ArticleG3 (Bethesda, Md.)2025
A whole-genome scan for evidence of positive and balancing selection in aye-ayes (Daubentonia madagascariensis) utilizing a well-fit evolutionary baseline model.
Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Inferring the Demographic History of Coppery Titi Monkeys (Plecturocebus cupreus) From High-Quality, Whole-Genome, Population-Level Data.American journal of primatology · 2026Article
- Inferring Patterns of Purifying, Positive, and Balancing Selection in the Coppery Titi Monkey (Plecturocebus cupreus) Utilizing a Well-Fit Evolutionary Baseline Model.Genome biology and evolution · 2026Article
- Recent Insights Into the Evolutionary Genomics of the Critically Endangered Aye-Aye (Daubentonia madagascariensis).American journal of primatology · 2025Review
- Interpreting Patterns of X Chromosomal Relative to Autosomal Diversity in Aye-Ayes (Daubentonia madagascariensis).American journal of primatology · 2025Article
- Article
- Inferring Fine-Scale Mutation and Recombination Rate Maps in Aye-Ayes (Ecology and evolution · 2025Article
- The Landscape of Structural Variation in Aye-Ayes (Daubentonia madagascariensis).Genome biology and evolution · 2025Article
- Estimating the Distribution of Fitness Effects in Aye-Ayes (Daubentonia madagascariensis), Accounting for Population History as Well as Mutation and Recombination Rate Heterogeneity.American journal of primatology · 2025Article
- Accounting for Chimerism in Demographic Inference: Reconstructing the History of Common Marmosets (Callithrix jacchus) from High-Quality, Whole-Genome, Population-Level Data.Molecular biology and evolution · 2025Article
- A Pedigree-Based Map of Crossovers and Noncrossovers in Aye-Ayes (Daubentonia madagascariensis).Genome biology and evolution · 2025Article
- Inferring demographic and selective histories from population genomic data using a 2-step approach in species with coding-sparse genomes: an application to human data.G3 (Bethesda, Md.) · 2025Article
- Characterizing the Rates and Patterns of De Novo Germline Mutations in the Aye-Aye (Daubentonia madagascariensis).Molecular biology and evolution · 2025Article
- Inferring the Demographic History of Aye-Ayes (Daubentonia madagascariensis) from High-Quality, Whole-Genome, Population-Level Data.Genome biology and evolution · 2025Article
- Inferring demographic and selective histories from population genomic data using a two-step approach in species with coding-sparse genomes: an application to human data.bioRxiv : the preprint server for biology · 2024Article
- A pedigree-based map of crossovers and non-crossovers in aye-ayes (bioRxiv : the preprint server for biology · 2024Article
- Characterizing the rates and patterns ofbioRxiv : the preprint server for biology · 2024Article
- Inferring the demographic history of aye-ayes (bioRxiv : the preprint server for biology · 2024Article
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Abstract
The aye-aye (Daubentonia madagascariensis) is one of the 25 most endangered primate species in the world, maintaining amongst the lowest genetic diversity of any primate measured to date. Characterizing patterns of genetic variation within aye-aye populations, and the relative influences of neutral and selective processes in shaping that variation, is thus important for future conservation efforts. In this study, we performed the first whole-genome scans for positive and balancing selection in the species, utilizing high-coverage population genomic data from newly sequenced individuals. We generated null thresholds for our genomic scans by creating an evolutionarily appropriate baseline model that incorporates the demographic history of this aye-aye population, and identified a small number of candidate genes. Most notably, a suite of genes involved in olfaction-a key trait in these nocturnal primates-were identified as experiencing long-term balancing selection. We also conducted analyses to quantify the expected statistical power to detect positive and balancing selection in this population using site frequency spectrum-based inference methods, once accounting for the potentially confounding contributions of population history, mutation and recombination rate variation, as well as purifying and background selection. This work, presenting the first high-quality, genome-wide polymorphism data across the functional regions of the aye-aye genome, thus provides important insights into the landscape of episodic selective forces in this highly endangered species.
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