Oliver J D, Colwell R R
Appl Microbiol. 1974 Aug;28(2):185-92. doi: 10.1128/am.28.2.185-192.1974.
A computer program has been developed which performs cluster analysis of microorganisms using methods of numerical taxonomy. The program is designed to group related strains, identify the groups by reference to known strains, and calculate a hypothetical median organism (HMO) for each group. The HMO serves to condense taxonomic information and provides a tag for each strain cluster. Every strain in a group is compared with the HMO established for that group. A representative strain for the group is obtained by selection of the strain showing highest similarity to the HMO. New data sets can be compared with data sets of previous analyses. Hence, the occurrence of the same taxonomic groups within separate data sets can be determined. Quantitative or qualitative differences in distribution of taxonomic groups within or between data sets can be measured. The output from the computer is a graphical display, using an on-line plotter; thus, the investigator is provided with visual comparison of data sets. Results obtained from a study applying the computer program in an analysis of taxonomic data obtained for 43 bacterial strains isolated from Chesapeake Bay indicate the usefulness of this method of taxonomic analysis in microbial ecology.
已经开发出一种计算机程序,它使用数值分类学方法对微生物进行聚类分析。该程序旨在将相关菌株分组,通过参考已知菌株来识别这些组,并为每个组计算一个假设的中位生物体(HMO)。HMO用于浓缩分类信息,并为每个菌株簇提供一个标签。将一个组中的每个菌株与为该组建立的HMO进行比较。通过选择与HMO相似度最高的菌株来获得该组的代表性菌株。新的数据集可以与先前分析的数据集进行比较。因此,可以确定不同数据集中相同分类组的出现情况。可以测量数据集中或数据集之间分类组分布的定量或定性差异。计算机的输出是使用在线绘图仪的图形显示;因此,为研究人员提供了数据集的视觉比较。在对从切萨皮克湾分离出的43种细菌菌株的分类数据进行分析时应用该计算机程序所获得的结果表明,这种分类分析方法在微生物生态学中是有用的。