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Estimating true evolutionary distances under rearrangements, duplications, and losses

机译:估计重排,重复和损失下的真实进化距离

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摘要

Background The rapidly increasing availability of whole-genome sequences has enabled the study of whole-genome evolution. Evolutionary mechanisms based on genome rearrangements have attracted much attention and given rise to many models; somewhat independently, the mechanisms of gene duplication and loss have seen much work. However, the two are not independent and thus require a unified treatment, which remains missing to date. Moreover, existing rearrangement models do not fit the dichotomy between most prokaryotic genomes (one circular chromosome) and most eukaryotic genomes (multiple linear chromosomes). Results To handle rearrangements, gene duplications and losses, we propose a new evolutionary model and the corresponding method for estimating true evolutionary distance. Our model, inspired from the DCJ model, is simple and the first to respect the prokaryotic/eukaryotic structural dichotomy. Experimental results on a wide variety of genome structures demonstrate the very high accuracy and robustness of our distance estimator. Conclusion We give the first robust, statistically based, estimate of genomic pairwise distances based on rearrangements, duplications and losses, under a model that respects the structural dichotomy between prokaryotic and eukaryotic genomes. Accurate and robust estimates in true evolutionary distances should translate into much better phylogenetic reconstructions as well as more accurate genomic alignments, while our new model of genome rearrangements provides another refinement in simplicity and verisimilitude.
机译:背景技术全基因组序列的迅速增加的可用性使全基因组进化的研究成为可能。基于基因组重排的进化机制引起了人们的广泛关注,并产生了许多模型。基因复制和丢失机制在某种程度上是独立的,已经取得了许多成果。但是,两者并不是独立的,因此需要统一的处理方式,但至今仍不存在。而且,现有的重排模型不适合大多数原核基因组(一个圆染色体)和大多数真核基因组(多个线性染色体)之间的二分法。结果为了处理重排,基因重复和丢失,我们提出了一个新的进化模型和估计真实进化距离的相应方法。我们的模型受DCJ模型的启发,很简单,并且是第一个尊重原核/真核结构二分法的模型。在各种基因组结构上的实验结果表明,我们的距离估算器具有很高的准确性和鲁棒性。结论我们在尊重原核基因组和真核生物基因组结构二分法的模型下,基于重排,重复和损失,首次给出了基于统计学的稳健的基因组配对距离估计。对真实进化距离的准确而可靠的估计应转化为更好的系统发育重建以及更准确的基因组比对,而我们的新基因组重排模型在简单性和真实性上提供了另一种改进。

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