Abstract
The bacterial chromosome is organized in a hierarchical and dynamic manner to
facilitate various DNA transactions. Nucleoid-associated proteins (NAPs) are the most
abundant small -scale chromosomal organizers , playing roles in maintaining
chromosomal DNA integrity, gene regulation, DNA replication, and DNA repair. In this
study, we characteriz e the recently identified mycobacterial NAP, NapM in
Mycobacterium smegmatis. Our study shows that NapM exhibits a distinctive septal
localization in response to stress affecting cell envelope integrity and modulates the
expression of approximately one-third of M. smegmatis genes, including those involved
in cell envelope biosynthesis. Our findings suggest that NapM regulates mycobacterial
cell division under stress, enabling this saprophyte to adapt to constantly changing
environmental conditions.
Introduction
Emerging evidence shows that the bacterial chromosome resembles eukaryotic
chromatin having a highly organized and hierarchical structure (1). Although the
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chromosome must be tightly condensed to fit into the bacterial cell, certain regions
need to be accessible to the protein machineries involved in basic DNA transactions,
such as replication, transcription, and DNA repair. Different groups of proteins
contribute to maintaining the hierarchical yet dynamic nucleoid structure. Among them
are topoisomerases, which modulate chromosome topology (2); condensins, which
contribute to long DNA fragment organization (3); and small basic proteins called
nucleoid-associated proteins (NAPs) (1). NAPs organize the chromosome more locally
by introducing bends (e.g., HU and IHF homologs), bridging DNA (e.g., H -NS, Fis),
bunching and wrapping (e.g., IHF, H-NS), and stiffening (e.g., HU, Fis) (4). Moreover,
they can bind DNA to act as global regulators of transcription (5–7).
While some NAPs exhibit structural and/or functional homology across various
bacterial species, others are conserved within a single genus or species. The genus
Mycobacterium possesses a distinct set of NAPs with unique functions , often beyond
shaping chromosome architecture (e.g., regulation of chromosome replication and
gene transcription) (8–10). Mycobacteria elongate apically and divide asymmetrically,
such that chromosome is positioned closer to the new pole (8). Moreover, the structure
of the mycobacterial chromosome is unusual within the bacterial world, as it has bead-
like chromosomal domains , the formation of which remains unknown (11). The most
abundant mycobacterial NAP, HupB (an HU homolog), presumably participates in pre-
replication complex formation (12) and inhibits RecA-promoted strand exchange (13).
The functional homolog of H-NS, Lsr2, together with its ortholog, MSMEG_1060, helps
the cell adapt to unfavorable conditions, potentially by regulating gene transcription
(e.g., genes involved in the synthesis of lipooligosaccharides; LOS) (10, 14) .
Additionally, Lsr2 promotes the exchange of replicative DNA polymerase during
chromosomal DNA synthesis in Mycobacterium smegmatis , balancing mutagenesis
and survival under DNA -damaging conditions, and contributing to the emergence of
antibiotic (e.g., rifampicin) resistance (15). Mycobacterial IHF is essential for the
integration of mycobacteriophage L5 (16), and its depletion results in chromosome
shrinkage and replication inhibition (17). Additionally, certain NAPs are encoded only
within the genomes of pathogenic mycobacteria; these include the virulence
regulators, EspR (18), NapA, (19), and MDP2, which interacts with the polar growth
determinant, DivIVA (20).
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The recently identified nucleoid -associated protein, NapM, is a well conserved
protein found in both saprophytic and pathogenic species of Mycobacterium (21). M.
smegmatis NapM was shown to be involved in altering resistance to ethambutol (EMB)
and rifampicin (antibiotics used to treat tuberculosis ) (21). Interestingly, in M.
tuberculosis, NapM inhibits DNA replication, presumably by binding the replication
initiation protein, DnaA (22). Thus, NapM may facilitate the persistence of M.
tuberculosis as non -replicating cells within macrophages during latent tuberculosis
infections (21, 22). Although M. smegmatis and M. tuberculosis belong to the same
genus, their occupied niches differ significantly. M. smegmatis primarily inhabits water
and soil environments, often living symbiotically with other organisms, such as free -
living amoebae (23). In immunocompromised patients, however, M. smegmatis can
cause opportunistic infections that mainly affect the skin and soft tissues (24). It is
unknown whether the NapM in saprophytic M. smegmatis is also involved in
chromosome replication as in M. tuberculosis. Here, we show that in M. smegmatis,
NapM modulates cell cycle dynamics and undergoes stress-induced relocalization to
the septum, a phenomenon not previously observed in other NAPs . Moreover, we
demonstrate that NapM functions as a pleiotropic transcriptional regulator that impacts
over one -third of M. smegmatis genes, particularly those involved in cell envelope
biosynthesis, leading to the accumulation of one of its components –
phosphatidylinositol dimannoside (PIM2). These findings indicate that NapM exhibits a
broader range of functions than its originally proposed role as a nucleoid -associated
protein, raising questions about its classification within this group.
Results
NapM is annotated as a member of the PadR family, a large group of transcriptional
regulators that function as environmental sensors. PadR family members , including
NapM possess two domains: an N -terminal DNA -binding winged helix -turn-helix
(wHTH) domain and a C -terminal domain responsible for homodimerization (25).
Although NapM occurs exclusively in Mycobacterium and is highly conserved within
this genus (average identity – 92%, Fig. S1A), the phylogenetic tree of NapM proteins
(Fig. S1B) suggests that there is some diversity in the C -terminal domain sequences
between saprophytes (e.g., M. smegmatis ) and pathogens (e.g., M. tuberculosis ).
