Defense Date

8-6-2026

Document Type

Thesis

Degree Type

Master of Science

Degree Name

Marine Science

First Advisor

Susana Caballero Ph.D.

Second Advisor

Ramon Bonfil Ph.D.

Third Advisor

Cindy Gonzalez Ph.D.

Fourth Advisor

Derek Burkholder Ph.D.

Keywords

environmental DNA (eDNA), metabarcoding, elasmobranchs, Mexico, nursery habitats, marine conservation

Abstract

Elasmobranchs play a critical ecological role in marine environments, yet many populations worldwide remain poorly known and monitored. This is particularly true in Mexico despite its high biodiversity and ongoing fishing pressures. Traditional monitoring methods, such as commercial fisheries and fishery-independent surveys using longlines or nets, are often limited, leaving important knowledge gaps. Previous studies have shown that environmental DNA (eDNA), small traces of DNA left behind in the water column from feces, skin, or mucus, is a transformative, non-invasive tool for detecting elasmobranch presence and diversity across marine ecosystems.

This project used eDNA metabarcoding to detect and identify elasmobranch species off the coast of Quintana Roo, Mexico, with a focus on areas of high biodiversity and potential nursery habitats. Additional objectives included comparing eDNA results with existing fisheries-independent data (BRUVs and longline surveys), evaluating the effectiveness and limitations of eDNA for monitoring elasmobranch populations, analyzing changes in species presence over time, and identifying potential nursery habitats when paired with BRUVs and longline surveys. Only six of the 65 sequenced samples produced elasmobranch detections, all corresponding to bonnethead sharks (Sphyrna tiburo) from Bahía de la Ascensión. Limited detection success likely reflects methodological and biological factors, including low eDNA concentrations, primer bias, limited filtration volume, and variation in eDNA shedding and persistence. Although detection success was limited, these results demonstrate the potential of eDNA metabarcoding to complement traditional monitoring methods while emphasizing the need for methodological refinements to improve detection of elasmobranch communities

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