AMR is a global problem, especially for TB. Here, we show that mycobacterial chaperones support AMR in M. smegmatis, a nonpathogenic model of M. tuberculosis, the causative agent of TB.
KEYWORDS: DnaK, antimicrobial resistance, mycobacteria, protein chaperone
ABSTRACT
Chaperones aid in protein folding and maintenance of protein integrity. In doing so, they have the unique ability to directly stabilize resistance-conferring amino acid substitutions in drug targets and to counter the stress imparted by these substitutions, thus supporting heritable antimicrobial resistance (AMR). We asked whether chaperones support AMR in Mycobacterium smegmatis, a saprophytic model of Mycobacterium tuberculosis, the causative agent of tuberculosis (TB). We show that DnaK associates with many drug targets and that DnaK associates more with AMR-conferring mutant RNA polymerase (RNAP) than with wild-type RNAP. In addition, frequency-of-resistance (FOR) and fitness studies reveal that the DnaK system of chaperones supports AMR in antimicrobial targets in mycobacteria, including RNAP and the ribosome. These findings highlight chaperones as potential targets for drugs to overcome AMR in mycobacteria, including M. tuberculosis, as well as in other pathogens.
INTRODUCTION
Antimicrobial resistance (AMR) is a threat to public health. Globally, at least 700,000 people per year die from an infection with an organism harboring AMR, and it is estimated that in 30 years, that number will be 10 million (1). In the United States alone, more than 2 million people are infected with a bacterium that is resistant to at least a first-line drug (2). AMR is a concern for those infected with Mycobacterium tuberculosis: about 0.5 million people develop multidrug-resistant (MDR) tuberculosis (TB) annually, and about 9.5% of MDR-TB patients have extensively DR (XDR) TB. Thus, resistance may make the world’s most deadly infectious disease even more deadly. These numbers force an evaluation of the factors that support the fitness of bacteria harboring AMR.
Antimicrobials often inhibit enzymes that catalyze essential cellular processes. This selection pressure leads to emergence of mutants that avoid activating the compound, modify the compound, efflux it, overexpress its target, or change an amino acid in the target that reduces binding of the compound, or it selects for horizontal gene transfer of resistance-encoding genes, etc. The mutations that confer resistance to antimicrobials provide a selective advantage in the presence of the drug but can also lead to protein instability or altered enzyme activity. These mutant enzymes impose an additional stress on the cell, sometimes resulting in reduced fitness of the microorganism in vitro and in vivo (3) in the absence of the drug. However, microorganisms harboring AMR mutations are ipso facto fit enough to survive and divide. In some cases, compensatory mutations ameliorate fitness costs of AMR (4, 5), but there may be a general mechanism in wild-type bacteria that alleviates the fitness cost of AMR.
In 2005, Cowen and Lindquist showed that the eukaryotic protein chaperone Hsp90 plays a role in mediating AMR in diverse fungi (6). When Hsp90 expression was reduced or when its activity was chemically inhibited, resistance to antimicrobials was decreased. This is just one way that chaperones from organisms as diverse as bacteria, yeasts, plants, fruit flies, fish, and humans can buffer genomic diversity (6–13). In Drosophila, genetic depletion of Hsp90 or its chemical inhibition led to increased genesis of deformed flies (10). In cave fish, similar intervention results in variations in eye size and even loss of eyes (12). Hsp90 also binds to and helps to fold, stabilize, and activate oncogenic mutant regulators, including v-Src (14, 15), as well as other mutant proteins associated with disease states (16), like FANCA of the Fanconi anemia DNA repair pathway in human cells (13). Chaperones can act globally (stress response) and locally (stabilization of mutant proteins) to maintain cell fitness.
In bacteria, the Hsp90 homolog HtpG plays a less clear role in cell physiology, and only the protein chaperones DnaK (Hsp70 homolog) and GroEL (Hsp60 homolog) have been shown to enable genomic diversity (7–9, 17–21). Overexpression of the groE operon in Escherichia coli increased the fitness of strains that had accumulated mutations (7, 17), and deletion of E. coli DnaK slowed resistance evolution to tetracycline (21). When dinB, encoding an error-prone DNA polymerase, was expressed in Salmonella enterica serovar Typhimurium, levels of DnaK and GroEL increased in lineages with high mutational burdens (9). These findings suggest that protein chaperones, particularly DnaK and GroEL, maintain the fitness of bacteria with mutations. To our knowledge, however, the role of protein chaperones in supporting the fitness of mycobacteria with mutations that result in AMR has not been explored.
DnaK plays a key role in native protein folding in Mycobacterium smegmatis (22), and protein-folding activity has been reconstituted in vitro with M. tuberculosis DnaK and its cochaperones DnaJ1 and DnaJ2 (22, 23). M. smegmatis, a saprophytic mycobacterium, shares mechanisms of resistance similar to those of M. tuberculosis to many anti-TB drugs, so we used it as a model to study AMR in mycobacteria. Herein, we show that the DnaK system (chaperone DnaK and cochaperones DnaJ1 and DnaJ2) in mycobacteria supports AMR. M. smegmatis harboring a mutation in rpoB, the target of the first-line TB drug rifampin (RIF), has a dramatic fitness defect when the DnaK cochaperone DnaJ2 is absent. This is also true when the M. smegmatis rpoB allele is replaced with a RIF resistance-conferring rpoB allele from M. tuberculosis. We show that DnaK associates more with mutant RpoB than with wild-type RpoB, suggesting that the DnaK system may support RIF resistance by directly stabilizing this mutant RNA polymerase (RNAP). Additionally, M. smegmatis harboring a mutation in rpsL (streptomycin [SM] target) has a fitness defect when DnaJ2 is absent. Our work confirms a role for the DnaK system in supporting heritable AMR in mycobacteria and provides a rationale for studying the role of protein chaperones in enabling AMR in M. tuberculosis as well as other pathogens.
RESULTS
Essential proteins are clients of the DnaK system in mycobacteria.
DnaK plays a key role in native protein folding in M. smegmatis, where the protein is essential (22). To understand why the DnaK system is essential, we identified clients and cochaperones of DnaK by stable isotope labeling with amino acids in cell culture (SILAC) with a M. smegmatis lysine auxotroph expressing 10His-DnaK or 10His-mCherry. These strains also contained a small deletion at the 3′ end of groEL2 yielding a deletion of the histidine-rich stretch of the GroEL2 C terminus. This deletion prevents copurification of GroEL2 with His-tagged proteins without noticeably impacting the growth of the parent strain (24). In three experiments, SILAC reproducibly yielded 103 potential interactors of DnaK (Table 1; also, see Table S1 in the supplemental material). These proteins were enriched (>1.5 ratio) in 10His-DnaK samples compared to the 10His-mCherry control samples. This protein list includes potential clients and cochaperones and corroborates work done in our lab showing that protein complexes and proteins involved in cell wall biosynthesis are clients for DnaK (22). Unlike similar experiments performed in E. coli (25), M. smegmatis DnaK associated with many essential clients, suggesting that it is a key protein-folding machine in mycobacteria, consistent with its genetic essentiality. Notably, several identified clients are either antimicrobial targets or in pathways inhibited by antimicrobials (Table 1).
TABLE 1.
Selected proteins identified in SILAC experiments as interacting with M. smegmatis DnaKa
| Protein | General biological process |
|---|---|
| FtsZ | Septum assembly, cytokinesis |
| IlvD, Ask, SerA, MetH | Amino acid biosynthesis |
| MurG, GlmU, UmaA, AcpM, DesA2 | Cell wall (β-lactams, INH, ETA) |
| TopA, TopoNb | DNA topology (FQ) |
| DnaE1, HspR, HrcA, MtrA, MSMEG_6757, 3193a, 5696 | Polymerase/transcription factors/DNA binding |
| RpoCc, RpoDc, RpoZc | RNA polymerase (RIF) |
| RplA, -N, -W, -Q, -K, -L, -F, -X, -D, -I, -Y, -S, -C, -U, -J, RpsP, -T, -F, -I, -Q, -A, Ffh, PrfCb | Translation (aminoglycosides, CAP) |
| GrpE, GroES, GroEL2, GroEL1, Tig | Protein folding |
| ClpC1, ClpP | Protein degradation |
| PptT | Phosphopantetheinyl transferase |
| AhpC | Cell redox homeostasis (INH activation) |
See Table S1 for full list. Essential proteins (M. tuberculosis homologs, as in http://tuberculist.epfl.ch) are in bold and proteins in pathways of antimicrobial action are underlined. The experiment was completed three independent times. INH, isoniazid; ETA, ethionamide; FQ, fluoroquinolone; RIF, rifampin; CAP, capreomycin.
Not present in M. tuberculosis.
Identified in two of three SILAC experiments.
