Evidence map›Paper›PMID 32971122›Full record

ArticleChemico-biological interactions2020

Deciphering the SSR incidences across viral members of Coronaviridae family.

Rohit Satyam, Niraj Kumar Jha, Rohan Kar, Saurabh Kumar Jha, Ankur Sharma, Dhruv Kumar, Parma Nand, Janne Ruokolainen, Kavindra Kumar Kesari, Mohammad Amjad Kamal

Open access · greenAbstract read
In one paragraph

Article in Chemico-biological interactions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of biomolecular structure & dynamics · 2022
    Article
  4. COVIDium: a COVID-19 resource compendium.Database : the journal of biological databases and curation · 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 5 institutions in 4 countries.

Rohit SatyamDepartment of Biotechnology, Noida Institute of Engineering and Technology (NIET), Greater Noida, India.
Niraj Kumar JhaDepartment of Biotechnology, School of Engineering & Technology (SET), Sharda University, Greater Noida, 201310, India. Electronic address: nirajkumarjha2011@gmail.com.
Rohan KarIndian Institute of Management Ahmedabad (IIMA), Gujarat, 380015, India.
Saurabh Kumar JhaDepartment of Biotechnology, School of Engineering & Technology (SET), Sharda University, Greater Noida, 201310, India.
Ankur SharmaDepartment of Life Science, School of Basic Science & Research, Sharda University, Greater Noida, 201310, India.
Dhruv KumarAmity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University Uttar Pradesh, Noida, 201313, India.
Parma NandDepartment of Biotechnology, School of Engineering & Technology (SET), Sharda University, Greater Noida, 201310, India.
Janne RuokolainenDepartment of Applied Physics, Aalto University, Espoo, Finland.
Kavindra Kumar KesariDepartment of Applied Physics, Aalto University, Espoo, Finland.
Mohammad Amjad KamalKing Fahd Medical Research Center, King Abdulaziz University, P. O. Box 80216, Jeddah, 21589, Saudi Arabia; Enzymoics, Novel Global Community Educational Foundation, 7 Peterlee Place, Hebersham, NSW, 2770, Australia.
Sharda University · INAalto University · FIAmity University · INIndian Institute of Management Ahmedabad · INKing Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presence of Simple Sequence Repeats (SSRs), both in genic and intergenic regions, have been widely studied in eukaryotes, prokaryotes, and viruses. In the current study, we undertook a survey to analyze the frequency and distribution of microsatellites or SSRs in multiple genomes of Coronaviridae members. We successfully identified 919 SSRs with length ≥12 bp across 55 reference genomes majority of which (838 SSRs) were found abundant in genic regions. The in-silico analysis further identified the preferential abundance of hexameric SSRs than any other size-based motif class. Our analysis shows that the genome size and GC content of the genome had a weak influence on SSR frequency and density. However, we find a positive correlation of SSRs GC content with genomic GC content. We also report relatively low abundances of all theoretically possible 501 repeat motif classes in all the genomes of Coronaviridae. The majority of SSRs were AT-rich. Overall, we see an underrepresentation of SSRs across the genomes of Coronaviridae. Besides, our integrative study highlights the presence of SSRs in ORF1ab (nsp3, nsp4, nsp5A_3CLpro and nsp5B_3CLpro, nsp6, nsp10, nsp12, nsp13, & nsp15 domains), S, ORF3a, ORF7a, N & 3' UTR regions of SARS-CoV-2 and harbours multiple mutations (3'UTR and ORF1ab SSRs serving as major mutational hotspots). This indicates the genic SSRs are under selection pressure against mutations that might alter the reading frame and at the same time responsible for rapid protein evolution. Our preliminary results indicate the significance of the limited repertoire of SSRs in the genomes of Coronaviridae.

Indexed as

3' Untranslated RegionsBase CompositionBase SequenceBetacoronavirusCoronaviridaeEvolution, MolecularGenome, ViralHumansMicrosatellite RepeatsMutationPolyproteinsSARS-CoV-2Viral Proteins3' Untranslated RegionsORF1ab polyprotein, SARS-CoV-2PolyproteinsViral ProteinsCoronavirusesEvolutionMutationsSARS-CoV-2Simple sequence repeats (SSRs)

Identifiers

PMID32971122
PMCPMC7505113
OpenAlexW3087720713

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.