Skip to main content
eLife logoLink to eLife
. 2026 Sep 28;15:RP109964. doi: 10.7554/eLife.109964

Bifunctional architecture enables substrate catalysis and channeling in Paracoccus TMAO demethylase

Trung Thach 1,✉, KanagaVijayan Dhanabalan 1, Shiwangi Maurya 2, Yu Han-Hallett 3, Senwei Quan 4, Jane Allison 4, Gurunath Ramanathan 2,✉, Ramaswamy Subramanian 1,5,✉
Editors: Julien Roche6, Amy H Andreotti7
PMCID: PMC13619132  PMID: 42803367

Abstract

Substrate channeling enhances efficiency and prevents toxicity by directing unstable intermediates between active sites. Trimethylamine N-oxide demethylase (TDM) degrades trimethylamine N-oxide (TMAO) to dimethylamine and formaldehyde (HCHO), but the fate of HCHO has remained unclear. We report cryo-EM structures of TDM in apo, substrate-, and product-bound states that reveal a previously unknown channeling pathway. Combined structural, biochemical, and target molecular dynamics analyses show that HCHO is generated in a catalytic core and guided through a tunnel to a remote tetrahydrofolate (THF)-binding site, where it forms methylene-THF. Thus, TDM emerges as a bifunctional enzyme that unites TMAO demethylation with one-carbon transfer, providing a mechanistic explanation for its role in metabolic efficiency and detoxification.

Research organism: E. coli

Introduction

Substrate channeling occurs in enzymatic reactions, where intermediates are transferred directly from one enzyme’s active site to another, bypassing their release into the cellular environment (Leys et al., 2003; Miles et al., 1999). This mechanism improves catalytic efficiency by minimizing intermediate loss, while simultaneously protecting cells from the damaging effects of unstable or toxic species (Leys et al., 2003; Miles et al., 1999; Pareek et al., 2021). Classic examples include glycolytic and amino acid metabolic enzymes, where covalent or noncovalent tunnels ensure safe and rapid passage of intermediates (Leys et al., 2003; Miles et al., 1999; Pareek et al., 2021). Despite its importance, structural evidence for substrate channeling remains limited, particularly in enzymes that couple detoxification with energy metabolism.

Trimethylamine (TMA) and its oxidized derivative trimethylamine N-oxide (TMAO) are abundant small molecules present in both marine organisms and the human gut microbiome (Querio et al., 2023; Ilyas et al., 2022). TMA arises from microbial metabolism of dietary choline, carnitine, and other animal-derived nutrients, and is subsequently oxidized to TMAO by host flavin-containing monooxygenases (Querio et al., 2023; Ilyas et al., 2022). These metabolites are physiologically and clinically significant; elevated TMAO levels have been associated with cardiovascular disease and gastrointestinal cancer (Querio et al., 2023; Ilyas et al., 2022). Conversely, in marine bacteria and certain gut microbes, TMAO serves as both an energy source and a carbon donor, fueling specialized catabolic pathways that convert it into downstream metabolites (Querio et al., 2023; Ilyas et al., 2022; Lidbury et al., 2014).

A key enzyme in this process is trimethylamine N-oxide demethylase (TDM), which catalyzes the cleavage of a methyl group from TMAO to generate dimethylamine (DMA) and formaldehyde (HCHO) (Lidbury et al., 2014; Zhu et al., 2016). Early biochemical studies revealed that TDM is a two-domain protein: an N-terminal domain that mediates TMAO demethylation and a C-terminal domain structurally related to tetrahydrofolate (THF)-dependent enzymes, including the glycine cleavage T protein and dimethylsulfoniopropionate demethylase (Zhu et al., 2016; Wang et al., 2021; Augustin et al., 2016). This homology led to the hypothesis that the C-terminal domain could utilize the HCHO intermediate to form methylenetetrahydrofolate (MTHF), thereby coupling detoxification with one-carbon transfer metabolism (Zhu et al., 2016; Augustin et al., 2016). However, the molecular details of this bifunctional activity, how reactive HCHO is channeled and presented to the THF-binding site, have remained unresolved.

Here, we report cryo-EM structures of Paracoccus TDM captured in apo, substrate-bound, and product-bound states, providing the first high-resolution view of its dual-domain architecture (local resolution of 2.0 Å). Structural analysis revealed that the TMAO- and THF-binding pockets are separated by approximately 60 Å, raising the question of how HCHO is safely transferred. Tunnel mapping combined with target molecular dynamics (MD) simulations identified a continuous, negatively charged channel linking the two active sites, suggesting a structural basis for substrate channeling. Complementary biochemical assays and mass spectrometry confirmed that HCHO generated at the core catalytic site is efficiently converted to MTHF at the C-terminal domain. Together, these results establish TDM as a bifunctional enzyme that unites TMAO demethylation with HCHO detoxification and one-carbon transfer, highlighting a microbial strategy to enhance metabolic efficiency while mitigating toxicity.

Results and discussion

Optimization of TDM activity and evidence for bifunctionality

We first optimized purification and assay conditions for TDM by systematically varying salt concentration, pH buffer, and temperature. These analyses revealed a broad range, with the highest activity between pH 6.0 and 7.0 at 150 mM NaCl and 35–45°C (Figure 1—figure supplement 1A-D). Under these conditions, TDM robustly demethylated TMAO, yielding HCHO with a Vmax of 156 nmol/min/mg and a Km of 1.33 mM (Figure 1A). Notably, these kinetic parameters indicate higher catalytic activity than the previously reported TDM from Methylocella silvestris, which exhibits a Km of 3.88 mM and a Vmax of 14.61 nmol/min/mg (Zhu et al., 2016). High-performance liquid chromatography coupled with mass spectrometry (HPLC-MS) confirmed the production of DMA as a co-product (Figure 1B), consistent with prior reports (Zhu et al., 2016). Notably, HCHO concentrations decreased upon addition of THF (Figure 1C), suggesting that HCHO may be further processed into MTHF (Figure 1D). Overall, these findings suggest that TDM-mediated TMAO demethylation generates HCHO, which can subsequently react with THF, potentially linking TMAO breakdown to one-carbon metabolism.

Figure 1. Trimethylamine N-oxide demethylase (TDM) catalyzes two sequential reactions.

(A) Steady-state kinetic analysis of TDM-producing formaldehyde (HCHO), in response to varying concentrations of the substrate trimethylamine N-oxide (TMAO) (n=3). (B) Representative high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS) spectrum of dimethylamine (DMA) product from TDM:TMAO reaction. The standard curve for DMA is shown in green, and that for TMAO is shown in orange. The red trace shows the product of the reaction when TMAO is added to TDM, indicating the formation of DMA. Counts in the Y-axis. (C) Linear regression analysis demonstrates a concentration-dependent decrease in HCHO production when tetrahydrofolate (THF) is included in the reaction mixture, suggesting THF-dependent consumption or conversion of HCHO. (D) Representative HPLC-MS confirming the formation of methylenetetrahydrofolate (MTHF) adduct as a product of the TDM:TMAO:THF reaction. The red, gray, and green lines represent the standard curves for THF, MTHF, and the reaction product when TMAO and THF were present with TDM, respectively.

Figure 1.

Figure 1—figure supplement 1. Purification and biochemical characterization of trimethylamine N-oxide demethylase (TDM).

Figure 1—figure supplement 1.

(A) Protein samples were fractionated using a Superdex 200 10/300 column at varying salt concentrations. The peaks below 10 mL were in the void volume and aggregated. At 150 mM NaCl, a peak around 12.5 mL shows the best activity. (B) SDS-PAGE was used to assess sample purity. The gel shows the band under the gray and black fractions (corresponding to elution volumes marked in A) at 150 mM NaCl. Note that all peaks have TDM. The arrow on the right shows a band corresponding to the molecular weight of TDM. (C) TDM catalytic activity at different pH values (20 mM acetate buffer for pH of 4.0–5.0; 20 mM MES buffer for pH of 5.5–6.5; 20 mM Tris-HCl buffer for pH of 7.0–9.0) at 37°C for 30 min and (D) temperature conditions in a buffer of 20 mM MES pH 6.5, 150 mM NaCl. Relative activity was measured in relation to the maximum activity, which was set at 100%. All kinetic experiments were performed in triplicates.
Figure 1—figure supplement 1—source data 1. Original, unedited SDS-PAGE gel scan supporting the data presented in Figure 1—figure supplement 1B.
Figure 1—figure supplement 1—source data 2. Original, unedited SDS-PAGE gel scan supporting the data in Figure 1—figure supplement 1B.
Molecular weight standards are indicated in kDa; the blue arrow indicates the target trimethylamine N-oxide demethylase (TDM) protein.

Cryo-EM structures reveal an unusual oligomeric assembly

To elucidate the catalytic mechanism, we determined cryo-EM structures of apo TDM, a product-bound state (TMAO-soaked wild type), and a substrate-trapped mutant (D220A/D367A in complex with TMAO) (Figure 2A and B, Figure 2—figure supplement 1, Table 1). TDM assembles into an unexpected 2+2½ oligomeric architecture (Figure 2A–C). Two full-length subunits form a highly symmetric core dimer (root-mean-square deviation [RMSD] = 0.12 Å over 787 Cα atoms), while two peripheral half-subunits consist solely of C-terminal THF-binding domains (Figure 2C). The core dimer interface is stabilized by extensive hydrogen-bonding and hydrophobic interactions (Figure 2—figure supplement 2).

