Lake Erie Cyanobacterial Bloom Microbiome Genomic Data

Genomic sequencing data from a 2023-2025 study of cyanobacterial harmful algal blooms (cHABs) along a 500-km continuum in the Lake Erie watershed. The dataset, associated with two peer-reviewed publications, characterizes the aquatic microbiome community to assess its role in nutrient cycling and bloom toxicity. Data is publicly available under NCBI Project Accession PRJNA877648.

Use Cases

• Analyze microbial community composition and function data to model factors driving cyanobacterial harmful algal blooms (cHABs).
• Use genomic sequence data to predict the potential toxicity of algal blooms in the Lake Erie watershed.
• Assess spatio-temporal patterns in nutrient cycling functions within the aquatic microbiome associated with blooms.

Strengths

• Data is linked to two peer-reviewed publications (2023, 2025) providing full methodological details, QA/QC, and interpretations.
• Study covers a 500-km aquatic continuum within the Lake Erie watershed, offering spatial context.
• Genomic data is hosted at the authoritative National Center for Biotechnology Information (NCBI) under a public accession.

Limitations

• The specific data structure (rows, columns, file formats beyond HTML) is not described, complicating direct analytical use.
• As a genomic sequencing dataset, it requires specialized bioinformatics tools and expertise for processing and analysis.

Provenance

Source

Environment and Climate Change Canada, published in Frontiers in Microbiology and Environmental Microbiology.

Collection Method

Genomic sequencing of aquatic microbiome samples, with details in cited publications.

Time Range

Study period referenced in 2023 and 2025 publications.

Freshness

Last updated March 2026, with underlying research published up to 2025.

Geography

Lake Erie watershed, along a 500-km riverine-lacustrine continuum.