Jiyoung Lee1, 2,
,
Kuo-Hsin Tseng1, 3,
Feng Zhang4,
Cheonghoon Lee1, 5,
Jason Marion1, 6,
Song Liang7, 8,
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
Journal of Environment Pollution and Human Health.
2015,
Vol. 3 No. 3, 70-79
DOI: 10.12691/jephh-3-3-3
Copyright © 2016 Science and Education PublishingCite this paper: Jiyoung Lee, Kuo-Hsin Tseng, Feng Zhang, Cheonghoon Lee, Jason Marion, Song Liang, 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.
Correspondence to: Jiyoung Lee, College of Public Health, Division of Environmental Health Sciences, The Ohio State University, Columbus, Ohio, USA. Email:
lee.3598@osu.eduAbstract
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.
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