Figure 2. Overall architecture of trimethylamine N-oxide demethylase (TDM) determined by cryo-electron microscopy (cryo-EM).

(A) Representative cryo-EM maps. (B) Overall structure of the complex, with each subunit colored differently. TDM adopts a 2+2½ complexation. The two half-domains of the complex are the C-terminal domains. (C) Schematic illustration of TDM complexation. TDM monomers with N-terminal, core, and C-terminal domains are colored forest, orange, and blue, respectively. The same coloring is used in panels (A) and (B). (D) Close-up view of the 3Cys:Zn2+ binding motif. (E) Close-up view of the interactions between dimethylamine (DMA) and formaldehyde (HCHO) products with the 3Cys:Zn2+ motif. (F) The trimethylamine N-oxide (TMAO) substrate is trapped in the 3Cys:Zn2+ active site of the double D220A/D367A mutant. The density maps are shown and contoured at 3.0σ with a carve of 2 Å. Bound small molecules are shown as ball-and-stick representations, amino acid residues as sticks, and hydrogen bonds as dashed lines. (G) Relative activity of TDM variants.

Figure 2.

Figure 2—figure supplement 1. The cryo-electron microscopy (cryo-EM) data processing pipeline for trimethylamine N-oxide demethylase (TDM) structures carried out using cryoSPARC.

Figure 2—figure supplement 1.

Following iterative rounds of particle selection, classification, and refinement, a final subset comprising 10–60% of the initially exported particles was used to reconstruct the 3D EM map. The resulting map was subjected to local resolution estimation using the Phenix, which revealed a resolution range spanning from 2.0 to 5.0 Å across different regions of the structure. Both the global and local resolution maps were subsequently visualized and analyzed using UCSF ChimeraX to facilitate model interpretation and validation.
Figure 2—figure supplement 2. Dimerization of the core domains in the trimethylamine N-oxide demethylase (TDM) complex.

Figure 2—figure supplement 2.

(A) The central dimer interface is mediated by residues located within the core domain of each TDM monomer. For clarity, the N-terminal, core, and C-terminal domains are shown in forest green, light orange, and light blue, respectively. This structural arrangement highlights the spatial organization of the domains contributing to dimer formation. (B) The interface between the two core domains is stabilized through a network of interactions, including hydrogen bonds and hydrophobic contacts. Key residues involved in these interactions are positioned symmetrically across the interface, contributing to the overall stability and specificity of the dimeric assembly.
Figure 2—figure supplement 3. Sequence alignment of trimethylamine N-oxide demethylase (TDM) from Paracoccus sp. and other organisms using multalign.

Figure 2—figure supplement 3.

Green arrows indicate key residues in active site binding to trimethylamine N-oxide (TMAO) substrate. Red, conserved; blue, moderately conserved; black, no conserved residues. Paracoccus sp. DMF (WP_263566861.1), Paracoccus gahaiensis (WP_136886199.1), Tabrizicola flagellates (WP_149588984.1), Rhodobacter sp. SY28-1 (WP_137111587.1), Amaricoccus solimangrovi (WP_140453703.1), Sinirhodobacter sp. WL0062 (WP_233677943.1), Paenirhodobacter sp. CAU 1674 (WP_275732795.1), Pseudodonghicola flavimaris (WP_284481585.1).
Figure 2—figure supplement 4. Zinc association with the trimethylamine N-oxide demethylase (TDM) protein.

Figure 2—figure supplement 4.

(A) Energy-dispersive X-ray spectroscopy (EDS) analysis was performed to detect the presence and spatial distribution of zinc (Zn) in the purified TDM protein sample. The black-and-white panel represents the overall protein structure, while the green overlay indicates the specific localization of Zn signals, suggesting Zn binding or association with the protein. (B) Quantitative analysis of metal content was conducted using inductively coupled plasma mass spectrometry (ICP-MS). The molar ratios of iron and zinc relative to the TDM protein concentration were determined. Measurements were performed on independently prepared protein samples (n=2).
Figure 2—figure supplement 5. paraTDM lacks an iron-binding site.

Figure 2—figure supplement 5.

(A) Sequence alignment of M. silvestris trimethylamine N-oxide demethylase (MsTDM, WP_012592556.1) and paraTDM (WP_263566861), highlighting residues proposed to coordinate Fe2+ in MsTDM (arrows). (B) Cryo-electron microscopy (cryo-EM) structure of TDM expressed in LB medium supplemented with 0.5 mM Fe(NH4)2SO4 (Fe-enriched paraTDM). No additional EM density corresponding to a bound metal ion is observed, including in the regions between the proposed coordinating residues D220 and H298 (arrows) or between H298 and D367. Residues are shown in stick representation. The corresponding EM density contoured at 3.0 Å resolution is shown in the three residues.

Table 1. Cryo-electron microscopy (cryo-EM) data collection, refinement, validation, and statistics.

PDB
EMD
TDM-apo
9Q59
EMD-72223
TDM:DMA:HCHO:THF
9Q5L
EMD-72239
(DD):TMAO:THF
9Q5A
EMD-72224
Data collection and processing
Magnification 105,000 105,000 105,000
Voltage (kV) 300 300 300
Electron exposure (e–/Å2) 56.8 56.8 56.8
Defocus range (μm) 0.8–2.0 0.8–2.0 0.8–2.0
Raw pixel size (Å) 0.411 0.411 0.411
Symmetry imposed C2 C2 C2
Number of initial particle images 145,414 568,305 240,010
Number of final particle images 26,866 174,871 143,707
Map resolution (Å) 2.76 2.79 2.80
FSC threshold 0.143 0.143 0.143
Map resolution range (Å) 2.5–5.0 2.5–5.0 3.0–5.0
Refinement
Initial model used AlphaFold model Apo model Apo model
Model resolution (Å) N/A 2.8 2.8
FSC threshold 0.5 0.5 0.5
Model resolution range (Å) N/A 3.0–50 3.0–50
Model composition
Non-hydrogen atoms 17,878 17,058 17,917
Protein residues 2309 2196 2306
Ligand: ZN 2 2 2
TMO 2
HCHO 2
DMN 2
B factors (Å2)
Protein 118.75 87.46 86.93
Ligand 144.67 89.10 90.75
RMSD values
Bond lengths (Å) 0.004 0.004 0.003
Bond angles (°) 0.586 0.608 0.501
Validation
Molprobity score 2.22 2.32 2.02
Clash score 8.74 12.12 7.78
Poor rotamer (%) 2.98 2.63 2.18
Ramachandran plot (%)
Favored 94.25 93.89 95.07
Allowed 5.49 6.01 4.80
Outliers 0.26 0.09 0.13

Each catalytic core domain contains a conserved 3Cys:Zn2+ motif (C285, C301, C365) essential for protein stability (Figure 2D, Figure 2—figure supplement 3). Substitution of any of these cysteines with alanine led to aggregation, underscoring their structural importance. Elemental analysis (EDS and ICP-MS) confirmed zinc incorporation but excluded iron, yielding a Zn:protein ratio of ~1:2 (Figure 2—figure supplement 4A,B). This motif is analogous to Zn2+ centers in cytidine deaminases, (Sánchez-Quitian et al., 2010; Teh et al., 2006) alcohol dehydrogenases, and other Zn metalloenzymes (Bergman and Jörnvall, 2013; Jörnvall and Bergman, 2013).

Zn2+-dependent organization at the core catalytic domain

In TDM, Zn2+ occupies a single, well-defined site within the core catalytic domain and plays a central non-redox role in substrate binding and organization of the active-site environment. Cryo-EM analysis of the substrate-bound TDM complex reveals TMAO positioned within the Zn2+-containing active site through coordination of its oxygen atom with the metal center, while the surrounding conserved residues D220, F327, and D367 contribute to substrate recognition and stabilization (Figure 2D–F). These interactions define the substrate-bound state of the catalytic pocket and are summarized in Scheme 1, which illustrates the experimentally observed interactions between TMAO and the Zn2+-containing active site.

Scheme 1. Interactions of the substrate (trimethylamine N-oxide [TMAO]) and reaction products within the Zn2+-containing active site of trimethylamine N-oxide demethylase (TDM).

Scheme 1.

TMAO is coordinated within the active site through interactions with Zn2+ and surrounding conserved residues. The proposed product-binding states illustrate interactions of dimethylamine (DMA) and formaldehyde (HCHO) with residues lining the active-site pocket following turnover.

The cryo-EM structure of the TDM:DMA:HCHO complex shows both products retained within the active site, whereas in the D220A/D367A:TMAO mutant structure, the substrate remains trapped without substantial conformational changes relative to the wild-type enzyme (Figure 2E and F). Consistent with these observations, the F327A and D220A variants exhibit markedly reduced enzymatic activity, underscoring their importance in substrate recognition and active-site organization (Figure 2G). In contrast, mutation of D367, which participates in hydrogen bonding with the DMA product, results in a more modest (~10%) reduction in activity, consistent with a role in product stabilization rather than substrate binding or activation (Figure 2E–G). Together with the substrate-bound structure, these product-associated interactions complete the structural framework summarized in Scheme 1, illustrating how the Zn2+-containing active site accommodates both the substrate and the reaction products during TMAO turnover. While the detailed chemical mechanism remains to be established, these structures provide a framework for understanding substrate recognition, product stabilization, and active-site organization in TDM.

