Taxonomy Of Viruses Research Articles

Diversity of RNA viruses of three dominant tick species in North China.

A wide range of bacterial pathogens have been identified in ticks, yet the diversity of viruses in ticks is largely unexplored. Here, we used metagenomic sequencing to characterize the diverse viromes in three principal tick species associated with pathogens, Haemaphysalis concinna, Dermacentor silvarum, and Ixodes persulcatus, in North China. A total of 28 RNA viruses were identified and belonged to more than 12 viral families, including single-stranded positive-sense RNA viruses (Flaviviridae, Picornaviridae, Luteoviridae, Solemoviridae, and Tetraviridae), negative-sense RNA viruses (Mononegavirales, Bunyavirales, and others) and double-stranded RNA viruses (Totiviridae and Partitiviridae). Of these, Dermacentor pestivirus-likevirus, Chimay-like rhabdovirus, taiga tick nigecruvirus, and Mukawa virus are presented as novel viral species, while Nuomin virus, Scapularis ixovirus, Sara tick-borne phlebovirus, Tacheng uukuvirus, and Beiji orthonairovirus had been established as human pathogens with undetermined natural circulation and pathogenicity. Other viruses include Norway mononegavirus 1, Jilin partitivirus, tick-borne tetravirus, Pico-like virus, Luteo-like virus 2, Luteo-likevirus 3, Vovk virus, Levivirus, Toti-like virus, and Solemo-like virus as well as others with unknown pathogenicity to humans and wild animals. In conclusion, extensive virus diversity frequently occurs in Mononegavirales and Bunyavirales among the three tick species. Comparatively, I. persulcatus ticks had been demonstrated as such a kind of host with a significantly higher diversity of viral species than those of H. concinna and D. silvarum ticks. Our analysis supported that ticks are reservoirs for a wide range of viruses and suggested that the discovery and characterization of tick-borne viruses would have implications for viral taxonomy and provide insights into tick-transmitted viral zoonotic diseases.

An appraisal of gene targets for phylogenetic classification of canine distemper virus: Is the hemagglutinin the best candidate?

Sequence analysis of the canine distemper virus (CDV) hemagglutinin (H) gene may provide important insights on virus-host interactions and has also been frequently used for CDV phylogenetic classification. Herein, we performed an in silico analysis of CDV complete genomes (CGs) available in GenBank in order to investigate the suitability of H for CDV classification into lineages/genotypes. In addition, we analyzed the other viral genes for their potential use in CDV classification. Initially, we collected 116 CDV CGs from GenBank and compared their phylogenetic classification with that of their respective H nucleotide (nt) and amino acid (aa) sequences. Subsequently, we calculated the geodesic distance between the CG and H phylogenetic trees. These analyses were later performed with other CDV genes. All CDV CGs were also evaluated for possible recombination events. Nucleotide and aa analyses of H misclassified some Vaccine/America 1/Asia 3 lineage sequences compared to CG analysis, finding supported by both Maximum Likelihood (ML) and Bayesian Markov Chain Monte Carlo (B-MCMC) methods. Moreover, aa-based H analysis showed additional disagreements with the classification obtained by CG. The geodesic distance between the H and CG trees was 0.0680. Strong recombination signals were identified in the H gene, including Vaccine/America 1/Asia 3 lineage sequences. In contrast, C and P were the only genes that fully reproduced the CG classification (by ML and/or B-MCMC) and that did not show strong recombination signals. Furthermore, the P phylogenetic tree showed the lowest geodesic distance from the CG tree (0.0369). These findings suggest C and P as potential targets for CDV phylogenetic classification, especially when full genome sequencing is not possible. Finally, since our results were obtained considering the CDV CGs available to date, future analyses performed as more CDV sequences become available will be useful to assess probable issues of H-based phylogeny and to consolidate the suitability of the C and P genes for CDV classification.

Generating Minimal Models of H1N1 NS1 Gene Sequences Using Alignment-Based and Alignment-Free Algorithms.

For virus classification and tracing, one idea is to generate minimal models from the gene sequences of each virus group for comparative analysis within and between classes, as well as classification and tracing of new sequences. The starting point of defining a minimal model for a group of gene sequences is to find their longest common sequence (LCS), but this is a non-deterministic polynomial-time hard (NP-hard) problem. Therefore, we applied some heuristic approaches of finding LCS, as well as some of the newer methods of treating gene sequences, including multiple sequence alignment (MSA) and k-mer natural vector (NV) encoding. To evaluate our algorithms, a five-fold cross validation classification scheme on a dataset of H1N1 virus non-structural protein 1 (NS1) gene was analyzed. The results indicate that the MSA-based algorithm has the best performance measured by classification accuracy, while the NV-based algorithm exhibits advantages in the time complexity of generating minimal models.

