Genetic stability of Mycobacterium smegmatis under the stress of first-line antitubercular agents

  1. Dániel Molnár
  2. Éva Viola Surányi
  3. Tamás Trombitás
  4. Dóra Füzesi
  5. Rita Hirmondó  Is a corresponding author
  6. Judit Toth  Is a corresponding author
  1. Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Hungary
  2. Doctoral School of Biology and Institute of Biology, ELTE Eötvös Loránd University, Hungary
  3. Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Hungary
5 figures, 4 tables and 3 additional files

Figures

Figure 1 with 2 supplements
Cell length distribution of M.smegmatis cells treated with different drugs.

Horizontal lines represent the mean of the plotted data points (n=84–212). The inset shows the fold changes in cell length compared to the untreated control on a log2 axis, highlighting the phenotypic effect of each treatment. * indicates data significantly different from the control at p=0.0001. Numerical values and additional statistical parameters are provided in Figure 1—source data 1.

Figure 1—source data 1

Cell dimensions of M. smegmatis treated with different drugs.

https://cdn.elifesciences.org/articles/96695/elife-96695-fig1-data1-v1.docx
Figure 1—figure supplement 1
Treatment optimization in liquid culture.

Effects of treatment on Mycobacterium smegmatis mc2-155 wild-type liquid cultures during the exponential growth phase. Relative growth inhibition is expressed as the % OD600 ratio between treated and control liquid cultures for isoniazid (INH), ethambutol (EMB), ethambutol (RIF), and pyrazinamide (PZA) (latter grown in pH 5.5 acidic media). For ciprofloxacin (CIP) and mitomycinC (MMC), it is represented as the % ratio of colony-forming units (CFUs) following an 8 hr treatment.

Figure 1—figure supplement 2
Treatment optimization on agar plates.

Relative viability is calculated based on the colony-forming unit (CFU) counting of exponentially growing wild-type M. smegmatis cultures on control and selective plates containing the corresponding antibiotic at different concentrations. Incubation: 60 hr at 37°C.

Mutation accumulation (MA) experiment and the resulting genotypic and phenotypic changes in wild-type M.

smegmatis mc2155 strains under antibiotic pressure. (A) Experimental design. (B) Mutation rates determined through genome sequencing of the drug-treated cells as an output of the MA process. UV(+) serves as a control reference for DNA damage. Columns represent averages, and error bars indicate the standard deviations of three individually sequenced samples. Statistical significance is marked by an asterisk (*), with a p-value of 0.05. For numerical data see Figure 2—source data 1. (C) Phenotypic drug sensitivity in drug-treated strains. Three individual minimal inhibitory concentration (MIC) determinations are presented, with the mean indicated by a horizontal line. For numerical data see Figure 2—source data 2.

Figure 2—source data 1

Numerical data for mutation rates of wild-type M. smegmatis mc2155 strains under antibiotic pressure.

https://cdn.elifesciences.org/articles/96695/elife-96695-fig2-data1-v1.docx
Figure 2—source data 2

Phenotypic drug sensitivity (MIC) in drug- treated strains.

https://cdn.elifesciences.org/articles/96695/elife-96695-fig2-data2-v1.xlsx
Figure 3 with 3 supplements
Changes in the expression of DNA repair genes upon stress treatments.

Gene expression changes are normalized to the mock-treated control using the SigA and Ffh reference genes. Upregulation is numerically interpreted as fold change; downregulation is interpreted as –1/ (fold change) in the heatmap. *p<0.1; **p<0.05. For raw data see Figure 3—source data 1.

Figure 3—figure supplement 1
Stability analysis of reference genes using the geNorm algorithm.

(A) Stability, denoted as 1/ln(M), where M represents the average pair-wise variation among the tested reference genes across all samples (including six treatments and controls, with three biological and three technical replicates each). M values were computed using the BioRad CFX Maestro software. Reference gene stability is considered acceptable within the 0–1 stability range and deemed unstable below 0, as determined by the software. ProC was excluded from the study due to its demonstrated instability. (B) Pairwise comparison of the two accepted reference genes.

Figure 3—figure supplement 2
Specificity assessment of the employed primers.

