Abstract
Marine plankton fuel their metabolism through a continuum of trophic strategies, spanning from pure autotrophy to pure heterotrophy, with mixotrophy combining the two modes within a single organism. Different taxa balance these strategies depending on environmental conditions, complicating efforts to link community composition with ecosystem processes. To quantify the transcriptional investment in processes supporting primary production versus respiration along the trophic continuum, we developed the Transcript-informed Productivity ({TiP}) metric, defined as the ratio of transcripts in photosynthesis-related pathways (e.g., photosynthesis, carbon fixation) to those in both photosynthesis and respiration-related pathways (e.g., respiration, macromolecule degradation). Higher {TiP} indicates greater transcriptional investment in primary productivity, whereas lower {TiP} reflects reduced investment in primary productivity and/or increased investment in catabolic activities. We applied {TiP} across eukaryotic plankton size classes ({ extasciitilde}1-100 μm) and taxonomic groups using metatranscriptomes collected during three latitudinal expeditions across the North Pacific. By combining {TiP} with 18S {rRNA} gene sequence data and cell size characterization via flow cytometry, we show that biomass in more nutrient-rich areas was dominated by larger phototrophic eukaryotic plankton (diatoms) with higher {TiP}, consistent with elevated net community productivity. In nutrient-limited areas, eukaryotic pico- and nano-phytoplankton were dominated by Haptophyta and Dinophyta and displayed reduced {TiP}, suggesting greater reliance on energy from respiration rather than photosynthesis, consistent with mixotrophic strategies supporting these taxa under nutrient limitation. The {TiP} metric provided taxon-resolved indicators of eukaryotic productivity and respiration and can complement bulk Net Community Productivity ({NCP}) measurements by identifying the taxa contributing most to ecosystem metabolic balance.
Francois Ribalet
Leo Maddox Endowed Professor in Oceanography
Research Associate Professor
Our research combines high-resolution, at-sea observations and statistical modeling to investigate how microbial communities respond to environmental changes.