Full list of proteins identified in SILAC experiments as interacting with M. smegmatis DnaK. Download Table S1, XLSX file, 0.02 MB (25.3KB, xlsx) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
If the identified proteins were clients of DnaK, then depletion of DnaK might result in loss of client protein solubility due to destabilization or folding defects. Several components of RNAP were identified in two of three SILAC experiments (Table S1), so we tested whether the DnaK system stabilizes one of the essential proteins in the RNAP complex, RpoB. We depleted DnaK using our anhydrotetracycline (ATC)-regulated dnaK depletion strain of M. smegmatis (22), fractionated the lysates from DnaK-depleted and -replete cells, and analyzed RpoB by immunoblotting. RpoB accumulated in the pellet/insoluble fraction upon DnaK depletion (Fig. 1), confirming that this essential protein required the mycobacterial DnaK system for stability.
FIG 1.
DnaK stabilizes RpoB. Fractionated lysates of M. smegmatis dnaK depletion strain (MGM6005) in the presence (+ATC, dnaK expression) and absence (−ATC, dnaK depletion) of ATC. Lysates probed with anti-RpoB (top) or anti-DnaK (bottom). (Left) Unfractionated lysate (total); (middle) soluble fraction; (right) insoluble fraction (pellet). The numbers under the anti-RpoB pellet bands indicate the ImageJ quantitation as a percentage of the total in this experiment; the average fold increase in RpoB in the pellet (−DnaK/+DnaK) is 3.6. The experiment was performed at least three independent times; a representative image is shown.
The DnaK system buffers the fitness defect of a RIF resistance-conferring AMR mutation in M. smegmatis.
In the DnaK SILAC experiment, three subunits of RNAP associated with DnaK, as well as phosphopantetheinyl transferase, PptT, suggesting that DnaK may play a role in promoting folding and/or stability of these proteins. For these reasons, we tested the frequency of resistance (FOR) of our M. smegmatis dnaK depletion strain (22) to RIF, whose target is RpoB of RNAP, and to 8918, a compound that was identified in a high-throughput screen and found to target PptT (26). We hypothesized that if DnaK is required for folding and/or maintaining stability of the wild-type proteins, then reduced DnaK levels may destabilize mutant proteins further, put additional stress on the cell, and therefore affect the FOR. The FOR to RIF correlated with the levels of DnaK: elevated DnaK levels led to high FOR; reducing DnaK levels resulted in ∼6-fold-lower FOR (Fig. 2A). This trend was not observed with the compound 8918 (2 × 10−7 FOR for both high and low DnaK), perhaps because 90% of resistance-conferring mutations to this compound were not in PptT but in an adjacent gene that regulates the same pathway (26). The product of the adjacent gene, PptH, was not identified as a DnaK-interacting protein by SILAC. As opposed to FOR, the level of DnaK did not alter M. smegmatis’s susceptibility to RIF or 8918: the MIC and the number of CFU at 2× MIC were the same for each strain (Fig. S1; Table S2). Thus, loss of DnaK specifically affects the evolution of resistance, not the MIC for mycobacteria to the antimicrobials.
FIG 2.
The DnaK chaperone system supports resistance to RIF in M. smegmatis. (A) Frequency of resistance (FOR) to RIF for the DnaK depletion strain. High DnaK, cells grown in 25 ng/ml ATC; low DnaK, cells grown in 0.78 ng/ml ATC (see Fig. S1). (B) FOR to RIF for wild-type M. smegmatis and M. smegmatis lacking DnaJ1 or DnaJ2. The ΔdnaJ2 strain gave no colonies on RIF at 200 μg/ml; the line indicates the LOD at 5.4 × 10−10. (C) FOR to RIF for wild-type M. smegmatis, M. smegmatis lacking DnaJ2, and M. smegmatis lacking DnaJ2 expressing dnaJ2H32Q or dnaJ2. ΔdnaJ2 and ΔdnaJ2 strains expressing dnaJ2H32Q gave no colonies on RIF at 200 μg/ml; lines denote LOD of 6.2 × 10−11 (ΔdnaJ2) and 1.4 × 10−10 (ΔdnaJ2 attB::J2H32Q). Data are means and standard errors of the means (SEM) from three independent experiments. Statistical significance was calculated by using Student's t test (**, P < 0.01; n.s., not significant).
DnaK level does not affect the efficiency of killing of M. smegmatis by RIF or 8918. Download FIG S1, PDF file, 0.07 MB (74.6KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
List of strains, plasmids, oligonucleotides, competition experiments, and relevant MICs. Download Table S2, XLSX file, 0.02 MB (21KB, xlsx) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
DnaJ1 and DnaJ2 are cochaperones for the DnaK system in mycobacteria (22); they present client proteins to DnaK for refolding. Individually, they are not essential for M. smegmatis growth, but they are collectively essential for growth (22). We hypothesized that one or both of the cochaperones aid DnaK in supporting RIF resistance in M. smegmatis. To identify which DnaK cochaperone is responsible for the observed difference in FOR to RIF, we tested the FOR of the ΔdnaJ1 and ΔdnaJ2 backgrounds of M. smegmatis to RIF. The FOR to RIF was similar for wild-type M. smegmatis and the ΔdnaJ1 strain (Fig. 2B); however, we did not detect any mutants on RIF plates for the ΔdnaJ2 strain (limit of detection [LOD] = 5.4 × 10−10 in Fig. 2B and LOD = 6.2 × 10−11 in Fig. 2C). The FOR to RIF was restored to wild-type levels upon complementation with dnaJ2 integrated at attB (Fig. 2C). Notably, the MICs of RIF for these strains are similar to those for the wild type (Table S2).
To confirm that DnaJ2 cochaperone activity is required for the formation of RIF resistance mutants, we complemented ΔdnaJ2 with dnaJ2H32Q, which we have shown does not support DnaJ essential function in M. smegmatis and failed to stimulate DnaK ATPase activity in vitro (23). M. smegmatis expressing DnaJ2H32Q in the ΔdnaJ2 background did not yield any colonies on RIF plates (LOD = 1.4 × 10−10) (Fig. 2C), suggesting that DnaJ2 activity is required for the survival of RIF-resistant cells in M. smegmatis.
In vitro, many RNAP mutations result in resistance to RIF (27, 28), yet only a few are found in RIF-resistant clinical isolates of M. tuberculosis. To directly test the role of the DnaK system in buffering the fitness cost of specific point mutations, we generated mutant rpoB alleles encoding D432V, H442Y, and S447L mutations (corresponding to the most common mutations in RIF-resistant clinical isolates in M. tuberculosis [29–31]) in the ΔdnaJ1 and ΔdnaJ2 backgrounds of M. smegmatis (23) by recombineering. We used the ΔdnaJ strains as surrogates for the DnaK depletion strain to avoid the selection of deregulated mutants that arise from serial passaging of DnaK depletion cultures. We used a coculture competition assay to test the relative fitness of the strains. In competition experiments, the rpoBS447L strain had a slight fitness defect when competed with the wild-type parent strain (Fig. 3A, rpoBS447L versus wild type [WT]). However, loss of dnaJ2 in the rpoBS447L strain resulted in a >5-log10 defect when it was competed with the wild type after 72 h (Fig. 3A, rpoBS447LΔJ2 versus WT), a defect that was ∼4 log10 more severe than the fitness defect of ΔdnaJ2 (ΔJ2 versus WT). The fitness defect of the rpoBS447LΔdnaJ2 strain was restored upon complementation with dnaJ2 integrated at attB (Fig. 3A, rpoBS447LΔJ2C versus WT). This defect in fitness was not observed for the rpoBS447L strain in the ΔdnaJ1 background (Fig. S2). When competed with the ΔdnaJ2 mutant, the rpoBS447L strain had an ∼3-log10 fitness defect in the absence of DnaJ2 (rpoBS447LΔJ2 versus ΔJ2), whereas D432V and H442Y did not (Fig. 3B). Similar to the rpoBS447L strain, the rpoBD432V and rpoBH442Y strains had a slight fitness defect when competed with the wild type (32–34) (Fig. 3B, rpoBX versus WT). The expression of the mutant alleles was not altered in the chaperone deletion background (Fig. S3). Notably, the rpoBS450L mutation (rpoBS447L in M. smegmatis) is found in ∼50% of RIF-resistant M. tuberculosis clinical isolates (35–37).
FIG 3.
