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Harper, KJ, Goodwin, KD, Harper, LR, LaCasella, EL, Frey, A and Dutton, PH (2020) Finding Crush: Environmental DNA Analysis as a Tool for Tracking the Green Sea Turtle Chelonia mydas in a Marine Estuary. Frontiers in Marine Science, 6. ISSN 2296-7745
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Harper et al. 2020 - Finding Crush - Environmental DNA Analysis as a Tool for Tracking the Green Sea Turtle Chelonia mydas in a Marine Estuary.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Environmental DNA (eDNA) analysis is a rapid, non-invasive method for species detection and distribution assessment using DNA released into the surrounding environment by an organism. eDNA analysis is recognised as a powerful tool for detecting endangered or rare species in a range of ecosystems. Although the number of studies using eDNA analysis in marine systems is continually increasing, there appears to be no published studies investigating the use of eDNA analysis to detect sea turtles in natural conditions. We tested the efficacy of two primer pairs known to amplify DNA fragments of differing lengths (488 and 253 bp) from Chelonia mydas tissues for detecting C. mydas eDNA in water samples. The capture, extraction, and amplification of C. mydas eDNA from aquaria (Sea World, San Diego, CA, United States) and natural water (San Diego Bay, CA, United States) were successful using either primer set. The primer pair providing the shorter amplicon, LCMint2/H950g, demonstrated the ability to distinguish cross-reactive species by melt curve analysis and provided superior amplification metrics compared to the other primer set (LTCM2/HDCM2); although primer dimer was observed, warranting future design refinement. Results indicated that water samples taken from deeper depths might improve detection frequency, consistent with C. mydas behaviour. Overall, this pilot study suggests that with refinement of sampling methodology and further assay optimisation, eDNA analysis represents a promising tool to monitor C. mydas. Potential applications include rapid assessment across broad geographical areas to pinpoint promising locations for further evaluation with traditional methods.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0405 Oceanography, 0602 Ecology |
| Subjects: | Q Science > QH Natural history > QH301 Biology Q Science > QH Natural history > QH426 Genetics Q Science > QL Zoology |
| Divisions: | Biological & Environmental Sciences (from Sep 19) |
| Publisher: | Frontiers Media |
| Related URLs: | |
| Date Deposited: | 02 Jul 2020 10:59 |
| Last Modified: | 04 Sep 2021 07:04 |
| DOI or ID number: | 10.3389/fmars.2019.00810 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/13228 |
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