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      Codon Usage Bias Analysis of Bluetongue Virus Causing Livestock Infection

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          Abstract

          Bluetongue virus (BTV) is a double-stranded RNA virus with multiple segments and belongs to the genus Orbivirus within the family Reoviridae. BTV is spread to livestock through its dominant vector, biting midges of genus Culicoides. Although great progress has been made in genomic analyses, it is not fully understood how BTVs adapt to their hosts and evade the host’s immune systems. In this study, we retrieved BTV genome sequences from the National Center for Biotechnology Information (NCBI) database and performed a comprehensive research to explore the codon usage patterns in 50 BTV strains. We used bioinformatic approaches to calculate the relative synonymous codon usage (RSCU), codon adaptation index (CAI), effective number of codons (ENC), and other indices. The results indicated that most of the overpreferred codons had A-endings, which revealed that mutational pressure was the major force shaping codon usage patterns in BTV. However, the influence of natural selection and geographical factors cannot be ignored on viral codon usage bias. Based on the RSCU values, we performed a comparative analysis between BTVs and their hosts, suggesting that BTVs were inclined to evolve their codon usage patterns that were comparable to those of their hosts. Such findings will be conducive to understanding the elements that contribute to viral evolution and adaptation to hosts.

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          Most cited references52

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          Codon usage and tRNA content in unicellular and multicellular organisms.

          T Ikemura (1985)
          Choices of synonymous codons in unicellular organisms are here reviewed, and differences in synonymous codon usages between Escherichia coli and the yeast Saccharomyces cerevisiae are attributed to differences in the actual populations of isoaccepting tRNAs. There exists a strong positive correlation between codon usage and tRNA content in both organisms, and the extent of this correlation relates to the protein production levels of individual genes. Codon-choice patterns are believed to have been well conserved during the course of evolution. Examination of silent substitutions and tRNA populations in Enterobacteriaceae revealed that the evolutionary constraint imposed by tRNA content on codon usage decelerated rather than accelerated the silent-substitution rate, at least insofar as pairs of taxonomically related organisms were examined. Codon-choice patterns of multicellular organisms are briefly reviewed, and diversity in G+C percentage at the third position of codons in vertebrate genes--as well as a possible causative factor in the production of this diversity--is discussed.
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            The extent of codon usage bias in human RNA viruses and its evolutionary origin.

            Revealing the determinants of codon usage bias is central to the understanding of factors governing viral evolution. Herein, we report the results of a survey of codon usage bias in a wide range of genetically and ecologically diverse human RNA viruses. This analysis showed that the overall extent of codon usage bias in RNA viruses is low and that there is little variation in bias between genes. Furthermore, the strong correlation between base and dinucleotide composition and codon usage bias suggested that mutation pressure rather than natural (translational) selection is the most important determinant of the codon bias observed. However, we also detected correlations between codon usage bias and some characteristics of viral genome structure and ecology, with increased bias in segmented and aerosol-transmitted viruses and decreased bias in vector-borne viruses. This suggests that translational selection may also have some influence in shaping codon usage bias.
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              Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes.

              T Ikemura (1981)
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                19 May 2020
                2020
                : 11
                : 655
                Affiliations
                [1] 1State Key Laboratory of Crop Stress Biology in Arid Areas, College of Life Sciences, Northwest A&F University , Yangling, China
                [2] 2College of Veterinary Medicine, Northwest A&F University , Yangling, China
                [3] 3China Animal Health and Epidemiology Center , Qingdao, China
                [4] 4Department of Computer Science and Bioinformatics, Khushal Khan Khattak University , Karak, Pakistan
                Author notes

                Edited by: Akio Adachi, Kansai Medical University, Japan

                Reviewed by: David John Pascall, University of Glasgow, United Kingdom; Basavaraj S. Mathapati, Indian Council of Medical Research (ICMR), India; Antoinette Van Schalkwyk, Agricultural Research Council of South Africa (ARC-SA), South Africa

                *Correspondence: Dekun Chen, chendekun163@ 123456163.com

                These authors have contributed equally to this work

                This article was submitted to Virology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2020.00655
                7248248
                32508755
                64e3ff4e-3c98-47e2-9aab-226e9d07616f
                Copyright © 2020 Yao, Fan, Yao, Lu, Rahman, Chen and Tao.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 08 January 2020
                : 23 March 2020
                Page count
                Figures: 5, Tables: 4, Equations: 3, References: 63, Pages: 12, Words: 0
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                bluetongue virus,reoviridae,culicoides,nucleotide composition,codon usage bias,evolution

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