Miller Richard E, Buckley Thomas R, Manos Paul S
Department of Biology, Duke University, Durham, North Carolina 27708, USA.
Syst Biol. 2002 Oct;51(5):740-53. doi: 10.1080/10635150290102401.
The objective of this study was to obtain a quantitative assessment of the monophyly of morning glory taxa, specifically the genus Ipomoea and the tribe Argyreieae. Previous systematic studies of morning glories intimated the paraphyly of Ipomoea by suggesting that the genera within the tribe Argyreieae are derived from within Ipomoea; however, no quantitative estimates of statistical support were developed to address these questions. We applied a Bayesian analysis to provide quantitative estimates of monophyly in an investigation of morning glory relationships using DNA sequence data. We also explored various approaches for examining convergence of the Markov chain Monte Carlo (MCMC) simulation of the Bayesian analysis by running 18 separate analyses varying in length. We found convergence of the important components of the phylogenetic model (the tree with the maximum posterior probability, branch lengths, the parameter values from the DNA substitution model, and the posterior probabilities for clade support) for these data after one million generations of the MCMC simulations. In the process, we identified a run where the parameter values obtained were often outside the range of values obtained from the other runs, suggesting an aberrant result. In addition, we compared the Bayesian method of phylogenetic analysis to maximum likelihood and maximum parsimony. The results from the Bayesian analysis and the maximum likelihood analysis were similar for topology, branch lengths, and parameters of the DNA substitution model. Topologies also were similar in the comparison between the Bayesian analysis and maximum parsimony, although the posterior probabilities and the bootstrap proportions exhibited some striking differences. In a Bayesian analysis of three data sets (ITS sequences, waxy sequences, and ITS + waxy sequences) no supoort for the monophyly of the genus Ipomoea, or for the tribe Argyreieae, was observed, with the estimate of the probability of the monophyly of these taxa being less than 3.4 x 10(-7).
本研究的目的是对旋花科类群的单系性进行定量评估,特别是甘薯属和银背藤族。先前对旋花科的系统研究暗示了甘薯属的并系性,表明银背藤族内的属源自甘薯属内部;然而,尚未开发出统计支持的定量估计来解决这些问题。我们应用贝叶斯分析,通过使用DNA序列数据对旋花科关系进行调查,以提供单系性的定量估计。我们还通过运行18个长度不同的单独分析,探索了各种方法来检验贝叶斯分析的马尔可夫链蒙特卡罗(MCMC)模拟的收敛性。我们发现在MCMC模拟进行一百万代后,这些数据的系统发育模型的重要组成部分(具有最大后验概率的树、分支长度、DNA替换模型的参数值以及分支支持的后验概率)实现了收敛。在此过程中,我们识别出一次运行,其获得的参数值常常超出其他运行获得的值的范围,表明结果异常。此外,我们将系统发育分析的贝叶斯方法与最大似然法和最大简约法进行了比较。贝叶斯分析和最大似然分析在拓扑结构、分支长度和DNA替换模型参数方面的结果相似。贝叶斯分析与最大简约法的比较中拓扑结构也相似,尽管后验概率和自展比例存在一些显著差异。在对三个数据集(ITS序列、蜡质序列以及ITS + 蜡质序列)进行的贝叶斯分析中,未观察到对甘薯属或银背藤族单系性的支持,这些类群单系性概率的估计值小于3.4×10⁻⁷。