During the 5-year project, we worked on developing experimental methods for the characterization of transporters, computational methods for transporter discovery, and engineering the transport of small molecules in yeast cell factories. Below, several achievements are highlighted.
1. Experimental proof of high transportome plasticity.
We performed the first systematic study of transporter substrate specificity, where we assayed 30 transporters of different families from yeast Saccharomyces cerevisiae against six diverse small metabolites, both native and xenobiotic. We discovered that transporters were greatly promiscuous in equilibrative transport, where 20 transporters facilitated the uptake of one or several tested compounds. When it came to concentrative transport, transporters were more substrate-specific. High substrate promiscuity of transporters has been suggested and experimentally shown for some multidrug transporters in bacteria (Cudkowicz &Schuldiner, 2019, PLoS One; Kermani et al, 2020, Nat Commun), but our study shows that it is a very general phenomenon, not limited to specific transporter family and antibiotics.
2. Novel, faster, and easier methods for functional characterization of transporters.
We addressed one of the most critical problems in the field - the lack of assays for functional determination. We have established a new workflow that combines cell-free transporter protein expression and solid supported membrane electrophysiology and allows functional characterization of transporters within ca. five days. Further, we have developed a promising scalable method based on Xenopus expression and C13-labelled substrate blends that allows characterizing a given transporter against multiple compounds in a single assay.
3. Web application for predicting transporter candidates for a given molecule at www.transporterpal.com
TransporterPAL predicts suitable transporters for compounds by interconnecting data for biosynthetic genes and their interactions with transporters. The web application queries the STITCH, STRING, and UniProtKB databases via their respective APIs and returns a set of potential transporters based on a compound and, optionally, the organism as input. This is the first bioinformatics tool that can predict transporter candidates.
4. Methods for transporter engineering in cell factories.
We have developed a method for transportome-wide engineering and made the plasmids library available to the scientific community through AddGene material repository (Wang et al, 2021, Metab Eng). We have shown on various products how transporter engineering can be applied in the context of cell factory engineering and disseminated these results through papers and conference presentations. We also created a technology for producing the anti-aging compound ergothioneine that was licensed to the industry.
The project results were published in 28 peer-reviewed papers and presented as talks and/or posters at over 25 international conferences. The project also resulted in a patent on ergothioneine that was licensed to the industry, four press releases, and a popular science article.