Evidence map›Paper›PMID 37897627›Full record

ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2023

Phylodynamic characteristics of reassortant DS-1-like G3P[8]-strains of rotavirus type A isolated in Nizhny Novgorod (Russia).

Olga V Morozova, T A Sashina, N V Epifanova, E I Velikzhanina, N A Novikova

Abstract read
In one paragraph

Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Olga V MorozovaDepartment of Molecular Epidemiology of Viral Infections, I.N. Blokhina Nizhny Novgorod Research Institute of Epidemiology and Microbiology, Nizhny Novgorod, Russia. olga.morozova.bsc@gmail.com.ORCID http://orcid.org/0000-0002-8058-8187
T A SashinaDepartment of Molecular Epidemiology of Viral Infections, I.N. Blokhina Nizhny Novgorod Research Institute of Epidemiology and Microbiology, Nizhny Novgorod, Russia.
N V EpifanovaDepartment of Molecular Epidemiology of Viral Infections, I.N. Blokhina Nizhny Novgorod Research Institute of Epidemiology and Microbiology, Nizhny Novgorod, Russia.
E I VelikzhaninaDepartment of Molecular Epidemiology of Viral Infections, I.N. Blokhina Nizhny Novgorod Research Institute of Epidemiology and Microbiology, Nizhny Novgorod, Russia.
N A NovikovaDepartment of Molecular Epidemiology of Viral Infections, I.N. Blokhina Nizhny Novgorod Research Institute of Epidemiology and Microbiology, Nizhny Novgorod, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2013, there has been an increase in reports of the spread of a double intergroup reassortant strain of rotavirus type A (RVA) with the genotype G3P[8] and other genes belonging to the second genogroup I2-R2-C2-M2-A2-N2-T2-E2-H2. In our study, we provide a molecular genetic characterization of rotaviruses with genotype G3P[8]-I2 isolated in Nizhny Novgorod. In our study, we used RT-PCR, Sanger sequencing, RNA-PAGE methods. Phylogenetic and phylodynamic analysis were performed using the Bayesian approach. According to our study, there was a significant increase in the proportion of G3P[8] from 15% during the period of 2020-2021 to 53% during the period of 2021-2022 in Nizhny Novgorod, Russia. Phylogenetic analysis based on the VP4 gene revealed that DS-1-like RVAs isolated in Nizhny Novgorod belong to different clusters of the P[8]-3.1 lineage, with a level of variation ranging from 1.1% to 1.3%. Based on the VP6 gene, the equine-like RVAs identified by us carry genetic variants belonging to three distinct clusters of the lineage I2-V, with a variation level ranging from 2.0% to 4.5%. These data indicate the genotypic diversity of circulating DS-1-like G3 RVAs. Phylogenetic analysis of the VP7 gene allowed us to assign the isolates identified in our study to the G3-1 lineage. We estimated that the circulation of the most recent common ancestor of the spreading strains dates back to 2002. Additionally, we determined the typical level of mutations in the VP7 gene, which amounted to 2.14*10-3 substitutions/per site/per year.

Indexed as

RotavirusRotavirus InfectionsAnimalsBayes TheoremGenome, ViralGenotypeHorsesPhylogenyRussiaChildrenPhylodynamicsReassortantRotavirus

Identifiers

PMID37897627
PMCPMC10689624

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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.