Inferring the Demographic History of Coppery Titi Monkeys (Plecturocebus cupreus) From High-Quality, Whole-Genome, Population-Level Data

AI Summary

High-quality whole-genome sequencing of six unrelated Plecturocebus cupreus individuals established a baseline demographic model from non-coding genomic variation.
Inferred historical population size changes align with genus-level speciation timings and large-scale climatic shifts related to glaciation.
This demographic characterisation provides essential context for genotype-to-phenotype analyses by accounting for historical size change and population structure effects on genetic associations.

AI Summary

Despite being an important biomedical model species for social behavior, the natural population history of the coppery titi monkey (Plecturocebus cupreus) remains largely uncharacterized, in part due to the scarcity of genomic resources available for the species. Apart from the inherent interest in the demographic dynamics of this abundant platyrrhine native to the Amazon forest of Brazil and Peru, this quantification will also serve as a central component of future genotype-to-phenotype studies, given the ability of historical population size change and structure to generate genetic associations. In characterizing these demographic dynamics, we found that estimated population size changes correspond well to previously described speciation times in the genus as well as to large-scale climatic changes relating to glaciation patterns.

Basic summary

Am J Primatol. 2026 May;88(5):e70166. doi: 10.1002/ajp.70166.

ABSTRACT

Despite being an important biomedical model species for social behavior, the natural population history of the coppery titi monkey (Plecturocebus cupreus) remains largely uncharacterized, in part due to the scarcity of genomic resources available for the species. Apart from the inherent interest in the demographic dynamics of this abundant platyrrhine native to the Amazon forest of Brazil and Peru, this quantification will also serve as a central component of future genotype-to-phenotype studies, given the ability of historical population size change and structure to generate genetic associations. In this study, we deep-sequenced the genomes of six unrelated individuals and inferred a baseline demographic model based on observed levels and patterns of variation in the non-coding regions of the genome. In characterizing these demographic dynamics, we found that estimated population size changes correspond well to previously described speciation times in the genus as well as to large-scale climatic changes relating to glaciation patterns.

PMID:42183656 | DOI:10.1002/ajp.70166

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