Skip to main content
Nature Communications logoLink to Nature Communications
. 2022 Dec 9;13:7624. doi: 10.1038/s41467-022-33576-3

Genetic manipulation of the human gut bacterium Eggerthella lenta reveals a widespread family of transcriptional regulators

Xueyang Dong 1, Ben G H Guthrie 2, Margaret Alexander 2, Cecilia Noecker 2, Lorenzo Ramirez 2, Nathaniel R Glasser 1, Peter J Turnbaugh 2,3, Emily P Balskus 1,4,
PMCID: PMC9734109  PMID: 36494336

Abstract

Eggerthella lenta is a prevalent human gut Actinobacterium implicated in drug, dietary phytochemical, and bile acid metabolism and associated with multiple human diseases. No genetic tools are currently available for the direct manipulation of E. lenta. Here, we construct shuttle vectors and develop methods to transform E. lenta and other Coriobacteriia. With these tools, we characterize endogenous E. lenta constitutive and inducible promoters using a reporter system and construct inducible expression systems, enabling tunable gene regulation. We also achieve genome editing by harnessing an endogenous type I-C CRISPR-Cas system. Using these tools to perform genetic knockout and complementation, we dissect the functions of regulatory proteins and enzymes involved in catechol metabolism, revealing a previously unappreciated family of membrane-spanning LuxR-type transcriptional regulators. Finally, we employ our genetic toolbox to study the effects of E. lenta genes on mammalian host biology. By greatly expanding our ability to study and engineer gut Coriobacteriia, these tools will reveal mechanistic details of host-microbe interactions and provide a roadmap for genetic manipulation of other understudied human gut bacteria.

Subject terms: Bacterial genetics, Transcriptional regulatory elements


Eggerthella lenta is a prominent human gut bacterium implicated in several physiological processes, but its study has remained limited. Here, by developing a genetic toolbox for E. lenta, the authors provide insights into how the bacterium regulates drug and dietary compound metabolism.

Introduction

Eggerthella lenta is an anaerobic Gram-positive Coriobacteriia found in the gastrointestinal tracts of around 80% of humans1. This gut organism has received attention because of its strong links to human health and its unique metabolic capabilities. E. lenta can cause bloodstream infections and is considered an opportunistic human pathogen2,3. Eggerthella species are also associated with several chronic human diseases, including asthma4, renal disease5, multiple sclerosis6, and rheumatoid arthritis7, although a causal role for Eggerthella in these disorders has not yet been established. E. lenta and related human gut Coriobacteriia also perform a wide variety of metabolic transformations, including inactivation of the widely used cardiac drug digoxin8,9, various reactions of dietary phytochemicals10,11, dehydroxylation of catechols12,13, and metabolism of bile acids14,15. Gaining a mechanistic understanding of these metabolic activities and their regulation in a host setting could better inform efforts to modulate gut microbial activities to improve human health.

The interactions of E. lenta and closely related Gordonibacter species with catechols (compounds containing a 1,2-dihydroxylated aromatic ring) highlight intriguing fundamental questions. These gut organisms use a recently discovered class of molybdenum-dependent enzymes to catalyze the chemically challenging removal of a hydroxyl group from catechol substrates12. This dehydroxylation reaction occurs on a wide range of catechols in the human gut, including dietary phytochemicals and host neurotransmitters, likely altering their bioactivity and bioavailability. Recently identified catechol dehydroxylases include the E. lenta enzymes dopamine dehydroxylase (Dadh), which acts on the catecholamine neurotransmitters dopamine and norepinephrine, hydrocaffeic acid dehydroxylase (Hcdh), and catechin dehydroxylase (Cadh), as well as the Gordonibacter enzymes 3,4-dihydroxyphenylacetic acid dehydroxylase (Dodh) and catechol lignan dehydroxylase (Cldh)1113. These enzymes are expressed with high specificity in response to individual catechol substrates, facilitating their discovery using RNA-sequencing and activity-guided purification. However, the mechanisms underlying the regulation of these metabolic activities in E. lenta are completely uncharacterized.

Genetically manipulating pathways in E. lenta, including critical genes involved in catechol metabolism, could elucidate fundamental biological mechanisms and impact human health. However, the whole Coriobacteriia taxon, including E. lenta, is currently genetically intractable. Recently, genome-scale analyses of large E. lenta strain collections, combined with culture-based experiments, revealed antibiotic resistance phenotypes, genes predictive of intra-species competitive fitness1, genes involved in intestinal Th17 cell activation16, and CRISPR-Cas systems17. These studies included whole genome sequencing, comparative genomics1, RNA sequencing11,12, and animal experiments using natural E. lenta isolates with differing gene content16. However, the lack of genetic tools to directly manipulate E. lenta and other Coriobacteriia species has been a major barrier for elucidating mechanistic details of their genetic regulation, biochemical processes, and interactions with mammalian hosts and other microbes.

Here, we report a systematic toolkit to genetically manipulate gut Coriobacteriia. We rationally designed E. lenta shuttle plasmids with different antibiotic selection markers and achieved efficient transformation into an E. lenta type strain. We then developed a reporter system, inducible expression systems, and methods for both genome engineering and gene complementation of E. lenta. We used this toolkit to characterize the mechanisms underlying the regulation of catechol dehydroxylase enzyme expression. Our work uncovered the critical role of a unique class of LuxR-type transcriptional regulators, which possess an N-terminal 12-transmembrane helix domain, in activating the expression of catechol dehydroxylases and other metabolic enzymes. Finally, we used our tools to validate that the cgr operon, a strain-variable locus in E. lenta that encodes the digoxin-metabolizing enzyme, is necessary for Th17 activation in vivo by performing targeted gene deletion and in vivo experiments. The development of this genetic toolkit now sets the stage for additional efforts that will reveal mechanistic details of human gut Coriobacteriia-host interactions. Our workflow can also serve as a model for the development of similar approaches for genetic manipulation of other understudied human gut bacteria.

Results

Construction and transformation of shuttle plasmids for E. lenta

To construct a shuttle vector between E. coli and E. lenta, we searched for potential replicative origins on previously reported endogenous E. lenta circular plasmids1. E. lenta DSM 11863 harbours a 3.0 kb cryptic plasmid (accession NZ_PPUC01000060.1) which we designated pEL11863 (Fig. 1a). pEL11863 contains two genes predicted to be involved in plasmid replication and maintenance: repB, encoding a replicative protein, and pre, encoding a hypothetical protein annotated as a plasmid recombination enzyme. These two genes are flanked by a 0.5 kb intergenic region containing AT-rich repeated sequences, which are indicative of the origin of replication. The rest of pEL11863 contains a polycistronic ORF that encodes a toxin-antitoxin module, which is characteristic of the bacterial plasmid addiction systems that maintain plasmid stability18. We reasoned that repB, pre and the intergenic region might be sufficient for plasmid replication and maintenance in E. lenta, and we chose pEL11863 for further engineering.

Fig. 1. Engineering of an E. lenta endogenous plasmid enables efficient transformation of E. lenta and Gordonibacter.

Fig. 1

a An E. lenta endogenous plasmid pEL11863 was chosen for further engineering. b Construction of shuttle plasmids pXD69m1 and pXD69m2, and the broad-host-range plasmid pXD68Kan2. Shuttle plasmids pXD69m1 and pXD69m2 were constructed by assembly of E. lenta pEL11863 replicon (dark green), E. coli ColE1 origin and bla ampicillin-resistance gene (blue), and E. lenta antibiotic resistance gene tetW (orange) or aphA (light green). pXD68Kan2 was constructed from RSF1010-based broad host-range plasmid pAM5409, with antibiotic resistance gene replaced by aphA, and the RSF1010 replicon (dark green) and yfp (grey) originally on pAM5409 were retained. c Plasmids pXD69m1, pXD69m2 and pXD68Kan2 can be transformed into E. lenta DSM 2243 using electroporation. d Plasmid-specific PCR confirmed plasmid presence within individual colonies. Plasmids (P) and WT gDNA were used as control templates. Amplified regions are indicated in Supplementary Fig. 1a. M: DNA ladder. e Plasmid pXD69m2 can be transformed into Gordonibacter sp. 28C using electroporation. f The transformation efficiency of plasmids pXD69m1, pXD69m2 and pXD68Kan2 into different E. lenta and Gordonibacter strains. ND: colonies not detected. Data in panel f are represented as mean ± SD with n= 3 biological replicates. Source data are provided as a Source Data file.

An antibiotic resistance gene is required for selection of transformants. It has been reported that predicted aminoglycoside phosphotransferase AphA confers kanamycin resistance to certain E. lenta strains and that putative ribosomal protection protein TetW provides tetracycline resistance1. Though these proteins can protect the heterologous bacterial host E. coli from the corresponding antibiotics1, their utilization as selection marker genes in E. lenta had not been demonstrated. We added these two antibiotic resistance genes and their native promoters to our plasmid by ligating the predicted replicon on pEL11863 with an E. lenta antibiotic resistance gene, the E. coli replicative origin and the ampicillin-resistance gene bla to make shuttle vectors pXD69m1(TetW) and pXD69m2(AphA), respectively (Fig. 1b).

With these two shuttle plasmids constructed, we next screened different E. lenta strains for their ability to be transformed using electroporation. In our initial trials, we used an aqueous solution containing 10% glycerol as an electroporation buffer to prepare electrocompetent cells. Among the strains tested, E. lenta DSM 2243 had the highest transformation efficiency, as it could be transformed with either shuttle plasmid (Fig. 1c). The kanamycin-resistance plasmid pXD69m2 showed higher transformation efficiency (8.1 × 103 ± 1.4 × 103 colony-forming units (CFUs)/µg DNA), whereas the tetracycline-resistance plasmid pXD69m1 exhibited lower efficiency (73 ± 12 CFUs/µg DNA) (Fig. 1f). Both plasmids were detected within the transformants using plasmid-specific PCR (Fig. 1d; Supplementary Fig. 1a). These transformants displayed steady growth in liquid medium supplemented with the corresponding antibiotics (Supplementary Fig. 1b), confirming aphA and tetW are effective selection markers for E. lenta. We further screened electroporation conditions to identify an optimal workflow (Supplementary Fig. 1c, d).

We next aimed to use our optimized electroporation protocol to facilitate the transformation of additional plasmids into E. lenta DSM 2243. This could enable co-transformation of expression vectors to simultaneously express multiple recombinant proteins or construct sophisticated gene regulation circuits. A previous study employed in situ bacterial conjugation to transform a plasmid containing the broad host range replicon RSF1010 into a diverse gut microbial community and obtained an Eggerthella transconjugant19. However, it was unclear which species of Eggerthella was conjugated and whether the RSF1010 plasmid could be introduced into E. lenta using our electroporation protocol. To address these questions, we constructed another aphA-encoding plasmid named pXD68Kan2 containing the RSF1010 replicon20 (Fig. 1b). We found that pXD68Kan2 can also be efficiently transformed into E. lenta DSM 2243 (1.3 × 104 ± 1.5 × 103 CFUs/µg DNA) (Fig. 1c, d, f) and the transformants also displayed steady growth in liquid medium (Supplementary Fig. 1b). To test the possibility of delivering multiple plasmids into E. lenta DSM 2243, we prepared competent cells of E. lenta DSM 2243 harbouring pXD69m1 (E. lenta DSM 2243/pXD69m1), and then transformed this strain with either pXD69m2, which contains the same replicon as pXD69m1, or pXD68Kan2, which contains a different replicon. Using kanamycin/tetracycline dual antibiotic selection, we found both plasmids could be transformed into E. lenta DSM 2243/pXD69m1 with similar transformation efficiencies (1.9 × 102 ± 9 × 101 CFUs/µg DNA for pXD69m2, 2.4 × 102 ± 4 × 101 CFUs/µg for pXD68Kan2) (Fig. 1f). This will enable further efforts to establish more complex genetic circuits for E. lenta. We also assessed plasmid maintenance in E. lenta DSM 2243 by culturing E. lenta strains in the absence of antibiotics, and we found that pXD69m2 and pXD68Kan2 plasmids exhibited higher segregation stability than pXD69m1 (Supplementary Fig. 1e).

We next tested if our shuttle plasmids could be delivered to closely related bacteria using our optimal electroporation conditions. We tested additional E. lenta strains and Gordonibacter species in our Coriobacteriia collection that were reported to be kanamycin-sensitive1. E. lenta AB8n2 was transformable with both pXD69m2 (9.3 × 102 ± 4.2 × 102 CFUs/µg DNA) and pXD68Kan2 (50 ± 0 CFUs/µg DNA) (Fig. 1f; Supplementary Fig. 1f). Gordonibacter sp. 28 C could be transformed with pXD69m2 (22 ± 10 CFUs/µg DNA, Fig. 1e, f) but not pXD68Kan2. Gordonibacter urolithinfaciens DSM 27213 was transformable with both pXD69m2 (80 ± 42 CFUs/µg DNA) and pXD68Kan2 (9.2 × 102 ± 8 × 101 CFUs/µg DNA) (Fig. 1f; Supplementary Fig. 1f). These results suggest that the pEL11863-derived and RSF1010-based replicons are replicative across multiple species of Coriobacteriia. Together, our shuttle vectors and transformation protocol provide a means of delivering genetic payloads to formerly genetically intractable gut Coriobacteriia.

Development of lacZ as reporter gene for E. lenta

We next aimed to expand our toolkit by characterizing and engineering the genetic parts and methodologies needed for functional characterization efforts. Notably, we required a set of predictable genetic components to drive heterologous gene expression; however, our understanding of E. lenta gene regulation is extremely limited. To address this obstacle, we assessed the activity of different endogenous E. lenta promoters.

