Data from: Refining sampling efforts for fish diversity assessment in subtropical urban estuarine and oceanic waters using environmental DNA with multiple primers
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https://datadryad.org/dataset/doi:10.5061/dryad.08kprr58c
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资源简介:
The environmental DNA (eDNA) approach is an emerging tool for monitoring
marine biodiversity. However, the sampling effort needs optimization
according to the site characteristics and target taxonomic groups. In this
study, we optimized the eDNA sampling effort in terms of sample volume and
number of replicates to monitor the diversity of marine vertebrates
(mainly fish) in Hong Kong's subtropical waters that show a gradient
of estuarine to oceanic waters. To maximize detection, we used three pairs
of metabarcoding primers (12S‐v5, MiFish‐U, and MiFish‐E). We compared
vertebrate diversity in 78 water samples, ranging from 1 to 10 L,
collected from oceanic and estuarine sites. Metabarcoding yielded a total
of 140 vertebrate species, of which 18 were unique to the estuarine site,
66 unique to the oceanic site, and 56 shared between both sites. The
detected species were predominantly ray‐finned fish (136 species), and the
three primer pairs exhibited differential sensitivity toward different
taxa, especially cartilaginous fish and cetaceans. Increasing sampling
volume per replicate generally increased the total detected species,
average species per replicate, and species coverage, and sampling 3 or 4 ×
4 L represented the most efficient sampling effort for the estuarine and
oceanic sites, respectively. The diversity analysis revealed that sampling
>2 L per replicate reduced variability and improved diversity
analysis. The results also showed that a larger sampling volume per
replicate increased the probability of detecting endangered, indicator,
invasive, and elusive species, with 4 L representing the most efficient
volume. This study recommended sampling 4 L per replicate and 3 replicates
for estuarine and 4 for oceanic sites, respectively for effectively
monitoring marine fish in subtropical waters using the eDNA approach.
提供机构:
Dryad
创建时间:
2024-11-27