Competition experiments reveal a fitness defect for M. smegmatis rpoBS447L lacking active DnaJ2. (A) Competitive growth indexes of RIF resistance strains in wild-type and ΔdnaJ2 backgrounds. Note that the rpoBS447LΔdnaJ2 strain did not have detectable CFU after 48 h when competed with the wild type. MGM6544 versus MGM6545 (black), MGM6510 versus MGM6133 (teal), MGM6503 versus MGM6543 (purple), MGM6545 versus MGM6133 (pink), MGM6502 versus MGM6543 (lavender). (B) Competitive growth indexes of rpoBS447L and ΔdnaJ2 strains. MGM6547 versus MGM6133 (black), MGM6546 versus MGM6133 (pink), MGM6510 versus MGM6133 (black), MGM6541 versus MGM6545 (light blue), MGM6537 versus MGM6545 (lavender), MGM6502 versus MGM6545 (purple). (C) Competitive growth indexes of the rpoBS447L strain expressing DnaJ2 or inactive DnaJ2H32Q. MGM6969 versus MGM6502 (light blue), MGM6510 versus MGM6133 (black), MGM6968 versus MGM6133 (purple), MGM6566 versus MGM6133 (pink), MGM6969 versus MGM6133 (lavender). A competitive index of 1 indicates equal fitness. The graph represents an independent experiment performed in triplicate. Each experiment was performed three times (except that for panel C, which was performed two times) with similar results. Values are means and standard deviations (SD). Statistical significances were calculated using Student's t test comparing MGM6502 versus MGM6543 (lavender) to MGM6510 versus MGM6133 (teal) (A); MGM6502 versus MGM6545 (purple) to MGM6547 versus MGM6133 (black) (B); and MGM6969 versus MGM6133 (lavender) to MGM6968 versus MGM6133 (purple) (C) (*, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001).
Competition experiments reveal no fitness defect for M. smegmatis rpoBS447L in the absence of DnaJ1. Download FIG S2, PDF file, 0.04 MB (40.7KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
RpoB levels in M. smegmatis strains. Download FIG S3, PDF file, 0.4 MB (391.7KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
To confirm that DnaJ2 cochaperone activity is required for the fitness of the rpoBS447L strain, we complemented rpoBS447LΔJ2 with dnaJ2H32Q. In contrast to wild-type DnaJ2, expression of DnaJ2H32Q did not restore fitness to the rpoBS447LΔJ2 strain (Fig. 3C), suggesting that DnaJ2 activity is required for the fitness of this mutant.
The DnaK system buffers the fitness cost of M. tuberculosis RNAP RpoBS450L AMR mutation in M. smegmatis.
Our attempt to test the role of the DnaK system in supporting AMR in M. tuberculosis was hindered by the formation of suppressor mutations in M. tuberculosis strains that lack the cochaperone DnaJ2 (our unpublished observations). Because of this limitation, we obtained the published recombinant M. smegmatis strain that has a deletion of its own rpoB and rpoC alleles and expresses the M. tuberculosis rpoBWT or rpoBS450L (S447L in M. smegmatis) and rpoC alleles at the attB site (referred to here as rpoBMtbWT or rpoBMtbS450L) (33). We used the M. smegmatis rpoBMtb strains to assess whether the DnaK system supports the M. tuberculosis rpoBMtbS450L allele in M. smegmatis by comparing growth rates. We used growth rates to measure fitness here because addition of selective markers in these strains resulted in a slow growth phenotype, and literature suggests that growth rate comparison can be used to substitute for competitive fitness assays (38). As observed previously (33), rpoBMtbS450L had a slight fitness defect, as evidenced by the apparent doubling time, compared to rpoBMtbWT (Fig. 4A). Deletion of dnaJ2 in the M. smegmatis rpoBMtbS450L strain (rpoBMtbS450LΔJ2) resulted in a doubling time of 6.89 ± 0.67 h, which was a 78% percent increase compared to rpoBMtbWTΔdnaJ2; this was more than the growth defect of ΔdnaJ2 (29% increase compared to rpoBMtbWT) and rpoBMtbS450L (20% increase compared to rpoBMtbWT) strains combined (29 + 20 = 49%). The fitness defect of the rpoBMtbS447LΔdnaJ2 strain was lost upon complementation with dnaJ2 (rpoBMtbWTΔJ2C) but not with the empty vector control pMV261kan. The levels of RpoB remained similar between WT and S450L as well as in the chaperone deletion background (Fig. S4). These data suggest that the fitness defect imparted by the RIF resistance-conferring rpoBS447L allele in M. smegmatis is also imparted by the rpoBMtbS450L allele from M. tuberculosis and that the mycobacterial DnaK system of chaperones alleviates this defect.
FIG 4.
Doubling time measurements reveal a fitness defect for M. smegmatis rpoBMtbS450L in the absence of DnaJ2. (A) Doubling times for rpoBMtbWT and rpoBMtbS450L in wild-type, ΔdnaJ2, and ΔdnaJ2 complemented backgrounds. TS106 (black), MGM7068 (lavender), MGM7069 (purple), TS108 (pink), MGM7072 (teal), MGM7073 (light blue). (B) Doubling times for M. smegmatis strains containing RIF resistance mutation rpoBMtbS450L and its compensatory mutation rpoCMtbV483G in wild-type and ΔdnaJ2 backgrounds. TS106 (black), TS108 (pink), TS113 (teal), MGM7028 (purple), MGM7031 (lavender), MGM7029 (light blue). The experiment was performed three times in triplicate for each strain. Values are means and SD. Statistical significances were calculated using the Wilcoxon rank-sum test (Mann-Whitney U test) (****, P < 0.0001; ns, not significant).
RpoB levels in strains carrying M. tuberculosis rpoBC alleles. Download FIG S4, PDF file, 0.7 MB (757.9KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
A compensatory mutation still compensates for the fitness defect of rpoBMtbS450L in the absence of the DnaK system.
Compensatory mutations in the RNAP subunits rpoC and rpoA have been shown to ameliorate fitness costs of RIF-resistant M. tuberculosis in vitro and in the clinic (4, 5, 33, 39, 40). To test whether compensatory mutations alleviate the fitness defect of M. smegmatis harboring rpoBMtbS450L in the ΔdnaJ2 background, we used the recombinant M. smegmatis strain described above (M. smegmatis rpoBMtbS450L) that carries the compensatory rpoC allele rpoCMtbV483G at the attB site (33). The V483G substitution and many of the substitutions in RpoC that compensate for the RpoB S450L mutation are in the interface of the β and β′ subunits of RNAP. It was suggested that these compensatory mutations could restore structural interactions in subunits of RNAP (40). Addition of the rpoCMtbV483G compensatory mutation to M. smegmatis rpoBMtbS450LΔJ2 restored the doubling time of M. smegmatis back to levels of the ΔdnaJ2 strain (Fig. 4B, rpoBMtbS450LrpoCMtbV483GΔJ2). These data suggest that the amino acid substitution V483G in RpoC still compensates for the fitness defect imparted by the S450L RpoB RIF resistance-conferring substitution in the absence of DnaJ2. Notably, RpoC V483G did not compensate for the fitness defect imparted by the dnaJ2 deletion alone.
Enhanced association of RpoBS447L with DnaK.
Our findings suggest that the DnaK system supports the fitness of the RIF resistance-conferring rpoBS447L mutation and the rpoBMtbS450L mutation in M. smegmatis. Because several subunits of RNAP were identified in the DnaK SILAC experiments (Table 1), we hypothesized that the DnaK system directly binds to and stabilizes RpoB. To test this idea, we immunoprecipitated M. smegmatis RpoB and tested for coprecipitation of DnaK by immunoblotting. DnaK associated with RpoBWT compared with the Ig control, confirming the interaction (Fig. 5A). We performed the same experiment in cells harboring the RIF resistance-conferring rpoBD432V, rpoBH442Y, or rpoBS447L mutation. RpoBD432V and RpoBH442Y associated with similar levels of DnaK as the WT, whereas RpoBS447L associated with more DnaK than RpoBWT (Fig. 5B).
FIG 5.
DnaK associates with RpoB in M. smegmatis. (A) Immunoprecipitation of RpoB from M. smegmatis wild-type MC2155. Anti-GFP (mouse, monoclonal) was used in lysate as a nonspecific Ig control. (B) Immunoprecipitation of RpoB from M. smegmatis rpoBWT (lane 1, MC2155), rpoBS447L (lane 2, MGM6465), rpoBH447Y (lane 3, MGM6466), rpoBD432V (lane 4, MGM6467), rpoBWTΔdnaJ2 (lane 5, MGM6301), and rpoBS447LΔdnaJ2 (lane 6, MGM6481). Membranes were probed as indicated. Pulldown experiments were performed three independent times; a representative image is shown.
The increased association of DnaK with RpoBS447L corroborates our fitness data for the rpoBS447L strain; it is also consistent with recently published crystal structures of M. smegmatis RNAP with RpoBS447L that demonstrate considerable disorder compared to the structures of M. smegmatis RNAP with RpoBWT (41). We hypothesized that in the absence of DnaJ2, the DnaK system would no longer associate with RpoBS447L, resulting in the observed fitness defect of this strain (Fig. 3). To test the association between RpoBS447L and DnaK in the absence of DnaJ2, we immunoprecipitated M. smegmatis RpoB and blotted for DnaK in the ΔdnaJ2 strain. Even in cells lacking the cochaperone DnaJ2, RpoBS447L still associated with DnaK (Fig. 5B). Furthermore, more DnaK did not associate with RpoBMtbS450L than with RpoBMtbWT (Fig. S5). These data suggest that the fitness defect observed for rpoBS447LΔdnaJ2 and for rpoBMtbS450LΔdnaJ2 is not due to the inability of RpoBS447L or RpoBMtbS450L to associate with DnaK.
