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How Can Third Codon Positions Outperform First and Second Codon Positions in Phylogenetic Inference? An Empirical Example from the Seed Plants

机译:在系统发育推断中,第三密码子位置如何优于第一和第二密码子位置?种子植物的经验例子

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Greater phylogenetic signal is often found in parsimony-based analyses of third codon positions of protein-coding genes relative to their corresponding first and second codon positions, even for early-derived (“basal”) clades. We used the Soltis et al. (2000; Bot. J. Linn. Soc. 133:381–461) data matrix of atpB and rbcL from 567 seed plants to quantify how each of six factors (observed character-state space, frequencies of observed character states, substitution probabilities among nucleotides, rate heterogeneity among sites, overall rate of evolution, and number of parsimony-informative characters) contributed to this phenomenon. Each of these six factors was estimated from the original data matrix for parsimony-informative third codon positions considered separately from first and second codon positions combined. One of the most parsimonious trees found was used as the constraint topology; branch lengths were estimated using likelihood-based distances, and characters were simulated on this tree. Differential frequencies of observed character states were found to be the most limiting of the factors simulated for all three codon positions. Differential frequencies of observed character states and differential substitution probabilities among states were relatively advantageous for first and second codon positions. In contrast, differential numbers of observed character states, differential rate heterogeneity among sites, the greater number of parsimony-informative characters, and the higher overall rate of evolution were relatively advantageous for third codon positions. The amount of possible synapomorphy was predictive of the overall success of resolution.
机译:在基于简约的蛋白质编码基因第三密码子位置相对于其对应的第一和第二密码子位置的基于简约的分析中,即使对于早期衍生的(“基础”进化枝),也经常发现更大的系统发生信号。我们使用了Soltis等。 (2000; Bot。J. Linn。Soc。133:381–461)来自567种种子植物的atpB和rbcL数据矩阵,用于量化六个因素(观察到的角色状态空间,观察到的角色状态的频率,替换概率)之间的每个因素核苷酸,位点之间的异质性,整体进化速率和简约信息特征的数量)是造成这种现象的原因。这六个因素中的每一个都是从原始数据矩阵中估算的,用于简约信息的第三密码子位置与第一和第二密码子位置分开考虑。发现的最简约的树之一被用作约束拓扑。使用基于似然的距离估计分支长度,并在此树上模拟字符。发现观察到的字符状态的差异频率是对所有三个密码子位置模拟的因素的最大限制。对于第一和第二密码子位置,观察到的字符状态的不同频率和状态之间的不同替换概率相对有利。相反,对于第三密码子位置,观察到的字符状态的不同数量,位点之间的差异速率异质性,简约信息字符的数量更多以及整体进化速率更高,这是相对有利的。可能的突触的数量预示着分辨率的总体成功。

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