Assessing reliability of microsatellite genotypes from kit fox faecal samples using genetic and GIS analyses

Area of Science:

• Conservation genetics
• Wildlife biology
• Population monitoring

Background:

• Noninvasive fecal DNA sampling is crucial for endangered species management, but genotyping errors can compromise data reliability.
• Accurate individual identification and population estimates are vital for effective conservation strategies.

Purpose of the Study:

• To evaluate genotyping error rates in kit fox fecal DNA samples.
• To assess the feasibility of combining genetic and GIS analyses for improving data reliability.
• To validate the use of fecal genotypes for studying kit fox population dynamics.

Main Methods:

• Analysis of a kit fox scat dataset (353 scats, 80 genotypes) using genetic and GIS techniques.
• Examination of sex primer consistency and scat location distributions to identify potential errors.
• Comparison of data derived from fecal genotypes with traditional field techniques.

Main Results:

• Genetic analyses indicated a low rate of genotyping error in the dataset.
• GIS analysis of scat locations corroborated the low error rate, suggesting a reliable dataset.
• Combining genetic and location data effectively identified potential errors, reducing laboratory workload.
• 'Acceptable' genotypes provided insights into kit fox sex ratios, relatedness, movement, and home range.

Conclusions:

• Combining genetic and GIS analyses is a feasible and effective method for assessing the reliability of fecal DNA data.
• Noninvasive fecal DNA sampling, when rigorously analyzed, provides accurate and reliable data for monitoring endangered species like kit foxes.
• The validated method supports the use of fecal genotypes for comprehensive population studies, including social structure and spatial ecology.