Taxonomy Of Viruses Research Articles

Complete genome sequence of a novel totivirus isolated from the leaves of Myrica rubra.

Chinese bayberry is a fruit that is appreciated for its taste. A novel totivirus associated with rolling, disfiguring, chlorotic and vein-clearing symptoms on the leaf apices of Chinese bayberry was identified by transcriptome sequencing and reverse transcription PCR (RT-PCR). The complete genome of the virus was determined to be 4959 nucleotides long, and it contains two open reading frames (ORFs). Its genomic organization is similar to that of previously reported totiviruses. ORF1 encodes a putative coat protein (CP) of 765 aa, and ORF2 encodes an RNA-dependent RNA polymerase (RdRp) of 815 aa. These two putative proteins share 55.1% and 62.6%, amino acid sequence identity, respectively, with the corresponding proteins of Panax notoginseng virus A, respectively. According to the demarcation criteria for totivirus species established by the International Committee on Taxonomy of Viruses (ICTV), the new virus should be considered a member of a new species in the genus totivirus, family Orthototiviridae, which we have tentatively named ''Myrica rubra-associated totivirus'' (MRaTV).

The optimal metric for viral genome space

Understanding the structural similarity between genomes is pivotal in classification and phylogenetic analysis. As the number of known genomes rockets, alignment-free methods have gained considerable attention. Among these methods, the natural vector method stands out as it represents sequences as vectors using statistical moments, enabling effective clustering based on families in biological taxonomy. However, determining an optimal metric that combines different elements in natural vectors remains challenging due to the absence of a rigorous theoretical framework for weighting different k-mers and orders. In this study, we address this challenge by transforming the determination of optimal weights into an optimization problem and resolving it through gradient-based techniques. Our experimental results underscore the substantial improvement in classification accuracy achieved by employing these optimal weights, reaching an impressive 92.73% on the testing set, surpassing other alignment-free methods. On one hand, our method offers an outstanding metric for virus classification, and on the other hand, it provides valuable insights into feature integration within alignment-free methods.

ICTV Virus Taxonomy Profile: Nairoviridae 2024.

Nairoviridae is a family for negative-sense RNA viruses with genomes of about 17.2-21.1 kb. These viruses are maintained in and/or transmitted by arthropods among birds, reptiles and mammals. Norwaviruses and orthonairoviruses can cause febrile illness in humans. Several orthonairoviruses can infect mammals, causing mild, severe and sometimes, fatal diseases. Nairovirids produce enveloped virions containing two or three single-stranded RNA segments with open reading frames that encode a nucleoprotein (N), sometimes a glycoprotein precursor (GPC), and a large (L) protein containing an RNA-directed RNA polymerase (RdRP) domain. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) report on the family Nairoviridae, which is available at www.ictv.global/report/nairoviridae.

Prevalence and species diversity of dsRNA mycoviruses from Beauveria bassiana strains in the China's Guniujiang nature

We investigated the prevalence and species diversity of dsRNA mycoviruses in Beauveria bassiana isolates from the China's Guniujiang Nature Preserve. Among the 28 isolates analyzed, electropherotyping revealed viral infections in 28.6 % (8 out of 28) of the isolates. Metatranscriptomic identification and RT-PCR confirmed the presence of six putative virus species, including two novel species: Beauveria bassiana victorivirus 2 (BbV-2) and Beauveria bassiana bipartite mycovirus 2 (BbBV-2). Four previously characterized mycoviruses were also identified: Beauveria bassiana polymycovirus 4 (BbPmV4), Beauveria bassiana partitivirus 1 (BbPV-1), Beauveria bassiana bipartite mycovirus 1 (BbBV-1), and Beauveria bassiana chrysovirus 2 (BbCV-2). BbPmV4 was found to be the prevailing mycovirus among the infected isolates, and three isolates showed co-infection with both BbPmV4 and BbBV-2. This study enhances our understanding of fungal viral taxonomy and diversity, providing insights into mycovirus infections in B. bassiana populations in China's Guniujiang Nature Preserve. Furthermore, the study on the diversity of B. bassiana viruses lays the foundation for recognizing fungal viruses as potential enhancers of biocontrol agents.