DnaK does not associate more with RpoBMtbS450L than RpoBMtbWT in M. smegmatis. Download FIG S5, PDF file, 1.4 MB (1.4MB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
DnaK system buffers another AMR mutation in M. smegmatis.
To extend our analysis of the DnaK system in mediating AMR in mycobacteria to other drug targets, we looked at rpsL mutations that confer high-level resistance to the broad-spectrum aminoglycoside SM, which is a second-line TB drug that inhibits protein synthesis by targeting the ribosome (42). We generated mutant rpsL alleles encoding K43N, K43R, and K88R mutations in the ΔdnaJ1 and ΔdnaJ2 backgrounds of M. smegmatis and asked whether the mutations impair the ability of these strains to compete with wild-type strains bearing the same rpsL mutations in standard 7H9 medium. These rpsL mutations are found in clinical isolates of SM-resistant M. tuberculosis. M. smegmatis ΔdnaJ2 with the rpsLK43N SM resistance-conferring mutation had an ∼2 log10 fitness defect when competed with ΔdnaJ2 (Fig. 6A). This defect was complemented with a plasmid harboring dnaJ2, but not dnaJ1 (Fig. 6B), and was not observed in the ΔdnaJ1 mutant (Fig. S6). The other SM resistance-conferring mutations tested, rpsLK43R and rpsLK88R, did not show a fitness defect in cells lacking DnaJ2 or DnaJ1.
FIG 6.

Competition experiments reveal a fitness defect for M. smegmatis rpsLK43N in the absence of DnaJ2. (A) Competitive growth indexes of streptomycin resistance strains in wild-type and ΔdnaJ2 backgrounds. MGM6581 versus MGM6580 (purple), MGM6577 versus MGM6575 (pink), MGM6578 versus MGM6575 (teal), MGM6583 versus MGM6580 (light blue), MGM6576 versus MGM6575 (black), MGM6582 versus MGM6580 (lavender). (B) Complementation of the ΔdnaJ2 allele with dnaJ2 or dnaJ1. MGM6576 versus MGM6575 (black), MGM6615 versus MGM6575 (teal), MGM6614 versus MGM6575 (pink). A competitive index of 1 indicates equal fitness. The graph represents independent experiment performed in triplicate. The experiment was performed twice. Values are means and SD. Statistical significances were calculated using Student's t test comparing MGM6576 versus MGM6575 (black) to MGM6582 versus MGM6580 (lavender) (A) and MGM6576 versus MGM6575 (black) to MGM6614 versus MGM6575 (pink) (B) (*, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001).
Competition experiments reveal no fitness defect for streptomycin resistance alleles in M. smegmatis in the absence of DnaJ1. Download FIG S6, PDF file, 0.04 MB (41.5KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Notably, M. smegmatis lacking DnaJ2 with the fluoroquinolone resistance-conferring mutations gyrAS91P, gyrAD94G, or gyrAA90V did not exhibit a fitness defect when competed with the ΔdnaJ2 or ΔdnaJ1 strain (Fig. S7A). In addition, there was no fitness defect of the isoniazid resistance-conferring mutation inhAS94A in the wild-type, ΔdnaJ1, or ΔdnaJ2 background (Fig. S7B).
Competition experiments reveal no fitness defect for fluoroquinolone resistance alleles or an isoniazid resistance allele in M. smegmatis lacking DnaJ1 or DnaJ2. Download FIG S7, PDF file, 0.10 MB (100.4KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
DISCUSSION
We found that mycobacterial DnaK associates with many essential proteins, including the targets of antimicrobials or proteins in pathways that are targeted by antimicrobials. DnaK also associates with many putative transcription factors. These findings explain the essentiality of the DnaK system in mycobacteria and encouraged us to pursue the hypothesis that the mycobacterial DnaK system could support the survival of cells containing mutant alleles of essential cellular proteins that are the targets of antimicrobials. We hypothesized that DnaK could support AMR in mycobacteria by either directly binding to proteins that contain resistance-conferring amino acid substitutions or by acting globally to stabilize the stress response to these substitutions.
Resistance to RIF is increasing. In 2018, the WHO reported about 0.5 million new cases of RIF-resistant TB. We found that the DnaK chaperone system plays an important role in supporting resistance to RIF in M. smegmatis: RIF resistance was less frequent in cells depleted of DnaK, and we were unable to isolate any RIF-resistant mutants in bacteria lacking the DnaK cochaperone DnaJ2. The most prevalent resistance mutation observed in the clinic for patients with RIF-resistant TB is the rpoB S450L mutation (S447L in M. smegmatis). Our data indicate that the fitness of mycobacteria with the rpoBS447L allele (M. smegmatis) or the rpoBMtbS450L allele (M. tuberculosis) decreases dramatically when cells lack DnaJ2. The fitness defect is specific for this RIF resistance allele and specific for the cochaperone DnaJ2. The presence of DnaJ2 does not alter the ability of a compensatory mutation (RpoCV438G) to compensate for the fitness defect of RpoBS450L; however, mycobacteria that harbor the RpoBS450L and RpoCV438G mutations still require DnaJ2 for optimal fitness. In addition, we found that DnaK associates with and stabilizes RpoB. Although RpoB, RpoD and RpoZ did not reach the cutoff to be classified as a hit in the DnaK SILAC experiments, RpoC was identified as a hit in two of three experiments (Table 1; Table S1). We found that DnaK associates more with RpoBS447L than RpoBWT. Intriguingly, structural analysis of M. smegmatis RNAP harboring RpoBS447L in the absence of DNA reveals disorder in the β-subunit loop (41), supporting the need for the DnaK system in the fitness of cells with this mutation. E. coli RNAP was shown to associate with DnaK (43), and DnaK protects E. coli RNAP from heat denaturation and reactivates heat-denatured RNAP in vitro (44), suggesting that the association between chaperone and RNAP (wild-type and AMR-conferring alleles) may be extended to additional microbes. The enhanced association between RpoBS447L and DnaK was specific for RpoBS447L; it was not observed with RpoBMtbS450L. It was also observed in the absence of cochaperone DnaJ2. Therefore, it does not provide an explanation for the fitness defect of strains harboring the S447L or MtbS450L mutations in the absence of DnaJ2.
Work by Stefan et al. found that at the molecular level, RNAP containing RpoBS450L had decreased open complex stability and a decreased elongation rate and was more efficient at intrinsic termination than complexes with RpoBWT (45). The RpoCV438G mutation could compensate for the open complex instability as well as the decreased elongation rate; it could not fully compensate for the increased efficiency of intrinsic termination. It is possible that DnaJ2 helps to stabilize the termination complex of RNAP containing RpoBS450L. It is also possible that the DnaK system in M. smegmatis works more broadly and is able to mitigate downstream stress imparted by the RpoBS447L or RpoBS450L mutation. M. tuberculosis harboring the rpoBS450L (M. smegmatis rpoBS447L) allele has transcriptional and metabolomic signatures indicative of altered phthiocerol dimycocerosates (PDIMs) and various lipids (46, 47). Previous data suggest that higher-molecular-weight proteins and protein complexes are likely substrates for M. smegmatis DnaK (22); it is plausible that the rpoBS447L or rpoBMtbS450L allele alters the transcriptional and proteomic landscape of mycobacteria and results in an enhanced dependence on the DnaK chaperone system. Future work will address this possibility.
In addition to the fitness defect observed with cells expressing RpoBS447L in the absence of DnaJ2, cells expressing the SM resistance-conferring RpsL K43N mutation also show a fitness defect in the absence of DnaJ2. Several subunits of the ribosome were identified in our experiments as DnaK-interacting proteins, so it is possible that the ribosome is a substrate for folding or assembly by the DnaK system; E. coli DnaK has been shown to facilitate ribosome biogenesis (48–50). However, we did not observe alterations in the level or stability of RpsI, a component of the ribosome, upon DnaK depletion in M. smegmatis (data not shown). Ribosomes with the RpsL K43N mutation display enhanced translational fidelity (51). It is possible that alterations in the ribosome capacity or activity in this mutant put an increased dependence on the DnaK system, and this results in a fitness defect in the absence of DnaJ2.
We did not observe fitness defects upon chaperone depletion for three clinically relevant fluoroquinolone resistance mutations or for the inhA mutation that confers resistance to isoniazid. Neither gyrase nor InhA was identified as a DnaK client in the SILAC experiment; it is possible that these mutations do not alter the cellular physiology enough to require buffering, or other chaperones could be responsible for buffering the effects of these mutations.
The effects that we observed are specific to the cochaperone DnaJ2; we did not observe fitness defects in any of the mutations tested with DnaJ1. This could be because we have not tested enough mutants, or it could suggest that DnaJ2 plays a bigger role in mycobacterial physiology than DnaJ1. DnaJ proteins control the ATPase activity of DnaK and assist in the delivery of substrate proteins for refolding by DnaK. Inactivating mutations of either DnaJ1 or DnaJ2 results in a slight growth defect in M. smegmatis; however, in vitro studies with purified protein (23) and overexpression studies in M. tuberculosis (52) revealed differences between the two J protein activities. Our findings are consistent with these previous studies. Future work will focus on substrate differences between DnaJ1 and DnaJ2 in mycobacteria.