Reporter systems are frequently used for evaluation of promoter strength and gene expression levels under different conditions. To develop such a system for E. lenta, we first tested if β-galactosidase (β-Gal) could be used as a reporter gene. No background β-Gal activity was detected in the E. lenta DSM 2243 wild-type (WT) strain (Fig. 2b), confirming that it lacks endogenous β-Gal enzymes. We then cloned E. coli lacZ encoding β-Gal into the pXD69m2 vector (Fig. 2a). We placed lacZ downstream of two different E. lenta native promoters that RNA-seq experiments indicate are expressed constitutively at high levels13. The first native constitutive promoter PdegV controls the expression of Elen_1941, a gene encoding a conserved degV family protein. Another stronger constitutive promoter Pcsd, identified from previous RNA-seq data13 controls the expression of a predicted cold-shock DNA-binding domain protein Elen_0979. A promoterless lacZ fusion was also constructed as a negative control. We transformed these reporter plasmids into E. lenta DSM 2243 and found the lacZ reporters showed a high dynamic range of over four orders of magnitude in E. lenta (Fig. 2b). The Pcsd and PdegV constructs both exhibited robust β-Gal activity consistent with the expression levels observed in earlier RNA-seq experiments (Fig. 2b)13. Finally, we further optimized experimental conditions to increase the throughput of the β-Gal assays (Supplementary Fig. 2a), establishing the lacZ reporter as a convenient tool to measure promoter activity in E. lenta.

Fig. 2. A lacZ reporter system enables characterization of E. lenta endogenous promoters and synthetic inducible expression systems.

Fig. 2

a E. coli lacZ is introduced into pXD69m2 vector as a reporter gene in E. lenta. b LacZ assays revealed a high dynamic range for the lacZ reporter system in E. lenta. β-Gal activity was normalized to Miller units. c Design of cumate-inducible expression systems using the CymR repressor and CuO, expressed under the control of Bacillus and E. lenta promoters in plasmids pXD70CT5 and pXD70CT3, respectively. d LacZ assays revealed tight regulation of cumate-inducible expression systems pXD70CT3 and pXD70CT5. e Design of IPTG-inducible expression system in plasmid pXD70LacZ6. f LacZ assays for pXD70LacZ6. Data in panels b, d, and f are represented as mean ± SD with n = 3 biological replicates. Source data are provided as a Source Data file.

Construction and characterization of synthetic inducible expression systems

Development of an inducible expression system independent of host signalling pathways would allow temporal control of gene expression in E. lenta. Such a system could better support real-time analysis of the functions of microbiome gene products21 and optimize the balance between cell fitness and product synthesis for metabolic engineering22. To identify an optimal inducible expression system for E. lenta, we first attempted to adapt several systems developed for other bacteria. We observed tight regulation of expression and strong induction with a cumate-inducible system23. In this construct, pXD70CT5, we introduced cumate-regulatory elements, including a CymR repressor and a cumate operator (CuO) from a Bacillus vector23 into our lacZ vector (Fig. 2c). In the absence of cumate, we observed low expression levels of lacZ. At cumate concentrations below 8 μM, lacZ expression increased in a dose-dependent manner (Fig. 2d). At cumate concentrations above 8 μM, lacZ expression was fully derepressed, with a 20-fold change between fully induced and uninduced cultures (Fig. 2d). Cumate had no significant influence on bacterial growth at concentrations as high as 500 μM (Supplementary Fig. 2b).

Inspired by the modular design of this cumate-inducible expression system, we next attempted to build similar genetic expression systems using E. lenta endogenous promoters. In our previous experiments, the activity of PdegV and Pcsd varied by over 25-fold. In construct pXD70CT3, we used PdegV to control expression of repressor CymR, and used Pcsd inserted with a CuO to drive lacZ expression (Fig. 2c; Supplementary Fig. 2c). This system also showed tight gene regulation, exhibiting a 22-fold change in lacZ expression levels between fully induced and uninduced cultures, similar to pXD70CT5 (Fig. 2d). Full de-repression of lacZ was reached at a cumate concentration of 62.5 μM using pXD70CT3 (Fig. 2d), which is significantly higher than that achieved with pXD70CT5 and is likely due to increased repressor expression under promoter PdegV. Thus, two tightly controlled and highly inducible expression systems, made from either Bacillus or endogenous E. lenta promoters, have been developed for E. lenta.

In addition to the cumate-inducible systems, we found that E. lenta harbouring the pXD70LacZ6 plasmid, which features a LacI repressor/LacO operator construct (Fig. 2e) adapted from E. coli vector pMAL-c2x24, could respond to IPTG (isopropyl β-D-1-thiogalactopyranoside). This construct exhibited virtually no detectable lacZ activity at IPTG concentrations below 2 μM and reached maximum lacZ expression levels at an IPTG concentration of 62.5–125 μM (Fig. 2f; Supplementary Fig. 2d). The maximum lacZ levels of pXD70LacZ6 were significantly lower than those in cumate-inducible expression systems, indicating that this construct might be useful for expressing genes at low levels. Replacing the Ptac promoter that controls the lacZ expression with stronger constitutive promoters could potentially yield IPTG-inducible constructs with broader dynamic ranges in E. lenta.

Characterization of native inducible expression systems in E. lenta

Native bacterial promoters that respond to host-derived and dietary compounds have been engineered to regulate gene expression in a variety of human gut bacteria2527. As a formerly intractable species, the repertoire of native inducible promoters in E. lenta is largely unknown. As highlighted earlier, the expression of various E. lenta catechol dehydroxylase enzymes is specifically upregulated by their substrates12,13 (Fig. 3a), indicating the presence of catechol-inducible promoters regulated by uncharacterized transcriptional factors.

Fig. 3. Promoters of E. lenta catechol dehydroxylases exhibit high specificity for individual enzyme substrates.

Fig. 3

a Key reactions catalyzed by E. lenta catechol dehydroxylases. b Genomic contexts of dadh in the non-dopamine metabolizing strain E. lenta DSM 2243 and the dopamine-metabolizing E. lenta A2. c Genomic contexts of cadh and hcdh in E. lenta DSM 2243. d Design of Pdadh reporters pXD70LacZ2 and pXD70LacZ7, Pcadh reporters pXD70LacZ8.1 and pXD70LacZ8, and Phcdh reporters pXD70LacZ9 and pXD70LacZ9.1. e LacZ assays revealed the transcriptional response of catechol dehydroxylase promoter reporters to corresponding catechols. f LacZ assays revealed the high specificity of each catechol dehydroxylase promoter construct for individual enzyme substrates. Data represented as mean ± SD with n = 3 biological replicates for e and f. Source data are provided as a Source Data file.

We thus harnessed our lacZ reporter system to identify and characterize the cis-acting elements that control the transcriptional response of E. lenta to dopamine. Notably, there is considerable strain-level variability in dopamine dehydroxylation among E. lenta. Sequenced E. lenta strains all encode Dadh, but only some metabolize dopamine13. This difference in activity strongly correlates with a single nucleotide polymorphism in dadh that introduces an amino acid variation, with metabolizing strains encoding an arginine at position 506 of Dadh, and strains with little or no metabolism possessing a serine (Fig. 3b)13. Though E. lenta DSM 2243 does not metabolize dopamine, the inactive variant of dadh is still upregulated by dopamine13, which suggests the elements regulating dadh expression are still functional. Importantly, the dadh gene cluster of E. lenta DSM 2243 closely resembles that of the dopamine-metabolizing strain E. lenta A2 (Fig. 3b). These features make E. lenta DSM 2243 an amenable host to study the transcriptional response to dopamine.

We first tested if the dadh promoter reporter Pdadh-lacZ (pXD70LacZ2) could be induced by dopamine (Fig. 3d). Consistent with the hypothesis that Pdadh controls the expression of dadh in response to dopamine, E. lenta DSM 2243 harbouring the pXD70LacZ2 construct responded to dopamine in a concentration-dependent manner, reaching maximum activity at 250 μM (Fig. 3e). Since we did not include any trans-acting factors in pXD70LacZ2, its induction must be mediated by transcriptional regulators encoded in the chromosome. We hypothesized that regulation of dadh in response to dopamine might be mediated by locus-specific transcriptional regulators, which prompted us to examine the genomic neighbourhoods of this gene. The genomic context of dadh includes two putative transcriptional regulators encoded in the opposite orientation, one annotated as a LuxR-type transcriptional regulator (Elen_0473) and the other a LysR-type transcriptional regulator (Elen_0474) (Fig. 3b). We designate these putative regulators as DadR (dadh LuxR-type regulator) and DadS (dadh LysR-type regulator), respectively. Interestingly, in addition to a C-terminal helix-turn-helix (HTH) DNA-binding domain (DBD), which is a typical feature of LuxR-type regulators28, DadR possesses a predicted N-terminal 12-transmembrane helix (TM) domain (Supplementary Fig. 3a). This unusual domain architecture has not previously been reported for this regulator family. Notably, predicted 12-TM LuxRs are located near genes encoding multiple other important E. lenta metabolic enzymes, including the catechol dehydroxylases Cadh and Hcdh12 (Fig. 3c), and the enzymes Cgr28,9 and Ber11 that metabolize the cardiac glycoside digoxin and the plant lignan pinoresinol, respectively (Supplementary Fig. 3b). The domain architectures and genomic contexts of these LuxRs led us to propose they might mediate expression of co-localized metabolic enzymes.

We then sought to characterize the biological functions of these 12-TM LuxRs in E. lenta, beginning with the putative dopamine metabolism regulator DadR. To address the influence of DadR and DadS on the expression of genes downstream of Pdadh, we constructed a dadR/dadS-Pdadh-lacZ fusion (pXD70LacZ7, Fig. 3d). pXD70LacZ7 showed a significantly stronger response to dopamine compared to pXD70LacZ2 (Fig. 3e). We reasoned that in pXD70LacZ7, DadR and DadS are likely overexpressed compared to the WT strain harbouring pXD70LacZ2 as the pXD70LacZ7 plasmid supplies additional copies of these genes, ultimately resulting in higher expression of lacZ. These results indicated that DadR and/or DadS likely mediate activation of Pdadh.

Because the induction of catechol dehydroxylases is specific to their individual substrates12, we next tested whether the response of the lacZ reporters reflects the substrate specificity of Dadh. We observed that the response of pXD70LacZ7 is indeed specific to Dadh substrates (Fig. 3f), with expression strongly induced by dopamine and norepinephrine, but not by hydrocaffeic acid or (+)-catechin, which are substrate or substrate precursor of other catechol dehydroxylases and are not accepted by Dadh in vitro12.

We then sought to characterize the specificities of additional catechol dehydroxylase promoters towards their inducers. E. lenta DSM 2243 metabolizes (+)-catechin by first cleaving its C-ring using uncharacterized enzymes followed by B-ring dehydroxylation using Cadh (Fig. 3a)12. It also dehydroxylates hydrocaffeic acid using Hcdh (Fig. 3a)12. 12-TM LuxR-type regulators, which we designate as CadR (cadh regulator) and HcdR (hcdh regulator), are encoded close to cadh and hcdh (Fig. 3c). Unlike dadR, no LysR-type regulators are encoded next to these LuxRs. We hypothesized that CadR and HcdR regulate expression of cadh and hcdh, respectively, in response to their specific substrates. To assess the promoter responses towards different catechols, we constructed cadh promoter reporters with regulator-encoding gene cadR, pXD70LacZ8 (cadR-Pcadh-lacZ), and without cadR, pXD70LacZ8.1 (Pcadh-lacZ), respectively (Fig. 3d). For the hcdh promoter reporters, we constructed pXD70LacZ9 (Phcdh-lacZ) and pXD70LacZ9.1 (hcdR-Phcdh-lacZ) which contains the regulator-encoding gene hcdR under its native promoter segregated from the reporter sequences by a transcriptional terminator (Fig. 3d). Both pXD70LacZ8 and pXD70LacZ8.1 responded to (+)-catechin, the precursor of the Cadh substrate, and both pXD70LacZ9 and pXD70LacZ9.1 responded to hydrocaffeic acid (Fig. 3e). Interestingly, constructs that included the putative regulator-encoding gene (pXD70LacZ8 for Pcadh and pXD70LacZ9.1 for Phcdh) exhibited stronger lacZ induction than the corresponding constructs lacking these regulators (Fig. 3e), suggesting CadR and HcdR might also be transcriptional activators. Congruent to the observed specificity of Pdadh, pXD70LacZ8 only responded to (+)-catechin, and pXD70LacZ9.1 only responded to hydrocaffeic acid (Fig. 3f). As we could not test the actual, ring-cleaved Cadh substrate in these experiments, we cannot tell if CadR is responding to (+)-catechin or this pathway intermediate. Overall, these findings identify a panel of highly specific native E. lenta inducible promoters which may be further engineered and employed for regulating gene expression.

Expression of catechol dehydroxylases in E. lenta

The ability to express proteins of interest in E. lenta could facilitate the functional and biochemical characterization of proteins that are challenging to obtain from other heterologous hosts. Heterologous expression of E. lenta catechol dehydroxylases has been unsuccessful to date, likely due to their complex requirements for metallocofactor assembly12,13. We tested our inducible systems by expressing Dadh from the dopamine metabolizing strain E. lenta A2 in the non-metabolizer E. lenta DSM 2243. We used both the native promoter Pdadh and the cumate-inducible promoter to drive expression of the active Dadh catalytic subunit (R506 variant) and two additional subunits that are encoded next to the catalytic subunit and are proposed to serve as electron transfer and membrane anchor partners (Dadh(A2)) (Fig. 4a). In construct pXD70DA7, we placed dadR/dadS-Pdadh upstream of dadh(A2) (Fig. 4a). This resembles the genomic context of dadh and could potentially increase its expression levels analogous to what we observed in the lacZ reporter assay. In construct pXD70DAmt1, we mutated the R506 in Dadh(A2) catalytic subunit on pXD70DA7 into S506 to test the influence of this substitution on dopamine metabolism (Fig. 4a). In construct pXD70DA9, we used the same cumate-inducible promoter as in pXD70CT5 (Pct5) to drive expression of Dadh(A2) (Fig. 4a).

