Curated Optogenetic Publication Database

Search precisely and efficiently by using the advantage of the hand-assigned publication tags that allow you to search for papers involving a specific trait, e.g. a particular optogenetic switch or a host organism.

Qr: author:"Aloysius Teng"
Showing 1 - 2 of 2 results
1.

Engineering a High-Activity Photosensitive Synthase for Optogenetic Control of c-di-GMP and Biofilm Dynamics.

red BphS-13 E. coli Transgene expression Benchmarking
ACS Synth Biol, 12 Feb 2026 DOI: 10.1021/acssynbio.5c00775 Link to full text
Abstract: Bis(3'-5')-cyclic dimeric guanosine monophosphate (c-di-GMP) plays a crucial role in bacterial signaling pathways, allowing bacterial cells to respond to various environmental stimuli. The prevalence of c-di-GMP and its potential applications underscore the necessity for developing tools and methods to regulate intracellular c-di-GMP levels. Optogenetic control of c-di-GMP dynamics is particularly attractive because it enables tunable and spatiotemporal regulation of c-di-GMP metabolism. The development of sensitive optogenetic control systems requires highly active, light-responsive c-di-GMP synthases. Here, we report an engineered, highly active photosensitive c-di-GMP synthase, BphS-13. This engineered c-di-GMP synthase was developed from a near-infrared (NIR) light-activable bacteriophytochrome c-di-GMP synthase, BphS, using a three-step directed evolution process that included error-prone PCR, in vitro homologous recombination, and site-directed mutagenesis. After two rounds of this directed evolution strategy, we generated a BphS variant with 13 mutations, referred to as BphS-13. The diguanylate cyclase (DGC) activity of BphS-13 was approximately 13 times higher than that of the original BphS, and it exhibited tightly regulated DGC activity in response to NIR light with minimal leakage in the dark. We then demonstrated the effectiveness of BphS-13 in controlling biofilm dynamics. Overall, this study highlights BphS-13 as a highly active and photosensitive tool for optogenetic applications in biotechnology and suggests its future potential application in mammalian systems for precise control of gene expression, particularly given the lack of native c-di-GMP signaling pathways in mammalian cells.
2.

Improving the Response of Microbial Fuel Cell-Based Biosensing through Optogenetic Enhancement of Electroactive Biofilms.

red BphS S. oneidensis Control of cell-cell / cell-material interactions Immediate control of second messengers
Environ Sci Technol, 16 Jun 2025 DOI: 10.1021/acs.est.5c04805 Link to full text
Abstract: Early detection of pollutants in water discharge is an integral part of environmental monitoring. Electroactive biofilm (EAB)-enabled, microbial fuel cell (MFC)-based biosensors facilitate self-powered online pollutant detection. However, as EABs are highly dynamic, naturally formed EABs as sensing and transducing elements limit the performance of MFC-based biosensors. Here, we report a fast-response and sensitive MFC-based biosensor enabled by enhancing Shewanella oneidensis biofilms on the electrode using an optogenetic approach. We incorporated a near-infrared (NIR) light-responsive synthetic bis(3'-5')-cyclic dimeric guanosine monophosphate (c-di-GMP) module into S. oneidensis to promote biofilm formation on the anode under NIR light. The biosensors with enhanced EABs exhibited a rapid and sensitive response to Cr(VI), reducing the sensing time from approximately 30 min to just 3 min. This improved sensing performance was maintained over three sensing cycles, even with fluctuating Cr(VI) concentrations. Based on the analyses of the electrode biofilms and extracellular polymeric substance matrices, different Cr(VI) response mechanisms for the normal and enhanced EABs were proposed; enhanced EAB's massive dispersal by Cr(VI) was the cause of the improved response of the biosensors. Such improved response still held in the natural water matrix. This proof-of-concept study provides valuable insights into controlling electrode biofilm dynamics for the rapid and robust early detection of pollutants using MFC-based biosensors.
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