Results
74
Metabolic impact of RNAP inhibition 75
We previously demonstrated that, despite its bulk effect on RNA synthesis, rifampin elicited a 76
specific set of metabolic changes that included a combination of some that were shared by other 77
antibiotics and others that were specific to rifampin (8). We hypothesized that those specifically 78
associated with the antimycobacterial activity of rifampin might serve as a biochemical window 79
into its treatment shortening activity. We therefore compared the metabolic profiles of isogenic 80
rifampin-sensitive (rifS) and -resistant (rifR) Mtb strains during the pre-lethal phase of exposure 81
to rifampin (Fig 1A, S1A). Pathway enrichment analysis of such activity -specific metabolites 82
revealed a statistically significant over -representation of metabolites associated with amino 83
acids, nucleotides, peptidoglycan (PG) biosynthesis, and the tricarboxylic acid (TCA) cycle (Fig 84
1B, S1B, S1C). We validated the functional association of these changes with the inhibition of 85
RNAP by profiling the metabolic response s of rif S and rifR strains of Mtb to two additional 86
structurally and mechanistically distinct inhibitors of its RNAP, fidaxomicin (FDX) and 87
myxopyronin B (MYXO), at similar levels of antimycobacterial activity (Fig 1B, S1D), as well as 88
following partial transcriptional silencing of the (rpoB) and ’ (rpoC) subunits of RNAP (Fig 1C, 89
1D, S2, S3). We further showed that these changes were not carbon source specific (S4A) and 90
observed in both laboratory-adapted and clinical isolates (S4B). Metabolic tracing studies of Mtb 91
following treatment with rifampin (S5) more specifically revealed accumulations of UDP-GlcNAc, 92
GTP, ATP, and UTP indicative of an increase in PG turnover and arrest of de novo PG 93
biosynthesis (Fig 1E). 94
Transcriptomic impact of RNAP inhibition 95
Seeking further evidence of a specific physiologic impact of rifampin, we analyzed the 96
transcriptomes of rifS and rifR Mtb during the same pre-lethal phase of exposure to rifampin (Fig 97
2A, S6A). Despite its expected bulk inhibition of de novo transcription, treatment with rifampin 98
elicited both increases and decreases in transcript abundance (Fig 2A). We next overlaid the 99
transcriptional response of Mtb to rifampin with that of FDX , a structurally and mechanistically 100
distinct inhibitor of RNAP to define a biologically more specific transcriptional signature of RNAP 101
inhibition. Using an absolute cutoff (log2 fold>1 and pcorr <0.05), we identified an activity-specific 102
transcriptional signature that consisted in an accumulation of 537 and depletion of 344 103
transcripts (Fig 2A, S 6B). Functional enrichment analysis revealed a depletion of genes 104
associated with de novo PG biosynthesis (S6C), consistent with Mtb’s observed metabolic 105
response. Further analysis of this signature revealed a n enrichment of genes encoding and 106
belonging to the mtrAB regulon that was not observed in rifR strains exposed to rifampin (Fig 107
2B, 2 C). The mtrAB regulon consists of a two -component sensor kinase and cognate DNA -108
binding response regulator that was previously shown to regulate peptidoglycan remodeling 109
enzymes required for cell growth and division and reported to mediate both drug tolerance and 110
intrinsic drug resistance (Fig 2D)(9-13). Targeted qPCR analysis of mtrAB and a representative 111
subset of its regulon demonstrated that this repression was specific to RNAP -targeting 112
antibiotics (Fig 2E, S7) and carbon source independent (S8). This repression was additionally 113
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observed in Mtb whose replication had been slowed by hypoxia, acidic pH , or nutrient (PBS) 114
starvation (S9). 115
Effect of RNAP on divisome activity 116
Given the foregoing data, we sought to probe the functional relationship between RNAP activity 117
and cell wall metabolism in replicating Mtb. Prior studies reported a robust but mechanistically 118
unexplained phenotypic synergy between rifampin and cephalosporin antibiotics against Mtb(7). 119
