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- W4234437631 abstract "The viability of DNA metabarcoding for assessment of freshwater macrozoobenthos has been demonstrated over the past years. It matured to a stage where it can be applied to monitoring at a large scale, keeping pace with increased high throughput sequencing (HTS) capacity. However, workflows and sample tagging need to be optimized to accommodate for hundreds of samples within a single sequencing run. We here conceptualize a streamlined metabarcoding workflow, in which samples are processed in 96-well plates. Each sample is replicated starting with tissue extraction. Negative and positive controls are included to ensure data reliability. With our newly developed fusion primer sets for the BF2+BR2 primer pair up to three 96-well plates (288 wells) can be uniquely tagged for a single Illumina sequencing run. By including Illumina indices tagging can be extended to thousands of samples. We hope that our metabarcoding workflow will be used as a practical guide for future large-scale biodiversity assessments involving freshwater invertebrates. However, we also want to point out that this is just one approach, and that we hope this article will stimulate discussion and publication of alternatives and extensions." @default.
- W4234437631 created "2022-05-12" @default.
- W4234437631 creator A5006011875 @default.
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- W4234437631 date "2018-02-22" @default.
- W4234437631 modified "2023-09-27" @default.
- W4234437631 title "Scaling up DNA metabarcoding for freshwater macrozoobenthos monitoring" @default.
- W4234437631 doi "https://doi.org/10.7287/peerj.preprints.3456v3" @default.
- W4234437631 hasPublicationYear "2018" @default.
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