Genomic and phylogenetic features of the Picobirnaviridae suggest microbial rather than animal hosts.

The RNA virus family Picobirnaviridae has traditionally been associated with the gastrointestinal systems of terrestrial mammals and birds, with the majority of viruses detected in animal stool samples. Metatranscriptomic studies of vertebrates, invertebrates, microbial communities, and environmental samples have resulted in an enormous expansion of the genomic and phylogenetic diversity of this family. Yet picobirnaviruses remain poorly classified, with only one genus and three species formally ratified by the International Committee of Virus Taxonomy. Additionally, an inability to culture picobirnaviruses in a laboratory setting or isolate them in animal tissue samples, combined with the presence of bacterial genetic motifs in their genomes, suggests that these viruses may represent RNA bacteriophage rather than being associated with animal infection. Utilising a data set of 2,286 picobirnaviruses sourced from mammals, birds, reptiles, fish, invertebrates, microbial communities, and environmental samples, we identified seven consistent phylogenetic clusters likely representing Picobirnavirus genera that we tentatively name 'Alpha-', 'Beta-', 'Gamma-', 'Delta-', 'Epsilon-', 'Zeta-', and 'Etapicobirnavirus'. A statistical analysis of topological congruence between virus-host phylogenies revealed more frequent cross-species transmission than any other RNA virus family. In addition, bacterial ribosomal binding site motifs were more enriched in Picobirnavirus genomes than in the two groups of established RNA bacteriophage-the Leviviricetes and Cystoviridae. Overall, our findings support the hypothesis that the Picobirnaviridae have bacterial hosts and provide a lower-level taxonomic classification for this highly diverse and ubiquitous family of RNA viruses.

ICTV Virus Taxonomy Profile: Fusariviridae 2024.

Fusariviridae is a family of mono-segmented, positive-sense RNA viruses with genome sizes of 5.9-10.7 kb. Most genomic RNAs are bicistronic, but exceptions have up to four predicted ORFs. In bicistronic genomes, the 5'-proximal ORF codes for a single protein with both RNA-directed RNA polymerase (RdRP) and RNA helicase (Hel) domains; little is known about the protein encoded by the second ORF. Fusarivirids do not appear to form virions. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Fusariviridae, which is available at ictv.global/report/fusariviridae.

ICTV Virus Taxonomy Profile: Hantaviridae 2024.

Hantaviridae is a family for negative-sense RNA viruses with genomes of about 10.5-14.6 kb. These viruses are maintained in and/or transmitted by fish, reptiles, and mammals. Several orthohantaviruses can infect humans, causing mild, severe, and sometimes-fatal diseases. Hantavirids produce enveloped virions containing three single-stranded RNA segments with open reading frames that encode a nucleoprotein (N), a glycoprotein precursor (GPC), and a large (L) protein containing an RNA-directed RNA polymerase (RdRP) domain. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Hantaviridae, which is available at ictv.global/report/hantaviridae.

Genome sequencing identifies “Limestone Canyon virus” as Montaño virus (Hantaviridae: Orthohantavirus montanoense) circulating in brush deermice in New Mexico

Orthohantaviruses infect distinct eulipotyphlan and rodent reservoirs throughout the world; some rodent orthohantaviruses can cause disease in humans. In the United States, a primary rodent reservoir for the human-pathogenic Sin Nombre virus (SNV) is the western deermouse (Peromyscus sonoriensis; formerly included in Peromyscus maniculatus). Deermice (rodents of genus Peromyscus) carry presumably distinct orthohantaviruses but, although deermice of ten species have been recorded in New Mexico, only SNV has been reported in rodents from that state. Using a set of pan-orthohantavirus primers, we discovered a non-SNV orthohantavirus in a brush deermouse (P. boylii), trapped in central New Mexico in 2019. Sequencing enabled the generation of a consensus coding-complete genome sequence, revealing similarity to the known partial sequences of the unclassified “Limestone Canyon virus (LSCV)” in GenBank and aligning with the information in an unpublished study of wild-caught brush deermice trapped in southwestern New Mexico in 2006. Phylogenetic analysis of these combined data revealed geospatial clades and overall identity of “LSCV”, uncovering its association with the classified Montaño virus (MTNV), which is known to infect Aztec and Orizaba deermice in central Mexico. Our work emphasizes the importance of determining coding-complete viral genome sequences as a framework for rigorous virus classification as the basis for epidemiological studies.