Approaching grief during the pandemic by COVID-19

At the end of December 2019, the outbreak of coronavirus disease 19 (COVID-19) emerged in the city of Wuhan, China, due to the rapid spread of the disease, in March 2020 a pandemic was declared by the World Health Organization and the International Committee on Taxonomy of Viruses. As the COVID-19 disease ravages the world, a high rate of infection and mortality has been evidenced in a short time. To reduce the spread of COVID-19, governments have introduced prevention policies, such as lockdowns and social distancing, among others. This resulted in potential psychosocial changes that affected many aspects of daily life, including how to die and cope with the death of a loved one, with limited opportunities to shape funeral rituals and difficulty receiving support. Social. A large number of people who died alone due to these policies, in turn the relatives experienced situations of impotence and frustration, since they were limited in the care of their loved one, in visits to the hospital and even could not say goodbye. The objective of this article is to provide various strategies compiled in documents that help to deal with grief in people who had the loss of a loved one in times of pandemic, among which communication and psychological and social support stand out.

Use of an Integrated Approach Involving AlphaFold Predictions for the Evolutionary Taxonomy of Duplodnaviria Viruses.

The evaluation of the evolutionary relationships is exceptionally important for the taxonomy of viruses, which is a rapidly expanding area of research. The classification of viral groups belonging to the realm Duplodnaviria, which include tailed bacteriophages, head-tailed archaeal viruses and herpesviruses, has undergone many changes in recent years and continues to improve. One of the challenging tasks of Duplodnaviria taxonomy is the classification of high-ranked taxa, including families and orders. At the moment, only 17 of 50 families have been assigned to orders. The evaluation of the evolutionary relationships between viruses is complicated by the high level of divergence of viral proteins. However, the development of structure prediction algorithms, including the award-winning AlphaFold, encourages the use of the results of structural predictions to clarify the evolutionary history of viral proteins. In this study, the evolutionary relationships of two conserved viral proteins, the major capsid protein and terminase, representing different viruses, including all classified Duplodnaviria families, have been analysed using AlphaFold modelling. This analysis has been undertaken using structural comparisons and different phylogenetic methods. The results of the analyses mainly indicated the high quality of AlphaFold modelling and the possibility of using the AlphaFold predictions, together with other methods, for the reconstruction of the evolutionary relationships between distant viral groups. Based on the results of this integrated approach, assumptions have been made about refining the taxonomic classification of bacterial and archaeal Duplodnaviria groups, and problems relating to the taxonomic classification of Duplodnaviria have been discussed.

Identification of novel genera and subcluster classifications for mycobacteriophages.

Aim: To identify novel genera amongst mycobacteriophages (MP) and verify a hypothesised correlation between the taxonomy set by the International Committee on Taxonomy of Viruses (ICTV) and the National Centre for Biotechnology Information (NCBI) with that of the Actinobacteriophage Database, which may help formalise subcluster assignment. Methods: A dataset of 721 MP genomes was analysed using VIRIDIC, a nucleotide alignment-based software that predicts genus assignments. Potentially novel genera were analysed using Gegenees and VICTOR, respectively. These genera were then compared to the subclusters assigned by the Actinobacteriophage Database to verify a hypothesis that one genus can be assigned to one subcluster (i.e., the genus-subcluster hypothesis). Results: Initially, when comparing the current genus classifications of the 721 MP dataset to the Actinobacteriophage database subcluster assignments, 83.3% of subclusters supported the genus-subcluster hypothesis. Following the sequential VIRIDIC, Gegenees and VICTOR analyses, a total of 20 novel genera were identified based on a ≥ 70% and ~ 50% similarity threshold for VIRIDIC and Gegenees, respectively, and a monophyletic nature in the VICTOR output. Interestingly, these criteria also appear to support the creation of 13 novel subclusters, which would increase the support for the genus-subcluster hypothesis to 97.6%. Conclusion: The link between genus and subcluster classifications appears robust, as most subclusters can be assigned a single genus and vice versa. By relating the taxonomic and clustering classification systems, they can be easily kept up to date to best reflect MP diversity, which could aid the rapid selection of related (or diverse) phages for research, therapeutic and diagnostic purposes.

