Evidence map›Paper›PMID 31126340›Full record

ArticleBMC veterinary research2019

Genetic analysis of porcine productive and respiratory syndrome virus between 2013 and 2014 in Southern parts of China: identification of several novel strains with amino acid deletions or insertions in nsp2.

Shaofeng Hong, Ying Wei, Siyuan Lin, Jiabing Huang, Wei He, Jing Yao, Ying Chen, Ouyang Kang, Weijian Huang, Zuzhang Wei

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2019. 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
1.4field-weighted citation impact, top 21% 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, 9 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Shaofeng HongLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Ying WeiLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Siyuan LinLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Jiabing HuangLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Wei HeLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Jing YaoLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Ying ChenLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Ouyang KangLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China.
Weijian HuangLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China. weijianhuang-1@163.com.
Zuzhang WeiLaboratory of Animal infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, 530005, People's Republic of China. zuzhangwei@gxu.edu.cn.ORCID http://orcid.org/0000-0002-6317-2315
Guangxi University · CN

Funding

Natural Sciences Foundation of China 31372444Natural Sciences Foundation of China 31660716
6 · The paper itself

Abstract

backgroundPorcine respiratory and reproductive syndrome virus (PRRSV) is one of the most economically significant pathogens in the Chinese swine industry. ORF5 and nsp2 are highly variable regions of the PRRSV genome. Therefore, nsp2 and GP5 are often selected for investigation of variations and phylogenetic analyses for their genetic diversities. Knowledge of the molecular evolution of PRRSV field strains may contribute to the control of PRRS in China.

resultsThe results of multiple sequence alignments of GP5 showed that there is 84.5-100% aa identity among the 56 strains in this study. These strains shared 84.5-99.0% aa identity with the prototypical type 2 PRRSV VR-2332 and 56.6-59.2% with strain LV, prototypical type 1 PRRSV. Phylogenetic analysis showed there is considerable diversity among PRRSV ORF5 and the existence of two lineages (5 and 8). Most of the strains were classified into lineage 8 with multiple sub-lineages (3, 4 and 6). Moreover, PRRSV strains with 5 novel patterns of deletions or insertions in the nsp2 region were found.

conclusionsPhylogenetic analysis based on ORF5 sequences indicated the diversity of PRRSV in southern parts of China and the strains with 30 aa deletion in nsp2 are dominant in the porcine population. Also, new PRRSV strains with different patterns of deletions or insertions in nsp2 are emerging. The data presented here constitute a useful basis for further epidemiological studies regarding the heterogeneity of PRRSV strains in China and provide a basis for the prevention of PRRS in southern parts of China.

Indexed as

Genetic VariationAmino Acid SequenceAnimalsChinaEvolution, MolecularPhylogenyPorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSequence AlignmentSequence DeletionSwineDeletionGenetic analysisGP5nsp2PRRSV

Identifiers

PMID31126340
PMCPMC6534915
OpenAlexW2947557391

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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.