In this regard, lumped pathway metabolic models, which combine the fundamental insight and reproducibility of the metabolic network models with the practicality of the empirical models, can serve as a hybrid approach solution. This approach is also based on metabolic reconstructions but simplifies complex metabolic pathways by grouping multiple enzymatic reactions into lumped stoichiometric equations -single equations representing groups of enzymatic reactions for the metabolic pathways of interest. This type of model has informed the development of wastewater-relevant models for enhanced biological phosphorus removal (EBPR), and more specifically for bacterial storage of polymers such as polyhydroxybutyrate (PHB) and other polyhydroxyalkanoates (PHAs), but this approach has had limited adoption in microalgal systems due to challenges and a lack of investment in sequencing eukaryotic microalgae and the development of selective pressures for microalgal systems. However, major advancements in sequencing technologies and funding have led to a significant increase in available genomic sequences over the last 15+ years, enabling us to leverage these data to inform model development and offer additional insights into engineered microalgal processes.