Directed Co-evolution of Next Generation Biohybrids for Energy Conversion

Biological-material hybrid systems are increasingly important in medicine, biotechnology and energy. In particular, microbial biohybrids offer unique advantages for sustainable energy conversion (e.g. scalability and product versatility), but their under-performances curtail their application and impact. State-of-the-art approaches to biohybrid research are slow and confined, with many hidden antagonistic interactions at the bio-material interface to overcome.

Here, I aim to create a ground-breaking approach that directly targets the creation, identification, and characterisation of synergistic microbial-material interactions to enable a step-change in generating green energy biohybrids that are high-performing, robust and scalable. Towards this, I will i) develop new methodologies to generate large targeted libraries of key biohybrid components (the electrode, cells and charge carriers); ii) pioneer the powerful concept of directed co-evolution for bio-material engineering.

Unlike classical directed evolution where only biological elements are optimised, I will iteratively select for high performing bio-material partnerships under stringent criteria. When these outcomes are compared against those from conventional screening, the identification of synergistic, antagonist or purely independent bio-material interactions will be possible.

I will then iii) characterise these partnerships to fill large knowledge gaps within the field to understand how synergism can be designed, instead of found.

I will employ cyanobacterial hybrids for solar-electricity generation as model systems, targeting final stable photocurrents of near the top theoretical value 2.4 mA/cm2 (>50-fold above typical systems). This work sets the stage for the transformation of other biohybrids and composite functional materials, and the opening up of a new field: the directed co-evolution of hybrid systems.