Single-cell isotope tracing reveals functional guilds of bacteria associated with the diatom Phaeodactylum tricornutum

• Published in: Nature communications Vol. 14; no. 1; pp. 5642 - 13
• Main Authors: Mayali, Xavier, Samo, Ty J, Kimbrel, Jeff A, Morris, Megan M, Rolison, Kristina, Swink, Courtney, Ramon, Christina, Kim, Young-Mo, Munoz-Munoz, Nathalie, Nicora, Carrie, Purvine, Sam, Lipton, Mary, Stuart, Rhona K, Weber, Peter K
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group 13.09.2023; Nature Publishing Group UK; Nature Portfolio
• Subjects: Algae; Algal growth; Bacteria; Carbon; Dissolved organic carbon; Ecological studies; Guilds; Metabolism; Microorganisms; Nitrogen; Nutrients; Organic matter; Organic nitrogen; Phaeodactylum tricornutum; Phylogeny; Plankton; Remineralization; Tracing
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-023-41179-9

Abstract Bacterial remineralization of algal organic matter fuels algal growth but is rarely quantified. Consequently, we cannot currently predict whether some bacterial taxa may provide more remineralized nutrients to algae than others. Here, we quantified bacterial incorporation of algal-derived complex dissolved organic carbon and nitrogen and algal incorporation of remineralized carbon and nitrogen in fifteen bacterial co-cultures growing with the diatom Phaeodactylum tricornutum at the single-cell level using isotope tracing and nanoSIMS. We found unexpected strain-to-strain and cell-to-cell variability in net carbon and nitrogen incorporation, including non-ubiquitous complex organic nitrogen utilization and remineralization. We used these data to identify three distinct functional guilds of metabolic interactions, which we termed macromolecule remineralizers, macromolecule users, and small-molecule users, the latter exhibiting efficient growth under low carbon availability. The functional guilds were not linked to phylogeny and could not be elucidated strictly from metabolic capacity as predicted by comparative genomics, highlighting the need for direct activity-based measurements in ecological studies of microbial metabolic interactions.