Title: Codon Usage Biases in Alzheimers Disease and Other Neurodegenerative Diseases
Volume: 17
Issue: 5
Author(s): Jie Yang, Tong-Yang Zhu, Zheng-Xin Jiang, Cheng Chen, Yue-Lan Wang, Song Zhang, Xiong-Fei Jiang, Ting-Ting Wang, Lin Wang, Wen-Hao Xia, Lei Li, Ji-Jun Chen, Jia-Yue Wang, Wei-Wei Wang and Wei-Juan Zheng
Affiliation:
Keywords:
Codon usage, compositional constraints, translational selection, correspondence analysis
Abstract: Establishing codon usage biases are crucial for understanding the etiology of central nervous system neurodegenerative diseases (CNSNDD) especially Alzheimers disease (AD) as well as genetic factors. G and C ending codons are strongly biased in the coding sequences of these proteins as a result of genomic GC composition constraints. On the other hand, codons that identified as translationally optimal in the major trend all end in C or G, suggesting translational selection should also be taken into consideration additional to compositional constraints. Furthermore, this investigation reveals that three common codons, CGC (Arg), AGC (Ser), and GGC (Gly), are also critical in affecting codon usage bias. They not only can offer an insight into the codon usage bias of AD and its mechanism, but also may help in the possible cures for these diseases.
