距离分析有助于建立内含子序列的特征基序

Andrzej K. Konopya , Gary W. Smythers , John Owens , Jacob V. Maizel Jr.
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引用次数: 21

摘要

计算机辅助序列分析用于检测真核内含子中最明显的非随机序列基序。我们详细描述了一种方法,我们称之为距离分析,我们应用于广泛的研究405真核内含子序列。我们观察到几乎所有的非均聚二核苷酸串联重复序列的四核苷酸都具有很强的双碱基周期性(除了GCGC和CGCG)。我们还通过定点比对方法观察到,这些周期性序列基序属于串联重复多达15-35次的二核苷酸大簇,对应于30-70个碱基的簇长。我们在262个剪接的真核外显子和107个细菌基因的集合中没有观察到四核苷酸的双碱基周期性。相反,这些序列表现出其他一些四核苷酸的强三碱基周期性。这些发现表明,内含子和外显子表现出不同的序列特性,可用于定位目的。
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Distance analysis helps to establish characteristic motifs in intron sequences

Computer-assisted sequence analysis was applied to detect the most apparent nonrandom sequence motifs in eukaryotic introns. We describe in detail a method, which we call distance analysis, that we applied to the extensive study of 405 eukaryotic intron sequences. We observed very strong two-base periodicities for almost all tetranucleotides that are tandem repeats of nonhomopolymeric dinucleotides (the exception was GCGC and CGCG). We also observed, by using a fixed-point alignment method, that these periodic sequence motifs belong to large clusters of dinucleotides repeated tandemly as many as 15–35 times, which corresponds to the cluster lengths of 30–70 bases. We did not observe two-base periodicity of tetranucleotides in the collections of either 262 spliced eukaryotic exons or 107 bacterial genes. Instead, these sequences displayed strong three-base periodicity of some other tetranucleotides. These findings suggest that introns and exons display distinct sequence properties that can be used for mapping purposes.

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