Real-time tracking of intracellular prenyl phosphate pools in the marine diatom Phaeodactylum tricornutum with a metabolite protein-based biosensor

Abstract

Metabolite-responsive, protein-based biosensors are a powerful tool for monitoring cellular metabolite dynamics in vivo and accelerating strain engineering workflows in microorganisms. In this study, we introduced a previously developed protein-based biosensor, computationally designed to detect farnesyl diphosphate (FPP), in the marine diatom Phaeodactylum tricornutum. We expressed two versions of the biosensor constitutively, under a strong promoter-terminator pair using extrachromosomal episomes, and we parameterized the capacity of both designs in detecting intracellular metabolite levels. Initial assays revealed that the two versions of the biosensor we investigated, S3-2D and S3-3A, had specificity not only for FPP but also for other exogenously supplied prenyl phosphates such as geranyl diphosphate (GPP) and geranylgeranyl diphosphate (GGPP) in a dose-dependent manner. We further demonstrated the capacity of S3-3A to track perturbations in the endogenous prenyl phosphate pools by testing it in the presence of pharmacological inhibition of the mevalonate pathway. Moreover, S3-3A generated signal "hot-spots" around the peroxisomes, suggesting their involvement in isoprenoid biosynthesis, which led us to characterize the subcellular localization of the key enzyme mevalonate kinase. These findings lay the groundwork for developing metabolite-responsive biosensors as robust tools for monitoring and investigating prenyl phosphate dynamics, providing a foundation for advanced metabolic engineering of microalgae.