期刊文献+

一种新的氨基酸序列进化距离及其应用 被引量:1

A new evolutionary distance of amino acid sequences and its application
下载PDF
导出
摘要 在选择的思想下,建立了蛋白质氨基酸序列的进化动力学方程,提出了一个新的蛋白质氨基酸序列的进化距离———选择进化距离,该距离统一了前人提出的各种氨基酸序列的进化距离;将该动力学方程转换为线性模型后,利用最小二乘法可实现模型中参数b的估计;最后,通过17个物种的细胞色素b的氨基酸序列说明了该选择进化距离的计算方法,并根据自展法比较了不同进化距离得到的物种进化树。结果表明,利用选择进化距离构建的进化树与其他几种进化距离得到的进化树的拓扑结构一致。选择进化距离为估计蛋白质氨基酸序列的进化距离提供了新方法。 Under the theme of selection, the dynamic equation of amino acid sequences was built, and a new evolution distance (selection evolution distance) was proposed. The new evolution distance' s properties were analyzed, and it contained other distances of protein sequence. The dynamic equation could be transformed into a linear regression model, then the parameter b was estimated by the least square method. The amino acid sequences of cytochrome b in 17 species were taken as an example to illustrate the new evolution distance, and the different evolution trees based on different evolution distances were compared by the bootstrap. The results showed that the topology of the evolution tree based on selection evolution distance was consistent with that based on other distances. The new distance provide a new method to estimate evolution distance of amino acid sequences.
出处 《浙江大学学报(农业与生命科学版)》 CAS CSCD 北大核心 2012年第3期271-278,共8页 Journal of Zhejiang University:Agriculture and Life Sciences
基金 西北农林科技大学回国人员科研启动基金资助项目(Z111020834)
关键词 氨基酸序列 进化距离 动力学方程 估计 amino acid sequence evolution distance dynamic equation estimation
  • 相关文献

参考文献16

  • 1Yang Z, O' Brien J D, Zheng X, et al. Tree and rate estimation by local evaluation of heterochronous nucleotide data [J]. Bioinformatics, 2007,2t : 169-176.
  • 2Yang Z, Yoder A D. Estimation of the transition/ transversion rate bias and species sampling [J]. Journal of Molecular Evolution, 1999,48 : 274-283.
  • 3Aliabadian M, Kaboli M, Nijman V, et al. Molecular identification of birds: performance of distance-based DNA barcoding in three genes to delimit parapatric species [J]. PLoSONE, 2009,4: e4119.
  • 4Antal T, Ohtsuki H, Wakeley J, et al. Evolution of cooperation by phenotypic similarity [J]. Proceedings of the National Academy of Sciences of the United States of America, 2009,106:8597-9600.
  • 5Yang Z, Kumar S. Approximate methods for estimating the pattern of nucleotide substitution and the variation of substitution rates among sites [J]. Molecular Biology and Evolution, 1996,13:650-659.
  • 6Yue F, Shi J, Tang J. Simultaneous phylogeny reconstruction and multiple sequence alignment [J]. BMC Bioinformatics, 2009,10(Supplement 1) : Sll.
  • 7NEIM KUMARS.分子进化与系统发育[M].北京:高等教育出版社,2002.232-254.
  • 8Baake E, Haeseler A. Distance measures in terms of substitution processes[J]. Theoretical Population Biology, 1999,55 : 166-175.
  • 9Henikoff S, Henikoff J G. Amino acid substitution matrices from protein blocks [J] National Academy of Sciences of America, 1992,89 : 10915-10919. the United States of.
  • 10Kimura M. The Neutral Theory of Molecular Evolution [M]. Cambridge, UK: Cambridge University Press, 1983:149-193.

二级参考文献12

  • 1杨予恒计算分子进化.钟扬,张文娟,梅旖,等.上海:复旦大学出版社,2008:3-21.
  • 2Tamura K, Nei M. Estimation of the number of nucleotide substitutions in the control region ofmitochondrial DNA in humans and chimpanzees. Molecular Biology and Evolution, 1993, 10(3): 512-526.
  • 3Kocher T D, Wilson A C. Sequence evolution of mitochondrial DNA in human and chimpanzees: Control region and aprotein-coding region//Osawa S, Honjo T. In Evolution of Life. New York: Springer-Verlag, 1991:391-413.
  • 4Wakeley J. Substitution rate variation among sites in hypervariable I of human mitochondrial DNA. J Molecular Evolution, 1993, 37(6): 613-623.
  • 5Wakeley J. Substitution rate variation among sites and the estimation of transition bias. Molecular Biology and Evolution, 1994, 11(3): 436-442.
  • 6Jukes T H, Cantor C R. Evolution of protein molecules//Munro H N. In Mammalian protein metabolism. New York: Academic, 1969: 21-132.
  • 7Kimura M. A simple method for estimating evolution rates of base substitution through comparative studies of nucleotide sequences. J Molecular Evolution, 1980, 16(2): 111-120.
  • 8Jin L, Nei M. Limitation of the evolutionary parsimony method of phylogenetic analysis. Molecular Biology and Evolution, 1990, 7(1): 82-102.
  • 9Tamura K. Estimation of the number of nucleotide substitutions when there are strong transition-transversion and G +C-content biases. Molecular Biology and Evolution, 1992, 9(4): 678-687.
  • 10Nei M, Gojobori T. Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Molecular Biology and Evolution, 1986, 3(6): 418-426.

共引文献9

同被引文献5

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部