Viral Metagenomic Analysis Research Articles

A novel pulmonary polyomavirus in alpacas (Vicugna pacos)

Viral metagenomic analysis detected a novel polyomavirus in a 6-month old female alpaca (Vicugna pacos) euthanized after a diagnosis of disseminated lymphosarcoma. The viral genome was fully sequenced, found to be similar to other polyomaviruses in gene architecture and provisionally named Alpaca polyomavirus or AlPyV. Viral nucleic acid was detected by PCR in venous blood, spleen, thymus, and lung. AlPyV phylogenetically clustered in the “Wuki” group of PyVs, which includes WU and KI polyomaviruses, commonly found in human respiratory samples. In an ISH analysis of 17 alpaca necropsies, 7 had detectable virus within the lung. In animals without pneumonia, probe hybridization was restricted to the nuclei of scattered individual bronchiolar epithelial cells. Three of the ISH positive alpacas had interstitial pneumonia of unknown origin, and in these animals there was viral nucleic acid detected in bronchiolar epithelium, type II pneumocytes, and alveolar macrophages. The pattern of AlPyV distribution is consistent with a persistent respiratory virus that has a possible role in respiratory disease.

Bacteria and bacteriophage communities in bulking and non-bulking activated sludge in full-scale municipal wastewater treatment systems

Bacteriophages can influence the bacterial community through specific infection and lysis. However, there are no studies on the viral community composition or its relationship with the bacterial community in bulking activated sludge (AS). In this study, a fluorescence staining counting method, high throughput and metagenomic Illumina sequencing techniques were used to analyze the changes in bacterial and viral communities in bulking and non-bulking AS in three separate full-scale municipal wastewater treatment plants (WWTPs). The results indicated that during AS bulking, the balance of bacteria and bacteriophages was obviously altered with the ratios of bacteria to virus-like particles increasing 5.7–17.5-fold; the diversity of both the bacterial and viral communities was low; the abundance of some bacterial genera significantly increased including bulking causative bacteria such as Flavobacterium, Candidatus Microthrix, and Haliscomenobacter increasing 10.7–48.7-, 3.5–37.7- and 2.5–5.8-fold, respectively. Viral metagenomic analysis indicated that high diversity and a large number of unknown viruses existed in the WWTPs, while bacteriophages, Podoviridae, Siphoviridae, and Myoviridae, dominated the classified viruses, of which the abundance of Podoviridae and Myoviridae increased sharply by 3.8–4.7- and 1.3–3.1-fold, respectively, in the bulking AS. In addition to the dominant bacteriophages, a large number of human and animal viruses were present in the WWTPs, especially in the autumn non-bulking AS.

Complete Genome Sequence of a Genotype III Japanese Encephalitis Virus, Isolated from Pigs in Sichuan, China.

A complete genomic sequence of Japanese encephalitis virus (JEV) was detected by viral metagenome analysis on aborted piglets. A phylogenetic analysis of this genome reveals that it is highly similar to previously reported India JEV genomes. The complete JEV sequence is 10,718 nucleotides long.

Viral Metagenomic Analysis Displays the Co-Infection Situation in Healthy and PMWS Affected Pigs.

The development of high-throughput sequencing technologies have allowed the possibility to investigate and characterise the entire microbiome of individuals, providing better insight to the complex interaction between different microorganisms. This will help to understand how the microbiome influence the susceptibility of secondary agents and development of disease. We have applied viral metagenomics to investigate the virome of lymph nodes from Swedish pigs suffering from the multifactorial disease postweaning multisystemic wasting syndrome (PMWS) as well as from healthy pigs. The aim is to increase knowledge of potential viruses, apart from porcine circovirus type 2 (PCV2), involved in PMWS development as well as to increase knowledge on the virome of healthy individuals. In healthy individuals, a diverse viral flora was seen with several different viruses present simultaneously. The majority of the identified viruses were small linear and circular DNA viruses, such as different circoviruses, anelloviruses and bocaviruses. In the pigs suffering from PMWS, PCV2 sequences were, as expected, detected to a high extent but other viruses were also identified in the background of PCV2. Apart from DNA viruses also RNA viruses were identified, among them were a porcine pestivirus showing high similarity to a recently (in 2015) discovered atypical porcine pestivirus in the US. Majority of the viruses identified in the background of PCV2 in PMWS pigs could also be identified in the healthy pigs. PCV2 sequences were also identified in the healthy pigs but to a much lower extent than in PMWS affected pigs. Although the method used here is not quantitative the very clear difference in amount of PCV2 sequences in PMWS affected pigs and healthy pigs most likely reflect the very strong replication of PCV2 known to be a hallmark of PMWS. Taken together, these findings illustrate that pigs appear to have a considerable viral flora consisting to a large extent of small single-stranded and circular DNA viruses. Future research on these types of viruses will help to better understand the role that these ubiquitous viruses may have on health and disease of pigs. We also demonstrate for the first time, in Europe, the presence of a novel porcine pestivirus.

