Inference of phylogenetic networks in the presence of hybridization, horizontal transfer or recombination.

在存在杂交、水平转移或重组的情况下推断系统发育网络。

• 批准号: 21152761
• 负责人: Professor Dr. Daniel H. Huson
• 金额: --
• 依托单位: Fachbereich IV: Informatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2009-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/21152761?language=en
• 关键词: Inference; phylogenetic; networks; presence; hybridization

Phylogenetic trees are used to represent the evolutionary history of species. They are often obtained by reconstructing the phylogeny of individual genes, using methods that are based on simple models of evolution, Biologists are becoming increasingly interested in more complex models of evolution. The growth of available sequence data is making it easier to estimate evolutionary history using multiple genes or whole genomes. More complex models of evolution involving gene loss and duplication, hybridization, horizontal gene transfer or recombination, can be employed. Phylogenetic networks are required to accommodate such reticulate events.The aim of this project is to develop a suite of robust methods for inferring phylogenetic networks. Based on our previous work on split networks, which implicitly describe reticulate evolution, new methods will be established for computing reticulate networks that explicitly model evolution in the presence of hybridization, recombination and other reticulate events.

系统发生树用于描述物种的进化历史。它们通常是通过重建单个基因的遗传学来获得的，使用基于简单进化模型的方法，生物学家对更复杂的进化模型越来越感兴趣。可用序列数据的增长使得使用多个基因或整个基因组来估计进化历史变得更加容易。可以采用涉及基因丢失和复制、杂交、水平基因转移或重组的更复杂的进化模型。系统发生网络需要容纳这样的网状事件。本项目的目的是开发一套强大的方法来推断系统发生网络。基于我们之前关于分裂网络的工作（隐含地描述了网状进化），将建立新的方法来计算网状网络，显式地模拟存在杂交、重组和其他网状事件的进化。