Molecular characterization of a novel fusarivirus infecting the plant-pathogenic fungus Nigrospora sphaerica.

Here, we describe a novel mycovirus, tentatively designated as "Nigrospora sphaerica fusarivirus 2" (NsFV2), which was isolated from the phytopathogenic fungus Nigrospora sphaerica strain HNXX-Ns20. NsFV2 has a single-stranded positive-sense RNA (+ ssRNA) genome of 6,156 nucleotides, excluding the poly(A) tail, and contains two putative open reading frames (ORFs). ORF1 encodes a large polypeptide of 1,509 amino acids (aa) containing a conserved RNA-dependent RNA polymerase (RdRp) domain and a viral helicase domain. The ORF1-encoded polypeptide shares 29.40-68.48% sequence identity with other fusariviruses and shares the highest sequence identity (68.48%) with Nigrospora sphaerica fusarivirus 1 (NsFV1). The small ORF2 encodes a polypeptide of 483 aa that contains a conserved chromosome segregation ATPase (Smc) domain. Multiple sequence alignments and phylogenetic analysis based on the ORF1-encoded polypeptide indicated that NsFV2 should be considered a new member of the genus Alphafusarivirus of the family Fusariviridae.

Complete genome sequence of a novel mitovirus identified in the phytopathogenic fungus Alternaria tenuissima.

In this study, a novel positive-sense single-stranded RNA (+ ssRNA) mycovirus, Alternaria tenuissima mitovirus 1 (AtMV1), was identified in Alternaria tenuissima strain YQ-2-1, a phytopathogenic fungus causing leaf blight on muskmelon. The genome of AtMV1 is a single RNA molecule that is 3013 nt in length with an A + U content of 66.58% and contains a single open reading frame (ORF) using the fungal mitochondrial genetic code. The ORF was predicted to encode a 313-amino-acid RNA-dependent RNA polymerase (RdRp) with a molecular mass of 35.48 kDa, which contains six conserved motifs with the highly conserved GDD tripeptide in motif IV. The 5' and 3' untranslated regions were predicted to fold into stem-loop and panhandle secondary structures. The results of a BLASTp search revealed that the amino acid (aa) sequence of RdRp of AtMV1 shared the highest sequence similarity (51.04% identity) with that of Sichuan mito-like virus 30, a member of the genus Duamitovirus within the family Mitoviridae. Phylogenetic analysis based on the aa sequence of the RdRp suggested that AtMV1 is a novel member of the genus Duamitovirus. To our knowledge, this is the first report of the complete genome sequence of a new mitovirus infecting A. tenuissima.

Detection and molecular characterization of a novel mitovirus associated with Passiflora edulis Sims.

Mitoviruses are cryptic capsidless viruses belonging to the family Mitoviridae that replicate and are maintained in the mitochondria of fungi. Complete mitovirus-like sequences were recently assembled from plant transcriptome data and plant leaf tissue samples. Passion fruit (Passiflora spp.) is an economically important crop for numerous tropical and subtropical countries worldwide, and many virus-induced diseases impact its production. From a large-scale genomic study targeting viruses infecting Passiflora spp. in Brazil, we detected a de novo-assembled contig with similarity to other plant-associated mitoviruses. The contig is ∼2.6 kb long, with a single open reading frame (ORF) encoding an RNA-dependent RNA polymerase (RdRP). This contig has been named "passion fruit mitovirus-like 1" (PfMv1). An alignment of the predicted amino acid sequence of the RdRP of PfMv1 and those of other plant-associated mitoviruses revealed the presence of the six conserved motifs of mitovirus RdRPs. PfMv1 has 79% coverage and 50.14% identity to Humulus lupulus mitovirus 1. Phylogenetic analysis showed that PfMV1 clustered with other plant-associated mitoviruses in the genus Duamitovirus. Using RT-PCR, we detected a PfMv1-derived fragment, but no corresponding DNA was identified, thus excluding the possibility that this is an endogenized viral-like sequence. This is the first evidence of a replicating mitovirus associated with Passiflora edulis, and it should be classified as a member of a new species, for which we propose the name "Duamitovirus passiflorae".

Two +ssRNA mycoviruses cohabiting the fungal cultivar of leafcutter ants.

