Electronic information can be transmitted to cells directly from microelectronics via electrode-activated redox mediators. These transmissions are decoded by redox-responsive promoters which enable user-specified control over biological function. Here, we build on this redox communication modality by establishing an electronic eCRISPR conduit of information exchange. This system acts as a biological signal processor, amplifying signal reception and filtering biological noise. We electronically amplify bacterial quorum sensing (QS) signaling by activating LasI, the autoinducer-1 synthase. Similarly, we filter out unintended noise by inhibiting the native SoxRS-mediated oxidative stress response regulon. We then construct an eCRISPR based redox conduit in both E. coli and Salmonella enterica. Finally, we display eCRISPR based information processing that allows transmission of spatiotemporal redox commands which are then decoded by gelatin-encapsulated E. coli. We anticipate that redox communication channels will enable biohybrid microelectronic devices that could transform our abilities to electronically interpret and control biological function.
The goal of communication is the efficient transmission of information. This is the case not just in electronics but also in biology where electromagnetic transmission is replaced by the flow of ions and molecules. Both electromagnetic and biomolecular communication channels must overcome data structure and noise limitations. Information content that is embedded into biomolecular structure is analogous to the data compression tools that we commonly employ in electronics. Biological error correction (including evolution), redundancy, and parallel processing align with techniques for sustaining data transmission in noisy environments. Noting that redox modalities in biology embrace electron movement, molecular structure, and reactivity, we suggest that redox also enables direct transfer of information (in the form of electrons) between biological and electronic systems. Moreover, this modality conforms nicely with the theoretical underpinnings of information transfer1,2 because programmable electrical inputs directly mediate chemical transmissions that, in turn, are received and interpreted by biomolecules and cells.
Establishing a facile electronic to molecular communication channel that functions in biological systems would be transformative. For decades, electrical impulses have been applied to modulate biological function. Electromagnetic neural and muscular stimulation3, alleviation of pain4, wound healing5 are some of the examples of bioelectronics that have already benefitted human health. However, in these instances, applied electrical impulses modulate ion-based currents6 leading to systems level changes. Recently, an alternative strategy has been proposed wherein electrode-imposed information is transmitted locally, at the cellular level through an electron-based redox modality that embraces the structural features of molecular communication7,8. Redox is one of the most prevalent naturally occurring modes of communication in biology with implications in the gut microbiome7,9, inflammation and autoimmunity10,11, aging12, and bacterial quorum sensing13,14. Redox is enabled by an array of small molecule redox mediators, such as ascorbate, NAD(P)H, hydrogen peroxide, superoxide, hydroxyl radicals and, more importantly, these redox mediators can be activated by the acceptance or donation of electrons. By this virtue, these molecules can transmit electronic information from electrodes to biology and vice versa15,16,17,18. In addition, nature has evolved a vast set of redox responsive regulatory elements, such as SoxS19, OxyS20, NFκB21, Nrf2/Keap122, and these can be repurposed to respond to user-imposed redox-inputs. We have shown rewiring of two such regulators, SoxS23 and OxyS24,25,26,27, to enable user-imposed redox inputs for actuating and controlling native bacterial functions, such as motility and cell–cell signaling.
In this work, we use a CRISPR-mediated tool set to bring the abundance of CRISPR functions into redox communication channels. We assemble a two-part genetic system consisting of (i) SoxS-based electrogenetic promoters that are activated by redox-based molecular signaling; and (ii) CRISPR-Cas9 based synthetic transcriptional factors for multiplexed activation and inhibition. We refer to this as an electrogenetic CRISPR system (eCRISPR, Fig. 1) where the facile and robust programmability of electronics gains access to several functions within biology. First, oxidized pyocyanin (PYO), a phenazine class antibiotic produced by Pseudomonas aeruginosa is used to activate SoxS promoters. Usually, under aerobic conditions, PYO oxidizes the SoxR repressor leading to expression from SoxS promoters13,23 and the reduced PYO, in turn, is likely re-oxidized by intracellular electron transfer. Under anaerobic conditions, PYO recycling is mediated by redox active electron acceptors such as ferricyanide (Fcn(O)) whose redox state is controlled by an external electrode23 leading to control over gene expression in a permissive host having an attenuated oxidative stress response. The second part consisted of CRISPR-Cas9 derived transcriptional factors that enable precise genome targeting and editing28,29 and those containing a dead Cas9 (dCas9) enable precise gene silencing (referred to as CRISPRi)30,31. When dCas9 is fused with transcriptional activators such as VP1632, the ω subunit of bacterial RNA polymerase33, and SoxS34, CRISPR has been shown to activate transcription (referred to as CRISPRa).
We hypothesize that by coupling the CRISPR-based synthetic transcriptional regulators with electrogenetic23,35 promoter systems one would enable direct electrical control over host genome transcription. Moreover, because electronic control is mediated by simply biasing electrodes that are proximal to cell-containing media, the vast repertoire of electronic signaling and control is made accessible. Tunability could be achieved by controlling size, location, and electrode material36,37,38,39, programmable chemical gradients could be created (e.g., electrophoresis, gelation)40,41 and complex signal inputs can be applied to employ advanced signal processing methodologies on biological circuits17. To this end, we work on the previously described bacterial CRISPRa system by Bikard et. al. involving the use of dCas9-ω as transcriptional activator33 and built an electrically tunable and controllable CRISPRa system (eCRISPR). We tune various factors that govern the stoichiometries of the CRISPR components and later integrated them with electrogenetic SoxS promoters. Upon electrical induction, we observe a ~15-fold increase in transcriptional activation of fluorescent proteins. To demonstrate controlled biological function, we use eCRISPR to amplify cell-to-cell communication among bacteria. Through these demonstrations, we show electronically programmed biological communication between bacterial cells.
In addition to building an E. coli-specific electrogenetic controller, we sought to demonstrate function in other non-compliant hosts23,42. That is, by showing that eCRISPR can work with gRNA selected for different hosts, we demonstrate an information channel that enables communication of different messages to multiple participants through the same electronic input. Our previous work23 exploited DJ901 E. coli that have an attenuated stress response; this enabled more focused amplification of SoxS-mediated gene transcription. In effect, suppression of the native stress response acts as a filter, reducing noise43,44 and streamlining transmission. We and others have previously demonstrated that by downregulating concomitant pleotropic responses, one can focus metabolic activity towards the desired genetically engineered functions, including targeted gene expression45,46,47,48,49,50. The SoxS promoter used in this study is part of the SoxRS regulon, a global regulator of the oxidative stress defense response in E. coli. Upon exposure to oxidative stressors, a several-fold upregulation of SoxS51 leads to upregulation of ~15 genes including superoxide dismutases (sodA and sodB), fumarate hydratase (fumC) among others, endowing cells with broad and effective means for alleviating oxidative stress. Here, we use CRISPR-Cas9 systems to selectively and transiently silence genomic SoxS and the ensuing oxidative defense responses; this reduction in pleiotropic noise enabled a 4-fold increase in targeted electrogenetic SoxS promoter activity in E. coli. Also, portability of the electrogenetic system is shown by performing analogous experiments in Salmonella enterica, where we found a similar 4-fold increase in expression from E. coli based soxS promoters, but with repression targets designed for Salmonella.