Melt curve analysis of amplicons generated from target genes in the Mycobacterium smegmatis genome. The sequences of both forward and reverse primers are detailed in Supplementary file 1.

Figure 3—figure supplement 3
Heatmap with clustering for gene expression changes upon treatment.

The color scale is based on the mean relative gene expression changes compared to nontreated controls (fold change for upregulation and –1/fold change for downregulation). The color intensity in this heatmap is relative within each row and is not comparable to the color scale in Figure 3. Hierarchical clustering was performed using the one-minus Pearson correlation metric and the average linkage method. The figure was created using the Morpheus online heatmap generating tool (https://software.broadinstitute.org/morpheus/).

First-line antituberculotic treatments and DNA damaging agents alter dNTP concentrations in the cell.

(A–F) Cellular dNTP concentrations in drug-treated M. smegmatis. dNTP levels were measured in cellular extracts and normalized to the average cell volume for each treatment, yielding the concentrations shown. Each drug treatment and dNTP quantification included a corresponding control to account for potential fluctuations in growth and experimental conditions. Note the different scales on the y-axis. Data bars represent the averages of three biological replicates each carried out in three technical replicates; error bars represent SE. The p-values from the t-tests calculated for the measured differences are provided in Figure 1—source data 1, with significance indicated in the figure by asterisks as follows (**) for p<0.04 and (*) for p<0.07. (G) dNTP pool compositions of drug-treated bacteria. The large error bars in the control data arise from the combination of individual controls measured for each treatment. (H) Summed molar concentration of all four dNTPs compared to the control for each treatment. The y-axis is on a log2 scale to equally represent both increases and decreases. (I) Correlation of relative cell size (determined from cell lengths, compared to control cells) to relative total dNTP concentration for each treatment.

Figure 4—source data 1

dNTP concentrations in cellular extracts upon treatment with drugs.

https://cdn.elifesciences.org/articles/96695/elife-96695-fig4-data1-v1.docx
Figure 5 with 1 supplement
Phenotypic ciprofloxacin (CIP) tolerance assay.

(A) Scheme of the fluctuation test used in the study. (B) Development of phenotypic resistance to a selecting CIP concentration following preincubation with a sublethal CIP concentration for various time periods. Data bars represent the averages of three biological replicates each carried out in three technical replicates; error bars represent SE.

Figure 5—figure supplement 1
Ciprofloxacin (CIP) tolerance of M. smegmatis preincubated for 96 hr on CIP-containing plates sent for Whole Genome Sequencing (WGS).

Wild-type (WT) M. smegmatis colony was cultivated in LEMCO broth to reach OD = 0.4–0.5, then striked onto plates containing 0.5 µg/ml CIP; 0.3 µg/ml CIP or onto non-selecting plates and grown for 4 days at 37 °C. Data bars represent the averages of three biological replicates each carried out in three technical replicates; error bars represent SE.