Leafcutter ants are dominant herbivores in the Neotropics and rely on a fungus (Leucoagaricus gongylophorus) to transform freshly gathered leaves into a source of nourishment rather than consuming the vegetation directly. Here we report two virus-like particles that were isolated from L. gongylophorus and observed using transmission electron microscopy. RNA sequencing identified two +ssRNA mycovirus strains, Leucoagaricus gongylophorus tymo-like virus 1 (LgTlV1) and Leucoagaricus gongylophorus magoulivirus 1 (LgMV1). Genome annotation of LgTlV1 (7401 nt) showed conserved domains for methyltransferase, endopeptidase, viral RNA helicase, and RNA-dependent RNA polymerase (RdRp). The smaller genome of LgMV1 (2636 nt) contains one open reading frame encoding an RdRp. While we hypothesize these mycoviruses function as symbionts in leafcutter farming systems, further study will be needed to test whether they are mutualists, commensals, or parasites.

Solenopsis richteri (Hymenoptera: Formicidae) alates infected with deformed wing virus display wing deformity with altered mobility.

Deformed wing virus (DWV) has long been identified as a critical pathogen affecting honeybees, contributing to colony losses through wing deformities, neurological impairments, and reduced lifespan. Since DWV also affects other pollinators, it poses a significant threat to global pollination networks. While honeybees have been the focal point of DWV studies, emerging research indicates that this RNA virus is not host-specific but rather a generalist pathogen capable of infecting a wide range of insect species, including other bee species such as bumblebees and solitary bees, as well as wasps and ants. This expands the potential impact of DWV beyond honeybees to broader ecological communities. The black imported fire ant, Solenopsis richteri, is an economically important invasive ant species. In this study, we describe deformed wing (DW) symptoms in S. richteri. DW alates were found in three of nine (33%) laboratory colonies. The symptoms ranged from severely twisted wings to a single crumpled wing tip. Additionally, numerous symptomatic alates also displayed altered mobility, ranging from an ataxic gait to an inability to walk. Viral replication of DWV was confirmed using a modified strand-specific RT-PCR. Our results suggest that S. richteri can be an alternative host for DWV, expanding our understanding of DWV as a generalist pathogen in insects. However, additional research is required to determine whether DWV is the etiological agent responsible for DW syndrome in S. richteri.

Completion of the genome sequence of Oidiodendron maius splipalmivirus 1.

Mycoviruses with an unprecedented genome organization, featuring the RNA-directed RNA polymerase (RdRp) palm domain coding sequence being split into two distinct genome segments, have been found recently in a few fungi and oomycetes of different lineages and have been proposed to be named "splipalmiviruses". One of these, Oidiodendron maius splipalmivirus 1 (OmSPV1), has been detected in the ericoid mycorrhizal fungus Oidiodendron maius, and it has been proposed to be bisegmented. Here, we complete the genome sequence of this virus by describing a third RNA segment, which is 2000 nt long and whose terminal sequences are identical to those of the other two segments of OmSPV1. This segment contains a single open reading frame that codes for a protein with unknown function and has a low level of sequence identity (47%) to the putative protein encoded by the third segment of another splipalmivirus from Magnaporthe oryzae: Magnaporthe oryzae narnavirus virus 1 (MoNV1). Based on these features, we propose the RNA segment to be the third segment of the OmSPV1 genome.

New insights into RNA mycoviruses of fungal pathogens causing Fusarium head blight.

Fusarium head blight (FHB) continues to be a major problem in wheat production and is considered a disease complex caused by several fungal pathogens including Fusarium culmorum, F. graminearum and F. equiseti. With the objective of investigating diversity of mycoviruses in FHB-associated pathogens, we isolated Fusarium spp. from six wheat (Triticum aestivum) cultivars. In total, 56 Fusarium isolates (29 F. culmorum, 24 F. graminearum, one F. equiseti) were screened for mycoviruses by extracting and sequencing double-stranded RNA. We found that a large proportion of Fusarium isolates (46 %) were infected with mycoviruses. F. culmorum, previously described to harbor only one mycovirus, tended to host more viruses than F. graminearum, with a few isolates harboring seven mycoviruses simultaneously. Based on the RNA-dependent RNA polymerase domain analysis, ten were positive-sense single-stranded RNA viruses (related to viruses from families Mitoviridae, Botourmiaviridae, Narnaviridae, Tymoviridae, Gammaflexiviridae, as well as proposed Ambiguiviridae and ormycovirus viral group), one was double-stranded RNA virus (Partitiviridae), and five were negative-sense single-stranded RNA viruses (related to members in the families of Yueviridae, Phenuiviridae, Mymonaviridae, as well as proposed Mycoaspiviridae). Five mycoviruses were shared between F. graminearum and F. culmorum. These results increase our general understanding of mycovirology. To our knowledge, this is the first in-depth report of the mycovirome in F. culmorum and the first report on the diversity of mycoviruses from Danish isolates of FHB-causing fungi in general.

