Journal of Environment Pollution and Human Health
ISSN (Print): 2334-3397 ISSN (Online): 2334-3494 Website: Editor-in-chief: Dibyendu Banerjee
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Journal of Environment Pollution and Human Health. 2015, 3(3), 70-79
DOI: 10.12691/jephh-3-3-3
Open AccessArticle

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

Jiyoung Lee1, 2, , Kuo-Hsin Tseng1, 3, Feng Zhang4, Cheonghoon Lee1, 5, Jason Marion1, 6, Song Liang7, 8 and C.K. Shum9, 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

Pub. Date: January 08, 2016

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


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.

microcystin phycocyanin satellite remote sensing Microcystis aeruginosa Lake Erie

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