Notably, we found no structural or biochemical evidence for an additional iron-binding site in TDM. Previous studies of TDM from M. silvestris proposed the involvement of both Zn2+ and non-heme Fe2+ based on metal-content analyses and mutagenesis experiments; however, in the absence of experimentally determined structural information, the locations and coordination environments of these metals could not be directly resolved (Zhu et al., 2016; Cappa et al., 2025). In contrast, our inductively coupled plasma mass spectrometry (ICP-MS) and cryo-EM analyses consistently identified a single Zn2+-binding site within the core catalytic domain. Furthermore, expression of TDM in LB medium supplemented with 0.5 mM Fe(NH4)2SO4 (Figure 2—figure supplement 5A,B) did not reveal detectable Fe incorporation or the presence of an additional metal-binding site. Collectively, these data support a single Zn2+-containing active site in our TDM preparation and suggest that its metal composition differs from that proposed for the M. silvestris enzyme. While Zn2+ is structurally associated with substrate binding and organization of the active-site environment, the detailed chemical basis of TMAO demethylation remains to be established.

Architecture and binding properties at THF-binding domain

The C-terminal THF-binding domain is positioned on the intramolecular face of the TDM complex and forms extensive electrostatic interactions that are essential for stabilizing the central dimer interface (Figure 3—figure supplement 1A,B; Lee et al., 2004; Kohls et al., 2000). Structural comparison revealed that this domain adopts a conserved folate-binding fold closely resembling those of previously characterized THF-dependent proteins. Superposition with the T protein of the glycine cleavage system (PDB ID: 1WOO) yielded an RMSD of 1.18 Å over 371 Cα atoms (Figure 3—figure supplement 1C), indicating a high degree of structural conservation despite limited sequence identity (Lee et al., 2004). In addition, the overall architecture is consistent with the folate-binding domain of formiminotransferase-cyclodeaminase, another THF-dependent enzyme that utilizes a dedicated folate-binding module and has been proposed to facilitate intermediate transfer between catalytic domains (Kohls et al., 2000).

Cryo-EM density at the folate-binding site was consistent with that of THF binding, although resolution limitations and partial occupancy prevented complete ligand assignment (Figure 3A). Based on the structural homology, we modeled THF in the central cavity of the ring structure (Figure 3B). The pterin moiety of THF projected into the interior cavity, forming hydrophobic contacts with the aromatic folate-binding pocket (Figure 3B). Two positively charged residues, R480 and K782, located near the entrance of the binding funnel, likely engaged the polyglutamate tail via hydrogen bonding, complemented by π-stacking from F582 and F672 (Figure 3B). Similar binding modes have been observed in enzymes, such as T proteins, aminotransferase domains, and dimethylglycine dehydrogenase (Luka et al., 2014; Hyde et al., 1988; Dunn, 2012). ITC-binding isotherms show a clear interaction between THF and TDM, with negligible heat change in the buffer control, confirming binding specificity. The dissociation constant (Kd) was determined to be approximately 149 nM (Figure 3, Figure 3—figure supplement 2).

Figure 3. Tetrahydrofolate (THF) binding to trimethylamine N-oxide demethylase (TDM).

(A) The THF-binding domain forms a cloverleaf of three subdomains (I–III), creating a central cavity that accommodates THF. Electron microscopy (EM) density for THF is shown as a surface. (B) Close-up of the binding pocket highlighting hydrophobic and hydrogen-bonding residues that stabilize THF, colored according to their subdomain location in panel A. (C) Isothermal calorimetry (ITC) analysis confirms specific THF binding to TDM (blue), with negligible signal in buffer control (gray).

Figure 3.

Figure 3—figure supplement 1. Structural features of the tetrahydrofolate (THF)-binding domain in the trimethylamine N-oxide demethylase (TDM):dimethylamine (DMA):formaldehyde (HCHO):THF complex.

Figure 3—figure supplement 1.

(A) Dimerization of the THF-binding domains occurs through interactions between adjacent protomers, contributing to the overall oligomeric architecture of the TDM complex. (B) The central dimer interface is primarily formed by residues located on the inward-facing surfaces of the THF-binding domains. Stabilization of the interface involves multiple hydrogen bonds and additional polar contacts, facilitating a tight and specific interaction. (C) Structural comparison revealed a high degree of similarity to a THF-binding protein, as demonstrated by superposition with the T protein (PDB ID: 1WOO).
Figure 3—figure supplement 2. The binding of tetrahydrofolate (THF) to trimethylamine N-oxide demethylase (TDM) was determined by isothermal calorimetry (ITC).

Figure 3—figure supplement 2.

(A) Representative ITC thermogram showing the heat changes upon titration of THF into a solution containing purified TDM protein. (B, C) Control ITC thermogram showing titration of buffer into TDM (B) and titration of THF into buffer (C).

A substrate channel for HCHO transfer

High-resolution cavity mapping of the TDM:DMA:HCHO:THF complex revealed a continuous intramolecular tunnel that connects the Zn2+-containing demethylase pocket to the distal THF-binding site (Figure 4A). This conduit begins at the HCHO release position within the catalytic pocket at the core domain (HA, HB) and terminates near the folate pterin ring at the C-terminal domain (TA, TB). The channel is predominantly lined with acidic residues and polar side chains, generating a strongly negative electrostatic potential (Figure 4A). Such electrostatics likely stabilize the partial negative oxygen of HCHO, guiding it through the tunnel while excluding bulk anions and minimizing leakage.

Figure 4. Formaldehyde (HCHO) channels from the active site to the tetrahydrofolate (THF)-binding site in trimethylamine N-oxide demethylase (TDM) complex.

(A, B) Surface representations of the channels within the TDM complex colored according to either electrostatic potential or radius. (C) Tunnel analysis of a coarse-grained molecular dynamics (CG-MD) simulation suggests that HCHO in each chain can access the THF-binding sites in chains A and B. The five top-ranked paths for chain A are shown in different colors. THF, dimethylamine (DMA), and HCHO are depicted as spheres colored by the atom type. TA, TB, TC, and TD: THF molecules in chains A, B, C, and D, respectively; HA: chain A, HCHO.

Figure 4.

Figure 4—figure supplement 1. Structural stability of the trimethylamine N-oxide demethylase (TDM) complex during coarse-grained molecular dynamics (CG-MD) simulations.

Figure 4—figure supplement 1.

Root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), and radius of gyration (Rg) were analyzed over the course of a 10 μs CG-MD simulation. (A) The RMSD of protein backbone atoms relative to their initial positions stabilized around 0.5 nm, indicating overall structural stability. (B) The RMSF plot shows limited per-residue fluctuations, with elevated flexibility observed primarily in loop regions, consistent with expected dynamic behavior. (C) The Rg of the protein, calculated both overall and along individual spatial dimensions (x, y, and z), remained consistent throughout the simulation, further supporting the maintenance of a compact, folded structure.

Geometrically, the tunnel exhibits a radius ranging between 2.6 and 5.0 Å, with the narrowest bottleneck of 2.6 Å positioned just before the folate-binding cavity (Figure 4B). This matches closely with the van der Waals dimensions of HCHO (~2.5 Å), suggesting evolutionary fine-tuning for selective transfer of this reactive one-carbon intermediate. Importantly, no alternative solvent-accessible exits were detected, indicating that HCHO is obligatorily channeled to the THF site rather than diffusing freely.

Coarse-grained (CG) target MD simulations further supported this interpretation. Independent trajectories consistently identified two persistent tunnels, each connecting the Zn2+ demethylation sites (HA, HB) to the corresponding folate-binding sites (TA, TB) in the two protomers (Figure 4C, Figure 4—figure supplement 1). Within these trajectories, HCHO molecules entered the channel from the catalytic site, transiently interacted with acidic residues and ordered water molecules, and passed through narrow gating residues that rearranged to allow transit (Figure 4C). This dynamic yet persistent tunnel suggests a gated channeling mechanism that balances selectivity with throughput.

The channeling mechanism in TDM bears resemblance to classical substrate-channeling systems but with distinct architectural solutions. In tryptophan synthase, an ~25 Å hydrophobic tunnel delivers indole between two active sites (Douce et al., 2001; Zhang et al., 2020), whereas the glycine cleavage system employs a swinging lipoate arm on the H protein to transfer intermediates between catalytic partners (Sathyanarayanan et al., 2019; Zhu et al., 2014). Dimethylglycine dehydrogenase also channels HCHO to THF, but does so through surface-proximal transfer rather than via a buried conduit (Augustin et al., 2016; Dunn, 2012), while the PaaZ enzyme in phenylacetate catabolism uses electrostatic pivoting, in which a domain-swapped CoA arm swings the intermediate between domains, guided by conserved positive residues (Sathyanarayanan et al., 2019). By contrast, TDM relies on a fully enclosed, negatively charged tunnel, a unique design optimized for HCHO, a small, highly diffusible, and cytotoxic intermediate.