Viral metagenomic analysis reveals diverse viruses and a novel bocaparvovirus in the enteric virome of snow leopard (Panthera uncia)

The enteric virome, comprising a complex community of viruses inhabiting the gastrointestinal tract, plays a significant role in health and disease dynamics. In this study, the fecal sample of a wild snow leopard was subjected to viral metagenomic analysis using a double barcode Illumina MiSeq platform. The resulting reads were de novo assembled into contigs with SOAPdenovo2 version r240. Additional bioinformatic analysis of the assembled genome and genome annotation was done using the Geneious prime software (version 2022.0.2). Following viral metagenomic analysis and bioinformatic analysis, a total of 7 viral families and a novel specie of bocaparvovirus tentatively named Panthera uncia bocaparvovirus (PuBOV) with GenBank accession number OQ627713 were identified. The complete genome of PuBOV was predicted to contain 3 open reading frames (ORFs), contains 5433 nucleotides and has a G + C content of 47.40 %. BLASTx analysis and pairwise sequence comparison indicated the novel virus genome was a new species in the genus Bocaparvovirus based on the species demarcation criteria of the International Committee on the Taxonomy of Viruses. This study provides valuable insights into the diversity and composition of the enteric virome in wild endangered snow leopards. The identification and characterization of viruses in wildlife is crucial for developing effective strategies to manage and mitigate potential zoonotic and other viral disease threats to human and animal health.

Covid-19’s rampage in the human body

The Covid-19 (or Coronavirus Disease-19) was first detected in Wuhan, in the Hubei Province of China. Its causative agent got named as SARS-CoV-2 (or Severe Acute Respiratory Syndrome Coronavirus- 2) in 11 February, 2020 by the International Committee on Taxonomy of Viruses (ICTV). This virus is observed to infect the respiratory system in most patients. In this review, the aim was to discuss the potential of SARS-CoV-2 of affecting almost all the major organ systems of the body and to highlight the importance of interaction between spike glycoprotein of the virus and ACE2 receptor on a host cell. An analysis was made on the gfindings of the different kinds of manifestations of Covid-19 and 42 resources, including: scientific articles and websites, were used for writing this review. The resources were searched on the internet based on a set of keywords. In this review, first the pathophysiology and manifestations of the virus, based on target organ, are discussed. Later, the underlying mechanisms of infection for these organs are compared and a conclusion is drawn. Finally, few of the research works in progress were listed, which help highlight the importance of spike-ACE2 interactions. The result found was that: SARS-CoV-2 is capable of severely affecting: Central nervous system, Respiratory System, Skin, Eyes, Excretory system, Gastrointestinal system, Liver, Circulatory system and Reproductive system. The common mechanism of cellular entry of the virus has been observed to be: Interaction between spike glycoprotein with the ACE-2 receptor. While, many groups are currently conducting research based on this topic, hardly a hand few drugs have been approved for use. Thus, the conclusion is that: research should be focused on developing an approved, potent drug or therapy to inhibit the spike glycoprotein-ACE2 receptor interaction in order to tackle the raging pandemic.

Viruses and Bacteria – Antiviral and Antibacterial Textile Materials: A Review

Protective textiles, such as antiviral and antimicrobial textiles, are essential for daily human health during pandemics. This paper focused on different studies of bacteria, the classification of viruses and features, different antibacterial and antiviral agents, and the manufacture of antibacterial and antiviral textiles and masks. This review primarily considered the representative specifications of ideal antiviral agents compatible with antimicrobial textile purposes.

Genomic and Phenotypic Analysis of Salmonella enterica Bacteriophages Identifies Two Novel Phage Species.

