Holmquist R
J Mol Evol. 1980 May;15(2):149-59. doi: 10.1007/BF01732667.
It is shown how REH theory in conjunction with mRNA or gene sequence data can be used to obtain estimates of the fixation intensity, the number of varions, and the total mutations fixed between homologous pairs of nucleic acids. These estimates are more accurate than those that can be derived from amino acid sequence data. The method is illustrated for alpha and beta hemoglobin genes and these improved estimates are compared with those made from the amino acid sequences for which those genes code. Significant differences are found between the estimates made by these two methods. For the beta hemoglobin gene sequences examined here, the fixation intensity is somewhat less than the protein data had suggested, and the number of varions is considerably greater. Depending on the gene sequences examined, between 62 and 83% of the codons appear able to fix mutations during the divergences considered. This reflects the constraints of natural selection on acceptable mutations. The total number of base replacements separating the genes for human, mouse, and rabbit beta hemoglobin varies from 61 to 105 depending on the pair examined. Rabbit alpha and beta hemoglobin are separated by at least 290 fixed mutations. For such distantly related sequences estimates made from protein and mRNA data differ less, reflecting the higher quality of information from the many observed changes in primary structure. The effects of nonrandom gene structure on these evolutionary estimates and the fact that various genetic events are not equiprobable are discussed.
展示了如何将REH理论与mRNA或基因序列数据结合使用,以获得固定强度、变异体数量以及同源核酸对之间固定的总突变数的估计值。这些估计值比从氨基酸序列数据得出的估计值更准确。以α和β血红蛋白基因为例说明了该方法,并将这些改进后的估计值与由这些基因编码的氨基酸序列得出的估计值进行了比较。发现这两种方法得出的估计值存在显著差异。对于此处研究的β血红蛋白基因序列,固定强度略低于蛋白质数据所表明的,而变异体数量则大得多。根据所研究的基因序列,在所考虑的分歧过程中,62%至83%的密码子似乎能够固定突变。这反映了自然选择对可接受突变的限制。人类、小鼠和兔子β血红蛋白基因之间的碱基替换总数根据所检查的配对不同,在61至105之间变化。兔子的α和β血红蛋白至少被290个固定突变隔开。对于这种远缘相关序列,由蛋白质和mRNA数据得出的估计值差异较小,这反映了从一级结构中许多观察到的变化所获得的信息质量更高。讨论了非随机基因结构对这些进化估计的影响以及各种遗传事件并非等概率的事实。