Role of the N-terminal domain in TDM assembly and function

The function of the N-terminal domain in TDM has remained unclear, and sequence alignment across homologs reveals low evolutionary conservation in this region (Figure 5A). Cryo-EM analysis revealed two distinct interaction modes between the N-terminal and C-terminal domains, including an unexpected interdomain interface between the N-terminal region and a peripheral THF-binding domain (Figure 5B, Figure 5—figure supplement 1, Figure 5—video 1). This interface appears to tether the flexible N-terminus to the THF-binding domain, forming a structural bridge that may regulate the conformational transitions required for complex assembly and efficient substrate transfer. The interaction is stabilized by aromatic stacking between P14 and W476, charge interaction, along with extensive hydrophobic contacts that promote proper domain packing and interdomain communication (Figure 5B, Figure 5—figure supplement 1).

Figure 5. The N-terminal domain is involved in the structural stability and assembly of proteins.

(A) The evolutionary conservation of residue positions on the trimethylamine N-oxide demethylase (TDM) structure is estimated based on phylogenetic connections among homologous sequences. (B) N-terminal domain was depicted as forest. Residues ranging from 1 to 20, 150–158 were highlighted. (C) Relative TDM activity of TDM mutants compared to that of wild-type (WT) variant.

Figure 5.

Figure 5—figure supplement 1. Two distinct binding modes between the N-terminal domain (green) and the tetrahydrofolate (THF)-binding domains (blue and light blue).

Figure 5—figure supplement 1.

(A) Interaction interface between N-terminal residues 150–158 and the THF-binding domain. (B) Alternative interaction interface involving N-terminal residues 12–18 with the THF-binding domain.
Figure 5—video 1. N-terminal domain facilitates recruitment of the peripheral tetrahydrofolate (THF)-binding domain.
Download video file (322.1KB, mp4)

Functional analyses further support this structural coupling. Deletion of the entire N-terminal region (Δ1–150) or the interfacial segment (Δ151–158) led to severe aggregation and loss of soluble protein, while removal of only the first 20 residues (Δ1–20) caused a modest (~10%) reduction in catalytic turnover (Figure 5C). These results indicate that the N-terminal domain not only stabilizes the quaternary architecture but may also facilitate allosteric coupling between the catalytic and folate-binding domains. Such dynamic coupling likely ensures efficient handoff of HCHO through the internal tunnel, synchronizing demethylation and one-carbon transfer reactions within the bifunctional TDM complex.

Conclusion

Our results establish TDM as both a bifunctional enzyme and an integrated substrate-channeling system. By coupling TMAO demethylation with THF-dependent one-carbon transfer, TDM not only produces DMA and methylene-THF but also ensures immediate capture of HCHO, a highly reactive and cytotoxic intermediate. Structural, biochemical, and computational analyses reveal that this is achieved through a fully enclosed, negatively charged conduit that links the Zn2+ catalytic core to the folate-binding site, thereby enhancing catalytic efficiency and preventing metabolite leakage.

Beyond defining the molecular basis of TDM activity, these findings highlight a general design principle: substrate channeling can evolve distinct architectures, hydrophobic tunnels, swinging arms, or electrostatic conduits, tailored to the physicochemical properties of the intermediate. The TDM structure expands this paradigm by revealing a tunnel optimized for HCHO transfer, underscoring microbial strategies for detoxification and metabolic efficiency. More broadly, this work provides a framework for re-engineering channeling systems in biocatalysis, synthetic biology, and microbiome modulation, where controlling the fate of reactive intermediates is central to both metabolic innovation and therapeutic applications.

Materials and methods

TDM construction, expression, and purification

The gene encoding full-length TDM (1–787) (WP_26356686) from Paracoccus sp. DMF was optimized for Escherichia coli codons and cloned into the pET21a(+) plasmid with either a C-terminal 6xHis tag or an N-terminal strepII tag using NdeI and XhoI restriction enzymes. Site-directed mutagenesis involving substitutions or deletions was performed using specific PCR primers (Universal, USA). Plasmid isolation and purification from E. coli were performed using a DNA spin kit (QIAGEN, Germany), and the identity of the DNA constructs was confirmed by sequencing (Genewiz, USA).

The TDM protein variants were expressed in E. coli BL21 (DE3) cells cultured in LB medium at 37°C. Induction was achieved with 0.25 mM isopropyl β-D-1-thiogalactopyranoside at 18°C for 16 hr. Protein purification was performed by affinity chromatography using either Ni-NTA resin (QIAGEN, Germany) or a strep-tag column (Cytiva, USA) in buffer A (20 mM Tris-HCl, pH 7.5, 250 mM NaCl, 1 mM TCEP, 300 mM imidazole, and 5% glycerol). Further purification steps included passage through a 2×5 mL HiTrap Q column (GE Healthcare, USA) using buffer B (20 mM Tris-HCl pH 7.5, 200 mM NaCl, 1 mM TCEP, and 5% glycerol) for equilibration, and buffer C (20 mM Tris-HCl pH 7.5, 1000 mM NaCl, 1 mM TCEP, and 5% glycerol) for elution. Final purification was achieved using a Superdex 200 increase 10/300 GL column (Cytiva, USA) in buffer D (20 mM Tris-HCl, pH 7.5, 150 mM NaCl, and 5% glycerol). The purity of the relevant fractions was assessed by SDS-PAGE.

TDM activity assay

Enzyme activity was assessed by measuring HCHO production from TMAO breakdown as described previously with minor modifications (Zhu et al., 2014). Briefly, enzymatic activity was evaluated in multiple buffering systems spanning a range of pH values. Maximal activity was observed in 10 mM MES buffer (pH 6.0) supplemented with 150 mM NaCl; this buffer was subsequently used for all kinetic analyses. Standard activity assays were performed in triplicate at room temperature. Each 50 μL reaction contained 2.5 μg of purified TDM in MES buffer and was initiated by the addition of TMAO to a final concentration of 10 mM. Reactions were incubated for 10 min, a time point confirmed to be within the linear range based on preliminary time-course experiments. For HCHO detection, 10 μL of the reaction mixture was combined with 25 μL of freshly prepared 0.2% (wt/vol) Purpald reagent dissolved in 1 M NaOH and 215 μL of Milli-Q water in a 96-well plate. After incubation for 20 min at room temperature, absorbance at 540 nm was measured using a SpectraMax G5 microplate reader. HCHO concentrations were calculated from a standard curve generated using analytical-grade HCHO (0–180 μM). The Michaelis-Menten constant (Km) and maximum velocity (Vmax) were determined using the Prism v.10.0.0 software. To evaluate HCHO reduction in the presence of THF, reactions were conducted with 5 mM TMAO and varying concentrations of THF ranging from 0 to 150 µM. All enzymatic assays were performed in triplicate.

For the analysis of DMA, CH2-THF products, and other compounds, HPLC-MS was employed. The analysis was performed using an Agilent 1290 Infinity II LC system coupled with an Agilent 6470 series QQQ mass spectrometer. Waters Acquity UPLC with a bridged ethylene hybrid hydrophobic interaction chromatography (2.1 mm × 150 mm, 1.7 µm) column was used for separation. The mobile phases were as follows: (A) 90% acetonitrile, 5% isopropanol, and 5% 200 mM ammonium formate (pH 3) and (B) 90% water, 5% acetonitrile, and 5% 200 mM ammonium formate (pH 3). The LC gradient was: 0 min, 0% B; 2 min, 0% B; 7 min, 98% B; 7.5 min, 98% B; 8 min, 0% B; 15 min, 0% B, with a flow rate of 0.3 mL/min.

Mass spectrometric analysis was performed using multiple reaction monitoring in the positive electrospray ionization (ESI) mode. The ESI interface settings were as follows: gas temperature, 325°C; gas flow rate, 7 L/min; nebulizer pressure, 45 psi; sheath gas temperature, 250°C; sheath gas flow rate, 7 L/min; capillary voltage, 3800 V; nozzle voltage, 1000 V; and ΔEMV voltage, 300 V. The concentrations of TMAO, DMA, THF, and CH2-THF were determined using internal deuterated standards (TMAO-d9 and DMA-d6), and the data were analyzed using the Agilent MassHunter Quantitative Analysis (version B.08.00).

Cryo-EM data processing and structure determination

Image processing and structure determination involve several steps. Motion correction and image summation were conducted using MotionCor (Zheng et al., 2017), and defocus values were estimated using Gctf (Zhang, 2016). Particle picking was performed using the DoG Picker (Voss et al., 2009), followed by initial reference-free 2D classification in cryoSPARC v.4.2.0 (Punjani et al., 2017). Representative 2D class averages were selected, and particle refinement was performed through multiple rounds of 2D classification. Subsequently, an initial ab initio reconstruction was performed. The particles underwent 3D classification into five classes using a low-pass filtered initial reconstruction at 20 Å as a reference model. Multiple rounds of 3D classification were performed, and the optimal subset displaying clear structural features underwent heterogeneous refinement over six rounds, resulting in a high-quality, refined subset. These refined particles underwent homologous refinement, yielding a map with global resolution indicated by a Fourier shell correlation (FSC) of 0.143. The final volume map was computed with C2 symmetry using cryoSPARC, and local resolution was assessed using Phenix. The initial apo model of the TDM was built in Coot v0.8.9 (Emsley and Cowtan, 2004), referencing the AlphaFold structure (Jumper et al., 2021). Monomeric TDM structures were fitted into cryo-EM electron density maps using UCSF ChimeraX (Pettersen et al., 2021), with subsequent iterative manual adjustments and rebuilding in Coot, including modeling of the N-terminal domain. Manual refinement was based on the electron density map quality in Coot, followed by real-space refinement in Phenix (Afonine et al., 2018). Validation included the analysis of FSC curves to assess model-map agreement and the evaluation of atomic model geometry using MolProbity (Chen et al., 2015). Detailed refinement statistics are provided in Table 1. The pore-lining surfaces and receptor channels were analyzed using the MOLE software (Pravda et al., 2018). Visual representations were created using UCSF ChimeraX and PyMOL (DeLano, 2002).