Protein chaperones aid in protein folding, maintenance of protein integrity, and cellular stress response; in doing so, they have the unique ability to directly stabilize resistance-conferring amino acid substitutions in drug targets and counter the stress imparted by these substitutions. Numerous studies report a role for protein chaperones, in particular, Hsp90, in supporting amino acid substitutions in diverse organisms and cell types (6–13, 21). In the pathogenic fungus Candida albicans, Hsp90 was shown to play a role in AMR to the azoles (6) and the echinocandins (53); in E. coli, DnaK was shown to play a role in the evolution of resistance to tetracycline (21). Herein, we show that the DnaK protein chaperone system in mycobacteria supports the fitness of strains harboring clinically relevant resistance-conferring amino acid substitutions in RpoB and the ribosome, the targets of first-line (RIF) and second-line (SM) TB drugs. In general, lower in vitro fitness correlates with lower fitness in the clinic for M. tuberculosis (54), which suggests that the cost of resistance determines the spread of DR TB. To our knowledge, this is the first report on the role of protein chaperones in supporting AMR in mycobacteria. Although technical limitations prevented us from testing the role of the DnaK system in supporting AMR in M. tuberculosis, we did observe a fitness defect in M. smegmatis harboring the M. tuberculosis RIF resistance-conferring rpoB allele in the absence of the DnaK system. This study supports future studies aimed at inhibiting the DnaK system to sensitize or prevent DR in M. tuberculosis, and perhaps other bacteria (55). Interestingly, M. tuberculosis encodes an Hsp90 homolog HtpG (Rv2299c) (56). Future studies aim to determine the role of the DnaK system and HtpG in supporting AMR in this pathogen. Finally, given the widespread role of chaperones in enabling genomic diversity (6–13, 21), we anticipate that our findings can be extended to other microbes.
MATERIALS AND METHODS
Growth conditions.
M. smegmatis strains were cultured in LB with 0.5% glycerol, 0.5% dextrose, and 0.05% Tween 80 (LBsmeg) or Difco Middlebrook 7H9 supplemented with 0.2% glycerol, 10% ADS (0.5% albumin, 0.085% NaCl, 0.2% dextrose) and 0.05% Tween 80 (7H9). Difco Middlebrook 7H10 or 7H11 agar plates were supplemented with 0.2% glycerol and 10% (wt/vol) Middlebrook oleic acid-albumin-dextrose-catalase (OADC).
Strain construction (AMR alleles).
Strains used in this study are listed in Table S2. The M. smegmatis DnaK depletion strain and the DnaJ1 and DnaJ2 knockout strains are described in reference 22. For RIF resistance-conferring rpoB alleles and isoniazid (INH) resistance-conferring inhA alleles, strains were made by oligonucleotide recombineering and selection on RIF (100 μg/ml) or INH (10 μg/ml). Mutations were confirmed by sequencing rpoB or inhA, and confirmed strains were subsequently passaged on sucrose to select for loss of the recombineering plasmid, pAJF519, a derivative of pRGM18 (57) with the hygromycin resistance cassette removed. For SM resistance-conferring rpsL alleles, spontaneous mutants were selected on SM (20 μg/ml) plates. Mutations were identified by sequencing rpsL. Quinolone resistance-conferring gyrA alleles were made in two ways. In wild-type and ΔdnaJ2 backgrounds, spontaneous mutants were selected on ofloxacin (0.5 μg/ml) plates. In wild-type and ΔdnaJ1 backgrounds, the endogenous gyrAB locus deletion was made by homologous recombination and double-negative selection (58) in a merodiploid containing a second copy of gyrAB at attB. Quinolone resistance-conferring gyrA alleles were then swapped for the WT copy at attB.
SILAC.
M. smegmatis was grown for 24 h in 7H9 to an optical density at 600 nm (OD600) of 0.5 with 40 μg/ml lysine (light or heavy) and then diluted to an OD600 of 0.007 in the same media. Cultures were cooled on ice and harvested by centrifugation. The cell pellets were washed with buffer A (25 mM Tris, 200 mM NaCl; pH 8.0) and suspended in buffer A with 200 U apyrase. The samples were lysed with a French press (passing twice at 16,000 lb/in2); 0.1% Triton X-100 was added and mixed for 15 min. The debris was pelleted (3,700 × g, 20 min) and the supernatant was used as the starting material for SILAC. The lysate was added to HisPur slurry and incubated for 1 h with mixing. Unbound lysate was allowed to flow through, and the resin was washed in buffer A with 0.1% Triton X-100. Bound proteins were eluted in buffer A containing 250 mM imidazole. The sample was diluted, bound to fresh resin again, washed with buffer A, and eluted with buffer A containing 250 mM imidazole. Equal volumes of eluate from heavy and light samples were combined, concentrated, and submitted to the MSKCC Proteomics Core for analysis.
Proteins were separated by SDS-PAGE and stained with Simply Blue (Life Technologies), and 10 gel sections were excised with in situ trypsin digestion of polypeptides in each gel slice performed as described elsewhere (59). The tryptic peptides were desalted using stage tips (Thermo Scientific) following the manufacturer’s instructions. The purified peptides were diluted to 0.1% formic acid, and each gel section was analyzed separately by microcapillary liquid chromatography (LC) with tandem mass spectrometry (MS) by using the NanoAcquity system (Waters) with a 100-μm inner diameter, 10-cm-long C18 column (1.7 μm particle size; BEH130; Waters) configured with a 180-μm by 2-cm trap column coupled to an Orbitrap Elite or QE Plus mass spectrometer (Thermo Fisher Scientific). Peptides were eluted with a 0-to-50% linear gradient of acetonitrile (0.1% formic acid)/water (0.1% formic acid) over 90 min at 300 nl/min. Key parameters for the Orbi Elite mass spectrometer were as follows: automatic gain control (AGC), 1 × 106 ions; resolution, 120,000; m/z 300 to 1,650; and a top 10 collision-induced dissociation (fragmentation) (CID) method in the ion trap. Key parameters for the QE Plus mass spectrometer were as follows: AGC, 1 × 106 ions; resolution, 70,000; m/z 400 to 1,600 with data collected in profile mode and top 10 method. Precursors were selected using a 1.5 m/z isolation width, fragmented by higher-energy C-trap dissociation (HCD) with a normalized collision energy of 27 eV. MS/MS scans were acquired at a resolution of 17,500 at 200 m/z with an ion target value of 5 × 104, maximum injection time of 50 ms, dynamic exclusion for 15 s, and data collected in centroid mode.
Raw mass-spectrometric data were analyzed using the MaxQuant environment (60), v.1.5.3.30, and employed Andromeda for database search (61) at default settings with a few modifications. The default was used for first search tolerance and main search tolerance. Labels were set to Lys6. MaxQuant was set up to search the reference M. smegmatis proteome (strain MC2155) database downloaded from UniProt on 3 February 2015. MaxQuant performed the search for trypsin digestion with up to 2 missed cleavages. Peptide, site, and protein false discovery rate (FDR) were all set to 1% with a minimum of 1 peptide needed for identification but 2 peptides needed to calculate a protein level ratio. The following modifications were used as variable modifications for identifications and included for protein quantification: oxidation of methionine (M), acetylation of the protein N terminus, phosphorylation of serine, threonine, and tyrosine residues (STY), and deamination for asparagine or glutamine (NQ). One unique peptide was required for high-confidence protein identifications, and a minimum ratio count of two peptides (one unique and one razor) were required for SILAC ratio determination. Normalized SILAC ratios (i.e., heavy to light) were used for subsequent analysis.
Isolation of insoluble protein.
Insoluble proteins were isolated upon DnaK depletion as described in reference 22. Samples were analyzed by immunoblotting for RpoB (BioLegend).
M. smegmatis DnaK CFU experiments and DnaK immunoblotting.
The DnaK depletion strain was cultured in 7H9 with 25 ng/ml ATC. When they were at mid-log phase, cells were harvested and washed twice with 7H9. The cells were diluted to an OD of 0.02 and separated into three flasks, and 25 ng/ml, 12.5 ng/ml, or 0.78 ng/ml ATC was added. The cultures were grown overnight with shaking. When the OD was ∼1, single-cell suspensions were made by harvesting at 123 × g for 8 min without deceleration. The cells were diluted to an OD of 0.01. Cells were diluted and plated for input, and ATC was added back to the original concentration. In a 96-well plate, 200 μl cells was added to RIF at 100 μg/ml, 8918 at 15 μM, or dimethyl sulfoxide (DMSO). After 24 h at 37°C, 10-fold dilutions were made, and cells were plated on 7H11. Numbers of CFU were calculated 3 to 7 days later.