Previous atomic force microscopy experiments suggested that NapM is a DNA -
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bridging protein that forms aggregates with looped dsDNA (21, 26) . However, the
literature lacked direct evidence that NapM can dimerize in M. smegmatis. To address
this, w e carried out Bacterial Two -Hybrid (BTH) experiments and found that NapM
forms homodimers ( Fig. 1A ), and the dimer structure is presumably stabilized by
interactions of the C-terminal domains, as further supported by AlphaFold predictions
(Fig. 1B ). Additionally, the recently uploaded crystal structure of NapM from M.
tuberculosis, which shows the formation of homodimers, further corroborates our
Results
(https://swissmodel.expasy.org/repository/uniprot/P71704).
Figure 1. NapM forms homodimers. A. Bacterial Two-Hybrid (BTH) assay (spots) of the M.
smegmatis NapM protein. B. AlphaFold (https://alphafoldserver.com/welcome) predictions of
M. smegmatis NapM tertiary structure.
NapM regulates cell cycle dynamics
To elucidate the function of NapM during M. smegmatis growth, we analyzed the single-
cell morphology, chromosome organization, and membrane integrity of the napM
deletion mutant ( ΔnapM) and a strain overproducing NapM protein ( NapM↑) under
optimal conditions. There was no apparent difference in the membrane continuity of
the tested strains (Fig. S2A). However, the ΔnapM cells were longer than the wild-type
cells (4.4 ± 2.1 µm and 3.5 ± 1.4 µm, respectively; t(598) = 8.43, p = 2 × 10⁻¹⁶, n = 300
per group; see Fig. 2A), whereas the NapM ↑ cells were shorter than Control↑ (wild-
type strain with an empty pMVpAMI vector after induction with 1% acetamide) cells (2.7
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± 0.7 µm and 3.3 ± 0.9 µm, respectively ; t(598) = -9.11, p = 3.2 × 10 ⁻¹⁶, n = 300 per
group; see Fig. 2A). The average cell width was similar across the strains ( Fig. 2B),
and no significant between -strain difference was observed in the asymmetry ratio of
daughter cells ( Fig. 2C). These data suggest that NapM may influence the cell
elongation and/or cell envelope composition of M. smegmatis potentially through
transcriptional regulation. Our experiments also revealed that changes in the NapM
level slightly affected chromosome condensation, calculated as a percentage of cell
length (76% ± 6 and 79% ± 5 for the deletion mutant and wild-type strain, respectively;
t(98) = -2.72, p = 4.2 × 10⁻², n = 50 per group; see Fig. S2B). However, the nucleoid
was longer in the ΔnapM cells than in the wild -type cells (2.91 ± 0.88 µm and 3.68 ±
1.10 µm; t(198) = -5.47, p = 6.4 × 10 ⁻⁷, n = 100 per group; see Fig. 2D). In contrast,
these parameters were not altered in NapM↑ cells compared to the Control↑ strain (Fig.
2D, Fig. S2B).
Figure 2. napM deletion alters the cell and chromosome length. Boxplots presenting the
average cell lengths (A), cell width (B), and daughter cells asymmetry ( C) for tested strains.
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D. Boxplots showing length of the chromosomes stained with Hoechst 33342 dye in analyzed
strains.
To further investigate the role of NapM in cell cycle dynamics in M. smegmatis, we
used the previously described chromosome replication marker, DnaN-mCherry (27) in
the ΔnapM and NapM↑ strains. Time Lapse Fluorescence Microscopy (TLFM)
experiments revealed that, under optimal conditions, ΔnapM cells exhibited a slight
delay in replication time (C phase) relative to wild -type cells (125.58 ± 21.30 min and
120.20 ± 16.84 min, respectively; t(608) = 3.46, p = 5.4 × 10⁻⁴, n = 305 per group; see
Fig. S3A ) but no significant difference was observed in the time from replication
termination to the initiation of the new replication round in daughter cells (BD phase)
(Fig. S 3B). Interestingly, under nutrient -restriction conditions ( limited nutrients
availability, see M&M), ΔnapM exhibited delays in both the C phase (131.99 ± 18.42
min vs. 124.34 ± 1.42 min; t(198) = 4.14, p = 3.6 × 10 ⁻⁶, n = 272 for ∆napM, 267 for
WT) and, particularly, the BD phase compared to the WT strain (57.94 ± 26.94 min vs.
45.73 ± 19.54 min; t(198) = 3.67, p = 1 × 10⁻¹⁰ n = 326 for ∆napM, and 314 for WT, see
Fig. 3). Moreover, doubling time for ∆napM was extended in comparison to WT (190.29
± 34.69 min and 170.67 ± 28.27 min, respectively; t(498) = 6.93, p = 2.2 × 10 ⁻¹², n =
250).
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Figure 3. Replication dynamics is altered in the ΔnapM strain under nutrient-restricted
conditions. The left panel shows a schematic representation of the phases of mycobacterial
cell cycle. The right panel displays a density plot of the durations of the C and BD phases in
the wild-type (WT) and ΔnapM strains.
Together, these results suggest that NapM influences cell division dynamics in M.
smegmatis and its lack slow down replication process under nutrient restriction. This
indicates that NapM plays a crucial role in regulating the cell cycle in response to
nutrient depletion in the saprophytic M. smegmatis.
NapM acts as a pleiotropic transcriptional regulator
Since NapM belongs to the PadR family of transcription factors, we investigated
whether NapM regulates gene transcription. To this end, we performed RNA-Seq (GEO
Accession GSE275852) to compare the global transcription profiles of ΔnapM and the
wild-type strain in optimal conditions. The results revealed that deletion of napM
significantly altered the expression of over 2,400 genes (with analysis threshold set to
abs log2FC = 1, FDR = 0.05) in exponentially growing M. smegmatis cells. Specifically,
1609 genes exhibited increased expression, while 816 showed decreased expression
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when napM was deleted, indicating that NapM may primarily function as a
transcriptional repressor ( Fig. 4A). Although NapM-regulated genes were distributed
across the entire chromosome, certain chromosomal regions were particularly
affected, with the most substantial changes occurring around the oriC region
suggesting its potential role in regulation of housekeeping genes . Additionally, we
observed moderate changes along the transcripts of genes allocated within
chromosomal arms, and the least changes near the ter region ( Fig. 4B). The
transcriptional alterations in the ∆napM strain were visualized using a volcano plot (Fig.