Fig. 4. Introducing the active Dadh variant into the non-dopamine metabolizing strain E. lenta DSM 2243 results in dopamine dehydroxylation.

Fig. 4

a Schematic of pXD70DA7, pXD70DAmt1, and pXD70DA9 constructs. b LC-MS/MS to quantify the production of dopamine dehydroxylation metabolite m-tyramine after incubation with corresponding E. lenta cultures for 48 h. Data represented as mean ± SD with n = 4 biological replicates. Source data are provided as a Source Data file.

Testing these Dadh expression constructs revealed successful implementation of this strategy. Incubating E. lenta DSM 2243 cultures harbouring pXD70DA7 with 1 mM dopamine for 48 h resulted in steady dopamine metabolism, in contrast to the WT strain and cultures harbouring pXD70mt1 which showed <2% conversion (Fig. 4b). E. lenta DSM 2243 cultures harbouring pXD70DA9 were incubated with 1 mM dopamine with or without 50 μM cumate for 48 h. The cultures with cumate induction showed high activity, metabolizing ~84% of the dopamine, while the cultures lacking cumate induction showed lower conversion of dopamine (~8%), and cumate didn’t induce any activity in the WT strain (Fig. 4b). These results show that introducing the active Dadh variant (R506) into E. lenta DSM 2243 renders this non-metabolizing strain capable of dopamine dehydroxylation, validating this amino acid as the key determinant for Dadh activity. We also successfully demonstrated the use of a synthetic inducible promoter for regulation of an E. lenta metabolic activity.

Activation of a native CRISPR-Cas3 system enables markerless genomic engineering and deletion of dadR in E. lenta

Since the E. lenta DSM 2243 chromosome already contains the transmembrane LuxR-encoding genes, we could not draw definitive conclusions about their functions in regulating catechol dehydroxylases based on reporter assays alone. Further functional characterization of this unusual family of transcriptional regulators requires methods for targeted gene deletion in E. lenta. Development of gene editing systems accelerates elucidation of the functions of bacterial gene products, and CRISPR-Cas systems have been engineered as a programmable platform for gene editing in numerous bacterial species2932. Several E. lenta isolates contain a type I-C CRISPR-Cas system which is actively transcribed and capable of targeting chromosomal DNA in the heterologous host Pseudomonas aeruginosa (Fig. 5a)17. We thus explored the possibility of repurposing the E. lenta CRISPR-Cas system for endogenous gene editing and applied this system to characterize the functions of the unusual 12-TM LuxR-type regulators.

Fig. 5. Repurposing the endogenous type I-C CRISPR-Cas system in E. lenta enables markerless deletion of dadR.

Fig. 5

a Architecture of the CRISPR-Cas locus in E. lenta DSM 2243. b Spacer choice for dadR-targeting crRNA and optimization of cumate-inducible crRNA construct. c Induction of dadR-targeting crRNA (gDadR) decreased the CFUs when compared to an uninduced control. No significant difference in CFUs was observed when the NT was induced. A single representative image is shown with n = 3 biological replicates. d Repair template is introduced to make editing plasmid pXD71Cas10.1RT. To probe potential dadR deletion, primers flanking the repair template were used. e Workflow for generating the ΔdadR deletion strain. f PCR screening of colonies formed after initial pXD71Cas10.1RT transformation revealed most colonies contained both non-edited (4 kb) and edited cells (2.5 kb). g PCR screening of colonies formed after spreading initial pXD71Cas10.1RT transformant cultures onto a cumate-containing plate revealed clean ΔdadR mutants (2.5 kb), which was further confirmed by Sanger sequencing. Experiments shown in panels f and g were performed once on randomly selected colonies. Source data are provided as a Source Data file.

To achieve self-targeting, we sought to construct a minimal CRISPR array (crRNA) to direct the Cas effectors to the host chromosome. As self-targeting typically results in strong cytotoxicity, which impairs plasmid transformation29,30, we used the inducible system Pct5 employed in pXD70CT5 to make a cumate-inducible dadR-targeting crRNA plasmid (Fig. 5b). We attempted to introduce this plasmid into E. lenta DSM 2243 by electroporation but observed no colonies after several attempts, likely due to cytotoxicity triggered by basal expression of self-targeting crRNA. To strengthen repression, we introduced an additional CymR repressor binding site (CuO) downstream of the existing CuO region to construct a new dadR-targeting plasmid pXD71Cas10.1 (Fig. 5b), which enabled formation of transformants. This new promoter displayed lower basal expression levels than the original Pct5, confirmed by β-Gal activity assays (Supplementary Fig. 4a). To test the functionality of the CRISPR-Cas system in its native host, starter cultures grown in the absence of cumate were plated on media supplemented with the selecting antibiotic and containing or lacking 50 μM cumate. We observed a 103-fold decrease in CFUs when the dadR-targeting crRNA (gDadR) was induced, whereas no significance difference was observed when a non-targeting (NT) control crRNA was induced (Fig. 5c). This drastic cytotoxicity suggested the CRISPR-Cas system in E. lenta is operating with high levels of activity and target specificity.

Further PCR screening of the surviving colonies from gDadR induction showed no deletion at the target site (Supplementary Fig. 4b). Instead, we observed spacer excision via homologous recombination between the direct repeats from the pXD71Cas10.1 plasmid of the surviving colonies (Supplementary Fig. 4c). Since gene deletion requires DNA repair after self-targeting, these results suggested the E. lenta DNA repair process was not efficient in the absence of a repair template. We next introduced a repair template into the crRNA plasmid. The template was designed to contain sequences 1 kb upstream and 1 kb downstream of dadR and was inserted into pXD71Cas10.1 to generate editing plasmid pXD71Cas10.1RT (Fig. 5d). After transformation with pXD71Cas10.1RT (Fig. 5e), PCR of the transformants revealed that the majority contained a mixture of cells lacking a deletion (4 kb) and cells containing the targeted deletion (2.5 kb) (Fig. 5f). This result suggested that basal expression of crRNA and subsequent genomic editing had occurred to some extent when initial colonies formed in the absence of inducer. When these partially edited colonies were transferred to a plate containing 50 μM cumate (Fig. 5e), cells lacking the deletion were eliminated and only colonies with the targeted deletion were identified (Fig. 5g). We designated this strain as ΔdadR. Thus, we demonstrated the endogenous type I-C CRISPR-Cas system can be repurposed to perform genomic engineering in E. lenta. Since type I-C CRISPR-Cas systems exist in many other Coriobacteriia (Supplementary Fig. 4d), this approach may enable genomic engineering of other Coriobacteriia.

12-TM LuxRs activate catechol dehydroxylase expression in response to specific substrates

To characterize the function of this 12-TM LuxR family, we initially tested the effects of dadR deletion on dadh expression. We first performed RT-qPCR to quantify levels of dadh mRNA in DSM 2243 WT and ΔdadR strains upon exposure to dopamine. In the presence of dopamine, dadh was induced to about 29-fold in WT strain, whereas in ΔdadR strains, the levels of dadh expression were low and unaffected by the presence of dopamine (Fig. 6a). These data suggest DadR is responsible for activating the expression of dadh in the presence of dopamine.

Fig. 6. Gene deletion and complementation reveal that E. lenta DadR, HcdR, and CadR are transmembrane transcriptional activators.

Fig. 6

a RT-qPCR to test dadh upregulation on exposure to dopamine in E. lenta DSM 2243 WT, ΔdadR and complementation strains. b Schematic of the domain organization of DadR and DadR mutants examined in this work. c Schematic of pXD70Tet(DadH) and pXD70Tet(DadHR) constructs for testing the relevance of DadR for E. lenta dopamine metabolism. d LC-MS/MS to quantify the production of dopamine dehydroxylation metabolite m-tyramine after incubation with corresponding E. lenta cultures for 72 h. e Deletion of hcdR in E. lenta DSM 2243 to generate ΔhcdR strain. f Deletion of cadR in E. lenta DSM 2243 to generate ΔcadR strain. g LC-MS/MS to quantify the production of hydrocaffeic acid dehydroxylation metabolite m-HPPA after incubation with corresponding E. lenta cultures for 48 h. h RT-qPCR to test hcdh upregulation on exposure to hydrocaffeic acid in E. lenta DSM 2243 WT and ΔhcdR. i, LC-MS/MS to quantify the production of (+)-catechin C–O cleavage metabolite and dehydroxylation metabolite after incubation with corresponding E. lenta cultures for 48 h. j RT-qPCR to test cadh upregulation on exposure to (+)-catechin in E. lenta DSM 2243 WT and ΔcadR. k Proposed mechanisms of 12-TM LuxR-mediated gene regulation in response to catechol inducer. Data represented as mean ± S.E.M. with n = 3 biological replicates in a, h, and j. Data represented as mean ± SD with n = 4 biological replicates in d and i. Data represented as mean ± SD with n = 3 biological replicates in g. Source data are provided as a Source Data file.

To validate the function of DadR, we sought to complement the ΔdadR strain, which should restore the transcriptional response of dadh to dopamine. We first attempted to cure the crRNA plasmid within the ΔdadR strain to enable delivery of a second kanamycin-resistance plasmid. However, we found the crRNA plasmid exhibited high segregation stability, as the plated colonies were still resistant to kanamycin after five rounds of passaging in medium lacking kanamycin. This prompted us to transform the ΔdadR strain with a second plasmid possessing a different antibiotic resistance gene. To construct this plasmid, we cloned dadR under its native promoter into the pXD69m1 vector to generate tetracycline-resistance plasmid pXD70Tet(DadR). We then transformed the ΔdadR strain with pXD70Tet(DadR) or pXD69m1 vector (Supplementary Fig. 5a, b). RT-qPCR analysis revealed that, in the complementation strain ΔdadR/DadR, dadh basal expression levels in the absence of dopamine were about 3 times higher than in the uninduced WT, which might result from higher levels of DadR overexpressed from the plasmid. In the presence of dopamine, dadh was induced to about 3400 times higher than in the uninduced WT (Fig. 6a). Introduction of the empty vector (ΔdadR/vector) did not restore dadh induction (Fig. 6a). These results thus demonstrate that DadR is a bona fide LuxR-type transcriptional regulator that responds to dopamine and activates the expression of dadh.

We then sought to test whether dadh gene regulation by DadR is relevant to dopamine metabolism. E. lenta DSM 2243 is a dopamine non-metabolizing strain, and as shown above, introduction of an active Dadh(A2) variant to E. lenta DSM 2243 allows E. lenta DSM 2243 to metabolize dopamine. This system enabled us to test the relevance of DadR to dopamine metabolism in E. lenta DSM 2243. We constructed a tetracycline-resistance plasmid pXD70Tet(DadH) encoding the active Dadh variant Dadh(A2) under native Pdadh promoter without cognate regulators (Fig. 6c). We introduced this plasmid into ΔdadR mutant and DSM 2243 WT E. lenta strains. We found this plasmid could render the DSM 2243 WT strain, but not the ΔdadR mutant, active for dopamine dehydroxylation (Fig. 6d). This finding suggests that the lack of DadR-mediated dadh induction in ΔdadR prevents dopamine metabolism. To further confirm DadR’s role, we included dadR in the Pdadh-Dadh(A2) construct to make another tetracycline-resistance plasmid pXD70Tet(DadHR) (Fig. 6c). This new plasmid rendered both DSM 2243 WT and ΔdadR mutant E. lenta capable of dehydroxylating dopamine (Fig. 6d). These results proved that the activation of dadh by DadR is essential for dopamine metabolism. To our knowledge, E. lenta DadR is the first functionally characterized transcriptional regulator that possess a 12-TM domain at its N-terminus, highlighting a potentially distinct mechanism of bacterial transcriptional regulation that responds to environmental cues.

To evaluate the importance of the TM domain and DBD of DadR for regulation of dopamine metabolism, we complemented the ΔdadR strain with plasmids encoding DadR mutants. These mutants lacked either the DBD (DadR(ΔDBD)) or 12-TM domain (DadR(ΔTM)), or contained a shuffled linker region connecting these domains (398–413) (DadR(linker)) (Fig. 6b; Supplementary Fig. 5c, d). RT-qPCR revealed no restoration of dopamine-induced dadh expression for ΔdadR strains complemented with DadR(ΔDBD) or DadR(ΔTM). In these two strains, dadh levels were close to the uninduced WT strain and were unaffected by dopamine (Fig. 6a). These results demonstrate that the 12-TM domain and the DBD are both essential for DadR function. Surprisingly, the strain complemented with DadR(linker) restored dopamine-induced dadh expression, although to a lesser extent than WT DadR. In the presence of dopamine, dadh expression levels in DadR(linker) reached to about 80-fold of those in the uninduced WT, which indicated the linker region might accommodate amino acid variation to some extent. In addition, to measure the expression of DadR and DadR mutants in E. lenta, we transformed the ΔdadR strain with plasmids encoding N-terminal FLAG-tagged DadR and DadR mutants. Using anti-FLAG antibody for Western blot (Supplementary Fig. 5e), we found that FLAG-DadR increased expression after exposure to dopamine, suggesting a potential autoregulation of DadR expression. Among the constructs incapable of inducing dadh in the presence of dopamine, the expression of FLAG-DadR(ΔTM) was confirmed by Western blot, confirming the lack of dadh induction in ΔdadR/DadR(ΔTM) was due to the inherent inactivity of this truncation mutant instead of protein degradation. Since non-specific signals prevented a clear readout of FLAG-DadR(ΔDBD) expression, we cannot exclude the possibility that insufficient expression or protein degradation of DadR(ΔDBD) leads to its observed inability to regulate dadh expression. These results set the stage for future site-directed mutagenesis of DadR to dissect the essential residues of the regulator.

