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首页> 外文期刊>BMC Bioinformatics >GRSR: a tool for deriving genome rearrangement scenarios from multiple unichromosomal genome sequences
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GRSR: a tool for deriving genome rearrangement scenarios from multiple unichromosomal genome sequences

机译:GRSR:从多个单染色体基因组序列推导基因组重排方案的工具

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摘要

Genome rearrangements describe changes in the genetic linkage relationship of large chromosomal regions, involving reversals, transpositions, block interchanges, deletions, insertions, fissions, fusions and translocations etc. Many algorithms for calculating rearrangement scenarios between two genomes have been proposed. Very often, the calculated rearrangement scenario is not unique for the same pair of permutations. Hence, how to decide which calculated rearrangement scenario is more biologically meaningful becomes an essential task. Up to now, several mechanisms for genome rearrangements have been studied. One important theory is that genome rearrangement may be mediated by repeats, especially for reversal events. Many reversal regions are found to be flanked by a pair of inverted repeats. As a result, whether there are repeats at the breakpoints of the calculated rearrangement events can shed a light on deciding whether the calculated rearrangement events is biologically meaningful. To our knowledge, there is no tool which can automatically identify rearrangement events and check whether there exist repeats at the breakpoints of each calculated rearrangement event. In this paper, we describe a new tool named GRSR which allows us to compare multiple unichromosomal genomes to identify “independent” (obvious) rearrangement events such as reversals, (inverted) block interchanges and (inverted) transpositions and automatically searches for repeats at the breakpoints of each rearrangement event. We apply our tool on the complete genomes of 28 Mycobacterium tuberculosis strains and 24 Shewanella strains respectively. In both Mycobacterium tuberculosis and Shewanella strains, our tool finds many reversal regions flanked by a pair of inverted repeats. In particular, the GRSR tool also finds an inverted transposition and an inverted block interchange in Shewanella, where the repeats at the ends of rearrangement regions remain unchanged after the rearrangement event. To our knowledge, this is the first time such a phenomenon for inverted transposition and inverted block interchange is reported in Shewanella. From the calculated results, there are many examples supporting the theory that the existence of repeats at the breakpoints of a rearrangement event can make the sequences at the breakpoints remain unchanged before and after the rearrangement events, suggesting that the conservation of ends could possibly be a popular phenomenon in many types of genome rearrangement events.
机译:基因组重排描述了大染色体区域的遗传连锁关系的变化,包括逆转,转座,块互换,缺失,插入,裂变,融合和易位等。提出了许多计算两个基因组之间重排情况的算法。通常,所计算的重排场景对于同一对排列不是唯一的。因此,如何确定计算出的重排方案在生物学上更有意义成为必不可少的任务。迄今为止,已经研究了基因组重排的几种机制。一种重要的理论是基因组重排可能是由重复介导的,尤其是对于逆转事件。发现许多反向区域的侧翼是一对反向重复。结果,在所计算的重排事件的断点处是否存在重复可以阐明在确定所计算的重排事件是否在生物学上有意义。据我们所知,没有工具可以自动识别重排事件并检查每个计算出的重排事件的断点处是否存在重复。在本文中,我们描述了一种名为GRSR的新工具,该工具使我们能够比较多个单染色体基因组,以识别“独立”(明显)重排事件,例如逆转,(倒置)嵌段互换和(倒置)换位,并自动搜索重复序列。每个重排事件的断点。我们将我们的工具分别应用于28个结核分枝杆菌菌株和24个希瓦氏菌菌株的完整基因组。在结核分枝杆菌和希瓦氏菌中,我们的工具都能发现许多反向区域,两侧是一对反向重复序列。尤其是,GRSR工具还在Shewanella中找到了一个倒置换位和一个倒置的块互换,其中在重排事件之后,重排区域末端的重复序列保持不变。据我们所知,这是Shewanella首次报道这种反向转座和反向嵌段互换的现象。从计算结果来看,有许多实例支持以下理论:重排事件的断点处重复序列的存在可以使重排事件前后的断点处序列保持不变,这表明末端保守性可能是在许多类型的基因组重排事件中很普遍。

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