4C), highlighting the most significant changes in transcripts such as panB, glpA/glpD,
MSMEG_6760, glpK , ino1, L -lactate 2 -monooxygenase, MSMEG_4208,
MSMEG_4209, MSMEG_4211, and MSMEG_4207. Using the KEGG database, we
classified the genes with altered transcript levels from the RNA -Seq data ( Fig. 4D).
The most significant changes compared to the wild -type strain were associated with
processes such as mismatch repair, homologous recombination, base excision repair,
and DNA replication (dnaN, dnaQ) (Fig. 4D). Of particular interest were gene groups
potentially linked to the observed elongated cell phenotype, including those involved
in cell division ( wag31, crgA, MSMEG_6171 ) and cell envelope synthesis
(MSMEG_2934, MSMEG_0359, MSMEG_3859) (Table S4).
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Figure 4. napM deletion alters the expression of genes across the chromosome. A.
Number of genes regulated in response to napM deletion. B. Chart presenting transcriptomic
changes relative to gene position in the genome of the ∆napM strain. C. Enriched pathways in
the ∆napM strain (KEGG database). D. Volcano plot for the ∆napM strain with highest-scoring
genes annotated.
Given our observation that NapM may influence cell elongation and division (Fig. 2A),
we further focused our analysis on transcriptomic changes related to cell envelope
biosynthesis and cell division. Notably, NapM functions as an activator for cell envelope
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genes; in the ΔnapM strain, peptidoglycan (PG) biosynthesis genes were
downregulated across all synthesis steps, including cytoplasmic precursor synthesis,
the formation and subsequent translocation of lipid -linked intermediates across the
cytoplasmic membrane, and PG polyme rization and cross -linking ( Table S4 ).
Additionally, several genes involved in phosphatidylinositol -containing polar lipid
biosynthesis, spanning multiple pathways starting from phosphatidylinositol (PI)
synthesis, through phosphatidylinositol mannosides ( PIMs) formation, to their
glycosylation into lipomannan (LM) and lipoarabinomannan (LAM), exhibited
downregulated expression in ΔnapM (Table S4).
These metabolically related polar lipids share a conserved glycosylated
phosphatidylinositol (GPI) anchor and are integral components of the mycobacterial
cell envelope. Disruptions in their synthesis enhance bacterial susceptibility to stress
(e.g., treatment with ethambutol) while also affecting cell shape and division (28). Since
RNA-Seq results suggested potential alterations in mycobacterial cell envelope lipid
composition, we performed thin -layer chromatography (TLC) of lipid extracts, which
revealed an enrichment of the PIMs fraction in the ΔnapM strain compared to the wild-
type strain ( Fig. 5A). Additionally, observed downregulation within the PG synthesis
pathway, and to a lesser extent within the arabinogalactan (AG) synthesis pathway
(Table S4), suggest a possible disruption of the cell wall skeleton structure, potentially
impacting the integrity of the mycolic acid (MA) layer, which is anchored in PG -AG
matrix. Therefore, we extended our analysis of cell wall lipids by TLC of mycolic acid
methyl esters (Fig. S4A). However, no significant changes were observed , which is
consistent with the RNA-Seq data showing no alterations in transcripts associated with
MA biosynthesis.
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Figure 5. napM deletion results in altered PIMs composition A. TLC analysis of the total
lipid fractions of the wild -type (WT) and ∆ napM strains. B. MALDI-TOF analysis of the wild -
type (WT) and ∆ napM strains. PIM2 is being accumulated in ∆ napM (red) strain and
the acylated PIM 2 level is lowered in comparison to the wild-type strain (blue). C. Zoomed
regions of MALDi -TOF spectra of PIM2 (phosphatidylinositol dimannoside) and Ac 1PIM2
(acylated phosphatidylinositol dimannoside) obtained from the wild -type (blue) and ∆ napM
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cells. D. Schematic biosynthesis pathway, with implemented transcriptomic changes of (blue
– downregulated; red – upregulated) polar lipids (PI, LM and LAM) in M. smegmatis ∆napM
strain. E. Transcriptomic changes in the inositol and phosphatidylinositol biosynthesis
pathways in M. smegmatis ΔnapM strain.
2D-TLC ( Fig. S 4B, C ) of total lipids derived from the ΔnapM strain confirmed the
presence of an additional lipid species, later identified by MALDI-TOF analysis as non-
acylated PIM 2 (phosphatidylinositol dimannoside) ( Fig. 5B, C). A similar PIM profile,
characterized by the accumulation of PIM2 and a reduction in the acylated form of PIM2
(Ac1PIM2), was observed in M. smegmatis strain lacking MSMEG_2934, the gene that
encodes the acyltransferase responsible for the addition of an acyl group to PIM2 (29).
Indeed, in the ΔnapM strain, MSMEG_2934 is the most downregulated gene in the
PIMs biosynthesis pathway, together with slight downregulation of the other genes
encoding key acyltransferases, pimA, and pimB (Fig. 5D). RNA-Seq analysis reveals
that in addition to significant changes in the expression of transcripts involved in
phosphatidylinositol-containing lipids synthesis, other pathways associated with
inositol utilization and inositol metabolism itself are also a ffected in the ΔnapM strain
(see Table S4). Notably, one of the most upregulated genes in the ΔnapM strain is ino1
gene ( Fig. 6), which encodes inositol -1-phosphate synthase, a crucial enzyme for
inositol synthesis (30). Interestingly, genes located in the ABC transporter gene cluster
(MSMEG_4658 - MSMEG_4656), previously described as essential for the uptake of
exogenous inositol (31), are also highly upregulated in the ΔnapM mutant. Inositol is
not only essential for the synthesis of PIM, LM, and LAM (32) but also serves as a key
precursor in the synthesis of mycothiol, a vital component of the cell’s antioxidant
defense and detoxification pathways (30, 33) (Fig. 6). It is worth noting that, similar to
the key genes involved in PIM, LM, and LAM synthesis, the major genes of mycothiol
synthesis pathway are also downregulated when napM is deleted (Table S4, Fig. 4)
(33).
