Diatoms are major players in the global carbon cycle, and their metabolism is affected by ocean conditions. Understanding the impact of changing inorganic nutrients in the oceans on diatoms is crucial, given the changes in global carbon dioxide levels. Here, we present a genome-scale metabolic model (
i
MK1961) for
Cylindrotheca closterium
, an in silico resource to understand uncharacterized metabolic functions in this ubiquitous diatom.
i
MK1961 represents the largest diatom metabolic model to date, comprising 1961 open reading frames and 6718 reactions. With
i
MK1961, we identified the metabolic response signature to cope with drastic changes in growth conditions. Comparing model predictions with
Tara
Oceans transcriptomics data unraveled
C. closterium
’s metabolism in situ. Unexpectedly, the diatom only grows photoautotrophically in 21% of the sunlit ocean samples, while the majority of the samples indicate a mixotrophic (71%) or, in some cases, even a heterotrophic (8%) lifestyle in the light. Our findings highlight
C. closterium’
s metabolic flexibility and its potential role in global carbon cycling.