Evidence map›Paper›PMID 31664890›Full record

ArticleBMC genomics2019

Comprehensive analysis of genetic and evolutionary features of the hepatitis E virus.

Sarra Baha, Nouredine Behloul, Zhenzhen Liu, Wenjuan Wei, Ruihua Shi, Jihong Meng

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Ancient evolutionary origins of hepatitis E virus in rodents.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Analysis of codon usage patterns in open reading frame 4 of hepatitis E viruses.Beni-Suef University journal of basic and applied sciences · 2022
    Article
  11. Article
  12. Review
  13. Codon usage analysis of zoonotic coronaviruses reveals lower adaptation to humans by SARS-CoV-2.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  14. 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

6 authors at 2 institutions in 1 country.

Sarra BahaDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Jiangsu Province, China.
Nouredine BehloulCollege of Basic Medicine, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Zhenzhen LiuDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Jiangsu Province, China.
Wenjuan WeiDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Jiangsu Province, China.
Ruihua ShiDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Jiangsu Province, China. ruihuashi@126.com.
Jihong MengDepartment of Gastroenterology, Zhongda Hospital, Southeast University, Jiangsu Province, China. jihongmeng@163.com.
Zhongda Hospital Southeast University · CNShanghai University of Medicine and Health Sciences · CN

Funding

National Natural Science Foundation of China 31770998
6 · The paper itself

Abstract

backgroundThe hepatitis E virus (HEV) is the causative pathogen of hepatitis E, a global public health concern. HEV comprises 8 genotypes with a wide host range and geographic distribution. This study aims to determine the genetic factors influencing the molecular adaptive changes of HEV open reading frames (ORFs) and estimate the HEV origin and evolutionary history.

resultsSequences of HEV strains isolated between 1982 and 2017 were retrieved and multiple analyses were performed to determine overall codon usage patterns, effects of natural selection and/or mutation pressure and host influence on the evolution of HEV ORFs. Besides, Bayesian Coalescent Markov Chain Monte Carlo (MCMC) Analysis was performed to estimate the spatial-temporal evolution of HEV. The results indicated an A/C nucleotide bias and ORF-dependent codon usage bias affected mainly by natural selection. The adaptation of HEV ORFs to their hosts was also ORF-dependent, with ORF1 and ORF2 sharing an almost similar adaptation profile to the different hosts. The discriminant analysis based on the adaptation index suggested that ORF1 and ORF3 could play a pivotal role in viral host tropism.

conclusionIn this study, we estimate that the common ancestor of the modern HEV strains emerged ~ 6000 years ago, in the period following the domestication of pigs. Then, natural selection played the major role in the evolution of the codon usage of HEV ORFs. The significant adaptation of ORF1 of genotype 1 to humans, makes ORF1 an evolutionary indicator of HEV host speciation, and could explain the epidemic character of genotype 1 strains in humans.

Indexed as

Evolution, MolecularCodonHepatitis E virusMutationNucleotidesOpen Reading FramesPhylogenySelection, GeneticViral ProteinsCodonNucleotidesORF2 protein, Hepatitis E virusORF3 protein, Hepatitis E virusViral ProteinsBayesian phylogeneticsCodon usageEvolutionHepatitis E virusNatural selection

Identifiers

PMID31664890
PMCPMC6820953
OpenAlexW2982569516

What OpenQuestion 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 OpenQuestion graph.