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Figure 6. Transcriptomic changes in the inositol and phosphatidylinositol biosynthesis
pathways in M. smegmatis ΔnapM strain. Blue indicates downregulation in the ∆ napM
strain, while red represents upregulation.
Our findings suggest that NapM may play a pivotal role in regulating cell envelope
components synthesis, particularly by modulating PIMs biosynthesis, which are crucial
for mycobacterial survival under stress conditions (34). By acting as an activator of
genes involved in various polar lipid biosynthesis pathways, including PI, PIMs, LM,
and LAM, NapM appears to shape the cell envelope structure, potentially enabling M.
smegmatis cells to adapt to environmental challenges.
NapM is a stress-induced protein
Our previous RNA-Seq experiments (14) suggest that the napM gene is expressed at
a relatively low level in exponentially growing M. smegmatis cells, and data from the
protein abundance database (PaxDb, https://pax-
db.org/protein/246196/MSMEI_6719) indicate that NapM protein constitutes a minor
fraction of total cellular proteins, with levels between 12.0 and 17.7 ppm, compared to
12,000–14,000 ppm for HupB. Intriguingly, the level of napM transcript in pathogenic
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M. tuberculosis increases upon exposure to various stresses, including environmental
factors and antibiotics (22). However, no such information is available for NapM in
saprophytic M. smegmatis, which occupies different, highly competitive environmental
niches and possesses a larger genome than M. tuberculosis . We investigate d the
impact of napM deletion on M. smegmatis growth in response to stress. We found that
napM deletion impacts M. smegmatis growth even under optimal conditions, as
evidenced by a reduced growth rate in the lag phase without alteration in the
exponential phase ( Fig. 7). This appears to contrast with a previous report that
concluded napM deletion in M. smegmatis had no impact on growth in optimal
conditions using CFU measurements (21). However , the potential identification of
dormant cells , which are not detected by growth curve analysis, may explain this
discrepancy. We also examined growth of the napM deletion (ΔnapM) under stress
conditions generated using the disinfectants (general environmental stressors) and
antibiotics targeting different cellular processes (i.e., cell envelope biosynthesis,
lipoarabinomannan biosynthesis, arabinogalactan biosynthesis, transcription,
replication). The ΔnapM strain exhibited delayed adaptation and reduced growth
compared to the WT strain when exposed to agents that directly target cell envelope
integrity—such as vancomycin, ethambutol, benzalkonium chloride (BAC), nisin—and
indirectly, like triclosan, underscoring the role of NapM in cell envelope resilience. In
the presence of rifampicin, a transcription inhibitor, ∆napM cells exhibited significantly
reduced growth. Unexpectedly, treatment with novobiocin, a gyrase B subunit inhibitor,
resulted in enhanced growth of the mutant strain ( Fig. 7) suggesting the NapM -
mediated bypassing mechanism for maintaining proper chromosomal DNA topology
under treatment with this antibiotic . For the NapM↑ strain, we observed a noticeable
difference in growth only in the presence of vancomycin and nisin, with a significant
reduction in growth compared to the WT strain (see Fig. S5).
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Figure 7. Loss of napM affects the growth of M. smegmatis under various stress
conditions. Growth curves of the ΔnapM strain compared to the M. smegmatis mc2 155 wild-
type strain (WT).
Additionally, we tagged NapM with FLAG and analyzed the fusion protein level during
the growth of M. smegmatis and under various stress conditions . The NapM levels
were elevated in exponentially growing M. smegmatis upon exposure to all tested
stressors, with notable increases observed following treatment with ethambutol and
disinfectant - BAC and triclosan ( Fig. S6). These three stressors compromise the
integrity of the cell envelope: BAC disrupts the cell membrane through direct physical
damage; triclosan inhibits fatty acid biosynthesis, which indirectly affects membrane
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stability; and ethambutol inhibits arabinosyltransferases (EmbA-C), which disrupts the
formation of the cell wall carbohydrates arabinogalactan and lipoarabinomannan.
In summary, NapM appears to play a pivotal role in mediating mycobacterial adaptation
to stressors targeting the cell envelope (e.g., BAC, EMB, triclosan), transcriptional
machinery (e.g., rifampicin), and DNA supercoiling (e.g., novobiocin).
NapM localizes in the septum in response to stress
Given that NapM is a stress -induced DNA -binding protein, we investigated its
subcellular localization under both optimal and stress conditions. Previous studies
demonstrated that NapM colocalizes with chromosomal DNA in E. coli cells (21), a
finding we confirmed in our experiments (Fig. S7). To analyze the localization of NapM
during the M. smegmatis cell cycle, we constructed a strain with napM fused to the
mneongreen gene at the native locus (NapM -mNeonGreen strain). Fluorescence
microscopy of NapM -mNeonGreen cells under optimal conditions revealed a diffuse
distribution of the fusion protein, with no distinct localization (Fig. 8A, left panel).
Interestingly, upon exposure to ethambutol (Movie 1), when the level of NapM is
elevated (Fig. S6), the NapM-mNeonGreen fusion protein exhibited distinct localization
at the newly formed septum. However, this phenomenon was observed in only a small
fraction of dividing cells. Notably, mycobacteria exhibit cell -to-cell heterogeneity,
particularly in re sponse to environmental stress including antimicrobial compounds
(35).