MD simulations of enzyme tunneling

CG-MD simulations of TDM were conducted using the GROMACS 2021.5 and Martini3 force fields with the Gō model (Souza et al., 2025). The CG coordinates were generated from the TDM:DMA:HCHO structure via martinize2 (Kroon et al., 2025), with the secondary structure assigned using DSSP (Joosten et al., 2011). The Gō contact map was created using the GōContactMap server with a Cα-Cα distance cutoff of 0.3–1.1 nm and Gō potential of 9.414 kJ/mol (Souza et al., 2025).

The simulations employed periodic boundary conditions, with short-range interaction cutoff at 1.1 nm and long-range electrostatics handled by the reaction-field method (Tironi et al., 1995). The system was maintained at 316.16 K and a pressure of 1 bar. Initial energy minimization was performed until the forces were below 10 kJ/mol/nm, followed by solvation using INSANE (Wassenaar et al., 2015) and addition of 0.15 M NaCl. The system contained 1324 Na+/Cl– beads and 110,246 water beads in the simulation box.

The system was equilibrated for 5 ns with position restraints on the backbone beads, followed by 10 ns of unrestrained equilibration. The 10 µs production run used the velocity-rescale thermostat and Parrinello-Rahman barostat, with a 20 fs time step and coordinates saved every 500 ps for the production run (Bussi et al., 2007; Parrinello and Rahman, 1981). Tunnel calculations were performed using CAVER3.0 (Chovancova et al., 2012). The starting points for the tunnel calculations were defined by residues near HCHO (A282, T369, and S378). A 2.5 Å probe radius and time sparsity of 1 were applied to avoid redundant tunnel generation. The detected tunnels were clustered using a threshold of 5.0 and a frame reweighting coefficient of 1. Protein stability was evaluated by calculating RMSD, RMSF, and Rg using gmx rms, gmx rmsf, and gmx gyrates, respectively.

Isothermal calorimetry

ITC measurements were performed using a NANO ITC system (TA Instruments) to evaluate the binding affinities of TDM and THF at 20°C. The compound solution was equilibrated with protein buffer D, and all protein and compound solutions were prepared in the same degassed buffer before use. ITC cells were loaded with 250 μL of TDM protein (5 μM) and titrated with THF (80 μM). Titration involved injecting 1 μL of the substrate into the protein solution, followed by 19 injections of 2.45 μL each. The stirring rate was set at 200 rpm. For control experiments, the buffer was injected into the protein alone. Equilibrium association constants were calculated by fitting reference-corrected data using the binding model supplied by the manufacturer.

Energy-dispersive X-ray spectroscopy analysis

Ten microliters of TDM protein at a concentration of 100 µM was dropped on the silicon wafer and vacuum dried. After drying, the samples were gold-coated (~10 nm) and analyzed using a CARL ZEISS EVO 50. Buffer was used as a control experiment.

Inductively coupled plasma mass spectrometry

ICP-MS experiments were conducted using trace metal-grade nitric acid (HNO3, 3% vol/vol), which was purified in-house by sub-boiling point distillation, as the sample matrix. ICP-MS analyses were performed using an Agilent Technologies 7500 ICP-MS instrument, while ICP-OES was conducted using a Perkin Elmer Optima 5300DV Optical Emission Spectrometer. Protein samples at approximately 1.0 mg/mL, together with buffer-only controls, were initially screened by ICP-MS using a stitched wide-window survey scan to approximate a full metal mass scan for the detection of metal-associated isotopes, while also identifying predominant elemental species and potential spectral interferences. Calibration standards were freshly prepared by diluting the stock solutions (Sigma-Aldrich) in 3% HNO3 and doubly deionized water. Approximately 2.4 mg of protein was diluted in a 3% HNO3 matrix for metal analysis, and zinc concentrations were measured using the emission line at 213.857 nm.

Acknowledgements

Special thanks go to Dr. Robert Stahelin for granting access to the ITC machine; Dr. Na Gou for ICP-MS analysis; Drs. T Klose and F Vago for cryo-EM; and S Wilson for computation. We acknowledge the Purdue cryo-EM facility for access to instrumentation for data collection and the New Zealand eScience Infrastructure for high-performance computing.

Funding Statement

No external funding was received for this work.

Contributor Information

Trung Thach, Email: ttthach@purdue.edu.

Gurunath Ramanathan, Email: gurunath@iitk.ac.in.

Ramaswamy Subramanian, Email: subram68@purdue.edu.

Julien Roche, Iowa State University, United States.

Amy H Andreotti, Iowa State University, United States.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Supervision, Writing – original draft, Writing – review and editing.

Data curation, Methodology.

Data curation, Methodology.

Data curation.

Data curation.

Data curation.

Conceptualization.

Conceptualization.

Additional files

MDAR checklist

Data availability

The three-dimensional cryo-EM density maps and corresponding atomic coordinates for TDM in the apo state and in complex with ligands have been deposited in the Protein Data Bank (PDB) and Electron Microscopy Data Bank (EMDB) under the following accession codes: TDM-apo, EMD-72223/PDB 9Q59; TDM:DMA:HCHO in the presence of THF, EMD-72239/PDB 9Q5L; and TDM(DD):TMAO in the presence of THF, EMD-72224/PDB 9Q5A.

The following datasets were generated:

Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Worldwide Protein Data Bank.

Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Worldwide Protein Data Bank.

Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Worldwide Protein Data Bank.

Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Electron Microscopy Data Bank. EMD-72223

Thach T, Subremanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Electron Microscopy Data Bank. EMD-72239

Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Electron Microscopy Data Bank. EMD-72224

