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Ritsch M, Cassman NA, Saghaei S, Marz M. Navigating the Landscape: A Comprehensive Review of Current Virus Databases. Viruses 2023; 15:1834. [PMID: 37766241 PMCID: PMC10537806 DOI: 10.3390/v15091834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/18/2023] [Accepted: 08/21/2023] [Indexed: 09/29/2023] Open
Abstract
Viruses are abundant and diverse entities that have important roles in public health, ecology, and agriculture. The identification and surveillance of viruses rely on an understanding of their genome organization, sequences, and replication strategy. Despite technological advancements in sequencing methods, our current understanding of virus diversity remains incomplete, highlighting the need to explore undiscovered viruses. Virus databases play a crucial role in providing access to sequences, annotations and other metadata, and analysis tools for studying viruses. However, there has not been a comprehensive review of virus databases in the last five years. This study aimed to fill this gap by identifying 24 active virus databases and included an extensive evaluation of their content, functionality and compliance with the FAIR principles. In this study, we thoroughly assessed the search capabilities of five database catalogs, which serve as comprehensive repositories housing a diverse array of databases and offering essential metadata. Moreover, we conducted a comprehensive review of different types of errors, encompassing taxonomy, names, missing information, sequences, sequence orientation, and chimeric sequences, with the intention of empowering users to effectively tackle these challenges. We expect this review to aid users in selecting suitable virus databases and other resources, and to help databases in error management and improve their adherence to the FAIR principles. The databases listed here represent the current knowledge of viruses and will help aid users find databases of interest based on content, functionality, and scope. The use of virus databases is integral to gaining new insights into the biology, evolution, and transmission of viruses, and developing new strategies to manage virus outbreaks and preserve global health.
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Affiliation(s)
- Muriel Ritsch
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Noriko A. Cassman
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Shahram Saghaei
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
| | - Manja Marz
- RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany;
- European Virus Bioinformatics Center, 07743 Jena, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany
- FLI Leibniz Institute for Age Research, 07745 Jena, Germany
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Starchevskaya M, Kamanova E, Vyatkin Y, Tregubchak T, Bauer T, Bodnev S, Rotskaya U, Polenogova O, Kryukov V, Antonets D. The Metagenomic Analysis of Viral Diversity in Colorado Potato Beetle Public NGS Data. Viruses 2023; 15:v15020395. [PMID: 36851611 PMCID: PMC9963324 DOI: 10.3390/v15020395] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/03/2023] Open
Abstract
The Colorado potato beetle (CPB) is one of the most serious insect pests due to its high ecological plasticity and ability to rapidly develop resistance to insecticides. The use of biological insecticides based on viruses is a promising approach to control insect pests, but the information on viruses which infect leaf feeding beetles is scarce. We performed a metagenomic analysis of 297 CPB genomic and transcriptomic samples from the public National Center for Biotechnology Information Sequence Read Archive (NCBI SRA) database. The reads that were not aligned to the reference genome were assembled with metaSPAdes, and 13314 selected contigs were analyzed with BLAST tools. The contigs and non-aligned reads were also analyzed with Kraken2 software. A total of 3137 virus-positive contigs were attributed to different viruses belonging to 6 types, 17 orders, and 32 families, matching over 97 viral species. The annotated sequences can be divided into several groups: those that are homologous to genetic sequences of insect viruses (Adintoviridae, Ascoviridae, Baculoviridae, Dicistroviridae, Chuviridae, Hytrosaviridae, Iflaviridae, Iridoviridae, Nimaviridae, Nudiviridae, Phasmaviridae, Picornaviridae, Polydnaviriformidae, Xinmoviridae etc.), plant viruses (Betaflexiviridae, Bromoviridae, Kitaviridae, Potyviridae), and endogenous retroviral elements (Retroviridae, Metaviridae). Additionally, the full-length genomes and near-full length genome sequences of several viruses were assembled. We also found sequences belonging to Bracoviriform viruses and, for the first time, experimentally validated the presence of bracoviral genetic fragments in the CPB genome. Our work represents the first attempt to discover the viral genetic material in CPB samples, and we hope that further studies will help to identify new viruses to extend the arsenal of biopesticides against CPB.
