Heiske A, Mutters R
Institute of Medical Microbiology, Philipps University, Marburg, F.R. Germany.
Zentralbl Bakteriol. 1994 Jun;281(1):67-79. doi: 10.1016/s0934-8840(11)80639-0.
On the basis of nucleic acid relationships, the family Neisseriaceae consists of the genera Neisseria, Kingella, Simonsiella and of Alysiella filiformis, Eikenella corrodens, and the CDC groups EF-4 and M-5. Differentiation, especially of the new members of the family, by conventional phenotypic characteristics is difficult and in some cases leads to doubtful results. On the other hand, cellular components proved to be suitable for the characterization of bacterial taxa. We investigated the cellular carbohydrates derived from whole cell hydrolysates of the above mentioned taxa with the exception of Neisseria by gas chromatography/mass-spectrometry. The analysis revealed characteristic patterns for all taxa considered, although with some species of which only few strains were investigated so far only preliminary results could be established. With the method used, the carbohydrate analysis could be completed within six hours starting from a pure culture. All strains investigated exhibited a common pattern with ribose, arabinose, glucose, and galactose. Qualitative and quantitative differences in contents of fucose, sorbose, rhamnose, threose, heptose, galactosamine and an amino sugar similar to glucosamine discriminated members of the taxa investigated. To achieve a taxonomically precise differentiation of the species investigated by conventional phenotypic features as available in commercial rapid test kits, these tests should be completed by the carbohydrate analysis technique presented.
基于核酸关系,奈瑟菌科包括奈瑟菌属、金氏菌属、纤毛菌属以及丝状阿利西菌、啮蚀艾肯菌,还有疾病控制与预防中心(CDC)的EF-4和M-5群。通过传统表型特征进行鉴别,尤其是对该科新成员的鉴别很困难,在某些情况下会得出可疑结果。另一方面,细胞成分被证明适用于细菌分类单元的特征描述。我们用气相色谱/质谱法研究了上述分类单元(奈瑟菌属除外)全细胞水解产物中的细胞碳水化合物。分析揭示了所有所考虑分类单元的特征模式,不过对于某些仅研究了少数菌株的物种,目前只能得出初步结果。使用该方法,从纯培养物开始,碳水化合物分析可在6小时内完成。所有被研究的菌株都呈现出核糖、阿拉伯糖、葡萄糖和半乳糖的共同模式。岩藻糖、山梨糖、鼠李糖、苏糖、庚糖、半乳糖胺和一种类似于葡糖胺的氨基糖含量的定性和定量差异区分了所研究分类单元的成员。为了通过商业快速检测试剂盒中可用的传统表型特征对所研究的物种进行精确的分类鉴别,这些检测应该由本文介绍的碳水化合物分析技术来补充。