Exploring DNA Metabarcoding for Stream Health

Sep 18, 2024

Freshwater Macroinvertebrates and DNA Metabarcoding

Importance of Freshwater Macroinvertebrates

  • Indicators of stream health
  • Assess human impact on stream ecosystems
  • Aim for better stream management and freshwater resource security

Challenges of Taxa Identification

  • Routine monitoring uses morphological characteristics for identification
  • Difficulty identifying some taxa at the species level
  • Time-consuming identification process
  • Adults can be identified reliably by experts

Genetic Barcoding Technique

  • Use of CO1 barcode for sequencing specimens
  • Creation of a reference database for reliable identification
  • DNA barcoding allows species-level identification but is expensive for routine monitoring

DNA Metabarcoding Technique

  • New technology enables simultaneous identification of all specimens in a sample
  • Process involves:
    • DNA extraction from homogenized samples
    • Amplification of barcoding gene using polymerase chain reaction (PCR)
    • High-throughput sequencing
  • Generates millions of sequences for analysis

Study Overview

  • Presented by Vasco Elbrecht from University Duisburg-Essen
  • Co-authors include Edith Wammus, Florian Lese, Christian Meissner, Jukka Arovjeta
  • Investigated efficiency of DNA metabarcoding in routine monitoring of macroinvertebrates
  • Analyzed 18 samples from Finnish monitoring programs for stream quality

Sample Processing and Sequencing

  • Samples dried and homogenized for DNA extraction
  • Four different primer combinations used to amplify CO1 barcode
  • BF-BR primer sets specifically developed for freshwater macroinvertebrates
  • Used Fusion Primer System for tagging and pooling samples
  • Sequenced two replicates per sample for a total of 144 samples.
  • High sequencing depth achieved: 260 million read pairs, average 1.53 million reads per sample

Data Processing

  • Reads demultiplexed and preprocessed for clustering
  • Quality control measures applied: trimming, filtering, and dereplication
  • Taxonomy assigned using BOLT and NCBI reference databases
  • Comparison of DNA-based identifications with morphological identifications

Results

  • DNA metabarcoding identified approximately 60% more taxa per sample compared to morphology
  • However, around 30% of taxa identified morphologically were not detected by DNA metabarcoding
  • DNA metabarcoding can accurately identify taxa, especially challenging larval stages
  • Assessment indices based on DNA and morphology showed similar results, indicating viability for ecosystem assessment

Challenges and Limitations

  • Primer bias affects amplification and detection of taxa
  • Misidentification of taxa can lead to discrepancies
  • Limited taxonomic expertise affects database accuracy
  • PCR inhibition can impact the efficiency of DNA extraction from mixed samples

Potential Solutions

  • Improve reference databases through better curation and expert collaboration
  • Use size sorting and ecosystem-specific primers to enhance accuracy
  • Standardize and validate protocols for DNA metabarcoding to set quality standards

Conclusion

  • DNA metabarcoding is a promising method for macroinvertebrate monitoring and assessing stream health
  • Further testing and improvements needed for routine application
  • Study results provided in detail in the referenced manuscript
  • Questions encouraged regarding the study or DNA metabarcoding in general.