Testing the effectiveness of genetic monitoring using genetic non‐invasive sampling

Anthony James Schultz; Kasha Strickland; Romane H Cristescu; Jonathan Hanger; Deidre Villiers; Céline H Frère

doi:10.1002/ece3.8459

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Testing the effectiveness of genetic monitoring using genetic non‐invasive sampling

Journal article

Open access

Peer reviewed

Testing the effectiveness of genetic monitoring using genetic non‐invasive sampling

Anthony James Schultz, Kasha Strickland, Romane H Cristescu, Jonathan Hanger, Deidre Villiers and Céline H Frère

Ecology and Evolution, Vol.12(1), pp.1-12

2021

DOI: https://doi.org/10.1002/ece3.8459

PMCID: PMC8794716

PMID: 35127011

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Abstract

degradation

koala

monitoring

non-invasive

population genetics

simulation

SNP

Effective conservation requires accurate data on population genetic diversity, inbreeding, and genetic structure. Increasingly, scientists are adopting genetic non-invasive sampling (gNIS) as a cost-effective population-wide genetic monitoring approach. gNIS has, however, known limitations which may impact the accuracy of downstream genetic analyses. Here, using high-quality single nucleotide polymorphism (SNP) data from blood/tissue sampling of a free-ranging koala population (n = 430), we investigated how the reduced SNP panel size and call rate typical of genetic non-invasive samples (derived from experimental and field trials) impacts the accuracy of genetic measures, and also the effect of sampling intensity on these measures. We found that gNIS at small sample sizes (14% of population) can provide accurate population diversity measures, but slightly underestimated population inbreeding coefficients. Accurate measures of internal relatedness required at least 33% of the population to be sampled. Accurate geographic and genetic spatial autocorrelation analysis requires between 28% and 51% of the population to be sampled. We show that gNIS at low sample sizes can provide a powerful tool to aid conservation decision-making and provide recommendations for researchers looking to apply these techniques to free-ranging systems.

Details

Title: Testing the effectiveness of genetic monitoring using genetic non‐invasive sampling
Authors: Anthony James Schultz (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science and Engineering - Legacy
Kasha Strickland (Author) - University of the Sunshine Coast, Queensland, School of Science and Engineering - Legacy
Romane H Cristescu (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Jonathan Hanger (Author) - Endeavour Veterinary Ecology Pty Ltd
Deidre Villiers (Author) - Endeavour Veterinary Ecology Pty Ltd
Céline H Frère (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Publication details: Ecology and Evolution, Vol.12(1), pp.1-12
Publisher: John Wiley & Sons Ltd.
Date published: 2021
DOI: 10.1002/ece3.8459
ISSN: 2045-7758
PMID: 35127011; PMC8794716
Copyright note: © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering
Language: English
Record Identifier: 99603206002621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Ecology; Evolutionary Biology