Finally, we show eCRISPR as both a signal amplifier and filter that results in better congruency between electrical input and cellular output in complex environments. To do this, we assemble a bio-electronic interface and demonstrate (i) the electrochemical formation of biochemical gradients, and (ii) how these gradients spatially guide eCRISPR-mediated function within cells immobilized in hydrogels. CRISPR-containing cell populations displayed enhanced signal strength relative to cells without eCRISPR control. In this way, we demonstrate the flexibility of electronic control over cell function and the benefits provided by eCRISPR genetic tuning.
A tunable CRISPRa system in bacteria
We first intended to create an inducible and tunable CRISPR-Cas9 mediated transcriptional activation (CRISPRa) system that enabled integration with bacterial quorum sensing (QS) signal transduction systems based on E. coli W311052,53,54,55,56,57,58. To do this, we created NB101 strain (E. coli W3110 ΔrpoZ, lacZ, Supplementary Table 1) for adapting a previously reported bacterial CRISPRa system wherein the RNA polymerase subunit ω (rpoZ) was genetically fused to S. pyogenes origin deactivated Cas9 (dCas9) resulting in 23-fold transcriptional activation of green fluorescent protein (GFP)33. Importantly, in NB101, we found comparable levels of CRISPRa (Supplementary Fig. 1) and used this strain for further experiments.
We next focused on improving the levels of transcriptional activation. Bikard et.al. had used native S. pyogenes promoters to express CRISPR components and employed tracrRNA:crRNA hybrids to present the spacers for CRISPRa of GFP33. Instead of tracrRNA:crRNA hybrids, we introduced spacers (W108 spacer33) in the form of single short gRNA (denoted 108 gRNA) expressed from a strong constitutive promoter (J23119) in p108gRNA. Additionally, we placed the dCas9-ω fusion under an inducible Tet promoter in pdCas9-ω and used the leaky expression of dCas9-ω to enable GFP activation from pWJ89. This combination resulted in ~5-fold greater GFP activation, suggesting that the relative levels of dCas9-ω and gRNA played an important role in controlling transcription (Supplementary Fig. 2). To further enhance CRISPRa, a common strategy used in eukaryotic CRISPRa systems is to increase transcriptional activator domains per dCas9 molecule32, however increasing the number of ω did not result in enhanced CRISPRa (Supplementary Fig. 3) in agreement with a recent study59. To enable a tunable bacterial CRISPRa system, we first employed mismatches in the first few base pairs of the gRNA that first anneals to the DNA region adjacent to the protospacer adjacent motif (PAM), also referred to as the seed region of spacer60. We observed no role for mismatches in CRISPRa tunability (Supplementary Fig. 4).
We then focused on using inducible promoters to tune expression of dCas9 and gRNA. First, we induced the expression of dCas9-ω from Tet promoters by addition of anhydrotetracycline (aTc) (Supplementary Fig. 5). While dCas9-ω increased with aTc, CRISPRa and GFP fluorescence did not. Additional attempts to reduce leaky expression by modulating dCas9-ω from the Tet promoter61 were unsuccessful (Supplementary Fig. 6); henceforth we relied on leaky expression of dCas9-ω. We next focused on gRNA by moving from the constitutive J23119 promoter to inducible promoters (pTrc in pTrc-108gRNA and pSoxS in pSoxS-108gRNA) and while the gRNA expression increased with increased inducer concentration (Supplementary Fig. 7b), there was no change in CRISPRa (Supplementary Fig. 7c, d). These results suggest there was sufficient gRNA expressed from both promoters, the net result being a saturated CRISPRa response.
We next replaced the high copy pBR322 origin in the gRNA expressing pSoxS plasmid with a low copy pSC101* origin to create plasmid pSC-S108gRNA. Conversely, we replaced the pSC101* origin of the target GFP plasmid, pWJ89, with the pBR322 origin to create pMC-GFP (Fig. 2a). With this rearrangement, we induced gRNA expression from the SoxS promoter. We observed increased gRNA expression after 6 h (Fig. 2b) with increasing PYO, as well as a ~21-fold increase in GFP fluorescence (Fig. 2c), indicating the tunability of CRISPRa.
Having shown that we could tune CRISPRa by controlling the gRNA levels and the number of gene targets, we next sought to see whether CRISPRa system could be used in activation of QS based cell–cell communication. (Fig. 2a, d). We used the E. coli CRISPRa system to activate transcription of LasI, a QS autoinducer-1 synthase from Pseudomonas aeruginosa. To do this, we replaced the gfpmut2 in pMC-GFP with the lasI (pMC-LasI) and transformed it along with pSC-S108gRNA and pdCas9-ω into NB101. We referred to these populations as AI-1 producer cells. We added different levels of PYO at the time of re-inoculation into LB media under aerobic conditions and activated CRISPRa of LasI. After 4 hours, we collected conditioned media (CM) and incubated with AI-1 reporter cells (see “Methods”). Results (Fig. 2d) indicated that AI-1 activity, a measure of QS activity, was increased with PYO. Notably, the higher levels of PYO increased the QS activity the greatest.
Thus, in Fig. 2, we showed that by replacing dCas9-ω expression from native S. pyogenes promoters to enable leaky expression from Tet promoters and by switching from the tracrRNA: crRNA hybrid system to a short gRNA system using synthetic promoters, we improved the CRISPRa response by ~5-fold. Tunability in this CRISPR system was then achieved by varying the stoichiometric ratios of not just gRNA but also the number of targets in the system resulting in ~21-fold increase in transcription of fluorescent reporters. We further demonstrated CRISPRa-mediated QS communication across two different populations by actuating AI-1 synthesis. We found a ~7-fold increase in bioluminescence among AI-1 responding populations.
