ERIC-PCR及全自动核糖体分型法鉴定不同来源的解阮金黄杆菌

Translated title of the contribution: Identification of Chryseobaeterium proteolyticum from Different Regions Using ERIC-PCR and Automated Ribotyping
  • Min Tian
  • , Zhen Feng
  • , Rui Dan Qu*
  • , Jing Huang
  • , Jia Yu Qi
  • , Jie Cao
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Objective :In order to establish a method for efficiently isolation and screening Chryseobaeterium proteolyticum strains with high ability of producing protein glutaminase, enterobacterial repetitive intergenic consensus (ERIC- PCR) and automated ribotyping(RiboPrinter) are used to study the typing of 33 bacteria strains isolated from different regions in molecular level. Methods :ERIC universal primers were used to amplify the repeated sequences that should be detected by agarose gel electrophoresis. The NTsys software was used for cluster analysis of electrophor etogram. At the same time, 16S rDNA of 33 strains were classified by automatic ribosome typing method and were clustered by Bionumeric software.Results :The fingerprints of 33 strains were genotyped by both methods.ERIC- PCR could amplify 3〜9 bands ranging from 100 bp to 10000 bp, and the strains were divided into two groups. Automatic ribosome typing method also can be divided into two subtypes of strains, but there still exist minor differences among each subtype of strains. Conclusion :Although the homdogy among strains belong to the same genus reached over 99%, there are still some differences on genetic evolution.At the same time, the isolates from the same region tend to cluster into one group, and a close association was exist between the enzyme production ability and typing of the strains.The results showed that all the isolates clustered in group II came from Henan Province, and the enzyme producing ability of strains in this group was significantly higher than group I.

Translated title of the contributionIdentification of Chryseobaeterium proteolyticum from Different Regions Using ERIC-PCR and Automated Ribotyping
Original languageChinese (Traditional)
Pages (from-to)105-111 and 118
JournalScience and Technology of Food Industry
Volume41
Issue number1
DOIs
StatePublished - 2020

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