We found that this synergy is also extended to a panel of cell wall-targeting a β-lactam antibiotics 120
(cephradine, cefadroxil, meropenem, and faropenem) that selectively inhibit FtsI ( PbpB or 121
Rv2163c)(14-20), the transpeptidase required for septal peptidoglycan biosynthesis during cell 122
division(21, 22), but not inhibitors of other peptidoglycan biosynthesis, including vancomycin and 123
cycloserine (Fig 3A). 124
Previous work had demonstrated that MtrB , the sensor kinase, localized to the cell septum via 125
interaction with divisome components (FtsI and FtsZ) and that this interaction was required for 126
activation of mtrA and its regulon(23, 24). We, therefore, sought to test if the impact of rifampin 127
on mtrAB regulon activity might be a downstream consequence of impaired septal Z -ring 128
formation (Fig 3B). To do so, we first tested the effect of inhibiting Z-ring formation on rifampin 129
susceptibility by transcriptionally silencing the expression of ftsZ to levels that only mildly slowed 130
but did not arrest growth ( S10). This revealed a selective sensitization to rifampin, but not 131
isoniazid, upon ftsZ silencing (Fig 3C, S10). Similar effects were observed upon mtrA knockdown 132
(Fig 3C, S11). We further found that treatment of Mtb with FtsI inhibitors resulted in increased 133
levels of UDP-GlcNAc (S12). 134
Seeking more direct evidence of the effect of rifampin on septal Z-ring assembly, we conducted 135
single-cell time-lapse microscopy of reporter strains that either expressed fluorescent fusions of 136
ftsZ and rpoB and were exposed to defined pulses of rifampin (S1 3). Owing to resource 137
Discussion
162
Owing to the biological centrality of transcription and well -defined molecular mechanism of 163
biochemical inhibition, studies of rifampin have historically focused on its quantitative impact on 164
rates of transcription initiation as a whole, rather than the specific physiologic consequences of 165
that inhibition(5). Our studies of both rifamycin and non-rifamycin inhibitors of RNA polymerase 166
against rifampin-sensitive and -resistant strains now shed new light on the latter. Despite its 167
genome-scale impact, we discovered that inhibition of transcription initiation, or genetic silencing 168
of the β - or ’ subunits of RNA polymerase, elicited physiologically specific and reversible 169
metabolic changes that tracked with its antimycobacterial activity, and were associated with both 170
transcriptional and phenotypic inhibition of the mtrAB two-component regulatory system (Fig 5). 171
This inhibition effectively sensitizes Mtb (not completely killed by inhibition of transcription) to a 172
number of secondary host - and drug-imposed stresses, and, in doing so, reveals a previously 173
unrecognized form of antimicrobial impact, adjunctive sensitization, that expands the scope of 174
rifampin’s antimicrobial mode-of-action. 175
Among currently approved TB drugs, rifampin is distinguished by its ability to shorten the 176
duration of treatment needed to achieve a durable, relapse-free cure(32), an activity not simply 177
explained by standard measures of its in vitro antimycobacterial potency(33, 34). This activity 178
has instead been ascribed to a combination of its ability to penetrate caseous or necrotic lesions 179
and kill the non - or slowly replicating Mtb subpopulations therein (35-37). However, the 180
mechanistic basis of this activity remains incompletely defined. That rifampin’s impact on mtrAB 181
was both carbon source independent and extended to non- or slowly replicating Mtb populations 182
highlights a novel mechanistic effect of high potential therapeutic importance. Treatment 183
shortening aside, the potential for this activity to inform the development of rational mechanism-184
based drug combinations warrants further study. 185
Translational potential notwithstanding, this work extends our understanding of the fundamental 186
biology of RNA polymerase. Previous studies of the mtrAB and walKR systems had 187
demonstrated its interaction with and regulation of genes involved in cell division and cell wall 188
metabolism, many of which include enzymes involved in peptidoglycan remodeling (10-12, 29, 189
