Identification system of bacteria based on ribosomal small subunit RNA sequences

本研究旨在建立用于细菌鉴定的16S rRNA序列数据库，开发基于16S rRNA序列的细菌鉴定系统。首先，我们建立了一个16S rRNA序列数据库，其中包括属名、香料名、菌株号、分类地位、分类群、登录号和条目名等信息。该数据库涵盖了细菌16S rRNA的大部分数据，其中超过1000个核苷酸的序列被确定。我们测定了具有重要分类学意义的物种的16S rRNA序列。其中假单胞菌属80种，肠道细菌20种，乳杆菌和双歧杆菌16种。我们还试图开发一种快速鉴定细菌的方法。然后，我们开发了一种使用毛细管聚合酶链式反应和毛细管测序仪的方法，可以在8小时内鉴定出细菌。

This study aimed to make a data base of 16S rRNA sequences for bacterial identification and to develop a identification system of bacteria based on 16S rRNA sequences. Firstly, we made a data base of 16S rRNA sequences which includes information about genus name, spices name, strain number, taxonomic status, taxonomic group, accession number, and entry name. The data base covers most of data for bacterial 16S rRNAs of which sequences were determined more than 1000 nucleotides. We determined 16S rRNA sequences for taxonomically important species. The sepcies include 80 species of the genus Pseudomonas, 20 species of the enteric bacteria, and 16 species of Lactobacillus and Bifidobacterium. We also tried to develop a rapid method for identification of bacteria. Then, we developed a method using a capillary PCR and a capillary sequencer, by which a bacteria is identified within 8 hours.