References

  1. Afonine PV, Poon BK, Read RJ, Sobolev OV, Terwilliger TC, Urzhumtsev A, Adams PD. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallographica. Section D, Structural Biology. 2018;74:531–544. doi: 10.1107/S2059798318006551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Augustin P, Hromic A, Pavkov-Keller T, Gruber K, Macheroux P. Structure and biochemical properties of recombinant human dimethylglycine dehydrogenase and comparison to the disease-related H109R variant. The FEBS Journal. 2016;283:3587–3603. doi: 10.1111/febs.13828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bergman T, Jörnvall H. Encyclopedia of Metalloproteins. New York, NY: Springer; 2013. [DOI] [Google Scholar]
  4. Bussi G, Donadio D, Parrinello M. Canonical sampling through velocity rescaling. The Journal of Chemical Physics. 2007;126:014101. doi: 10.1063/1.2408420. [DOI] [PubMed] [Google Scholar]
  5. Cappa F, Polidori N, Giuriato D, Correddu D, Marucco A, Sadeghi SJ, Levi R, Catucci G, Gilardi G. Calorimetric characterization of the stability and activity of trimethylamine-N-oxide (TMAO) demethylase from Methylocella silvestris BL2. Protein Science. 2025;34:e70364. doi: 10.1002/pro.70364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Chen VB, Wedell JR, Wenger RK, Ulrich EL, Markley JL. MolProbity for the masses-of data. Journal of Biomolecular NMR. 2015;63:77–83. doi: 10.1007/s10858-015-9969-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chovancova E, Pavelka A, Benes P, Strnad O, Brezovsky J, Kozlikova B, Gora A, Sustr V, Klvana M, Medek P, Biedermannova L, Sochor J, Damborsky J. CAVER 3.0: a tool for the analysis of transport pathways in dynamic protein structures. PLOS Computational Biology. 2012;8:e1002708. doi: 10.1371/journal.pcbi.1002708. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. DeLano WL. DeLano Scientific. San Carlos, CA, USA: 2002. http://www.pymol.org [Google Scholar]
  9. Douce R, Bourguignon J, Neuburger M, Rébeillé F. The glycine decarboxylase system: a fascinating complex. Trends in Plant Science. 2001;6:167–176. doi: 10.1016/s1360-1385(01)01892-1. [DOI] [PubMed] [Google Scholar]
  10. Dunn MF. Allosteric regulation of substrate channeling and catalysis in the tryptophan synthase bienzyme complex. Archives of Biochemistry and Biophysics. 2012;519:154–166. doi: 10.1016/j.abb.2012.01.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Cryst D. 2004;60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
  12. Hyde CC, Ahmed SA, Padlan EA, Miles EW, Davies DR. Three-dimensional structure of the tryptophan synthase alpha 2 beta 2 multienzyme complex from Salmonella typhimurium. The Journal of Biological Chemistry. 1988;263:17857–17871. [PubMed] [Google Scholar]
  13. Ilyas A, Wijayasinghe YS, Khan I, El Samaloty NM, Adnan M, Dar TA, Poddar NK, Singh LR, Sharma H, Khan S. Implications of trimethylamine N-oxide (TMAO) and Betaine in human health: beyond being osmoprotective compounds. Frontiers in Molecular Biosciences. 2022;9:964624. doi: 10.3389/fmolb.2022.964624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Joosten RP, te Beek TAH, Krieger E, Hekkelman ML, Hooft RWW, Schneider R, Sander C, Vriend G. A series of PDB related databases for everyday needs. Nucleic Acids Research. 2011;39:D411–D419. doi: 10.1093/nar/gkq1105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Jörnvall H, Bergman T. Encyclopedia of Metalloproteins. New York, NY: Springer; 2013. [Google Scholar]
  16. Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, Bridgland A, Meyer C, Kohl SAA, Ballard AJ, Cowie A, Romera-Paredes B, Nikolov S, Jain R, Adler J, Back T, Petersen S, Reiman D, Clancy E, Zielinski M, Steinegger M, Pacholska M, Berghammer T, Bodenstein S, Silver D, Vinyals O, Senior AW, Kavukcuoglu K, Kohli P, Hassabis D. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596:583–589. doi: 10.1038/s41586-021-03819-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Kohls D, Sulea T, Purisima EO, MacKenzie RE, Vrielink A. The crystal structure of the formiminotransferase domain of formiminotransferase-cyclodeaminase: implications for substrate channeling in a bifunctional enzyme. Structure. 2000;8:35–46. doi: 10.1016/s0969-2126(00)00078-2. [DOI] [PubMed] [Google Scholar]
  18. Kroon PC, Grünewald F, Barnoud J, van Tilburg M, Brasnett C, Souza PCT, Wassenaar TA, Marrink SJ. Martinize2 and Vermouth provide a unified framework for molecular topology generation. eLife. 2025;12:RP90627. doi: 10.7554/eLife.90627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Lee HH, Kim DJ, Ahn HJ, Ha JY, Suh SW. Crystal structure of T-protein of the glycine cleavage system: Cofactor binding, insights into H-protein recognition, and molecular basis for understanding nonketotic hyperglycinemia. The Journal of Biological Chemistry. 2004;279:50514–50523. doi: 10.1074/jbc.M409672200. [DOI] [PubMed] [Google Scholar]
  20. Leys D, Basran J, Scrutton NS. Channelling and formation of “active” formaldehyde in dimethylglycine oxidase. The EMBO Journal. 2003;22:4038–4048. doi: 10.1093/emboj/cdg395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Lidbury I, Murrell JC, Chen Y. Trimethylamine N -oxide metabolism by abundant marine heterotrophic bacteria. PNAS. 2014;111:2710–2715. doi: 10.1073/pnas.1317834111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Luka Z, Pakhomova S, Loukachevitch LV, Newcomer ME, Wagner C. Folate in demethylation: the crystal structure of the rat dimethylglycine dehydrogenase complexed with tetrahydrofolate. Biochemical and Biophysical Research Communications. 2014;449:392–398. doi: 10.1016/j.bbrc.2014.05.064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Miles EW, Rhee S, Davies DR. The molecular basis of substrate channeling. The Journal of Biological Chemistry. 1999;274:12193–12196. doi: 10.1074/jbc.274.18.12193. [DOI] [PubMed] [Google Scholar]
  24. Pareek V, Sha Z, He J, Wingreen NS, Benkovic SJ. Metabolic channeling: predictions, deductions, and evidence. Molecular Cell. 2021;81:3775–3785. doi: 10.1016/j.molcel.2021.08.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Parrinello M, Rahman A. Polymorphic transitions in single crystals: a new molecular dynamics method. Journal of Applied Physics. 1981;52:7182–7190. doi: 10.1063/1.328693. [DOI] [Google Scholar]
  26. Pettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI, Morris JH, Ferrin TE. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Science. 2021;30:70–82. doi: 10.1002/pro.3943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Pravda L, Sehnal D, Toušek D, Navrátilová V, Bazgier V, Berka K, Svobodová Vareková R, Koca J, Otyepka M. MOLEonline: a web-based tool for analyzing channels, tunnels and pores (2018 update) Nucleic Acids Research. 2018;46:W368–W373. doi: 10.1093/nar/gky309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Punjani A, Rubinstein JL, Fleet DJ, Brubaker MA. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nature Methods. 2017;14:290–296. doi: 10.1038/nmeth.4169. [DOI] [PubMed] [Google Scholar]
  29. Querio G, Antoniotti S, Geddo F, Levi R, Gallo MP. Modulation of endothelial function by TMAO, a gut microbiota-derived metabolite. International Journal of Molecular Sciences. 2023;24:5806. doi: 10.3390/ijms24065806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Sánchez-Quitian ZA, Schneider CZ, Ducati RG, de Azevedo WF, Bloch C, Basso LA, Santos DS. Structural and functional analyses of Mycobacterium tuberculosis Rv3315c-encoded metal-dependent homotetrameric cytidine deaminase. Journal of Structural Biology. 2010;169:413–423. doi: 10.1016/j.jsb.2009.12.019. [DOI] [PubMed] [Google Scholar]
  31. Sathyanarayanan N, Cannone G, Gakhar L, Katagihallimath N, Sowdhamini R, Ramaswamy S, Vinothkumar KR. Molecular basis for metabolite channeling in a ring opening enzyme of the phenylacetate degradation pathway. Nature Communications. 2019;10:4127. doi: 10.1038/s41467-019-11931-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Souza PCT, Borges-Araújo L, Brasnett C, Moreira RA, Grünewald F, Park P, Wang L, Razmazma H, Borges-Araújo AC, Cofas-Vargas LF, Monticelli L, Mera-Adasme R, Melo MN, Wu S, Marrink SJ, Poma AB, Thallmair S. GōMartini 3: from large conformational changes in proteins to environmental bias corrections. Nature Communications. 2025;16:4051. doi: 10.1038/s41467-025-58719-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Teh AH, Kimura M, Yamamoto M, Tanaka N, Yamaguchi I, Kumasaka T. The 1.48 A resolution crystal structure of the homotetrameric cytidine deaminase from mouse. Biochemistry. 2006;45:7825–7833. doi: 10.1021/bi060345f. [DOI] [PubMed] [Google Scholar]
  34. Tironi IG, Sperb R, Smith PE, van Gunsteren WF. A generalized reaction field method for molecular dynamics simulations. The Journal of Chemical Physics. 1995;102:5451–5459. doi: 10.1063/1.469273. [DOI] [Google Scholar]
  35. Voss NR, Yoshioka CK, Radermacher M, Potter CS, Carragher B. DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy. Journal of Structural Biology. 2009;166:205–213. doi: 10.1016/j.jsb.2009.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Wang XJ, Zhang N, Teng ZJ, Wang P, Zhang WP, Chen XL, Zhang YZ, Chen Y, Fu HH, Li CY. Structural and mechanistic insights into dimethylsulfoxide formation through dimethylsulfide oxidation. Frontiers in Microbiology. 2021;12:735793. doi: 10.3389/fmicb.2021.735793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Wassenaar TA, Ingólfsson HI, Böckmann RA, Tieleman DP, Marrink SJ. Computational lipidomics with insane: a versatile tool for generating custom membranes for molecular simulations. Journal of Chemical Theory and Computation. 2015;11:2144–2155. doi: 10.1021/acs.jctc.5b00209. [DOI] [PubMed] [Google Scholar]
  38. Zhang K. Gctf: Real-time CTF determination and correction. Journal of Structural Biology. 2016;193:1–12. doi: 10.1016/j.jsb.2015.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Zhang H, Li Y, Nie J, Ren J, Zeng AP. Structure-based dynamic analysis of the glycine cleavage system suggests key residues for control of a key reaction step. Communications Biology. 2020;3:756. doi: 10.1038/s42003-020-01401-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Zheng SQ, Palovcak E, Armache JP, Verba KA, Cheng Y, Agard DA. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nature Methods. 2017;14:331–332. doi: 10.1038/nmeth.4193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Zhu Y, Jameson E, Parslow RA, Lidbury I, Fu T, Dafforn TR, Schäfer H, Chen Y. Identification and characterization of trimethylamine N-oxide (TMAO) demethylase and TMAO permease in Methylocella silvestris BL2. Environmental Microbiology. 2014;16:3318–3330. doi: 10.1111/1462-2920.12585. [DOI] [PubMed] [Google Scholar]
  42. Zhu Y, Ksibe AZ, Schäfer H, Blindauer CA, Bugg TDH, Chen Y. O2 -independent demethylation of trimethylamine N-oxide by Tdm of Methylocella silvestris. The FEBS Journal. 2016;283:3979–3993. doi: 10.1111/febs.13902. [DOI] [PubMed] [Google Scholar]

eLife Assessment

Julien Roche 1

This study reports high-resolution cryo-EM structures of Paracoccus trimethylamine N-oxide demethylase and advances the intriguing hypothesis that the enzyme may be bifunctional, coupling TMAO demethylation to formaldehyde capture at a distal tetrahydrofolate-binding site through an enclosed intramolecular tunnel. Supported by biochemical assays and molecular dynamics simulations, the structural findings are important and potentially of broad interest, particularly the unusual oligomeric architecture and the proposed conduit for a reactive intermediate. However, evidence that the conduit mediates formaldehyde channeling remains incomplete, because the current HCHO-THF measurements do not demonstrate enzyme-dependent transfer or distinguish downstream HCHO consumption from indirect effects of THF on enzyme activity.

Reviewer #1 (Public review):

Anonymous

Summary:

Thach et al. report on the structure and function of trimethylamine N-oxide demethylase (TDM). They identify a novel complex assembly composed of multiple TDM monomers and obtain high-resolution structural information for the catalytic site, including an analysis of its metal composition, which leads them to propose a mechanism for the catalytic reaction.

