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Marine pest introductions continue to occur and increase at accelerated rates, threatening the marine environment and blue economy. Environmental DNA (eDNA) is a tool for determining the presence of both indigenous and nonindigenous species, via the detection of genetic material that is shed into the local environment. Although eDNA approaches have gained widespread adoption in the last decade, fundamental knowledge gaps remain around factors that can influence the probability of detection, and how to optimize eDNA sampling in aquatic environments. Here, we partition eDNA research into four major research themes: eDNA concentration (shedding and decay), transport (advection and mixing), sampling design strategies, and the modeling of these dynamics. We review current developments and challenges in each theme with a focus on field sampling strategies and the use of biophysical models for understanding the movement of modeling eDNA in complex aquatic environments. We then introduce three modeling case studies from a large embayment where we (1) quantify the spatial and temporal variability of eDNA dispersion, (2) use biophysical models to inform a field sampling strategy, and (3) demonstrate a backtracking modeling technique to identify upstream DNA sources to an existing sample (monitoring) site. We conclude by identifying specific recommendations to help improve future eDNA studies. This work highlights how biophysical models can be applied to improve early detection and informing response and management decisions.
Marine pest introductions continue to occur and increase at accelerated rates, threatening the marine environment and blue economy. Environmental DNA (eDNA) is a tool for determining the presence of both indigenous and nonindigenous species, via the detection of genetic material that is shed into the local environment. Although eDNA approaches have gained widespread adoption in the last decade, fundamental knowledge gaps remain around factors that can influence the probability of detection, and how to optimize eDNA sampling in aquatic environments. Here, we partition eDNA research into four major research themes: eDNA concentration (shedding and decay), transport (advection and mixing), sampling design strategies, and the modeling of these dynamics. We review current developments and challenges in each theme with a focus on field sampling strategies and the use of biophysical models for understanding the movement of modeling eDNA in complex aquatic environments. We then introduce three modeling case studies from a large embayment where we (1) quantify the spatial and temporal variability of eDNA dispersion, (2) use biophysical models to inform a field sampling strategy, and (3) demonstrate a backtracking modeling technique to identify upstream DNA sources to an existing sample (monitoring) site. We conclude by identifying specific recommendations to help improve future eDNA studies. This work highlights how biophysical models can be applied to improve early detection and informing response and management decisions.
Freshwater mussels are traditionally monitored by visual observations which is time‐consuming and can be difficult depending on water conditions. Environmental DNA (eDNA) is an attractive alternative since it can detect a species in the water without visual observations. Furthermore, since the DNA can potentially travel downstream in the river systems, presence of a species can be detected even away from the population of mussels. In this paper, we evaluate and describe how dPCR (digital PCR) technique can be used to efficiently monitor four freshwater mussel species: the freshwater pearl mussel Margaritifera margaritifera from Margaritiferidae family and three species from Unionidae family: the depressed river mussel Pseudanodonta complanata, the painter's mussel Unio pictorum, and the thick shelled river mussel Unio crassus, which are all regarded endangered in many regions worldwide. dPCR assays for the four mussel species were developed and tested in silico before conducting field surveys. The verification step in the field was carried out in two Swedish rivers with confirmed populations of the freshwater pearl mussel (M. margaritifera). Furthermore, two other rivers with unknown presence of the endangered freshwater mussels were surveyed for occurrence of the four mussel species, using the capacity to multiplex several species simultaneously in a dPCR reaction. We furthermore showed that the target DNA concentrations probably depend on the season and water level, which may largely affect the detection probability and interpretation of the results in terms of population size.
Monitoring species distribution and abundance accurately and efficiently are vital for conservation efforts. Next-generation sequencing and DNA metabarcoding using environmental DNA (eDNA) allow for the simultaneous identification of multiple species in one sample, enabling swift biodiversity assessment in complex ecosystems. However, most eDNA studies focus on aquatic organisms and ecosystems.This study’s main objective was to use eDNA metabarcoding to monitor mammal and bird species in an urban ecological park. The chosen study site was Gildong Ecological Park, Seoul, South Korea, with a total area of 80,000 m² divided into three marsh area, a forested mountain area, and a rural experience learning center. Water sampling occurred five times from August to September, yielding 65 samples from three park sections. We employed MiMammal and MiBird primers targeting mitochondrial 12 S to investigate mammals and birds, serving as pivotal biological indicators within urban ecosystems.Metabarcoding revealed the presence of 73% (11/15) and 67% (represented 67% of the total 6268 individual) of the dominant mammalian and avian species, respectively, known to inhabit the park, compared to the results of traditional surveys. The mountain samples (1.51) and marsh samples (2.32) had significantly different median read counts when including all species; however, the same comparison within each taxonomic group yielded no statistically significant differences. Though we detected species differences using eDNA across summer, autumn, and winter monitoring, no statistically significant differences were found among seasons within the park. However, the park’s area is relatively small for detecting variations in eDNA. This might be because there is a lot of animal activity throughout the study site and/or a limited influence of microhabitats. These results could provide valuable insights for using eDNA to monitor animals in urban ecological parks.
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