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A repetitive nucleotide insertion in the rplV gene is associated with in vitro resistance to azithromycin in Rickettsia typhi

  • Weerawat Phuklia ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    weerawat@tropmedres.ac

    Affiliation Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic

  • Kiattawee Chowongkomon,

    Roles Formal analysis, Methodology, Validation, Visualization, Writing – review & editing

    Affiliation Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok, Thailand

  • Kaisone Padith,

    Roles Investigation, Methodology

    Affiliation Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic

  • Koukeo Phommasone,

    Roles Writing – review & editing

    Affiliations Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic, Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom

  • Mayfong Mayxay,

    Roles Resources, Writing – review & editing

    Affiliations Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic, Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom, Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao People’s Democratic Republic

  • Allen L. Richards,

    Roles Resources, Writing – review & editing

    Affiliations Naval Medical Research Center, Infectious Disease Directorate, Forest Glen, Maryland, United States of America, Uniformed Services University of the Health Sciences, Preventive Medicine and Biostatistics Department, Bethesda, Maryland, United States of America

  • Elizabeth M. Batty,

    Roles Data curation, Writing – review & editing

    Affiliations Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

  • Matthew T. Robinson,

    Roles Resources, Writing – review & editing

    Affiliations Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic, Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom

  • Paul N. Newton,

    Roles Conceptualization, Resources, Writing – review & editing

    Affiliations Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

  • Nicholas J. White,

    Roles Writing – review & editing

    Affiliations Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

  • Nicholas P. J. Day,

    Roles Writing – review & editing

    Affiliations Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand

  • Elizabeth A. Ashley

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliations Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao People’s Democratic Republic, Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom

Abstract

Background

Murine typhus, caused by Rickettsia typhi, is a treatable febrile illness in Laos, where azithromycin treatment failure has been reported. Antibiotic susceptibility testing for Rickettsia spp. is challenging due to absence of resistant strains. We aimed to induce an azithromycin-resistant in R. typhi and investigate its genetic basis.

Methodology

R. typhi Wilmington was cultured in azithromycin-containing media (R. typhiAZM), starting at a concentration of 0.0019 mg/L and gradually increased to 0.0625 mg/L. Resistant populations were selected up to 0.125 mg/L. MICs were determined using plaque assay and qPCR, and DNA sequencing was performed for rplD (L4), rplV (L22), and 23S rRNA domain V. Protein modeling of azithromycin-binding sites was conducted, and strain stability was assessed over 24 passages without azithromycin (R. typhi AZM (-)).

Results

MICs for wild type (R. typhiWT) and R. typhiAZM were 2 mg/L versus >16 mg/L (plaque assay) and 0.25 mg/L versus 8 mg/L (qPCR). A 15-nucleotides insertion (5’-AAAGGAAGAGCAACT-3’) was found in the rplV of R. typhiAZM, but not other isolates. Protein modeling suggested the insertion extends the L22 loop, potentially affecting azithromycin binding site within the ribosomal exit tunnel. R. typhiAZM reverted to wild type MIC and genotype by 24 passages without azithromycin. R. typhiAZM exhibited an 8 -fold higher MIC than R. typhiWT.

Conclusion

Repetitive insertion in rplV was associated with azithromycin resistance and may interfere with drug binding. R. typhiAZM was unstable without selective pressure. This approach may help generate resistant strains for assay validation. The role of rplV mutations in azithromycin susceptibility warrants further investigation.

Author summary

Murine typhus is a treatable disease, but some patients do not respond well to azithromycin, one of the commonly used antibiotics. Investigating antibiotic susceptibility of Rickettsia typhi, the bacteria that causes murine typhus, has been difficult because naturally resistant strains have not been demonstrated conclusively. In this study, we induced an azithromycin-resistant strain of R. typhi in the laboratory by gradually exposing it to increasing amounts of the drug. We discovered that resistance was linked to a small genetic change in a ribosomal protein (L22), which likely reduces how well azithromycin can attach to its target. However, when the resistant bacteria were grown without azithromycin, they eventually lost this resistance and returned to their original form. This work provides important insights for understanding treatment failure and for improving laboratory tools to study drug susceptibility.

Introduction

Murine typhus is an acute febrile illness and a neglected flea-borne disease caused by the obligate intracellular bacterium Rickettsia typhi. It is transmitted to humans via the feces of the infected flea being rubbed into bite wounds or mucous membranes [1]. The main vector is the rat flea (Xenopsylla cheopis) with rats (Rattus rattus and R. norvegicus) as the reservoir. Cat fleas (Ctenocephalides felis) from domestic cats and opossums (Didelphis virginiana) can also transmit this disease [2,3]. Murine typhus has a global distribution except for Antarctica [4]. In Laos, R. typhi is an important cause of treatable febrile illness [5] and central nervous system (CNS) infections [6]. A systematic review reported a low mortality rate (0.4%) in untreated patients; however, data from Laos are limited. A prospective study of CNS infection reported mortality of approximately 18% among patients with R. typhi/ Rickettsia spp., Orientia tsutsugamushi and Leptospira spp. combined [7]. These data are derived from severe CNS presentations and are not specific to murine typhus alone, and therefore are not representative of overall disease mortality [8]. The main antibiotics used to treat murine typhus include doxycycline, chloramphenicol and azithromycin. Azithromycin, a macrolide antibiotic used to treat various bacterial infections [9], is generally the drug of choice in pregnant women and children aged less than eight years due to concerns that tetracyclines may stain developing bones and teeth, although evidence that doxycycline also leads to staining is lacking [10]. However, a randomised clinical trial in Laos showed significantly more clinical treatment failures among patients with uncomplicated murine typhus treated with azithromycin compared to doxycycline as oral therapy [11].