Tables

Table 1
Summary of the applied drug treatments and their phenotypic consequences.
TreatmentLiquid culture experimentsAgar plate experiments
CategoryLong nameAbbreviationMechanism of actionSubinhinitory concentrationCFU compared to controlCell length [μm]Cell width [μm]Subinhinitory concentrationCFU compared to control
First line antibioticsIsoniazidINHCell wall synthesis inhibitor150 μg/ml80%1.8±0.50.41±0.072 μg/ml2.2 %
EthambutolEMB100 μg/ml70%2.0±0.80.55±0.170.2 μg/ml10.5 %
RifampicinRIFRNA synthesis inhibitor3 μg/ml60%6.6±2.40.68±0.0925 μg/ml0.00052 %
Combination treatmentCOMBOWHO first line therapy10 μg/ml PZA, 15 μg/mL INH, 10 μg/ml EMB, 0.3 μg/mL RIF6%2.8±0.70.47±0051 μg/ml PZA, 0.2 μg/mL INH, 0.02 μg/ml EMB, 2.5 μg/mL RIF0.39 %
Second line antibioticsCiprofloxacinCIPGyrase inhibitor0.3 μg/ml20%11.1±4.00.59±0.10.3 μg/ml0.00018 %
DNA damage controlsMitomycin-CMMCDNA alkylation0.01 μg/ml20%9.8±4.60.68±0.110.0005 μg/ml0.96 %
Ultraviolet radiationUVPyr dimers, DSBsNDNDNDND150 J/m211 %
N/ANon-treatedMockN/AN/A100%2.8±0.90.44±0.08N/A100 %
Table 2
Analysis of the genomic changes detected in the mutation accumulation experiment using whole genome sequencing.
Chromosome positionSampleReferenceMutationAA mutationGene codeUniProt protein nameGene ontology (GO)Experiment
5214897cip_bAAGLeu87 frameshift 148stopMSMEG_5116Uncharacterized proteinN/AMutation accumulation (MA)
3614832cip_bCTPro139LeuMSMEG_3554N5,N10-methylene-tetrahydromethanopterin reductasexidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen [GO:0016705]
2208516cip_bGGALeu282 frameshift 283stopMSMEG_2133Uncharacterized proteinN/A
5861538cip_cGGCLeu168 frameshiftMSMEG_5792UPF0678 fatty acid-binding protein-like protein MSMEG_5792/MSMEI_5639intracellular transport [GO:0046907]
3415264cip_cTTCLeu206 frameshift 257stopMSMEG_3338Oxidoreductase, FAD/FMN-bindingFMN binding [GO:0010181]; oxidoreductase activity [GO:0016491]
2033295cip_cAAGLeu72 frameshift 258stopMSMEG_1954ABC1 family proteinN/A
1988098cip_cAAGN/AIntergenic regionintergenicN/A
1533730inh_bCCTCGAsp201_INSERTIONMSMEG_1431Cytochrome P450-terp (EC 1.14.-.-)heme binding [GO:0020037]; iron ion binding [GO:0005506]; monooxygenase activity [GO:0004497]; oxidoreductase activity, acting on paired donors, with incorporation or reduction of molecular oxygen [GO:0016705]
994997inh_CGAN/AintergenicN/A
5777585inh_CCTVal99MetMSMEG_5688Regulatory protein, MarRGO:0003700 DNA-binding transcription factor activity; GO:0006355 regulation of DNA-templated transcription
1508883mmc_aCGAla300Ala (neutral)MSMEG_1407N/AN/A
4598387mmc_aCGAla371ArgMSMEG_4513Polyketide synthasetransferase activity, transferring acyl groups [GO:0016746]
6786854mmc_aGATrp104stopMSMEG_67401-aminocyclopropane-1-carboxylate deaminase (EC 3.5.99.7)1-aminocyclopropane-1-carboxylate deaminase activity [GO:0008660]; pyridoxal phosphate binding [GO:0030170]; amine catabolic process [GO:0009310]
5313643mmc_cCTN/AintergenicN/AN/A
1865825mock_bGGCAla351 frameshiftMSMEG_1780Natural resistance-associated macrophage proteinmetal ion transmembrane transporter activity; metal ion transport; membrane;
3722101mock_bACAsn185ThrMSMEG_3656ABC transporter, permease/ATP-binding protein
58213mock_cTTCN/AMSMEG_0037tRNA-LeuN/A
