Research Program for Computational Science, Research and Development Group for Next-generation Integrated Living Matter Simulation, Fusion of Data and Analysis Research and Development Team, RIKEN, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
J Mol Evol. 2012 Aug;75(1-2):1-10. doi: 10.1007/s00239-012-9513-4. Epub 2012 Aug 8.
Efficient determination of evolutionary distances is important for the correct reconstruction of phylogenetic trees. The performance of the pooled distance required for reconstructing a phylogenetic tree can be improved by applying large weights to appropriate distances for reconstructing phylogenetic trees and small weights to inappropriate distances. We developed two weighting methods, the modified Tajima-Takezaki method and the modified least-squares method, for reconstructing phylogenetic trees from multiple loci. By computer simulations, we found that both of the new methods were more efficient in reconstructing correct topologies than the no-weight method. Hence, we reconstructed hominoid phylogenetic trees from mitochondrial DNA using our new methods, and found that the levels of bootstrap support were significantly increased by the modified Tajima-Takezaki and by the modified least-squares method.
准确地测定进化距离对于构建正确的系统发生树十分重要。在构建系统发生树时,对合适的距离赋予较大的权重,对不合适的距离赋予较小的权重,可以提高构建系统发生树所需的合并距离的性能。我们开发了两种加权方法,即改良的 Tajima-Takezaki 法和改良的最小二乘法,用于从多个基因座重建系统发生树。通过计算机模拟,我们发现这两种新方法在重建正确的拓扑结构方面都比无权重方法更有效。因此,我们使用新方法从线粒体 DNA 重建人科系统发生树,发现改良的 Tajima-Takezaki 法和改良的最小二乘法显著提高了自举支持的水平。