Electrically tunable CRISPRa—eCRISPR
Having demonstrated small molecule-based induction of a tunable CRISPRa system, we next sought to electrically induce CRISPRa using the SoxS electrogenetic promoter23, creating the eCRISPR system (Fig. 3a). We started by testing anaerobically with redox mediators, PYO and Fcn. We replaced the reporter gene from gfpmut2 in pMC-GFP with phiLOV (pMC-phiLOV) that is capable of fluorescing under both aerobic and anaerobic conditions62 and used it as a target for CRISPRa (Fig. 3a). As shown above (Fig. 2), under aerobic conditions, PYO alone is sufficient to oxidize the SoxR repressor and activate gene expression from SoxS. However, under anaerobic conditions, PYO recycling of the SoxR requires the use of redox active electron acceptors such as Fcn(O). Hence going forward, under anaerobic conditions, both PYO and Fcn were added to mediate activation of the SoxS promoter. We grew NB101 cells harboring plasmids with the tunable CRISPRa plasmids (pSC-S108gRNA, pdCas9-ω) and the new reporter plasmid pMC-phiLOV in LB media at 37 °C under aerobic conditions. At OD600 0.6, we washed the cells and resuspended them in minimal-M9 media and performed further experiments under anaerobic conditions. To characterize gRNA expression from SoxS promoters and the resulting CRISPRa, we first optimized the concentrations of redox mediator Fcn(O) and PYO. phiLOV fluorescence increased with increasing concentrations of Fcn(O) and PYO (Supplementary Fig. 8a, b). We found the highest PYO and Fcn(O) concentrations (10 µM and 50 mM respectively) yielded ~18-fold CRISPRa (Supplementary Fig. 8c). However, to maintain linearity in fluorescence measurements, we subsequently used 5 µM PYO and 50 mM Fcn for further experiments.
Next, we sought to demonstrate electrode-mediated control of CRISPRa. Instead of adding oxidized Fcn(O) to cells, we added 5 µM of PYO and 50 mM of Fcn(R) and applied an oxidizing potential of +0.5 V using the electrochemical setup (“Methods”) to oxidize Fcn(R) to Fcn(O). We applied varying amounts of electric charge to cell populations and transferred them to a 37 °C incubator for 2 h. We then measured the relative expression levels of gRNA from the SoxS promoter and phiLOV from CRISPRa (Fig. 3b). With increased applied charge, we found increased levels of both the gRNA as well as phiLOV, until −0.5 Coulomb when both decreased perhaps due to expression-mediated toxicity. Figure 3c indicates the fluorescence obtained during 6 h after electrical induction with varying levels of applied charge. As anticipated, fluorescence increased with charge for the first 4 h up to −0.4 C, with a maximum of ~13-fold transcriptional activation.
As a demonstration of information transfer between electronic to biological signaling modalities, we attempted to electronically elevate QS communication using the AI-1 producer cells that transduce electric signals into biologic signals. We used the CRISPRa system to activate transcription of LasI (see Fig. 3a). At OD600 of 0.6, we moved the AI-1 producer population to minimal-M9 media and under anaerobic conditions applied varying amounts of electrical charge. After 2 h of incubation at 37 °C, we collected the conditioned media (CM) and incubated this CM with AI-1 reporter cells for 4 h under aerobic conditions and measured relative QS activity via bioluminescence (Fig. 3d). Results indicated there was a ~1.5-fold increase in QS activity with an applied electric charge greater than −0.06 C. That is, cells already communicating via AI-1 based communication (an appreciable background level of AI-1 in the zero due to leaky expression and low charge cases) received a significant boost in their signal by the contributions from the electrogenetically stimulated producer cells when the charge exceeded −0.06 C. Thus, these results clearly demonstrate electronic actuation of eCRISPR to mediate native signaling between communicating bacterial populations. We note further, that in our previous work we used a genetically modified host in which the SoxS-regulated stress response regulon was attenuated. We subsequently hypothesized that to enhance this process further we might suppress pleiotropic host responses and thereby focus metabolic activity on the electrogenetic target.
Multiplexing to attenuate noise and demonstrate portability
To increase the signal strength in the bio-electronic communication mediated by SoxS-based redox promoters, we sought to utilize CRISPR to suppress noise caused by metabolically prohibitive oxidative stress responses otherwise triggered by electrical signals, thus leading to amplification of the desired signals. Also, to mediate widespread applicability and to generalize electronic to biological information transfer, we examined portability of the electrogenetic promoter systems from E. coli and Salmonella with minimal rewiring of genetic circuits (Fig. 4a).
First, we focused on eCRISPR as a reliable signal amplifier. Pyocyanin (PYO), the inducer of SoxS promoter is also an oxidative stressor23; E. coli attenuates oxidative stress primarily by two global transcriptional regulators, SoxS and OxyS63. Here we sought to determine whether CRISPR-mediated repression of SoxS in the E. coli genome could lead to an improvement in SoxS promoter activity of plasmid-encoded transgenes and, in so doing, act as a electrogenetic signal amplifier. We expected that the repression of SoxS in the genome would have no effect on the pSoxS promoters present in the various CRISPRa constructs because SoxR drives the control of SoxS promoter and SoxR is untouched in our experiments.
We repurposed the transcriptional activator dCas9-ω for repression of SoxS-mediated oxidative stress responses by targeting soxS in the bacterial genome. The ideal dCas9 target site for repression is the −35 to −10 promoter region33, however, since we used the E. coli soxS promoter for electrical activation in the tunable gRNA plasmid pSC-S108, we chose to target a PAM site that was closest downstream site to the soxS transcriptional start site (TSS) in the genome. We targeted two PAM sites in the non-coding strand of the soxS gene at +4 bp and +5 bp and designed two corresponding gRNAs S-1 and S-2 (“Supplementary Methods”). We expressed these gRNAs, with a nonspecific control, under a strong constitutive promoter, J23119, and provided dCas9-ω via leaky expression from the Tet promoter as noted above. As a positive control for CRISPRi, we used dCas9 devoid of the ω subunit, a known transcriptional repressor33 using pdCas9. We transformed the respective gRNA and dCas9 plasmids into NB101 cells grown in LB media at 37 °C. At OD600 0.6, we induced soxS in the genome with 5 µM PYO in aerobic conditions and after 3 h, collected RNA and performed qPCR. We compared the relative levels of soxS expression under the presence of S1, S2 and control gRNAs in combination with both dCas9 and dCas9-ω (Fig. 4b). With control gRNAs, there was a ~12 to 17-fold increase in soxS expression compared to the no PYO condition. Importantly, with S1 and S2 gRNA, there was no increase in soxS upon addition of PYO, demonstrating effective CRISPRi. Since soxS repression from S1 gRNA was marginally better than S2, we used S1 in all further experiments. Also, since there was no difference in repression levels between dCas9 and dCas9-ω, we proceeded with dCas9-ω for further experiments.