Discovery and genomic characterization of three double-stranded RNA viruses coinfecting Conidiobolus taihushanensis.

Conidiobolus sensu lato, a genus within the family Ancylistaceae, encompasses a diverse range of fungal species that are widely distributed in plant debris and soil. In this study, we identified three double-stranded RNA (dsRNA) viruses coinfecting a strain of Conidiobolus taihushanensis. These viruses were identified as Conidiobolus taihushanensis totivirus 1 (CtTV1), Conidiobolus nonsegmented RNA virus 1-2 (CNRV1-2), and Conidiobolus taihushanensis virus 1 (CtV1). Through high-throughput sequencing and RNA-ligase-mediated rapid amplification of cDNA ends (RLM-RACE), we determined their complete genome sequences. The genome of CtTV1 is 6,921 nucleotides in length, containing two open reading frames (ORFs). ORF1 encodes a 1,124-amino-acid capsid protein (CP) with a molecular weight of 125.07 kDa, and ORF2 encodes a 780-amino-acid RNA-dependent RNA polymerase (RdRp) with a molecular weight of 88.05 kDa. CNRV1-2, approximately 3.0 kb in length, also contains two ORFs, which are predicted to encode a 186-amino-acid hypothetical protein (HP) and a 758-amino-acid RdRp. CtV1 has a smaller genome consisting of 3,081 base pairs (bp) with two ORFs: one encoding a 244-amino-acid HP (26.85 kDa) and the other encoding a 707-amino-acid RdRp (80.64 kDa). Phylogenetic analysis based on RdRp sequences revealed that CtTV1 shows the highest similarity to Phytophthora pluvialis RNA virus 1, with 38.79% sequence identity, and clusters with members of the family Orthototiviridae, and it is most closely related to Utsjoki toti-like virus. In contrast, CtV1 formed a unique branch and might represent a new genus. The genome sequence of CNRV1-2 is 99.74% identical to that of the previously described Conidiobolus non-segmented RNA virus 1 (CNRV1). Our findings indicate that CtTV1 and CtV1 are distinct novel viruses, while CNRV1-2 appears to be a variant of CNRV1. This study enhances our understanding of the genetic diversity and evolutionary relationships among mycoviruses associated with C. taihushanensis.

A novel ormycovirus isolated from the plant-pathogenic fungus Fusarium graminearum.

In this study, we identified a novel mycovirus, Fusarium graminearum ormycovirus 1 (FgOV1), from the pathogenic fungus Fusarium graminearum. The virus has two RNA segments, RNA1 and RNA2, with lengths of 2,591 and 1,801 nucleotides, respectively, excluding the polyA tail. Each segment contains a single open reading frame (ORF). The ORF in RNA1 encodes an RNA-dependent RNA polymerase, while the ORF in RNA2 encodes a hypothetical protein. Phylogenetic analysis showed that FgOV1 belongs to the gammaormycovirus clade, whose members are related to betaormycoviruses. To our knowledge, this is the first report of an ormycovirus in Fusarium graminearum.

Complete genome sequence of lima bean endornavirus 1: a putative new member of the genus Alphaendornavirus (family Endornaviridae).

In this study, we completely sequenced the genome of a new member of the genus Alphaendornavirus, family Endornaviridae, from lima bean (Phaseolus lunatus), for which we propose the name "lima bean endornavirus 1" (LbEV1). The complete genome of LbEV1 consists of 15,265 nucleotides, including a stretch of 12 cytosine residues at its 3' end, and contains a long single open reading frame (ORF) coding for a 4980-aa-long polyprotein. Analysis of the polyprotein sequence revealed the presence of four conserved functional domains (in order from the N- to C-terminus): viral helicase 1, peptidase _C97, glycosyltransferase_GTB-type, and viral RNA-dependent RNA polymerase (RdRP). The LbEV1 polyprotein showed the highest amino acid sequence similarity (63% identity and 98% coverage) to Phaseolus vulgaris endornavirus 3 (PvEV3) and also showed 42% identity (95% coverage) to Geranium carolinianum endornavirus. Phylogenetic analysis based on the viral RdRp domain showed that LbEV1 belongs to a subclade within the genus Alphaendornavirus that includes three other viruses infecting plants of the genus Phaseolus.

