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Discrimination of Species with Disorder of DNA Sequences and its Application to Evolution in Introns

Discrimination of Species with Disorder of DNA Sequences and its Application to Evolution in Introns
DNA序列紊乱物种的识别及其在内含子进化中的应用
批准号:
17500146
负责人:
YOSHIHARA Ikuo
金额:
$2.43万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2005
资助国家:
日本
项目状态:
已结题
起止时间:
2005 至 2007

项目摘要

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中文摘要
翻译
人们认为,进化印记已经积累在染色体的DNA序列中,大多数DNA分析方法都是基于模式匹配技术的。然而,很难发现几乎所有的重要方案都是事先很好地知道的,而且在只获得很少的化石或样本的情况下,很难进行准确的分析。在这种情况下,一种简单地比较物种的方法可能是受欢迎的,即使精度还不够高。然后我们想出了一种新的方法,利用DNA序列的无序性或不规则性来比较物种。物种之间的比较是从DNA序列的不规则性的角度来进行的,而不是传统的方法。该方法的优点是不需要物种或基因的初步知识,因为该方法不需要事先获得序列的特征或分析信息,另一方面,即使不规则指数相同,也不直接意味着物种相同。希望从观点上检查序列的一些不规则性指标。笔者尝试应用多种统计方法,如统计量、物理量、长程有序度等统计量、1/f涨落、信息熵、出现率等量子统计力学等方法,通过大量实验得出结论:该方法能区分生物的远近,但仅凭不规则指数很难得到分类树。
英文摘要
It is believed that evolutionary imprints have been accumulated in DNA sequence of chromosome and most of the DNA analyzing methods are based on pattern matching technology. However, it is doubtful to find almost all the significant schemes are known well in advance and also it is difficult to analyze precisely in case of getting only few fossil or sample.In such cases, a method to compare species in brief is probably welcome, even if accuracy is not enough high. Then we think out a novel method that employs disorder or irregularity of the DNA sequences to compare species. Species are compared each other from the viewpoint of irregularity of DNA sequences instead of conventional methods. The merit of the method is no need of the preliminary knowledge of the species or genes, because this method doesn't require characteristics or analyzed information of the sequence, beforehand.On the other hand, even if irregular indices are the same, it does not directly mean the species are the same. It is desirable to check the sequences from the view point some indices of irregularity. I tried to apply various methods, e.g. statistics, physical, statistical amounts like the long distance order degree etc. of several statistics, the 1/f fluctuation, the information entropy, and the quantum statistics mechanics like the occurrence rate etc. Many experiments lead us to the conclusion that the proposed method distinguishes if the living creature is comparatively near or far, but it is hard to obtain the taxonomical trees only with the indices of irregularity.
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An Automatic Model Building for Time Series using Genetic Programming
使用遗传编程的时间序列自动模型构建
DOI: --
发表时间: 2007
期刊: Proc. Kantaoui Forum 1(CD-ROM)
影响因子: --
作者: [Yoshihara I, Yasunaga M, Yamamori K.]
通讯作者: Yamamori K.
ゲノム解析に用いるDPマッチングの分割統治法による高速化
使用分治法加速基因组分析中的 DP 匹配
DOI: --
发表时间: 2006
期刊: 宮崎大学工学部紀要 35
影响因子: --
作者: [中川匠, 吉原郁夫, 由森一人, 安永守利]
通讯作者: 安永守利
SOM-based Classification of Species using Sequences of Ribosomal Protein Genes
使用核糖体蛋白基因序列进行基于 SOM 的物种分类
DOI: --
发表时间: 2006
期刊: Memoirs of Faculty of Engineering, Univ.of Miyazaki No.35
影响因子: --
作者: [Y.Higashi, M.Yoshiharma, I.Yoshihara, K.Yamamori, N.Kenmochi]
通讯作者: N.Kenmochi
Self-Organizing Map of Species using Ribosomal Protein DNA Sequences
使用核糖体蛋白 DNA 序列的自组织物种图谱
DOI: --
发表时间: 2006
期刊: Proc.Artificial Life and Robotics(AROB11th) 11th'06(CD-ROM)
影响因子: --
作者: [Y.Higashi, M.Yoshihama, I.Yoshihara, K.Yamamori, N.Kenmochi]
通讯作者: N.Kenmochi
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