To further explore this specific septal localization, we constructed a merodiploid strain
containing an additional napM-mneongreen fusion gene under the control of an
inducible promoter (NapM-mNeonGreen↑ strain), while retaining napM-mneongreen at
the native locus. This approach enabled us to examine whether elevated NapM levels
(Fig. S8, Fig. S9A ) would enhance or stabilize its septal localization. Although the
NapM-mNeonGreen↑ strain displayed a stronger fluorescence signal compared to the
native NapM -mNeonGreen strain, no distinct localization patterns were observed
under optimal conditions ( Fig. 8A, right panel ). However, upon EMB treatment,
fluorescence intensity markedly increased in both strains ( Fig. 8B), and robust septal
localization of NapM -mNeonGreen was evident in the majority of dividing cells in
merodiploid strain (Fig. 8C, Movie 2). A similar NapM localization was also detected
in response to triclosan exposure ( Fig. S10). The NapM-mNeonGreen fusion protein
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was observed at the septum for approx. 40 – 50 minutes (40 ± 19.63 min for NapM -
mNeonGreen and 50 ± 22.62 min for NapM -mNeonGreen↑, n = 87, Fig S11A) and
disappeared immediately after division (i.e., V -snapping) (Fig 8D upper panel). High
resolution microscopy using Lattice SIM further confirmed the septal localization of the
NapM-mNeonGreen fusion protein following EMB treatment ( Fig. 8D, lower panel ).
Additional experiments employing FM5 -95 dye (a cytokinesis marker) and TMR -
Trehalose dye (a mycolic acid marker) verified that NapM -mNeonGreen indeed
colocalizes with the newly formed septum (Fig. 8E). Analysis of cells exhibiting septal
localization of NapM revealed that NapM-mNeonGreen↑ cells were longer than their
NapM-mNeonGreen counterparts (3.42 ± 0.77 µm vs. 2.86 ± 0.59 µm; t(198) = 5.77, p
= 7.9 × 10 ⁻⁸, n = 100 per group; see Fig. S11B). Interestingly, these observations
contrast with the previously reported phenotype of NapM↑ cells under optimal
conditions, which were shorter than those of the Control ↑ strain. Furthermore, we
observed that NapM-mNeonGreen↑ cells with septal localization of NapM exhibited a
greater degree of asymmetric division compared to NapM -mNeonGreen cells ( Fig.
S11C).
Taken together, these results show that the subcellular localization of NapM differs
from that of previously characterized NAPs in Mycobacterium. Under optimal
conditions, the NapM-mNeonGreen signal is diffused through the entire cell, with no
discrete fluorescent foci. However, upon exposure to the cell envelope-targeting drugs,
ethambutol, and triclosan, it localizes in the septum, suggesting that NapM might play
a role in modulating cell division when encountering stressors that affect the integrity
of the cell envelope.
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Figure 8. NapM localizes to the septum after treatment with ethambutol (EMB). A. NapM-
mNeonGreen localization under optimal conditions. Scale bar, 1 µm. TL – transmitted light. B.
Averaged fluorescence profile measured along the long axis of the cell (n = 100) and
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kymograph for a representative cell expressing NapM-mNeonGreen from the native locus and
C. for cells overexpressing NapM-mNeonGreen (NapM–mNeonGreen↑). D. Time-lapse
analysis of the M. smegmatis NapM-mNeonGreen↑ strain, showing localization of NapM-
mNeonGreen at the septum area (yellow rectangles) after exposure to EMB. Scale bar, 1 µm.
E. NapM-mNeonGreen and NapM-mNeonGreen↑ cells stained with cytokinesis marker, FM5-
95, showing colocalization of NapM -mNeonGreen complexes with the formed septum after
EMB treatment. The right panel presents high -resolution image of a representative NapM-
mNeonGreen↑ cell after EMB treatment, acquired utilizing Lattice SIM imaging. Scale bar, 1
µm. TL – transmitted light.
Discussion
Our data revealed that NapM, annotated as a PadR-family transcriptional regulator, is
a highly conserved protein within the Mycobacterium genus (Fig. S1 ), and forms
homodimers (Fig. 1A) - a feature supported by the recently resolved crystal structure
of M. tuberculosis NapM (https://www.rcsb.org/structure/8JXK). While the level of
NapM is significantly lower than that of other NAPs like HupB or mIHF, it increases
markedly in response to cell envelope -targeting agents, such as benzalkonium
chloride, ethambut ol, and triclosan ( Fig. S 6). This observation suggests that NapM
plays a crucial role in the adaptation of M. smegmatis to antimicrobial stress.
Consistent with this hypothesis, the absence of NapM had only a marginal effect on
growth under optimal conditions, slightly prolonging the lag phase, but significantly
impaired growth under stress conditions ( Fig. 7). Interestingly, the ΔnapM strain
displayed enhanced growth in the presence of novobiocin, gyrase B inhibitor. Although
no changes were detected in the transcripts of gyrB (MSMEG_005) or MSMEG_0457
(encoding the DNA topoisomerase IV subunit B), the upregulation of MSMEG_1229,
annotated as a homolog of gyrB (which lacks in M. tuberculosis), may compensate the
novobiocin action.
Unlike in M. tuberculosis , NapM in M. smegmatis does not appear to regulate
chromosome replication at the initiation stage (Fig. 3, Fig. S3 ), as it presumably not
interacts with the DnaA protein. Instead, RNA-Seq analysis (see Table S4) suggests
that NapM indirectly inhibits DNA replication by modulating the transcription of the
dnaN and dnaQ genes encoding the β and ε subunits of DNA polymerase III,
respectively. Under nutrient-limiting conditions, the absence of NapM may disrupt the
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metabolic network, thereby impairing the stress response, as evidenced by the overall
slowdown of the cell cycle (see Fig. 3 ). Hence, NapM is likely to orchestrate
chromosome replication dynamics under stress by finely regulating the expression of
genes essential for DNA synthesis and cellular metabolism.