For the DnaK immunoblot, cultures were prepared as described above, except that when cells reached an OD of ∼2.5, 64 OD equivalents were harvested. The cell pellets were washed with PBS/Tween 80 and resuspended in 1 ml PBS/Tween 80. The cells were kept on ice and lysed by bead beating, and lysates were harvested at 18,407 × g for 10 min. Supernatant was analyzed by immunoblotting for DnaK as previously described (22).
FOR experiments.
The DnaK depletion strain was cultured in 7H9 with 25 ng/ml ATC. When they reached mid-log phase, cells were harvested and washed twice with 7H9. The cells were diluted to an OD of 0.01 and separated into two flasks, and 25 ng/ml or 0.78 ng/ml ATC was added. The cultures were grown overnight with shaking. When the OD was ∼1, single-cell suspensions were made by harvesting at 123 × g for 8 min without deceleration. The cells were diluted to an OD of 0.2. Cells were diluted and plated for input, and 108 cells were plated on antibiotic (RIF at 240 μM or 8918 at 63 μM)-containing 7H10/ATC. FOR was calculated by dividing the number of resistant colonies by the number of cells plated. Because strains depleted of chaperone have a growth defect, both input and resistant colonies were counted when mutant colonies reached the same size as WT colonies (days 10 to 12). Resistance was confirmed by sequencing rpoB from about 10 to 20 colonies from each strain. Note that sometimes (∼1/3 of the time) we saw clumped cultures for low DnaK (0.78 ng/ml ATC) that resulted in low OD upon single-cell suspension. This occurred more when cultures were grown in glass flasks than when they were in plastic flasks. These cultures were discarded.
The other M. smegmatis strains were inoculated from a single colony into 3 ml 7H9 and grown to mid-log phase. This culture was then used to inoculate 30 ml 7H9. When cultures reached an OD600 of 0.5 to 0.6, cultures were harvested and resuspended in 3 ml 7H9. Cells were diluted and plated for input, and the remaining cells were plated on 7H10 containing RIF at 240 μM. Plates were incubated at 37°C for 5 days and then counted; incubation was continued until day 10 for a final count, which was used for FOR calculation. FOR was calculated by dividing the number of resistant colonies by the number of cells plated. For strains that produced no colonies on RIF plates, the limit of detection was calculated by using 1/total CFU plated over the experiment (9 cultures added).
Competition experiments in M. smegmatis.
Ten-milliliter cultures were started in 7H9 in 50-ml conical tubes with appropriate antibiotic selection (kanamycin [20 μg/ml] or SM [20 μg/ml]). After overnight incubation at 37°C, cultures had reached an OD600 of 0.4 to 0.6 and were harvested (3,700 × g, 10 min, room temperature) and resuspended in 10 ml 7H9 (no antibiotic). For the start of competition experiments, 10 ml of 7H9 in square inkwell bottles was inoculated with the two competing strains each diluted to an OD600 of 0.001. For time zero, serial 10-fold dilutions were made in LBsmeg and spotted on LBsmeg agar with kanamycin or SM selection. Inkwell bottles were incubated at 37°C for 24 h with shaking (150 rpm). At each 24-h time point, cultures were collected and diluted to an OD600 of 0.0015 in fresh 7H9, and serial 10-fold dilutions were prepared in LBsmeg and spotted on LBsmeg with kanamycin or SM. All plates were incubated for 72 h at 37°C, and then CFU were counted. To calculate the competitive index at each time point, the percent CFU for the strain of interest was calculated from total CFU and divided by percent CFU at time zero.
Doubling-time measurements for M. smegmatis rpoBMtb strains.
Ten-milliliter cultures were started in 7H9 in 30-ml inkwell bottles and grown to an OD600 between 0.3 and 0.5. Based on approximated doubling times, cultures were diluted in 10 ml 7H9 and grown for 15 h 37°C with shaking (150 rpm) with a target OD600 of ∼0.1. OD600 was taken every 1.5 h for up to 9 h. OD600 measurements between 0.05 and 0.5 were used to calculate doubling times of each strain. Each strain was prepared in triplicate, and the experiment was repeated 3 times, resulting in 9 calculated doubling times for each strain.
RpoB immunoprecipitation.
Strains were grown in LBsmeg for 15 h at 37°C to an OD600 of 0.4. Cultures were cooled on ice and cells were harvested by centrifugation (3,700 × g, 10 min, 4°C). All remaining steps were performed at 4°C. Cell pellets were washed in buffer (50 mM Tris, 100 mM NaCl, 10% glycerol, 4 mM EDTA; pH 8.0), and a final resuspension of 500 μl was lysed by bead beating. After bead beating, an additional 500 μl of buffer was added, and the bead/lysate mix was centrifuged at 3,000 × g for 5 min. Approximately 1 ml of supernatant was removed for use as the starting lysate. To these lysates, 2.5 μg anti-RNAPβ (BioLegend) was added and incubated for 1 h with shaking. After 1 h, 50 μg of prewashed protein A/G magnetic beads (Pierce) was added and incubated for 1 h. Beads were collected via magnet and washed 4 times with 1 ml buffer with gentle agitation between washes. Elution was done in 100 μl of sample buffer (containing SDS and dithiothreitol [DTT]) heated to 95°C for 5 min prior to the removal of magnetic beads.
ACKNOWLEDGMENTS
We thank members of the Nathan lab, especially Ben Gold and Carl Nathan, for insightful discussions; we also thank Seth Darst and Liz Campbell (Rockefeller University) for insightful discussions. We thank Carl Nathan and Landys Lopez Quezada for critical review of the manuscript, as well as Helena Boshoff and Clifton Barry III (NIH) for TS106, TS109, TS110, and TS113 M. smegmatis strains. We thank Paul Christos for statistical advice.
This work was supported by NIH TB Research Unit grant U19AI11143 (MG, co-PI); Abby and Howard P. Milstein Program in Chemical Biology and Translational Medicine (Carl Nathan, PI); and Cancer Center support grant P30 CA008748 (M.G.). The Department of Microbiology and Immunology at Weill Cornell Medicine is supported by the William Randolph Hearst Trust.
Footnotes
Citation Fay A, Philip J, Saha P, Hendrickson RC, Glickman MS, Burns-Huang K. 2021. The DnaK chaperone system buffers the fitness cost of antibiotic resistance mutations in mycobacteria. mBio 12:e00123-21. https://doi.org/10.1128/mBio.00123-21.
Contributor Information
Digby F. Warner, IDM/University of Cape Town.
K. Heran Darwin, New York University School of Medicine.
REFERENCES
- 1.O’Neill J. 2016. Tackling drug-resistant infections globally: final report and recommendations. Review on Antimicrobial Resistance. Wellcome Trust, London, United Kingdom. [Google Scholar]
- 2.U.S. Department of Health and Human Services Centers for Disease Control and Prevention. 2013. Antibiotic resistance threats in the United States.
