VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs

Accurate detection of viruses in plants and animals is critical for agriculture production and human health. Deep sequencing and assembly of virus-derived small interfering RNAs has proven to be a highly efficient approach for virus discovery. Here we present VirusDetect, a bioinformatics pipeline t...

Full description

Bibliographic Details
Main Authors: Yi Zheng, Shan Gao, Padmanabhan, C., Li, R., Galvez, M., Gutiérrez, D., Fuentes, S., Kai-Shu Ling, Kreuze, Jan F., Zhangjun Fei
Format: Journal Article
Language:Inglés
Published: Elsevier 2017
Subjects:
Online Access:https://hdl.handle.net/10568/80028
_version_ 1855539288578457600
author Yi Zheng
Shan Gao
Padmanabhan, C.
Li, R.
Galvez, M.
Gutiérrez, D.
Fuentes, S.
Kai-Shu Ling
Kreuze, Jan F.
Zhangjun Fei
author_browse Fuentes, S.
Galvez, M.
Gutiérrez, D.
Kai-Shu Ling
Kreuze, Jan F.
Li, R.
Padmanabhan, C.
Shan Gao
Yi Zheng
Zhangjun Fei
author_facet Yi Zheng
Shan Gao
Padmanabhan, C.
Li, R.
Galvez, M.
Gutiérrez, D.
Fuentes, S.
Kai-Shu Ling
Kreuze, Jan F.
Zhangjun Fei
author_sort Yi Zheng
collection Repository of Agricultural Research Outputs (CGSpace)
description Accurate detection of viruses in plants and animals is critical for agriculture production and human health. Deep sequencing and assembly of virus-derived small interfering RNAs has proven to be a highly efficient approach for virus discovery. Here we present VirusDetect, a bioinformatics pipeline that can efficiently analyze largescale small RNA (sRNA) datasets for both known and novel virus identification. VirusDetect performs both reference-guided assemblies through aligning sRNA sequences to a curated virus reference database and de novo assemblies of sRNA sequences with automated parameter optimization and the option of host sRNA subtraction. The assembled contigs are compared to a curated and classified reference virus database for known and novel virus identification, and evaluated for their sRNA size profiles to identify novel viruses. Extensive evaluations using plant and insect sRNA datasets suggest that VirusDetect is highly sensitive and efficient in identifying known and novel viruses.
format Journal Article
id CGSpace80028
institution CGIAR Consortium
language Inglés
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace800282024-11-15T08:53:04Z VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs Yi Zheng Shan Gao Padmanabhan, C. Li, R. Galvez, M. Gutiérrez, D. Fuentes, S. Kai-Shu Ling Kreuze, Jan F. Zhangjun Fei virus indexing rna rna sequence research Accurate detection of viruses in plants and animals is critical for agriculture production and human health. Deep sequencing and assembly of virus-derived small interfering RNAs has proven to be a highly efficient approach for virus discovery. Here we present VirusDetect, a bioinformatics pipeline that can efficiently analyze largescale small RNA (sRNA) datasets for both known and novel virus identification. VirusDetect performs both reference-guided assemblies through aligning sRNA sequences to a curated virus reference database and de novo assemblies of sRNA sequences with automated parameter optimization and the option of host sRNA subtraction. The assembled contigs are compared to a curated and classified reference virus database for known and novel virus identification, and evaluated for their sRNA size profiles to identify novel viruses. Extensive evaluations using plant and insect sRNA datasets suggest that VirusDetect is highly sensitive and efficient in identifying known and novel viruses. 2017-01-01 2017-02-28T13:35:50Z 2017-02-28T13:35:50Z Journal Article https://hdl.handle.net/10568/80028 en Open Access Elsevier Zheng, Y.; Gaoa, S.; Padmanabhan, C.; Li, R.; Galvez, M.; Gutierrez, D.; Fuentes, S.; Ling, K.S.; Kreuze, J.; Fei, Z. 2017. VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs. Virology. (USA). ISSN 0042-6822. 500:130-138.
spellingShingle virus indexing
rna
rna sequence
research
Yi Zheng
Shan Gao
Padmanabhan, C.
Li, R.
Galvez, M.
Gutiérrez, D.
Fuentes, S.
Kai-Shu Ling
Kreuze, Jan F.
Zhangjun Fei
VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title_full VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title_fullStr VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title_full_unstemmed VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title_short VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs
title_sort virusdetect an automated pipeline for efficient virus discovery using deep sequencing of small rnas
topic virus indexing
rna
rna sequence
research
url https://hdl.handle.net/10568/80028
work_keys_str_mv AT yizheng virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT shangao virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT padmanabhanc virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT lir virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT galvezm virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT gutierrezd virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT fuentess virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT kaishuling virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT kreuzejanf virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas
AT zhangjunfei virusdetectanautomatedpipelineforefficientvirusdiscoveryusingdeepsequencingofsmallrnas