Viruses as Winners in the Game of Life.

Viruses are the most abundant and the most diverse life form. In this meta-analysis we estimate that there are 4.80×1031 phages on Earth. Further, 97% of viruses are in soil and sediment-two underinvestigated biomes that combined account for only ∼2.5% of publicly available viral metagenomes. The majority of the most abundant viral sequences from all biomes are novel. Our analysis drawing on all publicly available viral metagenomes observed a mere 257,698 viral genotypes on Earth-an unrealistically low number-which attests to the current paucity of viral metagenomic data. Further advances in viral ecology and diversity call for a shift of attention to previously ignored major biomes and careful application of verified methods for viral metagenomic analysis.

Method-centered digital communities on protocols.io for fast-paced scientific innovation.

The Internet has enabled online social interaction for scientists that previously happened only in physical meetings and conferences. Yet despite these innovations in communication, dissemination of methods is often relegated to the slow process of academic publishing. Further, these methods remain static, with subsequent advances published elsewhere and unlinked. For communities undergoing fast-paced innovation, researchers need new capabilities to share, obtain feedback, and publish methods at the forefront of scientific development. For example, a renaissance in virology is now underway given the new metagenomic methods to sequence viral DNA directly from an environment. Metagenomics makes it possible to "see" natural viral communities that could not be previously studied through culturing methods. Yet, the knowledge of specialized techniques for the production and analysis of viral metagenomes remains in a subset of labs. This problem is common to any community using and developing emerging technologies and techniques. We developed new capabilities to create virtual communities in protocols.io, an open access platform, for disseminating protocols and knowledge at the forefront of scientific development. To demonstrate these capabilities, we present a virology community forum called VERVENet. These new features allow virology researchers to share protocols and their annotations and optimizations, connect with the broader virtual community to share knowledge, job postings, conference announcements through a common online forum, and discover the current literature through personalized recommendations to promote discussion of cutting edge research. Virtual communities in protocols.io enhance a researcher's ability to: discuss and share protocols, connect with fellow community members, and learn about new and innovative research in the field. The web-based software for developing virtual communities is free to use on protocols.io. Data are available through public APIs at protocols.io.

MetLab: An In Silico Experimental Design, Simulation and Analysis Tool for Viral Metagenomics Studies.

Metagenomics, the sequence characterization of all genomes within a sample, is widely used as a virus discovery tool as well as a tool to study viral diversity of animals. Metagenomics can be considered to have three main steps; sample collection and preparation, sequencing and finally bioinformatics. Bioinformatic analysis of metagenomic datasets is in itself a complex process, involving few standardized methodologies, thereby hampering comparison of metagenomics studies between research groups. In this publication the new bioinformatics framework MetLab is presented, aimed at providing scientists with an integrated tool for experimental design and analysis of viral metagenomes. MetLab provides support in designing the metagenomics experiment by estimating the sequencing depth needed for the complete coverage of a species. This is achieved by applying a methodology to calculate the probability of coverage using an adaptation of Stevens’ theorem. It also provides scientists with several pipelines aimed at simplifying the analysis of viral metagenomes, including; quality control, assembly and taxonomic binning. We also implement a tool for simulating metagenomics datasets from several sequencing platforms. The overall aim is to provide virologists with an easy to use tool for designing, simulating and analyzing viral metagenomes. The results presented here include a benchmark towards other existing software, with emphasis on detection of viruses as well as speed of applications. This is packaged, as comprehensive software, readily available for Linux and OSX users at https://github.com/norling/metlab.

Challenges in the analysis of viral metagenomes.

