Evolutionary Analysis of Voltage-Gated Potassium Channels by Bayes Method

被引:0
作者
Qi Huang
Yuan Wu
Xing Wei
Wenwu He
Xixia Liu
Jiemei Ye
机构
[1] Guangxi Medical University,Department of Neurology, First Affiliated Hospital
[2] Guangxi Medical University,Department of Cardiothoracic surgery, First Affiliated Hospital
来源
Journal of Molecular Neuroscience | 2014年 / 53卷
关键词
VGPC; Bayes method; Epilepsy; Arrhythmia; Neuromuscular disease;
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中图分类号
学科分类号
摘要
Voltage-gated potassium channels (VGPCs) are among the most complex families of ion channels. VGPCs are distributed widely among species but their biological roles remain unclear. In this study, the evolution of VGPCs and the functions of ancestral families are determined according to phylogenetic studies. We downloaded 127 genomic data of alpha subunits and 38 genomic data of beta subunits including those from human, rat, mice, Drosophila and Puccinellia tenuiflora. The genetic neighborhood of subfamily genes was determined by neighbor-joining, minimum evolution, maximum parsimony, and Bayes methods. Data was presented as phylogenetic trees. We also detected positive selection sites by site model. New insights into the evolutionary history of the VGPC family are provided. Our assumptions are as follows: (a) KCNH subfamily is likely the most original subfamily in alpha subunit; (b) VGPCs are related to neural and cardiac systems at the earliest time; (c) KCNA4 and KCNF1 may be as ancestors; (d) abnormality in one gene may cause both cardiac and neural diseases; and (e) abnormalities in KCNH6 and KCNQ7 are more likely to cause cardiac diseases.
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页码:41 / 49
页数:8
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