4104684mock_cTCVal70AlaMSMEG_4033TetR-family protein transcriptional regulatorGO:0006350, Sequence-specific dna binding transcription factor activity, Regulation of transcription, dna-dependent
5118524mock_cCCGAsp89 frameshift 143stopMSMEG_5021Alcohol dehydrogenase, zinc-containingOxidoreductase activity, Zinc ion binding, Oxidation-reduction process
5217666mock_gGAThr200Thr (neutral)MSMEG_5119L-glutamate gamma-semialdehyde dehydrogenaseMitochondrial matrix, Oxidation-reduction process, Proline biosynthetic process, 1-pyrroline-5-carboxylate dehydrogenase activity
2970975mock_iTCArg155GlyMSMEG_29082-Keto-3-deoxy-gluconate kinasekinase activity [GO:0016301]
2970982mock_iCTArg153GluMSMEG_29082-Keto-3-deoxy-gluconate kinasekinase activity [GO:0016301]
3306164mock_iGAGlu1151Glu (neutral)MSMEG_3225Ferredoxin-dependent glutamate synthase 1 (EC 1.4.7.1)3 iron, 4 sulfur cluster binding [GO:0051538]; glutamate synthase (ferredoxin) activity [GO:0016041]; metal ion binding [GO:0046872]; glutamate biosynthetic process [GO:0006537]; glutamine metabolic process [GO:0006541]Mutation accumulation (MA)
5805844mock_iCTVal237Val (neutral)MSMEG_5721Acetyl-CoA acetyltransferasetransferase activity, transferring acyl groups other than amino-acyl groups [GO:0016747]
4987517mock_jGALeu30Leu (neutral)MSMEG_4890Alkyl hydroperoxide reductase AhpD (EC 1.11.1.28) (Alkylhydroperoxidase AhpD)alkyl hydroperoxide reductase activity [GO:0008785]; hydroperoxide reductase activity [GO:0032843]; peroxidase activity [GO:0004601]; peroxiredoxin activity [GO:0051920]; response to oxidative stress [GO:0006979]
6406902mock_jTTGN/AintergenicN/AN/A
491016mock_kCTN/AintergenicN/AN/A
2287781mock_kGAGly199AspMSMEG_2207Beta-ketothiolasetransferase activity, transferring acyl groups other than amino-acyl groups [GO:0016747]
3438752rif_aAACArg17 frameshift 175stopMSMEG_3366Isonitrile hydratase, putativeN/A
5773058rif_aCTGlu67LysMSMEG_5682Uncharacterized proteinintegral component of membrane [GO:0016021]
6220187CIPB0.3GTTrp53CysMSMEG_6151Alpha/beta hydrolase fold-1epoxide hydrolase activity [GO:0004301]Fluctuation assay with CIP treatment
Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain background (Mycobacterium smegmatis)mc2-155Snapper et al., 1990GenBank: NC_008596.1
OtherDAPI stainSigmaD954210 µg/ml
Chemical compound, drugIsoniazidSigmaI3377
Chemical compound, drugEthambutolSigmaE4630
Chemical compound, drugRifampicinSigmaR3501
Chemical compound, drugPyrazinamideSigma40751
Chemical compound, drugCiprofloxacinSigma17850
Chemical compound, drugMytomicin-CSigma10107409001
Commercial assay or kitphenol:chloroform:IAA (25:24:1)SigmaSigma: 3803For genomic DNA extraction
Commercial assay or kitWhole genome sequencingNovogene Ltd., Beijing, ChinaExecuted on Illumina 1.9 instruments with 600-basepair
fragments as 2 × 150  bp paired-end sequencing
Commercial assay or kitRNeasy Mini kitQiagenQiagen: 74524Used with RNA protect bacteia reagent (Qiagen: 76506)
and DNAse I (Qiagen: 79254)
Commercial assay or kitHigh-Capacity cDNA Reverse Transcription KitApplied BiosystemsApplied Biosystems: 437496795–105 ng total RNA was used for each reaction
OtherMytaq PCR premixBiolineBioline: 25046For qPCR measurements
OtherEvaGreenVWRVWR: #31000For qPCR measurements
Software, algorithmNucleoTIDYSzabó et al., 2020;