We then sought to characterize the function of additional regulators with similar domain architecture. Though the similar domain organizations of HcdR and CadR relative to DadR imply a related function, their genomic contexts relative to their co-localized catechol dehydroxylase-encoding genes differ from that of dadR. Specifically, there are no LysR-type regulator-encoding genes downstream of hcdR and cadR, and hcdR is not encoded in direct proximity to hcdh. To further characterize these putative 12-TM LuxR family members, we tested whether HcdR and CadR also regulate catechol dehydroxylase expression. Using our genomic engineering method, we generated ΔhcdR and ΔcadR mutants from E. lenta DSM 2243 (Fig. 6e, f; Supplementary Fig. 6a, b). We found that hcdR deletion completely abolished hydrocaffeic acid metabolism in E. lenta (Fig. 6g), which is likely due to the lack of hcdh induction in the ΔhcdR mutant (Fig. 6h). Hydrocaffeic acid metabolism was restored by complementation with a hcdR-encoding plasmid, but not empty vector (Fig. 6g). These experiments demonstrate that HcdR regulates the transcription of hcdh in response to hydrocaffeic acid and is indispensable for hydrocaffeic acid metabolism. Similarly, cadR deletion abolished dehydroxylation, as the two-step metabolism of (+)-catechin stopped after the initial C–O bond cleavage (Fig. 6i). RT-qPCR revealed that cadh induction upon exposure to (+)-catechin was also abolished in E. lenta ΔcadR (Fig. 6j). The second dehydroxylation step in this pathway was restored by complementation of the ΔcadR mutant with cadR (Fig. 6i). These results show that CadR regulates the expression of the co-localized dehydroxylase cadh and dehydroxylation activity, without affecting the upstream C–O bond cleavage reaction. No cross-regulation was observed for HcdR and CadR, as the ΔhcdR mutant could completely metabolize (+)-catechin and the ΔcadR mutant metabolized hydrocaffeic acid (Supplementary Fig. 6c). In total, we characterized the functions of three 12-transmembrane helix LuxRs in regulating E. lenta enzyme expression and metabolic activity, indicating a shared role for the broader family in regulating individual metabolic activities.

10–12-transmembrane helix LuxRs are prevalent in Coriobacteriia

Having confirmed the roles of DadR, HcdR and CadR in regulating catechol metabolism, we assessed the diversity of related TM LuxRs in E. lenta. We first queried the E. lenta DSM 2243 genome for other proteins containing LuxR-type HTH DBDs (pfam00196) and analyzed the presence and number of TM helices in hits using the IMG/M database33. A total of 83 transmembrane LuxR-type regulators were found in this strain, with the majority having 10–12 N-terminal TM helices (Supplementary Data 1). These 10–12-TM LuxRs include 60 proteins possessing 12 TM helices, 8 with 11 TM helices, and 6 with 10 TM helices. These proteins share significant homology between their C-terminal DBDs (Supplementary Fig. 7a), whereas their N-terminal TM domains generally have low sequence identity (<20% amino acid identity) (Supplementary Data 2). In E. lenta DSM 2243, 19 TM LuxRs are encoded close to molybdenum-dependent enzymes and 50 are encoded in proximity to flavin-dependent enzymes (Supplementary Fig. 7b, c), suggesting they regulate E. lenta metabolism in response to many different substrates. Due to their similar domain architectures and TM helices, we consider these 10–12-TM helix LuxRs to be a previously unappreciated family of bacterial transcriptional regulators.

To delineate the distribution of TM helix LuxRs beyond E. lenta, we next queried other bacterial genomes. We found that LuxRs containing 10–12 N-terminal TM helices are widespread in Coriobacteriia, with multiple genera including Eggerthella, Adlercreutzia, Gordonibacter, and Slackia encoding >10 of these proteins per genome (Supplementary Data 3). Interestingly, bacteria containing >10 of such 10–12-TM LuxRs per genome are mostly Coriobacteriia (Supplementary Data 4). We further examined the relationship between the Coriobacteriia 10–12-TM helix LuxRs by building a sequence similarity network (SSN) using the web-based Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST)34 and Coriobacteriia protein sequences from IMG/M database which contain a pfam00196 domain (Bacterial regulatory proteins, LuxR family) and are predicted to have 10–12 N-terminal TM helices (Fig. 7). We then mapped our genetically characterized E. lenta DadR, HcdR and CadR, as well as other 10–12-TM LuxRs with postulated functions based on characterized co-localized enzymes, onto the SSN. We found some 10–12-TM LuxR groups, including DadR and HcdR, in multiple genera, while other 10–12-TM LuxRs are exclusive to a single genus, like CadR and the TM LuxR in the cgr operon, which are only found in Eggerthella. The vast majority of 10–12-TM LuxR clusters (>98%) cannot readily be assigned a function, suggesting this protein family has greatly diversified, potentially to adapt to different inducers and regulon sequences. Overall, the broad distribution and high diversity of 10–12-TM LuxRs in this taxon highlights an important biological role for these transcriptional regulators in this group of bacteria.

Fig. 7. Sequence similarity network of Coriobacteriia 10–12-TM LuxR regulators reveals high diversity of these regulators.

Fig. 7

The SSN was constructed using Coriobacteriia protein sequences from IMG/M database containing a pfam00196 domain (Bacterial regulatory proteins, LuxR family) and predicted to have 10–12 N-terminal TM helices. Nodes represent proteins with 95% sequence identity. SSN displayed with an alignment score of 80. Nodes are coloured based on the bacterial genera that protein sequences belong to. Coloured clusters contain LuxR sequences that either are characterized in this study or are co-localized with characterized enzymes, with their representative LuxRs and potential sensing molecules displayed.

Genomic engineering shows the cgr operon is necessary for Th17 cell activation by E. lenta in vivo

To further demonstrate the functional significance of developing a genetic toolkit for E. lenta, we sought to use our tools to study the effect of specific E. lenta genes on host biology. Specifically, we tested whether isogenic strains of E. lenta could recapitulate previously identified strain-variable traits. The strain-variable cgr (cardiac glycoside reductase) operon enables E. lenta to inactivate multiple cardenolides found in toxic plants, including the cardiac drug digoxin8,9. We recently discovered that the cgr operon also leads to the activation of intestinal Th17 cells, exacerbating mouse models of inflammatory bowel disease, potentially due to the metabolism of endogenous steroidal glycosides16. Colonization of mice with E. lenta strains that naturally vary in the presence of the cgr operon led to the expected differences in Th17 cell activation16; however, definitive results linking these genes to the observed phenotype are lacking due to the inability to construct targeted deletions and the marked differences in gene contents between strains1.

Using our genomic engineering method, we deleted cgr1 and cgr2 in E. lenta DSM 2243 to generate a Δcgr strain (Fig. 8a; Supplementary Fig. 6d). Long-read sequencing using the MinION platform confirmed the deletion of the cgr operon (Fig. 8a; Supplementary Fig. 8a). Additionally, we observed 120 single nucleotide polymorphisms, 25 small insertions (1–8 bp), and 81 small deletions (all 1 bp in length except one of 2 bp), likely due to a combination of errors in the reference genome and our de novo assembly (Supplementary Table 1). As the cgr-editing plasmid exhibited high segregation stability in the Δcgr strain (Supplementary Fig. 1g), a non-targeting crRNA plasmid containing the same repair template as the editing plasmid was transformed into E. lenta DSM 2243 WT to generate an isogenic WT control for the Δcgr strain.

Fig. 8. Genomic engineering and in vivo experiment show that the cgr operon is necessary for colonic Th17 induction by E. lenta.

Fig. 8

a Whole genome sequencing confirms the targeted deletion of the cgr operon. Additional reads flanking the deletion site are due to the presence of the editing plasmid in the long-read sequencing run, as indicated by red and green rectangles. b Schematic of in vitro Th17 skewing assay. c Fold-change of IL-17a levels relative to BHI control of CFS from E. lenta WT or Δcgr. d Experimental outline of mouse experiment. Germ-free C57BL/6J male mice ages 6–8 weeks were separated into groups and gavaged with E. lenta WT (n = 4) and Δcgr (n = 8). Bacteria were allowed to colonize for 2 weeks before the lamina propria was harvested. e No significant differences in E. lenta colonization on day 14. f Representative flow cytometry plots of colonic CD4+ IL-17a+ cells within the live CD3+ gate. Percentage of CD4 + IL-17a+ cells is displayed on the flow plot. g Percentage of colonic IL-17a+ CD4+ cells within the live CD3+ gate. h Total numbers of colonic IL-17a+ CD4+ cells within the live CD3+ gate. i Mean fluorescence intensity (MFI) of colonic IL-17a. All p-values are displayed and were calculated with one-way ANOVA tests with Tukey’s multiple correction or Welch’s t tests for two-way comparisons. Data represented as mean ± SD in c (BHI n = 16, WT and Δcgr n = 18 biological replicates), e (WT n = 3, Δcgr n = 7 because fecal pellets were unable to be collected from mouse 4 of the E. lenta WT group and mouse 8 of the Δcgr group) and gi (WT n = 4, Δcgr n = 8). Each dot represents an individual biological replicate in c or an individual mouse in e, g, h, and i. Panels ei show representative data from the first of two independent experiments. Source data are provided as a Source Data file.

Deletion of the cgr operon impaired the ability of E. lenta to induce Th17 cells in vitro and in gnotobiotic mice. Using our previously described in vitro assay for IL-17a induction16, we treated Th17-skewed splenic CD4+ T cells with cell free supernatant from the Δcgr and WT strains (Fig. 8b). IL-17a levels were significantly lower in response to E. lenta Δcgr relative to WT controls (Fig. 8c). To assess the physiological relevance of these findings, we mono-colonized germ-free (GF) C57BL/6 J adult male mice with E. lenta Δcgr or WT for 2 weeks and harvested the colonic lamina propria to quantify Th17 cells (Fig. 8d). Both strains colonized the distal gut to similar levels: 3.0 × 107 ± 1.0 × 107 Δcgr and 2.4 × 107 ± 9.5 × 106 WT CFUs/g stool (mean ± SD; Fig. 8e). As predicted, E. lenta WT led to a significant increase in colonic Th17 cells (Fig. 8f, g, h) and trending increase in IL-17a expression (Fig. 8i; Supplementary Fig. 8b) compared to the isogenic Δcgr strain. These differences were not observed in the ileum (Supplementary Fig. 8c–e). Our findings provide more definitive evidence that the cgr operon is necessary for the induction of colonic Th17 cells and emphasize the utility of these new tools for the genetic manipulation of E. lenta to decipher the effects of bacterial genes on the host.

Discussion

In this study, we develop a comprehensive set of genetic tools for a prominent, previously genetically intractable member of the human gut microbiota. Notably, we accomplish construction of reporter systems, inducible gene expression, and genome engineering in E. lenta. To our knowledge, this represents the first successful attempt to genetically manipulate members of the Coriobacteriia taxon systematically. Our study also highlights remaining challenges in developing genetic tools for E. lenta. The large variations in the transformation efficiency observed for different E. lenta strains is a current limitation, and more work is needed to understand this phenomenon and extend these technologies to other isolates.

We used these tools to decipher the regulation of E. lenta catechol dehydroxylases, providing initial insights into exquisitely specific induction of these enzymes. In this work, we characterized three endogenous promoters (Pdadh, Pcadh, and Phcdh) that are induced by dopamine/norepinephrine, (+)-catechin, and hydrocaffeic acid, respectively. The induction specificity of each promoter for different catechols matches the substrate specificity of the corresponding catechol dehydroxylase enzyme. The congruence of enzyme substrates and promoter inducers may apply to the many other E. lenta enzymes regulated by TM LuxRs; if so, one could envision uncovering substrates of uncharacterized enzymes by combining high-throughput screening of small molecules with construction of TM LuxR-based reporter systems.

Perhaps most importantly, we revealed that a unique class of LuxR-type transcriptional regulators is the key activator underlying the induction of catechol dehydroxylase enzymes in response to their substrates. These 10–12-TM LuxRs, like canonical LuxRs28, possess a C-terminal HTH DBD. Whereas canonical LuxRs commonly possess a cytoplasmic N-terminal domain that binds to a signalling molecule28, these TM LuxRs have a unique N-terminal 10–12-TM domain. While the molecular mechanisms underlying their functions are unclear, we speculate that  the N-terminal TM domain or its extracellular loops may interact with substrates and somehow relay the signal to its cytoplasmic DBD, resulting in expression of its associated regulon (Fig. 6d). The striking diversification of the regulator family within Coriobacteriia along with the tight expression control and high inducibility of their regulated promoters suggests this group of bacteria has evolved transcriptional machinery specialized for recognition of individual substrates. Further biochemical, bioinformatic and structural studies of 10–12-TM LuxRs are needed to elucidate the detailed mechanisms underlying the function of these regulators, the signalling molecules they recognize, and their evolutionary origins. We also anticipate using similar genetic approaches to characterize DadS, another putative transcriptional regulator encoded next to dadR. Though we currently cannot rule out a role for this protein in regulation of dadh, its genomic context suggests DadS may be involved in regulating a distinct set of downstream genes, including a TorD family molecular chaperone and various ferredoxins that could be important for dopamine metabolism35, in response to dopamine (Supplementary Fig. 3b). Moreover, the lack of corresponding LysR homologs in any other LuxR-containing E. lenta gene clusters (Supplementary Fig. 7) indicates these proteins are likely not involved in regulating most metabolic activities of E. lenta.

