Evidence map›Paper›PMID 32937193›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2020

Quasi-species nature and differential gene expression of severe acute respiratory syndrome coronavirus 2 and phylogenetic analysis of a novel Iranian strain.

Abozar Ghorbani, Samira Samarfard, Amin Ramezani, Keramatollah Izadpanah, Alireza Afsharifar, Mohammad Hadi Eskandari, Thomas P Karbanowicz, Jonathan R Peters

Open access · greenAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

8 authors at 3 institutions in 2 countries.

Abozar GhorbaniPlant Virology Research Centre, College of Agriculture, Shiraz University, Shiraz, Iran.
Samira SamarfardQueensland Biosciences Precinct, The University of Queensland, St Lucia 4072, Queensland, Australia. Electronic address: s.samarfard@uq.edu.au.
Amin RamezaniShiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Keramatollah IzadpanahPlant Virology Research Centre, College of Agriculture, Shiraz University, Shiraz, Iran.
Alireza AfsharifarPlant Virology Research Centre, College of Agriculture, Shiraz University, Shiraz, Iran.
Mohammad Hadi EskandariDepartment of Food Science and Technology, College of Agriculture, Shiraz University, Shiraz, Iran.
Thomas P KarbanowiczQueensland Biosciences Precinct, The University of Queensland, St Lucia 4072, Queensland, Australia.
Jonathan R PetersQueensland Biosciences Precinct, The University of Queensland, St Lucia 4072, Queensland, Australia.
Shiraz University · IRThe University of Queensland · AUShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus related to severe acute respiratory syndrome virus, (SARS-CoV-2) is the causal agent of the COVID-19 pandemic. Despite the genetic mutations across the SARS-CoV-2 genome being recently investigated, its transcriptomic genetic polymorphisms at inter-host level and the viral gene expression level based on each Open Reading Frame (ORF) remains unclear. Using available High Throughput Sequencing (HTS) data and based on SARS-CoV-2 infected human transcriptomic data, this study presents a high-resolution map of SARS-CoV-2 single nucleotide polymorphism (SNP) hotspots in a viral population at inter-host level. Four throat swab samples from COVID-19 infected patients were pooled, with RNA-Seq read retrieved from SRA NCBI to detect 21 SNPs and a replacement across the SARS-CoV-2 genomic population. Twenty-two RNA modification sites on viral transcripts were identified that may cause inter-host genetic diversity of this virus. In addition, the canonical genomic RNAs of N ORF showed higher expression in transcriptomic data and reverse transcriptase quantitative PCR compared to other SARS-CoV-2 ORFs, indicating the importance of this ORF in virus replication or other major functions in virus cycle. Phylogenetic and ancestral sequence analyses based on the entire genome revealed that SARS-CoV-2 is possibly derived from a recombination event between SARS-CoV and Bat SARS-like CoV. Ancestor analysis of the isolates from different locations including Iran suggest shared Chinese ancestry. These results propose the importance of potential inter-host level genetic variations to the evolution of SARS-COV-2, and the formation of viral quasi-species. The RNA modifications discovered in this study may cause amino acid sequence changes in polyprotein, spike protein, product of ORF8 and nucleocapsid (N) protein, suggesting further insights to understanding the functional impacts of mutations in the life cycle and pathogenicity of SARS-CoV-2.

Indexed as

Polymorphism, Single NucleotideCOVID-19Gene Expression ProfilingGene Expression Regulation, ViralHigh-Throughput Nucleotide SequencingHumansIranPharynxPhylogenyQuasispeciesSARS-CoV-2Sequence Analysis, RNAViral ProteinsVirus ReplicationViral ProteinsInter-hostNucleocapsidOpen reading framePhylogeneticSARS-CoV-2Single nucleotide polymorphism

Identifiers

PMID32937193
PMCPMC7487081
OpenAlexW3085320063

What OpenQuestion holds

Textmetadata
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.