Indel-K2P: a modified Kimura 2 Parameters (K2P) model to incorporate insertion and deletion (Indel) information in phylogenetic analysis

Q2 Engineering
Asim Kumar Mahadani, Shashank Awasthi, G. Sanyal, P. Bhattacharjee, S. Pippal
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引用次数: 22

Abstract

ABSTRACT Evolutionary models are widely used to estimate the evolutionary relationship between the various biological taxa . Majority of the existing evolutionary models ignore insertion and deletion (indel) event, which reduces the computational difficulties, but at the same time, it causes loss of valuable phylogenetic information. In this study, we have developed a modified Kimura 2 parameters (K2P) model to utilise the indel information in phylogenetic tree construction especially in case of low substitution rate sequences Indel rich highly similar DNA sequences (trnL-trnF intergenic spacer region) of Phalaenopsis were collected from Genbank and to test the efficiency of the model in phylogenetic. Our developed Indel-K2P model and K2P model were implemented in MATLAB and calculated the bootstrap value and Robinson-Foulds (RF) distance to test the confidence and accuracy of phylogenetic tree topology. The phylogenetic trees constructed within the framework of Indel-K2P model, exhibited 92.66% accuracy and 40.9% root node confidence while the K2P model without indel shows less accuracy and less root node confidence. Our results indicate that modified Kimura 2 parameters with indel (Indel-K2P) model performed better than Kimura 2 Parameters (K2P) in phylogenetic tree construction for indel rich DNA sequences.
Indel-K2P:一种改良的Kimura 2参数(K2P)模型,用于系统发育分析中包含插入和删除(Indel)信息
进化模型被广泛用于估计不同生物类群之间的进化关系。现有的大多数进化模型都忽略了插入和删除(indel)事件,这降低了计算难度,但同时也造成了宝贵的系统发育信息的丢失。在本研究中,我们建立了一个改良的Kimura 2参数(K2P)模型,以利用indel信息构建系统发育树,特别是在低替代率序列的情况下,利用从Genbank中收集的蝴蝶兰丰富的高度相似的DNA序列(trnL-trnF基因间隔区),并测试该模型在系统发育中的效率。在MATLAB中实现了我们开发的Indel-K2P模型和K2P模型,并计算了bootstrap值和Robinson-Foulds (RF)距离,以测试系统发育树拓扑结构的置信度和准确性。在indel -K2P模型框架内构建的系统发育树准确率为92.66%,根节点置信度为40.9%,而不含indel的K2P模型准确率较低,根节点置信度较低。结果表明,用indel (indel -K2P)模型构建的Kimura 2参数比用Kimura 2参数(K2P)构建indel富DNA序列的系统发育树效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cyber-Physical Systems
Cyber-Physical Systems Engineering-Computational Mechanics
CiteScore
3.10
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