Evidence map›Paper›PMID 37072853›Full record

ArticleVirology journal2023

MRF: a tool to overcome the barrier of inconsistent genome annotations and perform comparative genomics studies for the largest animal DNA virus.

Karthic Krishnan, Vinaya Kumar Katneni, Sudheesh K Prabhudas, Nimisha Kaikkolante, Ashok Kumar Jangam, Upendra Kumar Katneni, Chris Hauton, Luca Peruzza, Shashi Shekhar Mudagandur, Vijayan K Koyadan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 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
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

12 authors at 5 institutions in 4 countries.

Karthic Krishnan *Centre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Vinaya Kumar Katneni *Centre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India. Vinaya.Katneni@icar.gov.in.
Sudheesh K PrabhudasCentre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Nimisha KaikkolanteCentre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Ashok Kumar JangamCentre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Upendra Kumar KatneniThe Center for Blood Oxygen Transport and Hemostasis, Department of Pediatrics, University of Maryland School of Medicine, Maryland, USA.
Chris HautonOcean and Earth Science, National Oceanography Centre Southampton, University of Southampton Waterfront Campus, Southampton, UK.
Luca PeruzzaDepartment of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Padua, Italy.
Shashi Shekhar MudagandurCentre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Vijayan K KoyadanCentre for Bioinformatics, Nutrition Genetics and Biotechnology Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Jithendran Karingalakkandy PoochirianAquatic Animal Health and Environment Division, ICAR - Central Institute of Brackishwater Aquaculture, 75, Santhome High Road, MRC Nagar, RA Puram, Chennai, Tamil Nadu, 600028, India.
Joykrushna JenaIndian Council of Agricultural Research, New Delhi, India.
Central Institute of Brackishwater Aquaculture · INIndian Council of Agricultural Research · INNational Oceanography Centre · GBUniversity of Maryland, Baltimore · USUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genome of the largest known animal virus, the white spot syndrome virus (WSSV) responsible for huge economic losses and loss of employment in aquaculture, suffers from inconsistent annotation nomenclature. Novel genome sequence, circular genome and variable genome length led to nomenclature inconsistencies. Since vast knowledge has already accumulated in the past two decades with inconsistent nomenclature, the insights gained on a genome could not be easily extendable to other genomes. Therefore, the present study aims to perform comparative genomics studies in WSSV on uniform nomenclature.

methodsWe have combined the standard mummer tool with custom scripts to develop missing regions finder (MRF) that documents the missing genome regions and coding sequences in virus genomes in comparison to a reference genome and in its annotation nomenclature. The procedure was implemented as web tool and in command-line interface. Using MRF, we have documented the missing coding sequences in WSSV and explored their role in virulence through application of phylogenomics, machine learning models and homologous genes.

resultsWe have tabulated and depicted the missing genome regions, missing coding sequences and deletion hotspots in WSSV on a common annotation nomenclature and attempted to link them to virus virulence. It was observed that the ubiquitination, transcription regulation and nucleotide metabolism might be essentially required for WSSV pathogenesis; and the structural proteins, VP19, VP26 and VP28 are essential for virus assembly. Few minor structural proteins in WSSV would act as envelope glycoproteins. We have also demonstrated the advantage of MRF in providing detailed graphic/tabular output in less time and also in handling of low-complexity, repeat-rich and highly similar regions of the genomes using other virus cases.

conclusionsPathogenic virus research benefits from tools that could directly indicate the missing genomic regions and coding sequences between isolates/strains. In virus research, the analyses performed in this study provides an advancement to find the differences between genomes and to quickly identify the important coding sequences/genomes that require early attention from researchers. To conclude, the approach implemented in MRF complements similarity-based tools in comparative genomics involving large, highly-similar, length-varying and/or inconsistently annotated viral genomes.

Indexed as

VirusesWhite spot syndrome virus 1AnimalsDNA VirusesGenome, ViralGenomicsBLASTComparative genomicsDeleted CDSGenome analysisMRFVirology

Identifiers

PMID37072853
PMCPMC10111743
OpenAlexW4366276690

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.