Bioinformatics Multidisciplinary Environment-BioME, IMD, Federal University of Rio Grande do Norte, Natal, Brazil.
Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba 81520-260, Brazil.
Mol Biol Evol. 2024 Feb 1;41(2). doi: 10.1093/molbev/msae019.
Orthology information has been used for searching patterns in high-dimensional data, allowing transferring functional information between species. The key concept behind this strategy is that orthologous genes share ancestry to some extent. While reconstructing the history of a single gene is feasible with the existing computational resources, the reconstruction of entire biological systems remains challenging. In this study, we present Bridge, a new algorithm designed to infer the evolutionary root of orthologous genes in large-scale evolutionary analyses. The Bridge algorithm infers the evolutionary root of a given gene based on the distribution of its orthologs in a species tree. The Bridge algorithm is implemented in R and can be used either to assess genetic changes across the evolutionary history of orthologous groups or to infer the onset of specific traits in a biological system.
同源信息已被用于在高维数据中搜索模式，从而在物种间传递功能信息。该策略背后的关键概念是，同源基因在某种程度上具有共同的祖先。虽然利用现有的计算资源可以重建单个基因的历史，但重建整个生物系统仍然具有挑战性。在这项研究中，我们提出了 Bridge，这是一种新的算法，旨在在大规模进化分析中推断同源基因的进化根源。Bridge 算法基于给定基因的同源基因在物种树上的分布来推断其进化根源。Bridge 算法是用 R 实现的，可以用于评估同源群在进化历史中的遗传变化，也可以用于推断生物系统中特定特征的出现。