Deletion of napM resulted in altered transcription of over 2, 000 genes ( Fig. 4A ),
including those involved in cell envelope synthesis, particularly the biosynthesis of
polar lipids such as PI, PIM, LM, and LAM (Table S4 and Fig. 5D). Lipid profiling using
TLC and MALDI -TOF revealed an enrichment of PIMs, especially PIM 2, and
a concomitant reduction in acylated PIM 2 species (Ac 1PIM2) in the ΔnapM strain
compared to the wild -type strain ( Fig. 5A -C). These findings are consistent with
transcriptomic data showing downregulation of MSMEG_2934, which encodes an
acyltransferase homologous to Rv2611 from M. tuberculosis. This enzyme catalyzes
the acetylation of PIM 2 to form Ac 1PIM2/Ac2PIM2, precursors for more complex
structures such as LM and LAM (36). Notably, deletion of MSMEG_2934 in the wild-
type strain produced a lipid profile (29) similar to that observed in the ΔnapM strain
(Fig. 5, 6).
Beyond polar lipids, genes involved in peptidoglycan (PG) biosynthesis and cell
division were also dysregulated in the ΔnapM strain (Table S4), highlighting the role of
NapM in coordinating cell envelope biosynthesis and division under stress. These
disruptions likely explain the elongated cell morphology observed under optimal
conditions (Fig. 2A) and the growth defects exhibited by ΔnapM cells when exposed
to cell envelope-targeting stressors (Fig. 7).
Contrary to its initial classification as a NAP, NapM did not exhibit distinct nucleoid
localization under optimal growth conditions in M. smegmatis cells (Fig. 8A) and did
not affect the nucleoid -to-cell length ratio in ΔnapM cells (Fig. S 2B). However, the
nucleoid was less compacted (i.e., elongated) in ΔnapM cells (Fig. 2D ). This
phenotype may result from reduced molecular crowding and weaker depletion forces
in elongated cells, or from NapM potential role in modulating chromosome architecture.
Remarkably, under exposure to ethambutol (Fig. 8C-E) or triclosan (Fig. S10), NapM
displayed unique septal localization in dividing cells ( Movie 1 , Movie 2 ) - a
phenomenon not reported for any other NAP studied to date.
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Given its stress -induced septal localization (Fig. 8) and RNA-Seq data showing that
NapM regulates genes encoding cell envelope components (Figs 4 and 5, Table S4),
we propose that NapM influences cell division process through a dual mechanism. In
addition to activating cell envelope -related genes, NapM may interact with divisiome
components, thereby facilitating septum formation and protecting chromosomes from
guillotining. Supporting t his hypothesis, NapM upregulates key division -associated
genes, such as wag31 gene (encoding a DivIVA homolog) (37, 38) crgA (encoding
CrgA, which interacts with DivIVA) (39), and ssd (MSMEG_6171), all of which are
essential for polar growth and septum formation (40).
Although NapM was initially perceived as a NAP, our findings characterize it as a
pleiotropic regulator that modulates cell envelope composition, cell division, and
chromosome replication dynamics. By modulating the transcription of critical genes,
NapM enables M. smegmatis adapt to environmental stress and preserve cellular
integrity. However, its lack of chromosomal localization, its unique stress -induced
septal localization, and its involvement in polar lipid biosynthesis challenge its
designation as a NAP (Fig. 9). These findings raise an intriguing question: if NapM is
not a true NAP, how should this multifaceted protein be classified?
Figure 9. A graphical visualization depicting the role of NapM in M. smegmatis as both
a stress-induced regulator and potential component of the divisome.
Materials and methods
RNA isolation
Total RNA was isolated as previously described (41, 42). Cells were cultured in 50 ml
to OD600 8 - 1.2, pelleted, resuspended in 300 μl DEPC H 2O, transferred to a clean
Eppendorf tube, and mixed with 900 μl TRIzol LS (Invitrogen) at a 1:3 ratio. After being
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22
briefly vortexed, the mixture was transferred to a new tube with zirconia beads
compatible with the MP FastPrep24 homogenizer (VWR). The sample was cooled on
ice for 5 minutes and then homogenized (2x45 sec; 6 m/s) with intermittent cooling on
ice. The lysate was cleared by centrifugation (12 ,000 x g, 5 -7 minutes, 4 oC), and the
supernatant was transferred to a new Eppendorf tube. To obtain the water-soluble
fraction, the supernatant was incubated for 5 minutes at room temperature in a laminar
flow hood. Chloroform (250 μl) was added and the mixture was vortexed, placed on
ice, mixed vigorously for ~ 2 minutes, incubated on ice for 10 minutes, and centrifuged
(12,000 x g, 4oC, 15 min). The aqueous phase (upper layer) was transferred to a new
Eppendorf tube and supplemented with isopropanol (1V), sodium acetate (1:10, 5M ,
pH 5.2) , and Glyco Blue co -precipitant (Thermo Fisher Scientific), the mixture was
vortexed, and RNA was precipitated for two days at -80oC. The tube was centrifuged
(20,000 x g, 4 oC, 30 min), and the precipitated RNA was resuspended with 500 μl of
70% ethanol (prepared with DEPC -treated water) and pelleted by centrifugation
(20,000 x g, 4oC, 30 min). The obtained RNA pellet was air-dried in an open Eppendorf
tube, suspended in 50 -55 μl DEPC-treated water, and either stored at -80oC or
immediately subjected to DNase digestion. DNase digestion was performed using 10
μg of RNA in a total volume of 50 μl at 37oC for 15 minutes with DNase I (A&A Biot).
The RNA was then purified using magnetic beads (MagBind), eluted with 30 µl DEPC-
treated water supplemented with RiboLock RNase inhibitor (Thermo Fisher Scientific),
and stored at -80oC for further procedures.
RNA-Seq
Total RNA of each analyzed strain was subjected to rRNA depletion utilizing the Pan-
Actinobacteria riboPOOL (siTOOLs BIOTECH) and its corresponding protocol.
