Evidence map›Paper›PMID 35499994›Full record

ArticlePloS one2022

Whole genome sequencing of SARS-CoV2 strains circulating in Iran during five waves of pandemic.

Jila Yavarian, Ahmad Nejati, Vahid Salimi, Nazanin Zahra Shafiei Jandaghi, Kaveh Sadeghi, Adel Abedi, Ali Sharifi Zarchi, Mohammad Mehdi Gouya, Talat Mokhtari-Azad

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

Jila YavarianVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad NejatiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Vahid SalimiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Nazanin Zahra Shafiei JandaghiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Kaveh SadeghiVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Adel AbediMathematics Department, Shahid Beheshti University, Tehran, Iran.
Ali Sharifi ZarchiDepartment of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Mohammad Mehdi GouyaIranian Center for Communicable Disease Control, Tehran, Iran.
Talat Mokhtari-AzadVirology Department, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-9289-021X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhole genome sequencing of SARS-CoV2 is important to find useful information about the viral lineages, variants of interests and variants of concern. As there are not enough data about the circulating SARS-CoV2 variants in Iran, we sequenced 54 SARS-CoV2 genomes during the 5 waves of pandemic in Iran.

methodsAfter viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq platform. The sequencing data were analyzed and compared with reference sequences.

resultsDuring the 1st wave, V and L clades were detected. The second wave was recognized by G, GH and GR clades. Circulating clades during the 3rd wave were GH and GR. In the fourth wave GRY (alpha variant), GK (delta variant) and one GH clade (beta variant) were detected. All viruses in the fifth wave were in clade GK (delta variant). There were different mutations in all parts of the genomes but Spike-D614G, NSP12-P323L, N-R203K and N-G204R were the most frequent mutants in these studied viruses.

conclusionsThese findings display the significance of SARS-CoV2 monitoring to help on time detection of possible variants for pandemic control and vaccination plans.

Indexed as

COVID-19Influenza, HumanHumansIranPandemicsRNA, ViralSARS-CoV-2Whole Genome SequencingRNA, Viral

Identifiers

PMID35499994
PMCPMC9060343

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.