In addition, the authors describe a novel substrate channel within the TDM complex that connects the N-terminal Zn²⁺-dependent TMAO demethylation domain with the C-terminal tetrahydrofolate (THF)-binding domain. This continuous intramolecular tunnel appears highly optimized for shuttling formaldehyde (HCHO), based on its negative electrostatic properties and restricted width. The authors propose the hypothesis that this channel facilitates the safe transfer of HCHO, enabling its efficient conversion to methylenetetrahydrofolate (MTHF) at the C-terminal domain as a microbial detoxification strategy. Experimental data that shows an involvement of TDM in the reaction of HCHO with THF is less convincing.

Strengths:

The authors provide convincing high-resolution cryo-EM structural evidence (up to 2 Å) revealing an intriguing complex composed of two full monomers and two half-domains. They further present evidence for the metal ion bound at the active site and articulate a hypothesis for the catalytic cycle. Substantial effort is devoted to optimizing and characterizing enzyme activity, including detailed kinetic analyses across a range of pH values, temperatures, and substrate concentrations. Furthermore, the authors validate their structural insights through functional analysis of active-site point mutants.

In addition, the authors identify a continuous channel for formaldehyde (HCHO) passage within the structure and support this interpretation through molecular dynamics simulations. These analyses suggest an exciting mechanism of specific, dynamic, and gated channeling of HCHO. This finding is particularly appealing, as it implies the existence of a unique, completely enclosed conduit that may be of broad interest, including potential applications in bioengineering.

Weaknesses:

Although the idea of an enclosed channel for HCHO is compelling, the experimental evidence supporting enzymatic assistance in the reaction of HCHO with THF is less convincing. The linear regression analysis shown in Figure 1C demonstrates a THF concentration-dependent decrease in HCHO; however, it is well established that HCHO and THF can react spontaneously in a non-enzymatic manner, raising the possibility that the observed effect does not require enzymatic involvement. I appreciate the authors' clarification that the data in Figure 1 were not intended to demonstrate enzymatic channeling or catalytic involvement in the HCHO-THF reaction, and that the assay does not distinguish between changes in HCHO production and downstream consumption. The authors' revised statement "Overall, these findings suggest that TDM-mediated TMAO demethylation generates HCHO, which can subsequently react with THF, potentially linking TMAO breakdown to one-carbon metabolism." is appropriately cautious and leaves open the mechanism underlying this process, which is consistent with the evidence presented.

Overall, the authors were successful in advancing our structural and functional understanding of the TDM complex. They suggest an interesting oligomeric complex composition which in my opinion should be investigated with additional biophysical techniques.

Additionally, they provide an intriguing hypothesis for a new type of substrate channeling. However, additional kinetic experiments focusing on HCHO and THF turnover by enzymatic proximity effects are required to strengthen this potentially fundamental finding. If this channeling mechanism can be supported by stronger experimental evidence, it would substantially advance our understanding and knowledge of biologic conduits and enable future efforts in the design of artificial cascade catalysis systems with high conversion rate and efficiency, as well as detoxification pathways.

Comments on revised version.

It is unfortunate that no additional experimental evidence supporting the proposed channeling mechanism could be provided. In the absence of such evidence, I remain somewhat hesitant to regard the evidence as "solid" rather than "incomplete," particularly given that the authors themselves acknowledge that the current experiments do not establish enzymatic channeling. However, the rest of the manuscript is stronger despite this limitation.

eLife. 2026 Sep 28;15:RP109964. doi: 10.7554/eLife.109964.4.sa2

Author response

Trung Thach 1, KanagaVijayan Dhanabalan 2, Shiwangi Maurya 3, Yu Han-Hallett 4, Senwei Quan 5, Jane Allison 6, Gurunath Ramanathan 7, Ramaswamy Subramanian 8

The following is the authors’ response to the previous reviews

Public Reviews:

Reviewer #1 (Public review):

Summary:

Thach et al. report on the structure and function of trimethylamine N-oxide demethylase (TDM). They identify a novel complex assembly composed of multiple TDM monomers and obtain high-resolution structural information for the catalytic site, including an analysis of its metal composition, which leads them to propose a mechanism for the catalytic reaction.

In addition, the authors describe a novel substrate channel within the TDM complex that connects the N-terminal Zn2+-dependent TMAO demethylation domain with the C-terminal tetrahydrofolate (THF)-binding domain. This continuous intramolecular tunnel appears highly optimized for shuttling formaldehyde (HCHO), based on its negative electrostatic properties and restricted width. The authors propose that this channel facilitates the safe transfer of HCHO, enabling its efficient conversion to methylenetetrahydrofolate (MTHF) at the C-terminal domain as a microbial detoxification strategy. Experimental data that shows an involvement of TDM in the reaction of HCHO with THF is less convincing.

Strengths:

The authors provide convincing high-resolution cryo-EM structural evidence (up to 2 Å) revealing an intriguing complex composed of two full monomers and two half-domains. They further present evidence for the metal ion bound at the active site and articulate a hypothesis for the catalytic cycle. Substantial effort is devoted to optimizing and characterizing enzyme activity, including detailed kinetic analyses across a range of pH values, temperatures, and substrate concentrations. Furthermore, the authors validate their structural insights through functional analysis of active-site point mutants.

In addition, the authors identify a continuous channel for formaldehyde (HCHO) passage within the structure and support this interpretation through molecular dynamics simulations. These analyses suggest an exciting mechanism of specific, dynamic, and gated channelling of HCHO. This finding is particularly appealing, as it implies the existence of a unique, completely enclosed conduit that may be of broad interest, including potential applications in bioengineering.

Weaknesses:

Although the idea of an enclosed channel for HCHO is compelling, the experimental evidence supporting enzymatic assistance in the reaction of HCHO with THF is less convincing. The linear regression analysis shown in Figure 1C demonstrates a THF concentration-dependent decrease in HCHO; however, it is well established that HCHO and THF can react spontaneously in a non-enzymatic manner, raising the possibility that the observed effect does not require enzymatic involvement. I appreciate the authors' clarification that the data in Figure 1 were not intended to demonstrate enzymatic channelling or catalytic involvement in the HCHO-THF reaction, and that the assay does not distinguish between changes in HCHO production and downstream consumption. However, the statement "these findings show that TDM carries out two linked reactions: TMAO demethylation at one active site, and the HCHO produced can condense with THF at the C-terminal domain, connecting TMAO breakdown to one-carbon metabolism" (page 2) still implies a mechanistic and functional coupling that is not supported by the presented data and appears inconsistent with the authors' clarification. In light of this, I recommend revising this statement to avoid implying mechanistic or functional coupling between the two reactions unless additional experimental evidence is provided.

We thank the reviewer for this clarification. We have revised as per recommendation (page 2).

“Overall, these findings suggest that TDM-mediated TMAO demethylation generates HCHO, which can subsequently react with THF, potentially linking TMAO breakdown to one-carbon metabolism.”

Overall, the authors were successful in advancing our structural and functional understanding of the TDM complex. They suggest an interesting oligomeric complex composition which should be investigated with additional biophysical techniques.

Additionally, they provide an intriguing hypothesis for a new type of substrate channelling. Additional kinetic experiments focusing on HCHO and THF turnover by enzymatic proximity effects would strengthen this potentially fundamental finding. If this channelling mechanism can be supported by stronger experimental evidence, it would substantially advance our understanding and knowledge of biologic conduits and enable future efforts in the design of artificial cascade catalysis systems with high conversion rate and efficiency, as well as detoxification pathways.

Reviewer #2 (Public review):

Summary:

The manuscript reports a cryo-EM structure of TMAO demethylase from Paracoccus sp. This is an important enzyme in the metabolism of trimethylamine oxide (TMAO) and trimethylamine (TMA) in human gut microbiota, so new information about this enzyme would certainly be of interest.

Strengths:

The cryo-EM structure for this enzyme is new and provides new insights into the function of the different protein domains, and a channel for formaldehyde between the two domains.

Weaknesses:

(1) The proposed catalytic mechanism in this manuscript does not make sense. Previous mechanistic studies on the Methylocella silvestris TMAO demethylase (FEBS Journal 2016, 283, 3979-3993, reference 7) reported that, as well as a Zn2+ cofactor, there was a dependence upon non-heme Fe2+, and proposed a catalytic mechanism involving deoxygenation to form TMA and an iron(IV)-oxo species, followed by oxidative demethylation to form DMA and formaldehyde.

In this work, the authors do not mention the previously proposed mechanism, but instead just say that elemental analysis "excluded iron". This is alarming, since the previous work has a key role for non-heme iron in the mechanism. The elemental analysis here gives a Zn content of about 0.5 mol/mol protein (and no Fe), whereas the Methylocella TMAO demethylase was reported to contain 0.97 mol Zn/mol protein, and 0.35-0.38 mol Fe/mol protein. It does, therefore, appear that their enzyme is depleted in Zn, and the absence of Fe impacts on the mechanism, as explained below.

The proposed catalytic mechanism in this manuscript, I am sorry to say, does not make sense, for several reasons:

(i) Demethylation to form formaldehyde is not a hydrolytic process; it is an oxidative process (normally accomplished by either cytochrome P450 or non-heme iron-dependent oxygenase). The authors propose that a zinc (II) hydroxide attacks the methyl group, which (a) is unprecedented, (b) even if it were possible, would generate methanol, not formaldehyde.