Genome sequencing technologies continue to develop with remarkable pace, yet analytical approaches for reconstructing and classifying viral genomes from mixed samples remain limited in their performance and usability. Existing solutions generally target expert users and often have unclear scope, making it challenging to critically evaluate their performance. There is a growing need for intuitive analytical tooling for researchers lacking specialist computing expertise and that is applicable in diverse experimental circumstances. Notable technical challenges have impeded progress; for example, fragments of viral genomes are typically orders of magnitude less abundant than those of host, bacteria, and/or other organisms in clinical and environmental metagenomes; observed viral genomes often deviate considerably from reference genomes demanding use of exhaustive alignment approaches; high intrapopulation viral diversity can lead to ambiguous sequence reconstruction; and finally, the relatively few documented viral reference genomes compared to the estimated number of distinct viral taxa renders classification problematic. Various software tools have been developed to accommodate the unique challenges and use cases associated with characterizing viral sequences; however, the quality of these tools varies, and their use often necessitates computing expertise or access to powerful computers, thus limiting their usefulness to many researchers. In this review, we consider the general and application-specific challenges posed by viral sequencing and analysis, outline the landscape of available tools and methodologies, and propose ways of overcoming the current barriers to effective analysis.

Identification of a Novel Enterovirus Species in Rhesus Macaque in China.

Recent studies of Enterovirus (EV) in nonhuman primates (NHPs), which could act as a source of future emerging human viral diseases, have boosted interest in the search for novel EVs. Here, a highly divergent strain of EV, tentatively named SEV-gx, was identified by viral metagenomic analysis from stool samples of rhesus macaques in China. In total, 27 of 280 (9.6%) faecal samples from rhesus macaques were positive for SEV-gx. Its complete genomic sequence is 7,367 nucleotide (nt). Genomic analyses showed that it has a standard genomic organisation for EVs, being more closely related to EV-J strains (approximately 54.0%, 43.0–44.1%, 52.3–55.2%, 61.1–62.7% and 64.0% amino acids identity in polyprotein, P1, P2 and P3 and combined 2C/3CD regions, respectively). It was also shown to have genome characteristics typical of EVs. Phylogenetic analysis of P1, 2C and 3CD aa indicated that SEV-gx can be classified as a distinct cluster in the EVs. All of this evidence demonstrates SEV-gx is a novel species (tentatively named EV-K) in the EV genus, which contributes to our understanding of the genetic diversity and evolution of EVs. Further studies are needed to investigate the potential pathogenicity of SEV-gx in NHPs and humans.

MG-Digger: An Automated Pipeline to Search for Giant Virus-Related Sequences in Metagenomes.

The number of metagenomic studies conducted each year is growing dramatically. Storage and analysis of such big data is difficult and time-consuming. Interestingly, analysis shows that environmental and human metagenomes include a significant amount of non-annotated sequences, representing a ‘dark matter.’ We established a bioinformatics pipeline that automatically detects metagenome reads matching query sequences from a given set and applied this tool to the detection of sequences matching large and giant DNA viral members of the proposed order Megavirales or virophages. A total of 1,045 environmental and human metagenomes (≈ 1 Terabase) were collected, processed, and stored on our bioinformatics server. In addition, nucleotide and protein sequences from 93 Megavirales representatives, including 19 giant viruses of amoeba, and 5 virophages, were collected. The pipeline was generated by scripts written in Python language and entitled MG-Digger. Metagenomes previously found to contain megavirus-like sequences were tested as controls. MG-Digger was able to annotate 100s of metagenome sequences as best matching those of giant viruses. These sequences were most often found to be similar to phycodnavirus or mimivirus sequences, but included reads related to recently available pandoraviruses, Pithovirus sibericum, and faustoviruses. Compared to other tools, MG-Digger combined stand-alone use on Linux or Windows operating systems through a user-friendly interface, implementation of ready-to-use customized metagenome databases and query sequence databases, adjustable parameters for BLAST searches, and creation of output files containing selected reads with best match identification. Compared to Metavir 2, a reference tool in viral metagenome analysis, MG-Digger detected 8% more true positive Megavirales-related reads in a control metagenome. The present work shows that massive, automated and recurrent analyses of metagenomes are effective in improving knowledge about the presence and prevalence of giant viruses in the environment and the human body.

Complete Genome Sequence of Porcine Parvovirus 2 Recovered from Swine Sera.

A complete genomic sequence of porcine parvovirus 2 (PPV-2) was detected by viral metagenome analysis on swine sera. A phylogenetic analysis of this genome reveals that it is highly similar to previously reported North American PPV-2 genomes. The complete PPV-2 sequence is 5,426 nucleotides long.

Viral metagenomics analysis of picobirnavirus-positive feces from children with sporadic diarrhea in China.

