Understanding the factors causing cyanobacterial harmful algal blooms (cHABs) through a better characterization of the cyanobacterial and associated aquatic microbiome community. Assessing the role of the microbial community in terms of nutrient cycling. Using genomic tools to better predict which blooms have the capacity to become toxic.
All data are subjects of a publication containing method details, full QA/QC, interpretations and conclusions. Citation:
Crevecoeur, S., Edge, T. A., Watson, L. C., Watson, S. B., Greer, C. W., Ciborowski, J. J. H., Diep, N., Dove, A., Drouillard, K. G., Frenken, T., McKay, R. M., Zastepa, A., & Comte, J. (2023). Spatio-temporal connectivity of the aquatic microbiome associated with cyanobacterial blooms along a Great Lake riverine-lacustrine continuum. Frontiers in microbiology, 14, 1073753. https://doi.org/10.3389/fmicb.2023.1073753; and
Crevecoeur, S., Phillips, L., Zastepa, A., Comte, J., Diep, N., Dove, A., Edge, T., Frenken, T., McKay, R. M., & Waston, S. B. (2025). Spatio-Temporal Resolution of Microbial Functions and Taxa Associated With Cyanobacterial Harmful Algae Blooms Along a 500-Km Aquatic Continuum in the Lake Erie Watershed. Environmental microbiology, 27(10), e70183. https://doi.org/10.1111/1462-2920.70183
Genomic sequencing data is hosted online at the National Center for Biotechnology Information (NCBI) and is currently publicly available under Project Accession Number PRJNA877648 (https://www.ncbi.nlm.nih.gov/sra/PRJNA877648).