Bacteriophages (phages) are potential alternatives to chemical antimicrobials against pathogens of public health significance. Understanding the diversity and host specificity of phages is important for developing effective phage biocontrol approaches. Here, we assessed the host range, morphology, and genetic diversity of eight Salmonella enterica phages isolated from a wastewater treatment plant. The host range analysis revealed that six out of eight phages lysed more than 81% of the 43 Salmonella enterica isolates tested. The genomic sequences of all phages were determined. Whole-genome sequencing (WGS) data revealed that phage genome sizes ranged from 41 to 114 kb, with GC contents between 39.9 and 50.0%. Two of the phages SB13 and SB28 represent new species, Epseptimavirus SB13 and genera Macdonaldcampvirus, respectively, as designated by the International Committee for the Taxonomy of Viruses (ICTV) using genome-based taxonomic classification. One phage (SB18) belonged to the Myoviridae morphotype while the remaining phages belonged to the Siphoviridae morphotype. The gene content analyses showed that none of the phages possessed virulence, toxin, antibiotic resistance, type I-VI toxin-antitoxin modules, or lysogeny genes. Three (SB3, SB15, and SB18) out of the eight phages possessed tailspike proteins. Whole-genome-based phylogeny of the eight phages with their 113 homologs revealed three clusters A, B, and C and seven subclusters (A1, A2, A3, B1, B2, C1, and C2). While cluster C1 phages were predominantly isolated from animal sources, cluster B contained phages from both wastewater and animal sources. The broad host range of these phages highlights their potential use for controlling the presence of S. enterica in foods.

Potential of Viruses as Environmental Etiological Factors for Non-Syndromic Orofacial Clefts.

In this study, we analyzed the potential of viral infections in the species Homo sapiens as environmental causes of orofacial clefts (OFCs). A scoring system was adapted for qualitatively assessing the potential of viruses to cause cleft lip and/or palate (CL/P). This assessment considered factors such as information from the literature, nucleotide and amino acid similarities, and the presence of Endogenous Viral Elements (EVEs). The analysis involved various algorithm packages within Basic Local Alignment Search Tool 2.13.0 software and databases from the National Center for Biotechnology Information and the International Committee on Taxonomy of Viruses. Twenty significant viral species using different biosynthesis strategies were identified: Human coronavirus NL63, Rio Negro virus, Alphatorquevirus homin9, Brisavirus, Cosavirus B, Torque teno mini virus 4, Bocaparvovirus primate2, Human coronavirus HKU1, Monkeypox virus, Mammarenavirus machupoense, Volepox virus, Souris mammarenavirus, Gammapapillomavirus 7, Betainfluenzavirus influenzae, Lymphocytic choriomeningitis mammarenavirus, Ledantevirus kern, Gammainfluenzavirus influenzae, Betapolyomavirus hominis, Vesiculovirus perinet, and Cytomegalovirus humanbeta5. The evident viral etiological potential in relation to CL/P varies depending on the Baltimore class to which the viral species belongs. Given the multifactorial nature of CL/P, this relationship appears to be dynamic.

Compendium: Management of Viral Hemorrhagic Fever (Viral Fever), Involving Its Pathogenesis

The term "Viral Hemorrhagic Fever" (VHF) describes a severe feverish sickness characterized by aberrant vascular control, vascular damage, and hemorrhagic symptoms. Multiple viruses belonging to distinct families are the cause of this illness. The viruses that cause VHF are categorized into seven distinct families according to the International Committee on Taxonomy of Viruses' most recent classification: Hantaviridae, Nairoviridae, Filoviridae, Phenuiviridae, Paramyxoviridae, Arenavidae, and Flaviviridae are the families involved. The concept of virus hemorrhagic fevers (VHFs) originated in the 1930s when Soviet researchers were studying hantaviral hemorrhagic fever (HF) with renal dysfunction. Dengue fever/Dengue haemorrhagic fever and Kyasanur forest sickness are the two most common viral hemorrhagic fevers (VHF) in India that are transmitted by arthropod vectors. The diagnosis of community-acquired pneumonia (CCHF) in India is greatly hampered by the co-occurring symptoms of hemorrhagic fevers such as dengue, Kyasanur forest sickness, Hantavirus hemorrhagic fever, and other illnesses such as leptospirosis, meningococcal infections, and malaria. The pathophysiology, aetiology, diagnosis, treatment, symptoms, and indicators of virus hemorrhagic fevers (VHFs) are all covered in this review article.