Picobirnaviruses (PBVs) infect humans and a wide range of animals and may cause diarrhea. The aim of this study was to investigate PBV infection and its association with diarrhea. Here, seven PBV RT-PCR-positive fecal samples from diarrheic children and four fecal samples from healthy children as controls were analyzed by viral metagenomics. The results indicated that all the seven diarrheic fecal samples contain high titers of PBV sequences, while three of the controls were negative, and one had low titers of PBV. Three of the diarrheic fecal samples were also positive for other viruses, including anellovirus, human gyrovirus, human parechovirus, and porcine stool-associated circular virus. PBV sequences from the seven patients were assembled, generating seven large contigs with the complete ORF of RNA-dependent RNA polymerase (RdRp). Phylogenetic analysis of the amino acid sequences of RdRp indicated that the seven PBVs in the present study belonged to three different genogroups. Our data suggest that PBV might have been the cause of diarrhea in these seven children.

Distinct Lineages of Bufavirus in Wild Shrews and Nonhuman Primates.

Viral metagenomic analysis identified a new parvovirus genome in the intestinal contents of wild shrews in Zambia. Related viruses were detected in spleen tissues from wild shrews and nonhuman primates. Phylogenetic analyses showed that these viruses are related to human bufaviruses, highlighting the presence and genetic diversity of bufaviruses in wildlife.

A metagenomic survey of viral abundance and diversity in mosquitoes from Hubei province.

Mosquitoes as one of the most common but important vectors have the potential to transmit or acquire a lot of viruses through biting, however viral flora in mosquitoes and its impact on mosquito-borne disease transmission has not been well investigated and evaluated. In this study, the metagenomic techniquehas been successfully employed in analyzing the abundance and diversity of viral community in three mosquito samples from Hubei, China. Among 92,304 reads produced through a run with 454 GS FLX system, 39% have high similarities with viral sequences belonging to identified bacterial, fungal, animal, plant and insect viruses, and 0.02% were classed into unidentified viral sequences, demonstrating high abundance and diversity of viruses in mosquitoes. Furthermore, two novel viruses in subfamily Densovirinae and family Dicistroviridae were identified, and six torque tenosus virus1 in family Anelloviridae, three porcine parvoviruses in subfamily Parvovirinae and a Culex tritaeniorhynchus rhabdovirus in Family Rhabdoviridae were preliminarily characterized. The viral metagenomic analysis offered us a deep insight into the viral population of mosquito which played an important role in viral initiative or passive transmission and evolution during the process.

Fecal virome analysis of three carnivores reveals a novel nodavirus and multiple gemycircularviruses.

BackgroundMore knowledge about viral populations in wild animals is needed in order to better understand and assess the risk of zoonotic diseases. In this study we performed viral metagenomic analysis of fecal samples from three healthy carnivores: a badger (Meles meles), a mongoose (Herpestes ichneumon) and an otter (Lutra lutra) from Portugal.ResultsWe detected the presence of novel highly divergent viruses in the fecal material of the carnivores analyzed, such as five gemycircularviruses. Four of these gemycircularviruses were found in the mongoose and one in the badger. In addition we also identified an RNA-dependent RNA polymerase gene from a putative novel member of the Nodaviridae family in the fecal material of the otter.ConclusionsTogether these results underline that many novel viruses are yet to be discovered and that fecal associated viruses are not always related to disease. Our study expands the knowledge of viral species present in the gut, although the interpretation of the true host species of such novel viruses needs to be reviewed with great caution.

Genetic diversity and recombination within bufaviruses: Detection of a novel strain in Hungarian bats

Bats are important hosts of many viruses and in several cases they may serve as natural reservoirs even for viruses with zoonotic potential worldwide, including Europe. However, they also serve as natural reservoir for other virus groups with important evolutionary relevance and yet unknown zoonotic potential. We performed viral metagenomic analyses on Miniopterus schreibersii bat fecal samples. As a result, a novel parvovirus was detected for the first time in European bats. Although, bufavirus was recently discovered as a novel human infecting parvovirus, here we report sequence data of the first bufavirus from European bats related to human bufaviruses. Based on our sequence data a possible intragenic recombination event was detected within bufaviruses which may serves as an important milestone in their evolution.