Exploring Virus Diversity in the Potato leafhopper (Empoasca fabae), an Economically Important Agricultural Pest.

The potato leafhopper (Empoasca fabae, PLH) is a serious pest that feeds on a wide range of agricultural crops and is found throughout the United States but is not known to be a vector for plant-infecting viruses. We probed the diversity of virus sequences in field populations of PLH collected from four Midwestern states: Illinois, Indiana, Iowa, and Minnesota. High-throughput sequencing data from total RNAs extracted from PLH were used to assemble sequences of fifteen positive-stranded RNA viruses, two negative-stranded RNA viruses, and one DNA virus. These sequences included ten previously described plant viruses and eight putative insect-infecting viruses. All but one of the insect-specific viruses were novel and included three solemoviruses, one iflavirus, one phenuivirus, one lispivirus, and one ambidensovirus. Detailed analyses of the novel genome sequences and their evolutionary relationships with related family members were conducted. Our study revealed a diverse group of plant viruses circulating in the PLH population and discovered novel insect viruses, expanding knowledge on the untapped virus diversity in economically important crop pests. Our findings also highlight the importance of monitoring the emergence and circulation of plant-infecting viruses in agriculturally important arthropod pests.

Molecular characterization of a novel gammapartitivirus infecting the fungus Nigrospora oryzae.

Here, we identified a new mycovirus infecting the phytopathogenic fungus Nigrospora oryzae, which we have designated "Nigrospora oryzae partitivirus 2" (NoPV2). The genome of NoPV2 consists of two dsRNA segments (dsRNA 1 and dsRNA 2), measuring 1771 and 1440 bp in length, respectively. dsRNA 1 and dsRNA 2 each contain a single open reading frame (ORF) that encodes the RNA-dependent RNA polymerase (RdRp) and capsid protein (CP), respectively. A BLASTp search showed that the RdRp of NoPV2 had significant sequence similarity to the RdRps of other partitiviruses, including Nigrospora sphaerica partitivirus 1 (75.61% identity) and Magnaporthe oryzae partitivirus 1 (67.53% identity). Phylogenetic analysis revealed that NoPV2 is a new member of the genus Gammapartitivirus in the family Partitiviridae. This study provides important information for understanding the diversity of mycoviruses in N. oryzae.

Prevalence and molecular analysis of some important viruses in honey bee colonies in Türkiye: the status of multiple infections.

In this study, seven bee viruses of significant importance for bee health in Türkiye were investigated using one-step RT-PCR. For this purpose, larvae from 1183 hives and adult bees from 1196 hives were sampled from 400 apiaries in 40 provinces. The prevalence of viral infections in hives was as follows: acute bee paralysis virus (ABPV), 6.4%; black queen cell virus (BQCV), 77%; chronic bee paralysis virus (CBPV), 3.2%; deformed wing virus (DWV), 63.8%; Israel acute bee paralysis virus (IAPV), 7%; Kashmir bee virus (KBV), 2.7%; sacbrood virus (SBV), 49.7%. Moreover, 50 different combinations of viral infections were identified in the hives. While dual infections (36.1%) were the most common in hives, triple infections with BQCV, DWV, and SBV were found to have the highest prevalence (22.1%). At least one viral infection was detected in all of the apiaries tested. Phylogenetic analysis showed that the isolates from this study generally exhibited the highest similarity to previously reported Turkish isolates. When similarity ratios and the locations and types of amino acid mutations were analyzed, it was observed that the isolates from our study exhibited high similarity to isolates from various countries, including China, the United Kingdom, Syria, and Germany.

Complete genome sequence of a novel mitovirus isolated from the phytopathogenic fungus Alternaria alternata causing apple leaf blotch.

In this study, a novel mitovirus, tentatively designated as "Alternaria alternata mitovirus 2" (AaMV2), was isolated from the fungus Alternaria alternata f. sp. mali causing apple leaf blotch disease. The complete genome of AaMV2 is 3,157 nucleotides in length, with an A+U content of 68.10%. The genome has a single large open reading frame (ORF) encoding an RNA-dependent RNA polymerase (RdRp) protein with a molecular mass of 98.10 kDa. BLAST analysis revealed that AaMV2 has the highest sequence identity to Leptosphaeria biglobosa mitovirus 6, with 79.76% and 82.86% identity at the amino acid and nucleotide level, respectively. Phylogenetic analysis suggested that AaMV2 is a new member of the genus Duamitovirus within the family Mitoviridae. This is the first report of the complete genome sequence analysis of a mitovirus in A. alternata.