Implementation of C5.0 Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease

Hepatitis C, a significant global health challenge, affects 71 million people worldwide, with severe complications such as cirrhosis and hepatocellular carcinoma. Despite its prevalence and availability in rapid diagnostic tests (RDTs), the need for accurate early detection methods remains critical. This research aims to enhance hepatitis C virus classification accuracy by integrating the C5.0 algorithm with Chi-Square feature selection, addressing the limitations of current diagnostic approaches and potentially reducing diagnostic errors. This research explores the development of a machine learning model for hepatitis C prediction, utilizing a publicly available dataset from Kaggle. It encompasses preprocessing techniques such as label encoding, handling missing values, normalization, feature selection, model development, and evaluation to ensure the model's efficacy and accuracy in diagnosing hepatitis C. The findings of this study reveal that implementing Chi-Square feature selection significantly enhances the effectiveness of machine learning algorithms. Specifically, the combination of the C5.0 algorithm and Chi-Square feature selection yielded a remarkable accuracy of 96.75%, surpassing previous research benchmarks. This highlights the potent synergy between advanced feature selection techniques and machine learning algorithms in improving diagnostic precision. The study conclusively demonstrates that machine learning is an effective tool for detecting hepatitis C, showcasing the potential to enhance diagnostic accuracy significantly. As a future recommendation, adopting AutoML is suggested to periodically automate the selection of the optimal algorithm, promising further improvements in detection capabilities.

Automated classification of giant virus genomes using a random forest model built on trademark protein families

Viruses of the phylum Nucleocytoviricota, often referred to as “giant viruses,” are prevalent in various environments around the globe and play significant roles in shaping eukaryotic diversity and activities in global ecosystems. Given the extensive phylogenetic diversity within this viral group and the highly complex composition of their genomes, taxonomic classification of giant viruses, particularly incomplete metagenome-assembled genomes (MAGs) can present a considerable challenge. Here we developed TIGTOG (Taxonomic Information of Giant viruses using Trademark Orthologous Groups), a machine learning-based approach to predict the taxonomic classification of novel giant virus MAGs based on profiles of protein family content. We applied a random forest algorithm to a training set of 1531 quality-checked, phylogenetically diverse Nucleocytoviricota genomes using pre-selected sets of giant virus orthologous groups (GVOGs). The classification models were predictive of viral taxonomic assignments with a cross-validation accuracy of 99.6% at the order level and 97.3% at the family level. We found that no individual GVOGs or genome features significantly influenced the algorithm’s performance or the models’ predictions, indicating that classification predictions were based on a comprehensive genomic signature, which reduced the necessity of a fixed set of marker genes for taxonomic assigning purposes. Our classification models were validated with an independent test set of 823 giant virus genomes with varied genomic completeness and taxonomy and demonstrated an accuracy of 98.6% and 95.9% at the order and family level, respectively. Our results indicate that protein family profiles can be used to accurately classify large DNA viruses at different taxonomic levels and provide a fast and accurate method for the classification of giant viruses. This approach could easily be adapted to other viral groups.

Forty-nine metagenomic-assembled genomes from an aquatic virome expand Caudoviricetes by 45 potential new families and the newly uncovered Gossevirus of Bamfordvirae.

Twenty complete genomes (29-63 kb) and 29 genomes with an estimated completeness of over 90 % (30-90 kb) were identified for novel dsDNA viruses in the Yangshan Harbor metavirome. These newly discovered viruses contribute to the expansion of viral taxonomy by introducing 46 potential new families. Except for one virus, all others belong to the class Caudoviricetes. The exception is a novel member of the recently characterized viral group known as Gossevirus. Fifteen viruses were predicted to be temperate. The predicted hosts for the viruses appear to be involved in various aspects of the nitrogen cycle, including nitrogen fixation, oxidation and denitrification. Two viruses were identified to have a host of Flavobacterium and Tepidimonas fonticaldi, respectively, by matching CRISPR spacers with viral protospacers. Our findings provide an overview for characterizing and identifying specific viruses from Yangshan Harbor. The Gossevirus-like virus uncovered emphasizes the need for further comprehensive isolation and investigation of polinton-like viruses.

