基因重排和基因丢失的系统发育重建

Yiwei Zhang, Fei Hu, Jijun Tang
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引用次数: 9

摘要

近年来,利用基因序列数据重构系统发育已成为进化研究的热点。到目前为止,大多数方法只能处理基因含量相等的基因组,每个基因在每个基因组中只出现一次。在本文中,我们提出了一种新的符合三角不等式的基因组倒位和插入/缺失的距离测量方法。基于这一距离,我们提出了一种新的方法来解决基因含量不等的中值问题,并将其用于系统发育和祖先基因组的重建。我们在各种条件下的模拟数据集上测试了我们的方法,实验结果表明,与其他流行的不相等基因组方法相比,我们的距离测量方法可以产生更准确的系统发育树。此外,我们的中位数算法比目前可用的唯一不相等基因组中位数求解器产生更准确的祖先基因组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phylogenetic reconstruction with gene rearrangements and gene losses
Reconstructing phylogenies from gene-order data has become very attractive in the research of evolution these years. So far, most methods can only treat genomes with equal gene contents with each gene appearing exactly once in each genome. In this paper, we propose a new distance measurement for genomes with inversions and insertions/deletions that comply with triangle inequality. Based on this distance, we develop a new method to solve the median problem of unequal gene content, which are used to reconstruct both phylogenies and ancestral genomes. We test our method on simulated datasets under various conditions and the experimental results show that our distance measurement can produce more accurate phylogenetic trees compared with other popular methods for unequal genomes. Also our median algorithm produces remarkably more accurate ancestral genomes than the only unequal genome median solver that is currently available.
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