Our objective was the repression of soxS in the genome via CRISPR and thereby obviating the upregulation of various SoxS-regulated defense response genes, a potential metabolic burden for the cells in future electrogenetic applications. Using qPCR, we measured the expression levels of two genes highly upregulated by SoxS: sodA (superoxide dismutase A) and fumC (fumarate hydratase). Under similar conditions as in Fig. 4b, S1 and dCas9-ω prevented upregulation of both sodA and fumC (Supplementary Fig. 9). To confirm, we added 0.5 mM paraquat, a strong and well-characterized oxidant19. We found ~75-fold activation of the soxS with the control gRNAs (Supplementary Fig. 10a), but in the presence of soxS specific S1 gRNA and dCas9-ω, soxS was repressed to background levels. Similarly, sodA (Supplementary Fig. 10b) and fumC (Supplementary Fig. 10c) were not upregulated due to the absence of elevated SoxS.
Next, we studied if the repression of soxS in the E. coli genome lead to improvements in plasmid-encoded SoxS promoter activity. We used a previously described electrogenetic reporter plasmid pTT0123 origin containing phiLOV under the SoxS promoter with a pBR322 origin (denoted pSoxS-phiLOV) and inserted a cassette for the S1 gRNA sequence to be expressed under the J23119 constitutive promoter (creating pSoxS-phiLOV:pS1gRNA). Under anaerobic conditions, we induced the NB101 cells harboring pSoxS-phiLOV:pS1gRNA with 5 mM Fcn(O) and 5 µM PYO and measured phiLOV fluorescence levels via flow cytometry. As controls, we also transformed just pSoxS-phiLOV into DJ901 cells (ΔsoxRS). In Fig. 4c, phiLOV fluorescence measurements indicated that the addition S1 gRNA and dCas9-ω along with the pSoxS-phiLOV reporter plasmid led to a 3 to 4-fold increase in NB101 cells (WT for soxS). This was comparable to genetically modified DJ901 (ΔsoxRS) cells (Fig. 4c). We also engineered expression of S1 gRNA under a SoxS promoter with a pSC101* origin in plasmid pSCSoxS-S1gRNA. Here too, we observed a similar ~3-fold increase in phiLOV fluorescence. These results demonstrate that upregulation of the plasmid-encoded SoxS promoter was indeed enhanced by the concomitant downregulation of genomic SoxS.
Next, we focused on the use of CRISPR for constructing a portable electrogenetic signaling system by transferring these components to Salmonella. We designed specific gRNAs to repress soxS in S. enterica serovar Typhimurium LT2 and demonstrated enhanced electrogenetic promoter output from the E. coli SoxS promoters. First, we identified a PAM site downstream of the TSS at +29 bp in the non-coding strand of the soxS gene, denoted S3 gRNA (sequence in “Supplementary Methods”). We replaced the gRNA sequence in plasmid pSoxS-phiLOV:pS1gRNA to create pSoxS-phiLOV:pS3gRNA and transformed it along with pdCas9-ω into Salmonella LT2. We grew the cells to OD600 0.6 under aerobic conditions and induced the soxS in the genome with 5 µM PYO. After 3 hours, we collected RNA samples and performed qPCR. As controls, we also had Salmonella without the S3 gRNA and dCas9-ω. Upon addition of PYO, in controls there was a ~14-fold increase in soxS gene expression. However, with S3 gRNA and dCas9-ω, there was no significant increase in soxS indicating successful CRISPR-based repression of soxS in the Salmonella genome (Supplementary Fig. 11). Next to verify whether the repression of soxS in the genome would lead to an increase in E. coli SoxS promoter activity, we grew Salmonella LT2 cells containing pSoxS-phiLOV:pS3gRNA and pdCas9-ω to OD600 0.6 in LB media under aerobic conditions and later resuspended the cells in minimal-M9 media and moved them to anaerobic conditions. We then added 10 µM PYO and 5 mM Fcn(R) and applied a +0.5 V oxidizing potential. After a discharge of −0.5 C, we moved the cells to 37 °C inside the anaerobic chamber and measured phiLOV fluorescence over the ensuing 6 h. As controls, we performed similar experiments without the gRNA. Results (Fig. 4d) revealed minimal expression overall without the electronic charge, while fluorescence reached 300–800 (a.u.) after an applied charge of −0.5 C. Notably, the pSoxS-phiLOV results demonstrated up to a 4-fold increase in gene expression without repression of soxS. In the cases with dCas9-ω and soxS guide RNA, the soxS driven gene expression increased another 2–4-fold, especially in the 6 h samples. These results demonstrate that soxS repression in Salmonella genome resulted in an increased electrogenetic output from the E. coli soxS promoter in Salmonella as well. More importantly, these results indicated that our electrogenetic approach was portable to non-chassis strains such as Salmonella and that CRISPRi could be employed to target select genes in additional genomes leading to more diverse system designs.
Having shown that we could repurpose the dCas9-ω transcriptional activator to repress genes as well by simply targeting the dCas9-gRNA complexes downstream of a transcription start site, we sought to study whether CRISPRi and CRISPRa could be performed simultaneously at different sites using the same activator in E. coli. We expressed both 108 gRNA and the S1 gRNA as a single hybrid gRNA transcript from the same SoxS promoter. To mediate gRNA processing, we introduced self-cleaving ribozymes (see Supplementary Fig. 12a). We observed the phiLOV activating 108 gRNA to be functional resulting in phiLOV fluorescence (Supplementary Fig. 12b) and the soxS repressing gRNA to be functional (Supplementary Fig. 12c) resulting in an increase in phiLOV fluorescence from the SoxS promoter (Supplementary Fig. 12d). These results indicated (i) successful ribozyme mediated RNA processing resulting in gRNAs with different functionalities and (ii) that dCas9-ω can simultaneously perform transcriptional repression and activation at different sites. However, with multiplexed RNA’s, while there was an increase in phiLOV fluorescence from the SoxS promoter, there was no increase in CRISPRa-mediated phiLOV fluorescence (Supplementary Fig. 12b) suggesting the limitations of this approach. More studies are needed to identify the factors that govern the linearity of both the SoxS-mediated enhancement of SoxS promoter activity as well as CRISPRa.
Importantly, results in Fig. 4 demonstrate that the transcriptional activator dCas9-ω can be repurposed for repression of oxidative stress defense response genes leading to a concomitant 3–4-fold overall enhancement in plasmid-encoded SoxS promoter activity in E. coli as well as Salmonella. From an information processing perspective, the oxidative stress response is analogous to noise and attenuation of this noise led to focused metabolic activity towards phiLOV expression; analogous to the amplification of information. The ease with which these systems can be transported across various species with minimal genome wiring indicates its portability.
Spatiotemporal electronic control of eCRISPR
To demonstrate the importance of eCRISPR as a signal amplifier and filter in spatiotemporal environments, we constructed a bio-device interface where electrical inputs are translated into a transient biochemical gradient. Then, biological signaling networks inside the cells respond to these external gradients depending on their location (Fig. 5a). We expected that the presence of CRISPR circuits would result in an overall biological signal amplification while still preserving the gradient nature of the informational signals that exist at the interface of electronic and biologic signaling networks.