38, 39). In Mtb and other bacteria, MtrAB or WalKR activity has been shown to depend on septal 190
localization and therefore be functionally associated with Z -ring formation and cell division (23, 191
24, 38-41). As discussed previously, mutations conferring resistance to RIF (in the RpoB subunit 192
of RNAP) in other microbes have been reported to changes in cell wall structure (42), bacterial 193
morphology(42-45), virulence(46) as well as resistance to various drugs targeting peptidoglycan 194
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biogenesis (e.g., vancomycin and daptomycin) (47-50) while resistance to some β -lactams and 195
cephalosporins has conversely been reported to be associated with mutations in the rpoB and 196
rpoC subunits of RNAP(7, 42, 43, 51-54) (55, 56) (Table S1). Our work now extends this biology 197
further to include an even more upstream and evolutionarily conserved role of RNA polymerase 198
and its state of transcriptional competence as a potential checkpoint regulator of cell division. 199
Growing evidence has implicated a broader range of physiologic roles for RNA polymerase 200
beyond its activity as a bulk enzymatic catalyst of RNA synthesis(43, 51, 57). Once focused on 201
the primary drug-target interaction, modern drug development has expanded in scope to include 202
studies of specific secondary or downstream consequences of the drug-target interaction. Such 203
studies have helped increase knowledge of the mechanistic basis for drug activity, and in doing 204
so, reveal additional new potential targets whose inhibition could mimic the activity of the drug 205
itself and/or slow/prevent the emergence of resistance. Though less well recognized, such 206
studies have also created a window into the normal physiologic functions of the targets they 207
inhibit. 208
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FIGURE LEGENDS 228
Figure 1: Inhibition of RNAP affects peptidoglycan metabolism of Mtb: (A) Experimental 229
scheme used to define Mtb’s pre -lethal response to RNAP inhibitors (RNAPi). The inset shows 230
the domain structure of RNAP highlighting the binding site of different RNAPi. Rifampin (RIF) 231
binds at the exit channel. Fidaxomicin (FDX) binds at the base of the RNAP clamp. Myxopyronin 232
B (MYXO) binds at the switch region of RNAP. (B) Heatmap showing statistically significant log2 233
fold changes (FC) in metabolite levels following a prelethal 10x MIC exposure to RNAP inhibitors 234
both in rifS and rifR (S450L and H445Y) strains for 24 hrs. (C) Schematic of CRISPRi-mediated 235
genetic inhibition of RNAP. sgRNA targeting rpoB, rpoC, and non -targeting (negative control) 236
were electroporated into Mtb -Erdman (rifS and rifR) and gene knockdown phenotype was 237
screened by growing mutants with and without anhydrotetracycline (ATc). Samples were 238
collected for metabolomic profiling. (D) Heatmap highlighting log 2 FC of metabolites upon 239
CRISPRi-mediated silencing of RNAP subunits (RpoB and RpoC). Partial depletion of rpoB and 240
rpoC was achieved using anhydrotetracycline (ATc) for 4 days, resulting in similar metabolic 241
signatures as observed upon RNAP inhibitor administration (S2, and S3). Lower row displays 242
matching metabolic changes of rifS-Mtb strain after RIF treatment. All results are representative 243
of biological triplicates and two independent experiments. (E) Diagrammatic illustration showing 244
the impact of RNA polymerase inhibition on peptidoglycan precursor and ribonucleotide pools in 245
Mtb (top panel). Impact of rifampin (10x MIC dose; 0.5 µg/ml for 24 hrs) on pool sizes of GTP, 246
UTP, GlcN-1P, and UDP-GlcNAc in Mtb that had been prelabeled with 13C and transferred to 12C 247
upon rifampin treatment. p-values were calculated using non-parametric t-test (for GlcN-1-P and 248
GTP) or two-way ANOVA mixed model (for UTP and UDP-GlcNAc). ****p<0.0001, and **p<0.01. 249
Error bars denote s.e.m. 250
Figure 2: Transcriptomic profiles of Mtb RNAP inhibition by rifampin and fidaxomycin: (A) 251
Venn diagram showing the differentially expressed and overlapping genes (in overlay) upon 252