Catechol is a structural motif found in numerous compounds in the human gut, including dietary phytochemicals and neurotransmitters. Identifying three members of this emerging family of 10–12-TM LuxRs and their roles in regulating catechol metabolism highlights the interplay between bacterial regulatory networks, metabolic activities, and catechols in the human gut. Among the catechols present in this environment, the neurotransmitters dopamine and norepinephrine are important host- and gut microbiota-derived molecules that contribute to bidirectional host-microbial signalling36. It remains unaddressed why E. lenta has evolved specific systems to respond to and metabolize host neurotransmitters, and whether neurotransmitter metabolism regulates E. lenta behaviours such as colonization in the gut, and/or impacts host health. Future studies could combine genetic manipulation with animal colonization experiments to assess the physiological relevance of the neurotransmitter metabolism in E. lenta, and potentially target and rewire the E. lenta dopamine metabolism pathway to impact host health.

The ability to manipulate genes in individual members of the gut microbiota is essential to provide insights into their effects on the host. By performing targeted deletion of the cgr genes in E. lenta DSM 2243 and examining its effect on germ-free mice, we specifically connect this operon to activation of host Th17 cells. Our success in applying this genetic toolkit to in vivo experiments sets the stage for future dissection of metabolic functions and host-microbe interactions involving this prevalent human gut microbe. In particular, the genome engineering and inducible expression platforms we have developed allow for targeted manipulation of individual E. lenta gene activities. In the future, we envision these tools will be applied to other gut Coriobacteriia to identify bacterial functions that contribute to host pathophysiology. Ultimately, understanding how E. lenta and other gut Coriobacteriia modulate host immunity and diseases may reveal future opportunities for bacterial engineering to improve host health.

Methods

Ethical statement

This research complies with all relevant ethical regulations. Mouse experiments were approved by the University of California, San Francisco Institutional Animal Care and Use Committee.

Bacterial culture

Routine culturing of E. lenta and Gordonibacter was done under anaerobic conditions (Coy Lab Products) with an atmosphere of 2 to 4% H2, 2 to 4% CO2, and N2 as the balance. E. lenta cultures were grown in BHI+ medium (BHI with 1% w/v arginine) or BHIrf medium (BHI with 1% w/v arginine and 10 mM sodium formate) at 37 °C. For E. lenta DSM 2243 transformed with kanamycin-resistance plasmids, cultures were grown in BHI+ or BHIrf supplemented with 100 μg/mL of kanamycin. For E. lenta DSM 2243 transformed with a tetracycline-resistance plasmid, cultures were grown in BHI+ or BHIrf supplemented with 20 μg/mL of tetracycline.

Plasmids and DNA oligonucleotides

Cloning work was performed using Gibson Assembly (NEB, catalogue number E2611S) or NEBuilder HiFi DNA Assembly (NEB, catalogue number E2621S). The oligonucleotide sequences used for this work are listed in Supplementary Data 5, and the sequences for the genetic parts involved in this study are listed in Supplementary Data 6.

To construct the entry Eggerthella-E. coli shuttle plasmids pXD69m1 and pXD69m2, genomic DNA (gDNA) of E. lenta DSM 11863, A2, and DSM 11767 was prepared from an anaerobic 48 h liquid BHI+ culture using the DNeasy UltraClean Microbial kit (QIAGEN catalogue number 12224-50). The backbone of the shuttle plasmids was amplified from E. lenta DSM 11863 gDNA. The E. lenta tetracycline resistance gene tetW and its promoter were amplified from A2 gDNA. The E. lenta kanamycin resistance gene aphA and its promoter were amplified from DSM 11767 gDNA. The backbone and E. lenta antibiotic gene were ligated with E. coli bla and replicon amplified from plasmid pCT5-bac2.023. pCT5-bac2.0 was a gift from Claudia Schmidt-Dannert (Addgene plasmid #119872; http://n2t.net/addgene:119872; RRID:Addgene_119872). To construct plasmid pXD68Kan2, the RSF1010-containing backbone was amplified from plasmid pAM540920, and was ligated with E. lenta aphA gene. pAM5409 was a gift from Susan Golden (Addgene plasmid #132662; http://n2t.net/addgene:132662; RRID:Addgene_132662).

To further engineer the shuttle plasmids, a gene fragment containing two sets of tandem terminators was synthesized (Twist Bioscience) and inserted into EcoRI-digested pXD69m2 to make pXD70entry. In all of the pXD69m2-derived plasmids, functional cassettes were cloned in between the two sets of terminators in pXD70entry to prevent possible interference between the expression cassettes and other genes on the plasmid. To construct lacZ reporter plasmids, lacZ gene was amplified from E. coli MG1655 gDNA, and cloned into pXD70entry for promoterless pXD70LacZ1, or with respective promoters Pcsd and PdegV to make pXD70LacZ3 and pXD70LacZ4, respectively. E. lenta endogenous regulatory elements Pdadh, dadR/S-Pdadh, cadR-Pcadh, Pcadh and Phcdh were amplified from E. lenta A2 gDNA and cloned upstream of the lacZ gene to make pXD70LacZ2, pXD70LacZ7, pXD70LacZ8, pXD70LacZ8.1 and pXD70LacZ9, respectively. PhcdR-hcdR was amplified from E. lenta A2 gDNA and ligated to pXD70LacZ9 to construct pXD70LacZ9.1.

For the cumate-inducible lacZ reporter plasmids, the regulatory region containing the cymR gene and promoters was amplified from pCT5-bac2.023 and cloned upstream of lacZ gene to make pXD70CT5. Further, a gene fragment that harbours PdegV-controlled cymR, Pcsd inserted with a cumate operator sequence, and a terminator in between, was synthesized and cloned upstream of lacZ gene to make pXD70CT3. To construct pXD70CT5.1, another cumate operator sequence was further introduced into pXD70CT5. PCR amplification using primer pairs oXD294/oXD440 and oXD361/oXD442 were performed with pXD70CT5 plasmid and cloned into pXD70entry by Gibson Assembly to make pXD70CT5.1.

To construct the Dadh-expressing plasmid pXD70DA7, the coding sequences of DadR/DadS, DadhABC and the flanked promoter region were amplified from E. lenta A2 and cloned into the pXD70entry backbone. In addition, the coding sequence of A2 DadhABC was cloned to replace the lacZ gene in pXD70CT5 to construct cumate-inducible Dadh plasmid pXD70DA9. Primer pairs oXD401/oXD989 and oXD990/oXD351 were used to amplify Dadh(A2, R506S) from pXD70DA7, and the DNA fragments were cloned into the pXD70entry backbone to construct pXD70DAmt1.

For the crRNA cloning, a primer set (oXD384/oXD292) was first used to amplify the pXD70CT5 backbone without the ribosome binding site and lacZ gene. The primers containing a repeat-pseudospacer-repeat organization were annealed and cloned into the pXD70CT5 backbone using Gibson Assembly to make pseudo-crRNA plasmid pXD71Cas5. A dadR-targeting crRNA plasmid pXD71Cas3 was constructed similarly to contain a repeat-dadR spacer-repeat. To reduce the residual leakiness of crRNA expression, another cumate operator sequence was further introduced into both plasmids. PCR amplification using primer pairs oXD291/oXD440 and oXD361/oXD442 were performed with both pXD71Cas5 and pXD71Cas3 plasmids, and ligated by Gibson Assembly to make pXD71Cas10.0 and pXD71Cas10.1, respectively, which contain two tandem cumate operator sequences. For genome editing, the repair template was inserted in place of the E. coli ampicillin-resistance gene bla into pXD71Cas10.1, as we observed that the E. lenta aphA gene is also sufficient for selecting transformants of E. coli. The pXD71Cas10.1 backbone was amplified with primers oXD529 and oXD530 to remove the bla gene. Homologous arms 1-kb upstream and 1-kb downstream of dadR coding sequences were amplified from E. lenta DSM 2243 gDNA and ligated into the pXD71Cas10.1 backbone to make plasmid pXD71Cas10.1RT.

The cloning of other crRNA plasmids was performed by Golden Gate Assembly using type IIS restriction enzyme PaqCI (NEB, catalogue number R0745) and T4 DNA Ligase (NEB, catalogue number M0202). The vector pXD71Cas10.0 possesses two PaqCI restriction sites in the pseudospacer region and could be digested by PaqCI to enable the cloning of annealed oligonucleotides. The primers carrying the spacers of interest and 4-bp overhangs, were annealed and phosphorylated in a single 50 µL reaction with 5 µL 10x T4 Ligation Buffer (NEB, catalogue number B0202S) and 1 µL T4 Polynucleotide kinase (NEB, catalogue number M0201S) by incubating at 37 °C for 2 h, 95 °C for 5 min, and ramping down to 20 °C at 2 °C/min. The mixtures were diluted 1:20 in water and 1 µL was used to ligate to 75 ng of pXD71Cas10.0 vector, adding 2 µL 10x T4 Ligation Buffer, 0.5 µL PaqCI (R0745; 10 unit/μL), 0.25 µL PaqCI Activator (20 μM), 0.5 μL T4 DNA Ligase (M0202, 400 unit/μL) and water to a total volume of 20 µL. The ligation was carried out at 37 °C for 1 h and was stopped by incubating at 65 °C for 5 min. 2 µL of the ligation were used to transform into TOP10 competent E. coli.

The DadR-encoding plasmids were derived from tetracycline-resistance vector pXD69m1. To introduce tandem terminators into pXD69m1, a lacZ-expressing tetracycline-resistance plasmid pXD70Tet(LacZ3) was first constructed. The Pcsd-lacZ cassette and the flanking tandem terminators were amplified from pXD70LacZ3 using primers oXD271 and oXD348, and ligated to pXD69m1 backbone amplified using primers oXD536 and oXD329 to make pXD70Tet(LacZ3). The backbone of pXD70Tet(LacZ3) was amplified using primers oXD291 and oXD292, and subsequently ligated with PdadR-DadR, or DadR mutants amplified from E. lenta A2 gDNA, Pdadh-Dadh(A2) and DadR-Pdadh-Dadh(A2) amplified from pXD70DA7, and PhcdR-HcdR, PcadR-CadR amplified from E. lenta DSM 2243 gDNA to construct pXD70Tet(DadR), pXD70Tet(DadR(ΔDBD)), pXD70Tet(DadR(ΔTM)), pXD70Tet(DadR(linker)), pXD70Tet(FLAG-DadR), pXD70Tet(FLAG-DadR(ΔDBD)), pXD70Tet(FLAG-DadR(ΔTM)), pXD70Tet(FLAG-DadR(linker)), pXD70Tet(DadH), pXD70Tet(DadHR), pXD70Tet(HcdR) and pXD70Tet(CadR), respectively.

Bacterial transformations

Transformation of various E. lenta strains and Gordonibacter species was carried out using electroporation. For preparation of E. lenta or Gordonibacter electrocompetent cells, 1 mL of 48 h saturated cultures was inoculated into 100 mL of BHI+ medium and grown at 37 °C to OD600 0.2–0.4. Cultures were chilled on ice for 20 min, centrifuged, washed three times with 10 mL of ice-cold water, and washed once with 5 mL of 10% ice-cold aqueous glycerol solution (or other electroporation buffer as indicated elsewhere). The cell pellets were suspended in 2–4 mL of 10% aqueous glycerol solution (or other electroporation buffer as indicated elsewhere).

For bacterial transformation, 100 µL aliquots of E. lenta or Gordonibacter electrocompetent cells were electroporated using a MicroPulser Electroporator (BioRad) with 100–2000 ng of plasmid at 2.5 kV voltage, using 0.1-mm gap width electroporation cuvettes (VWR). 1 mL of BHIrf medium was immediately added to the electroporated cells and transferred to 1.7 mL Eppendorf tubes. These tubes were brought to anaerobic chamber (Coy) and incubated at 37 °C anaerobically for 3 h. Part or all of the transformations were plated onto BHI+ or BHIrf agar with the appropriate antibiotic (100 μg/mL kanamycin or 20 μg/mL tetracycline, or both) and grown anaerobically for 3–4 days at 37 °C. For transformation of E. lenta AB8n2, BHIrf agar with 150 μg/mL kanamycin was used.

Plasmid maintenance assay

E. lenta DSM 2243 cultures harbouring different plasmids were grown to saturation in BHIrf media supplemented with either 100 μg/mL of kanamycin or 20 μg/mL of tetracycline. For E. lenta cultures harbouring pXD69m1, pXD69m2 or pXD68Kan2, the saturated cultures were first inoculated 1:500 into BHIrf medium and the resulting diluted cultures were further diluted 1:500 into BHIrf medium. For the E. lenta Δcgr strain, the saturated cultures were first inoculated 1:500 into BHIrf medium, the resulting diluted cultures were further diluted 1:500 into BHIrf medium, and then a final 1:1000 dilution into BHIrf medium was performed. The diluted cultures were grown in the absence of antibiotics anaerobically for 2 days. The saturated cultures were then serially 10-fold diluted onto BHIrf agar plates with or without selective antibiotics and grown for 2–3 days, and CFU counts were performed. Each culture was passaged five times using the procedure described above to quantify plasmid maintenance. Results are presented as the ratio of CFUs from the BHIrf agar with antibiotic (selective) over CFUs from the BHIrf agar without antibiotic (permissive).

lacZ reporter assay

The β-galactosidase assay was adapted from a previously described protocol37. For measurement of β-galactosidase activity in E. lenta DSM 2243 WT and pXD70LacZ1–LacZ4, saturated cultures were inoculated 1:100 in fresh BHI+ medium (with kanamycin for pXD70LacZ1–LacZ4 constructs) in Hungate tubes and grown to an OD600 of 0.2–0.5. 1 mL of each culture was harvested by centrifugation and resuspended in 1 mL of lysis buffer [2 mg/mL lysozyme dissolved in a mixture of 50 µL BugBuster 10X (Novagen, catalogue number 70921-5) and 950 µL Z-buffer (60 mM Na2HPO4 • 7H2O, 40 mM NaH2PO4 • H2O, 10 mM KCl, 1 mM MgSO4, 50 mM β-mercaptoethanol), pH 7.0]. The cell suspensions were lysed by incubating at 37 °C for 30 min. After the incubation, 200 µL of 4 mg/mL o-nitrophenyl-β-D-galactoside (ONPG) solution in Z-buffer was added and the reaction mixture was incubated at 30 °C with constant agitation. The reaction was stopped by applying 500 μL of 1 M Na2CO3. The lysozyme precipitates at basic pH, so after centrifugation (15000 × g, 5 min, 4 °C) to remove cell debris, the absorbance at 420 nm and at 550 nm was immediately measured using a Beckman Coulter DU730 UV–Vis Spectrophotometer. The time until absorbance measurement was recorded. A blank containing all of the components mentioned above, excluding cells, was used. The β-galactosidase activity of these E. lenta cultures was normalized to the cell density and was presented as Miller Units.