Host-Associated Distribution of Two Novel Mammarenaviruses in Rodents from Southern Africa.

Mammarenaviruses are hosted by several rodent species, a small number of which have been known to be zoonotic. Host surveillance among small mammals has identified a large diversity of previously undescribed mammarenaviruses. Intensified biosurveillance is warranted to better understand the diversity of these agents. Longitudinal host surveillance involving non-volant small mammals at a site in the Limpopo province, South Africa, was conducted. The study reports on the screening results of 563 samples for the presence of mammarenavirus RNA. PCR-positive samples were subjected to sequencing using Miseq amplicon sequencing. Sequences with close similarity to Mariental and Lunk viruses were identified from two rodent species, Micaelamys namaquensis and Mus minutoides. This represents the first description of these viruses from South Africa. The genomic sequences reported here partially satisfied the requirements put forward by the International Committee on the Taxonomy of Viruses' criteria for species delineation, suggesting that these may be new strains of existing species. The known distribution of these mammarenaviruses is thus expanded further south in Africa.

Identification of Adeno-associated Virus in Muscovy Ducks with Chronic Diarrhea

Adeno-associated viruses (AAVs) are defective members of the genus Dependoparvovirus. Waterfowl parvoviruses, another member of the Dependoparvovirus, were found to be the closest relative of AAVs. This study was performed to identify the genetic changes that may occur to goose parvovirus (GPV) in one Muscovy duck flock that was observed for 12 weeks after the virus was isolated. Persistent watery diarrhea and wing deformity were the common signs. Cloacal swabs were collected from diseased ducks. Unexpectedly, the identified virus was an AAV. The closest strains were duck AAVs at the nucleotide level, identified in Australia and China. Meanwhile, only 52.3% of nucleotide identity was shared with the GPV strain, previously identified from this flock. Duck adenovirus (DAdV) could not be identified in the samples. This study is one of the first studies in which genetic changes of GPV were tracked. In addition, emerging duck AAV from GPV is suggested, which will be useful for future virus classification. Keywords: Adeno-associated virus, Chronic diarrhea, Muscovy ducks

Isolation, Characterization, and Comparative Genomic Analysis of vB_Pd_C23, a Novel Bacteriophage of Pantoea dispersa

Pantoea bacteria species cause human animal infections, and contribute to soil and aquatic environmental pollution. A novel bacteriophage, vB_Pd_C23 was isolated from a Tunisian wastewater system and represents the first new phage infecting P. dispersa. Lysis kinetics, electron microscopy, and genomic analyses revealed that the vB_Pd_C23 phage has a head diameter of 50nm and contractile tail dimensions of 100nm by 23nm; vB_Pd_C23 has a linear double-stranded DNA genome consisting of 44,714-bp and 49.66% GC-content. Predicted functions were assigned to 75 open reading frames (ORFs) encoding proteins and one tRNA, the annotation revealed that 21 ORFs encode for unique proteins of yet unknown function with no reliable homologies. This indicates that the new species vB_Pd_C23 exhibits novel viral genes. Phylogenetic analysis along with comparative analyses generating nucleotide identity and similarity of vB_Pd_C23 whole genome suggests that the phage is a candidate for a new genus within the Caudoviricetes Class. The characteristics of this phage could not be attributed to any previous genera recognized by the International Committee on Taxonomy of Viruses (ICTV).

Taxonomic Changes for Human Viruses, 2020 to 2022.

The classification of viruses remains relevant to several disciplines, including clinical virology. Since the original publication of this review in 2019, many known viruses have undergone taxonomic revisions, and several novel human and animal viruses have been described. Here, we provide an update to our previous reviews of taxonomic changes for disease-causing viruses of humans, covering changes that occurred between 2020 and 2022. As with previous editions, this update was informed by recent advances in virus taxonomy made by the International Committee on Taxonomy of Viruses; the changes and additions noted herein are not all-inclusive.

ICTV Virus Taxonomy Profile: Secoviridae 2022.

Members of the family Secoviridae are non-enveloped plant viruses with mono- or bipartite linear positive-sense ssRNA genomes with a combined genome of 9 to 13.7 kb and icosahedral particles 25-30 nm in diameter. They are related to picornaviruses and are members of the order Picornavirales. Genera in the family are distinguished by the host range, vector, genomic features and phylogeny of the member viruses. Most members infect dicotyledonous plants, and many cause serious disease epidemics. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) report on the family Secoviridae, which is available at ictv.global/report/secoviridae.