Diagnosis, isolation and description of a novel amnoonvirus recovered from diseased fancy guppies, Poecilia reticulata.

The guppy, Poecilia reticulata, is one of the most common cultured ornamental fish species, and a popular pet fish highly desired by hobbyists worldwide due to its availability of many brilliantly coloured fish of many varieties. The susceptibility of guppies to diseases presents a remarkable concern for both breeders and hobbyists. In this study, we report the emergence of disease in fancy guppies caused by a previously uncharacterized virus in the USA. This virus was isolated from moribund guppies in two separate outbreaks in California and Alabama, from December 2021 to June 2023. The infected guppies presented with acute morbidity and mortality shortly after shipping, displaying nonspecific clinical signs and gross changes including lethargy, anorexia, swimming at the water surface, gill pallor, mild to moderate coelomic distension and occasional skin lesions including protruding scales, skin ulcers and hyperaemia. Histological changes in affected fish were mild and nonspecific; however, liver and testes from moribund fish were positive for Tilapia lake virus (TiLV), the single described member in the family Amnoonviridae, using immunohistochemistry and insitu hybridization, although the latter was weak. A virus was successfully recovered following tissue inoculation on epithelioma papulosum cyprini and snakehead fish cell lines. Whole genome sequencing and phylogenetic analyses revealed nucleotide and amino acid homologies from 78.3%-91.2%, and 78.2%-97.7%, respectively, when comparing the guppy virus genomes to TiLV isolates. Based on the criteria outlined herein, we propose the classification of this new virus, fancy tailed guppy virus (FTGV), as a member of the family Amnoonviridae, with the name Tilapinevirus poikilos (from the Greek 'poikilos', meaning of many colours; various sorts, akin to 'poecilia').

ICTV Virus Taxonomy Profile: Kolmioviridae 2024.

Kolmioviridae is a family for negative-sense RNA viruses with circular, viroid-like genomes of about 1.5-1.7 kb that are maintained in mammals, amphibians, birds, fish, insects and reptiles. Deltaviruses, for instance, can cause severe hepatitis in humans. Kolmiovirids encode delta antigen (DAg) and replicate using host-cell DNA-directed RNA polymerase II and ribozymes encoded in their genome and antigenome. They require evolutionary unrelated helper viruses to provide envelopes and incorporate helper virus proteins for infectious particle formation. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Kolmioviridae, which is available at ictv.global/report/kolmioviridae.

WORM-VIRUS DETECTION METHOD ACCORDING TO MULTI-CLASS CLASSIFICATION

The work presents the results of research on worm viruses and methods of their detection. Malware distribution happens all the time. The analyzed modern tools and systems for prevention, detection and countermeasures against malicious software and computer attacks are quite effective, provide a high percentage of detection and function at an adequate level. But criminals constantly study the capabilities of such tools and systems, improve malicious software and computer attacks, and achieve certain results. Therefore, developers of tools and systems for prevention, detection and countermeasures against malicious software and computer attacks must constantly improve them. The protection of corporate networks is relevant. They can be effectively configured to increase computing resources when solving the tasks of warning, detecting and countering malicious software and computer attacks to protect corporate networks. Therefore, the article defines as an urgent scientific task - the development of methods to improve the efficiency of the functioning of distributed systems with partial centralization for detection of malicious software and computer attacks in computer networks and detection of malicious software with their use due to the synthesis of their architecture in such a way that the principles of functioning of such systems make it difficult for criminals to understand them. The work considers a set of worm viruses, which covers network features as much as possible. Therefore, to study the effectiveness of methods of creating distributed systems and the systems themselves based on them, worm viruses were considered. The purpose of the work is to develop a method for detecting worm viruses in corporate networks. The work developed a method of detecting worm viruses using their division into classes based on common features and defined criteria according to the classification of objects according to many classes and taking into account its implementation in the architecture of partially centralized distributed systems to obtain a complete sensor and make a decision regarding the classification of worms virus to a certain class. This improved the reliability of detection by 8-11% compared to using the method without directly involving the elements and components of the system. As a result of setting up experiments and conducting them, results were obtained that confirm the correct functioning of a partially centralized distributed system for the detection of worm viruses.