The cause of these azithromycin treatment failures is unclear, raising concerns about possible differences in susceptibility or emerging resistance to azithromycin in R. typhi. Despite its clinical importance, particularly in populations where doxycycline use is limited, the mechanisms of azithromycin susceptibility and resistance in R. typhi remain poorly understood. Therefore, this study specifically focuses on azithromycin to investigate the potential factors underlying reduced treatment efficacy. One possible explanation is drug resistance, however assessing antimicrobial susceptibility in R. typhi is challenging since this intracellular organism requires host cells for replication and growth [12]. The plaque assay is the gold standard method to measure Rickettsia concentration in vitro and has been applied to determine antibiotic susceptibility [13,14]. Although this method is able to detect viable Rickettsia cultured with and without antibiotics, it is slow and is not able to quantify rickettsia in real time. The incubation period to allow R. typhi plaque formation indicating host cell death is 10–13 days, depending on the host cell type [15,16]. Quantitative PCR (qPCR) has been applied as a faster method for MIC determination for obligate intracellular bacteria, including R. typhi, for more than twenty years and has the added advantage of permitting quantification of the infecting in vitro biomass [17].

Azithromycin acts by inhibiting bacterial protein synthesis targeting the bacterial 50S ribosomal subunit [18]. Mechanisms of azithromycin resistance in different bacteria have been identified and include efflux pump gene expression and ribosomal modification resulting from mutations on the macrolide binding targets [1921]. There are three major macrolide binding targets, L4 (rplD), L22 (rplV) and 23SrRNA which are components of a large ribosomal subunit [18]. Mutations on these genes confer macrolide resistance in various bacteria including Neisseria gonorrhoeae [22], Treponema pallidum [23], Streptococcus pneumoniae [24], and Chlamydia trachomatis [25]. Culturing bacteria with low concentrations of antibiotic has been applied to study resistance in the obligate intracellular bacterium, Chlamydia trachomatis [26].

The aim of this study was to induce azithromycin resistance in the laboratory in the Wilmington strain of R. typhi by culturing it with low concentrations of the antibiotic. We evaluated the phenotypic changes by estimating the minimum inhibitory concentration (MIC) of azithromycin in the established strain and comparing it to the wild-type strain (cultured without antibiotic exposure). Additionally, we examined the genotypic characteristics by amplifying the macrolide resistance markers L4 (rplD), L22 (rplV), and 23S rRNA to investigate whether mutations occurred in the DNA sequences of the established strains compared to laboratory strains and clinical isolates.

Methods

Ethics statement

These clinical isolates were part of previous studies that were approved by the Lao National Ethics Committee for Health Research (NECHR) and National Institute of Public Health (NIOPH), Vientiane and Oxford Tropical Research Ethics Committee (OxTREC). For all studies, written informed consent was obtained from all adult participants and from parents or legal guardians of child participants prior to sample collection. Studies were approved by the Lao National Ethics Committee for Health Research (NO.25/NECHR) and the Oxford Tropical Research Ethics Committee (024–05).

Host cell culture

African green monkey kidney cells (VERO; ATCC number CCL-81) were maintained in RPMI 1640 (Gibco, Invitrogen, USA), supplemented with 10% FBS (Sigma Aldrich, USA) and incubated at 35°C in a humidified atmosphere with 5% CO2 as described previously [27].

Rickettsia typhi laboratory strains

R. typhi strain Wilmington (obtained from the Australian Rickettsial Reference Laboratory, Geelong, Australia), and R. typhi laboratory strains AZ306, AZ331, FLA6950, GER, GEAR, PAKNA, MUSSEIBOV and TA837 (obtained from the Naval Medical Research Center (NMRC), Bethesda, USA) were used (Table 1). The R. typhi Wilmington strain was used to attempt to establish a resistant strain, and DNA from available laboratory strains was extracted to amplify the macrolide target genes L4 (rplD), L22 (rplV), and 23S rRNA for comparison.

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Table 1. Summary of Rickettsia typhi laboratory strains and clinical isolates including strain origin and reference used for macrolide target gene analysis.

https://doi.org/10.1371/journal.pntd.0014249.t001

Rickettsia typhi clinical isolates

Sixteen stored R. typhi clinical isolates (Table 1) were cultured from EDTA blood from patients who participated in studies at the Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Vientiane, Lao PDR. These isolates were confirmed for R. typhi using an immunofluorescence (IFA) and qPCR [28,29]. In this study, DNA from these isolates were amplified

Rickettsia typhi inoculum preparation

To use the frozen stock of R. typhi in short term storage (≤ 2 weeks), the frozen bacteria in Sucrose-Phosphate-Glutamate (SPG) buffer were thawed at 37°C in a water bath; the bacteria were transferred to a 1.5 mL tube and centrifuged at 20,238 xg for 5 min. SPG freezing buffer was discarded and the bacteria were re-suspended in fresh cell culture media and transferred to 2 mL safe-lock microcentrifuge tubes. The cells were lysed using a vortex at maximum speed for 1 min and lysed infected cell suspension was centrifuged at 50 xg for 3 min to separate host cell debris as described in Phuklia et al., 2019 [35]. The supernatant was transferred to a fresh tube and used in the experiment based on the bacterial load (in PFU) determined by plaque assay prior to freezing.

To prepare a fresh stock of bacteria, the flask containing Vero cells infected with R. typhi, cultured for 7 days, was scraped using a cell scraper. The suspended cells were transferred to a 2 mL safe-lock microcentrifuge tube [36]. The processes of cell lysis and bacterial separation were described above. The supernatant was transferred into a fresh tube and used in the experiment. To determine the bacterial load from the fresh culture, qPCR was used.

