Unknown

Dataset Information

0

Evaluation of a new high-throughput method for identifying quorum quenching bacteria.


ABSTRACT: Quorum sensing (QS) is a population-dependent mechanism for bacteria to synchronize social behaviors such as secretion of virulence factors. The enzymatic interruption of QS, termed quorum quenching (QQ), has been suggested as a promising alternative anti-virulence approach. In order to efficiently identify QQ bacteria, we developed a simple, sensitive and high-throughput method based on the biosensor Agrobacterium tumefaciens A136. This method effectively eliminates false positives caused by inhibition of growth of biosensor A136 and alkaline hydrolysis of N-acylhomoserine lactones (AHLs), through normalization of ?-galactosidase activities and addition of PIPES buffer, respectively. Our novel approach was successfully applied in identifying QQ bacteria among 366 strains and 25 QQ strains belonging to 14 species were obtained. Further experiments revealed that the QQ strains differed widely in terms of the type of QQ enzyme, substrate specificity and heat resistance. The QQ bacteria identified could possibly be used to control disease in aquaculture.

SUBMITTER: Tang K 

PROVIDER: S-EPMC3796309 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Evaluation of a new high-throughput method for identifying quorum quenching bacteria.

Tang Kaihao K   Zhang Yunhui Y   Yu Min M   Shi Xiaochong X   Coenye Tom T   Bossier Peter P   Zhang Xiao-Hua XH  

Scientific reports 20131014


Quorum sensing (QS) is a population-dependent mechanism for bacteria to synchronize social behaviors such as secretion of virulence factors. The enzymatic interruption of QS, termed quorum quenching (QQ), has been suggested as a promising alternative anti-virulence approach. In order to efficiently identify QQ bacteria, we developed a simple, sensitive and high-throughput method based on the biosensor Agrobacterium tumefaciens A136. This method effectively eliminates false positives caused by in  ...[more]

Similar Datasets

| PRJNA1119086 | ENA
| S-EPMC3742262 | biostudies-literature
| S-EPMC5852596 | biostudies-literature
| S-EPMC3355444 | biostudies-literature
| S-EPMC2920534 | biostudies-literature
| S-EPMC4959188 | biostudies-literature
| S-EPMC3784491 | biostudies-literature
2017-06-12 | GSE87009 | GEO
| S-EPMC9479286 | biostudies-literature
| S-EPMC5362224 | biostudies-literature