Unknown

Dataset Information

0

Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.


ABSTRACT: RNA viruses rapidly mutate, which can result in increased virulence, increased escape from vaccine protection, and false-negative detection results. Targeted detection methods have a limited ability to detect unknown viruses and often provide insufficient data to detect coinfections or identify antigenic variants. Random, deep sequencing is a method that can more fully detect and characterize RNA viruses and is often coupled with molecular techniques or culture methods for viral enrichment. We tested viral culture coupled with third-generation sequencing for the ability to detect and characterize RNA viruses. Cultures of bovine viral diarrhea virus, canine distemper virus (CDV), epizootic hemorrhagic disease virus, infectious bronchitis virus, 2 influenza A viruses, and porcine respiratory and reproductive syndrome virus were sequenced on the MinION platform using a random, reverse primer in a strand-switching reaction, coupled with PCR-based barcoding. Reads were taxonomically classified and used for reference-based sequence building using a stock personal computer. This method accurately detected and identified complete coding sequence genomes with a minimum of 20× coverage depth for all 7 viruses, including a sample containing 2 viruses. Each lineage-typing region had at least 26× coverage depth for all viruses. Furthermore, analyzing the CDV sample through a pipeline devoid of CDV reference sequences modeled the ability of this protocol to detect unknown viruses. Our results show the ability of this technique to detect and characterize dsRNA, negative- and positive-sense ssRNA, and nonsegmented and segmented RNA viruses.

SUBMITTER: Young KT 

PROVIDER: S-EPMC7953086 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Randomly primed, strand-switching, MinION-based sequencing for the detection and characterization of cultured RNA viruses.

Young Kelsey T KT   Lahmers Kevin K KK   Sellers Holly S HS   Stallknecht David E DE   Poulson Rebecca L RL   Saliki Jerry T JT   Tompkins Stephen Mark SM   Padykula Ian I   Siepker Chris C   Howerth Elizabeth W EW   Todd Michelle M   Stanton James B JB  

Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc 20201224 2


RNA viruses rapidly mutate, which can result in increased virulence, increased escape from vaccine protection, and false-negative detection results. Targeted detection methods have a limited ability to detect unknown viruses and often provide insufficient data to detect coinfections or identify antigenic variants. Random, deep sequencing is a method that can more fully detect and characterize RNA viruses and is often coupled with molecular techniques or culture methods for viral enrichment. We t  ...[more]

Similar Datasets

| S-EPMC6950593 | biostudies-literature
| S-EPMC11658833 | biostudies-literature
| S-EPMC7468549 | biostudies-literature
| S-EPMC3787269 | biostudies-literature
| S-EPMC3993539 | biostudies-literature
| S-EPMC333583 | biostudies-other
| S-EPMC4701100 | biostudies-literature
| S-EPMC4113795 | biostudies-literature
| S-EPMC4982148 | biostudies-literature
| S-EPMC7239435 | biostudies-literature