Rickettsia typhi cultured under low concentration of azithromycin

Monolayers of Vero cells were inoculated with R. typhi (Wilmington) and cultured in 2% FBS in RPMI, either with a sub-MIC concentration 0.0019 mg/L of azithromycin (analytical standard, Sigma-Aldrich, UK; Cat. No. 75199), labelled as R. typhiAZM, or without (R. typhiWT) to act as a control. The drug concentration in R. typhiAZM was increased 2-fold every four passages or every month depending on the cytopathic effect (CPE) observed compared to the control (R. typhiWT). The CPE in R. typhiWT and R. typhiAZM was assessed by cell clumping (S1 Fig) visualized by microscopy. R. typhiAZM was maintained in culture media containing azithromycin concentrations up to 0.0625 mg/L for two years as illustrated in S2 Fig. Antibiotic susceptibility testing using the plaque assay was then determined as described below. A plaque is an area of host cells destroyed by infecting bacteria seen as a clear zone (damaged cells) around a dark zone (healthy cells) as illustrated in Fig 2B. MIC was determined as the lowest concentration of antibiotics that inhibited plaque formation.

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Fig 1. Azithromycin susceptibility testing using the plaque assay for R. typhi wild type strain, R. typhiWT and R. typhi strains under antibiotic pressure, R. typhiAZM (A and B).

Azithromycin concentrations ranging from 0.0039 to 1 mg/L were used to determine the MIC for R. typhiWT (A) and R. typhiAZM (B). Plaque formation with no antibiotic was used as a positive control and heat-inactivated bacteria (56°C for 30 min) were used as a negative control to show that the bacteria were not able form plaques. The mock well, which did not contain rickettsia, was used as a control for host cell morphology during long-term incubation (14 days) to confirm that the cells could survive until the time of evaluation. MIC was determined as the lowest concentration of antibiotic at which rickettsia was not able to form plaques. MIC for R. typhiWT as 1 mg/L whereas for R. typhiAZM it was > 1 mg/L. Images shown represent a single well from a representative plate at each azithromycin concentration. Experiments were performed independently with three replicates on separate plates, and consistent plaque phenotypes were observed across all replicates.

https://doi.org/10.1371/journal.pntd.0014249.g001

To select the antibiotic-resistant R. typhi population from the culture, R. typhi plaques that survived in media containing antibiotics at sub-inhibitory concentrations for plaque formation (R. typhiAZM) were selected along with plaques from the culture without azithromycin as the control (R. typhiWT) using a pipette tip (S2 Fig). The plaque in the agarose gel was picked using a micropipette tip and mixed with 0.9 mL of fresh media. The mixture of plaque and media was inoculated into new host cells. The culture in the flask with azithromycin was maintained in media containing 0.0625 mg/L of azithromycin for four generations to ensure the bacteria could still grow under these conditions before increasing the concentration to 0.125 mg/L and keeping in culture until determination of MIC.

Plaque assay

The plaque assay was used to detect the viability of Rickettsia as previously described [14,37,38]. Briefly, Vero cells were plated in a 12-well plate overnight. Two hundred microliters of R. typhi inoculum was inoculated to the overnight monolayer of Vero cells. Infected cells were incubated at 35°C with 5% CO2 for 1.5 hr. The plate was rocked and rotated every 15 min during the incubation period. To prepare 2X RPMI for the plaque assay, the final concentration of FBS was adjusted to 8%. Agarose was then added by combining equal parts of 1% agarose solution and plaque media, resulting in final concentrations of 0.5% agarose, 4% FBS, and 1X RPMI in the overlay medium. The plate was incubated at 35°C with 5% CO2 for 14 days. At day 12, 0.01% neutral red in PBS solution was added to each well and incubated overnight. The neutral red was discarded at day 13. Plaque formation was observed and counted at day 14.

Crystal violet was also used for plaque staining in the antibiotic susceptibility assay. The procedures for inoculation and incubation were the same as described above. However, the media for plaque assay was mixed with sterile 0.6% Avicel in distilled water. The final concentration of the overlay media for crystal violet staining was 0.3% Avicel with 4% FBS in 1X RPMI. The plate was incubated at 35°C with 5% CO2 for 14 days. At day 14, ice cold methanol was applied for 1.5 h for fixing. Then, the methanol was discarded and 1% crystal violet in 20% ethanol was used for staining. The crystal violet was discarded and the stained plates were rinsed with tap water.

Antibiotic susceptibility testing assay

MIC determination by plaque assay.

To determine the MIC of azithromycin for R. typhiWT and R. typhiAZM, an inoculum from each culture type was prepared as described above and added to each well. In the 12-well plate assay, 10 wells were inoculated with R. typhi strains to be tested, and the remaining two wells were used as controls: one without Rickettsia as the host cell (Vero) control and one with heat-inactivated Rickettsia (56°C for 30 minutes) as a negative control to calculate the MIC as there was no plaque formation. The inoculated plate was incubated at 35°C for 1.5 hr; the plate was rocked and rolled every 15 minutes during the incubation period. Then, the plaque media with and without serial dilutions of azithromycin were added. The concentration range of azithromycin between 0.0625 – 16 mg/L was used to determine the MIC for the bacteria. The plate was incubated as above according to the type of the mixture (agarose or Avicel). MIC using plaque assay was determined as the lowest concentration of azithromycin that inhibited Rickettsia plaque formation, after 14 days incubation. All plaque assays were performed in independent experiments using separate plates for each azithromycin concentration. For each condition, three replicates were included, and consistent plaque phenotypes were observed across replicates. Representative images from a single well of a representative plate are shown in the figures.