Molecular characterization of a novel mitovirus from the plant-pathogenic fungus Nigrospora oryzae.

Here, we characterized a novel mitovirus from the fungus Nigrospora oryzae, which was named "Nigrospora oryzae mitovirus 3" (NoMV3). The NoMV3 genome is 2,492 nt in length with a G + C content of 33%, containing a single large open reading frame (ORF) using the fungal mitochondrial genetic code. The ORF encodes an RNA-dependent RNA polymerase (RdRp) of 775 amino acids with a molecular mass of 88.75 kDa. BLASTp analysis revealed that the RdRp of NoMV3 had 68.6%, 50.6%, and 48.6% sequence identity to those of Nigrospora oryzae mitovirus 2, Suillus luteus mitovirus 6, and Fusarium proliferatum mitovirus 3, respectively, which belong to the genus Unuamitovirus within the family Mitoviridae. Phylogenetic analysis based on amino acid sequences supported the classification of NoMV3 as a member of a new species in the genus Unuamitovirus within the family Mitoviridae.

Spatiotemporal evolution of the distribution of Chronic bee paralysis virus (CBPV) in honey bee colonies.

Chronic bee paralysis virus (CBPV) is a Apis mellifera viral infectious disease, exhibiting dark and hairless abdomen in workers with tremors and ataxita. Clinical signs are also typically linked to adverse weather conditions and overcrowding in the hive. The disease occurs in spring but recently it has been observed cases increase and seasonality loss of the disease incidence. This study analyses the evolution of CBPV in Italy, through data collected from 2009 to 2023 within three monitoring projects comprising nationwide extended detection networks, aimed to investigate the evolution of the CBPV spatial distribution, identifying high-risk areas for the virus spread. This study highlights an increased risk over years. Prevalence increased from 4.3% during 2009-2010 to 84.7% during 2021-2023 monitoring years. CBPV outbreaks were irregular between investigated seasons, highlighting Spring and Autumn as the most susceptible seasons. Risk of CBPV infection has increased, reaching high-risk in last years of monitoring. Sequence analysis showed a high similarity to other isolated Italian CBPVs. The study offers an epidemiological insight into the aetiology of this disease. CBPV distribution is a prerequisite to predict its future spread and factors involved in its propagation not only in honey bees but also in other pollinators and environments.

An interlaboratory proficiency test using metagenomic sequencing as a diagnostic tool for the detection of RNA viruses in swine fecal material.

Metagenomic shotgun sequencing (mNGS) can serve as a generic molecular diagnostic tool. An mNGS proficiency test (PT) was performed in six European veterinary and public health laboratories to detect porcine astroviruses in fecal material and the extracted RNA. While different mNGS workflows for the generation of mNGS data were used in the different laboratories, the bioinformatic analysis was standardized using a metagenomic read classifier as well as read mapping to selected astroviral reference genomes to assess the semiquantitative representation of astrovirus species mixtures. All participants successfully identified and classified most of the viral reads to the two dominant species. The normalized read counts obtained by aligning reads to astrovirus reference genomes by Bowtie2 were in line with Kraken read classification counts. Moreover, participants performed well in terms of repeatability when the fecal sample was tested in duplicate. However, the normalized read counts per detected astrovirus species differed substantially between participants, which was related to the different laboratory methods used for data generation. Further modeling of the mNGS data indicated the importance of selecting appropriate reference data for mNGS read classification. As virus- or sample-specific biases may apply, caution is needed when extrapolating this swine feces-based PT for the detection of other RNA viruses or using different sample types. The suitability of experimental design to a given pathogen/sample matrix combination, quality assurance, interpretation, and follow-up investigation remain critical factors for the diagnostic interpretation of mNGS results. IMPORTANCE: Metagenomic shotgun sequencing (mNGS) is a generic molecular diagnostic method, involving laboratory preparation of samples, sequencing, bioinformatic analysis of millions of short sequences, and interpretation of the results. In this paper, we investigated the performance of mNGS on the detection of porcine astroviruses, a model for RNA viruses in a pig fecal material, among six European veterinary and public health laboratories. We showed that different methods for data generation affect mNGS performance among participants and that the selection of reference genomes is crucial for read classification. Follow-up investigation remains a critical factor for the diagnostic interpretation of mNGS results. The paper contributes to potential improvements of mNGS as a diagnostic tool in clinical settings.

