PathoLive-Real-Time Pathogen Identification from Metagenomic Illumina Datasets.

Over the past years, NGS has become a crucial workhorse for open-view pathogen diagnostics. Yet, long turnaround times result from using massively parallel high-throughput technologies as the analysis can only be performed after sequencing has finished. The interpretation of results can further be challenged by contaminations, clinically irrelevant sequences, and the sheer amount and complexity of the data. We implemented PathoLive, a real-time diagnostics pipeline for the detection of pathogens from clinical samples hours before sequencing has finished. Based on real-time alignment with HiLive2, mappings are scored with respect to common contaminations, low-entropy areas, and sequences of widespread, non-pathogenic organisms. The results are visualized using an interactive taxonomic tree that provides an easily interpretable overview of the relevance of hits. For a human plasma sample that was spiked in vitro with six pathogenic viruses, all agents were clearly detected after only 40 of 200 sequencing cycles. For a real-world sample from Sudan, the results correctly indicated the presence of Crimean-Congo hemorrhagic fever virus. In a second real-world dataset from the 2019 SARS-CoV-2 outbreak in Wuhan, we found the presence of a SARS coronavirus as the most relevant hit without the novel virus reference genome being included in the database. For all samples, clinically irrelevant hits were correctly de-emphasized. Our approach is valuable to obtain fast and accurate NGS-based pathogen identifications and correctly prioritize and visualize them based on their clinical significance: PathoLive is open source and available on GitLab and BioConda.

PAIPline: pathogen identification in metagenomic and clinical next generation sequencing samples.

Motivation: Next generation sequencing (NGS) has provided researchers with a powerful tool to characterize metagenomic and clinical samples in research and diagnostic settings. NGS allows an open view into samples useful for pathogen detection in an unbiased fashion and without prior hypothesis about possible causative agents. However, NGS datasets for pathogen detection come with different obstacles, such as a very unfavorable ratio of pathogen to host reads. Alongside often appearing false positives and irrelevant organisms, such as contaminants, tools are often challenged by samples with low pathogen loads and might not report organisms present below a certain threshold. Furthermore, some metagenomic profiling tools are only focused on one particular set of pathogens, for example bacteria. Results: We present PAIPline, a bioinformatics pipeline specifically designed to address problems associated with detecting pathogens in diagnostic samples. PAIPline particularly focuses on userfriendliness and encapsulates all necessary steps from preprocessing to resolution of ambiguous reads and filtering up to visualization in a single tool. In contrast to existing tools, PAIPline is more specific while maintaining sensitivity. This is shown in a comparative evaluation where PAIPline was benchmarked along other well-known metagenomic profiling tools on previously published well-characterized datasets. Additionally, as part of an international cooperation project, PAIPline was applied to an outbreak sample of hemorrhagic fevers of then unknown etiology. The presented results show that PAIPline can serve as a robust, reliable, user-friendly, adaptable and generalizable stand-alone software for diagnostics from NGS samples and as a stepping stone for further downstream analyses. Availability and implementation: PAIPline is freely available under https://gitlab.com/rki_bioinformatics/paipline.

Comparing Viral Metagenomic Extraction Methods.

A crucial step in the molecular detection of viruses in clinical specimens is the efficient extraction of viral nucleic acids. The total yield of viral nucleic acid from a clinical specimen is dependent on the specimen's volume, the initial virus concentration and the effectiveness provided by the extraction method. Recent Next Generation Sequencing (NGS)-based diagnostic approaches (i.e. metagenomics) provide a molecular 'open view' into the sample, as they theoretically generate sequence reads of any nucleic acid present in a specimen in a statistically representative manner. However, since a higher virus-related read output promises better sensitivity in the subsequent bioinformatic analysis, the extraction method selected determines the reliability of diagnostic NGS. In this study nine commercially available kits for nucleic acid extraction were compared regarding the simultaneous isolation of DNA and RNA by real-time PCR,four of which were selected for subsequent comparison by NGS (QIAamp Viral RNA Mini Kit, QIAamp DNA Blood Mini Kit, QIAamp cador Pathogen Mini Kit and QIAamp MinElute Virus Spin Kit). The nucleic acid yields and the sequence read output were compared for four different model viruses comprising Reovirus, Orthomyxovirus, Orthopoxvirus and Paramyxovirus, each at defined but varying concentrations in the same sample. The total amount of nucleic acid was processed to sequence the RNA (as cDNA) and the DNA with quantification by Qubit and virus-specific quantitative real-time PCRs. NGS libraries were prepared for sequencing on the Illumina HiSeq 1500 system. Finally, the percentage of reads assignable to each virus was determined via mapping. Evaluation of different commercial nucleic acid extraction kits with four different viruses indicates little variation in the read numbers obtained for transcribed RNA or DNA by NGS. Since NGSis increasingly being used as a tool in diagnostics of infectious diseases, the individual steps of the complete process have to be validated carefully. Here we could show that for virus identification in liquid clinical specimens, any nucleic acid extraction kit that is performing well for PCR diagnostics can be used for NGS diagnostics as well and that the selection of the kit has only a minor impact on the yield of viral reads.

Limited susceptibility of rhesus macaques to a cowpox virus isolated from a lethal outbreak among New World monkeys.

This study was undertaken to investigate the susceptibility of rhesus monkeys to the calpox virus, an orthopoxvirus (OPXV) of the Cowpox virus species (CPXV), which is uniformly lethal in common marmosets. Six rhesus monkeys were either intravenously (i.v.) or intranasally (i.n.) exposed to the virus. Monitoring of the macaques after viral exposure included physical examinations, the determination of viral load by real-time PCR and plaque assay, and the analysis of humoral responses. Two i.v. inoculated animals developed numerous classical pox lesions that started after inoculation at days 7 and 10. Both animals became viremic and seroconverted. They exhibited maximal numbers of lesions of approximately 50 and 140 by day 21. One animal completely recovered, while the other one suffered from a phlegmonous inflammation of a leg initially induced by a secondarily infected pox lesion and was euthanized for animal welfare reasons. In contrast to previous pathogenicity studies with the calpox virus in marmosets, none of the four animals inoculated intranasally with doses of the calpox virus exceeding those used in marmosets by orders of magnitude showed typical clinical symptoms. No viral DNA was detectable in the blood of those animals, but three animals seroconverted. In two of these three animals, infectious virus was sporadically isolated from saliva. This indicates that rhesus monkeys are less susceptible to calpox virus infection, which limits their use in further intervention studies with OPXV.