Breschel T S, Singleton F L
Maryland Biotechnology Institute, University of Maryland System, Baltimore 21202.
Appl Environ Microbiol. 1992 Jan;58(1):21-6. doi: 10.1128/aem.58.1.21-26.1992.
Thirty-five American Type Culture Collection type strains of marine bacteria were used to evaluate the Rapid NFT system (API Analab Products, Plainview, N.Y.) for use in identifying heterotrophic marine bacteria. The 21 biochemical and assimilation tests on the Rapid NFT test strips were treated according to the manufacturer's protocol, which included use of AUX medium (provided with the Rapid NFT system) for preparing assimilation tests, and by substituting phenol red broth base (BBL Microbiology Systems, Cockeysville, Md.) with and without an oil overlay for the AUX medium. A seven-digit numerical profile was obtained for each NFT test strip from each of the three procedures and matched to its corresponding number in the Rapid NFT identification codebook. Also, all biochemical and assimilation test results were analyzed with SASTAXAN and SAS/GRAPH programs (SAS Institute, Inc., Cary, N.C.); similarity matrices were computed for all 35 strains. For comparison purposes, bacterial strains were grouped at a similarity level of 70%. The results indicated a low efficacy of identification for all three procedures. In addition, similarity matrix analysis showed more cohesive grouping based on results of phenol red broth base-treated strains than for the AUX medium provided by the manufacturer. However, none of the three treatments provided exclusive grouping of type strains at the genus level. Thus, the reliability of the data obtained from the NFT system and modifications thereof should be evaluated carefully when environmental isolates are characterized.
使用35株美国典型培养物保藏中心的海洋细菌菌株来评估快速NFT系统(API Analab产品,纽约州普莱恩维尤)在鉴定海洋异养细菌中的应用。按照制造商的方案对快速NFT测试条上的21项生化和同化试验进行处理,其中包括使用AUX培养基(随快速NFT系统提供)来制备同化试验,以及用有无油覆盖层的酚红肉汤基础培养基(BBL微生物系统公司,马里兰州科基斯维尔)替代AUX培养基。从三种程序中的每一种对每个NFT测试条都获得了一个七位数的数值谱,并将其与快速NFT鉴定码本中相应的数字进行匹配。此外,所有生化和同化试验结果都用SASTAXAN和SAS/GRAPH程序(SAS研究所,北卡罗来纳州卡里)进行分析;计算了所有35株菌株的相似性矩阵。为了进行比较,细菌菌株在70%的相似性水平上进行分组。结果表明这三种程序的鉴定效率都很低。此外,相似性矩阵分析表明,基于酚红肉汤基础培养基处理菌株的结果比制造商提供的AUX培养基具有更强的聚类分组。然而,这三种处理方法都没有在属水平上对模式菌株进行排他性分组。因此,在对环境分离株进行特征描述时,应仔细评估从NFT系统及其改进方法获得的数据的可靠性。