Abstract

BackgroundMosquito-borne infectious diseases pose a severe threat to public health in many areas of the world. Current methods for pathogen detection and surveillance are usually dependent on prior knowledge of the etiologic agents involved. Hence, efficient approaches are required for screening wild mosquito populations to detect known and unknown pathogens.Methodology/principal findingsIn this study, we explored the use of Next Generation Sequencing to identify viral agents in wild-caught mosquitoes. We extracted total RNA from different mosquito species from South China. Small 18–30 bp length RNA molecules were purified, reverse-transcribed into cDNA and sequenced using Illumina GAIIx instrumentation. Bioinformatic analyses to identify putative viral agents were conducted and the results confirmed by PCR. We identified a non-enveloped single-stranded DNA densovirus in the wild-caught Culex pipiens molestus mosquitoes. The majority of the viral transcripts (.>80% of the region) were covered by the small viral RNAs, with a few peaks of very high coverage obtained. The +/− strand sequence ratio of the small RNAs was approximately 7∶1, indicating that the molecules were mainly derived from the viral RNA transcripts. The small viral RNAs overlapped, enabling contig assembly of the viral genome sequence. We identified some small RNAs in the reverse repeat regions of the viral 5′- and 3′ -untranslated regions where no transcripts were expected.Conclusions/significanceOur results demonstrate for the first time that high throughput sequencing of small RNA is feasible for identifying viral agents in wild-caught mosquitoes. Our results show that it is possible to detect DNA viruses by sequencing the small RNAs obtained from insects, although the underlying mechanism of small viral RNA biogenesis is unclear. Our data and those of other researchers show that high throughput small RNA sequencing can be used for pathogen surveillance in wild mosquito vectors.

Highlights

  • Emerging infectious diseases (EIDs) have exerted a significant burden on public health and global economies [1,2]

  • Preliminary results revealed that a large number of unique sequences in the Culex pipiens molestus sample shared identity with three other viruses, namely Aedes albopictus Parvovirus (GenBank Accession: X74945), Anopheles gambiae densonucleosis virus (GenBank Accession: EU233812), and Aedes aegypti densovirus strain 0814616 (GenBank Accession: FJ360744)

  • Further analysis demonstrated that the matched A. albopictus Parvovirus sequences were present in the A. gambiae densonucleosis virus genome and the A. aegypti densovirus strain 0814616 genome

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Summary

Introduction

Emerging infectious diseases (EIDs) have exerted a significant burden on public health and global economies [1,2]. Novel viruses, those causing severe acute respiratory syndrome (SARS) and avian influenza A H5N1, have attracted international concern. These diseases represent only part of a rich tapestry of pathogens that have emerged to pose public health threats in recent years. The development of Generation Sequencing (high throughput sequencing) technology provides a possible solution to this problem; several recent studies have used these techniques to identify novel viral agents [3,4,5,6,7]. Mosquito-borne infectious diseases pose a severe threat to public health in many areas of the world. Efficient approaches are required for screening wild mosquito populations to detect known and unknown pathogens

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