ArticleEvolutionary applications2018
Genetic and genomic monitoring with minimally invasive sampling methods.
Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- Development of a SNP Amplicon Panel for Invasive Deer Faecal Pellets and the Effects of Environmental Exposure on Genotyping Success.Ecology and evolution · 2026Article
- Umbilical Cord: A Non-Invasive DNA Source for Sea Turtle Genomics.Molecular ecology resources · 2026Article
- Wild Pedigree exploreR (wpeR): Streamlined Analysis and Visualization of Wild Pedigrees in Time and Space.Molecular ecology resources · 2026Article
- Leveraging Next-Generation Tools for Genetic Assessment and Demographic Monitoring in Threatened and Elusive Humboldt Martens.Evolutionary applications · 2026Article
- Individual Identification of Prey in Carnivore Scats.Molecular ecology resources · 2026Article
- Assessment of two minimally invasive methodologies for sex identification in the European eel, Anguilla anguilla.Journal of fish biology · 2026Article
- Estimating the Abundance of a Cryptic, Endangered Marsupial, Mala (Ecology and evolution · 2026Article
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- Adaptive Genetic Variation in Black-and-White Snub-Nosed Monkeys (Ecology and evolution · 2026Article
- Article
- Development of Metagenomic Methods for Health Monitoring of Endangered Species Using Fecal Samples.Evolutionary applications · 2026Article
- Genetic Diversity Unveiled: Cost-Effective Methods for Grassland Species.Molecular ecology resources · 2026Article
- Development of a cost-effective, multifunctional SNP panel and analysis workflow for Wolf monitoring in Finland.Scientific reports · 2025Article
- First Assembly of a Draft Genome of the Critically Endangered Northern Muriqui (Ecology and evolution · 2025Article
- Noninvasive sampling reveals landscape genetic structure in the threatened ghost bat (Macroderma gigas) in an ore-rich region of Western Australia.The Journal of heredity · 2025Article
- Scaling-up RADseq methods for large datasets of non-invasive samples: Lessons for library construction and data preprocessing.Molecular ecology resources · 2025Article
- The Application of Microsatellite Markers as Molecular Tools for Studying Genomic Variability in Vertebrate Populations.Current issues in molecular biology · 2025Review
- Development of a SNP Panel for Geographic Assignment and Population Monitoring of Jaguars (Ecology and evolution · 2025Article
- A Pipeline and Recommendations for Population and Individual Diagnostic SNP Selection in Non-Model Species.Molecular ecology resources · 2025Article
- The complete mitogenome of Amazonian Brachyplatystoma filamentosum and the evolutionary history of body size in the order Siluriformes.Scientific reports · 2025Article
8 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The decreasing cost and increasing scope and power of emerging genomic technologies are reshaping the field of molecular ecology. However, many modern genomic approaches (e.g., RAD-seq) require large amounts of high-quality template DNA. This poses a problem for an active branch of conservation biology: genetic monitoring using minimally invasive sampling (MIS) methods. Without handling or even observing an animal, MIS methods (e.g., collection of hair, skin, faeces) can provide genetic information on individuals or populations. Such samples typically yield low-quality and/or quantities of DNA, restricting the type of molecular methods that can be used. Despite this limitation, genetic monitoring using MIS is an effective tool for estimating population demographic parameters and monitoring genetic diversity in natural populations. Genetic monitoring is likely to become more important in the future as many natural populations are undergoing anthropogenically driven declines, which are unlikely to abate without intensive adaptive management efforts that often include MIS approaches. Here, we profile the expanding suite of genomic methods and platforms compatible with producing genotypes from MIS, considering factors such as development costs and error rates. We evaluate how powerful new approaches will enhance our ability to investigate questions typically answered using genetic monitoring, such as estimating abundance, genetic structure and relatedness. As the field is in a period of unusually rapid transition, we also highlight the importance of legacy data sets and recommend how to address the challenges of moving between traditional and next-generation genetic monitoring platforms. Finally, we consider how genetic monitoring could move beyond genotypes in the future. For example, assessing microbiomes or epigenetic markers could provide a greater understanding of the relationship between individuals and their environment.
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