First, we created an electrochemical gradient of Fcn. We filled the Owl Easycast B1A (Thermo Scientific) gel electrophoresis system with minimal-M9 media supplemented with 50 mM potassium ferrocyanide and 5 µM PYO. The apparatus was placed in an anaerobic chamber and a continuous +0.3 V potential was applied across the apparatus for 8 hours. The conversion of Fcn(R) to Fcn(O) was shown by measuring absorbance at 420 nm (Fig. 5b). A distinct ferricyanide gradient was revealed over time with the highest level of Fcn(O) being directly adjacent to the working electrode. As expected, these levels increased over time for the 8 h period.
Next, to study the effect of the ferricyanide gradients on electrogenetic cells, we immobilized cells within gelatin hydrogels, immersed these gels in media, applied charge for specified times, and evaluated their responses. Cells were grown in MOPS-M9 media to OD600 0.5, encapsulated into gelatin hydrogels and cast onto microscope slides (Methods). We placed the hydrogel laden slides (3 at a time, in parallel lanes) in the middle chamber of the gel apparatus (Fig. 5a) and applied a potential of +0.3 V for 8 h. The microscope slides were then removed and analyzed by confocal microscopy for phiLOV fluorescence (Supplementary Fig. 13). We tested various cell populations including W3110 cells with phiLOV reporter plasmids (pSoxS-phiLOV), NB101 cells with pdCas9-ω and phiLOV reporters, as well as NB101 cells with pdCas9-ω and pSoxS-phiLOV:pS1gRNA plasmids. Results indicated that in all cell populations, upon electrical induction for 8 h, cell fluorescence decreased with increasing distance away from the working electrode, corresponding to the ferricyanide gradient. Most notably, within the various cell types, NB101 cells with pdCas9-ω and pSoxS-phiLOV:pS1gRNA plasmids, carrying the SoxS specific gRNA had a nearly 2-fold increase in fluorescence at all distances. Also, the change in fluorescence for cells containing the CRISPRi mechanism decreased with distance (Fig. 5c). In Fig. 5d, we tested several conditions where either the PYO or the Fcn(O) or the electric charge was removed. As anticipated, there was no enhanced cell fluorescence after 8 h in all these cases. In some conditions, a mixture of 25 mM Fcn(O) and Fcn(R) each was added to avoid potential toxicity from high concentrations of Fcn(O) while still maintaining the total Fcn concentration at 50 mM as in the other control conditions. The only condition in which there was appreciable fluorescence was when 25 mM Fcn(O), 25 mM Fcn(R), and 5 μM PYO as well as the +0.3 V electric field were applied to the device. These data indicated that cells cast in 2% gelatin did not respond to spiked 25 mM Fcn(O) unless an external charge was applied over the 8 h duration (Fig. 5d). Both the conversion of Fcn(R) to Fcn(O) and Fcn(O) renewal were enabled in these tests by the presence of the electric field. This was reflected in the increase of fluorescence at the leading edge of this control in Fig. 5d.
Together, these data support the conclusion that eCRISPR provides an enhanced response to electrochemically created spatial gradients of ferricyanide and that these gradients can control cell function across large length scales and within immobilized cells. As a result, eCRISPR can be used to develop congruent spatiotemporal responses within a transmission gradient that non-engineered cells struggle to decode.
In this work, we first varied the stoichiometries of several CRISPRa components, leading to development of a tunable and inducible CRISPRa system. We next demonstrated electrogenetic control by transitioning actuation to the SoxRS regulon; a ~15-fold electrogenetic transcriptional activation was found. Third, we repurposed the dCas9 based transcriptional activator to repress the host’s oxidative stress defense responses leading to 3–4-fold increase in SoxS promoter output in both E. coli and Salmonella. Finally, we showed using a gel electrophoresis system, that gene expression could be spatiotemporally controlled via simple electronics.
Also, while a tunable CRISPRa system was found by manipulating gRNA expression, efforts to control expression via manipulation of dCas9 were unsuccessful. In addition, the inherent leaky expression of dCas9 from Tet promoters was more than enough for transcriptional activation and further increases in dCas9 decreased target gene expression. This problem of transcriptional control has been overcome in the recent past by exploiting various post translational approaches where dCas9 and transcriptional activators are engineered with dimerizing domains and expressed as two separate subunits that then dimerize upon optical64 or small molecule65 input. While we have successful integration of a CRISPRa system into our SoxS-mediated electrogenetic circuits as indicated by ~15-fold activation of phiLOV, direct transcriptional activation of phiLOV from SoxS promoters was ~40-fold under similar plasmid copy number conditions23. Differences in efficiencies of activation in these cases could be attributed to contrasting ways in which transcription is initiated in these two scenarios. While in the case of the CRISPRa system, the transcriptional activator ω subunit recruits and stabilizes RNA polymerase at sites upstream of desired promoters, in the case of SoxS promoters, the RNA polymerase is readily assembled on the promoter and upon SoxR oxidation there is a conformational change in −35 region of the SoxS promoter leading to transcriptional activation66. Interestingly, SoxS was recently shown as an activating subunit in CRISPRa system with better transcriptional activation over the ω subunit34. Overall, incorporation of CRISPR-based synthetic transcriptional regulators as an intermediate layer between electrogenetic promoters and genes of interest provides the flexibility to electrically target, activate and repress multiple genes simultaneously.
In conclusion, we propose an electrogenetic methodology in which direct connection between electronic signals and bacterial cells can mediate expression of target genes. Emergence of eCRISPR provides the capability to electronically target specific genes in the genome of organisms and importantly, the integration of CRISPR with electronics provides the capability to electrically turn ON and OFF several genes simultaneously. In this way, electronically programmed information is transmitted to and within biology using a medium of redox as a communication channel. As a proof of concept, we have demonstrated programed silencing of host defense responses and concomitant transgene activation. This builds on the multiplexed power of CRISPR. We believe that the further development of these capabilities to electronically target select genes across the host genomes could be a significant tool in bioelectronics research where so far, the focus has traditionally been on altering ionic currents and targeting cells and tissues rather than specific molecules and genes within cells. This work, therefore, furthers our ability to electronically control biological function. By altering voltage in a programmed manner, one can actuate genes in modified cells that, in turn, can mediate native biological signaling processes. We have exploited redox communication, in particular, as redox mediators provide a means for transferring electronic information from electrodes into biological systems. While not discussed in detail here, applications for such modulation are abundant. For example, quorum sensing is intrinsically connected to gut microbiome67,68 and its ability to influence disease is well recognized. Integration of electrogenetic promoters with quorum sensing networks in bacteria could perhaps enable direct electric modulation of gut microbiomes, especially if these systems are incorporated into devices such as an ingestible electronic capsule69. This work will also broaden the application of synthetic biology, where problems pertaining to chassis compatibility are frequently reported. Simultaneous activation and repression mechanisms are important for moderating or supporting host behavior and for the successful adaptation of synthetic biology toolsets across a wide range of organisms.