A systematic review on current approaches in bat virus discovered between 2018 and 2022.

Zoonotic viruses are widely seen as the primary threat for future pandemics. Bats are the most diverse group of mammals, with more than 1400 species distributed across most habitats on Earth. So far, 31 known virus families were associated with bats, although the understanding of most viruses were insufficient. Continuous efforts to discover, understand and monitor these bats viruses, is thereby an area of public health interest. This systematic review was designed to catalogue publications reporting novel bat virus discoveries within PubMed, SCOPUS, and Web of Science databases, within a 5-year period from 2018 to 2022. Various experimental parameters, including sampling locations, methodology, bat species diversity, similarity to known viruses, species demarcation of new viruses, and genomic sequencing strategies, were extracted from 41 publications and analyzed. In total, 72 novel viruses from 19 virus families were identified between 2018 and 2022, particularly from Genomoviridae (DNA viruses) and Coronaviridae (RNA viruses). That said, only a limited number of bat families featured extensively despite noticeable shift towards next generation sequencing methods and metagenomics pipeline for virus identification across different sampling methods. This review aims to provide a comprehensive analysis of the global efforts made over the past five years to identify and characterize emerging viruses in bat species, and to provide a detailed overview of the current technologies and methodologies used in these studies.

Decoding the RNA viromes in shrew lungs along the eastern coast of China.

Shrews being insectivores, serve as natural reservoirs for a wide array of zoonotic viruses, including the recently discovered Langya henipavirus (LayV) in China in 2018. It is crucial to understand the shrew-associated virome, viral diversity, and new viruses. In the current study, we conducted high-throughput sequencing on lung samples obtained from 398 shrews captured along the eastern coast of China, and characterized the high-depth virome of 6 common shrew species (Anourosorex squamipes, Crocidura lasiura, Crocidura shantungensis, Crocidura tanakae, Sorex caecutiens, and Suncus murinus). Our analysis revealed numerous shrew-associated viruses comprising 54 known viruses and 72 new viruses that significantly enhance our understanding of mammalian viruses. Notably, 34 identified viruses possess spillover-risk potential and six were human pathogenic viruses: LayV, influenza A virus (H5N6), rotavirus A, rabies virus, avian paramyxovirus 1, and rat hepatitis E virus. Moreover, ten previously unreported viruses in China were discovered, six among them have spillover-risk potential. Additionally, all 54 known viruses and 12 new viruses had the ability to cross species boundaries. Our data underscore the diversity of shrew-associated viruses and provide a foundation for further studies into tracing and predicting emerging infectious diseases originated from shrews.

Improving grapevine virus diagnostics: Comparative analysis of three dsRNA enrichment methods for high-throughput sequencing.

The extraction of double stranded (ds) RNA is a common enrichment method for the study, characterization, and detection of RNA viruses. In addition to RNA viruses, viroids, and some DNA viruses, can also be detected from dsRNA enriched extracts which makes it an attractive method for detecting a wide range of viruses when coupled with HTS. Several dsRNA enrichment strategies have been developed. The oldest utilizes the selective binding properties of dsRNA to cellulose. More recent methods are based on the application of anti-dsRNA antibodies and viral proteins with a specific affinity for dsRNA. All three methods have been used together with HTS for plant virus detection and study. To our knowledge, this is the first comparative study of three alternative dsRNA enrichment methods for virus and viroid detection through HTS using virus-infected, and healthy grapevine test plants. Extracts were performed in triplicate using methods based on, the anti-dsRNA antibody mAb rJ2 (Millipore Sigma Canada Ltd, Oakville, ON, Canada), the B2 dsRNA binding protein, and ReliaPrep™ Resin (Promega Corporation, Madison, WI, USA). The results show that the workflows for all three methods are effectively comparable, apart from purification steps related to antibody and binding protein construct. Both the cellulose resin and dsRNA binding protein construct methods provide highly enriched dsRNA extracts suitable for HTS with the B2 method providing a 36× and the ReliaPrep™ Resin a 163× increase in dsRNA enrichment compared to the mAb rJ2 antibody. The overall consistency and cost effectiveness of the ReliaPrep™ cellulose resin-based method and the potentially simpler adaptation to robotics made it the method of choice for future transfer to a semi-automated workflow.