The first period focused on extensive field sample collection, sample management, and preliminary data acquisition. Through an interdisciplinary approach, we established standardised sampling transects spanning varying conditions within three study sites in French Guiana, and developed innovative protocols for field collection and data acquisition. Field expeditions, conducted across three major campaigns, led to an extensive inventory, mapping and sampling of palm species. These transects offer a long-term research framework that is particularly valuable for monitoring the impacts of climate change on palm populations.
A postdoc in geoarchaeology, produced the most accurate archaeo-environmental dataset on pre-Columbian impacts in French Guiana to date. Soil samples analyses and radiocarbon dating provided a detailed account of the human history and the landscape-scale extent of anthropogenic disturbances in the study sites. Beyond primary objectives, we conducted an exploratory study on the morphology and morphometry of Neotropical palm phytoliths using Scanning Electron Microscopy to reconstruct paleoenvironments through future work.
In parallel, we are exploring the genomic and phenomic diversity in palm populations. A first PhD student research focuses on the biomechanical properties of palm leaves through vibratory mechanics and tensile testing to evaluate how fibre mechanical properties vary with water content, relevant to traditional palm use, and how biomechanical properties vary within and across species. He developed an informatic pipeline to monitor fibre deformation by Digital Image Correlation, allowing standardised, semi-automated acquisition of biomechanics data. He experimentally evaluated DIC method following a cross-validation with a laser extensometer. Regarding metabolomics, we processed palm fruits in the lab, including weighing, lyophilization, systematic photography for morphometric analysis and manual dissection for metabolomic profiling. Preliminary metabolite extraction and metabolomic profiling tests were carried out, providing encouraging results. A second PhD student was recently hired to study the genomic and metabolomic diversity in palm populations. He is developing the bioinformatics pipeline for NGS data processing using the first set of genomic data acquired.
DOPAMICS team is also engaged in disseminating the work and results of the project to the general public and local communities. For example, we co-organized the Science Nature Festival in Saül in 2023 in collaboration with the Amazonian Park in French Guiana. This event was therefore an exceptional opportunity to present the DOPAMICS project and to share scientific and cultural knowledge with local people.
All protocols, codes and data generated will be made open access on dedicated repositories complying with FAIR principles.