Strains and plasmids
Strains and plasmids used in this study are listed in Supplementary Table 1. Strain E. coli NB101 (ΔrpoZ, lacZ), created for use in CRISPR experiments was generated from background strain E. coli ZK12670 using primers described here in ref. 33 and λ red recombinase71. All the primers used in building plasmids are listed in Supplementary Table 2 and we used standard molecular biology protocols such as restriction cloning, Gibson assembly and site directed mutagenesis for construction of plasmids.
Media and growth conditions
We used lysogeny broth (LB) for all experiments performed in aerobic conditions. We grew overnight cultures in LB media at 37 °C and the following day reinoculated cultures in fresh LB media at 1:100 ratio and used as per instructions in each specific experiment. For experiments performed under anaerobic conditions, we first grew cells to OD600 0.6 in LB media under aerobic conditions, washed and later resuspended in minimal-M9 media (1x M9 salts, 0.4% glucose, 0.2% casamino acids, 2 mM MgSO4, 0.1 mM CaCl2 and 100 mM MOPS) and used for further experiments. We created anaerobic conditions in an anaerobic chamber (Coy, MI) using a gas mixture comprising of 90% nitrogen, 5% carbon dioxide and 5% hydrogen. Ampicillin (50 µg/ml), kanamycin and chloramphenicol (each 25 µg/ml) were added as per requirements.
We used a Spectramax M2 plate reader (Molecular Devices, CA) to measure GFP fluorescence with excitation/emission wavelengths of 488/520 nm. To measure phiLOV fluorescence via flow cytometry (BD, NJ), we used constant forward and side scatter settings and a 488 nm laser with a 530/30 green filter (Supplementary Fig. 14). A minimum of 50,000 cells were used for each sample and data analysis was performed using FACSDiva (BD) and MS-Excel.
AI-1 reporter assay
We grew AI-1 reporter cells (an E. coli strain containing plasmid pAL10572) overnight in LB media with kanamycin and tetracycline at 37 °C and the next day diluted the reporter cells 2500x in fresh LB media. We also diluted conditioned media (CM) from AI-1 producer cells to 1000x or 100x in LB media. We added 10 µL of each diluted CM sample with 90 µL of diluted reporter cells in FACS tubes (BD, NJ) and incubated for 3 h in a 30 °C shaker. After incubation, we measured luminescence using a GloMAX luminometer (Promega, WI). AI-1 activity was reported as the luminescence values normalized to a control with fresh LB media added instead of CM.
Electrochemical set up for electrical activation
To electrically activate the cells, we devised an electrochemical sample setup inside the anaerobic chamber that consisted of two glass vials with one vial consisting of 1 ml of cells in minimal-M9 media supplemented with Fcn(R) and PYO and the other consisting of 1 ml of Fcn(O). We used two gold wires (0.5 mm diameter, ~50 cm in length) immersed in each vial as working and counter electrodes with an Ag/AgCl electrode (CH Instruments, TX) as a reference electrode. Vials were connected by two salt bridges. We connected all electrodes to a CHI Instruments 600-series potentiostat for controlling voltages. For conversion of Fcn(R) to Fcn(O), we applied a constant oxidizing voltage via the working electrode with Ag/AgCl as reference. Since the voltage was kept constant, the amount of time taken to apply the desired electric charge varied from few seconds to 3–4 min. Upon application of desired charge in the anaerobic chamber, we removed the cells from vials, transferred them to culture tubes and incubated in a 37 °C incubator for varying amounts of time inside the anaerobic chamber without shaking. For time course experiments, we removed 100 µL of cells at each time point and fixed with 2% paraformaldehyde for a minimum of 15 min and used for flow cytometry.
Spatiotemporal redox signaling apparatus
We used an Owl Easycast B1A (Thermo Scientific) gel electrophoresis system in the anaerobic chamber to create electrochemical gradients. We degassed the minimal-M9 media by constant stirring under anaerobic conditions and added 200 ml of degassed media into the electrophoresis gel system. Later, we supplemented the media with 50 mM potassium ferrocyanide and 5 µM PYO. To create a gradient, our electrochemical setup consisted of a working electrode connected to the left chamber of the device, a counter electrode connected to the right chamber of the device, and an Ag/AgCl reference electrode placed near the working electrode in the left chamber of the device. Reference was isolated from the media by a low pass frit. All the electrodes were connected to a CHI 620E potentiostat and a desired electric charge was applied.
Gelatin encapsulation of bacterial cells and imaging
We grew cell populations in minimal-M9 media to OD600 0.5 and a 2x concentration of OD600 0.5 cells was mixed with a 2% gelatin solution maintained at 37 °C in minimal-M9 media. We poured this mixture evenly onto glass slides which were demarcated into 0.25 sq. inch segments and the mixtures were cooled for 10 min at 4 °C (Supplementary Fig. 13). Microscope slides with each of the three cell types were then transferred into an anaerobic chamber and carefully placed side-by-side in the middle chamber of the gel apparatus described above inside a 30 °C incubator in the anaerobic chamber. Slides were carefully placed with minimal residence in the media prior to the application of the electric potential. After application of electric potential for 8 h, the microscope slides were removed from the gel apparatus and analyzed by laser scanning confocal microscopy for phiLOV fluorescence (488 nm laser and 530/30 green filter) at the demarcated positions on the glass slides. Images were analyzed using ImageJ to determine the per-cell fluorescence of a minimum of 10,000 cells.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
The data that support the findings of this study are available from the corresponding author upon request. The source data underlying Figs. 2–5 and Supplementary Figs. 1–12 are provided as a Source data file. All other relevant data, including plasmid sequences and plasmids, are additionally available upon request.
Shannon, C. E. A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423 (1948).
Levchenko, A. & Nemenman, I. Cellular noise and information transmission. Curr. Opin. Biotech. 28, 156–164 (2014).
Zoll, P. M. Resuscitation of the heart in ventricular standstill by external electric stimulation. N. Engl. J. Med. 247, 768–771 (1952).
Price, C. I. & Pandyan, A. D. Electrical stimulation for preventing and treating post-stroke shoulder pain: a systematic Cochrane review. Clin. Rehabil. 15, 5–19 (2001).
Kloth, L. C. Electrical stimulation for wound healing: a review of evidence from in vitro studies, animal experiments, and clinical trials. Int. J. Low. Extrem. Wounds 4, 23–44 (2005).
Hodgkin, A. L. The ionic basis of electrical activity in nerve and muscle. Biol. Rev. 26, 339–409 (1951).
