germplasm withoutTaishan Young Scholar Program of Shandong Province tsqn202211099the Shandong Provincial Key R&D Program (Shandong Science and Technology SME Innovation Enhancement Project): Research and Application of Key Technologies for Genetic Selection and Healthy Breeding of Changbai Pig 2024TSGC0844
6 · The paper itself

Abstract

Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) poses a serious threat to the swine industry in China. As a major pig-producing province, Shandong requires continuous epidemiological monitoring of PRRSV. To elucidate the molecular epidemiology of the virus, 1621 clinical samples were collected from suspected cases across different regions of Shandong Province between 2023 and 2025, primarily from Tai'an, Linyi, Jining, and Liaocheng. RT-qPCR detection showed that the positive rate for PRRSV-2 was 20.05% (325/1621). Genetic analysis based on ORF5 and NSP2 genes indicated that Sublineage L1C (NADC30-like) was the dominant strain for 38.38% of ORF5 gene and 72.73% of NSP2 sequencing results. This was followed by Sublineage L8E and L1A and L5A strains. Key virulence-related mutations were identified at residues R13 and R151 in the GP5 protein, which are associated with enhanced pathogenicity. Additionally, variations in neutralizing epitope and the number of N-glycosylation sites (ranging from 2 to 5 per strain) suggested potential immune evasion. Notably, 26.79% (15/56) of sequenced samples showed discordant ORF5 and NSP2 genotyping results, indicating widespread recombination among PRRSV strains in Shandong Province. These finding demonstrated that the genetic diversity, high recombination frequency, and key amino acid variations in circulating PRRSV strains collectively undermine vaccine effectiveness. This study highlights the need to optimize vaccination strategies, enhance biosecurity measures, and implement effective disease control and elimination programs to reduce the impact of PRRSV in Shandong Province.

Indexed as

genetic diversitymolecular epidemiologyPRRSVrecombinationShandong province

Identifiers

PMID42076686
PMCPMC13120075

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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.