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


Journal

Virology journal
ISSN: 1743-422X
Titre abrégé: Virol J
Pays: England
ID NLM: 101231645

Informations de publication

Date de publication:
18 04 2023
Historique:
received: 29 11 2022
accepted: 09 04 2023
medline: 20 4 2023
pubmed: 19 4 2023
entrez: 19 04 2023
Statut: epublish

Résumé

The 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. We 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. We 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. Pathogenic 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.

Sections du résumé

BACKGROUND
The 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.
METHODS
We 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.
RESULTS
We 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.
CONCLUSIONS
Pathogenic 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.

Identifiants

pubmed: 37072853
doi: 10.1186/s12985-023-02035-w
pii: 10.1186/s12985-023-02035-w
pmc: PMC10111743
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

72

Informations de copyright

© 2023. The Author(s).

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Auteurs

Karthic Krishnan (K)

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 (VK)

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 Prabhudas (SK)

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.

Nimisha Kaikkolante (N)

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.

Ashok Kumar Jangam (AK)

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.

Upendra Kumar Katneni (UK)

The Center for Blood Oxygen Transport and Hemostasis, Department of Pediatrics, University of Maryland School of Medicine, Maryland, USA.

Chris Hauton (C)

Ocean and Earth Science, National Oceanography Centre Southampton, University of Southampton Waterfront Campus, Southampton, UK.

Luca Peruzza (L)

Department of Comparative Biomedicine and Food Science, University of Padova, Legnaro, Padua, Italy.

Shashi Shekhar Mudagandur (SS)

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.

Vijayan K Koyadan (VK)

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.

Jithendran Karingalakkandy Poochirian (JK)

Aquatic 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 Jena (J)

Indian Council of Agricultural Research, New Delhi, India.

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