Keywords

HABs, harmful algal blooms, metabarcoding, eDNA, microbial eukaryotes, plankton, amplicon sequence variants

Abstract

Increasing incidence of Harmful Algal Blooms (HABs) has led to fish kills, air quality hazards, and economic impacts. One economic impact is on tourism, one of the main sources of Florida’s income, where billions of dollars are lost to such events. The Florida Fish and Wildlife Conservation Commission Fish and Wildlife Research Institute (FWC-FWRI), with the help of collaborators, collects water samples from across the state for HAB monitoring. These samples are stored at ambient temperature for up to 24 hours which could directly affect data analyses. Here, in collaboration with FWRI-FWC, I investigated whether this storage technique affects plankton community composition and thus their assessments. Water samples were collected from a single fixed location in the Indian River Lagoon and processed at six timepoints: 0, 3, 6, 12, 24, and 48 hours after collection. To characterize changes in plankton community composition, DNA metabarcoding was employed using universal primer sets targeting the 18S V9 and 16S V3-V4 ribosomal RNA genes. DNA metabarcoding yielding 1,601 18S amplicon sequence variants (ASVs), and 13,537 16S ASVs. Beta diversity analysis of these ASVs by timepoint using Bray-Curtis dissimilarity based on composition and abundance showed significant shifts in the composition over time. However, the major constituents were present at all timepoints. These results suggest that the effects of sample storage methods on community composition are dependent on the question at hand.

Thesis Completion Year

2026

Thesis Completion Semester

Spring

Thesis Chair

Gaither, Michelle R.

College

College of Sciences

Department

Biology

Thesis Discipline

Ecology

Access Status

Open Access

Length of Campus Access

None

Campus Location

Orlando (Main) Campus

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Rights Statement

In Copyright