Bibliographical ressources

Bibliographical ressources

Bibliographical ressources

Alric B., Domaizon I., Laplace-Treyture C., Violaz L., Rimet F., 2026. A new framework to empower ecosystem assessment through the integration of eDNA inventories, graph theory and niche modeling. Ecology Letters, DOI: https://doi.org/10.1111/ele.70436

Duran C, Alric B., Laplace-Treyture C., Domaizon I., Viollaz L., Rimet F., 2026. Analyse du phytoplancton par l’ADN environnemental : nouveaux outils pour évaluer la qualité écologique des plans d’eau. Sciences Eaux et Territoires, 51, 1-10. https://doi.org/10.20870/Revue-SET.2026.51.9926

Lemonnier, C., Alric, B., Domaizon, I., & Rimet, F. (2025). Comparison of Metabarcoding and Shotgun Sequencing Confirms the Relevance of Chloroplastic rRNA Genes to Assess Community Structure of Lake Phytoplankton. Molecular Ecology Resources, n/a(n/a), e70077. https://doi.org/10.1111/1755-0998.70077

Viollaz, L., Rimet, F., & Alric, B. (2025). Environmental DNA Approach for Lake Phytoplankton Monitoring. ACS ES&T Water. https://doi.org/10.1021/acsestwater.5c00669

Tapolczai, K., F. Rimet, M. Ćirić, A. Ballot, C. Laplace-Treyture, & B. Alric, 2025. A novel framework for phytoplankton biomonitoring: Trait assignment of 23S rRNA sequences. Ecological Indicators 173: 113361. https://doi.org/10.1016/j.ecolind.2025.113361

Nicolosi Gelis, M.M., Canino, A., Bouchez, A., Domaizon, I., Laplace-Treyture, C., Rimet, F., Alric, B., 2024. Assessing the relevance of DNA metabarcoding compared to morphological identification for lake phytoplankton monitoring. Science of The Total Environment 914, 169774. https://doi.org/10.1016/j.scitotenv.2023.169774

Canino, A., C. Lemonnier, B. Alric, A. Bouchez, I. Domaizon, C. Laplace-Treyture, & F. Rimet, 2023. Which barcode to decipher freshwater microalgal assemblages? Tests on mock communities. International Journal of Limnology EDP Sciences 59: 8, 1-15. DOI: 10.1051/limn/2023008

Salmaso, N., V. Vasselon, F. Rimet, M. Vautier, T. Elersek, A. Boscaini, C. Donati, M. Moretto, M. Pindo, G. Riccioni, E. Stefani, C. Capelli, F. Lepori, R. Kurmayer, U. Mischke, A. K. Klemenčič, K. Novak, C. Greco, G. Franzini, G. Fusato, F. Giacomazzi, A. Lea, S. Menegon, C. Zampieri, A. Macor, D. Virgilio, E. Zanut, R. Zorza, F. Buzzi, & I. Domaizon, 2022. DNA sequence and taxonomic gap analyses to quantify the coverage of aquatic cyanobacteria and eukaryotic microalgae in reference databases: Results of a survey in the Alpine region. Science of The Total Environment 834, 155175. https://doi.org/10.1016/j.scitotenv.2022.155175

Canino A., Bouchez A., Laplace-Treyture C., Domaizon I. & Rimet F., 2021. Phytool, a ShinyApp to homogenise taxonomy of freshwater microalgae from DNA barcodes and microscopic observations. Metabarcoding and Metagenomics 5, e74096. https://doi.org/10.3897/mbmg.5.74096