- 3.Andersson DI, Hughes D. 2010. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat Rev Microbiol 8:260–271. doi: 10.1038/nrmicro2319. [DOI] [PubMed] [Google Scholar]
- 4.Hughes D, Brandis G. 2013. Rifampicin resistance: fitness costs and the significance of compensatory evolution. Antibiotics (Basel) 2:206–216. doi: 10.3390/antibiotics2020206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Andersson DI. 2006. The biological cost of mutational antibiotic resistance: any practical conclusions? Curr Opin Microbiol 9:461–465. doi: 10.1016/j.mib.2006.07.002. [DOI] [PubMed] [Google Scholar]
- 6.Cowen LE, Lindquist S. 2005. Hsp90 potentiates the rapid evolution of new traits: drug resistance in diverse fungi. Science 309:2185–2189. doi: 10.1126/science.1118370. [DOI] [PubMed] [Google Scholar]
- 7.Fares MA, Ruiz-Gonzalez MX, Moya A, Elena SF, Barrio E. 2002. Endosymbiotic bacteria: groEL buffers against deleterious mutations. Nature 417:398. doi: 10.1038/417398a. [DOI] [PubMed] [Google Scholar]
- 8.Aguilar-Rodriguez J, Sabater-Munoz B, Montagud-Martinez R, Berlanga V, Alvarez-Ponce D, Wagner A, Fares MA. 2016. The molecular chaperone DnaK is a source of mutational robustness. Genome Biol Evol 8:2979–2991. doi: 10.1093/gbe/evw176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Maisnier-Patin S, Roth JR, Fredriksson A, Nyström T, Berg OG, Andersson DI. 2005. Genomic buffering mitigates the effects of deleterious mutations in bacteria. Nat Genet 37:1376–1379. doi: 10.1038/ng1676. [DOI] [PubMed] [Google Scholar]
- 10.Rutherford SL, Lindquist S. 1998. Hsp90 as a capacitor for morphological evolution. Nature 396:336–342. doi: 10.1038/24550. [DOI] [PubMed] [Google Scholar]
- 11.Queitsch C, Sangster TA, Lindquist S. 2002. Hsp90 as a capacitor of phenotypic variation. Nature 417:618–624. doi: 10.1038/nature749. [DOI] [PubMed] [Google Scholar]
- 12.Rohner N, Jarosz DF, Kowalko JE, Yoshizawa M, Jeffery WR, Borowsky RL, Lindquist S, Tabin CJ. 2013. Cryptic variation in morphological evolution: HSP90 as a capacitor for loss of eyes in cavefish. Science 342:1372–1375. doi: 10.1126/science.1240276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Karras GI, Yi S, Sahni N, Fischer M, Xie J, Vidal M, D'Andrea AD, Whitesell L, Lindquist S. 2017. HSP90 shapes the consequences of human genetic variation. Cell 168:856–866.E812. doi: 10.1016/j.cell.2017.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Xu Y, Singer MA, Lindquist S. 1999. Maturation of the tyrosine kinase c-src as a kinase and as a substrate depends on the molecular chaperone Hsp90. Proc Natl Acad Sci U S A 96:109–114. doi: 10.1073/pnas.96.1.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Whitesell L, Lindquist SL. 2005. HSP90 and the chaperoning of cancer. Nat Rev Cancer 5:761–772. doi: 10.1038/nrc1716. [DOI] [PubMed] [Google Scholar]
- 16.Sahni N, Yi S, Taipale M, Fuxman Bass JI, Coulombe-Huntington J, Yang F, Peng J, Weile J, Karras GI, Wang Y, Kovács IA, Kamburov A, Krykbaeva I, Lam MH, Tucker G, Khurana V, Sharma A, Liu Y-Y, Yachie N, Zhong Q, Shen Y, Palagi A, San-Miguel A, Fan C, Balcha D, Dricot A, Jordan DM, Walsh JM, Shah AA, Yang X, Stoyanova AK, Leighton A, Calderwood MA, Jacob Y, Cusick ME, Salehi-Ashtiani K, Whitesell LJ, Sunyaev S, Berger B, Barabási A-L, Charloteaux B, Hill DE, Hao T, Roth FP, Xia Y, Walhout AJM, Lindquist S, Vidal M. 2015. Widespread macromolecular interaction perturbations in human genetic disorders. Cell 161:647–660. doi: 10.1016/j.cell.2015.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Van Dyk TK, Gatenby AA, LaRossa RA. 1989. Demonstration by genetic suppression of interaction of GroE products with many proteins. Nature 342:451–453. doi: 10.1038/342451a0. [DOI] [PubMed] [Google Scholar]
- 18.Sabater-Munoz B, Prats-Escriche M, Montagud-Martinez R, Lopez-Cerdan A, Toft C, Aguilar-Rodriguez J, Wagner A, Fares MA. 2015. Fitness trade-offs determine the role of the molecular chaperonin GroEL in buffering mutations. Mol Biol Evol 32:2681–2693. doi: 10.1093/molbev/msv144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bogumil D, Dagan T. 2012. Cumulative impact of chaperone-mediated folding on genome evolution. Biochemistry 51:9941–9953. doi: 10.1021/bi3013643. [DOI] [PubMed] [Google Scholar]
- 20.Kadibalban AS, Bogumil D, Landan G, Dagan T. 2016. DnaK-dependent accelerated evolutionary rate in prokaryotes. Genome Biol Evol 8:1590–1599. doi: 10.1093/gbe/evw102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lukacisinova M, Fernando B, Bollenbach T. 2020. Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance. Nat Commun 11:3105. doi: 10.1038/s41467-020-16932-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fay A, Glickman MS. 2014. An essential nonredundant role for mycobacterial DnaK in native protein folding. PLoS Genet 10:e1004516. doi: 10.1371/journal.pgen.1004516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lupoli TJ, Fay A, Adura C, Glickman MS, Nathan CF. 2016. Reconstitution of a Mycobacterium tuberculosis proteostasis network highlights essential cofactor interactions with chaperone DnaK. Proc Natl Acad Sci U S A 113:E7947–E7956. doi: 10.1073/pnas.1617644113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Noens EE, Williams C, Anandhakrishnan M, Poulsen C, Ehebauer MT, Wilmanns M. 2011. Improved mycobacterial protein production using a Mycobacterium smegmatis groEL1DeltaC expression strain. BMC Biotechnol 11:27. doi: 10.1186/1472-6750-11-27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Calloni G, Chen T, Schermann SM, Chang H-C, Genevaux P, Agostini F, Tartaglia GG, Hayer-Hartl M, Hartl FU. 2012. DnaK functions as a central hub in the E. coli chaperone network. Cell Rep 1:251–264. doi: 10.1016/j.celrep.2011.12.007. [DOI] [PubMed] [Google Scholar]
- 26.Ballinger E, Mosior J, Hartman T, Burns-Huang K, Gold B, Morris R, Goullieux L, Blanc I, Vaubourgeix J, Lagrange S, Fraisse L, Sans S, Couturier C, Bacqué E, Rhee K, Scarry SM, Aubé J, Yang G, Ouerfelli O, Schnappinger D, Ioerger TR, Engelhart CA, McConnell JA, McAulay K, Fay A, Roubert C, Sacchettini J, Nathan C. 2019. Opposing reactions in coenzyme A metabolism sensitize Mycobacterium tuberculosis to enzyme inhibition. Science 363:eaau8959. doi: 10.1126/science.aau8959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gagneux S, Long CD, Small PM, Van T, Schoolnik GK, Bohannan BJM. 2006. The competitive cost of antibiotic resistance in Mycobacterium tuberculosis. Science 312:1944–1946. doi: 10.1126/science.1124410. [DOI] [PubMed] [Google Scholar]
- 28.Morlock GP, Plikaytis BB, Crawford JT. 2000. Characterization of spontaneous, in vitro-selected, rifampin-resistant mutants of Mycobacterium tuberculosis strain H37Rv. Antimicrob Agents Chemother 44:3298–3301. doi: 10.1128/aac.44.12.3298-3301.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sandgren A, Strong M, Muthukrishnan P, Weiner BK, Church GM, Murray MB. 2009. Tuberculosis drug resistance mutation database. PLoS Med 6:e2. doi: 10.1371/journal.pmed.1000002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yang Z, Durmaz R, Yang D, Gunal S, Zhang L, Foxman B, Sanic A, Marrs CF. 2005. Simultaneous detection of isoniazid, rifampin, and ethambutol resistance of Mycobacterium tuberculosis by a single multiplex allele-specific polymerase chain reaction (PCR) assay. Diagn Microbiol Infect Dis 53:201–208. doi: 10.1016/j.diagmicrobio.2005.06.007. [DOI] [PubMed] [Google Scholar]
- 31.Toungoussova OS, Sandven P, Mariandyshev AO, Nizovtseva NI, Bjune G, Caugant DA. 2002. Spread of drug-resistant Mycobacterium tuberculosis strains of the Beijing genotype in the Archangel Oblast, Russia. J Clin Microbiol 40:1930–1937. doi: 10.1128/jcm.40.6.1930-1937.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Brandis G, Pietsch F, Alemayehu R, Hughes D. 2015. Comprehensive phenotypic characterization of rifampicin resistance mutations in Salmonella provides insight into the evolution of resistance in Mycobacterium tuberculosis. J Antimicrob Chemother 70:680–685. doi: 10.1093/jac/dku434. [DOI] [PubMed] [Google Scholar]
- 33.Song T, Park Y, Shamputa IC, Seo S, Lee SY, Jeon H-S, Choi H, Lee M, Glynne RJ, Barnes SW, Walker JR, Batalov S, Yusim K, Feng S, Tung C-S, Theiler J, Via LE, Boshoff HIM, Murakami KS, Korber B, Barry CE, Cho S-N. 2014. Fitness costs of rifampicin resistance in Mycobacterium tuberculosis are amplified under conditions of nutrient starvation and compensated by mutation in the beta' subunit of RNA polymerase. Mol Microbiol 91:1106–1119. doi: 10.1111/mmi.12520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Mariam DH, Mengistu Y, Hoffner SE, Andersson DI. 2004. Effect of rpoB mutations conferring rifampin resistance on fitness of Mycobacterium tuberculosis. Antimicrob Agents Chemother 48:1289–1294. doi: 10.1128/aac.48.4.1289-1294.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Clemente WT, Soares Lima SS, Palaci M, Silva MSN, Sumnienski Rodrigues VF, Dalla Costa ER, Possuelo L, Cafrune PI, Ribeiro FK, Gomes HM, Serufo JC. 2008. Phenotypic and genotypic characterization of drug-resistant Mycobacterium tuberculosis strains. Diagn Microbiol Infect Dis 62:199–204. doi: 10.1016/j.diagmicrobio.2008.06.013. [DOI] [PubMed] [Google Scholar]