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Affiliation(s)
- Maria Starchevskaya
- State Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, 630559 Koltsovo, Russia
- Novel Software Systems LLC, Akademika Lavrentiev ave. 6, 630090 Novosibirsk, Russia
- Institute of Systematics and Ecology of Animals SB RAS, Frunze str. 11, 630091 Novosibirsk, Russia
- Correspondence:
| | - Ekaterina Kamanova
- State Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, 630559 Koltsovo, Russia
- Novel Software Systems LLC, Akademika Lavrentiev ave. 6, 630090 Novosibirsk, Russia
| | - Yuri Vyatkin
- Novel Software Systems LLC, Akademika Lavrentiev ave. 6, 630090 Novosibirsk, Russia
- Department of Natural Sciences, Novosibirsk State University, Pirogova str. 2, 630090 Novosibirsk, Russia
| | - Tatyana Tregubchak
- State Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, 630559 Koltsovo, Russia
| | - Tatyana Bauer
- State Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, 630559 Koltsovo, Russia
| | - Sergei Bodnev
- State Research Center of Virology and Biotechnology “Vector”, Rospotrebnadzor, 630559 Koltsovo, Russia
| | - Ulyana Rotskaya
- Institute of Systematics and Ecology of Animals SB RAS, Frunze str. 11, 630091 Novosibirsk, Russia
| | - Olga Polenogova
- Institute of Systematics and Ecology of Animals SB RAS, Frunze str. 11, 630091 Novosibirsk, Russia
| | - Vadim Kryukov
- Institute of Systematics and Ecology of Animals SB RAS, Frunze str. 11, 630091 Novosibirsk, Russia
| | - Denis Antonets
- Novel Software Systems LLC, Akademika Lavrentiev ave. 6, 630090 Novosibirsk, Russia
- MSU Institute for Artificial Intelligence, Lomonosov ave. 27, 119192 Moscow, Russia
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Jiang JZ, Yuan WG, Shang J, Shi YH, Yang LL, Liu M, Zhu P, Jin T, Sun Y, Yuan LH. Virus classification for viral genomic fragments using PhaGCN2. Brief Bioinform 2023; 24:6868523. [PMID: 36464489 DOI: 10.1093/bib/bbac505] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 12/12/2022] Open
Abstract
Viruses are the most ubiquitous and diverse entities in the biome. Due to the rapid growth of newly identified viruses, there is an urgent need for accurate and comprehensive virus classification, particularly for novel viruses. Here, we present PhaGCN2, which can rapidly classify the taxonomy of viral sequences at the family level and supports the visualization of the associations of all families. We evaluate the performance of PhaGCN2 and compare it with the state-of-the-art virus classification tools, such as vConTACT2, CAT and VPF-Class, using the widely accepted metrics. The results show that PhaGCN2 largely improves the precision and recall of virus classification, increases the number of classifiable virus sequences in the Global Ocean Virome dataset (v2.0) by four times and classifies more than 90% of the Gut Phage Database. PhaGCN2 makes it possible to conduct high-throughput and automatic expansion of the database of the International Committee on Taxonomy of Viruses. The source code is freely available at https://github.com/KennthShang/PhaGCN2.0.
