Ancient DNA (aDNA) offers a window into our past, revealing pivotal moments that shaped our genetic landscape. Yet, traditional methods reliant on ancient skeletal remains only provide discrete data points that are few and far between, limiting our ability to gain a full perspective of our history. Pioneering the use of DNA from sediments, which are readily available at any archaeological site, presents an exciting opportunity to bridge these gaps and paint a comprehensive picture of human evolution, like switching from black & white photos to color.
To fully leverage these new opportunities, one must develop novel sophisticated approaches to recover and analyze sedimentary aDNA data. Our project rises to this challenge.
While sediments offer an abundant source of genetic material, sedimentary ancient DNA datasets pose unique challenges. They contain a mixture of DNA from various organisms and individuals, and are often contaminated. We propose to develop this technology so that it can become ubiquitous in field research, which will bring about qualitative changes in our understanding of our history and of the process that have brought about our current gene pool. In particular, we propose to improve both the sample collection/preparation and the analytical workflow to enable robust and broad dissemination of this technology.
Additionally, current techniques analyze single data points without considering their context, potentially missing crucial information. We propose to develop a holistic approach to sedimentary ancient DNA analysis, leveraging the complementary strengths of the two PIs–expertise in aDNA data and in mathematical algorithms–who will work in synergy to come up with appropriate mathematical and algorithmic tools to analyze data recovered from sediments. Together, we envision an algorithm that would co-analyze all data originating from the same site through its various layers, with the outcome explaining the history of the groups who lived at that location. Moreover, we will develop strategies to improve the sample collection and preparation techniques, aiming to add as many data points as possible to this holistic analysis.
In summary, our goal is to make ancient sedimentary DNA analysis a standard practice in archaeological research, allowing for the tracking of human presence, populations, and behaviors over time. This innovative approach will enable new insights into our genetic past that are unattainable with existing methodologies, ultimately leading to exciting scientific discoveries.
Develop a novel, holistic, and comprehensive mathematical framework for the analysis of sedimentary ancient DNA–maximizing the usability of all extracted DNA fragments;
Propose innovative field sampling and laboratory techniques to improve the success rates of ancient DNA recovery from sediment samples, and improve the speed and efficiency of screening samples for aDNA;
Disseminate this approach as a standard, widely-used tool within the scientific community through a user-friendly, broadly-applicable, and reproducible laboratory and analytical pipeline, thereby taking the analysis of past populations based on sedimentary ancient DNA to the next level.
Overall, we envision that developments achieved here will transform sampling for sedimentary aDNA analyses into a ubiquitous tool in field archaeology, anthropology, evolutionary ecology, paleogenetics and other related disciplines.
This project was made possible through the support of grant 62571 from the John Templeton Foundation.