Analysis of codon usage patterns and influencing factors in rice tungro bacilliform virus.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
06 2021
Historique:
received: 11 11 2020
revised: 08 01 2021
accepted: 29 01 2021
pubmed: 7 2 2021
medline: 12 1 2022
entrez: 6 2 2021
Statut: ppublish

Résumé

Rice tungro bacilliform virus (RTBV) belongs to genus Tungrovirus within the family Caulimoviridae harbors circular double-stranded DNA (dsDNA). Rice tungro disease (RTD) caused by RTBV, responsible for severe rice yield losses in South and Southeast Asia. Here, we performed a systematic evolutionary and codon usage bias (CUB) analysis of RTBV genome sequences. We analysed different bioinformatics techniques to calculate the nucleotide compositions, the relative synonymous codon usage (RSCU), and other indices. The results indicated slightly or low codon usage bias in RTBV isolates. Mutation and natural selection pressures have equally contributed to this low codon usage bias. Additionally, multiple factors such as host, geographical distribution also affect codon usage patterns in RTBV genomes. RSCU analysis revealed that RTBV shows mutation bias and prefers A and U ended codons to code amino acids. Codon usage patterns of RTBV were also found to be influenced by its host. This indicates that RTBV have evolved codon usage patterns that are specific to its host. The findings from this study are expected to increase our understanding of factors leading to viral evolution and fitness with respect to hosts and the environment.

Identifiants

pubmed: 33548490
pii: S1567-1348(21)00047-2
doi: 10.1016/j.meegid.2021.104750
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104750

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Thi Hung Nguyen (TH)

College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China; Department of Genetic Engineering, Agricultural Genetics Institute, Tuliem, Hanoi 100000, Viet Nam.

Dong Wang (D)

China animal health and epidemiology center, Qingdao, Shandong, China.

Siddiq Ur Rahman (SU)

College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China; Department of Computer Science and Bioinformatics, Khushal Khan Khattak university, Karak, Khyber Pakhtunkhwa 27200, Pakistan.

Haoxiang Bai (H)

College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China.

Xiaoting Yao (X)

College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi 712100, China.

Dekun Chen (D)

College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi 712100, China. Electronic address: chendekun163@163.com.

Shiheng Tao (S)

College of Life Sciences and State Key Laboratory of Crop Stress Biology in Arid Areas, Northwest A&F University, Yangling, Shaanxi 712100, China. Electronic address: shihengt@nwsuaf.edu.cn.

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Classifications MeSH