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VirusRecom: an information-theory-based method for recombination detection of viral lineages and its application on SARS-CoV-2.
- Source :
- Briefings in Bioinformatics; Jan2023, Vol. 24 Issue 1, p1-13, 13p
- Publication Year :
- 2023
-
Abstract
- Genomic recombination is an important driving force for viral evolution, and recombination events have been reported for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the Coronavirus Disease 2019 pandemic, which significantly alter viral infectivity and transmissibility. However, it is difficult to identify viral recombination, especially for low-divergence viruses such as SARS-CoV-2, since it is hard to distinguish recombination from in situ mutation. Herein, we applied information theory to viral recombination analysis and developed VirusRecom, a program for efficiently screening recombination events on viral genome. In principle, we considered a recombination event as a transmission process of ''information'' and introduced weighted information content (WIC) to quantify the contribution of recombination to a certain region on viral genome; then, we identified the recombination regions by comparing WICs of different regions. In the benchmark using simulated data, VirusRecom showed a good balance between precision and recall compared to two competing tools, RDP5 and 3SEQ. In the detection of SARS-CoV-2 XE, XD and XF recombinants, VirusRecom providing more accurate positions of recombination regions than RDP5 and 3SEQ. In addition, we encapsulated the VirusRecom program into a command-line-interface software for convenient operation by users. In summary, we developed a novel approach based on information theory to identify viral recombination within highly similar sequences, providing a useful tool for monitoring viral evolution and epidemic control. [ABSTRACT FROM AUTHOR]
- Subjects :
- SARS-CoV-2
INFORMATION theory
COVID-19 pandemic
PLANT viruses
Subjects
Details
- Language :
- English
- ISSN :
- 14675463
- Volume :
- 24
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Briefings in Bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- 161419774
- Full Text :
- https://doi.org/10.1093/bib/bbac513