MIC determination by qPCR.

To determine the MIC based on inhibition of bacterial DNA synthesis, antimicrobial susceptibility testing (AST) was performed using the same infection procedure as the plaque assay. However, instead of quantifying plaque formation, bacterial growth was measured by qPCR, with a different incubation period used for endpoint determination. Cell infection at day 0 was used to compare with R. typhi infection at day 7, and heat-inactivated R. typhi was used as the negative control to estimate the MIC. Cultures were incubated for 7 days before harvesting by trypsinization. The infected Vero cells were pelleted by centrifugation at 20,238 xg for 5 min. The media was discarded and the infected cell pellet were kept at -80°C until used. DNA was extracted using the HotShot method previously applied to extract DNA from obligate intracellular bacteria [36]. Briefly, the infected cell pellet was resuspended in 50 μL of alkaline lysis buffer (25 mM NaOH, 0.2 mM EDTA) and boiled at 95°C for 30 min. The sample was cooled to 4°C and an equal volume (50μL) of neutralization buffer (40 mM Tris-HCl, pH 7–8) was added. Extracted DNA from each antibiotic condition, including untreated controls and heated-inactivated samples was subjected to qPCR targeting ompB gene. The primers and TaqMan probe used were Rt557F (5′-TGGTATTACTGCTCAACAAGCT-3′), Rt678R (5′-CAGTAAAGTCTATTGATCCTACACC-3′), and Rt640 BP (5′-FAM-CGCGATCGTTAATAGCACCAGCATTATCGCG-BHQ1–3′). The qPCR reaction mixture consisted of 1X qPCRBIO Probe Mix (qPCR Probe MIX LO-ROX, PCR Biosystems, UK), 0.4 μM of each forward and reverse primer, 0.2 μM probe, sterile distilled water, and 1 μL of extracted DNA. Amplification was performed using a CFX96 real-time PCR system (Bio-Rad, USA) under the following conditions: initial denaturation at 95°C for 2 min, followed by 45 cycles of denaturation at 95°C for 15 s and combined annealing/extension at 60°C for 30 s, with fluorescence acquisition at each cycle. MIC determination by qPCR was defined as the lowest azithromycin concentration corresponding to a cycle threshold (Ct) value equal to or higher than that of the heat-inactivated sample. As these MIC values represent threshold rather than continuous measurements, statistical analysis was not performed. Experiments were conducted in three independent replicates with consistent results.

Plaque selection

To identify probable azithromycin resistant populations, plaques forming under azithromycin treatment were picked for the isolation of homogenous azithromycin resistant R. typhi. The method was adapted from virus purification by plaque assay [39]. Briefly, a sterile pipette tip was used to penetrate the agar containing the plaque. The tip with agar was transferred to a microcentrifuge tube containing the media and the plaque was mixed by pipetting. The mixture was inoculated to a new flask for propagation of R. typhi.

PCR and sequencing

DNA from the R. typhi cultured under azithromycin, R. typhi clinical isolates and R. typhi laboratory strain cultures were extracted as described in manufacturer’s instructions (ThermoFisher Scientific, US). R. typhi growing for a week after thawing from frozen stock (R. typhilow passage) was also used for comparison. Briefly, infected cells were scraped using a cell scraper (Corning, US) and centrifuged at 20,238 xg for 5 min to get the cell pellet. The cell pellet was resuspended with 200 μL of phosphate buffer saline (PBS) in a microcentrifuge tube containing 20 μL of proteinase K, then 400 μL of lysis buffer was added and the tube incubated at 56°C for 15 min. The mixture was precipitated with absolute ethanol before transfer to the Spin Column. The mixture was spun and washed to remove the unbound DNA. DNA was eluted using elution buffer 100 μL and kept at minus 20°C until used. DNA from these isolates was amplified using 23SrRNA, L4 and L22 primers for sequencing (S1 Table). The PCR products were run on 1.5% agarose gel for visualization, and the PCR products were purified using the GeneJet PCR Purification Kit (ThermoFisher Scientific, US) before sending the samples for Sanger sequencing to MACROGEN (Seoul, South Korea).

Sequence analysis

All DNA nucleotide sequences in ABI format were edited according to the chromatogram using DNA star Lasergene 17 (USA). The edited nucleotide sequences were aligned using MEGA11 to compare the mutations among the sequence and reference sequence obtained from the Kyoto Encyclopedia of Genes and Genomes (KEGG).

Protein homology

The 3D structure of the L4 and L22 proteins for R. typhi were modeled using the SWISS-MODEL server with default settings. The translated protein sequences from DNA sequence data were entered in FASTA format, and 3D homology models were retrieved as PDB files for visualization.

The 3D structures of azithromycin binding protein targets (L4, L22) and 23SrRNA were searched in the Protein Data Bank (PDB: https://www.rcsb.org). The crystal structure of azithromycin bound to the G2099A mutant 50S ribosomal subunit of Haloarcula marismortui (1YHQ) was used as a template to create the azithromycin-target complex (L4, L22, and 23S rRNA) by superimposing R. typhi L4 and L22.

We used Discovery Studio Visualizer to explore the L22 protein model constructed from amino acid sequences of R. typhiAZM and R. typhiWT

Results

In vitro screening for azithromycin resistance

After culturing R. typhi in Vero cells with media containing a low concentration of azithromycin for 78 weeks, the MIC of R. typhiAZM for azithromycin was determined using the plaque assay and compared to R. typhiWT. The results showed MIC of azithromycin for R. typhiWT was 1 mg/L (Fig 1A) and MIC for R. typhi AZM was greater than 1 mg/L (Fig 1B).

