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2017 IWA Symposium of Lake and Reservoir Management Shanghai, China, 22-26 May, 2017 A biomolecule-based alternative method to estimate the risk associated with cyanotoxins and odorants in drinking water sources Keng-Yu Lu, Yi-Ting Chiu, and Tsair-Fuh Lin* (Department of Environmental Engineering, National Cheng Kung University, Tainan, Taiwan ) Presenting Author: Keywords: Tsair-Fuh Lin Alert Level; Drinking Water; Cyanotoxins; 2-Methylisoborneol; Real-time PCR; Risk Introduction Proliferation of cyanobacteria in source water may cause problems for water industries as many of the microorganisms are toxin or odorant producers. To manage the risks associated with the harmful cyanobacteria in source water, the concentration levels of the toxins and odorants need to be characterized first. Conventionally, the concentrations of toxins and odorants in water are estimated from direct measurement of targeted metabolites or from formation potentials based on cell numbers or biovolumes of harmful cyanobacteria (Chorus and Bartram, 1999; Newcombe et al., 2010). Recently, biomolecular methods, such as real-time polymerase chain reaction (qPCR), has been shown to successful quantify the genes responsible for the formation of microcystin (MC), cylindrospermospin (CYN), and 2-methyisoborneol (2MIB) in reservoirs (Yen et al., 2012; Chiu et al., 2016). The qPCR-based approach may be used as an alternative to estimate the risk associated with harmful cyanobacteria and metabolites in reservoirs. The aim of this study is to propose a biomolecule-based alternative means for estimating the risk associated with cyanobacterial toxins and T&O compounds in drinking water reservoirs. Materials and Methods A database with 250 samples collected from 29 reservoirs in Taiwan from 2012 to 2015 and from Laguna Lake in Philippine in August 18-22, 2016 were used for the evaluation. The samples were analyzed for gene concentrations of MC producers (mcyB gene), CYN producers (pks gene), 2-MIB producers (mibC gene) using qPCR, MC and CYN using an enzyme-linked immunosorbent assay (ELISA), and 2-MIB using a solid-phase microextraction concentration followed by a gas chromatograph-mass selective detector. In addition, cell enumerations were also conducted for cyanobacteria in the samples. The data was compared with the cell concentrations suggested for the alert levels for the management of cyanobacteria proposed by 1 2017 IWA Symposium of Lake and Reservoir Management Shanghai, China, 22-26 May, 2017 World Health Organization (WHO) (Chorus and Bartram, 1999) and Australian Water Quality Centre (AWQC) (Newcombe et al., 2010). Results and Discussion The alert levels (ALs) suggested by WHO and AWQC (Chorus and Bartram, 1999; Newcombe et al., 2010) for MC and CYN are 0.3, 1, and 10 µg/L for levels 1, 2, and 3, respectively. Given that the guideline values for 2-MIB is at 10 ng/L (Japan Drinking Water Quality Guideline), the ALs 1, 2, and 3 for the chemical are set at 3, 10, and 100 ng/L, respectively. The ALs were linked with cell concentrations based on cell quotas of the toxins/odorants for typical harmful cyanobacteria. However, field results showed that the cell quotas may vary by 7-60 times for the studied toxins/odorants. Good correlations between metabolite concentrations and corresponding producing gene abundances were found for the field samples for MCs, CYN, and 2-MIB. Therefore, the metabolite concentrations at each AL may be replaced by the abundance of corresponding producing genes, as shown in Table 1. The gene abundances may thus serve as references for the determination of ALs in source water for different toxins/odorants. Table 1 Alert levels based on producing genes. Alert Level Toxins (µg/L) mcyB (copies/mL) pks (copies/mL) T&O compound (ng/L) mibC (copies/mL) Detection < 0.3 < 15 < 40 <3 < 70 1 0.3-1.0 15 - 30 40 - 140 3-10 70 - 160 2 1.0-10 30 - 770 140 – 15,000 10 -100 160 – 1,200 3 > 10 > 770 > 15,000 > 100 > 1,200 Conclusions As the DNA-based method is more specific to targeted producers and less time consuming in sample analysis as compared to the cell enumeration with microscope, the approach may serve as an alternative means for setting the alert levels in risk assessment of cyanobacteria and their metabolites in drinking water sources. References Chiu, Y.-T., Yen, H.-K., Lin, T.-F., 2016. An alternative method to quantify 2-MIB producing cyanobacteria in drinking water reservoirs: Method development and field applications. Environ Res 151, 618-627. Chorus, I., Bartram, J., 1999. Toxic cyanobacteria in water: a guide to their public health consequences, monitoring and management, World Health Organization. Yen, H.K., Lin, T.F.*, Tseng, I.C. (2012) Characterization and quantification of major toxigenic Microcystis genotypes in Moo-Tan Reservoir and associated water treatment plant, J. Environ. Monit., 14(2), 687-696. Newcombe, G., House, J., Ho, L., Baker, P., Burch, M., 2010. Management strategies for cyanobacteria (BlueGreen Algae): A guide for water utilities. Water Quality Research Australia (WQRA), Research Report 74. 2