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TITLE:
An Unsupervised Algorithm for Host Identification in Flaviviruses - imarina:9216859

URV's Author/s:Garcia Vallve, Santiago
Author, as appears in the article.:Phuoc Truong Nguyen; Garcia-Valle, Santiago; Puigbo, Pere;
Author's mail:santi.garcia-vallve@urv.cat
Author identifier:0000-0002-0348-7497
Journal publication year:2021
Publication Type:Journal Publications
APA:Phuoc Truong Nguyen; Garcia-Valle, Santiago; Puigbo, Pere; (2021). An Unsupervised Algorithm for Host Identification in Flaviviruses. Life, 11(5), -. DOI: 10.3390/life11050442
Papper original source:Life. 11 (5):
Abstract:Early characterization of emerging viruses is essential to control their spread, such as the Zika Virus outbreak in 2014. Among other non-viral factors, host information is essential for the surveillance and control of virus spread. Flaviviruses (genus Flavivirus), akin to other viruses, are modulated by high mutation rates and selective forces to adapt their codon usage to that of their hosts. However, a major challenge is the identification of potential hosts for novel viruses. Usually, potential hosts of emerging zoonotic viruses are identified after several confirmed cases. This is inefficient for deterring future outbreaks. In this paper, we introduce an algorithm to identify the host range of a virus from its raw genome sequences. The proposed strategy relies on comparing codon usage frequencies across viruses and hosts, by means of a normalized Codon Adaptation Index (CAI). We have tested our algorithm on 94 flaviviruses and 16 potential hosts. This novel method is able to distinguish between arthropod and vertebrate hosts for several flaviviruses with high values of accuracy (virus group 91.9% and host type 86.1%) and specificity (virus group 94.9% and host type 79.6%), in comparison to empirical observations. Overall, this algorithm may be useful as a complementary tool to current phylogenetic methods in monitoring current and future viral outbreaks by understanding host-virus relationships.
Article's DOI:10.3390/life11050442
Link to the original source:https://www.mdpi.com/2075-1729/11/5/442
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Bioquímica i Biotecnologia
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Space and planetary science
Paleontology
General biochemistry,genetics and molecular biology
Ecology, evolution, behavior and systematics
Biology
Biochemistry, genetics and molecular biology (miscellaneous)
Biochemistry, genetics and molecular biology (all)
Keywords:Virus
Host identification
Genus
Flavivirus
Codon usage bias
Codon adaptation index
Algorithm
Adaptation
Entity:Universitat Rovira i Virgili
Record's date:2024-07-27
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