The β-galactosidase activity assay for all other lacZ reporters was performed in 96-well plates (Corning) using Beta-Glo® Assay System (Promega, E4740). For cumate-inducible lacZ constructs, saturated cultures harbouring either pXD70CT3 or pXD70CT5 were inoculated 1:20 in fresh BHIrf medium with 100 μg/mL kanamycin in 96-well plates. Cumate was first dissolved in dimethylformamide (DMF) to make a 500 mM stock solution, and then 50 μL of the 500 mM stock solutions was further diluted 1:40 into 1950 μL of BHIrf to make a 12.5 mM stock solution. Further dilution of the 12.5 mM stock solution in BHIrf yielded 25x stock solutions for lower concentrations. 8 μL of 25× cumate stock solutions of different concentrations or 8 μL of BHIrf were added to 192 μL of the diluted cultures in triplicate, and the cultures were incubated anaerobically at 37 °C for 20–24 h. BHIrf medium was used as blank. The OD600 of the overnight cultures was measured using a Synergy HTX Multi-Mode Microplate Reader (BioTek). Then 20 μL of culture was incubated with 20 μL of Beta-Glo reagent with constant agitation at 30 °C for 45 min. After the incubation, the luminescence intensity of the reaction mixture was measured using Microplate Reader (BioTek) (gain, 135; integration time, 1 s). Blank OD600 and luminescence intensity were subtracted from the sample readout. To quantify the specific β-galactosidase activity of each sample, luminescence intensity was normalized to the culture endpoint OD600.

For IPTG-inducible pXD70LacZ6 reporter strain, saturated cultures were inoculated 1:20 in fresh BHIrf medium with 100 μg/mL kanamycin in 96-well plates. A 500 mM IPTG stock solution was diluted 1:20 in BHIrf to make a 25 mM stock solution, and further dilution of the 25 mM stock solutions in BHIrf yielded 25× stock solutions for lower IPTG concentrations. 8 μL of 25x IPTG stock solutions, or 8 μL of BHIrf were added to 192 μL of the diluted cultures in triplicate, and the cultures were incubated anaerobically at 37 °C for 20–24 h. The following treatments were the same as described for cumate-inducible lacZ reporters.

For catechol-inducible lacZ reporter strains, saturated cultures were inoculated 1:20 in fresh BHIrf medium with 100 μg/mL kanamycin in 96-well plates. Dopamine and norepinephrine were dissolved in BHIrf to make a 100 mM stock solution. Hydrocaffeic acid was dissolved in H2O to make a 100 mM stock solution. (+)-catechin was first dissolved in DMF to make a 500 mM stock solution and then further diluted 1:10 in H2O to make a 50 mM (+)-catechin stock solution. Further dilution of the 100 mM or 50 mM catechol stock solutions in BHIrf yielded 50x stock (pXD70LacZ2, pXD70LacZ7, pXD70LacZ8 and pXD70LacZ8.1 assays) or 12.5× stock solutions (pXD70LacZ9 and pXD70LacZ9.1 assays) for lower catechol concentrations. 4 μL of 50× or 16 μL of 12.5x catechol stock solutions, or the same volume of vehicle were added to 196 μL or 184 μL of the diluted cultures in triplicate, and the cultures were incubated anaerobically at 37 °C for 20–24 h. The following treatments were the same as described for cumate-inducible lacZ reporters.

Expression and activity of E. lenta A2 dopamine dehydroxylases in E. lenta DSM 2243

E. lenta DSM 2243 cultures harbouring pXD70DA7, pXD70DAmt1 or pXD70DA9 were grown to saturation in BHIrf media with kanamycin. The saturated cultures were then inoculated 1:50 into 200 μL of BHIrf with 100 μg/mL kanamycin in quadruplicate in 96-well plates. 1 mM dopamine was then added to the pXD70DA7 and pXD70DAmt1 cultures. 1 mM dopamine with or without 50 μM cumate was added to the pXD70DA9 cultures. Plates were incubated at 37 °C anaerobically for 48 h. Next, the endpoint OD600 of each culture was measured using a Synergy HTX Multi-Mode Microplate Reader (BioTek). The plates were then centrifuged (3220 × g, 10 min, 4 °C), and the supernatants were harvested. For each sample, 20 µL of the supernatant was diluted 1:10 with 180 µL of LC-MS grade (Honeywell) methanol, and 40 µL of the resulting mixture was then diluted 1:5 with 160 µL of Milli-Q water. The amount of dopamine and m-tyramine production in the diluted mixtures were quantified measured using ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS).

UPLC-MS/MS was conducted using a Waters Acquity UPLC H-Class System (Waters Corporation), and Waters Xevo TQ-S (Waters Corporation) instrument. 2 µL of each sample was injected onto a CORTECS T3 Column (120 Å, 2.7 µm, 2.1 mm × 100 mm, Waters Corporation). The flow rate was 0.5 mL/min using solvent A = 0.1% formic acid in H2O and solvent B = 0.1% formic acid in acetonitrile (Honeywell). The column temperature was maintained at 40 °C. The following gradient was applied: 0–1 min at 100% A isocratic, 1.0–2.0 min at 0–90% B, 2.0–2.5 min at 90% B isocratic, 2.5–2.75 min at 90–0% B, 2.75–3.50 min at 0% B isocratic. MS detection was performed using electron spray ionization in positive mode (ESI+) (capillary voltage, 3.20 kV; cone voltage, 29 V; source offset voltage, 50 V; desolvation temperature, 200 °C; desolvation gas flow, 800 L/h; cone gas flow, 150 L/h; nebulizer, 7.0 bar). The masses of dopamine (precursor ion m/z = 154.1119, daughter ion m/z = 137.0550; cone voltage 30 V; collision energy 8 V), and m-tyramine (precursor ion m/z = 138.1119, daughter ion m/z = 121.1114; cone voltage 8 V; collision energy 10 V) were monitored. Concentrations of dopamine and m-tyramine were quantified using calibration curves.

Measuring the impacts of DadR on dopamine metabolism of E. lenta DSM 2243 expressing Dadh(A2)

Plasmid pXD70Tet(DadH) encoding the active Dadh variant Dadh(A2) under native promoter Pdadh, and plasmid pXD70Tet(DadHR) encoding Dadh(A2) under native promoter Pdadh and DadR were transformed into the ΔdadR mutant and DSM 2243 WT by electroporation. The E. lenta strains were inoculated and grown to saturation in BHIrf media with 20 μg/mL tetracycline. The saturated cultures were then inoculated 1:20 into 200 μL of BHIrf with 20 μg/mL tetracycline in quadruplicate in 96-well plates. 1 mM dopamine was then added to each culture. Plates were incubated at 37 °C anaerobically for 72 h. Next, the endpoint OD600 of each culture was measured using a Synergy HTX Multi-Mode Microplate Reader (BioTek). The plates were then centrifuged (3220 × g, 10 min, 4 °C), and the supernatants were harvested. For each sample, 20 µL of the supernatant was diluted 1:10 with 180 µL of LC-MS grade (Honeywell) methanol, and 40 µL of the resulting mixture was then diluted 1:5 with 160 µL of Milli-Q water. The amount of dopamine and m-tyramine production in the diluted mixtures were quantified measured using UPLC-MS/MS as described above.

Assays for measuring (+)-catechin and hydrocaffeic acid metabolism of E. lenta DSM 2243 WT and engineered strains

E. lenta DSM 2243 WT strain and mutant strains were grown to saturation in BHIrf media, and the complementation strains were grown to saturation in BHIrf with 20 μg/mL tetracycline. The saturated WT and mutant cultures were then inoculated 1:50 into 200 μL of BHIrf in triplicate or quadruplicate in 96-well plates. The saturated complementation strain cultures were inoculated 1:20 into 200 μL of BHIrf supplemented with 20 μg/mL tetracycline in triplicate or quadruplicate in 96-well plates. 2 mM hydrocaffeic acid or 1 mM (+)-catechin was then added to the cultures. Plates were incubated at 37 °C anaerobically for 48 h. Next, the endpoint OD600 of each culture was measured using a Synergy HTX Multi-Mode Microplate Reader (BioTek). The plates were then centrifuged (3220 × g, 10 min, 4 °C), and the supernatants were harvested. To detect hydrocaffeic acid and dehydroxylation product 3-(3-hydroxyphenyl)propanoic acid (m-HPPA), 20 µL of the supernatant was diluted 1:10 with 180 µL of LC-MS grade (Honeywell) methanol, and 20 µL of the resulting mixture was then diluted 1:10 with 180 µL of Milli-Q water. To detect (+)-catechin metabolism derivatives, 20 µL of the supernatant was diluted 1:10 with 180 µL of LC-MS grade (Honeywell) methanol, and 100 µL of the resulting mixture was then diluted 1:1 with 100 µL of Milli-Q water. The amount of catechols and products in the diluted mixtures were quantified using UPLC-MS/MS.

UPLC-MS/MS was conducted using a Waters Acquity UPLC H-Class System (Waters Corporation), and Waters Xevo TQ-S (Waters Corporation) instrument. 1 µL of each sample was injected onto a CORTECS T3 Column (120 Å, 2.7 µm, 2.1 mm × 100 mm, Waters Corporation). The same chromatographic conditions used for dopamine metabolite detection were used for both hydrocaffeic acid and (+)-catechin metabolite detection.

MS detection of hydrocaffeic acid and m-HPPA was performed using electron spray ionization in negative mode (ESI−) (capillary voltage, 3.20 kV; cone voltage, 29 V; source offset voltage, 50 V; desolvation temperature, 200 °C; desolvation gas flow, 800 L/h; cone gas flow, 150 L/h; nebulizer, 7.0 bar). The masses of hydrocaffeic acid (precursor ion m/z = 181.0898, daughter ion m/z = 137.1128; cone voltage 2 V; collision energy 12 V), and m-HPPA (precursor ion m/z = 165.0919, daughter ion m/z = 106.0780; cone voltage 36 V; collision energy 20 V) were monitored. Concentrations of hydrocaffeic acid and m-HPPA were quantified using calibration curves.

MS detection of (+)-catechin and its metabolites was performed using electron spray ionization in negative mode (ESI–) (capillary voltage, 3.20 kV; cone voltage, 29 V; source offset voltage, 50 V; desolvation temperature, 200 °C; desolvation gas flow, 800 L/h; cone gas flow, 150 L/h; nebulizer, 7.0 bar). The masses of (+)-catechin (precursor ion m/z = 289.2, daughter ion m/z = 109.1; cone voltage 30 V; collision energy 20 V), benzyl ether reduced catechin (precursor ion m/z = 291.2, daughter ion m/z = 123.1; cone voltage 30 V; collision energy 20 V), benzyl ether reduced, dehydroxylated catechin (precursor ion m/z = 275.2, daughter ion m/z = 107.1; cone voltage 30 V; collision energy 20 V) were monitored.

Genomic engineering

Genomic self-targeting of E. lenta DSM 2243 was achieved by electroporating competent cells with 200 ng of pXD71Cas10.1 expressing the dadR-targeting spacer, or pXD71Cas10.0 which contains a nontargeting pseudospacer as control. Cells were plated onto BHI+ agar plates containing 100 μg/mL kanamycin and grown for 3–4 days. Single colonies were then grown in liquid BHI+ medium containing 100 μg/mL kanamycin to saturation. Each saturated culture was then serially 10-fold diluted onto BHI+ agar plates containing 100 μg/mL kanamycin with or without 50 μM inducer cumate and grown for 3–4 days. The surviving colonies of pXD71Cas10.1 on cumate-containing plates were then analyzed individually using colony PCR.

For genome editing to generate a targeted deletion in E. lenta DSM 2243, a homology-directed repair (HDR) template was cloned into the self-targeting crRNA plasmid. A DNA repair template with about 1000 bp of the upstream and downstream regions flanking the deletion region was designed to introduce the desired deletion. 500–2000 ng of plasmid was used for electroporation, and the transformants were selected on BHI+ or BHIrf agar with 100 μg/mL kanamycin. The transformants obtained were PCR-screened to confirm the presence of desired mutations. Single clones that contain desired mutations were inoculated into BHI+ or BHIrf medium with 100 μg/mL kanamycin and 50 μM cumate, and the 2-day cultures were diluted and spread onto BHI+ or BHIrf agar plates containing 100 μg/mL kanamycin and 50 μM inducer cumate. The clones selected by crRNA-induced condition were then PCR-screened and sequenced to confirm the absence of WT sequence and the presence of designed mutations.