exposure of 10x MIC dose of rifampin and fidaxomicin to rifS strain (Mtb-H37Rv) for 24 hrs. Cutoff: 253
log2 fold changes >1 and < -1; padj value <0.05. (B) Donut graph shows the functional enrichment 254
analysis of significant overlapping genes with known functions. Almost 27.8% of genes belong to 255
the cell wall-related mechanism and 2.8% of total genes belong to mtrAB regulon (see overhang) 256
(C) Heatmap displaying log2 fold changes of representative members of the mtrAB regulon upon 257
inhibition of RNAP both in rifS and rifR strains. Stars show the range of padj values for the most 258
significant differential expressions calculated using the Benjamini -Hochberg method. p values: 259
**< 0.05; ***<0.0005. (D) Depiction of the mtrAB regulon and its function in bacteria. 260
Autophosphorylation or external stimuli (unknown) activates the MtrB sensor kinase which results 261
in the downstream phosphorylation -mediated activation of its cognate response regulator MtrA 262
and expression of almost 62 genes participating in PG remodeling, maintenance, cell shape, 263
elongation, division, and intrinsic antimicrobial resistance (AMR). (E) Real-time qPCR results 264
showing log 2 fold changes of some key genes from mtrAB regulon after treatment of different 265
RNAP inhibitors and antibiotics targeting cell wall or respiration. Centroid linkage hierarchical 266
cluster analysis was done using Gene Cluster 3.0 software. All results are representative of 267
biological triplicates and two independent experiments. 268
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Figure 3: Impact of RNAP inhibition on divisome assembly: (A) Heatmap showing the most 269
synergistic area score of rifampin combined with antibiotics of differing modes of action. Most 270
synergistic area scores and Zero Interaction Potency (ZIP) scores were measured using 271
SynergyFinder (https://synergyfinder.fimm.fi/). Scale: less than -10: antagonistic, from -10 to 10: 272
additive, larger than 10: synergistic. All experiments were done in biological triplicates. (Table 273
S3). (B) Graphic showing the impact of localization of the divisome components FtsZ (1) and FtsI 274
(2) on the activation of MtrBA (3) system and their role in peptidoglycan biosynthesis and 275
remodeling. Numbers (1,2, and 3) show the sequence of molecular events. (C) Dose-response 276
graphs showing the minimum inhibitor concentrations of rifampin (RIF) and isoniazid (INH) upon 277
partial depletion of ftsZ and mtrA in Mtb -Erdman. Gene knockdown was achieved using 278
anhydrotetracycline (ATc) regulated CRISPRi constructs expressing respective sgRNA. (D-F) 279
Subcellular localization dynamics of FtsZ and RpoB following RIF and INH treatment. Dynamics 280
of FtsZ and RpoB were tracked in M. smegmatis mc2155 cells expressing fluorescent fusions of 281
RpoB (rpoB-msfGFP) and FtsZ (ftsZ-mCherry2B) (S13). Bacteria were grown for 9 hrs followed 282
by 4 hrs of drug treatment (20µg/ml RIF and 25µg/ml INH) and 2 hrs of recovery. Spatial-temporal 283
expression dynamics of the fluorescent proteins (in yellow color) were measured using Fiji and 284
customized Python scripts. (D) Representative microscopy images illustrating Z -ring dynamics 285
upon RIF or INH treatment. (E) Single bacteria kymographs highlighting differences in Z -ring 286
formation between RIF and INH treated cells. The upper left panel shows that RIF inhibits FtsZ 287
localization, whereas the right panel reveals that RIF can also halt FtsZ recruitment even after 288
cell division has initiated. (F) Bar charts showing the percentage of cells with detectable FtsZ foci 289
at each time point. Scale bar: 5µm. Results represent biological triplicates across two 290
independent experiments, except for time -lapse imaging, which represents two independent 291
experiments with biological duplicates. 292
Figure 4: Phylogenetic conservation of the RNAP -cell wall -division relationship: (A) A 293
phylogenetic tree of MtrA orthologs in different bacterial species was created using 294
https://itol.embl.de/. (B) Graphic presenting the conserved two -domain structure of MtrA and its 295
