Evaluation of two autoinducer-2 quantification methods for application in marine environments
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Environmental Science and Engineering Program
Water Desalination and Reuse Research Center (WDRC)
KAUST Grant NumberURF/1/2982-01-01
Online Publication Date2018-03-13
Print Publication Date2018-06
Permanent link to this recordhttp://hdl.handle.net/10754/627131
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AbstractThis study evaluated two methods, namely high performance liquid chromatography with fluorescence detection (HPLC-FLD) and Vibrio harveyi BB170 bioassay, for autoinducer-2 (AI-2) quantification in marine samples. Using both methods, the study also investigated the stability of AI-2 in varying pH, temperature and media, as well as quantified the amount of AI-2 signals in marine samples.HPLC-FLD method showed a higher level of reproducibility and precision compared to V. harveyi BB170 bioassay. Alkaline pH > 8 and high temperature (> 37°C) increased the instability of AI-2. The AI-2 concentrations in seawater were low, ca. 3.2-27.6 pmol l-1 whereas 8- week old marine biofilm grew on an 18.8 cm2 substratum accumulated ca. 0.207 nmol of AI-2.Both methods have pros and cons for AI-2 quantification in marine samples. Regardless, both methods reported a ubiquitous presence of AI-2 in both planktonic and biomass fractions of seawater, as well as in marine biofilm.In this study, AI-2 signals were for the first time enumerated in marine samples to reveal the ubiquitous presence of AI-2 in this environment. The findings suggest a possible role of AI-2 in biofilm formation in marine environment, and the contribution of AI-2 in biofilm-associated problems such as biofouling and biocorrosion. This article is protected by copyright. All rights reserved.
CitationWang T-N, Kaksonen AH, Hong P-Y (2018) Evaluation of two autoinducer-2 quantification methods for application in marine environments. Journal of Applied Microbiology. Available: http://dx.doi.org/10.1111/jam.13725.
SponsorsThe work was funded by King Abdullah University of Science and Technology (KAUST) Competitive Research Grant 2017 (URF/1/2982-01-01) awarded to Pei-Ying Hong. CSIRO Land and Water is thanked for support to Anna Kaksonen.
JournalJournal of Applied Microbiology
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