Boriollo Marcelo Fabiano Gomes, Rosa Edvaldo Antonio Ribeiro, Gonçalves Reginaldo Bruno, Höfling José Francisco
Microbiology and Immunology Laboratory, Dental School of Piracicaba, State University of Campinas, Piracicaba, Brazil.
J Microbiol Methods. 2006 Mar;64(3):346-65. doi: 10.1016/j.mimet.2005.05.012. Epub 2005 Jul 11.
The typing of C. albicans by MLEE (multilocus enzyme electrophoresis) is dependent on the interpretation of enzyme electrophoretic patterns, and the study of the epidemiological relationships of these yeasts can be conducted by cluster analysis. Therefore, the aims of the present study were to first determine the discriminatory power of genetic interpretation (deduction of the allelic composition of diploid organisms) and numerical interpretation (mere determination of the presence and absence of bands) of MLEE patterns, and then to determine the concordance (Pearson product-moment correlation coefficient) and similarity (Jaccard similarity coefficient) of the groups of strains generated by three cluster analysis models, and the discriminatory power of such models as well [model A: genetic interpretation, genetic distance matrix of Nei (d(ij)) and UPGMA dendrogram; model B: genetic interpretation, Dice similarity matrix (S(D1)) and UPGMA dendrogram; model C: numerical interpretation, Dice similarity matrix (S(D2)) and UPGMA dendrogram]. MLEE was found to be a powerful and reliable tool for the typing of C. albicans due to its high discriminatory power (>0.9). Discriminatory power indicated that numerical interpretation is a method capable of discriminating a greater number of strains (47 versus 43 subtypes), but also pointed to model B as a method capable of providing a greater number of groups, suggesting its use for the typing of C. albicans by MLEE and cluster analysis. Very good agreement was only observed between the elements of the matrices S(D1) and S(D2), but a large majority of the groups generated in the three UPGMA dendrograms showed similarity S(J) between 4.8% and 75%, suggesting disparities in the conclusions obtained by the cluster assays.
通过多位点酶电泳（MLEE）对白色念珠菌进行分型取决于酶电泳图谱的解读，并且这些酵母菌的流行病学关系研究可通过聚类分析来开展。因此，本研究的目的首先是确定MLEE图谱的遗传解读（推断二倍体生物的等位基因组成）和数字解读（仅确定条带的有无）的鉴别力，然后确定由三种聚类分析模型生成的菌株组的一致性（皮尔逊积矩相关系数）和相似性（杰卡德相似系数），以及此类模型的鉴别力[模型A：遗传解读、Nei的遗传距离矩阵（d(ij)）和UPGMA树状图；模型B：遗传解读、Dice相似性矩阵（S(D1)）和UPGMA树状图；模型C：数字解读、Dice相似性矩阵（S(D2)）和UPGMA树状图]。由于其高鉴别力（>0.9），MLEE被发现是用于白色念珠菌分型的强大且可靠的工具。鉴别力表明数字解读是一种能够鉴别更多菌株（47种亚型对43种亚型）的方法，但也指出模型B是一种能够提供更多组的方法，这表明其可用于通过MLEE和聚类分析对白色念珠菌进行分型。仅在矩阵S(D1)和S(D2)的元素之间观察到非常好的一致性，但在三个UPGMA树状图中生成的绝大多数组显示相似性S(J)在4.8%至75%之间，这表明聚类分析得出的结论存在差异。
