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Unlocking Demography: Developing an eDNA-Based Toolkit to Measure Sex Ratios From Populations.

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Summary
This summary is machine-generated.

This study introduces an environmental DNA (eDNA) method using sex-specific single nucleotide polymorphism (SNP) alleles to non-invasively monitor population sex ratios. The technique shows promise for conservation by providing insights into population dynamics.

Keywords:
amphibianbiodiversity monitoringdemographyenvironmental DNApopulation dynamics

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Area of Science:

  • Ecology
  • Conservation Biology
  • Molecular Ecology

Background:

  • Accurate demographic data, including sex ratios, are crucial for effective population dynamics assessment and conservation planning.
  • Traditional methods for determining sex ratios in wild populations face significant logistical, ethical, and legal challenges.
  • Environmental DNA (eDNA) offers a non-invasive approach to biodiversity monitoring, but its application for demographic parameter estimation is underdeveloped.

Purpose of the Study:

  • To develop and validate an eDNA-based method for non-invasively monitoring population sex ratios using sex-specific single nucleotide polymorphism (SNP) alleles.
  • To assess the feasibility and accuracy of quantifying sex ratios in Balkan crested newts (Triturus ivanbureschi) from eDNA.
  • To explore the potential of this method for large-scale, non-invasive sex ratio monitoring in conservation efforts.

Main Methods:

  • Utilized RADseq data from Balkan crested newts to identify a male-specific SNP allele.
  • Developed a Droplet Digital PCR (ddPCR) assay to quantify allele ratios in both mock DNA mixtures and environmental samples.
  • Validated the assay's performance against known sex ratios and assessed factors influencing accuracy, such as biomass correction and inter-individual variation.

Main Results:

  • Successfully identified a male-specific allele absent in females, enabling sex discrimination.
  • The ddPCR assay accurately distinguished between male- and female-biased ratios in mock samples.
  • eDNA sex ratio estimates correlated with population composition, especially after biomass correction, despite lower resolution compared to direct samples.

Conclusions:

  • The developed eDNA-based SNP genotyping method is a promising tool for non-invasive sex ratio monitoring in wild populations.
  • Further field validation and optimization, including maximizing nuclear eDNA recovery and accounting for life history traits, are essential for robust application.
  • This method has the potential to significantly enhance conservation strategies by providing crucial insights into population phenology and dynamics.