نتایج جستجو برای: codon usage bias

تعداد نتایج: 222798  

Journal: :The EMBO journal 2014
Dominique Chu Eleanna Kazana Noémie Bellanger Tarun Singh Mick F Tuite Tobias von der Haar

Synonymous codons encode the same amino acid, but differ in other biophysical properties. The evolutionary selection of codons whose properties are optimal for a cell generates the phenomenon of codon bias. Although recent studies have shown strong effects of codon usage changes on protein expression levels and cellular physiology, no translational control mechanism is known that links codon us...

Journal: :iranian journal of cancer prevention 0
gholamreza motalleb faculty of science, dept. of biology, university of zabol, zabol, iran

background: epstein-barr virus (ebv) has a great co relationship with human malignancies such as gastric carcinoma. synonymous codon investigations in viruses could help designing vaccine, to generate immunity. codon adaptation index (cai) has measured translation elongation rate, among the highly expressed genes. the aim of this study was: usage of “cai” to measure translation efficiency to kn...

2013
Chen Xu Jing Dong Chunfa Tong Xindong Gong Qiang Wen Qiang Zhuge

We used large samples of expressed sequence tags to characterize the patterns of codon usage bias (CUB) in seven different Citrus species and to analyze their evolutionary effect on selection and base composition. We found that A- and T-ending codons are predominant in Citrus species. Next, we identified 21 codons for 18 different amino acids that were considered preferred codons in all seven s...

2012
Wenqi Ran Paul G. Higgs

Among bacteria, we have previously shown that species that are capable of rapid growth have stronger selection on codon usage than slow growing species, and possess higher numbers of rRNA and tRNA genes. This suggests that fast-growers are adapted for fast protein synthesis. There is also considerable evidence that codon usage is influenced by accuracy of translation, and some authors have argu...

Journal: :Biodiversitas Journal of Biological Diversity 2020

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