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Validating post-enrichment steps in environmental RNA analysis for improving its availability from water samples.

Toshiaki S Jo1,2,3

  • 1Japan Society for the Promotion of Science, 5-3-1 Kojimachi, Chiyoda-Ku, Tokyo, 102-0083, Japan. toshiakijo@gmail.com.

Functional & Integrative Genomics
|November 17, 2023
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Summary

Optimizing environmental RNA (eRNA) analysis requires careful genomic DNA removal and reverse transcription methods. Gene-specific primers enhance eRNA yield, improving biodiversity monitoring accuracy.

Keywords:
Coefficient of variation (CV)Environmental RNA (eRNA)Genomic DNA (gDNA)Quantitative reverse transcription PCR (qRT-PCR)Reverse transcription (RT)Zebrafish (Danio rerio)

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Area of Science:

  • Environmental molecular biology
  • Metabarcoding and eDNA analysis
  • Aquatic ecosystem monitoring

Background:

  • Environmental RNA (eRNA) offers a non-invasive method for assessing biodiversity and ecosystem health.
  • Standardized protocols for eRNA extraction and processing are limited, hindering accurate interpretation.
  • Methodological improvements are needed to enhance the reliability of eRNA-based biomonitoring.

Purpose of the Study:

  • To optimize post-eRNA extraction technical steps for improved yield and accuracy.
  • To compare the performance of different genomic DNA removal and reverse transcription methods.
  • To analyze eRNA quantification variability at both PCR and sample levels.

Main Methods:

  • Zebrafish (Danio rerio) aquarium experiments were conducted to test protocols.
  • Genomic DNA (gDNA) removal efficiency and its impact on eRNA yield were assessed.
  • Reverse transcription using gene-specific primers versus random hexamers was compared.
  • eRNA quantification variability was evaluated across PCR and sample replicates.

Main Results:

  • A trade-off exists between gDNA removal stringency and eRNA yield; excessive removal risks false negatives.
  • Gene-specific primers significantly increased eRNA yields for both mitochondrial and nuclear genes.
  • eRNA quantification showed substantially lower variability between PCR replicates than between samples.

Conclusions:

  • Optimized gDNA removal and gene-specific primers enhance eRNA detection sensitivity and precision.
  • Understanding quantification variability is crucial for robust eRNA-based biomonitoring.
  • Further research is needed to refine macro-organismal eRNA detection for reliable ecosystem assessment.