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- W2600802104 abstract "ABSTRACTIn this study, we assessed the use of DNA metabarcoding as a method for biodiversity assessment of benthic-epiphytic dinoflagellate communities and for detecting rare, toxin-producing taxa. Mock communities and three primer pairs were used to establish the recovery of species signal and quantitative representation of species in the samples, as well as to determine primer biases, bioinformatic filtering steps, and threshold levels. Samples were analysed using high-throughput sequencing Illumina™ MiSeq technology. We did not find a relationship between read number and cell abundance for all treatments. However, the method was extremely sensitive, with two of the primer pairs detecting a single cell representing less than 0.001% of the cells in the sample. Benthic and epiphytic dinoflagellate communities were also collected from the Bay of Islands (Northland, New Zealand). Dinophyceae species richness was much higher when samples were analysed using metabarcoding than when analysed by microscopy, and..." @default.
- W2600802104 created "2017-04-07" @default.
- W2600802104 creator A5070048995 @default.
- W2600802104 creator A5070705044 @default.
- W2600802104 creator A5077003877 @default.
- W2600802104 creator A5089365488 @default.
- W2600802104 date "2017-03-15" @default.
- W2600802104 modified "2023-10-03" @default.
- W2600802104 title "Assessment of the metabarcoding approach for community analysis of benthic-epiphytic dinoflagellates using mock communities" @default.
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