Evidence map›Paper›PMID 31561498›Full record

ArticleViruses2019

Genetic Analysis of Avian Coronavirus Infectious Bronchitis Virus in Yellow Chickens in Southern China over the Past Decade: Revealing the Changes of Genetic Diversity, Dominant Genotypes, and Selection Pressure.

Wensheng Fan, Ning Tang, Zhihua Dong, Jiming Chen, Wen Zhang, Changrun Zhao, Yining He, Meng Li, Cuilan Wu, Tianchao Wei and 3 more

Abstract read
In one paragraph

Article in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  18. The N1038S Substitution andFrontiers in microbiology · 2022
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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

13 authors.

Wensheng FanCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. 2003424318@163.com.
Ning TangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. tangningji77@163.com.
Zhihua DongCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. dongzhihua0818@163.com.
Jiming ChenCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. chenjiming8@126.com.
Wen ZhangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. wszw0719@163.com.
Changrun ZhaoCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. zcrun628@163.com.
Yining HeCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. heyiningf@foxmail.com.
Meng LiCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. mengli4836@163.com.
Cuilan WuCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. cuilanwu@163.com.
Tianchao WeiCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. tcwei88@126.com.
Teng HuangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. tenhhwang@163.com.
Meilan MoCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. momeilan@163.com.ORCID 0000-0003-3903-0509
Ping WeiCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China. pingwei8@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high mutation rates of infectious bronchitis virus (IBV) pose economic threats to the poultry industry. In order to track the genetic evolutionary of IBV isolates circulating in yellow chickens, we continued to conduct the genetic analyses of the structural genes S1, E, M, and N from 64 IBV isolates in southern China during 2009-2017. The results showed that the dominant genotypes based on the four genes had changed when compared with those during 1985-2008. Based on the S1 gene phylogenetic tree, LX4-type (GI-19) was the most dominant genotype, which was different from that during 1985-2008. The second most dominant genotype was LDT3-A-type, but this genotype disappeared after 2012. New-type 1 (GVI-1) isolates showed increasing tendency and there were four aa (QKEP) located in the hypervariable region (HVR) III and one aa (S) insertion in all the New-type 1 isolates. Both the analyses of amino acid entropy and molecular evolutionary rate revealed that the variations from large to small were S1, E, M, and N. Purifying selection was detected in the S1, E, M, and N gene proteins, which was different from the positive selection during 1985-2008. Six isolates were confirmed to be recombinants, possibly generated from a vaccine virus of the 4/91-type or LDT3-A-type and a circulating virus. The estimated times for the most recent common ancestors based on the S1, E, M, and N genes were the years of 1744, 1893, 1940, and 1945, respectively. Bayesian skyline analysis revealed a sharp decrease in genetic diversity of all the four structural genes after 2010 and since late 2015, the viral population rapidly rose. In conclusion, the IBVs circulating in southern China over the past decade have experienced a remarkable change in genetic diversity, dominant genotypes, and selection pressure, indicating the importance of permanent monitoring of circulating strains and the urgency for developing new vaccines to counteract the emerging LX4-type and New-type IBVs.

Indexed as

Evolution, MolecularAmino Acid SequenceAnimalsChickensChinaCoronavirus InfectionsGenetic VariationGenotypeInfectious bronchitis virusPhylogenyPoultry DiseasesRecombination, GeneticRNA, ViralSelection, GeneticViral Structural ProteinsRNA, ViralViral Structural Proteinsentropygenotypeinfectious bronchitis virusmolecular evolutionary raterecombinationselection pressure

Identifiers

PMID31561498
PMCPMC6833030

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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.