Selection of azithromycin resistant Rickettsia typhi

To select the azithromycin-resistant population, the R. typhiAZM plaque (Fig 1B) visible at a concentration of 0.125 mg/L was picked for inoculation to the new flask containing media with 0.125 mg/L of azithromycin. After the bacteria was cultured for a month, antibiotic susceptibility testing was performed for R. typhiAZM and R. typhiWT in paralllel. Fig 2A shows plaque formation at different concentrations of azithromycin ranging from 0.0625 mg/L to 16 mg/L. Inhibition of R. typhiWT was observed at 2 mg/L (Fig 2A, lower panel) while R. typhiAZM plaques were able to form at a concentration of 16 mg/L (Fig 2A, upper panel) indicating that the MIC for R. typhiAZM was > 16 mg/L while the MIC for R. typhiWT was 2 mg/L. The plaque size of R. typhiAZM (Fig 2B, right panel) was observed to be smaller compared to R. typhi WT (Fig 2B, left panel).

MIC of azithromycin was also determined by qPCR. MIC for R. typhiWT was calculated to 0.25 mg/L whereas the MIC of azithromycin for R. typhiAZM was 8 mg/L, as illustrated in Fig 2C.

Mutation in rplV gene of Rickettsia typhi with azithromycin

The sequencing results showed fifteen nucleotide insertions (5’-AAAGGAAGAGCAACT-3’) in the rplV DNA sequence for R. typhiAZM but not R. typhiWT and R. typhilow passage (Fig 3A). R. typhilow passage represent R. typhi grown for one week after thawing from frozen stock. The reference sequence of R. typhi strain Wilmington did not contain this sequence insertion. Mutation was not observed on rpLD and 23SrRNA DNA sequence for all strains (S3 Fig). The protein sequence of L22 (rplV) was translated from the nucleotide sequence using MEGA11, revealing the insertion of five amino acids (96KGRAT100) (Fig 3B). These data suggested that a 5 amino acids insertion on the L22 protein may interfere with azithromycin binding.

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Fig 2. MIC of azithromycin determined by plaque assay and qPCR for R. typhiWT and R. typhiAZM.

Antibiotic susceptibility testing based on plaque forming units was performed to determine MIC for R. typhiWT and R. typhiAZM (a). MIC of azithromycin for R. typhiWT was 2 mg/L (A, lower panel) and MIC for R. typhiAZM was > 16 mg/L (A, upper panel). Different plaque sizes obtained from R. typhiWT (B, left panel) and R. typhiAZM (B, right panel). R. typhi  plaques were stained with 0.01% neutral red in PBS (b, upper panel) and 1% crystal violet in 20% ethanol in distilled water (B, lower panel). Images shown represent a single well from a representative plate at each azithromycin concentration. Experiments were performed independently with three replicates on separate plates, and consistent plaque phenotypes were observed across all replicates. MIC of azithromycin based on the Rickettsial DNA load of R. typhiWT and R. typhiAZM was determined at various concentrations of azithromycin using qPCR targeting ompB gene (C). The x-axis represents azithromycin concentration ranging between 0.0625 – 16 mg/L and the y-axis represents R. typhi DNA (copies/μL). Each dot on the graph represents rickettsia DNA load in various concentrations of azithromycin including no antibiotic as a positive control. Grey dots represent rickettsial DNA from wild type strain and black squares represent rickettsia DNA from strains under drug pressure. Heat-inactivated bacteria were used to determine the MIC (grey dotted line and black dotted line), and bacterial DNA load on Day 0 measured to confirm the bacteria growth. MIC of azithromycin for R. typhiWT (grey) was 0.25 mg/L and MIC for R. typhiAZM (black) was 8 mg/L. The MIC for drug-pressured strains was higher than wild type strains by about 32-fold. MIC values were defined as the lowest concentration inhibiting detectable bacterial growth and therefore represent threshold rather than continuous measurements; accordingly, no statistical analysis was performed. Experiments were conducted in three independent replicates with consistent results.

https://doi.org/10.1371/journal.pntd.0014249.g002

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Fig 3. Sequence alignment for L22 (rplV).

DNA sequence (A) and amino acids sequence (B) from various conditions of R. typhi culture; R. typhi low passage = R. typhi growing for a week after thawing from frozen stock, R. typhi _control (R. typhiWT) = R. typhi culture without azithromycin. R. typhi _AZM = R. typhi cultured with low concentration of azithromycin for long period (90 generations). These DNA and amino acid sequences were compared with reference DNA sequences from Kyoto Encyclopedia of Genes and Genomes (KEGG).

https://doi.org/10.1371/journal.pntd.0014249.g003

Translated L22 amino acid sequences from other R. typhi clinical and laboratory isolates were also used for comparison with R. typhiAZM. No mutation for the L22 protein was detected in those isolates (S4 Fig).

L22 protein in wild type and mutant Rickettsia typhi

To explore the impact of the insertion of five amino acids on the L22 protein sequence on R. typhiAZM azithromycin binding, the sequence with and without the amino acids insertion was modeled. The R. typhi L22 for both strains were based on a template of Rickettsia rickettsii strain Iowa (BOBVQS5.1A) which has 89.92% sequence identity and covers 100% of the L22-R.typhi protein sequence. The L22 models from the protein sequence of R. typhiWT (without insertion) (Fig 4A) and L22 protein with 5 amino acids insertion (96KGRAT100), R. typhiAZM, were constructed (Fig 4B). An extended loop in L22 with amino acids insertion (light blue circle) was identified but was not present in L22 wild type. The protein of the wild-type strain was overlaid with the mutant protein (Fig 4C). This extended loop changed the protein’s structure of L22 compared to the wild type.

