Using Phycocyanin as Cyanobacterial Biomass Indicator to Determine Potentially-Toxic Bloom: An Example from a Malaysia Reservoir
รหัสดีโอไอ
Creator 1. Nurul 'Awatif Ahmad
2. Som Cit Sinang
Title Using Phycocyanin as Cyanobacterial Biomass Indicator to Determine Potentially-Toxic Bloom: An Example from a Malaysia Reservoir
Publisher Thai Society of Higher Education Institutes on Environment
Publication Year 2567
Journal Title EnvironmentAsia
Journal Vol. 17
Journal No. 3
Page no. 116-130
Keyword Cyanobacterial harmful algal blooms (CHABs), Cyanotoxins, Risk assessment, mcyE gene, Photosynthetic pigments
URL Website http://www.tshe.org/ea/index.html
Website title EnvironmentAsia
ISSN 1906-1714
Abstract Cyanobacterial bloom is a serious threat to the safety of public drinking water resourcesdue to potential cyanotoxin microcystin contamination. Water operators inadequately monitoroccurrences and dynamics of cyanobacterial blooms and their toxic potential. An effectivemonitoring and risk assessment can be challenging as the commonly used cyanobacterialbiomass indicator might not explain the actual bloom's toxicity. This study aimed to determinea reliable cyanobacterial biomass indicator for monitoring toxigenic blooms in the reservoirused for public drinking water supply. The reservoir was sampled for 12 months at threesampling sites to determine its water physicochemical properties, cyanobacterial biomassabundance, and toxigenic potential estimated by mcyE gene copy numbers. Cyanobacterialbiomass was quantified as total chlorophyll-a and blue-green algae phycocyanin (BGA-PC).The results showed that total chlorophyll-a and BGA-PC are highly variable on temporal andspatial scales. Microcystis spp. was the dominant toxigenic cyanobacteria, with the mean mcyEgene concentrations ranging from 29.5 to 1,180,144.06 copies/mL. Meanwhile, Anabaena spp.and Planktothrix spp. were also detected in several samples, with the mean mcyE geneconcentrations ranging from 28.25 to 3,877.05 copies/mL and 18.45 to 3,017.4 copies/mL,respectively. Pearson correlation analysis revealed that mcyE gene was only significantlycorrelated to BGA-PC (R = 0.553, P < 0.05). Hence, BGA-PC can be utilized as a reliablecyanobacterial biomass indicator for monitoring toxigenic cyanobacterial blooms. This firstreport on toxigenic cyanobacterial biomass in the reservoir signifies the importance of bloommonitoring and microcystin risk assessment using blue-green algae phycocyanin pigment.
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