Subsequently, the KAPA RNA HyperPrep kit (KK8544, ROCHE) was employed
following the manufacturer's instructions. Illumina system -compatible adapters,
incorporating sample -specific 8 -nucleotide-long barcoding sequences, were ligated,
and cDNA libraries were PCR amplified. The resulting sequencing libraries were
assessed on an Agilent 2100 Bioanalyzer with a DNA 1000 chip and quantified through
real-time PCR using the NEBNext Library Quant kit for Illumina (New England Biolabs).
Raw sequencing data were generated on a NextSeq500 platform (Illumina) using
paired-end 75 -cycle sequencing run -compatible reagents (150 cycles, NextSeq
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500/550 Mid Output v2 sequencing kit; Illumina). Biological triplicates were prepared
and sequenced for each growth condition.
For analysis of RNA -seq data, the initial processing involved demultiplexing and
removal of library adapters (implemented with Cutadapt v.1.3) (43). A filtering step was
used to exclude short reads (<20 bp) and those with low quality (<30%) using Sickle
script v.1.33 (44)The subsequent alignment of high-quality reads to the M. smegmatis
mc2 155 genome (retrieved from NCBI, accession number NC_008596) was
performed using the Bowtie2 short -read aligner (45). The r esulting BAM files,
containing read-mapping coordinates, were indexed and sorted with SAMtools v.1.7
(46) for data visualization (Integrative Genomics Viewer (44) and mapping of read
counts to gene features (HTSeq.count script (47)). The read counts from individual
samples were consolidated into a count matrix and submitted to the online differential
expression RNA -seq analysis platform , Degust
(http://doi.org/10.5281/zenodo.3501067). The analysis utilized default parameters and
the voom/limma method (48) was selected for final data evaluation. Visual
representation of the differential expression data was achieved through the creation of
a volcano plot and heatmaps, using the Python Seaborn software suite
(https://pypi.org/project/seaborn). Raw sequence reads and processed data (count
matrix) were submitted to data repository GEO (NCBI) and is available under this
accession (GSE275852).
Fluorescence microscopy
To visualize NapM in E. coli cells, the PCR-amplified product, generated using primers
pACYC_napM_Fw and pACYC_mNG_NheI_Rv (Table S1), was cloned into the NcoI
and HindIII sites of the pACYCDuet™-1 vector (Sigma). Transformants were selected
on LB agar supplemented with chloramphenicol. The resulting plasmid was verified by
PCR and sequencing, and transformed into E. coli BL21(DE3) cells. Positive clones
were used in fluorescence microscopy experiments. An overnight culture of the
transformants was grown in LB liquid medium supplemented with chloramphenicol and
a small portion of the culture was used to inoculate fresh medium. Once the culture
reached an OD 600 of 0.4 –0.6, isopropyl β-D-1-thiogalactopyranoside (IPTG) was
added to a final concentration of 1 mM, and the culture was incubated for 1 hour.
Subsequently, 1 ml of the culture was stained with the chromosomal dye DAPI
(Molecular Probes) at a final concentration of 2 µg/ml for 2 0 minutes. Cells were
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24
centrifuged at 5000 × g for 5 minutes, washed with phosphate -buffered saline (PBS),
and resuspended in PBS. The suspension was smeared onto microscopic slides. As a
negative control, E. coli BL21(DE3) cells transformed with an empty pACYCDuet ™-1
vector were used.
To visualize NapM fluorescence fusion proteins, snapshot analysis was performed on
exponential-phase M. smegmatis cells (OD600 = 0.8 –1.2). Overnight cultures of M.
smegmatis were grown in 7H9 medium supplemented with ADC and 0.05% Tween 80.
The culture was centrifuged at 5000 × g for 5 minutes at room temperature, and the
pellet was washed once with PBS and resuspended in PBS. For cell membrane
visualization, log-phase cells (OD600 = 0.8 –1.2) were stained with FM5 -95 dye (0.5
µg/ml; Thermo Fisher Scientific). For cell wall visualization, 6-TMR Tre (100 µM; Torcis
Bio-Techne) was used, and for chromosomal staining, Hoechst 33342 (1 µg/ml; VWR)
was applied. In each case, 1 ml of cells was incubated with the dye for 30 minutes at
37°C with continuous agitation at 180 rpm, followed by centrifugation at 5000 × g for 5
minutes at room temperature. The pellet was then washed with PBS and the cells
resuspended in PBS. All samples were mounted on Teflon -coated glass slides with
1.2% agarose and examined using a Leica DM6 epifluorescence microscope equipped
with a 100×/1.4 oil objective and appropriate filters (DAPI, GFP, mCherry). Images
were analyzed using Fiji software (49) and R software (R Foundation for Statistical
Computing, Austria; http://www.r-project.org) with the ggplot2 package.
Time-lapse fluorescence microscopy (TLFM)
Overnight liquid cultures of Mycobacterium smegmatis (OD600 ~ 0.5) were observed
using an ONIX microfluidics system. Briefly, 70 µl of bacterial culture was introduced
into the cell inlet well of the ONIX B04A plate (Merck). For each experiment, the first
two wells were flushed with PBS, and 150 –300 µl of 7H9 medium supplemented with
ADC and 0.05% Tween80 was loaded into each well. Once the cells were loaded into
the observation chamber, they were washed for 45 minutes with the medium under 3
psi pressure. Subsequently, the cells were cultivated for 24 hours under 1.5 psi. Where
required, cells were exposed to antibiotics for 6 hours under 1.5 psi, after which the
antibiotic was removed by washing with the previously used medium. To induce
nutrient-restricted conditions, the flow of the medium was halted following the washing
step. Images were captured automatically at 10 -minute intervals using a Delta Vision
Elite inverted microscope equipped with a UPlanFL N 100×/1.3 Oil Ph3 objective and
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25
an environmental chamber set to 37°C. Time -lapse images were analyzed using Fiji
software (49) and R (R Foundation for Statistical Computing, Austria; http://www.r-
project.org), with data visualization performed using the ggplot2 package.
