Refined Methods for Inference of Metazoan Phylogeny Using Mitochondrial Genome Arrangement Data

线粒体基因组对于系统发育重建来说是一个特别丰富的数据集。由于它们的大小有限，并且可获得大量的信息数据集，因此它们对于重建深部后生动物的系统发育特别感兴趣。我们的目标是通过应用新的进化模型和系统发育方法，以及通过获取和分析新的数据，为后生动物的系统发育树做出贡献。我们建议建立一个基于多重基因组重排的线粒体基因组进化的精细化模型，并相应地开发能够从大数据集中推断系统发育的高效算法。我们项目的第二个主要部分涉及后生动物线粒体基因组序列的分析，旨在解决关于后生动物系统发育的公开问题。

Mitochondrial genomes have been a particularly fruitful data set for phylogenetic reconstructions. Due to their limited size and the availability of a large number of informative data sets, they are particularly interesting for the reconstruction of deep metazoan phylogeny. We aim to contribute to a well-supported phylogenetic tree of the metazoa by applying new evolutionary models and phylogenetic methods as well as by acquiring and analyzing new data. We propose to establish a refined model of mitochondrial genome evolution based on multiple genome rearrangements and correspondingly to develop efficient algorithms that are able to infer phylogenies from large data sets. The second major part of our project deals with analyzing metazoan mitochondrial genome sequences, aiming to resolve open questions concerning the phylogeny of the Metazoa.