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• W2892909062 startingPage "12428" @default.
• W2892909062 abstract "Interpretation of environmental DNA (eDNA) is a major problem hindering the application of this emerging technology for environmental monitoring. The decay characteristics and bioabundance estimation of different DNA fragment lengths are largely unknown, especially for eDNA captured from surface sediments. An estuarine amphipod, Grandidierella japonica, was used as the target species in this study. We conducted a lab-scale experiment using DNA extraction to clarify the effect of bacteria on eDNA decay. We also conducted a microcosm experiment using amphipods to clarify interpretations of information regarding eDNA decay and bioabundance estimation by using two fragments with different lengths (126 and 358 bp). It was found that the bacteria concentration accelerated eDNA decay, and long fragments were more susceptible to bacteria, thus decaying faster, than short fragments in the exponential decay period. The fresh eDNA (collected within 24 h of removing the amphipods) was more indicative of bioabundance than old eDNA (collected 240–480 h after removing amphipods), and short fragments better reflected bioabundance than long fragments. Finally, we compared the half-life of eDNA in surface sediment with that in a water sample and found that the temporal scales of surface sediment and water are similar (days to weeks). Our results suggest that surface sediment also has the potential to monitor the environment at a temporal scale similar to water." @default.
• W2892909062 created "2018-10-05" @default.
• W2892909062 creator A5010436791 @default.
• W2892909062 creator A5030176542 @default.
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• W2892909062 date "2018-09-28" @default.
• W2892909062 modified "2023-10-01" @default.
• W2892909062 title "A Microcosm Study of Surface Sediment Environmental DNA: Decay Observation, Abundance Estimation, and Fragment Length Comparison" @default.
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• W2892909062 doi "https://doi.org/10.1021/acs.est.8b04956" @default.
• W2892909062 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30265799" @default.
• W2892909062 hasPublicationYear "2018" @default.
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