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1.
Sci Rep ; 9(1): 3398, 2019 03 04.
Article in English | MEDLINE | ID: mdl-30833612

ABSTRACT

Identification and characterization of novel unknown viruses is of great importance. The introduction of high-throughput sequencing (HTS)-based methods has paved the way for genomics-based detection of pathogens without any prior assumptions about the characteristics of the organisms. However, the use of HTS for the characterization of viral pathogens from clinical samples remains limited. Here, we report the identification of a novel Orthobunyavirus species isolated from horse plasma. The identification was based on a straightforward HTS approach. Following enrichment in cell culture, RNA was extracted from the growth medium and rapid library preparation, HTS and primary bioinformatic analyses were performed in less than 12 hours. Taxonomical profiling of the sequencing reads did not reveal sequence similarities to any known virus. Subsequent application of de novo assembly tools to the sequencing reads produced contigs, of which three showed some similarity to the L, M, and S segments of viruses belonging to the Orthobunyavirus genus. Further refinement of these contigs resulted in high-quality, full-length genomic sequences of the three genomic segments (L, M and S) of a novel Orthobunyavirus. Characterization of the genomic sequence, including the prediction of open reading frames and the inspection of consensus genomic termini and phylogenetic analysis, further confirmed that the novel virus is indeed a new species, which we named Ness Ziona virus.


Subject(s)
High-Throughput Nucleotide Sequencing/methods , Orthobunyavirus/genetics , Genome, Viral/genetics , Open Reading Frames/genetics , Phylogeny , RNA, Viral/genetics
2.
Biologicals ; 48: 24-27, 2017 Jul.
Article in English | MEDLINE | ID: mdl-28633975

ABSTRACT

Assuring viral safety of horse plasma-derived products is fundamental for ethical and regulatory reasons. We previously demonstrated the ability of pepsin digestion at low pH to inactivate West Nile and Sindbis viruses in horse plasma. The present study further examined the efficiency of pepsin digestion to inactivate four additional viruses: HSV-1 and BVDV (lipid-enveloped), BPV and Reo-3 (nonenveloped). These viruses were spiked into hyperimmunized horse plasma against botulinum toxin and subjected to low pH (3.2) alone or combined with pepsin digestion (1200 units/ml). Peptic digestion inactivated the lipid-enveloped viruses, whereas the nonenveloped viruses were unaffected. Interestingly, HSV-1 was rapidly inactivated by acidic pH alone (≥4.9 ± 0.6 log10), whereas a non-robust but meaningful BVDV inactivation (2.9 ± 0.7 log10) was achieved by combined low pH and pepsin. The current study demonstrated the ability of low pH alone and in combination with pepsin digestion to inactivate enveloped viral contaminants in anti-toxin horse plasma.


Subject(s)
Botulinum Antitoxin/chemistry , Diarrhea Viruses, Bovine Viral , Drug Contamination/prevention & control , Herpesvirus 1, Human , Pepsin A/chemistry , Plasma/chemistry , Virus Inactivation , Animals , Botulinum Antitoxin/immunology , Horses , Hydrogen-Ion Concentration , Plasma/immunology , Plasma/virology
3.
Sci Rep ; 7: 42012, 2017 02 09.
Article in English | MEDLINE | ID: mdl-28181554

ABSTRACT

Understanding the dynamics of pathogen spread within urban areas is critical for the effective prevention and containment of communicable diseases. At these relatively small geographic scales, short-distance interactions and tightly knit sub-networks dominate the dynamics of pathogen transmission; yet, the effective boundaries of these micro-scale groups are generally not known and often ignored. Using clinical test results from hospital admitted patients we analyze the spatio-temporal distribution of Influenza Like Illness (ILI) in the city of Jerusalem over a period of three winter seasons. We demonstrate that this urban area is not a single, perfectly mixed ecology, but is in fact comprised of a set of more basic, relatively independent pathogen transmission units, which we term here Local Transmission Zones, LTZs. By identifying these LTZs, and using the dynamic pathogen-content information contained within them, we are able to differentiate between disease-causes at the individual patient level often with near-perfect predictive accuracy.


Subject(s)
Influenza, Human/epidemiology , Models, Statistical , Respiratory Syncytial Virus Infections/epidemiology , Cities , Humans , Influenza, Human/transmission , Residence Characteristics , Respiratory Syncytial Virus Infections/transmission , Seasons
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