最大简约法

目前常用的构建发生树的方法有三种，即距离法、最大简约法和最大似然法。

There are three frequently used method : distance method , maximum parsimony method , and maximum likelihood method .

应用最大简约法，并利用3个基因组的共8个基因序列（去除了编码基因密码子第3位点的转换信息）对18个植物分类群进行了系统发育树的构建研究。

An evolutionary tree containing 18 taxons was reconstructed using 8 gene sequence data ( minus 3rd codon position transition information ), which convered 3 plant genomes , by maximum parsimony method .

扁核木为外种群，用Mega最大简约法构建系统发育树。

Prinsepia sinensis as outgroup , the maximum parsimony tree was constructed with Mega .

以USA为外类群利用最大简约法构建了大豆疫霉根腐病菌的系统发生树，并分析了菌株之间的遗传进化关系。

Taking isolate USA as outgroup , the phylogenetic tree was constructed by means of maximum parsimony analysis , and the genetic evolution among isolates was analyzed .

采用邻接法（Neighbor-joiningMethod，NJ）和最大简约法（MaximumParsi-monyMethod，MP）进行分析，并构建分子系统树，探讨羊肚菌属的分类地位及进化关系。

The Neighbor-Joining method and Maximum Parsi-mony method were adopted to construct the molecular phylogenetic tree , so as to elucidate the taxonomic status and the evolutionary relationship of morel .

采用Kimura双参数模型计算遗传距离：并用邻接法（NJ）、最大简约法（MP）和贝叶斯法（Bayesian）重建了黄颡鱼属鱼类的分子系统树。

The Kimura 's 2-Parameter sequence divergences were calculated and molecular phylogenetic trees were reconstructed by using the neighbor-joining ( NJ ) and maximum parsimony ( MP ) methods as well as Bayesian inference .

距离矩阵邻接法、最大简约法和最大似然法是重建生物系统关系的3种主要方法。

Three major methods , Neighbor-Joining ( NJ ), Maximum Parsimony ( MP ), and Maximum Likelihood ( ML ), are widely used for phylogenetic reconstruction .

通过使用邻接法、最大简约法、最大似然法和贝叶斯法建立了基于以上三种不同基因序列的系统发育树，并与形态学的研究方法相结合，研究了浒苔属的系统发育关系。

The phylogenetic trees were established by neighbor joining , maximum parsimony , maximum likelihood and Bayesian methods together with the morphological study in the genus Enteromorpha .

并通过序列分析比对，运用邻接法和最大简约法构建了雀形目18种鸟类的系统发育树。

Through sequences analysis in comparison with each other , phylogenetic tree figures of18 species of passerines were constructed using Neighbor-Joining ( NJ ) and Maximum-Parsimony ( MP ) methods .