A recent global survey of planktonic lipids showed a fundamental temperature-mediated regulation of lipid unsaturation in the global oceans [Holm H, et al. (2022) Science 376:1487–1491]. We expand the analysis of this dataset, both spatially and methodologically, to examine diverse environmental stressors across the ocean. Utilizing weighted correlation network analysis, we analyzed 3,164 lipid features in the dataset comprising 930 samples of suspended particulate matter, taken across a broad range of oceanographic conditions and water depths up to 600 meters. A total of 16 lipid clusters being co-expressed across diverse environments were identified. This analysis reveals universal relationships between environmental factors and the lipidome of the planktonic community. The largest lipid cluster, comprising 481 lipid features, including glycerolipids with polyunsaturated fatty acids, exhibited a significant enrichment in polar oceans, suggesting the highest lipid diversity in these ocean regions. Remarkably, marine plankton in these regions employ both desaturation and chain shortening for cold acclimation. Additionally, one lipid cluster strongly linked to the plankton residing in the surface of tropical and subtropical oceans was enriched with non-phosphorus lipids. We suggest this adaptive response enables the plankton to cope with phosphorous scarcity and heat stress. Notably, in the subsurface of these regions, a co-expressed cluster of highly unsaturated lipids is consistent with an enhanced production of polyunsaturated fatty acids by phytoplankton, possibly for low light adaptation. This adaptation is important as it may represent a source of essential fatty acids below the warm sea surface where such vital compounds may be diminished in the warmer future.

This file contains all the data relevant to the manuscript titled “Unravelling Plankton Adaptation in Global Oceans through the Analysis of Lipidomes,” as well as all the code used to generate the data and the figures presented in the manuscript.

We thank everyone involved in creating and curating the dataset utilized in this study.