Culturing E. lenta with catechols, RNA extraction, and RT-qPCR experiments

Saturated cultures of E. lenta DSM 2243 WT, mutant strains, and complementation strains were inoculated into 30 mL of BHIrf medium and grown to OD600 of 0.3–0.6. Antibiotic (20 μg/mL tetracycline) was added for the complementation strains. Then each strain was divided into 6 tubes of 5 mL cultures. For E. lenta DSM 2243 WT, ΔdadR mutant, and ΔdadR complementation strains, cultures were exposed to either 50 μL of dopamine (100 mM in BHIrf) or 50 μL of vehicle (BHIrf) in triplicate. For E. lenta DSM 2243 WT and ΔhcdR mutant, cultures were exposed to either 100 μL of hydrocaffeic acid (100 mM in H2O) or 100 μL of vehicle (H2O). For E. lenta DSM 2243 WT and ΔcadR mutant, cultures were exposed to either 100 μL of (+)-catechin (50 mM in 10% [v/v] DMF/BHIrf) or 100 μL of vehicle (10% [v/v] DMF/BHIrf). Then cultures were incubated anaerobically at 37 °C for 2–3 h. Cell pellets were then harvested by centrifugation (3220 g, 10 min, 4 °C), resuspended in 800 µL of TRIzol reagent (Invitrogen, catalogue number 15596-026), and used for RNA extraction immediately or stored in a freezer at −80 °C until RNA extraction.

Total RNA was isolated first by bead beating the TRIzol cell suspensions for 2.5 min twice to lyse cells using Mini-Beadbeater-16 (BioSpec) and ZR BashingBead Lysis Tubes (0.1 and 0.5 mm) (Zymo Research, catalogue number S6012-50), and then using the Zymo Research Direct-Zol RNA MiniPrep Plus kit (catalogue number R2070) according to the manufacturer’s protocol. Briefly, an equal volume of ethanol was mixed with lysates and the mixture was transferred to the provided spin column and centrifuged to remove flow-through. The column was transferred to a new collection tube. To the column, 80 µL of DNase mix (5 µL of DNase I (6 U/µL) and 75 µL of DNA Digestion Buffer) was added, and the column was incubated at room temperature for 15 min. Next, 400 µL of RNA PreWash was applied to the column twice, followed by 700 µL of RNA Wash Buffer. The column was carefully transferred to an RNase-free tube. Then, 50 µL of RNase-free water was added, and the column was incubated at room temperature for 1 min and centrifuged to collect total RNA. Then a second solution-phase DNase treatment was performed using Promega RQ1 RNase-Free DNase (catalogue number M6101), adding 2 µL of RQ1 RNase-Free DNase 10X Reaction Buffer, 1 µL of DNase, and 15 µL of RNase-free water to a 2 µL aliquot of total RNA. This mixture was incubated at 37 °C for 30 min, after which 2 µL of RQ1 DNase Stop Solution was added. The resulting mixture was incubated at 65 °C for 10 min to terminate the reaction and inactive the DNase. All, or a portion of, the treated RNA was used for the subsequent RT-qPCR.

From total RNA, complementary DNA synthesis and PCR amplification were performed using the Luna Universal One-Step RT-qPCR Kit according to the manufacturer’s protocol (NEB, catalogue number E3005S). Assays were performed using a Thermocycler C1000 CFX96 Real-Time System (Bio-Rad). The primers used for amplification are listed in the Supplementary Data 5. Fold changes in dadh, hcdh and cadh transcript levels were calculated using the ΔΔCT method.

Western blotting

Saturated cultures of E. lenta ΔdadR strains harbouring various N-terminal FLAG-tagged DadR or DadR mutant constructs were inoculated 1:20 in fresh BHIrf medium with 20 μg/mL tetracycline and were either incubated with vehicle (BHIrf) or 1 mM dopamine at 37 °C for 40 h. Cell pellets were then harvested by centrifugation (3220 × g, 10 min, 4 °C), and heated in Laemmli Sample Buffer with 2-mercaptoethanol at 98 °C for 10 min. Standard Western blotting analysis was performed using 10–20% SDS-PAGE gels with primary Anti-FLAG antibody (1:1000, Sigma, F1804-50UG) incubation at 4 °C overnight. Secondary antibody incubations were done at room temperature for 1 h using anti-Mouse IgG–Peroxidase antibody (1:4000, Sigma, A4416-.5 ML) and then imaged using an Azure Imaging Systems (Azure Biosystems).

Whole Genome Sequencing

High molecular weight DNA was extracted from 2 mL 72 h cultures of Δcgr E. lenta grown in BHI+ using the MagAttract HMW DNA Kit (Qiagen) following the manufacturer’s instructions with the following modifications. Bacterial pellets were resuspended in 450 µL of Buffer P1, transferred to a Lysing Matrix E 2 mL tube (MP), and lysed using a BioSpec Mini-Beadbeater-96 for 30 s. 200 µL of the supernatant was transferred to a clean tube. 40 µL of 100 mg/mL lysozyme was added, and the mixture was incubated at 37 °C with shaking at 900 rpm for 2 h. After all other steps were carried out per the protocol, HMW DNA was eluted in 100 µL of nuclease-free water.

Genomic library preparation was performed using the ONT Native Barcoding Kit (SQK-NBD112.24). Sequencing was performed using the MinION sequencer with R10.4 flow cell. Data processing and demultiplexing were performed by MinKNOW core v5.0.0, using Guppy v6.0.7 for base calling in “fast” mode.

A total of 407,573,563 sequenced bases were obtained, with a read N50 of 6082 and a median quality score of 10.6. Reads shorter than 500 bp were removed using filtlong v0.2.1 (https://github.com/rrwick/Filtlong). The genome was then assembled using Flye v2.938, producing a single circular contig. The assembly was polished using Medaka v1.6.0 (https://github.com/nanoporetech/medaka), and set to a consistent start coordinate using Circlator v1.5.539. The average read coverage of the final genome was 107x. Genome quality was assessed using CheckM v1.1.240. The final genome was compared with the Eggerthella lenta DSM 2243 reference genome obtained from NCBI RefSeq (accession GCF_000024265.1) by whole-genome alignment using mummer2circos v1.2 (https://github.com/metagenlab/mummer2circos). Nanopore reads were also aligned to the Eggerthella lenta DSM 2243 reference genome using minimap2 v2.2441. The resulting alignments were visualized using Rsamtools v2.8.042 and ggplot2 v3.3.643 in R v4.1.1. Variant calling versus the reference genome was performed using medaka_haploid_variant in Medaka v1.6.

Gnotobiotic mouse studies

C57BL/6J mice (males ages 6–8 weeks) were obtained from the University of California, San Francisco (UCSF) Gnotobiotics core facility (gnotobiotics.ucsf.edu) and housed in Iso positive cages (Tecniplast). Mice were colonized via oral gavage with mono-cultures of E. lenta (108–109 CFUs/ml, 200 μL gavage) and colonization was confirmed via anaerobic culturing. Mice were colonized for 2 weeks with both WT control and Δcgr strains. CFU counts were performed by making serial dilutions of fecal pellets from Day 0 and Day 14 and plating on BHI+ agar plates to grow at 37 °C in an anaerobic chamber. Three mice colonized with WT E. lenta were found to be contaminated with Paenibacillus and were removed from all analyses. All mouse experiments were approved by the University of California, San Francisco Institutional Animal Care and Use Committee. The mice were housed at temperatures ranging from 67 to 74 °F and humidity ranging from 30 to 70% light/dark cycle 12 h/12 h. Labdiet 5021 was used. No mice were involved in previous procedures before experiments were performed. Mice were assigned to groups to achieve similar age distribution between groups.

Th17 skewing assay

Red blood cell (RBC) lysed mouse splenocytes from male or female C57BL/6J mice were filtered through a 40 μm filter and used for T cell isolation. T cells were isolated via Dynabeads untouched mouse CD4 isolation kit (ThermoFisher) according to kit specifications. In a 96 well plate pre-coated with anti-CD3e (Clone: 145-2C11, Catalogue: 553057, Fisher Scientific, overnight at 37 °C at 5 μg/ml), equal cell numbers were plated and were treated with bacterial CFS or media controls with a concentration of 5% volume/volume. At the same time, Th17 skewing conditions were supplied (anti-CD28 (Clone: 37.51, Catalogue: 557393, Fisher Scientific, 10 μg/ml), anti-IFNγ (Clone: XMG1.2, Catalogue: 554409, Fisher Scientific, 2 ng/ml), anti-IL-4 (Clone: 11B11, Catalogue: 5013602, Fisher Scientific, 2 ng/ml) TGFβ (Catalogue: 7666-MB-005, Fisher Scientific, 0.3 ng/ml), IL-6 (Catalogue: 575704-BL, VWR, 20 ng/ml))44. Bacterial CFS was harvested from 72 h stationary cultures where bacterial cells were pelleted (2500 rpm 10 min) and the supernatant was filtered through a 0.2 μm filter to exclude cells from the CFS preparation. 2 mL aliquots of CFS were taken and adjusted to 1.5× concentration using a Savant SpeedVac Plus SC110A for 24 h. Isolated CD4+ T cells were developed in Th17 skewing conditions with bacterial CFS present for 4 days at 37 °C and then re-stimulated overnight with a cell stimulation cocktail (Fisher Scientific) containing PMA and ionomycin according to the manufacturer’s instructions, then supernatants were harvested for IL-17a quantification via ELISA.

ELISAs

To measure the levels of secreted IL-17a from the Th17 cell culture assay, the IL-17A (homodimer) Mouse Uncoated ELISA Kit (ThermoFisher) was used according to the manufacturer’s instructions. 100 μL of cell culture media was used as input. Absorbance for ELISA was measured at 450 nm, and the blank background signal was subtracted. Raw values for IL-17a ELISAs are provided as a Source Data file.

Lamina propria lymphocyte isolation

Lamina propria lymphocytes (LPLs) were isolated with modifications of previously described methods4547. Briefly, the ileum (lower 1/3 of the small intestine) and colon were splayed longitudinally with mucus removed and stored in complete RPMI (10% fetal bovine serum, 100 units per ml penicillin and streptomycin, β-mercaptoethanol, glutamax, sodium pyruvate, hydroxyethyl piperazineethanesulfonic acid (HEPES) and non-essential amino acids) on ice. Media was removed by filtering through a 100 μm filter, and remaining tissue incubated in 1× Hank’s Balanced Salt Solution (HBSS without Ca2+ and Mg2+) containing 5 mM ethylenediaminetetraacetic acid (EDTA) and 1 mM DL-Dithiothreitol (DTT) for 45 min at 37 °C on a shaker (200 rpm). Supernatant were filtered through a 100 μm filter, and remaining tissue was incubated for 45 min (colon) or 35 min (ileum) at 37 °C on a shaker in a solution containing 1× HBSS containing 5% (v/v) fetal bovine serum (GIBCO heat inactivated), 1 U/ml Dispase (Sigma), 0.5 mg/ml Collagenase VIII (Sigma), and 20 μg/ml DNaseI (Sigma). The vortexed supernatant was filtered over a 40 μm cell strainer into 1× PBS. Cells were subjected to a Percoll (VWR) gradient (40%/80% [v/v] gradient) and spun at 2000 rpm for 20 min with no brake and no acceleration. Cells at the interface were collected, washed in 1× PBS, and prepared for flow cytometry analysis as described in the next section.

Flow cytometry

Lymphocytes were isolated from the colonic and ileum lamina propria as described above. For intracellular staining, cells were stimulated with a cell stimulation cocktail (Fisher Scientific) containing PMA and ionomycin according to the manufacturer’s instructions, and Golgi plug was added (1 μL/sample) (BD Bioscience) and incubated 4–6 hours at 37 °C. Surface staining for lymphocytes was done in staining buffer (1× HBSS (Corning) supplemented with 10 mM HEPES (Fisher Scientific), 2 mM EDTA (Invitrogen), and 0.5% (v/v) fetal bovine serum (GIBCO heat inactivated)) for 20 min at 4 °C. Cells were then washed twice in staining buffer. The following antibodies were used for extracellular staining: anti-CD3 (Clone: 17A2, Catalogue: 11-0032-82, Fisher Scientific, 0.2:100), anti-CD4 (Clone: GK1.5, Catalogue: BDB563331, Biolegend, 0.2:100), and live/dead staining was performed using LIVE/DEAD Fixable Dead Cell Stain Kit (Life Technologies, dilution 1:100). Cells were then fixed/permeabilized in 100 μL fixation and permeabilization (Perm) buffer (BD Bioscience). Cells were washed twice in Perm/Wash buffer (BD Bioscience) and then stained for intracellular cytokine with anti-IL17a (Clone: ebio17B7, Catalogue: 25-7177-82, Fisher Scientific, 5:100). Cells were washed twice in Perm/Wash buffer and then placed in staining buffer for flow cytometry analysis. Gating cell populations was done using isotype and single stain controls. Gating strategies are outlined in Supplementary Fig. 8f. The flow cytometry data were collected with a BD LSR Fortessa and analyzed with FlowJo software (version 10.7.1).

