Evidence map›Paper›PMID 31455344›Full record

ArticleVirology journal2019

Molecular characterization of bovine leukemia virus reveals existence of genotype 4 in Chinese dairy cattle.

Yi Yang, Lina Chen, Maoli Dong, Wenjiang Huang, Xiaoli Hao, Yalan Peng, Zaicheng Gong, Aijian Qin, Shaobin Shang, Zhangping Yang

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Genetic Diversity of the BLVPathogens (Basel, Switzerland) · 2026
    Article
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  3. Article
  4. Review
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  6. Article
  7. Article
  8. Article
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  10. Review
  11. Molecular Characterization of thePathogens (Basel, Switzerland) · 2021
    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

10 authors at 2 institutions in 2 countries.

Yi YangJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Lina ChenJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Maoli DongJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Wenjiang HuangJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Xiaoli HaoJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Yalan PengJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Zaicheng GongJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Aijian QinJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
Shaobin ShangJiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses; College of Veterinary Medicine, Yangzhou University, Yangzhou, 225009, Jiangsu, China. shaobinshang@yzu.edu.cn.ORCID 0000-0003-4407-1911
Zhangping YangInternational Corporation Laboratory of Agriculture and Agricultural Products Safety, Yangzhou University, Yangzhou, 225009, Jiangsu, China. yzp@yzu.edu.cn.
Yangzhou University · CNVictim Support · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine leukemia virus (BLV) causes enzootic bovine leucosis and is widely spread worldwide, except several European countries, Australia and New Zealand. Although BLV is highly prevalent in China, information about the genetic diversity and evolutionary dynamics of BLV among Chinese dairy herds is still lacking. To determine the genetic variability of BLV, 219 cows from four cities of Ningxia province of China were screened for BLV infection by fluorescence resonance energy transfer (FRET)-PCR and sequencing, 16 selected positive samples were subjected to molecular characterization. Phylogenetic analysis using the neighbor-joining (NJ) method on complete sequences of envelope (env) gene of BLV obtained from China and those available in GenBank (representing BLV genotypes 1-10) revealed that those Chinese strains belonged to genotypes 4 and 6. Totally, 23 mutations were identified and 16 of them were determined to be unique mutations among Chinese strains. Alignment of the deduced amino acid sequences demonstrated six mutations in glycoprotein 51 (gp51) and three mutations in glycoprotein 30 (gp30) located in the identified neutralizing domain (ND), CD8

Indexed as

Evolution, MolecularGenetic VariationGenotypeMutationAnimalsCattleCattle DiseasesChinaDairyingEnzootic Bovine LeukosisFemaleGenes, envLeukemia Virus, BovinePhylogenySequence Analysis, DNAViral Envelope ProteinsViral Envelope ProteinsBovine leukemia virusEnvelope geneGenetic diversityMolecular characterization

Identifiers

PMID31455344
PMCPMC6712836
OpenAlexW2970628742

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.