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Fig 4. L22 ribosomal protein model of R. typhi wild type, R. typhi WT (A) and R. typhi with azithromycin, R. typhi AZM (B).

The model no. B0BUQ5.1.A, large ribosomal subunit protein L22 from R. rickettsia (strain Iowa) was used as a template to construct the model. The extended loop (light blue circle) in the mutant model (B) represents the insertion of repeat 5 amino acid KGRATK. Superposition between L22_R. typhiWTand L22_R. typhiAZM (C).

https://doi.org/10.1371/journal.pntd.0014249.g004

Homology modeling of azithromycin protein binding

The molecular simulation of azithromycin and its targets interaction for R. typhi was predicted based on the 3D structure of azithromycin bound to the 50S ribosomal subunit of Haloarcula marismortui (PDB ID: 1YHQ). L4, L22 and 23SrRNA were the focus of study of azithromycin binding interactions and other large protein subunits of the complex were deselected. The constructed R. typhi-L4 protein was modeled based on the L4 protein template of the R. prowazekii strain Madrid E (Q9ZCQ6.1.A) with 94.69% sequence identity and 100% coverage (Fig 5, yellow surface molecule. The constructed R. typhi-L22 protein without insertion (R.typhiWT-L22) (Fig 5A, blue surface molecule) and with insertion (R.typhiAZM-L22) (Fig 5B, magenta surface molecule) were modeled based on L22 protein template of Rickettsia rickettsii strain Iowa (BOBVQS5.1A). The surface model of the azithromycin binding mechanism with the protein targets showed that the insertion of 5 amino acids in the L22 protein might obscure the azithromycin binding pocket (Fig 5B) compared to L22 from R.typhiWT (Fig 5A). Superimposed images of R.typhiWT-L22 and R.typhiAZM-L22 (Fig 5C) revealed that the extended loop of L22 protein from R. typhiAZM interferes with the drug binding pocket leading to reduced susceptibility to azithromycin.

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Fig 5. Binding interaction of azithromycin and its key ribosomal targets in R. typhi.

Azithromycin (yellow ring structure) interacts with ribosomal proteins L4, L22, and specific nucleotides of 23S rRNA. The R. typhi L4 protein (yellow) was modeled using the L4 template from R. prowazekii strain Madrid E (Q9ZCQ6.1.A). A partial 23SrRNA segment (brown) was modeled based on the 50S ribosomal subunit of Haloarcula marismortui (PDB ID: 1YHQ). Two models of R. typhi L22 were constructed using the R. rickettsii strain Iowa template (BOBVQS5.1A): one without a 5-amino acid insertion (blue surface) and one with the insertion (magenta surface). Panels (A) and (B) show the interaction of both L22 variants with L4, azithromycin, and key 23S rRNA nucleotides. Panel (C) shows the merged model of L22 from R. typhiWT and R. typhiAZM, highlighting an extended loop at the azithromycin binding site (blue arrow). Key 23S rRNA nucleotides involved: A2099, A2100, A2103, A2538, G2540, U2645 and G2646. 23S rRNA* represents the partial nucleotide sequence involved in interactions with L4, L22, and azithromycin.

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Stability of azithromycin-resistant Rickettsia typhi

To investigate the stability of azithromycin resistance in R. typhiAZM, the strain was passaged in Vero cells in the absence of azithromycin (designated R. typhiAZM(-)), and the MIC of azithromycin was determined at the 10th (10 weeks) and 24th (24 weeks) generations. These values were compared with those of R. typhiAZM and R. typhiWT as described in Table 2. For the 24th generation. R. typhi Wilmington (low passage) was included for comparison.

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Table 2. MIC determination of azithromycin for Rickettisia typhi strains using a plaque assay over 24 generations.

https://doi.org/10.1371/journal.pntd.0014249.t002

Plaque assay results showed that, at the 10th generation, the MIC of R. typhi AZM(-) decreased to 4 mg/L compared with >16 mg/L in the starting R. typhiAZM population. After 24 generations, the MIC of R. typhiAZM(-) further decreased to 0.25 mg/L, which was comparable to that of R. typhiWT.

At the 10th generation, the MIC of R. typhiAZM (8 mg/L) was 2-fold higher than that of R. typhiAZM(-) (4 mg/L). At the 24th generation, the MIC of R. typhiAZM (8 mg/L) remained 32-fold higher than that of R. typhiAZM(-) (0.25 mg/L).

We also investigated the rplV (L22) DNA sequences using R. typhilow passage, R. typhiWT, R. typhiAZM and R. typhiAZM(-). The result showed that insertion of fifteen nucleotides or five amino acids were not found in R. typhiAZM(-) and the DNA sequence was conserved with R. typhilow passage and R. typhiWT whereas fifteen repetitive nucleotides was still found in the R. typhiAZM (S5 Fig).

