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Using patterns in prey DNA digestion rates to quantify predator diets.

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Dietary metabarcoding can now quantify prey proportions using DNA half-lives. This new method predicts DNA degradation rates, improving ecological diet analysis for biocontrol and food webs.

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Area of Science:

  • Ecology
  • Molecular Ecology
  • Bioinformatics

Background:

  • Dietary metabarcoding identifies prey DNA in consumers but yields semi-quantitative data.
  • False negatives in metabarcoding prevent accurate inference of prey frequencies in diets.
  • Existing methods to correct for DNA detectability are time-intensive, limiting application to simple predator-prey systems.

Purpose of the Study:

  • To develop a method for quantitatively assessing predator diets using DNA metabarcoding.
  • To identify factors influencing DNA detectability and establish a predictive model for DNA half-lives.
  • To apply the new method to diverse ecological systems for improved diet analysis.

Main Methods:

  • Conducted a meta-analysis of 24 spider prey DNA half-life data.
  • Developed a predictive model for DNA half-lives based on predator/prey mass, predator family, digestion temperature, and amplicon length.
  • Applied a novel weighting technique to published dietary metabarcoding data.

Main Results:

  • Spider prey DNA half-lives are predictable based on several biological and experimental factors.
  • The new weighting technique allows for the calculation of prey proportions in diets, not just rankings.
  • Analysis of 35 prey families revealed accurate diet proportions and predator-prey half-lives.

Conclusions:

  • This study presents a significant advancement in the quantitative analysis of dietary metabarcoding data.
  • The developed method overcomes limitations of previous techniques, enabling more accurate ecological diet studies.
  • The findings enhance our understanding of predator diets in complex, real-world ecosystems.