Schadt Eric E, Sinsheimer Janet S, Lange Kenneth
Department of Biomathematics, UCLA School of Medicine, Los Angeles, USA.
Mol Biol Evol. 2002 Sep;19(9):1550-62. doi: 10.1093/oxfordjournals.molbev.a004217.
The current article illustrates the practical advantages of some new models and statistical algorithms for codon substitution and spatial rate variation in molecular phylogeny. Our companion paper in this issue discusses at length the mathematical properties of these models for nucleotide and codon substitution, for site-to-site and branch-to-branch heterogeneity in rates of evolution, and for spatial correlation in the assignment of rates. In this study we summarize the theoretical background and apply the models and algorithms to data on beta-globin, the complete HIV genome, and the mitochondrial genome. Our complex but realistic models enhance biological interpretation of sequence data and show substantial improvements in model fit over existing models. All the new statistical algorithms applied are incorporated in our phylogeny software LINNAEUS, which is tuned for performance and modeling flexibility.
本文阐述了分子系统发育中密码子替换和空间速率变化的一些新模型及统计算法的实际优势。本期我们的配套论文详细讨论了这些模型在核苷酸和密码子替换、进化速率的位点间和分支间异质性以及速率分配中的空间相关性方面的数学性质。在本研究中,我们总结了理论背景,并将这些模型和算法应用于β -珠蛋白、完整HIV基因组和线粒体基因组的数据。我们复杂但现实的模型增强了对序列数据的生物学解释,并且在模型拟合方面比现有模型有显著改进。所有应用的新统计算法都已纳入我们的系统发育软件LINNAEUS中,该软件针对性能和建模灵活性进行了优化。