Discussion

This is the first report of the establishment of an azithromycin resistant strain of Rickettsia typhi by long term culture with a low concentration of antibiotic [40]. This drug pressure approach has been used with another obligate intracellular bacteria, such as Chlamydia trachomatis, by selecting the wild type bacteria from the repeated passage of the surviving bacterial culture in the presence of sub-inhibitory doses of erythromycin, azithromycin and josamycin [26]

Observation of the cytopathic effect of R. typhiAZM compared with R. typhiWT was able to demonstrate that R. typhiAZM can replicate under antibiotic pressure. After long term culture for 2 years in media containing low concentrations of azithromycin, R. typhiAZM was able to grow at a concentration of 0.0625 mg/L, approximately 32-fold higher than the first concentration. Moreover, the difference of plaque size between R. typhiWT and R. typhiAZM might be useful to distinguish between susceptible and resistant strains. The observed difference in plaque morphology between wild-type and azithromycin-resistant R. typhi strains may also reflect underlying differences in bacterial fitness and virulence. Although this was not directly assessed in the present study, future work should investigate key aspects of the infection process, including bacterial entry into host cells and intracellular replication rates, particularly in relevant human endothelial cell models. In addition, in vivo studies would be valuable to determine whether differences in plaque size correlate with altered virulence between strains.

Plaque purification is a method used to ensure the homogeneity of the bacteria stock [39]. This approach was applied to select the resistant population of R. typhi that survived under antibiotic treatment. The result showed more than eight-fold difference in MIC between R. typhiWT and R. typhi AZM. MIC testing by qPCR suggested a 32-fold difference in susceptibility level between the two strains. However, the MIC values determined by plaque assay and qPCR showed differences (R. typhi WT: 2 mg/L (plaque assay) vs. 0.25 mg/L (qPCR); R. typhi AZM: > 16 mg/L (plaque assay) vs. 8 mg/L (qPCR)). This difference might be explained by the fact that qPCR detects both live and dead bacteria, and heat-inactivated Rickettsia was used for the MIC determination via qPCR. As a result, it appears that lower concentrations can inhibit R. typhi growth. In contrast, the plaque assay measures viable Rickettsia, requiring higher concentrations to inhibit plaque formation.

Subsequently R. typhiAZM was cultured in RPMI without azithromycin (R. typhiAZM(-)) for 24 generations. We found the MIC for azithromycin for R. typhiAZM(-) was lower than the 0 generation but was still higher than the R. typhiWT and R. typhi low passage for the first 10 generations. However, by the 24th generation, the MIC of azithromycin for R. typhiAZM(-) was the same as the MIC of azithromycin for wild type strains and the low passage strains. These findings suggest that azithromycin resistance in R. typhi is not heritable and may reflect the presence of mixed population, in which the less fit resistant subpopulation was eliminated in the absence of selective pressure.

Azithromycin is a macrolide antibiotic which inhibits bacterial protein synthesis via the 50S large subunit of the bacterial ribosome. Efflux pump activation and modification of antibiotic target are mechanisms that the bacteria use to escape antibiotic effects [18]. The main antibiotic target gene for macrolide antibiotics including azithromycin is Domain V of 23SrRNA, L4 (rplD) and L22 (rplV). Studies of C. trachomatis culture in McCoy cells in the presence of erythromycin, azithromycin and josamycin have shown mutation on L4 (rplD) and the domain V of 23SrRNA but not L22 (rplV) [26]. However, in the investigation of macrolide target genes among clinical isolates, a mutation in the L22 (rplV) gene was found. Despite this, the MICs for the three antibiotics were the same as those for the C. trachomatis reference strain, except in isolates with mutations in the 23S rRNA or both the 23S rRNA and L22 genes, which showed higher MICs compared to the reference strain [41]. In this study, macrolide sequence data of R. typhiAZM showed the insertion of a repetitive 15 nucleotide sequence (5 amino acids) on the L22 protein (rplV). However, we did not see any mutation on L4 (rplD) and Domain V of 23SrRNA nucleotide sequence. Our findings are similar to those from S. aureus cultured under sub-inhibitory concentrations of erythromycin (8325ER+) which showed a 27 nucleotide repeat insertion (9 amino acids insertion) in the rplV gene that encodes the L22 protein, conferring resistance to macrolide antibiotics [42], and to tylosin susceptibility in S. xylosus [43]. Aside from comparing the sequence with the reference strain and R. typhi Wilmington, we also compared the L22 (rplV) sequence of R. typhiAZM with seven laboratory strains and sixteen Lao clinical isolates. Insertion in the L22 (rplV) sequence was not found in all 23 isolates. These results suggest that azithromycin selective pressure on R. typhi might have led to the selection of a strain containing a repeat nucleotide sequence.

Molecular dynamic simulation is a useful tool to predict the interaction between molecules and has been to applied to drug discovery to explore the binding efficiency between drug and target [44]. This approach was used to investigate whether the insertion of the repeated amino sequence in the L22 protein of R. typhiAZM would affect azithromycin binding. We found that insertion of a repeated amino acid sequence in the L22 protein of R. typhiAZM affects the structures compared to wild type bacteria. The macrolide binding pocket is composed of the loop of the L22 protein, the loop of the L4 protein and specific nucleotides in the domain V region of 23S rRNA form a pocket for azithromycin binding. The extended loop resulting from amino acid insertion of R.typhiAZM interferes with binding of azithromycin to the pocket. Our findings suggest that the insertion of repeated sequence in the L22 protein in R. typhiAZM might affect the drug binding site leading to lower susceptibility to azithromycin compared to wild type.

