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Data from: Environmental DNA metabarcoding elucidates freshwater mussel diversity and occupancy to facilitate improved management and conservation

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Mar 04, 2025 version files 67.16 GB

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Abstract

Aim: Freshwater mussels are considered among the most at-risk taxa in the world. As such, comprehensive monitoring assessments of what abiotic and biotic factors influence mussel occupancy will be vital for guiding effective conservation. Here, we analyzed vertebrate and mussel eDNA metabarcoding data to explore the influence of biotic (i.e., host fish diversity, predator presence, and community composition) and abiotic (i.e., drainage size, forest cover, stream order) factors on freshwater mussel populations.

Location: This study utilized water samples and tactile survey data collected from streams throughout Fort Johnson, Louisiana.

Methods: We first evaluated the effectiveness of environmental DNA (eDNA) metabarcoding for characterizing freshwater communities, based on previous conventional tactile surveys. Next, we used eDNA metabarcoding analysis for freshwater mussels and vertebrate species alongside remote sensing data to within an occupancy modeling framework to assess how various biotic and abiotic variables impact freshwater mussel eDNA occupancy.

Results: Our eDNA metabarcoding survey largely agreed with both historical and contemporary surveys on Fort Johnson, while uniquely detecting Pleurobema riddellii, a proposed threatened species under the US Endangered Species Act. We also found that eDNA detections and occupancy had strong seasonal variation, with increased read abundance and diversity in the spring. Vertebrate, fish, and predator diversity, as a function of habitat quality, were strongly predictive of mussel occupancy, supporting the concept of land managers focusing on the entire ecosystem for mussel conservation. Lastly, we found that percent forest cover and drainage basin size interact to influence mussel eDNA occupancy, informing habitat preferences for mussel species of interest (i.e., the mussels preferred larger drainage sizes and perennial streams).

Conclusions: Our results demonstrate that combining eDNA metabarcoding of target and non-target species with occupancy modeling can provide insights into the ecology of freshwater mussels and is a useful tool to improve their conservation and management.