ReviewEvolutionary applications2018
Next-generation metrics for monitoring genetic erosion within populations of conservation concern.
Review in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Contrasting Patterns of Genetic Isolation Among Diadromous, Landlocked, and Non-Migratory Gobiid Fish Populations.Molecular ecology · 2026Article
- Leveraging Next-Generation Tools for Genetic Assessment and Demographic Monitoring in Threatened and Elusive Humboldt Martens.Evolutionary applications · 2026Article
- Genome-Wide Homozygosity Predicts Inbreeding Depression in the Hihi/Stitchbird (Evolutionary applications · 2026Article
- Assessing Genetic Diversity and Inbreeding Effects in an Endangered Amphibian: Effects of Ecological Restoration and Stochasticity.Ecology and evolution · 2026Article
- Framework for assessing genetic variation in livestock using demographic, pedigree, and genomic measures.Frontiers in genetics · 2026Review
- From individuals to communities: How genomics is transforming biodiversity conservation.Genetics and molecular biology · 2026Article
- Article
- Beyond Genetic Indicators: How Reproductive Mode and Hybridisation Challenge Freshwater Mussel Conservation.Molecular ecology · 2025Article
- Genomic Evaluation of Assisted Gene Flow Options in an Endangered Rattlesnake.Molecular ecology · 2025Article
- Effective Population Size Estimation in Large Marine Populations: Considering Current Challenges and Opportunities When Simulating Large Data Sets With High-Density Genomic Information.Evolutionary applications · 2025Review
- Variation in genetic diversity evaluated under different breeding schemes in Sahiwal herd.Tropical animal health and production · 2025Article
- A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis).Molecular ecology resources · 2025Article
- Time-lagged genomic erosion and future environmental risks in a bird on the brink of extinction.Proceedings. Biological sciences · 2025Article
- Genomic Insights Into Red Squirrels in Scotland Reveal Loss of Heterozygosity Associated With Extreme Founder Effects.Evolutionary applications · 2025Article
- APPLS: Evaluating Evaluation Metrics for Plain Language Summarization.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2024Article
- Unraveling the Complexity of theEvolutionary applications · 2024Review
- Discordance between taxonomy and population genomic data: An avian example relevant to the United States Endangered Species Act.PNAS nexus · 2024Article
- Airports for the genetic rescue of a former agricultural pest.Scientific reports · 2024Article
- Genomic insights into the Montseny brook newt (iScience · 2024Article
- Divergent mechanisms of reduced growth performance in Betula ermanii saplings from high-altitude and low-latitude range edges.Heredity · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic erosion is a major threat to biodiversity because it can reduce fitness and ultimately contribute to the extinction of populations. Here, we explore the use of quantitative metrics to detect and monitor genetic erosion. Monitoring systems should not only characterize the mechanisms and drivers of genetic erosion (inbreeding, genetic drift, demographic instability, population fragmentation, introgressive hybridization, selection) but also its consequences (inbreeding and outbreeding depression, emergence of large-effect detrimental alleles, maladaptation and loss of adaptability). Technological advances in genomics now allow the production of data the can be measured by new metrics with improved precision, increased efficiency and the potential to discriminate between neutral diversity (shaped mainly by population size and gene flow) and functional/adaptive diversity (shaped mainly by selection), allowing the assessment of management-relevant genetic markers. The requirements of such studies in terms of sample size and marker density largely depend on the kind of population monitored, the questions to be answered and the metrics employed. We discuss prospects for the integration of this new information and metrics into conservation monitoring programmes.
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