http://nucleotidy.enzim.ttk.mta.hu
V1.8
OtherTEMPase Hot Start DNA PolymeraseVWRVWR: 733–1838For dNTP measurements
OthermethanolSigmaFor dNTP isolation
Sequence-based reagentNDP-1Szabó et al., 2020Primer for dNTP measurementCCGCCTCCACCGCC
Sequence-based reagentFAM-dTTPSzabó et al., 2020Probe for dTTP measurement6-FAM/ AGGACCGAG/ZEN/GCAAGAGCGAGCGA /IBFQ
Sequence-based reagentFAM-dATPSzabó et al., 2020Probe for dTATP measurement6-FAM/ TGGTCCGTG/ZEN/GCTTGTGCGTGCGT /IBFQ
Sequence-based reagentFAM-dGTPSzabó et al., 2020Probe for dTGTP measurement6-FAM/ ACCATTCAC/ZEN/CTCACACTCACTCC /IBFQ
Sequence-based reagentFAM-dCTPSzabó et al., 2020Probe for dTCTP measurement6-FAM/ AGGATTGAG/ZEN/GTAAGAGTGAGTGG /IBFQ
Sequence-based reagentdTTP-DT1Szabó et al., 2020Template oligo for dTTP measurementTCGCTCGCTCTTGCCTCGGTCCTTTATTTGGCGGTGGAGGCGG
Sequence-based reagentdATP-DT1Szabó et al., 2020Template oligo for dATP measurementACGCACGCACAAGCCACGGACCAAATAAAGGCGGTGGAGGCGG
Sequence-based reagentdCTP-DT1 templateSzabó et al., 2020Template oligo for dCTP measurementCCACTCACTCTTACCTCAATCCTTTGTTTGGCGGTGGAGGCGG
Sequence-based reagentdGTP-DT2 templateSzabó et al., 2020Template oligo for dATP measurementGGAGTGAGTGTGAGGTGAATGGTTTCTTTCTTTGGCGGTGGAGGCGG
SoftwareFastQCBabraham Bioinformatics
https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
v.0.11.9
SoftwareTrimmomaticBolger et al., 2014;
http://www.usadellab.org/cms/?page=trimmomatic
Trimmomatic-0.38
SoftwareBowtie2Langmead and Salzberg, 2012;
https://bowtie-bio.sourceforge.net/bowtie2/index.shtml
2.5.4
SoftwareSamblasterFaust and Hall, 2014;
https://github.com/GregoryFaust/samblaster
0.1.26
RRID:SCR_000468
SoftwareSamtoolsLi et al., 2009;
https://www.htslib.org/
1.20
SoftwarePicardhttps://github.com/broadinstitute/picard2.23.3
RRID:SCR_006525
SoftwareGATKMcKenna et al., 2010;
https://gatk.broadinstitute.org/hc/en-us
4.1.8.1
Table 3
Oligonucleotides used for the dNTP measurements.
NameSequence (5'→3')
NDP-1 primerCCGCCTCCACCGCC
FAM-dTTP probe6-FAM/AGGACCGAG/ZEN/GCAAGAGCGAGCGA/IBFQ
FAM-dATP probe6-FAM/TGGTCCGTG/ZEN/GCTTGTGCGTGCGT/IBFQ
FAM-dGTP probe6-FAM/ACCATTCAC/ZEN/CTCACACTCACTCC/IBFQ
FAM-dCTP probe6-FAM/AGGATTGAG/ZEN/GTAAGAGTGAGTGG/IBFQ
dTTP-DT1 templateTCGCTCGCTCTTGCCTCGGTCCTTTATTTGGCGGTGGAGGCGG
dATP-DT1 templateACGCACGCACAAGCCACGGACCAAATAAAGGCGGTGGAGGCGG
dCTP-DT1 templateCCACTCACTCTTACCTCAATCCTTTGTTTGGCGGTGGAGGCGG
dGTP-DT2 templateGGAGTGAGTGTGAGGTGAATGGTTTCTTTCTTTGGCGGTGGAGGCGG

Additional files

Supplementary file 1

Nucleotide sequence and measured efficiency of primers used for the qPCR.

https://cdn.elifesciences.org/articles/96695/elife-96695-supp1-v1.docx
Supplementary file 2

User guide for whole genome sequencing (WGS) data files deposited in the European nucleotide archive (ENA).

https://cdn.elifesciences.org/articles/96695/elife-96695-supp2-v1.docx
MDAR checklist
https://cdn.elifesciences.org/articles/96695/elife-96695-mdarchecklist1-v1.docx

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  1. Dániel Molnár
  2. Éva Viola Surányi
  3. Tamás Trombitás
  4. Dóra Füzesi
  5. Rita Hirmondó
  6. Judit Toth
(2024)
Genetic stability of Mycobacterium smegmatis under the stress of first-line antitubercular agents
eLife 13:RP96695.
https://doi.org/10.7554/eLife.96695.3