ICTV Virus Taxonomy Profile: Matonaviridae 2022.

The family Matonaviridae comprises enveloped viruses with positive-sense RNA genomes of 9.6-10 kb. The genus Rubivirus includes rubella virus (species Rubivirus rubellae) infecting humans, ruhugu virus (species Rubivirus ruteetense) infecting bats and rustrela virus (species Rubivirus strelense) infecting rodents and zoo animals. Rubella virus is spread via droplets. Postnatal infection leads to benign disease with rash and fever. Infection of seronegative women with rubella virus during the first trimester of pregnancy will often result in severe foetal malformations, known as congenital rubella syndrome. Vaccines are globally available. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Matonaviridae, which is available at ictv.global/report/matonaviridae.

Guidance for creating individual and batch latinized binomial virus species names.

The International Committee on Taxonomy of Viruses recently adopted, and is gradually implementing, a binomial naming format for virus species. Although full Latinization of these names remains optional, a standardized nomenclature based on Latinized binomials has the advantage of comparability with all other biological taxonomies. As a language without living native speakers, Latin is more culturally neutral than many contemporary languages, and words built from Latin roots are already widely used in the language of science across the world. Conversion of established species names to Latinized binomials or creation of Latinized binomials de novo may seem daunting, but the rules for name creation are straightforward and can be implemented in a formulaic manner. Here, we describe approaches, strategies and steps for creating Latinized binomials for virus species without prior knowledge of Latin. We also discuss a novel approach to the automated generation of large batches of novel genus and species names. Importantly, conversion to a binomial format does not affect virus names, many of which are created from local languages.

Development of RP-HPLC methods for the analysis of Dexamethasone and Levofloxacin alone and in combinations used in the therapy of Covid-19

In December 2019, the World Health Organization was informed of an outbreak of pneumonia of unknown etiology in Wuhan, Hubei Province, China. On January 7, 2020, a new type of coronavirus was isolated, with the WHO later officially calling it “COVID-19” and the International Committee on Taxonomy of Viruses naming the virus “SARS-CoV-2”. On January 30, 2020, the WHO declared the severe acute respiratory syndrome coronavirus 2 outbreak a public health emergency of international concern, making it an unprecedented global public health challenge. From a scientific and literary reference, it was established that the main drugs in the therapy with Covid-19 are Dexamethasone and Levofluoxetine. For this reason, we pay attention to the analysis of these two medicinal products. In the literature, we did not find an analysis of a combination of Dexamethasone and Levofloxacin. Development and validation of a highperformance liquid chromatographic analytical procedure for simultaneously determining Dexamethasone and Levofloxacin in a synthetic mixture is described in this paper. The separation was made with a LiChrosorb RP 18 (250 × 4.6 mm) column, at 25 °C temperature,with isocratic mode andmobile phase,containingt acetonitrile and woter (70-30v/v). Eluent was monitored at 254 nm and the flow rate was 1.0 ml/min. Dexamethasone and Levofluoxetine were effectively separated with retention time (tr) of 4.69 min and 14.51 min,respectively,with in the selected chromatographic conditions.The method was validated for analytical parameters: specificity, linearity, precision, accuracy,andlimits of detection and quantitation. The calibration curves were linear inthe concentration range of 12.5 to 100.0 μg/ml for Dexamethasone and Levofloxacin, and the regression coefficientswere more than 0.999. For Dexamethasone and Levofloxacin the recovery was 100.01% and 100.04%, respectively. This analytical procedure is applicable for the quality control of drug formulations.

Phage family classification under Caudoviricetes: A review of current tools using the latest ICTV classification framework.

Bacteriophages, which are viruses infecting bacteria, are the most ubiquitous and diverse entities in the biosphere. There is accumulating evidence revealing their important roles in shaping the structure of various microbiomes. Thanks to (viral) metagenomic sequencing, a large number of new bacteriophages have been discovered. However, lacking a standard and automatic virus classification pipeline, the taxonomic characterization of new viruses seriously lag behind the sequencing efforts. In particular, according to the latest version of ICTV, several large phage families in the previous classification system are removed. Therefore, a comprehensive review and comparison of taxonomic classification tools under the new standard are needed to establish the state-of-the-art. In this work, we retrained and tested four recently published tools on newly labeled databases. We demonstrated their utilities and tested them on multiple datasets, including the RefSeq, short contigs, simulated metagenomic datasets, and low-similarity datasets. This study provides a comprehensive review of phage family classification in different scenarios and a practical guidance for choosing appropriate taxonomic classification pipelines. To our best knowledge, this is the first review conducted under the new ICTV classification framework. The results show that the new family classification framework overall leads to better conserved groups and thus makes family-level classification more feasible.

