Wright, M. T. G. | bioRxiv Science

bioRxiv2020

Propylene glycol-based antifreeze as an effective preservative for DNA metabarcoding of benthic arthropods

Maintaining the integrity of DNA in bulk environmental samples from source to laboratory is crucial for capturing the true range of taxa present within an ecosystem. Preservation consideration of DNA is particularly important if samples are being collected in remote areas and by non-specialist citizen scientists in nationwide programs. Traditionally, absolute ethanol is used as the preferred preservative for environmental samples collected for downstream DNA metabarcoding analyses. However, transport, shipping and DNA extraction of samples preserved in ethanol is a lengthy procedure due to safety restrictions and the requirement of full ethanol evaporation prior to extraction. We examined the efficacy of an easily accessible, non-toxic propylene glycol-based antifreeze as an alternative to absolute ethanol for preserving macroinvertebrate DNA from bulk-benthos DNA samples. We tested the differences in both cytochrome oxidase I (COI) exact sequence variants (ESVs) and COI taxonomic orders detected in both ethanol and antifreeze samples using two processing methods (no evaporation of preservative versus full evaporation). In addition, we assessed the detection of families and genera within the Arthropoda phylum for preservative type, site and processing method. Our results suggest that antifreeze is a suitable alternative to ethanol, a greater global ESV richness reported for antifreeze samples. Additionally, a higher proportion of arthropod reads in ESVs were detected in antifreeze (average 69%) compared with ethanol (average 53%). Finally, antifreeze samples produced similar results for the different processing methods, whereas ethanol samples failed to produce similar results without prior evaporation. Although ethanol is currently widely used for DNA preservation, our results demonstrate that by using antifreeze, it is possible to achieve similar taxonomic coverage and community assemblages of bulk-benthos DNA samples for macroinvertebrates, with the added simplicity and shorter laboratory processing time achieved using an easily available, unregulated preservative.

genomics↗

bioRxiv2019

Metabarcoding a Metacommunity: detecting change in a wetland wilderness

The complexity and natural variability of ecosystems present a challenge for reliable detection of change due to anthropogenic influences. This issue is exacerbated by necessary trade-offs that reduce the quality and resolution of survey data for assessments at large-scales. The Peace-Athabasca Delta (PAD) is a large inland wetland complex in northern Alberta, Canada. Despite its geographic isolation, the PAD is threatened by encroachment of oil sands mining in the Athabasca watershed, and hydroelectric dams in the Peace watershed. Methods capable of reliably detecting changes in ecosystem health are needed to evaluate and manage risks. Between 2011 and 2016, aquatic macroinvertebrates were sampled across a gradient of wetland flood frequency, applying both microscope-based morphological identification, and DNA metabarcoding. Using multi-species occupancy models, we demonstrate that DNA metabarcoding detected a much broader range of taxa and more taxa per sample compared to traditional morphological identification, and was essential to identifying significant responses to flood and thermal regimes. We show that family-level occupancy masks high variation among genera, and for the first time, quantify the bias of barcoding primers on the probability of detection in a natural community. Interestingly, patterns of community assembly were near random, suggesting a strong role of stochasticity in the dynamics of the metacommunity. This variability seriously compromises effective monitoring at local scales, but also reflects resilience to hydrological and thermal variability. Nevertheless, simulations showed the greater efficiency of metabarcoding, particularly at a finer taxonomic resolution, provided the statistical power needed to detect change at the landscape scale.

ecology↗