Bioinformatics approaches for viral metagenomics in plants using short RNAs: model case of study and application to a Cicer arietinum population

Over the past years deep sequencing experiments have opened novel doors to reconstruct viral populations in a high-throughput and cost-effective manner. Currently a substantial number of studies have been performed which employ next generation sequencing techniques to either analyze known viruses by means of a reference-guided approach or to discover novel viruses using a de novo-based strategy. Taking advantage of the well-known Cymbidium ringspot virus we have carried out a comparison of different bioinformatics tools to reconstruct the viral genome based on 21–27 nt short (s)RNA sequencing with the aim to identify the most efficient pipeline. The same approach was applied to a population of plants constituting an ancient variety of Cicer arietinum with red seeds. Among the discovered viruses, we describe the presence of a Tobamovirus referring to the Tomato mottle mosaic virus (NC_022230), which was not yet observed on C. arietinum nor revealed in Europe and a viroid referring to Hop stunt viroid (NC_001351.1) never reported in chickpea. Notably, a reference sequence guided approach appeared the most efficient in such kind of investigation. Instead, the de novo assembly reached a non-appreciable coverage although the most prominent viral species could still be identified. Advantages and limitations of viral metagenomics analysis using sRNAs are discussed.

Genetic characterization of a novel picornavirus detected in Miniopterus schreibersii bats.

Bats are important reservoirs of many viruses with zoonotic potential worldwide, including Europe. Among bat viruses, members of the Picornaviridae family remain a neglected group. We performed viral metagenomic analyses on Miniopterus schreibersii bat faecal samples, collected in Hungary in 2013. In the present study we report the first molecular data and genomic characterization of a novel picornavirus from the bat species M. schreibersii in Europe. Based on phylogenetic analyses, the novel bat picornaviruses unambiguously belong to the Mischivirus genus and were highly divergent from other bat-derived picornaviruses of the Sapelovirus genus. Although the Hungarian viruses were most closely related to Mischivirus A, they formed a separate monophyletic branch within the genus.

Viral metagenomic analysis of feces of wild small carnivores.

BackgroundRecent studies have clearly demonstrated the enormous virus diversity that exists among wild animals. This exemplifies the required expansion of our knowledge of the virus diversity present in wildlife, as well as the potential transmission of these viruses to domestic animals or humans.MethodsIn the present study we evaluated the viral diversity of fecal samples (n = 42) collected from 10 different species of wild small carnivores inhabiting the northern part of Spain using random PCR in combination with next-generation sequencing. Samples were collected from American mink (Neovison vison), European mink (Mustela lutreola), European polecat (Mustela putorius), European pine marten (Martes martes), stone marten (Martes foina), Eurasian otter (Lutra lutra) and Eurasian badger (Meles meles) of the family of Mustelidae; common genet (Genetta genetta) of the family of Viverridae; red fox (Vulpes vulpes) of the family of Canidae and European wild cat (Felis silvestris) of the family of Felidae.ResultsA number of sequences of possible novel viruses or virus variants were detected, including a theilovirus, phleboviruses, an amdovirus, a kobuvirus and picobirnaviruses.ConclusionsUsing random PCR in combination with next generation sequencing, sequences of various novel viruses or virus variants were detected in fecal samples collected from Spanish carnivores. Detected novel viruses highlight the viral diversity that is present in fecal material of wild carnivores.

Viral metagenomics analysis demonstrates the diversity of viral flora in piglet diarrhoeic faeces in China

To investigate the diversity of viral flora, we used metagenomics to study the viral communities in a pooled faecal sample of 27 diarrhoeic piglets from intensive commercial farms in China. The 15 distinct mammalian viruses identified in the pooled diarrhoeic sample were, in order of abundance of nucleic acid sequence, Porcine epidemic diarrhea virus (PEDV), sapovirus, porcine bocavirus-4 (PBoV-4), sapelovirus, torovirus, coronavirus, PBoV-2, stool-associated single-stranded DNA virus (poSCV), astrovirus (AstV), kobuvirus, posavirus-1, porcine enterovirus-9 (PEV-9), porcine circovirus-like (po-circo-like) virus, picobirnavirus (PBV) and Torque teno sus virus 2 (TTSuV-2). The prevalence rate of each virus was verified from diarrhoeic and healthy piglets by PCR assay. A mean of 5.5 different viruses were shed in diarrhoeic piglets, and one piglet was in fact co-infected with 11 different viruses. By contrast, healthy piglets shed a mean of 3.2 different viruses. Compared with samples from healthy piglets, the co-infection of PEDV and PBoV had a high prevalence rate in diarrhoea samples, suggesting a correlation with the appearance of diarrhoea in piglets. Furthermore, we report here for the first time the presence of several recently described viruses in China, and the identification of novel genotypes. Therefore, our investigation results provide an unbiased survey of viral communities and prevalence in faecal samples of piglets.