Li, J. et al. Electrochemical reverse engineering: a systems-level tool to probe the redox-based molecular communication of biology. Free Radic. Biol. Med. 105, 110–131 (2017).
Gordonov, T. et al. Electronic modulation of biochemical signal generation. Nat. Nanotechnol. 9, 605–610 (2014).
Naito, Y., Uchiyama, K. & Takagi, T. Redox-related gaseous mediators in the gastrointestinal tract. J. Clin. Biochem. Nutr. 63, 1–4 (2018).
Chiurchiù, V. & Maccarrone, M. Chronic inflammatory disorders and their redox control: from molecular mechanisms to therapeutic opportunities. Antioxid. Redox Signal. 15, 2605–2641 (2011).
Brüne, B. et al. Redox control of inflammation in macrophages. Antioxid. Redox Signal. 19, 595–637 (2013).
Go, Y.-M. & Jones, D. P. Redox theory of aging: implications for health and disease. Clin. Sci. 131, 1669–1688 (2017).
Dietrich, L. E. P., Teal, T. K., Price-Whelan, A. & Newman, D. K. Redox-active antibiotics control gene expression and community behavior in divergent bacteria. Science 321, 1203–1206 (2008).
Dietrich, L. E. P., Price-Whelan, A., Petersen, A., Whiteley, M. & Newman, D. K. The phenazine pyocyanin is a terminal signalling factor in the quorum sensing network of Pseudomonas aeruginosa. Mol. Microbiol. 61, 1308–1321 (2006).
Hillard, E. A. et al. Electrochemical parameters and techniques in drug development, with an emphasis on quinones and related compounds. Chem. Commun. 23, 2612–2628 (2008).
Frew, J. E. & Hill, H. A. Direct and indirect electron transfer between electrodes and redox proteins. Eur. J. Biochem. 172, 261–269 (1988).
Kang, M. et al. Signal processing approach to probe chemical space for discriminating redox signatures. Biosens. Bioelectron. 112, 127–135 (2018).
Shang, W. et al. Selective assembly and functionalization of miniaturized redox capacitor inside microdevices for microbial toxin and mammalian cell cytotoxicity analyses. Lab Chip 18, 3578–3587 (2018).
Wu, J. & Weiss, B. Two-stage induction of the soxRS (superoxide response) regulon of Escherichia coli. J. Bacteriol. 174, 3915–3920 (1992).
Gonzalez-Flecha, B. & Demple, B. Role for the oxyS gene in regulation of intracellular hydrogen peroxide in Escherichia coli. J. Bacteriol. 181, 3833–3836 (1999).
Schreck, R., Rieber, P. & Baeuerle, P. A. Reactive oxygen intermediates as apparently widely used messengers in the activation of the NF-kappa B transcription factor and HIV-1. EMBO J. 10, 2247–2258 (1991).
Kansanen, E., Kuosmanen, S. M., Leinonen, H. & Levonen, A.-L. The Keap1-Nrf2 pathway: mechanisms of activation and dysregulation in cancer. Redox Biol. 1, 45–49 (2013).
Tschirhart, T. et al. Electronic control of gene expression and cell behaviour in Escherichia coli through redox signalling. Nat. Commun. 8, 14030 (2017).
McKay, R. et al. A platform of genetically engineered bacteria as vehicles for localized delivery of therapeutics: toward applications for Crohn’s disease. Bioeng. Transl. Med. 3, 209–221 (2018).
McKay, R., Hauk, P., Quan, D. & Bentley, W. E. Development of cell-based sentinels for nitric oxide: ensuring marker expression and unimodality. ACS Synth. Biol. 7, 1694–1701 (2018).
Virgile, C. et al. Engineering bacterial motility towards hydrogen-peroxide. PLoS ONE 13, e0196999 (2018).
McKay, R. et al. Controlling localization of Escherichia coli populations using a two-part synthetic motility circuit: an accelerator and brake. Biotechnol. Bioeng. 114, 2883–2895 (2017).
Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013).
La Russa, M. F. & Qi, L. S. The new state of the art: Cas9 for gene activation and repression. Mol. Cell. Biol. 35, 3800–3809 (2015).
Gilbert, L. A. et al. Genome-scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014).
Dominguez, A. A., Lim, W. A. & Qi, L. S. Beyond editing: repurposing CRISPR-Cas9 for precision genome regulation and interrogation. Nat. Rev. Mol. Cell Biol. 17, 5–15 (2016).
Chavez, A. et al. Highly efficient Cas9-mediated transcriptional programming. Nat. Methods 12, 326–328 (2015).
Bikard, D. et al. Programmable repression and activation of bacterial gene expression using an engineered CRISPR-Cas system. Nucleic Acids Res. 41, 7429–7437 (2013).
Dong, C., Fontana, J., Patel, A., Carothers, J. M. & Zalatan, J. G. Synthetic CRISPR-Cas gene activators for transcriptional reprogramming in bacteria. Nat. Commun. 9, 2489 (2018).
Hirose, A., Kouzuma, A. & Watanabe, K. Towards development of electrogenetics using electrochemically active bacteria. Biotechnol. Adv. 37, 107351 (2019).
Sadat Mousavi, P. et al. A multiplexed, electrochemical interface for gene-circuit-based sensors. Nat. Chem. 12, 48–55 (2020).
Cheng, Y. et al. Biocompatible multi-address 3D cell assembly in microfluidic devices using spatially programmable gel formation. Lab Chip 11, 2316–2318 (2011).
Lewandowski, A. T. et al. Towards area-based in vitro metabolic engineering: assembly of Pfs enzyme onto patterned microfabricated chips. Biotechnol. Prog. 24, 1042–1051 (2008).
Kang, M. et al. Reliable clinical serum analysis with reusable electrochemical sensor: toward point-of-care measurement of the antipsychotic medication clozapine. Biosens. Bioelectron. 95, 55–59 (2017).
Peng, X., Liu, Y., Bentley, W. E. & Payne, G. F. Electrochemical fabrication of functional gelatin-based bioelectronic interface. Biomacromolecules 17, 558–563 (2016).
Li, Y. et al. Self-assembly with orthogonal-imposed stimuli to impart structure and confer magnetic function to electrodeposited hydrogels. ACS Appl. Mater. Interfaces 7, 10587–10598 (2015).
Adams, B. L. The next generation of synthetic biology chassis: moving synthetic biology from the laboratory to the field. ACS Synth. Biol. 5, 1328–1330 (2016).
Hasty, J., Pradines, J., Dolnik, M. & Collins, J. J. Noise-based switches and amplifiers for gene expression. Proc. Natl Acad. Sci. USA 97, 2075–2080 (2000).
Gardner, T. S. & Collins, J. J. Neutralizing noise in gene networks. Nature 405, 520–521 (2000).
