کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3427860 1594336 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Characterization of codon usage pattern and influencing factors in Japanese encephalitis virus
ترجمه فارسی عنوان
خصوصیات الگوی مصرف کدون و عوامل موثر در ویروس آنسفالیت ژاپنی
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ویروس شناسی
چکیده انگلیسی


• Low codon usage bias was observed in various geographical isolates of Japanese Encephalitis Virus (JEV).
• The low codon usage bias of JEV may allow it to replicate more efficiently in the host.
• Both Natural selection and mutational pressure influenced the codon usage patterns in JEV.
• Relative dinucleotide frequencies and geographical distribution influenced the codon usage pattern to some extent.

Recently, several outbreaks of Japanese encephalitis (JE), caused by Japanese encephalitis virus (JEV), have been reported and it has become cause of concern across the world. In this study, detailed analysis of JEV codon usage pattern was performed. The relative synonymous codon usage (RSCU) values along with mean effective number of codons (ENC) value of 55.30 indicated the presence of low codon usages bias in JEV. The effect of mutational pressure on codon usage bias was confirmed by significant correlations of A3s, U3s, G3s, C3s, GC3s, ENC values, with overall nucleotide contents (A%, U%, G%, C%, and GC%). The correlation analysis of A3s, U3s, G3s, C3s, GC3s, with axis values of correspondence analysis (CoA) further confirmed the role of mutational pressure. However, the correlation analysis of Gravy values and Aroma values with A3s, U3s, G3s, C3s, and GC3s, indicated the presence of natural selection on codon usage bias in addition to mutational pressure. The natural selection was further confirmed by codon adaptation index (CAI) analysis. Additionally, relative dinucleotide frequencies, geographical distribution, and evolutionary processes also influenced the codon usage pattern to some extent.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Virus Research - Volume 221, 2 August 2016, Pages 58–65
نویسندگان
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