Lattice SIM
Exponential-phase cells (OD600 = 0.8–1.2) exposed to ethambutol were imaged using
an Elyra 7 (Zeiss) inverted microscope equipped with an sCMOS 4.2 CL HS camera
and an alpha Plan -Apochromat 100×/1.46 Oil DIC M27 objective, along with an
Optovar 1.6× magnification changer. Fluorescence was excited using a 488 nm laser
(100 mW), and signals were captured through a multiple -beam splitter
(405/488/561/641 nm) and corresponding laser -block filters (405/488/561/641 nm).
Samples were prepared on agar pads (1% agarose in Milli-Q water, poured into 1.0 ×
1.0 cm GeneFrames; Thermo Fisher Scientific). Cells were illuminated with a 488 nm
laser at 5% intensity and a 30 ms exposure time in Lattice-SIM mode, consisting of 15
phases. Image reconstruction was performed using ZEN 3.0 SR software (Zeiss) with
standard parameters. Images were analyzed using Fiji software (49) and R (R
Foundation for Statistical Computing, Austria; http://www.r -project.org), with the
ggplot2 package utilized for data visualization.
Bacterial two-hybrid system
To verify the dimerization of Mycobacterium smegmatis NapM, we employed the
Bacterial Adenylate Cyclase Two-Hybrid System (BACTH System Kit, EUROMEDEX).
Briefly, derivatives of pUT18, pUT18C, pKT25, and pKNT25 were generated through
PCR amplification using primers BTH_xbaI_napM_Fw and BTH_kpnI_napM_Rv
(Table S1). The resulting products were initially cloned into the pGEM -T Easy vector
(Promega) and then subcloned into backbone vectors through restriction cloning. The
experimental procedures were conducted a ccording to the manufacturer's guidelines
provided in the BACTH System Kit. Transformants were plated on LB agar
supplemented with IPTG, kanamycin, ampicillin, and X -gal, and incubated for 2 days
at 30°C. Plate images were captured using a Chemi Doc MP (Bio-Rad).
Total lipid extraction and TLC analysis
Total lipids were extracted from dry (50 mg) and wet (400 mg) cell masses of
Mycobacterium smegmatis wild-type and ΔnapM strains. Each collected cell pellet was
dissolved in water and subjected to chloroform -methanol (1:2, v/v) extraction. The
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combined extracts were partitioned in a chloroform -methanol-water mixture (1:2:0.8,
v/v/v), and the organic phase was collected and dried at 40°C under a stream of
nitrogen.
The obtained total lipids were dissolved in chloroform to a final concentration of 50
mg/ml. Equal amounts of lipid extracts were applied to silica gel 60-precoated HPTLC
or TLC plates (Merck; layer thickness, 0.2 mm). Lipids were analyzed using TLC with
a chloroform-methanol-water (60:30:6, v/v/v) solvent system. For visualization, TLC
plates were sprayed with orcinol, vanillin, and iodine vapor, then heated at 120°C.
MALDI-TOF
MALDI-TOF mass spectrometry was performed using an ultrafleXtreme spectrometer
(Bruker). Spectra were measured in reflectron negative ion mode with the following
parameters: ion source 1, 20.0 kV; ion source 2, 17.95 kV; lens, 6.5 kV; reflector, 21.10
kV; and reflector 2, 10.72 kV. The mass range analyzed was 700 –3500 Da, using
flexControl 3.4 software (Bruker). Approximately 2 000 laser shots were totaled from
one spot. The flexAnalysis 3.4 software (Bruker) was used for data analysis.
Norharman (β-carboline) was used as the matrix.
Statistical Analysis and data visualization
Each experiment was conducted with three biological replicates for each strain.
Levene's test was performed in RStudio (R Foundation for Statistical Computing,
Austria; http://www.r-project.org) using the car package to assess variance equality.
Depending on the results, either Student's t-test (for equal variances) or Welch's t-test
(for unequal variances) was applied. Statistical analyses and visualizations were
carried out in RStudio using the ggplot2 and stats packages (R Foundation for
Statistical Computing, Austria; http://www.r-project.org). Additional data visualizations
were created using BioRender (https://www.biorender.com/). Significance levels were
defined as follows: ns (not significant), ** – p < 0.01 *** – p < 0.001; **** – p < 0.0001.
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Acknowledgments
The authors are grateful to Agnieszka Strzałka for the assistance in RNA-Seq data
analysis and Tomasz Łebkowski for critically reviewing the manuscript.
Author contributions
JZ-C, JH, KM contributed to the conception and design of the study. KM, YL, PP
optimize and performed RNA -Seq experiments and KM, PP , and JP analyzed RNA -
Seq data. KM, JH, and JZ -C wrote the original draft. JP, MP, PP reviewed and edited
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted December 2, 2024. ; https://doi.org/10.1101/2024.11.29.625984doi: bioRxiv preprint
33
the manuscript. KM performed analysis, and visualized data. KM, MP, YL, PP and JH
performed experiments. JZ -C delivered resources and raised funds. All authors
contributed to the article and approved the submitted version.
Competing interests
The authors declare that the research was conducted in the absence of any
commercial or financial relationships that could be construed as a potential conflict of
interest.
Materials
& Correspondence
Materials
and correspondence should be addressed to Jolanta Zakrzewska -
Czerwińska or Joanna Hołówka.
Funding
This work was financed by a National Science Centre Opus 19 gran t
(2020/37/B/NZ1/00556).
Data availability statement
The original contributions presented in the study are included in the
article/Supplementary Material. RNA-Seq data were deposited in the Gene Expression
Omnibus (GEO), a public repository for functional genomics data, and are available
under accession number #GSE275852. Further inquiries can be directed to the
corresponding authors.
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted December 2, 2024. ; https://doi.org/10.1101/2024.11.29.625984doi: bioRxiv preprint
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