Nei M, Tateno Y
J Mol Evol. 1978 Oct 6;11(4):333-47. doi: 10.1007/BF01733841.
A method of estimating the number of nucleotide substitutions from amino acid sequence data is developed by using Dayhoff's mutation probability matrix. This method takes into account the effect of nonrandom amino acid substitutions and gives an estimate which is similar to the value obtained by Fitch's counting method, but larger than the estimate obtained under the assumption of random substitutions (Jukes and Cantor's formula). Computer simulations based on Dayhoff's mutation probability matrix have suggested that Jukes and Holmquist's method of estimating the number of nucleotide substitutions gives an overestimate when amino acid substitution is not random and the variance of the estimate is generally very large. It is also shown that when the number of nucleotide substitutions is small, this method tends to give an overestimate even when amino acid substitution is purely at random.
利用戴霍夫突变概率矩阵，开发了一种从氨基酸序列数据估计核苷酸取代数目的方法。该方法考虑了非随机氨基酸取代的影响，给出的估计值与费奇计数法得到的值相似，但大于在随机取代假设下（朱克斯和坎托公式）得到的估计值。基于戴霍夫突变概率矩阵的计算机模拟表明，当氨基酸取代不是随机的且估计值的方差通常非常大时，朱克斯和霍尔姆奎斯特估计核苷酸取代数目的方法会高估。还表明，当核苷酸取代数较少时，即使氨基酸取代完全是随机的，该方法也往往会高估。
