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Rewiring energy flow in biohybrids for enhanced solar-driven biosynthesis

Abstract

Semiconductor biohybrids offer a viable approach to harness solar energy for the biosynthesis of high-value energy-rich long-chain compounds (ERLCCs). However, solar-driven ERLCC biosynthesis routes are often hindered by the inefficient conversion of light energy into cytosolic cofactors. Here we present a design strategy to rewire energy flow in biohybrids, enabling efficient solar-to-ERLCC conversion. Specifically, by tuning the morphology and structure of semiconductors we constructed an intracellular biointerface within engineered heterotrophic Vibrio natriegens chassis. This CdS–V. natriegens biohybrid achieved a solar-to-2,3-butanediol (BDO) conversion efficiency of 2.35%. Multi-omics and biochemical analyses identified an electron mediator, thiamine pyrophosphate, exogenous supplementation of which enhanced cofactor regeneration, further increased the solar-to-BDO efficiency to 2.83% and achieved a carbon yield of 0.497 g g−1. This biohybrid platform was further extended to produce polyhydroxybutyrate and α-farnesene, and upcycle various waste-carbon sources—including mannitol, cellulose, chitosan and industrial wastewater—into BDO. In a 5-l fed-batch bioreactor using wastewater as the sole carbon source, the system achieved a BDO titre of 30.71 g l−1, demonstrating its scalability and robustness. This study establishes a versatile framework for solar-driven microbial biomanufacturing and waste-to-value conversion, paving the way to carbon-efficient chemical production.

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Fig. 1: Rewiring energy flow in semiconductor–microbe biohybrids for solar-driven waste valorization.
Fig. 2: Design of biohybrid interfaces and characterization of biohybrid system performance.
Fig. 3: Metabolites and gene expression analysis in photocatalytic biohybrids.
Fig. 4: Scalability of products of biohybrid systems.
Fig. 5: Scalability of substrates and scale-up of biohybrid systems.
Fig. 6: LCA.

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Data availability

The data supporting the findings of this study are available within the article and its Supplementary Information. The RNA-seq data generated in this study have been deposited in the NCBI SRA database under bioproject accession number PRJNA1412514. Other data that support the findings of this study are available from the corresponding authors upon reasonable request. Source data are provided with this paper.

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Acknowledgements

We extend our gratitude to P. Xu’s group for their generous provision of the pET28a-RABC vector containing BDO biosynthetic genes. We sincerely thank X. Liu’s group for generously providing the biosynthetic genes SoNar and iNap1. We acknowledge the Shenzhen Synthetic Biology Infrastructure for instrument support and technical assistance. This work was supported by the National Natural Science Foundation of China (grant nos 32230060, 32522056, 32171426, 31925001, 22171132, 52200090, 52300181), the Science and Technology Program in Jiangsu province (BK20232041), the National Key R&D Program of China (grant nos 2021YFA0910800, 2021YFA0909900, 2022YFC3401802, 2024YFB4105700), Shenzhen Science and Technology Program (grant nos JCYJ20220818101804010, RCYX20221008092901004, ZDSYS20220606100606013, KJZD20230923114419039 and JCYJ20220531100006011), Shanghai Municipal Science and Technology Major Project, the Guangdong Basic and Applied Basic Research Foundation (2024B1515020102), the Program for Innovative Talents and Entrepreneurs in Jiangsu (020513006012 and 020513006014) and the Zijin Scholars Foundation (0205181022), NUS Start-up Fund and the MOE AcRF Tier 1 Grant (project no. WBS A-8001945-00-00).

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Contributions

The project was conceptualized by Y.W. and X.G., and was supervised by C.Y., X.G., Y.W. and Y.L. X.K. prepared the materials and performed the characterization. M.G. performed the experiments of the biohybrid construction and characterization. W.C. and H.L. performed the metabolomics. W.Y. and Y.X. performed the experiment of CRISPRi. H.X. performed flux balance analysis. S.P. performed the experiment of photocurrent measurement. X.W. conducted LCA analysis. R.M. performed computational analysis simulating the entry of nanomaterials into cells. M.G., X.K., Y.W. and X.G. wrote the paper with input from all authors. All authors discussed the results and commented on the paper.

Corresponding authors

Correspondence to Chen Yang  (杨琛), Yuanyuan Wang  (王元元) or Xiang Gao  (高翔).

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Nature Sustainability thanks Zhi Cao, Sai Kishore Ravi and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Guo, M., Kong, X., Wang, X. et al. Rewiring energy flow in biohybrids for enhanced solar-driven biosynthesis. Nat Sustain (2026). https://doi.org/10.1038/s41893-026-01787-x

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