Researchers
studying the viruses that affect agricultural production or human health now
have a new tool for investigating where viruses have spread, on a local,
national, or even global scale.
VirusDetect
is a free, open-source bioinformatics pipeline that can efficiently analyze
small RNA (sRNA) datasets to identify both known and novel viruses. Boyce
Thompson Institute (BTI) Associate Professor Zhangjun Fei and colleagues
present this pipeline in a recent paper in Virology.
"We
choose this small RNA sequencing technology because it is a highly efficient
technology for virus identification and discovery," said Fei.
"VirusDetect is the first bioinformatics tool that is specifically
designed to analyze this kind of data for virus detection."
There
are many ways to detect a virus. Traditional methods use microscopes,
antibodies or molecular techniques that detect specific sequences of viral
genetic material -- all techniques that are not highly efficient, especially in
detecting novel viruses. With newer sequencing technology, researchers can
sequence viral DNA or RNA along with the host material, but this approach
requires expensive, deep sequencing, and early, low-level infections can be
easily missed.
VirusDetect
takes advantage of an antiviral defense system shared by both plants and
animals called RNA interference (RNAi). When a plant or animal cell is invaded
by a virus, the cell churns out numerous small RNAs that are just 21-24
nucleotides long. By sequencing these small RNAs and feeding the dataset into
the VirusDetect pipeline, scientists can predict the presence of RNA viruses,
DNA viruses and viroids.
Fei's
lab used this tool to create a Pan-African sweet potato virome, which describes
all the viruses affecting sweet potatoes in multiple locations throughout
Sub-Saharan Africa. With more than 1,000 field samples, the researchers
couldn't process this much data manually and needed a high-throughput pipeline
to identify the known and unknown viruses.
For
further details see:
Posted by Dr. Tim Sandle
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