orthologs. Conserved aspartic acids on the N -terminal domain and tyrosine on the C -terminal 296
domain are targets of the sensor kinase (MtrB or WalK or YycF), while threonine on the C-terminal 297
domain is primarily targeted by a serine -threonine protein kinase (PknB or PrkC). (C) Heatmap 298
representing log 2 FC of key metabolites in B. subtilis and S. aureus upon treatment with RIF, 299
FDX, and MYXO for 20 min (S17). Respective metabolites from rifS-Mtb treated with RIF are also 300
presented for as reference. (D) Real-time qPCR estimation showing the levels of two-component 301
systems upon RIF treatment for B. subtilis and S. aureus walKR . A significant depletion is 302
consistent with changes in the corresponding MtrAB regulon of Mtb. (E) Distribution of most 303
synergistic area score showing the extent of synergy of RIF with different antibiotics both in B. 304
subtilis and S. aureus. Lower segment is showing the overlapping antibiotic synergy score from 305
rifS-Mtb strain. White cells indicate an absence of corresponding antibiotics. All results are 306
representative of biological triplicates and two independent experiments. 307
Figure 5: Generalized model of RNAP mediated regulation of cell wall biosynthesis and 308
bacterial division: Under normal growth conditions, bacteria maintain a state of metabolic 309
homeostasis that provides a continuous supply of nucleotides to sustain transcription and cell 310
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wall biosynthesis. Perturbations of transcription (either antibiotic or genetic) result in diminished 311
turnover of nucleotides (UTP and GTP) that may affect de novo peptidoglycan biosynthesis and 312
septa formation. The resulting imbalance leads to septum delocalization, consequently 313
suppressing the regulon of the bacterial two component system (MtrAB/ YycFG/ WalKR or VicKR) 314
and disrupting cell wall biosynthesis, elongation, bacterial division, and intrinsic antimicrobial 315
resistance. 316
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Figure 5 330
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Acknowledgments: We thank to TBRU and TB -alliance for providing various RNAP inhibitors in 538
this study. We thank Jenny Zhaoying Xiang and Adrian Y Tan from the Genomics core of Weill 539
Cornell Medicine for their constant support for RNA sequencing and genomics analysis. We 540
acknowledge Dirk Schnappinger, and Jeremy Rock for providing CRISPRi strains of ftsZ and mtrA. 541
We also thank Michael DeJesus, Nicholas Poulton, Shuqi Li, Dr. Cara Boutte, Kristin Burns-Huang, 542
Allison Fay, Daniel Fitzgerald, David Alland, David Sherman, Murty Madiraju, and Dr. 543
Dhandayuthapani S. for their help with different clinical, lab, and drug -resistant strains. Thanks to 544
Jennifer Herrmann from Helmholtz Institute for Pharmaceutical Research Saarland, Germany for 545
generously providing Myxopyronin B. 546
Funding: 547
National Institutes of Health grant: U19 AI162584 548
Bill & Melinda Gates Foundation: BMGF INV-004709 549
Author contributions: 550
Conceptualization: V.S. and K.Y.R. 551
Methodology: V.S., K.Y.R., J.Z. 552
Investigation: V.S. and K.Y.R. 553
Visualization: V.S. and K.Y.R. 554
Funding acquisition: K.Y.R. 555
Project administration: K.Y.R. 556
Supervision: K.Y.R. 557
Writing – original draft: V.S. and K.Y.R. 558
Writing – review & editing: V.S., K.Y.R., Y.P, J.D.H., and E.J.R. 559
Competing interests: The authors declare that they have no competing interests. 560
Data and materials availability: Raw metabolomics data are available at Metabolomics 561
Workbench under the project ID PR002179. Additionally, the raw transcriptomics data are 562
deposited to the NCBI Short Read Archive with the BioProject ID PRJNA1181268. All code used 563
to generate cell kymographs and representative micrographs was deposited on GitHub and 564
available at https://github.com/jzrolling/FtsZ_kymographs. Other data are available in the 565
supplementary materials. 566
567
568
569
was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for this preprint (whichthis version posted July 21, 2025. ; https://doi.org/10.1101/2025.07.20.665812doi: bioRxiv preprint