From Satellite to Genes: An Integrative Approach for Timely Monitoring of Harmful Cyanobacteria in Lake Erie Beach Water

Jiyoung Lee^{1, 2,} , Kuo-Hsin Tseng^{1, 3}, Feng Zhang⁴, Cheonghoon Lee^{1, 5}, Jason Marion^{1, 6}, Song Liang^{7, 8} and C.K. Shum^{9, 10}

¹College of Public Health, Division of Environmental Health Sciences, The Ohio State University, Columbus, Ohio, USA

²Department of Food Science & Technology, The Ohio State University, Ohio, USA

³Division of Geodetic Science, School of Earth Sciences, The Ohio State University, Columbus, Ohio, USA;Now at Center for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan

⁴Environmental Science Graduate Program, The Ohio State University, Columbus, Ohio, USA

⁵Now at Graduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea

⁶Now at Department of Environmental Health Science, Eastern Kentucky University

⁷Department of Environmental and Global Health, University of Florida, Gainesville, Florida, USA

⁸Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA

⁹Division of Geodetic Science, School of Earth Sciences, The Ohio State University, Columbus, Ohio, USA

¹⁰State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy & Geophysics, CAS, Wuhan, China

Cite this paper:
Jiyoung Lee, Kuo-Hsin Tseng, Feng Zhang, Cheonghoon Lee, Jason Marion, Song Liang and C.K. Shum. From Satellite to Genes: An Integrative Approach for Timely Monitoring of Harmful Cyanobacteria in Lake Erie Beach Water. Journal of Environment Pollution and Human Health. 2015; 3(3):70-79. doi: 10.12691/jephh-3-3-3

Abstract

An integrated approach for quantifying cyanotoxins was investigated using satellite remote sensing with molecular and chemical tools in Lake Erie. Remotely sensed satellite-based water color measurements with Medium Resolution Imaging Spectrometer (MERIS) were compared with in situ measurements of cyanobacteria pigments, M. aeruginosa populations (total and microcystin-producing subpopulation), and microcystin (MC) concentrations. Water samples were collected from a popular Headlands Beach in Lake Erie during the summer of 2010. The quantitative anomaly of cyanobacterial blooms between the two phycocyanin (PC) measurements demonstrated a good correlation (MERIS vs. in situ, r=0.84). PC was a better harmful cyanobacteria indicator than chlorophyll-a and correlated significantly with M. aeruginosa population (P<0.05). MC was detected in 33.8% of the samples and temporal pattern demonstrated that spikes of mcyA and PC occurred prior to MC peaks. Successful analysis within the 1 km nearshore region was another remarkable finding, which may be applicable for smaller water bodies.

Keywords:
microcystin phycocyanin satellite remote sensing Microcystis aeruginosa Lake Erie

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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