地板是熔岩:用高架桥、桥墩和浮桥将自然基因组减半。

IF 1.4 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Journal of Computational Biology Pub Date : 2024-04-01 Epub Date: 2024-04-15 DOI:10.1089/cmb.2023.0330
Leonard Bohnenkämper
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引用次数: 0

摘要

全基因组重复(WGD)是基因组内容和结构加倍的事件。在某些生物中,已经观察到多次 WGD 事件,而遗传物质的丢失是 WGD 事件后的典型现象。因此,经典重排模型要求每个遗传标记必须在给定的问题实例中准确出现两次,这在此情况下构成了严重的限制。双切和连接(DCJ)模型是一种简单而强大的模型,可用于分析大型结构重排。DCJ-Indel 模型能够处理遗传物质的增减,在扩展到 DCJ-Indel 模型后,近年来的研究转向使其能够处理天然基因组,因为天然基因组无需假设标记的分布。研究 WGD 事件的传统理论框架是基因组减半问题(GHP)。虽然 GHP 在无损失基因组的 DCJ 模型中可以求解,但目前还没有利用 DCJ-Indel 模型处理自然基因组的精确算法。在这项研究中,我们提出了 DCJ-Indel 模型的一般观点,并将其应用于推导 GHP 的精确多项式时间和空间解决方案,该方案适用于每个族最多有两个基因的基因组,然后再将该问题推广为自然基因组的整数线性规划解决方案。
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The Floor Is Lava: Halving Natural Genomes with Viaducts, Piers, and Pontoons.

Whole Genome Duplications (WGDs) are events that double the content and structure of a genome. In some organisms, multiple WGD events have been observed while loss of genetic material is a typical occurrence following a WGD event. The requirement of classic rearrangement models that every genetic marker has to occur exactly two times in a given problem instance, therefore, poses a serious restriction in this context. The Double-Cut and Join (DCJ) model is a simple and powerful model for the analysis of large structural rearrangements. After being extended to the DCJ-Indel model, capable of handling gains and losses of genetic material, research has shifted in recent years toward enabling it to handle natural genomes, for which no assumption about the distribution of markers has to be made. The traditional theoretical framework for studying WGD events is the Genome Halving Problem (GHP). While the GHP is solved for the DCJ model for genomes without losses, there are currently no exact algorithms utilizing the DCJ-Indel model that are able to handle natural genomes. In this work, we present a general view on the DCJ-Indel model that we apply to derive an exact polynomial time and space solution for the GHP on genomes with at most two genes per family before generalizing the problem to an integer linear program solution for natural genomes.

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来源期刊
Journal of Computational Biology
Journal of Computational Biology 生物-计算机:跨学科应用
CiteScore
3.60
自引率
5.90%
发文量
113
审稿时长
6-12 weeks
期刊介绍: Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics. Journal of Computational Biology coverage includes: -Genomics -Mathematical modeling and simulation -Distributed and parallel biological computing -Designing biological databases -Pattern matching and pattern detection -Linking disparate databases and data -New tools for computational biology -Relational and object-oriented database technology for bioinformatics -Biological expert system design and use -Reasoning by analogy, hypothesis formation, and testing by machine -Management of biological databases
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