- 36.Jamieson FB, Guthrie JL, Neemuchwala A, Lastovetska O, Melano RG, Mehaffy C. 2014. Profiling of rpoB mutations and MICs for rifampin and rifabutin in Mycobacterium tuberculosis. J Clin Microbiol 52:2157–2162. doi: 10.1128/JCM.00691-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Williams DL, Waguespack C, Eisenach K, Crawford JT, Portaels F, Salfinger M, Nolan CM, Abe C, Sticht-Groh V, Gillis TP. 1994. Characterization of rifampin resistance in pathogenic mycobacteria. Antimicrob Agents Chemother 38:2380–2386. doi: 10.1128/aac.38.10.2380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Castro RAD, Ross A, Kamwela L, Reinhard M, Loiseau C, Feldmann J, Borrell S, Trauner A, Gagneux S. 2020. The genetic background modulates the evolution of fluoroquinolone-resistance in Mycobacterium tuberculosis. Mol Biol Evol 37:195–207. doi: 10.1093/molbev/msz214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Comas I, Borrell S, Roetzer A, Rose G, Malla B, Kato-Maeda M, Galagan J, Niemann S, Gagneux S. 2011. Whole-genome sequencing of rifampicin-resistant Mycobacterium tuberculosis strains identifies compensatory mutations in RNA polymerase genes. Nat Genet 44:106–110. doi: 10.1038/ng.1038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.de Vos M, Muller B, Borrell S, Black PA, van Helden PD, Warren RM, Gagneux S, Victor TC. 2013. Putative compensatory mutations in the rpoC gene of rifampin-resistant Mycobacterium tuberculosis are associated with ongoing transmission. Antimicrob Agents Chemother 57:827–832. doi: 10.1128/AAC.01541-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Peek J, Lilic M, Montiel D, Milshteyn A, Woodworth I, Biggins JB, Ternei MA, Calle PY, Danziger M, Warrier T, Saito K, Braffman N, Fay A, Glickman MS, Darst SA, Campbell EA, Brady SF. 2018. Rifamycin congeners kanglemycins are active against rifampicin-resistant bacteria via a distinct mechanism. Nat Commun 9:4147. doi: 10.1038/s41467-018-06587-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Davis BD. 1987. Mechanism of bactericidal action of aminoglycosides. Microbiol Rev 51:341–350. doi: 10.1128/MMBR.51.3.341-350.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Skelly S, Fu CF, Dalie B, Redfield B, Coleman T, Brot N, Weissbach H. 1988. Antibody to sigma 32 cross-reacts with DnaK: association of DnaK protein with Escherichia coli RNA polymerase. Proc Natl Acad Sci U S A 85:5497–5501. doi: 10.1073/pnas.85.15.5497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Skowyra D, Georgopoulos C, Zylicz M. 1990. The E. coli dnaK gene product, the hsp70 homolog, can reactivate heat-inactivated RNA polymerase in an ATP hydrolysis-dependent manner. Cell 62:939–944. doi: 10.1016/0092-8674(90)90268-J. [DOI] [PubMed] [Google Scholar]
- 45.Stefan MA, Ugur FS, Garcia GA. 2018. Source of the fitness defect in rifamycin-resistant Mycobacterium tuberculosis RNA polymerase and the mechanism of compensation by mutations in the beta′ subunit. Antimicrob Agents Chemother 62:e00164-18. doi: 10.1128/AAC.00164-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lahiri N, Shah RR, Layre E, Young D, Ford C, Murray MB, Fortune SM, Moody DB. 2016. Rifampin resistance mutations are associated with broad chemical remodeling of Mycobacterium tuberculosis. J Biol Chem 291:14248–14256. doi: 10.1074/jbc.M116.716704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bisson GP, Mehaffy C, Broeckling C, Prenni J, Rifat D, Lun DS, Burgos M, Weissman D, Karakousis PC, Dobos K. 2012. Upregulation of the phthiocerol dimycocerosate biosynthetic pathway by rifampin-resistant, rpoB mutant Mycobacterium tuberculosis. J Bacteriol 194:6441–6452. doi: 10.1128/JB.01013-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Maki JA, Schnobrich DJ, Culver GM. 2002. The DnaK chaperone system facilitates 30S ribosomal subunit assembly. Mol Cell 10:129–138. doi: 10.1016/S1097-2765(02)00562-2. [DOI] [PubMed] [Google Scholar]
- 49.Hage AE, Alix JH. 2004. Authentic precursors to ribosomal subunits accumulate in Escherichia coli in the absence of functional DnaK chaperone. Mol Microbiol 51:189–201. doi: 10.1046/j.1365-2958.2003.03813.x. [DOI] [PubMed] [Google Scholar]
- 50.Al Refaii A, Alix JH. 2009. Ribosome biogenesis is temperature-dependent and delayed in Escherichia coli lacking the chaperones DnaK or DnaJ. Mol Microbiol 71:748–762. doi: 10.1111/j.1365-2958.2008.06561.x. [DOI] [PubMed] [Google Scholar]
- 51.Javid B, Sorrentino F, Toosky M, Zheng W, Pinkham JT, Jain N, Pan M, Deighan P, Rubin EJ. 2014. Mycobacterial mistranslation is necessary and sufficient for rifampicin phenotypic resistance. Proc Natl Acad Sci U S A 111:1132–1137. doi: 10.1073/pnas.1317580111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Stewart GR, Robertson BD, Young DB. 2004. Analysis of the function of mycobacterial DnaJ proteins by overexpression and microarray profiling. Tuberculosis (Edinb) 84:180–187. doi: 10.1016/j.tube.2003.12.009. [DOI] [PubMed] [Google Scholar]
- 53.Singh SD, Robbins N, Zaas AK, Schell WA, Perfect JR, Cowen LE. 2009. Hsp90 governs echinocandin resistance in the pathogenic yeast Candida albicans via calcineurin. PLoS Pathog 5:e1000532. doi: 10.1371/journal.ppat.1000532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Cohen T, Murray M. 2004. Modeling epidemics of multidrug-resistant M. tuberculosis of heterogeneous fitness. Nat Med 10:1117–1121. doi: 10.1038/nm1110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Lupoli TJ, Vaubourgeix J, Burns-Huang K, Gold B. 2018. Targeting the proteostasis network for mycobacterial drug discovery. ACS Infect Dis 4:478–498. doi: 10.1021/acsinfecdis.7b00231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Harnagel A, Quezada LL, Park SW, Baranowski C, Kieser K, Jiang X, Roberts J, Vaubourgeix J, Yang A, Nelson B, Fay A, Rubin E, Ehrt S, Nathan C, Lupoli TJ. 2020. Nonredundant functions of Mycobacterium tuberculosis chaperones promote survival under stress. Mol Microbiol 115:272–289. doi: 10.1111/mmi.14615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Gupta R, Unciuleac MC, Shuman S, Glickman MS. 2017. Homologous recombination mediated by the mycobacterial AdnAB helicase without end resection by the AdnAB nucleases. Nucleic Acids Res 45:762–774. doi: 10.1093/nar/gkw1130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Barkan D, Stallings CL, Glickman MS. 2011. An improved counterselectable marker system for mycobacterial recombination using galK and 2-deoxy-galactose. Gene 470:31–36. doi: 10.1016/j.gene.2010.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Shevchenko A, Tomas H, Havlis J, Olsen JV, Mann M. 2006. In-gel digestion for mass spectrometric characterization of proteins and proteomes. Nat Protoc 1:2856–2860. doi: 10.1038/nprot.2006.468. [DOI] [PubMed] [Google Scholar]
- 60.Cox J, Mann M. 2008. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 26:1367–1372. doi: 10.1038/nbt.1511. [DOI] [PubMed] [Google Scholar]
- 61.Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M. 2011. Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 10:1794–1805. doi: 10.1021/pr101065j. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Full list of proteins identified in SILAC experiments as interacting with M. smegmatis DnaK. Download Table S1, XLSX file, 0.02 MB (25.3KB, xlsx) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
DnaK level does not affect the efficiency of killing of M. smegmatis by RIF or 8918. Download FIG S1, PDF file, 0.07 MB (74.6KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
List of strains, plasmids, oligonucleotides, competition experiments, and relevant MICs. Download Table S2, XLSX file, 0.02 MB (21KB, xlsx) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Competition experiments reveal no fitness defect for M. smegmatis rpoBS447L in the absence of DnaJ1. Download FIG S2, PDF file, 0.04 MB (40.7KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
RpoB levels in M. smegmatis strains. Download FIG S3, PDF file, 0.4 MB (391.7KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
RpoB levels in strains carrying M. tuberculosis rpoBC alleles. Download FIG S4, PDF file, 0.7 MB (757.9KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
DnaK does not associate more with RpoBMtbS450L than RpoBMtbWT in M. smegmatis. Download FIG S5, PDF file, 1.4 MB (1.4MB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Competition experiments reveal no fitness defect for streptomycin resistance alleles in M. smegmatis in the absence of DnaJ1. Download FIG S6, PDF file, 0.04 MB (41.5KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.
Competition experiments reveal no fitness defect for fluoroquinolone resistance alleles or an isoniazid resistance allele in M. smegmatis lacking DnaJ1 or DnaJ2. Download FIG S7, PDF file, 0.10 MB (100.4KB, pdf) .
Copyright © 2021 Fay et al.
This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.





