Evidence map›Paper›PMID 32807836›Full record

ArticleScientific reports2020

Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome.

Basanta Pravas Sahu, Prativa Majee, Ravi Raj Singh, Anjan Sahoo, Debasis Nayak

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Recent advances in diagnostic approaches for orf virus.Applied microbiology and biotechnology · 2023
    Review
  11. Comparative analysis of nineFrontiers in microbiology · 2023
    Article
  12. Article
  13. A Review on Human Orf: A Neglected Viral Zoonosis.Research and reports in tropical medicine · 2021
    Review
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

5 authors at 1 institution in 1 country.

Basanta Pravas SahuDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, MP, 453 552, India.
Prativa MajeeDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, MP, 453 552, India.ORCID http://orcid.org/0000-0001-6807-010X
Ravi Raj SinghDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, MP, 453 552, India.
Anjan SahooCollege of Veterinary Science and Animal Husbandry, Bhubaneswar, 751003, India.
Debasis NayakDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore, MP, 453 552, India. nayakdn@iiti.ac.in.ORCID http://orcid.org/0000-0002-4762-4553
Indian Institute of Technology Indore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide in-silico identification of microsatellites or simple sequence repeats (SSRs) in the Orf virus (ORFV), the causative agent of contagious ecthyma has been carried out to investigate the type, distribution and its potential role in the genome evolution. We have investigated eleven ORFV strains, which resulted in the presence of 1,036-1,181 microsatellites per strain. The further screening revealed the presence of 83-107 compound SSRs (cSSRs) per genome. Our analysis indicates the dinucleotide (76.9%) repeats to be the most abundant, followed by trinucleotide (17.7%), mononucleotide (4.9%), tetranucleotide (0.4%) and hexanucleotide (0.2%) repeats. The Relative Abundance (RA) and Relative Density (RD) of these SSRs varied between 7.6-8.4 and 53.0-59.5 bp/kb, respectively. While in the case of cSSRs, the RA and RD ranged from 0.6-0.8 and 12.1-17.0 bp/kb, respectively. Regression analysis of all parameters like the incident of SSRs, RA, and RD significantly correlated with the GC content. But in a case of genome size, except incident SSRs, all other parameters were non-significantly correlated. Nearly all cSSRs were composed of two microsatellites, which showed no biasedness to a particular motif. Motif duplication pattern, such as, (C)-x-(C), (TG)-x-(TG), (AT)-x-(AT), (TC)- x-(TC) and self-complementary motifs, such as (GC)-x-(CG), (TC)-x-(AG), (GT)-x-(CA) and (TC)-x-(AG) were observed in the cSSRs. Finally, in-silico polymorphism was assessed, followed by in-vitro validation using PCR analysis and sequencing. The thirteen polymorphic SSR markers developed in this study were further characterized by mapping with the sequence present in the database. The results of the present study indicate that these SSRs could be a useful tool for identification, analysis of genetic diversity, and understanding the evolutionary status of the virus.

Indexed as

Genome, ViralPolymorphism, GeneticComputer SimulationEvolution, MolecularGenetic VariationMicrosatellite RepeatsOrf virusPolymerase Chain Reaction

Identifiers

PMID32807836
PMCPMC7431841
OpenAlexW3049071016

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LicenceCC BY
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Registered trials

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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.