Hebert, C. G., Valdes, J. J. & Bentley, W. E. Beyond silencing–engineering applications of RNA interference and antisense technology for altering cellular phenotype. Curr. Opin. Biotechnol. 19, 500–505 (2008).
Srivastava, R., Peterson, M. S. & Bentley, W. E. Stochastic kinetic analysis of the Escherichia coli stress circuit using sigma(32)-targeted antisense. Biotechnol. Bioeng. 75, 120–129 (2001).
Srivastava, R., Cha, H. J., Peterson, M. S. & Bentley, W. E. Antisense downregulation of sigma(32) as a transient metabolic controller in Escherichia coli: effects on yield of active organophosphorus hydrolase. Appl. Environ. Microbiol. 66, 4366–4371 (2000).
Kim, E. J., Kramer, S. F., Hebert, C. G., Valdes, J. J. & Bentley, W. E. Metabolic engineering of the baculovirus-expression system via inverse “shotgun” genomic analysis and RNA interference (dsRNA) increases product yield and cell longevity. Biotechnol. Bioeng. 98, 645–654 (2007).
Desai, R. P. & Papoutsakis, E. T. Antisense RNA strategies for metabolic engineering of Clostridium acetobutylicum. Appl. Environ. Microbiol 65, 936–945 (1999).
Tummala, S. B., Junne, S. G. & Papoutsakis, E. T. Antisense RNA downregulation of coenzyme A transferase combined with alcohol-aldehyde dehydrogenase overexpression leads to predominantly alcohologenic Clostridium acetobutylicum fermentations. J. Bacteriol. 185, 3644–3653 (2003).
Demple, B. Redox signaling and gene control in the Escherichia coli soxRS oxidative stress regulon—a review. Gene 179, 53–57 (1996).
Tsao, C.-Y., Hooshangi, S., Wu, H.-C., Valdes, J. J. & Bentley, W. E. Autonomous induction of recombinant proteins by minimally rewiring native quorum sensing regulon of E. coli. Metab. Eng. 12, 291–297 (2010).
Li, J. et al. A stochastic model of Escherichia coli AI-2 quorum signal circuit reveals alternative synthesis pathways. Mol. Syst. Biol. 2, 67 (2006).
Wang, L., Hashimoto, Y., Tsao, C. Y., Valdes, J. J. & Bentley, W. E. Cyclic AMP (cAMP) and cAMP receptor protein influence both synthesis and uptake of extracellular autoinducer 2 in Escherichia coli. J. Bacteriol. 187, 2066–2076 (2005).
Wu, H. C. et al. Autonomous bacterial localization and gene expression based on nearby cell receptor density. Mol. Syst. Biol. 9, 636 (2013).
Bhokisham, N. et al. Modular construction of multi-subunit protein complexes using engineered tags and microbial transglutaminase. Metab. Eng. 38, 1–9 (2016).
DeLisa, M. P., Wu, C. F., Wang, L., Valdes, J. J. & Bentley, W. E. DNA microarray-based identification of genes controlled by autoinducer 2-stimulated quorum sensing in Escherichia coli. J. Bacteriol. 183, 5239–5247 (2001).
Wang, L., Li, J., March, J. C., Valdes, J. J. & Bentley, W. E. luxS-dependent gene regulation in Escherichia coli K-12 revealed by genomic expression profiling. J. Bacteriol. 187, 8350–8360 (2005).
Lu, Z. et al. CRISPR-assisted multi-dimensional regulation for fine-tuning gene expression in Bacillus subtilis. Nucleic Acids Research 47, e40–e40, https://doi.org/10.1093/nar/gkz072 (2019).
Cress, B. F. et al. Rapid generation of CRISPR/dCas9-regulated, orthogonally repressible hybrid T7-lac promoters for modular, tuneable control of metabolic pathway fluxes in Escherichia coli. Nucleic Acids Res. 44, 4472–4485 (2016).
Reisch, C. R. & Prather, K. L. The no-SCAR (Scarless Cas9 assisted recombineering) system for genome editing in Escherichia coli. Sci. Rep. 5, 15096 (2015).
Buckley, A. M., Petersen, J., Roe, A. J., Douce, G. R. & Christie, J. M. LOV-based reporters for fluorescence imaging. Curr. Opin. Chem. Biol. 27, 39–45 (2015).
Farr, S. B. & Kogoma, T. Oxidative stress responses in Escherichia coli and Salmonella typhimurium. Microbiol. Rev. 55, 561–585 (1991).
Nihongaki, Y., Kawano, F., Nakajima, T. & Sato, M. Photoactivatable CRISPR-Cas9 for optogenetic genome editing. Nat. Biotechnol. 33, 755–760 (2015).
Zetche, B., Volz, S. E. & Zhang, F. A Split Cas9 architecture for inducible genome editing and transcription modulation. Nat. Biotechnol. 33, 139–142 (2015).
Brown, N. L., Stoyanov, J. V., Kidd, S. P. & Hobman, J. L. The MerR family of transcriptional regulators. FEMS Microbiol. Rev. 27, 145–163 (2003).
Thompson, J. A., Oliveira, R. A. & Xavier, K. B. Chemical conversations in the gut microbiota. Gut microbes 7, 163–170 (2016).
Foo, J. L., Ling, H., Lee, Y. S. & Chang, M. W. Microbiome engineering: Current applications and its future. Biotechnol. J. 12, 1600099 (2017).
Mimee, M. et al. An ingestible bacterial-electronic system to monitor gastrointestinal health. Science 360, 915–918 (2018).
Connell, N., Han, Z., Moreno, F. & Kolter, R. An E. coli promoter induced by the cessation of growth. Mol. Microbiol. 1, 195–201 (1987).
Datsenko, K. A. & Wanner, B. L. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc. Natl Acad. Sci. USA 97, 6640–6645 (2000).
Lindsay, A. & Ahmer, B. M. Effect of sdiA on biosensors of N-acylhomoserine lactones. J. Bacteriol. 187, 5054–5058 (2005).
We would like to thank Dr. Luciano Marraffini for gifting JEN201 strain and plasmids pWJ89, pWJ66 and pWJ108. We would like to thank Dr. Shirley Micallef for the Salmonella enterica serovar Typhimurium LT2 strain. We would also like thank DTRA (HDTRA1-19-0021), NSF (DMREF #1435957, ECCS#1807604, CBET#1805274), the National Institutes of Health (R21EB024102), and Agilent, Inc., for their generous support. All raw data are available in our Supplementary Information or upon request.
The authors declare no competing interests.
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Bhokisham, N., VanArsdale, E., Stephens, K.T. et al. A redox-based electrogenetic CRISPR system to connect with and control biological information networks. Nat Commun 11, 2427 (2020). https://doi.org/10.1038/s41467-020-16249-x
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