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Affiliation(s)
- Jing-Zhe Jiang
- Key Laboratory of South China Sea Fishery Resources Exploitation & Utilization, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, Guangdong, China.,Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China.,College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China.,Tianjin Agricultural University, Tianjin 300384, China
| | - Wen-Guang Yuan
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
| | - Jiayu Shang
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China
| | - Ying-Hui Shi
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
| | - Li-Ling Yang
- Tianjin Agricultural University, Tianjin 300384, China
| | - Min Liu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Peng Zhu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai 201306, China
| | - Tao Jin
- Guangdong Magigene Biotechnology Co., Ltd, Guangzhou 510000, Guangdong, China
| | - Yanni Sun
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong (SAR), China
| | - Li-Hong Yuan
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, Guangdong, China
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Wiedemann J, Kaczor J, Milostan M, Zok T, Blazewicz J, Szachniuk M, Antczak M. RNAloops: a database of RNA multiloops. Bioinformatics 2022; 38:4200-4205. [PMID: 35809063 PMCID: PMC9438955 DOI: 10.1093/bioinformatics/btac484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/26/2022] [Accepted: 07/06/2022] [Indexed: 12/24/2022] Open
Abstract
MOTIVATION Knowledge of the 3D structure of RNA supports discovering its functions and is crucial for designing drugs and modern therapeutic solutions. Thus, much attention is devoted to experimental determination and computational prediction targeting the global fold of RNA and its local substructures. The latter include multi-branched loops-functionally significant elements that highly affect the spatial shape of the entire molecule. Unfortunately, their computational modeling constitutes a weak point of structural bioinformatics. A remedy for this is in collecting these motifs and analyzing their features. RESULTS RNAloops is a self-updating database that stores multi-branched loops identified in the PDB-deposited RNA structures. A description of each loop includes angular data-planar and Euler angles computed between pairs of adjacent helices to allow studying their mutual arrangement in space. The system enables search and analysis of multiloops, presents their structure details numerically and visually, and computes data statistics. AVAILABILITY AND IMPLEMENTATION RNAloops is freely accessible at https://rnaloops.cs.put.poznan.pl. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Jakub Wiedemann
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Jacek Kaczor
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Maciej Milostan
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland,Poznan Supercomputing and Networking Center, 61-131 Poznan, Poland
| | - Tomasz Zok
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland,Poznan Supercomputing and Networking Center, 61-131 Poznan, Poland
| | - Jacek Blazewicz
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland,Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
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Zok T, Kraszewska N, Miskiewicz J, Pielacinska P, Zurkowski M, Szachniuk M. ONQUADRO: a database of experimentally determined quadruplex structures. Nucleic Acids Res 2022; 50:D253-D258. [PMID: 34986600 PMCID: PMC8728301 DOI: 10.1093/nar/gkab1118] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 01/02/2023] Open
Abstract
ONQUADRO is an advanced database system that supports the study of the structures of canonical and non-canonical quadruplexes. It combines a relational database that collects comprehensive information on tetrads, quadruplexes, and G4-helices; programs to compute structure parameters and visualise the data; scripts for statistical analysis; automatic updates and newsletter modules; and a web application that provides a user interface. The database is a self-updating resource, with new information arriving once a week. The preliminary data are downloaded from the Protein Data Bank, processed, annotated, and completed. As of August 2021, ONQUADRO contains 1,661 tetrads, 518 quadruplexes, and 30 G4-helices found in 467 experimentally determined 3D structures of nucleic acids. Users can view and download their description: sequence, secondary structure (dot-bracket, classical diagram, arc diagram), tertiary structure (ball-and-stick, surface or vdw-ball model, layer diagram), planarity, twist, rise, chi angle (value and type), loop characteristics, strand directionality, metal ions, ONZ, and Webba da Silva classification (the latter by loop topology and tetrad combination), origin structure ID, assembly ID, experimental method, and molecule type. The database is freely available at https://onquadro.cs.put.poznan.pl/. It can be used on both desktop computers and mobile devices.
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Affiliation(s)
- Tomasz Zok
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Natalia Kraszewska
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Joanna Miskiewicz
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Paulina Pielacinska
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Michal Zurkowski
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
| | - Marta Szachniuk
- Institute of Computing Science, Poznan University of Technology, 60-965 Poznan, Poland
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland
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