UPSI Digital Repository (UDRep)
Start | FAQ | About
Menu Icon

QR Code Link :

Type :Article
Subject :Q Science (General)
ISBN :1906-1714
Main Author :Sinang, Som Cit
Title :Using phycocyanin as cyanobacterial biomass indicator to determine potentially-toxic bloom: An example from a Malaysia reservoir
Hits :95
Place of Production :Tanjung Malim
Publisher :Fakulti Sains & Matematik
Year of Publication :2024
Notes :EnvironmentAsia
Corporate Name :Universiti Pendidikan Sultan Idris
HTTP Link : Click to view web link
PDF Full Text :You have no permission to view this item.

Abstract : Universiti Pendidikan Sultan Idris
Cyanobacterial bloom is a serious threat to the safety of public drinking water resources due to potential cyanotoxin microcystin contamination. Water operators inadequately monitor occurrences and dynamics of cyanobacterial blooms and their toxic potential. An effective monitoring and risk assessment can be challenging as the commonly used cyanobacterial biomass indicator might not explain the actual bloom_s toxicity. This study aimed to determine a reliable cyanobacterial biomass indicator for monitoring toxigenic blooms in the reservoir used for public drinking water supply. The reservoir was sampled for 12 months at three sampling sites to determine its water physicochemical properties, cyanobacterial biomass abundance, and toxigenic potential estimated by mcyE gene copy numbers. Cyanobacterial biomass 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 and spatial scales. Microcystis spp. was the dominant toxigenic cyanobacteria, with the mean mcyE gene 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 gene concentrations 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 significantly correlated to BGA-PC (R = 0.553, P < 0.05). Hence, BGA-PC can be utilized as a reliable cyanobacterial biomass indicator for monitoring toxigenic cyanobacterial blooms. This first report on toxigenic cyanobacterial biomass in the reservoir signifies the importance of bloom monitoring and microcystin risk assessment using blue-green algae phycocyanin pigment. _ 2024, Thai Society of Higher Eduation Institutes on Environment. All rights reserved.

References

Aeriyanie AR, Sinang SC, Nayan N, Poh KB. Role of Internal and External Nutrients Loading in Regulating In-Lake Nutrient Concentrations in a Eutrophic Shallow Lake. EnvironmentAsia 2021; 14(1).

Akhtar N, Syakir Ishak MI, Bhawani SA, Umar K. Various natural and anthropogenic factors responsible for water quality degradation: A review. Water 2021;13(19):2660.

Barcante B, Nascimento NO, Silva TF, Reis LA, Giani A. Cyanobacteria dynamics and phytoplankton species richness as a measure of waterbody recovery: Response to phosphorus removal treatment in a tropical eutrophic reservoir. Ecological Indicators 2020; 117: 106702.

Baxa DV, Kurobe T, Ger KA, Lehman PW, Teh SJ. Estimating the abundance of toxic Microcystis in the San Francisco Estuary using quantitative real-time PCR. Harmful Algae 2010; 9(3): 342-349.

Binding CE, Pizzolato L, Zeng C. E O L a k e Wa t c h ; D e l i v e r i n g a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes. Ecological Indicators 2021; 121: 106999.

Chen M, Xu C, Wang X, Wu Y, Li L. Nonribosomal peptide synthetases and nonribosomal cyanopeptides synthesis in Microcystis: A comparative genomics study. Algal Research 2021;59: 102432.

Chorus I, Welker M. Toxic cyanobacteria in water: a guide to their public health consequences, monitoring and management. Boca Raton, Crc Press/Taylor & Francis Group. 2021.

Dey S, Botta S, Kallam R, Angadala R, Andugala J. Seasonal variation in water quality parameters of Gudlavalleru Engineering College Pond. Current Research in Green Sustainable Chemistry 2021; 4: 100058.

Dittmann E, Borner T. Genetic contributions to the risk assessment of microcystin in the environment. Toxicology and Applied Pharmacology 2005; 203(3):192-200.

Eriksen NT. Production of phycocyanin a pigment with applications in biology, biotechnology, foods and medicine. Applied Microbiology and Biotechnology 2008; 80: 1-4.

Felip M, Catalan J. The relationship between phytoplankton biovolume and chlorophyll in a deep oligotrophic lake: decoupling in their spatial and temporal maxima. Journal of Plankton Research 2000; 22(1): 91-106.

Freeman EC, Creed IF, Jones B, Bergstrom AK. Global changes may be promoting a rise in select cyanobacteria in nutrient-poor northern lakes. Global Change Biology 2020; 26(9): 4966-4987.

Glazer AN. Phycobiliproteins-a family of valuable, widely used fluorophores. Journal of Applied Phycology 1994; 6:105-112.

Gophen M. Climate change-enhanced cyanobacteria domination in Lake Kinneret: A retrospective overview. Water 2021; 13(2): 163.

Ho JC, Michalak AM. Exploring temperature and precipitation impacts on harmful algal blooms across continental US lakes. Limnology and Oceanography 2020;65(5): 992-1009.

Hu L, Shan K, Huang L, Li Y, Zhao L, Zhou Q, Song L. Environmental factors associated with cyanobacterial assemblages in a mesotrophic subtropical plateau lake: A focus on bloom toxicity. Science of the Total Environment 2021; 777: 146052.

Huo D, Gan N, Geng R, Cao Q, Song L, Yu G, Li R. Cyanobacterial blooms in China:Diversity, distribution, and cyanotoxins. Harmful Algae 2021; 109: 102106.

Kazmi SS, Yapa N, Karunarathna SC, Suwannarach N. Perceived intensification in harmful algal blooms is a wave of cumulative threat to the aquatic ecosystems. Biology 2022; 11(6): 852.

Kimambo ON, Gumbo JR, Chikoore H. The occurrence of cyanobacteria blooms in freshwater ecosystems and their link with hydro-meteorological and environmental variations in Tanzania. Heliyon 2019; 5(3).

Kubickova B, Babica P, Hilscherova K, Sindlerova L. Effects of cyanobacterial toxins on the human gastrointestinal tract and the mucosal innate immune system. Environmental Sciences Europe 2019; 31(1): 1-27.

Lintern A, Webb JA, Ryu D, Liu S, Waters D, Leahy P, Bende-Michl U, Western AW. What are the key catchment characteristics affecting spatial differences in riverine water quality? Water Resources Research 2018; (10): 7252-7272.

Mainali J, Chang H. Environmental and spatial factors affecting surface water quality in a Himalayan watershed, Central Nepal. Environmental and Sustainability Indicators 2021; 9: 100096.


This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials.
You may use the digitized material for private study, scholarship, or research.

Back to search page

Installed and configured by Bahagian Automasi, Perpustakaan Tuanku Bainun, Universiti Pendidikan Sultan Idris
If you have enquiries, kindly contact us at pustakasys@upsi.edu.my or 016-3630263. Office hours only.