Development of Pathogenic Bacterial Classification and Identification System based on 16S Ribosomal RNA Sequences

基于16S核糖体RNA序列的病原菌分类鉴定系统开发

基本信息

批准号：
07557028
负责人：
EZAKI Takayuki
金额：
$ 3.84万
依托单位：
Gifu University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07557028/
关键词：
IDENTIFICATION RIBOSOMAL RNA CLASSIFICATION 16SリボソームRNA

项目摘要

In medical microbiology, identification system of human pathogenic bacteria still depends on conventional phenotypic tests. To overcome this conventional techniques, we aim to accumulate 16S ribosomal RNA sequences of human pathogens and to design their genetic detection and identification system. Including our data, all of the ribosomal RNA sequences of over 200 established class 2 and 3 pathogens were completed until the January of 1997. On the other hand, among 1000 opportunistic human pathogens, 95% of their sequences were determined. Using these data base, we designed rapid genetic detection and identification system ofpathogens within a fewhour. We selectively amplified the position 8 from 5' terminal of 16S rRNA sequence and position 340 to amplify bacterialribosomal DNA sequences. By simply comparing the amplifiedsequenceamong established 1000 pathogens, most human pathogens were able to identify at species level.However, strain differentiationis often requestedin medical microbiology to find sources ofinfection and to determine their pathogenic factors. For this purpose, 16S rRNA data base was not suitable because strain variation werenot observedin the 16S rRNA sequences. IS pattern, SOD gene, and DNA gyrase become candidate for this purpose. Established data set of 16S rRNA sequences are planned to release through internet from our laboratory in very near future.

在医学微生物学中，人类致病细菌的鉴定系统仍然取决于常规的表型检测。为了克服这种常规技术，我们旨在积累人类病原体的16S核糖体RNA序列，并设计其遗传检测和鉴定系统。包括我们的数据，直到1997年1月，所有已建立的2类和3级病原体的核糖体RNA序列都完成。另一方面，在1000个机会性人体病原体中，确定了95％的序列。使用这些数据库，我们在Fewhour中设计了快速的遗传检测和鉴定导管剂的识别系统。我们从16S rRNA序列和340位置的5'端子中有选择地放大位置8，以扩增细菌质体DNA序列。通过简单地比较放大的序列建立的1000个病原体，大多数人类病原体都能在物种水平上识别。但是，菌株分化经常要求医学上的微生物学以找到感染的来源并确定其病原因素。为此，16S rRNA数据库不合适，因为菌株变化Werenot在16S rRNA序列中观察到。为此，是模式，SOD基因和DNA Gyrase成为候选。计划在不久的将来通过互联网从我们的互联网上释放16S rRNA序列的已建立数据集。