A simple method for preserving environmental DNA in water samples at ambient temperature by addition of cationic surfactant

By H. Yamanaka, Toshifumi Minamoto, Junichi Matsuura, S. Sakurai, Satsuki Tsuji, Hiromu Motozawa, Masamichi Hongo, Y. Sogo, Naoki Kakimi, Iori Teramura and 3 more. Limnology, 2017

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Environmental DNA (eDNA) analysis is a powerful tool within ecology for the study of the distribution or abundance of aquatic species, although the simplification of water sampling is required for enabling light and fast field sampling to expand further application of eDNA analysis. Here, certain candidate chemicals belonging to the group of cationic surfactants were examined for their effectiveness as preservatives for eDNA water samples by simply adding the chemicals to water samples to suppress the degradation of eDNA. The quaternary ammonium compound benzalkonium chloride (BAC) at a final concentration of 0.01% was effective to retain 92% of eDNA derived from the bluegill sunfish Lepomis macrochirus in an 8-h incubation test at ambient temperature, which assumed a transportation of water samples in 1-day field sampling during the daytime. Meanwhile, eDNA in water samples without BAC retained only 14% of the initial eDNA. Moreover, an additional long-term incubation test (up to 10 days) revealed BAC-treated samples retained ~70 and 50% of bluegill DNA compared to the initial amount after 1- and 10-day incubation at ambient temperature, respectively. Meanwhile, eDNA in naïve samples reduced to 20% after 1-day incubation and reached undetectable levels after 10 days. Up to now, many eDNA studies have adopted on-site filtration followed by filter fixation, which requires many pieces of equipment. Addition of BAC can protect eDNA in water samples with less effort and equipment resulting in an increase of measurement accuracy of the eDNA quantity and detection probability of rare species by preventing the disappearance of rare sequences in water samples.

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/97e2dd235f23e7a33e5d5707e85cdca5b9d54ac1

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In Ecology

  1. Neil J. Gemmell
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  1. Xavier Pochon

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