Quantification and statistical analysis

Unless otherwise specified, statistical analysis was carried out using Prism 9 (GraphPad Software). Individual datapoints have been shown where possible but are otherwise represented as the mean ± standard deviation unless otherwise stated.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Supplementary information

41467_2022_33576_MOESM2_ESM.pdf (74.4KB, pdf)

Description of Additional Supplementary Files

Supplementary Dataset 1 (15.2KB, xlsx)
Supplementary Dataset 2 (71.8KB, txt)
Supplementary Dataset 3 (163.9KB, xlsx)
Supplementary Dataset 4 (141.8KB, xlsx)
Supplementary Dataset 5 (90.3KB, xlsx)
Supplementary Dataset 6 (19.2KB, xlsx)
Reporting Summary (248.5KB, pdf)

Acknowledgements

We thank all members of the Balskus group for insightful discussion. We thank Beverly Fu and Min Woo Bae for critical reading of the manuscript. We thank the UCSF Benioff Centre for Microbiome Medicine, Microbial Genomics CoLab Plug-in for technical assistance with DNA sequencing, and the UCSF Gnotobiotics Core for assistance with mouse experiments. We acknowledge funding from the Bill and Melinda Gates Foundation (HHMI-Gates Faculty Scholar Award to E.P.B., OPP1158186), the National Science Foundation (Alan T. Waterman Award to E.P.B., CHE-20380529), and National Institutes of Health (P.J.T., R01HL122593, C.N., F32GM140808-01). E.P.B. is a Howard Hughes Medical Institute Investigator. P.J.T. is a Chan Zuckerberg Biohub Investigator. B.G.H.G. is a Connie and Bob Lurie Fellow of the Damon Runyon Cancer Research Foundation (DRG-2450-21). Elements of selected figures were created with BioRender.com. This article is subject to HHMI’s Open Access to Publications policy. HHMI lab heads have previously granted a nonexclusive CC BY 4.0 license to the public and a sublicensable license to HHMI in their research articles. Pursuant to those licenses, the author-accepted manuscript of this article can be made freely available under a CC BY 4.0 license immediately upon publication.

Source data

Source Data (4MB, zip)

Author contributions

E.P.B. and X.D. conceived of the study. X.D. performed most experiments. B.G.H.G., M.A., and L.R. performed mouse experiments. X.D., E.P.B., B.G.H.G., M.A., C.N., and P.J.T. analyzed the data. N.R.G. helped with experimental design. X.D. and E.P.B. wrote the paper with input from all authors. P.J.T. edited the paper.

Peer review

Peer review information

Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work.

Data availability

Long-read sequencing data files are available at NCBI BioProject accession PRJNA866504. The Eggerthella lenta DSM 2243 reference genome was obtained from NCBI RefSeq (accession GCF_000024265.1). All other data generated or analyzed during this study are included in this article and its supplementary files. Source data are provided with this paper. The plasmids used in this study are available on Addgene (Emily Balskus Lab Materials). Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Emily P. Balskus (balskus@chemistry.harvard.edu). Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-022-33576-3.

References

  • 1.Bisanz JE, et al. A genomic toolkit for the mechanistic dissection of intractable human gut bacteria. Cell Host Microbe. 2020;27:1001–1013 e1009. doi: 10.1016/j.chom.2020.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bo J, et al. Eggerthella lenta bloodstream infections: Two cases and review of the literature. Fut. Microbiol. 2020;15:981–985. doi: 10.2217/fmb-2019-0338. [DOI] [PubMed] [Google Scholar]
  • 3.Ugarte-Torres A, Gillrie MR, Griener TP, Church DL. Eggerthella lenta bloodstream infections are associated with increased mortality following empiric piperacillin-tazobactam (TZP) monotherapy: A population-based cohort study. Clin. Infect. Dis. 2018;67:221–228. doi: 10.1093/cid/ciy057. [DOI] [PubMed] [Google Scholar]
  • 4.Wang Q, et al. A metagenome-wide association study of gut microbiota in asthma in UK adults. BMC Microbiol. 2018;18:114. doi: 10.1186/s12866-018-1257-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wang X, et al. Aberrant gut microbiota alters host metabolome and impacts renal failure in humans and rodents. Gut. 2020;69:2131–2142. doi: 10.1136/gutjnl-2019-319766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Cekanaviciute E, et al. Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models. Proc. Natl Acad. Sci. USA. 2017;114:10713–10718. doi: 10.1073/pnas.1711235114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Chen J, et al. An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis. Genome Med. 2016;8:43. doi: 10.1186/s13073-016-0299-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Haiser HJ, et al. Predicting and manipulating cardiac drug inactivation by the human gut bacterium Eggerthella lenta. Science. 2013;341:295–298. doi: 10.1126/science.1235872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Koppel N, Bisanz JE, Pandelia ME, Turnbaugh PJ, Balskus EP. Discovery and characterization of a prevalent human gut bacterial enzyme sufficient for the inactivation of a family of plant toxins. eLife. 2018;7:e33953. doi: 10.7554/eLife.33953. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Jin J-S, Hattori M. Isolation and characterization of a human intestinal bacterium Eggerthella sp. CAT-1 capable of cleaving the C-ring of (+)-catechin and (−)-epicatechin, followed by p-dehydroxylation of the B-ring. Biol. Pharm. Bull. 2012;35:2252–2256. doi: 10.1248/bpb.b12-00726. [DOI] [PubMed] [Google Scholar]
  • 11.Bess EN, et al. Genetic basis for the cooperative bioactivation of plant lignans by Eggerthella lenta and other human gut bacteria. Nat. Microbiol. 2020;5:56–66. doi: 10.1038/s41564-019-0596-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rekdal VM, et al. A widely distributed metalloenzyme class enables gut microbial metabolism of host- and diet-derived catechols. eLife. 2020;9:e50845. doi: 10.7554/eLife.50845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Rekdal VM, Bess EN, Bisanz JE, Turnbaugh PJ, Balskus EP. Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism. Science. 2019;364:eaau6323. doi: 10.1126/science.aau6323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Harris SC, et al. Bile acid oxidation by Eggerthella lenta strains C592 and DSM 2243(T) Gut Microbes. 2018;9:523–539. doi: 10.1080/19490976.2018.1458180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Devlin AS, Fischbach MA. A biosynthetic pathway for a prominent class of microbiota-derived bile acids. Nat. Chem. Biol. 2015;11:685–690. doi: 10.1038/nchembio.1864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Alexander M, et al. Human gut bacterial metabolism drives Th17 activation and colitis. Cell Host Microbe. 2022;30:17–30 e19. doi: 10.1016/j.chom.2021.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Soto-Perez P, et al. CRISPR-Cas system of a prevalent human gut bacterium reveals hyper-targeting against phages in a human virome catalog. Cell Host Microbe. 2019;26:325–335 e325. doi: 10.1016/j.chom.2019.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Guglielmini J, Melderen Van. L. Bacterial toxin-antitoxin systems: Translation inhibitors everywhere. Mob. Genet Elem. 2011;1:283–290. doi: 10.4161/mge.18477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ronda C, Chen SP, Cabral V, Yaung SJ, Wang HH. Metagenomic engineering of the mammalian gut microbiome in situ. Nat. Methods. 2019;16:167–170. doi: 10.1038/s41592-018-0301-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bishe B, Taton A, Golden JW. Modification of RSF1010-based broad-host-range plasmids for improved conjugation and cyanobacterial bioprospecting. iScience. 2019;20:216–228. doi: 10.1016/j.isci.2019.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lim B, Zimmermann M, Barry NA, Goodman AL. Engineered regulatory systems modulate gene expression of human commensals in the gut. Cell. 2017;169:547–558 e515. doi: 10.1016/j.cell.2017.03.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Xu X, et al. Pyruvate-responsive genetic circuits for dynamic control of central metabolism. Nat. Chem. Biol. 2020;16:1261–1268. doi: 10.1038/s41589-020-0637-3. [DOI] [PubMed] [Google Scholar]
  • 23.Seo SO, Schmidt-Dannert C. Development of a synthetic cumate-inducible gene expression system for Bacillus. Appl. Microbiol. Biotechnol. 2019;103:303–313. doi: 10.1007/s00253-018-9485-4. [DOI] [PubMed] [Google Scholar]
  • 24.Walker IH, Hsieh PC, Riggs PD. Mutations in maltose-binding protein that alter affinity and solubility properties. Appl. Microbiol. Biotechnol. 2010;88:187–197. doi: 10.1007/s00253-010-2696-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hamady ZZR, et al. Identification and use of the putative Bacteroides ovatus xylanase promoter for the inducible production of recombinant human proteins. Microbiology. 2008;154:3165–3174. doi: 10.1099/mic.0.2008/019109-0. [DOI] [PubMed] [Google Scholar]
  • 26.Radeck J, et al. The Bacillus BioBrick Box: Generation and evaluation of essential genetic building blocks for standardized work with Bacillus subtilis. J. Biol. Eng. 2013;7:29. doi: 10.1186/1754-1611-7-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hartman AH, Liu H, Melville SB. Construction and characterization of a lactose-inducible promoter system for controlled gene expression in Clostridium perfringens. Appl. Environ. Microbiol. 2011;77:471–478. doi: 10.1128/AEM.01536-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Chen J, Xie J. Role and regulation of bacterial LuxR-like regulators. J. Cell. Biochem. 2011;112:2694–2702. doi: 10.1002/jcb.23219. [DOI] [PubMed] [Google Scholar]
  • 29.Hidalgo-Cantabrana C, Goh YJ, Pan M, Sanozky-Dawes R, Barrangou R. Genome editing using the endogenous type I CRISPR-Cas system in Lactobacillus crispatus. Proc. Natl Acad. Sci. USA. 2019;116:15774–15783. doi: 10.1073/pnas.1905421116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Pyne ME, Bruder MR, Moo-Young M, Chung DA, Chou CP. Harnessing heterologous and endogenous CRISPR-Cas machineries for efficient markerless genome editing in Clostridium. Sci. Rep. 2016;6:25666. doi: 10.1038/srep25666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Xu Z, et al. Native CRISPR-Cas-mediated genome editing enables dissecting and sensitizing clinical multidrug-resistant P. aeruginosa. Cell Rep. 2019;29:1707–1717 e1703. doi: 10.1016/j.celrep.2019.10.006. [DOI] [PubMed] [Google Scholar]
  • 32.Shin J, et al. Genome engineering of eubacterium limosum using expanded genetic tools and the CRISPR-Cas9 system. ACS Synth. Biol. 2019;8:2059–2068. doi: 10.1021/acssynbio.9b00150. [DOI] [PubMed] [Google Scholar]
  • 33.Chen IA, et al. IMG/M v.5.0: An integrated data management and comparative analysis system for microbial genomes and microbiomes. Nucleic Acids Res. 2019;47:D666–D677. doi: 10.1093/nar/gky901. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Zallot R, Oberg N, Gerlt JA. The EFI web resource for genomic enzymology tools: Leveraging protein, genome, and metagenome databases to discover novel enzymes and metabolic pathways. Biochemistry. 2019;58:4169–4182. doi: 10.1021/acs.biochem.9b00735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Le CC, Bae M, Kiamehr S, Balskus EP. Emerging chemical diversity and potential applications of enzymes in the DMSO reductase superfamily. Annu. Rev. Biochem. 2022;91:475–504. doi: 10.1146/annurev-biochem-032620-110804. [DOI] [PubMed] [Google Scholar]
  • 36.Cryan JF, Dinan TG. Mind-altering microorganisms: The impact of the gut microbiota on brain and behaviour. Nat. Rev. Neurosci. 2012;13:701–712. doi: 10.1038/nrn3346. [DOI] [PubMed] [Google Scholar]
  • 37.Popp PF, Dotzler M, Radeck J, Bartels J, Mascher T. The Bacillus BioBrick Box 2.0: Expanding the genetic toolbox for the standardized work with Bacillus subtilis. Sci. Rep. 2017;7:15058. doi: 10.1038/s41598-017-15107-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat. Biotechnol. 2019;37:540–546. doi: 10.1038/s41587-019-0072-8. [DOI] [PubMed] [Google Scholar]
  • 39.Hunt M, et al. Circlator: Automated circularization of genome assemblies using long sequencing reads. Genome Biol. 2015;16:294. doi: 10.1186/s13059-015-0849-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res. 2015;25:1043–1055. doi: 10.1101/gr.186072.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Li H. Minimap2: Pairwise alignment for nucleotide sequences. Bioinformatics. 2018;34:3094–3100. doi: 10.1093/bioinformatics/bty191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Morgan, M., Pagès, H., Obenchain, V. & Hayden, N. Rsamtools: Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import. R package version 2.14.0, https://bioconductor.org/packages/Rsamtools (2021).
  • 43.Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag New York, 2016).
  • 44.Huh JR, et al. Digoxin and its derivatives suppress TH17 cell differentiation by antagonizing RORγt activity. Nature. 2011;472:486–490. doi: 10.1038/nature09978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Atarashi K, et al. Induction of colonic regulatory T cells by indigenous Clostridium species. Science. 2011;331:337–341. doi: 10.1126/science.1198469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kubinak JL, et al. MyD88 signaling in T cells directs IgA-mediated control of the microbiota to promote health. Cell Host Microbe. 2015;17:153–163. doi: 10.1016/j.chom.2014.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Round JL, et al. The Toll-like receptor 2 pathway establishes colonization by a commensal of the human microbiota. Science. 2011;332:974–977. doi: 10.1126/science.1206095. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

41467_2022_33576_MOESM2_ESM.pdf (74.4KB, pdf)

Description of Additional Supplementary Files

Supplementary Dataset 1 (15.2KB, xlsx)
Supplementary Dataset 2 (71.8KB, txt)
Supplementary Dataset 3 (163.9KB, xlsx)
Supplementary Dataset 4 (141.8KB, xlsx)
Supplementary Dataset 5 (90.3KB, xlsx)
Supplementary Dataset 6 (19.2KB, xlsx)
Reporting Summary (248.5KB, pdf)

Data Availability Statement

Long-read sequencing data files are available at NCBI BioProject accession PRJNA866504. The Eggerthella lenta DSM 2243 reference genome was obtained from NCBI RefSeq (accession GCF_000024265.1). All other data generated or analyzed during this study are included in this article and its supplementary files. Source data are provided with this paper. The plasmids used in this study are available on Addgene (Emily Balskus Lab Materials). Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Emily P. Balskus (balskus@chemistry.harvard.edu). Source data are provided with this paper.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES