Abstract
Bacterial nanocompartments, also known as encapsulins, are an emerging class of protein-based ‘organelles’ found in bacteria and archaea. Encapsulins are virus-like icosahedral particles comprising a ~ 25–50 nm shell surrounding a specific cargo enzyme. Compartmentalization is thought to create a unique chemical environment to facilitate catalysis and isolate toxic intermediates. Many questions regarding nanocompartment structure–function remain unanswered, including how shell symmetry dictates cargo loading and to what extent the shell facilitates enzymatic activity. Here, we explore these questions using the model Thermotoga maritima nanocompartment known to encapsulate a redox-active ferritin-like protein. Biochemical analysis revealed the encapsulin shell to possess a flavin binding site located at the interface between capsomere subunits, suggesting the shell may play a direct and active role in the function of the encapsulated cargo. Furthermore, we used cryo-EM to show that cargo proteins use a form of symmetry-matching to facilitate encapsulation and define stoichiometry. In the case of the Thermotoga maritima encapsulin, the decameric cargo protein with fivefold symmetry preferentially binds to the pentameric-axis of the icosahedral shell. Taken together, these observations suggest the shell is not simply a passive barrier—it also plays a significant role in the structure and function of the cargo enzyme.
Subject terms: Biocatalysis, Enzyme mechanisms, Enzymes, Proteins, Structural biology
Introduction
Subcellular compartmentalization is a common strategy to sequester metabolic pathways that may be incompatible with the wellbeing of the rest of the cell. Although compartmentalization was originally thought of as a hallmark feature of eukaryotes, many prokaryotes use proteinaceous compartments to facilitate biochemical reactions. For example, bacterial microcompartments, such as the carboxysome, are formed from hundreds to thousands of copies of numerous different subunits1–3. A new family of bacterial protein compartments, known as encapsulins, are increasingly realized to also occur throughout prokaryotic phyla4. Encapsulins possess a less complex architecture and form smaller compartments than their microcompartment counterparts and are therefore referred to as nanocompartments. Encapsulins are composed of a single type of shell and cargo proteins and are usually limited to around 25–50 nm in diameter5,6. The cargo protein typically has enzymatic function and is often related to redox chemistry7,8.
One example of the redox role within encapsulins is found in the hyperthermophilic bacterium Thermotoga maritima, where the cargo is a ferritin-like protein (FLP). FLPs function like ferritin to sequester soluble iron, Fe(II), from the intracellular environment by oxidation and mineralization in an Fe(III) form. Mineralization prevents soluble iron from spontaneously reacting with reactive oxygen species, as occurs in the Fenton reaction, which can damage the cell. This was shown to be the case for Myxococcus xanthus, which also contains an encapsulin with FLP cargo. Myxococcus xanthus bacteria with a disrupted or deleted encapsulin gene showed significantly lower survival rates following hydrogen peroxide exposure than wildtype9. Alternatively, He et al. demonstrated that FLP-loaded encapsulins can store nearly nine times more iron atoms than apoferritin, suggesting FLP-loaded encapsulins are a cellular iron mega-storage compartment10.
The first extensive biochemical characterization of a nanocompartment was that of the T. maritima encapsulin by Sutter et al.4. This sample was purified from the native host and X-ray crystallographic experiments resolved the 3.1 Å structure of the encapsulin shell as an icosahedron built from 12 pentameric capsomeres (i.e., T = 1 symmetry). Although the cargo was present in the sample, occupancy-related issues precluded determining the FLP cargo structure, save for a C-terminal eight amino-acid sequence that was identified near the fivefold axis of the encapsulin. Follow-up work has shown this peptide is sufficient for cargo targeting11,12. In fact, this mechanism of cargo loading seems to be conserved across most encapsulins, with the cargo–shell interactions varying among the slightly different signal peptides among different encapsulin types. Based on homology modeling and related structures, the FLP cargo was hypothesized to have fivefold symmetry by Sutter, and later confirmed through structure determination by He et al.10. Because the cargo FLP symmetry is fivefold, and there is also a fivefold symmetry axis on the icosahedral shell, it was thought that there may be symmetry-matching that occurs between encapsulin shells and their cargo proteins.
Some groups have characterized the degree of encapsulin loading for large cargo proteins4,8; however, the assumption for a small cargo like FLP is that every binding site is loaded. For FLP this would actually be a 2:1 stoichiometry of FLP monomer:encapsulin protomer because the FLP is a fivefold symmetric decamer that binds to the pentameric shell vertex4,10. For the Brevibacterium linens encapsulin with Dye-decolorizing peroxidase (DyP) activity, only a single cargo protein was encapsulated despite additional space within the shell13,14. However, a recent study of the Mycobacterium smegmatis DyP encapsulin found a minority species of the encapsulin contained a single hexameric DyP cargo while the majority of particles contained a dodecameric DyP complex formed from 2 DyP cargo molecules interacting with one another15. Furthermore, encapsulation of native and non-native cargo appears to cause significant destabilization of the nanocompartment13,14, which may explain the absence of higher cargo loading ratios in many of these systems. Although many attempts have been made to visualize a cargo protein in complex within an encapsulin shell protein, it is likely that the substoichiometry, heterogeneity, and flexibility of the encapsulin–cargo interaction have prevented high-resolution structure determination that accurately resolves the cargo4,5,9,16–19.
To obtain a higher ratio of FLP to encapsulin shell we designed an expression system to maximize FLP production relative to the shell protein. Characterization of this complex by cryo-EM allowed us to successfully resolve the structure of the native cargo protein in complex with the shell protein after symmetry expansion and extensive focused classification. Although the resolution does not allow accurate atomic resolution modelling—helices are defined, and rigid-body docking confirms the symmetry matching of the decameric FLP with the fivefold axis of the shell. Additionally, spectroscopic analysis as well as mass spectrometry confirmed that this T. maritima encapsulin is a flavoprotein that is capable of binding flavins such as flavin mononucleotide (FMN). The high-resolution cryo-EM structure of the shell revealed that an FMN molecule interacts intimately with a tryptophan, W90, between two shell subunits. Thus, the work presented here accurately resolves an FLP cargo in relation to the encapsulin shell and reveals that the T. maritima encapsulin is a flavoprotein.
Results and discussion
The T. maritima encapsulin is a flavoprotein
During purification of the T. maritima encapsulin, fractions containing the encapsulin protein were found to possess a yellow coloration (Fig. 1A,B). Yellow coloration is typical of flavoproteins and suggests that the T. maritima encapsulin may be a flavoprotein20. To test this idea, we compared the absorbance spectrum of purified encapsulins to flavin mononucleotide (FMN) and riboflavin. Both FMN and riboflavin have local maxima at ~ 350 nm and a global maxima at ~ 450 nm, absorption features that are also shared by the T. maritima encapsulin (Fig. 1C). Endogenous encapsulin purified by Sutter et al. from T. maritima also had a yellow coloration, suggesting our observation was not a feature of recombinant expression but a fundamental feature of T. maritima encapsulins4,21. This result strongly supports the claim that T. maritima encapsulins are flavoproteins. Although this is an unexpected finding it has been recently independently proposed from a concurrent structural study22.
The intracellular flavin pool is composed of three major species that vary in size and redox potential—riboflavin, FMN, and flavin adenine dinucleotide (FAD). We sought to identify the specific cofactor bound to the encapsulin shell. As these three molecules are challenging to distinguish by UV–Vis absorbance data, we opted to use mass spectrometry for characterization. Both FMN and riboflavin were present as the major and minor peaks respectively, while no peak for FAD was observed (Fig. S1). Additionally, a lumichrome peak, a common flavin photodegradation product, was observed. Due to variations in ionization efficiencies, it is not possible to conclude the exact flavin composition. Despite the relatively large peak for lumichrome in the MS data, there is clear density in the cryo-EM map for the R-group beyond the flavin aromatic rings, implying the large lumichrome peak is an artifact of the mass spectrometry workflow (Fig. S1). Taken together, these data suggest that encapsulins preferentially bind FMN as well as riboflavin and further confirms that the T. maritima encapsulin purified herein is a flavoprotein.
While free, oxidized flavins have a well-characterized fluorescence profile with excitation at ~ 450 nm and emission at ~ 530 nm, purified T. maritima encapsulin displayed no such fluorescence (Fig. 1D). However, denaturation of the encapsulin sample in 7 M guanidinium chloride resulted in a canonical free flavin fluorescence profile (Fig. 1E). This suggests that the encapsulin quenches bound flavins. In other flavoproteins, fluorescence is often quenched through a π–stacking interaction with tyrosine, phenylalanine, or tryptophan23,24, suggesting that encapsulin flavin binding site possesses an aromatic residue.
The tryptophan at position 90 is necessary for flavin binding, despite poor conservation among all encapsulins
To better characterize the flavin–encapsulin interaction, we determined the cryo-EM structure of the purified encapsulin complex at 3.3 Å resolution (Fig. 2A, Table S1). The overall architecture of the encapsulin shell was markedly similar to the previously determined structure (pdb:3DKT)4. However, upon close examination, there is additional density near W90 that corresponds to a flavin undergoing π–stacking with the tryptophan (Fig. 2B). This same Tryptophan–flavin stacking interaction was also observed in a concurrent structure22.
To probe the importance of the W90 residue for flavin binding, a W90E mutation was made to remove the π–stacking interaction. The W90E mutant encapsulin purified similarly to wild-type T. maritima encapsulins. However, no yellow coloration was observed in the W90E sample during purification, and biochemical experiments revealed no flavin characteristics present for the W90E mutant encapsulin (Fig. 2C,D). A W90A mutation behaved similarly in all biochemical experiments. However, there appeared to be a miniscule amount of residual flavin binding in the W90A mutant as observed in the absorbance data (data not shown). Therefore, the W90E mutant encapsulin was used for all the experiments described herein.
Having identified the flavin binding site for the T. maritima encapsulin, we sought to determine the potential of flavin binding for other homologs. Previous studies of other encapsulins have not noted yellow coloration of purified encapsulins, nor found flavins bound to the encapsulin shell. Interestingly, those encapsulins do not have an aromatic residue corresponding to position 904–7,9. Multiple sequence alignment revealed that most known encapsulins from other organisms do not share this critical tryptophan. In fact, a majority of known encapsulins do not contain an aromatic residue at this position. Of note, all encapsulins with an aromatic residue at position 90 also contain an FLP as their cargo. However, the inverse is not true and not all FLP encapsulins have the W90 residue. Only 35% of known FLP-loaded encapsulins contain W90 (Fig. S2). Surprisingly, almost all the FLP-loaded encapsulins with the W90 residue are from anaerobic organisms, suggesting flavin binding may only be necessary in anaerobic environments.
The FLP cargo protein is flexibly bound within the encapsulin shell
Upon discovering that the T. maritima encapsulin was a flavoprotein, we next sought to better understand the role of the FLP cargo. To obtain a high-resolution structure of the encapsulin shell and fit the flavin molecule, icosahedral symmetry was imposed. However, imposing icosahedral symmetry reduced our ability to interpret the FLP cargo density, even though the cargo FLP was clearly visible in raw micrographs and 2D class averages (Fig. 3A,B). This could be due to sub-stoichiometric amounts of cargo loading (despite the over-expressions scheme in Fig. 1A), flexibility between the cargo FLP and the shell, or both.
As an initial attempt to better visualize the cargo, we carried out an asymmetric C1 reconstruction. The C1 structure showed the presence of cargo, but the density was poorly defined (Fig. 3C). This result supports the idea of either sub-stoichiometric and inconsistent incorporation of cargo (i.e., some particles have 3 FLPs/shell while others have up to 5 FLPs/shell), or flexibility (i.e., each cargo FLP is not in the same exact location relative to the shell or the neighboring FLP; Fig. S3). A small subset of particles appeared to contain 4 FLPs/shell in a tetrahedral style geometry as seen for the Haliangium ochraceum FLP-encapsulin19, but the density remained too weak to resolve accurately. In an attempt to improve the cargo density, signal subtraction was performed to remove signal from the encapsulin shell, which drives the alignment during the reconstruction. This procedure led to improved density for the cargo protein, but still not of enough resolution to identify the orientation or specific location of the cargo protein relative to the shell.
To resolve the structural heterogeneity of the FLP cargo within the encapsulin shell and better identify the interactions governing the FLP-encapsulin assembly, we applied symmetry expansion followed by a focused 3D classification strategy (Fig. S4, see “Materials and methods” section). First, we used the icosahedral symmetry of the encapsulin to place all 12 of the pentameric vertices of the shell—and their associated FLP cargo—into the same 3D location (Fig. S4). Next, we performed alignment-free 3D classification of that single location. This strategy significantly improved the resolution of the FLP (Fig. 4A). While still not high enough to build an atomic model, this resolution allowed us to rigid-body dock a crystal structure of a homologous decameric FLP previously reported (Fig. 4B,C)10.
Upon resolving the FLP density, the FLP cargo symmetry was found to match the symmetry axis of the shell. The interactions between the cargo and shell are somewhat flexible, as permitted by the flexible attachment of the known 8 amino acid signal sequence and the main body of the FLP (Fig. 4D,E). The FLP, which is a decamer of heterodimers with fivefold symmetry, is roughly aligned over the fivefold axis of the icosahedron. Although this has been intuitively assumed in the previous literature, our structural analysis offers proof of this symmetry matching by providing a structure of both the shell and cargo together. However, due to cargo size and spatial constraints, not all the cargo FLPs maintain this symmetry-matched orientation when there are many FLPs inside the encapsulin shell. Steric occlusion appears to distribute the FLP cargos in a more space-filling orientation, while the strongest density persists at one of the pentameric axes of the shell. Based on our finding, we speculate that the threefold symmetry of the dye-decolorizing peroxidase (DyP) cargo mentioned briefly in the introduction and found in related encapsulins should bind the threefold axis of the shell. However, a concurrent structural study of the Mycobacterium smegmatis DyP encapsulin appears to have the most defined cargo density positioned proximal to the fivefold axis of the shell rather than the threefold axis15. Without an abundance of structural data on diverse encapsulins, it remains unclear what role symmetry plays in the cargo–shell interaction. Nevertheless, most viruses, encapsulins, and related icosahedral structures often use the fivefold, twofold, or threefold axis as a pore to regulate the permeability of the compartment6, so localizing cargo proteins to these axes and pores likely has some biological significance.
The role of FLP cargo and flavin binding within encapsulins
Encapsulins that package FLP do so in order to regulate iron within the cell. Like ferritin, it is thought that these FLP-encapsulins can oxidize soluble ferrous iron and store it within the encapsulin compartment as a mineralized insoluble ferric oxide core4,9,10. The oxidation of iron requires the transfer of an electron from iron to an acceptor. Although this acceptor is often molecular oxygen, a flavin bound to the shell could also serve as an electron acceptor. To investigate the role flavin may play in the ferroxidase activity of this encapsulin we compared iron storage capabilities in both the WT FLP-encapsulin, and the W90E mutant lacking the flavin. However, iron mineralization assays under aerobic conditions showed no significant difference between the flavin-bound encapsulin and the W90E mutant without flavin (Fig. 5B). Given that T. maritima is an anaerobic fermentative chemoorganotrophic organism, we also performed the iron storage assays under anaerobic conditions. There was no significant difference between the encapsulins with or without the flavin in either aerobic or anaerobic conditions tested (Fig. S5).
Alternatively, the flavin could serve to help mobilize iron if the role of these encapsulins is to release iron when necessary. Under the anaerobic conditions tested, there was also no clear difference between WT-encapsulin and W90E-encapsulin in an iron release assay (Fig. 5C,D). In this assay, encapsulins are pre-loaded with an iron core under anaerobic conditions (see “Materials and methods” section, Ferroxidase Assays), and the release of iron was observed by monitoring absorbance. Although these data are negative, the presence of a flavin moiety adjacent to the FLP is suggestive of function and a role may yet be revealed through additional investigation.
A related observation is that the symmetry-expanded structure indicates that the active site of the FLP is ~ 45 Å away from the shell-bound flavin, on average (Fig. 5A). The symmetry matching and 8 amino acid C-terminal signal sequence that tethers the cargo to the shell likely restrains this distance. However, flexibility may allow for the FLP to occasionally sample distances closer or farther from the shell. Unfortunately, further classification was unsuccessful in resolving classes of cargo in any different orientation. Previous structural data suggests that redox donor and acceptor moieties in a protein are typically within 14 Å25. Given our cargo–loaded encapsulin structure and this data, it is highly unlikely that this flavin would be the only acceptor involved in iron mineralization. One possibility is that there is a network of aromatics that help shuttle electrons between the flavin and the FLP active site, although the long distances observed in our structure may prohibit this (Fig. S6). Another possibility is that there is a shuttling molecule between the active site and the shell-bound flavin, as has been shown for other ferritin-like systems26.
Further investigation is necessary to understand the role of this flavin moiety proximal to the FLP cargo for the T. maritima encapsulin. One aspect of this system worth consideration is that T. maritima is an anaerobic fermentative chemoorganotrophic bacterium. The aerobic conditions used for the iron mineralization assays may allow much higher molecular oxygen as the acceptor molecule than the encapsulin system would otherwise experience naturally. Under cellular anaerobic conditions, the FMN may serve a more pivotal role. In searching for other encapsulins that share the flavin–binding tryptophan residue, almost all the W90 containing encapsulins came from anaerobic organisms indicating that flavin binding may only be necessary in anaerobic environments. As such, more nuanced experiments are necessary before any claims are made. Another hypothesis is that there may be an unknown auxiliary protein factor involved in electron transport. For example, the Pseudomonas aeruginosa bacterioferritin systems also contain a protein known as bacterioferritin-associated ferredoxin27. These ferredoxins bind iron–sulfur clusters, are upregulated 200-fold in response to a low iron environment and are required to liberate any iron from within the bacterioferritin compartments27. A similar undiscovered factor may also play a role within the T. maritima FLP-containing encapsulins, which will require further investigation.
Materials and methods
Construction of the T. maritima shell and cargo plasmid
The construct for the T. maritima encapsulin shell and FLP-cargo genes was cloned as described previously12 with a few exceptions. The encapsulin shell gene was ordered and codon optimized for E. coli from Genewiz. The FLP-cargo gene was ordered from IDT as a gBlock that was codon optimized for E. coli expression and included a His6-tag for purification. First, the shell gene was cloned into a pET14 vector followed by the FLP-cargo gene upstream with a higher affinity ribosome binding site (Fig. 1A). The rationale for the higher RBS was to maximize the amount of cargo that was expressed and subsequently encapsulated within the shell. For the introduction of the W90E mutation within the shell, quick-change mutagenesis was performed to introduce the site-specific mutation. All constructs were transformed into DH5α cells for plasmid amplification and sequence verification.
Protein purification
The purification for all constructs except FLP was adapted from a previous study12. For expression, the pET14 vector containing the encapsulin shell and/or FLP-cargo gene were transformed into BL21(DE3) cells and grown in Terrific Broth media at 37 °C. Once the cells grew to and OD600nm = 0.3, the cells were cooled to 18 °C and induced with 500 µM IPTG and grown for ~ 16 h. Cells were harvested by centrifugation at 4000 rpm at 4 °C for 20 min and frozen at − 20 °C until purified.
The cell pellet was thawed and resuspended in buffer A (50 mM Tris–HCl, pH 7.4, 150 mM NaCl, and 5 mM 2-mercaptoethanol). Resuspended cells were then incubated at room temperature (RT) for 15 min in the presence of 100 μg RNase A, 10U DNase, 1 mM MgCl2, and 2 mg lysozyme. Cells were lysed by sonication and the lysate was clarified by centrifugation in a JA-20 rotor at 22,500 g for 20 min. Following clarification, the supernatant was collected and placed in an 80 °C incubator for 3 h. The supernatant was centrifuged in a JA-20 rotor at 25,000 g for 25 min to pellet aggregated protein. Following the spin, the supernatant was collected, and ammonium sulfate was added to a final concentration of 35%. After a 30 min RT incubation, precipitated protein was removed by centrifugation in a JS-5.3 rotor at 6800 g for 20 min. The supernatant was collected, and ammonium sulfate was again added to reach a final concentration of 75%. The supernatant was incubated for 30 min at RT and precipitated proteins were pelleted by centrifugation in a JS-5.3 rotor at 6800 g for 25 min. The supernatant was discarded, and the pellet was resuspended with buffer A. The resuspended protein was dialyzed into buffer B (20 mM Tris–HCl, pH 7.4, 150 mM NaCl and 5 mM 2-mercaptoethanol) to remove any remaining ammonium sulfate. Dialyzed protein was centrifuged in a type 50.2 Ti rotor at 125,000 g for 3 h to pellet the nanocompartments. The pellet was resuspended in buffer A and loaded onto a Superose 6 10/300 GL column equilibrated with buffer C (50 mM Tris–HCl, pH 7.4 and 150 mM NaCl). Unless otherwise indicated, all Superose 6 columns were run at 0.5 mL/min. Fractions containing assembled encapsulins were collected and concentrated with a Vivaspin 6 (100 kDa MWCO) concentrator. Purified protein was supplemented with glycerol (10% final concentration), flash frozen in liquid N2, and stored at − 80 °C until needed.
FLP was purified by nickel immobilized metal ion affinity chromatography (IMAC). Cell pellets were resuspended in 50 mM Tris–HCl, pH 7.4, 150 mM NaCl, and 10 mM imidazole, and incubated at RT for 15 min in the presence of 100 μg RNase A, 10U DNase, 1 mM MgCl2, and 2 mg lysozyme. Cells were lysed by sonication and the lysate was clarified by centrifugation in a JA-20 rotor at 40,000 g for 25 min. Cleared lysate was incubated with Ni-nitrilotriacetic acid (NTA) resin from Qiagen for 1 h at RT. The resin was washed with 20 resin volumes of 50 mM Tris–HCl, pH 7.4, 500 mM NaCl, and 10 mM imidazole followed by 20 resin volumes of 50 mM Tris–HCl, pH 7.4, 150 mM NaCl, and 30 mM imidazole. Bound FLP was eluted with 3 resin volumes of 50 mM Tris–HCl, pH 7.4, 150 mM NaCl, and 350 mM imidazole. The Ni–NTA elute was dialyzed into buffer B, concentrated with a Vivaspin 6 (10 kDa MWCO), and loaded onto a Superose 6 column equilibrated with buffer C. Fractions containing FLP were collected and concentrated with a Vivaspin 6 (10 kDa MWCO) concentrator. Purified protein was supplemented with glycerol (10% final concentration), flash frozen in LN2, and stored at − 80 °C until needed.
Absorbance and fluorescence spectroscopy measurements
All absorption spectra were acquired in a Cary 50 Bio UV–Visible spectrophotometer. Each purified protein or metabolite was diluted to 20 μM in a buffer containing 150 mM NaCl and 50 mM Tris–HCl pH 7.4. Samples were placed in a Fisher brand quartz cuvette, and the absorbance was collected from 600 to 200 nm on the slowest scan speed.
Fluorescence emission spectra were collected on a Tecan Infinite M1000 PRO spectrophotometer. For native fluorescence, each protein was diluted to 20 μM and each metabolite was diluted to 2 μM in a buffer of 150 mM NaCl and 50 mM Tris–HCl pH 7.4. Samples were excited at 450 nm with a 5 nm bandwidth. Emission data was collected from 500 to 600 nm in 1 nm steps with a 5 nm bandwidth. All samples were measured in triplicate and plotted with Datagraph as the mean value ± standard deviation. For denatured fluorescence, each protein and metabolite were diluted as above (20 μM and 2 μM, respectively) plus 7 M guanidine hydrochloride (GuHCl). Measurements, parameters, and plotting were identical for the both the denatured and native fluorescence samples.
Mass spectroscopy
Purified encapsulins were analyzed by LC–MS. The sample was buffer exchanged into water and then injected onto a Waters XBridge C18 column with an Agilent Infinity 1260 HPLC. The sample was eluted with a gradient of water to acetonitrile both supplemented with 0.1% formic acid. Mass analysis was performed with an Agilent 6500 Q-TOF operated in positive ion mode. The organic solvent denatures the encapsulin particles on the column thus releases the bound flavin species.
Cryo-EM sample preparation and data collection
Samples were prepared on Protochips CFlat 1.2/1.3-T grids. Grids were glow discharged on a Tergeo Plasma cleaner prior to use. A frozen aliquot of the T. maritima encapsulin was diluted to 2 mg/mL in the same buffer as used for size exclusion (20 mM NaPO4 pH 7.5, 50 mM NaCl) to remove the 10% glycerol cryoprotectant used during freezing the aliquots. The 2 mg/mL sample was supplemented with 0.05% NP-40 to aid in ice uniformity throughout the cryo-EM grid. 4 uLs of sample were applied to the grid, and immediately plunge-frozen in liquid ethane using a Vitrobot Mark IV (blot force 10, 2 s blot, 100% humidity 4 °C). The grid was then loaded into a Gatan 626 side entry holder and inserted into a low-base Titan microscope operating at 300 keV. 1265 micrographs were collected using a Gatan K2 in counting mode at a pixel size of 0.82 Å and a total electron dose of 60e−/Å2.
Data processing and atomic model refinement
Data was processed within the RELION/3.1 pipeline28. Individual frames were aligned with MotionCorr229 and defocus estimation was performed using CTFFIND430. Roughly 1000 particles were manually picked and 2D classification was performed to generate templates for auto-picking within RELION. Initially 86,124 particles were extracted. Two rounds of 2D classification were performed, followed by a round of 3D classification resulting in 38,952 particles in the final reconstruction, which was performed with I1 symmetry. The reconstruction was subjected to multiple iterations of CTF refinement and Bayesian polishing within RELION31, ultimately yielding a high-resolution structure for the shell31. The previously determined shell structure (pdb:3DKT) was used as an initial model, and phenix.real_space_refine32 was used to refine the coordinates of 1 subunit surrounded by its nearest neighbors and with FMN bound. The single ASU was used for the model for the FSCmodel-vs-map, and Chimera was used to create the icosahedral biological matrix. Unfortunately, the symmetrization averaged out the sub-stoichiometric cargo density and therefore did not allow for visualization of the FLP. A C1 reconstruction revealed modest density for the FLP (Fig. S4). Signal subtraction and re-refinement improved the FLP cargo density only slightly. Therefore, symmetry expansion and focused classification were performed as described previously18,33. The process yielded a much-improved density for the FLP cargo protein where we were able to unambiguously rigid-body dock the FLP crystal structure (pdb:5DA5)10.
Ferroxidase (iron storage) assays
Purified protein was diluted in a buffer of 50 mM Acetate, pH 6.0 and 30 mM NaCl. FLP loaded WT encapsulin and FLP loaded W90E encapsulin were diluted to 20 μM of FLP. Ammonium ferrous sulfate (2.5 mM) was prepared anaerobically in 0.1% HCl. The ferrous iron was diluted ten-fold into the protein, mixed, and then immediately loaded into a Cary 50 Bio UV–Visible spectrophotometer. Absorbance at 310 nm was collected every second for 30 min. To normalize between all the samples, the initial 310 nm absorbance value was set as the 0-absorbance value. Data was plotted using Datagraph.
Iron release assays
Reduced FMN, FMNH2, was generated by mixing FMN and NADH anaerobically and incubating overnight. Purified protein was diluted in a buffer of 150 mM NaCl and 50 mM Tris–HCl pH 7.4 and made anaerobic by purging with a H2:N2 gas mixture. Anaerobic 1,10 phenanthroline (750 μM final concentration) and FMNH2 (25 μM or 250 μM) were added to the sample. Iron release was monitored by the gain in absorbance at 510 nm in a Tecan M200 plate reader.
Supplementary Information
Acknowledgements
We would like to thank the Coates lab for help with the anaerobic iron release assays, Patricia Grob for EM support, and Abhiram Chintangal for computer support. Thanks to BG for assistance with data processing and analysis.
Author contributions
Conceptualization—B.J.L., C.C.A., D.F.S. Methodology—B.J.L., C.C.A., L.M.O., D.F.S. Investigation—B.J.L., C.C.A., R.J.N., L.M.O. Supervision—E.N., D.F.S. Writing—original draft: B.J.L., D.F.S. Writing—review and editing: B.J.L., C.C.A., R.J.N., L.M.O., E.N., D.F.S.
Funding
U.S. Department of Energy Grant DE-SC00016240 (DFS). National Science Foundation GRFP 1106400 (BJL). EN is a Howard Hughes Medical Institute Investigator.
Data availability
The PDB for the FMN-encapsulin shell structure can be found at PDB-7MU1 with the corresponding map at EMD-24001. The map for the symmetry-expanded and classified FLP-cargo can be found at EMD-24002, which also contains a supplementary map for the original C1 reconstruction.
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.
These authors contributed equally: Benjamin J. LaFrance and Caleb Cassidy-Amstutz.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-021-01932-w.
References
- 1.Chowdhury C, Sinha S, Chun S, Yeates TO, Bobik TA. Diverse bacterial microcompartment organelles. Microbiol. Mol. Biol. Rev. 2014;78:438–468. doi: 10.1128/MMBR.00009-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kerfeld CA, Heinhorst S, Cannon GC. Bacterial microcompartments. Annu. Rev. Microbiol. 2010;64:391–408. doi: 10.1146/annurev.micro.112408.134211. [DOI] [PubMed] [Google Scholar]
- 3.Yeates TO, Thompson MC, Bobik TA. The protein shells of bacterial microcompartment organelles. Curr. Opin. Struct. Biol. 2011;21:223–231. doi: 10.1016/j.sbi.2011.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sutter M, et al. Structural basis of enzyme encapsulation into a bacterial nanocompartment. Nat. Struct. Mol. Biol. 2008;15:939–947. doi: 10.1038/nsmb.1473. [DOI] [PubMed] [Google Scholar]
- 5.Giessen TW, et al. Large protein organelles form a new iron sequestration system with high storage capacity. Elife. 2019;8:e46070. doi: 10.7554/eLife.46070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nichols RJ, Cassidy-Amstutz C, Chaijarasphong T, Savage DF. Encapsulins: Molecular biology of the shell. Crit. Rev. Biochem. Mol. Biol. 2017;52:583–594. doi: 10.1080/10409238.2017.1337709. [DOI] [PubMed] [Google Scholar]
- 7.Ahmad M, et al. Identification of DypB from Rhodococcusjostii RHA1 as a lignin peroxidase. Biochemistry. 2011;50:5096–5107. doi: 10.1021/bi101892z. [DOI] [PubMed] [Google Scholar]
- 8.Rahmanpour R, Bugg TDH. Assembly in vitro of Rhodococcusjostii RHA1 encapsulin and peroxidase DypB to form a nanocompartment. FEBS J. 2013;280:2097–2104. doi: 10.1111/febs.12234. [DOI] [PubMed] [Google Scholar]
- 9.McHugh CA, et al. A virus capsid-like nanocompartment that stores iron and protects bacteria from oxidative stress. EMBO J. 2014;33:1896–1911. doi: 10.15252/embj.201488566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.He D, et al. Structural characterization of encapsulated ferritin provides insight into iron storage in bacterial nanocompartments. Elife. 2016;5:e18972. doi: 10.7554/eLife.18972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Moon H, Lee J, Min J, Kang S. Developing genetically engineered encapsulin protein cage nanoparticles as a targeted delivery nanoplatform. Biomacromol. 2014;15:3794–3801. doi: 10.1021/bm501066m. [DOI] [PubMed] [Google Scholar]
- 12.Cassidy-Amstutz C, et al. Identification of a minimal peptide tag for in vivo and in vitro loading of encapsulin. Biochemistry. 2016;55:3461–3468. doi: 10.1021/acs.biochem.6b00294. [DOI] [PubMed] [Google Scholar]
- 13.Snijder J, et al. Assembly and mechanical properties of the cargo-free and cargo-loaded bacterial nanocompartment encapsulin. Biomacromol. 2016;17:2522–2529. doi: 10.1021/acs.biomac.6b00469. [DOI] [PubMed] [Google Scholar]
- 14.Llauró A, et al. Cargo–shell and cargo–cargo couplings govern the mechanics of artificially loaded virus-derived cages. Nanoscale. 2016;8:9328–9336. doi: 10.1039/C6NR01007E. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tang Y, et al. Cryo-EM structure of Mycobacteriumsmegmatis DyP-loaded encapsulin. Proc. Natl. Acad. Sci. U.S.A. 2021;118:e2025658118. doi: 10.1073/pnas.2025658118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Xiong X, et al. Cryo-EM structure of heterologous protein complex loaded Thermotogamaritima encapsulin capsid. Biomolecules. 2020;10:1342. doi: 10.3390/biom10091342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Putri RM, et al. Structural characterization of native and modified encapsulins as nanoplatforms for in vitro catalysis and cellular uptake. ACS Nano. 2017;11:12796–12804. doi: 10.1021/acsnano.7b07669. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Nichols RJ, et al. Discovery and characterization of a novel family of prokaryotic nanocompartments involved in sulfur metabolism. BioRxiv. 2020 doi: 10.1101/2020.05.24.113720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ross J, et al. Pore dynamics and asymmetric cargo loading in an encapsulin nanocompartment revealed by Cryo-EM and hydrogen/deuterium exchange mass spectrometry. BioRxiv. 2021 doi: 10.1101/2021.04.15.439977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Williams RE, Bruce NC. ’New uses for an old enzyme’–the old yellow enzyme family of flavoenzymes. Microbiology (Reading, Engl.) 2002;148:1607–1614. doi: 10.1099/00221287-148-6-1607. [DOI] [PubMed] [Google Scholar]
- 21.Sutter M. Structural basis of enzyme encapsulation into a bacterial nanocompartment. ETH Zurich. 2008 doi: 10.3929/ethz-a-005714404. [DOI] [PubMed] [Google Scholar]
- 22.Wiryaman T, Toor N. Cryo-EM structure of a thermostable bacterial nanocompartment. IUCrJ. 2021;8:342–350. doi: 10.1107/S2052252521001949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zhou Z, Swenson RP. The cumulative electrostatic effect of aromatic stacking interactions and the negative electrostatic environment of the flavin mononucleotide binding site is a major determinant of the reduction potential for the flavodoxin from Desulfovibriovulgaris [Hildenborough] Biochemistry. 1996;35:15980–15988. doi: 10.1021/bi962124n. [DOI] [PubMed] [Google Scholar]
- 24.Hamdane D, Bou-Nader C, Cornu D, Hui-Bon-Hoa G, Fontecave M. Flavin–protein complexes: Aromatic stacking assisted by a hydrogen bond. Biochemistry. 2015;54:4354–4364. doi: 10.1021/acs.biochem.5b00501. [DOI] [PubMed] [Google Scholar]
- 25.Page CC, Moser CC, Chen X, Dutton PL. Natural engineering principles of electron tunnelling in biological oxidation–reduction. Nature. 1999;402:47–52. doi: 10.1038/46972. [DOI] [PubMed] [Google Scholar]
- 26.MacKenzie EL, Iwasaki K, Tsuji Y. Intracellular iron transport and storage: From molecular mechanisms to health implications. Antioxid. Redox Signal. 2008;10:997–1030. doi: 10.1089/ars.2007.1893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Weeratunga SK, et al. Binding of Pseudomonasaeruginosa apobacterioferritin-associated ferredoxin to bacterioferritin B promotes heme mediation of electron delivery and mobilization of core mineral iron. Biochemistry. 2009;48:7420–7431. doi: 10.1021/bi900561a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zivanov J, et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. Elife. 2018;7:e42166. doi: 10.7554/eLife.42166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zheng SQ, et al. MotionCor2: Anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods. 2017;14:331–332. doi: 10.1038/nmeth.4193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rohou A, Grigorieff N. CTFFIND4: Fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 2015;192:216–221. doi: 10.1016/j.jsb.2015.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zivanov J, Nakane T, Scheres SHW. A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis. IUCrJ. 2019;6:5–17. doi: 10.1107/S205225251801463X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Adams PD, et al. PHENIX: A comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Zhou M, et al. Atomic structure of the apoptosome: Mechanism of cytochrome c- and dATP-mediated activation of Apaf-1. Genes Dev. 2015;29:2349–2361. doi: 10.1101/gad.272278.115. [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
Data Availability Statement
The PDB for the FMN-encapsulin shell structure can be found at PDB-7MU1 with the corresponding map at EMD-24001. The map for the symmetry-expanded and classified FLP-cargo can be found at EMD-24002, which also contains a supplementary map for the original C1 reconstruction.