AI Article Synopsis

  • eDNA sampling, like qPCR and metabarcoding, has been shown to be more sensitive than traditional seining methods for detecting endangered species such as the northern tidewater goby.
  • While eDNA methods require fewer samples for effective detection, costs vary based on method and number of locations sampled, with qPCR sometimes being more cost-effective than metabarcoding, depending on specific conditions.
  • Seining, despite being the least cost-effective for species detection, offers advantages for assessing fish density and distribution quickly, which eDNA methods cannot provide.

Article Abstract

Many studies have shown that environmental DNA (eDNA) sampling can be more sensitive than traditional sampling. For instance, past studies found a specific qPCR probe of a water sample is better than a seine for detecting the endangered northern tidewater goby, . Furthermore, a metabarcoding sample often detects more fish species than a seine detects. Less consideration has been given to sampling costs. To help managers choose the best sampling method for their budget, I estimated detectability and costs per sample to compare the cost effectiveness of seining, qPCR and metabarcoding for detecting endangered tidewater gobies as well as the associated estuarine fish community in California. Five samples were enough for eDNA methods to confidently detect tidewater gobies, whereas seining took twice as many samples. Fixed program costs can be high for qPCR and seining, whereas metabarcoding had high per-sample costs, which led to changes in relative cost-effectiveness with the number of locations sampled. Under some circumstances (multiple locations visited or an already validated assay), qPCR was a bit more cost effective than metabarcoding for detecting tidewater gobies. Under all assumptions, seining was the least cost-effective method for detecting tidewater gobies or other fishes. Metabarcoding was the most cost-effective sampling method for multiple species detection. Despite its advantages, metabarcoding has gaps in sequence databases, can yield vague results for some species, and can lead novices to serious errors. Seining remains the only way to rapidly assess densities, size distributions, and fine-scale spatial distributions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10903359PMC
http://dx.doi.org/10.7717/peerj.16847DOI Listing

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The federally endangered sister species, Eucyclogobius newberryi (northern tidewater goby) and E. kristinae (southern tidewater goby) comprise the California endemic genus Eucyclogobius, which historically occurred in all coastal California counties. Isolated lagoons that only intermittently connect to the sea are their primary habitat.

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Article Synopsis
  • eDNA sampling, like qPCR and metabarcoding, has been shown to be more sensitive than traditional seining methods for detecting endangered species such as the northern tidewater goby.
  • While eDNA methods require fewer samples for effective detection, costs vary based on method and number of locations sampled, with qPCR sometimes being more cost-effective than metabarcoding, depending on specific conditions.
  • Seining, despite being the least cost-effective for species detection, offers advantages for assessing fish density and distribution quickly, which eDNA methods cannot provide.
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Phylogeography of the tidewater goby, Eucyclogobius newberryi (Teleostei, Gobiidae), in coastal California.

Evolution

June 2001

Department of Organismic Biology, Ecology, and Evolution, University of California, Los Angeles 90095-1606, USA.

The tidewater goby, Eucyclogobius newberryi, inhabits discrete, seasonally closed estuaries and lagoons along approximately 1500 km of California coastline. This species is euryhaline but has no explicit marine stage, yet population extirpation and recolonization data suggest tidewater gobies disperse intermittently via the sea. Analyses of mitochondrial control region and cytochrome b sequences demonstrate a deep evolutionary bifurcation in the vicinity of Los Angeles that separates southern California populations from all more northerly populations.

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