Isolation, characterization and genome analysis of an orphan phage FoX4 of the new Foxquatrovirus genus

The growing interest in the therapeutic application of bacteriophages leads to a drastic increase in the number of sequenced genomes. Luckily, recent insights in phage taxonomy facilitate the classification of phages in a comprehensive and data-driven manner as recently proposed by the International Committee on Taxonomy of Viruses. In this research, we present the taxonomical classification of a novel, narrow host range Xanthomonas phage FoX4, isolated from a Brussels sprouts field in Belgium infested with Xanthomonas campestris pv. campestris. The phage has a limited ability to lyse a bacterial culture, yet adsorbs efficiently to its host. Based on its genome sequence and low similarity to previously described phages, the phage comprises the novel phage genus Foxquatrovirus.

SARS-CoV-2 virus classification based on stacked sparse autoencoder

Since December 2019, the world has been intensely affected by the COVID-19 pandemic, caused by the SARS-CoV-2. In the case of a novel virus identification, the early elucidation of taxonomic classification and origin of the virus genomic sequence is essential for strategic planning, containment, and treatments. Deep learning techniques have been successfully used in many viral classification problems associated with viral infection diagnosis, metagenomics, phylogenetics, and analysis. Considering that motivation, the authors proposed an efficient viral genome classifier for the SARS-CoV-2 using the deep neural network based on the stacked sparse autoencoder (SSAE). For the best performance of the model, we explored the utilization of image representations of the complete genome sequences as the SSAE input to provide a classification of the SARS-CoV-2. For that, a dataset based on k-mers image representation was applied. We performed four experiments to provide different levels of taxonomic classification of the SARS-CoV-2. The SSAE technique provided great performance results in all experiments, achieving classification accuracy between 92% and 100% for the validation set and between 98.9% and 100% when the SARS-CoV-2 samples were applied for the test set. In this work, samples of the SARS-CoV-2 were not used during the training process, only during subsequent tests, in which the model was able to infer the correct classification of the samples in the vast majority of cases. This indicates that our model can be adapted to classify other emerging viruses. Finally, the results indicated the applicability of this deep learning technique in genome classification problems.

New Insights into Lymphocystis Disease Virus Genome Diversity.

Lymphocystis disease viruses (LCDVs) are viruses that infect bony fish which has been found in different locations across the globe. Four virus species have been classified by the International Committee on Taxonomy of Viruses (ICTV), despite remarkable discrepancies in genome size. Whole genome sequencing and phylogenetic analysis of LCDVs from wild fish from the North Sea and partial sequences from gilthead sea bream of an aquafarm located in the Aegean Sea in Turkey confirm that the LCDV1 genome at 100 kb is approximately half the size of the genomes of LCDV2-4. Since the fish species, of which LCDV1 was isolated, differ taxonomically at the order level, co-speciation can be excluded as the driver of the adaptation of the genome of this nucleocytoplasmic large DNA virus, but may represent an adaptation to the lifestyle of this demersal fish in the northeast Atlantic.

The cosmopolitan gut virus crAssphage

CrAss-like phages are a diverse group of mostly uncultured bacterial viruses that are highly abundant in the mammalian gut and other habitats. First identified in metagenomic sequences from human faeces in 2014, crAss-like phages were predicted to infect members of the phylum Bacteroidetes. Later work resulted in the isolation of the first cultured representatives, the confirmation of a Podoviridae-like morphology and a proposal to classify uncultured crAss-like phages under a novel taxonomic group. The International Committee on Taxonomy of Viruses (ICTV) has recently acknowledged the creations of a new order Crassvirales, comprising at the moment four new families, ten new subfamilies, 42 new genera and a total of 73 new species. Many unanswered questions remain about this ubiquitous yet enigmatic gut virus which I aim to approach in my research through computational analysis of metagenomic sequences.

Virus classification for viral genomic fragments using PhaGCN2.

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.