(ii) The amine oxide is proposed to deoxygenate, with hydroxide appearing on the Zn - unfortunately, amine oxide deoxygenation is a reductive process, for which a reducing agent is needed, and Zn2+ is not a redox-active metal ion;

(iii) The authors say "forming a tetrahedral intermediate, as described for metalloprotease," but zinc metalloproteases attack an amide carbonyl to form an oxyanion intermediate, whereas in this mechanism, there is no carbonyl to attack, so this statement is just wrong.

So on several counts the proposed mechanism cannot be correct. Some redox cofactor is needed in order to carry out amine oxide deoxygenation, and Zn2+ cannot fulfil that role. Fe2+ could do, which is why the previously proposed mechanism involving an iron(IV)-oxo intermediate is feasible. But the authors claim that their enzyme has no Fe. If so then there must be some other redox cofactor present. Therefore, the authors need to re-analyse their enzyme carefully and look either for Fe or for some other redox-active metal ion, and then provide convincing experimental evidence for a feasible catalytic mechanism. As it stands the proposed catalytic mechanism is unacceptable.

Revised version. The authors have essentially not changed the proposed mechanism. They have removed the reference to zinc metalloproteases, but still propose a mechanism mediated only by Zn2+. As explained above, attack by zinc (II) hydroxide is unprecedented and would generate methanol, not formaldehyde, and amine deoxygenation is a reductive process that cannot be fulfilled by Zn2+. So the proposed mechanism is still not feasible at all. The authors now say that "oxidative chemistry....remains unresolved", I'm sorry, but that is not acceptable.

I have urged the authors to re-examine the metal content of their enzyme, In the Supporting Information (Figure S5) they give ICPMS data that indicates a Zn stoichiometry of 0.5 mol Zn/mol protein, and Fe is not detected. Have the authors analysed for other redox active metals? The authors say that there is no evidence for any other metal binding site, but there is only 50% occupancy of Zn in their protein, so could there be a different metal ion present in place of Zn in the other 50% of the protein, that accounts for the observed activity?

Since there is clearly a major discrepancy here, the onus is on the authors to explain the discrepancy, rather than just returning with the same data. For example, they could treat the enzyme with EDTA to remove all metals (and check the treated enzyme by ICPMS), and then add different metal ions to test activity with different metals (could even titrate with different molar equivalents of metal ions). They could then test a range of different redox-active metal ions.

We have re-examined our data and repeated experiments on the reviewer's opinion. We have repeated the IC-PMS several times with different preps, including full scans (data presented). Our enzyme is active, but no iron signal is detected. Moreover, the experimentally determined structure does not support the presence of a non-heme iron-binding site (Bugg TDH, Ramaswamy S., doi:10.1016/j.cbpa.2007.12.007, and other papers). More detailed response in the recommendations to authors.

(2) Given the metal content reported here, it is important to be able to compare the specific activity of the enzyme reported here with earlier preparations. The authors have now done this in the revised version.

(3) The consumption of formaldehyde to form methylene-THF is potentially interesting, but the authors say "HCHO levels decreased in the presence of THF", which could potentially be due to enzyme inhibition by THF. Is there evidence that this is a time-dependent and protein-dependent reaction? Not yet addressed.

We thank the reviewer for this important point. At present, we have not performed detailed time-dependent or protein-dependent analyses to determine whether the observed decrease in HCHO levels in the presence of THF reflects enhanced downstream consumption or indirect effects, such as inhibition of TDM activity by THF. We acknowledge that further kinetic and protein-dependence studies will be important directions for future work.

Also in Figure 1C, HCHO reduction (%) is not very helpful, because we don't know what concentration of formaldehyde is formed under these conditions; it would be better to quote in units of concentration, rather than %. This point has been addressed by the authors in the revised version.

(4) Has this particular TMAO demethylase been reported before? It's not clear which Paracoccus strain the enzyme is from; the Experimental Section just says "Paracoccus sp.", which is not very precise. There has been published work on the Paracoccus PS1 enzyme, is that the strain used? Details about the strain are needed, and the accession for the protein sequence. Addressed in the revised version.

Recommendations for the authors:

Reviewer #2 (Recommendations for the authors):

As noted above, there is still a major problem with the proposed mechanism not being feasible, and remaining questions about the presence or absence of a redox-active metal ion in their enzyme. They should:

(1) Re-examine for other metal ions (apart from Zn and Fe) using ICPMS. The redox metal ion could, in theory, be some other transition metal ion.

(2) Seek evidence for the role of metal ions in the activity of this enzyme, for example, by treating with EDTA to remove metal ions, and then adding different metal ions, to correlate activity with a particular metal ion.

We thank the reviewer for these valuable suggestions regarding the metal identity and its functional role in TDM activity. We also acknowledge the reviewer’s concerns regarding the catalytic mechanism. In response, we have substantially revised Scheme 1 and the associated Discussion text to focus on the observed interactions of the substrate (TMAO) and products (DMA and HCHO) within the Zn2+-containing active site, rather than proposing a detailed catalytic mechanism that is not fully supported by the current data.

(1) We repeated the ICP–MS analysis using a wide-range full-scan survey to examine the presence of additional metal-associated isotopes beyond Zn and Fe. The corresponding experimental details have been added to the revised ICP–MS Methods section (Page 9). Full-scan ICP–MS profiling of purified TDM detected Zn as the predominant associated metal species (Author response image 1A). In contrast, signals corresponding to Fe and other transition metals were either undetectable or present only at trace levels comparable to, or lower than, those observed in the digested HNO3 solution control. To further validate this observation, we performed targeted ICP–MS quantification for both Zn and Fe on the same purified samples. These measurements confirmed that Fe was below the detection threshold, whereas Zn was consistently detected at an approximate ratio of 0.5 Zn2+ per protein monomer (Author response image 1B, C, Figure S5).

The observed 0.5 Zn2+-to-protein stoichiometry is consistent with the previously discussed 2 full-length + 2 half-domain (2+2½) assembly. In this complex, only the intact core domains retain the complete metal-binding motif, whereas the truncated half-domains lack the Zn2+-binding region. Consequently, only two metal-binding sites are expected per assembled complex, in agreement with the ICP–MS measurements. We additionally note that Zn2+ was not intentionally supplemented during purification. Based on the current cryo-EM and biochemical data, both metal-binding sites in the full-length subunits appear similarly occupied, with no evidence for asymmetric metal loading.

Importantly, the previously published FEBS Journal model proposed an Fe2+-binding site based on metal analysis and homology modeling rather than direct experimental determination. The residues implicated in Fe2+ binding are well resolved in our experimental maps and do not define a metal-coordination environment compatible with a second mononuclear metal-binding site. Consistent with the ICP–MS results, the experimental structure provides no evidence of a second metal-binding site. Nevertheless, the enzyme remains catalytically active under these conditions.

(2) We attempted metal depletion experiments using EDTA treatment to evaluate the functional role of the bound metal ion. However, removal of metal ions resulted in rapid protein aggregation, preventing subsequent activity measurements. These observations suggest that the bound Zn2+ ion plays an important role in maintaining the structural integrity and stability of the TDM complex. While metal reconstitution experiments would be informative, the aggregation observed following metal depletion precluded a meaningful assessment of alternative metal ions in the current study.

Author response image 1.

Author response image 1.

Associated Data

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

    Data Citations

    1. Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Worldwide Protein Data Bank. [DOI]
    2. Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Worldwide Protein Data Bank. [DOI]
    3. Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Worldwide Protein Data Bank. [DOI]
    4. Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Electron Microscopy Data Bank. EMD-72223
    5. Thach T, Subremanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Electron Microscopy Data Bank. EMD-72239
    6. Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Electron Microscopy Data Bank. EMD-72224

    Supplementary Materials

    Figure 1—figure supplement 1—source data 1. Original, unedited SDS-PAGE gel scan supporting the data presented in Figure 1—figure supplement 1B.
    Figure 1—figure supplement 1—source data 2. Original, unedited SDS-PAGE gel scan supporting the data in Figure 1—figure supplement 1B.

    Molecular weight standards are indicated in kDa; the blue arrow indicates the target trimethylamine N-oxide demethylase (TDM) protein.

    MDAR checklist

    Data Availability Statement

    The three-dimensional cryo-EM density maps and corresponding atomic coordinates for TDM in the apo state and in complex with ligands have been deposited in the Protein Data Bank (PDB) and Electron Microscopy Data Bank (EMDB) under the following accession codes: TDM-apo, EMD-72223/PDB 9Q59; TDM:DMA:HCHO in the presence of THF, EMD-72239/PDB 9Q5L; and TDM(DD):TMAO in the presence of THF, EMD-72224/PDB 9Q5A.

    The following datasets were generated:

    Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Worldwide Protein Data Bank.

    Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Worldwide Protein Data Bank.

    Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Worldwide Protein Data Bank.

    Thach T, Subramanian R. 2026. Cryo-EM structure of Paracoccus Trimethylamine N-oxide Demethylase. Electron Microscopy Data Bank. EMD-72223

    Thach T, Subremanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase in complex with DMA, HCHO. Electron Microscopy Data Bank. EMD-72239

    Thach T, Subramanian R. 2026. Cryo-EM structure of a Paracoccus Trimethylamine N-oxide Demethylase mutant (D220A/D367A)in Complex with TMAO. Electron Microscopy Data Bank. EMD-72224


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES