Ancient DNA and spatial modeling reveal a pre-Inca trans-Andean parrot trade
Abstract
Vibrant feathers from Amazonian parrots were among the most prestigious symbols of status in the pre-Hispanic Andes, yet their acquisition required traversing the formidable Andean mountain range. Here, we investigate feathers recovered from an intact, elite masonry tomb at the coastal religious center of Pachacamac, associated with the pre-Inca Ychsma culture that flourished during the Late Intermediate Period (ca. 1000–1470 CE). By integrating ancient DNA, stable isotope analysis, and spatial modeling, we reconstruct the complete journey of these feathers. Genomic data identify four distinct Amazonian parrot species (Ara macao, A. ararauna, A. chloropterus, Amazona farinosa) and reveal high genetic diversity, indicating extraction from wild populations rather than local breeding. Stable carbon and nitrogen isotope analysis reveals that these birds consumed a C4-rich coastal diet, demonstrating they were transported alive across the Andes and kept in the arid coast. Finally, we identify specific trans-Andean corridors used for this exchange by combining species distribution models of ancient habitats with landscape resistance modeling. Our findings reveal a sophisticated, managed trade network operated by the Ychsma through intermediaries, challenging views of pre-Inca regionalism and establishing a multidisciplinary toolkit for tracing ancient exchange. Here, the authors combine ancient DNA, stable isotopes, and computational modeling to study colorful feathers from a pre-Incan tomb in Peru. They identify four species of parrots, which were likely captured in the Amazon before being transported across the Andes before being fed a local, coastal diet.
Fields of Study & Subjects
Archaeology and ancient environmental studies
Environmental DNA in Biodiversity Studies
Forensic and Genetic Research
Publication details
- Journal / source
- Nature Communications
- Publisher
- Springer Science and Business Media LLC
- Volume
- 17
- Issue
- 1
- Publication date
- 10 March 2026
- Language
- EN