Azithromycin-resistance in R. typhi was not heritable when drug pressure was removed and R. typhi AZM was cultured under normal conditions (culture media without antibiotic) for 24 generations. The MIC reverted to 0.25 mg/L which was the same value as R. typhi WT and similar to R. typhi low passage. This might be explained by the processes governing reversal of antimicrobial-drug resistance in bacterial populations after removal of selective pressure. Firstly, fitness cost reduces the frequency of resistance. Secondly, the biological cost of resistance may be decreased over time through compensatory mutations that reduce the rate at which resistant clones are outcompeted by susceptible counterparts. Lastly, selective pressure within the population may prevent the reversion to a susceptible phenotype by maintaining the resistant subpopulation. These events occur gradually over time with the number of bacterial passages [45]. The MICs of azithromycin for both R. typhi WT (0.25 mg/L) and R. typhi AZM (8 mg/L) of the 24th generation were different from the earlier experiment (R. typhiWT = 2 mg/L and R. typhi AZM = > 16 mg/L). These differences may reflect minor experimental variability, including host cell conditions used for plaque assays. In addition, both the number of bacterial passages and host cell passages may influence antibiotic susceptibility. These findings were different from the study on Chlamydia trachomatis and S. aureus. Resistance was heritable and the resistance persisted even when cultured without antibiotic [26,42]. As azithromycin is a bacteriostatic drug, some wild type strains of the bacteria may still survive but not replicate in the culture with a low concentration of antibiotics. Once azithromycin was removed from the culture, the wild type population was able to replicate and overcome the replication of R. typhiAZM. Future work should conduct competitive assay experiments between R. typhiWT and R. typhiAZM under normal culture conditions to further investigate R. typhiWT and R. typhiAZM populations.

This study was undertaken following clinical observation of treatment failure following three days of azithromycin treatment in patients with murine typhus reported by Newton et al. [11]. Rickettsia isolates from that study were not submitted to in vitro susceptibility testing or sequencing. To date, no specific genetic markers of azithromycin resistance have been reported in Rickettsia spp. Previous in silico analyses of the ribosomal protein L22 across typhus group (TG) species (R. typhi and R. prowazekii) and several spotted fever group (SFG) species (e.g., R. africae, R. rickettsii, R. conorii) have identified mutations in SFG but not in TG species. These findings suggest that intrinsic differences in macrolide susceptibility may exist between groups, with SFG potentially exhibiting reduced susceptibility to macrolides such as erythromycin [46]. Taken together, our findings likely represent early evidence of potential resistance-associated mutations identified under laboratory conditions. Further epidemiological surveillance and validation in clinical isolates are required to determine whether these genotypes are present and clinically relevant.

Although further validation is required, these findings may have important clinical implications. Doxycycline is currently the first-line treatment for murine typhus, while azithromycin is commonly used as an alternative, particularly in pregnant women. However, a clinical trial in Laos demonstrated that patients with murine typhus treated with azithromycin experienced prolonged fever clearance times compared to those treated with doxycycline [11]. As Rickettsia typhi is an obligate intracellular bacterium, conventional antibiotic susceptibility testing methods, such as microdilution and disk diffusion, are not applicable. Although cell culture–based susceptibility assays can be performed [17,47], they are labor-intensive and time-consuming. Therefore, the identification of genetic markers associated with azithromycin resistance has important clinical implications. These markers could be developed into molecular diagnostic tools to rapidly detect resistance in clinical samples, thereby guiding clinicians in selecting the most appropriate antibiotic therapy and improving patient outcomes.

There were some limitations of this study. Firstly, we investigated antibiotic pressure only for R. typhi strain Wilmington; different bacterial isolates might vary in their response to the antibiotic. Secondly, other mechanisms of antibiotic resistance, including efflux pump activation, were not investigated. Although whole-genome sequencing was not performed for the induced azithromycin-resistant isolates in this study, we interpreted our findings in the context of previously available Rickettsia typhi genomes from our earlier work [48]. These analyses demonstrated extremely low genetic diversity across isolates collected over nearly a century and from multiple continents, with only limited temporal clustering and minimal evidence of host-specific adaptation. Importantly, no mutations were identified in macrolide resistance-associated loci, including rplV (L22), rplD (L4), or the 23S rRNA gene, in these datasets. Consistent with this, resistance-associated mutations appear to be rare in R. typhi, suggesting strong evolutionary constraint. In this study, we identified a nucleotide insertion in the L22-encoding gene (rplV) in an induced azithromycin-resistant strain. To our knowledge, this mutation has not been observed in previously sequenced R. typhi genomes, suggesting that it may represent a novel adaptation under antibiotic pressure. However, without whole-genome comparison of the induced strain and functional validation, the contribution of this mutation to azithromycin resistance cannot be definitively established. Thirdly, the crystal 3D structure of the L22 protein including L4 and 23S rRNA for R. typhi were not available in the database, so we had to predict the structure from the related species, Rickettsia rickettsii for L22, and Rickettsia prowazekii for L4. This might have led to some errors in identifying the antibiotic binding interaction. Finally, azithromycin was added at the start of the experiment and not replenished during the 7-day incubation period. Consequently, the effective drug concentration may have decreased over time due to potential degradation at 35 °C, and the measured MIC values likely reflect cumulative rather than constant exposure. This may lead to underestimation of the true MIC; however, as all experiments were performed under identical conditions, comparisons between wild-type and azithromycin-resistant R. typhi strains remain valid.

Further work, including whole-genome sequencing of the induced resistant isolates and functional validation studies, is required to determine whether additional genomic changes contribute to azithromycin resistance. In addition, validation using independent clinical isolates will be important to assess whether similar genotypic and phenotypic characteristics occur in natural settings.

Our findings suggest mutation in rplV could modulate azithromycin resistance in R.typhi and highlight the need for validated antibiotic susceptibility testing assays. Further investigation in clinical infections is needed.

Supporting information

S1 Table. Macrolide target genes including Domain V of 23SrRNA (DomV), L4 and L22 primers.

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S1 Fig. Host cell morphology during R. typhi infection.

Vero cells were infected with R. typhi strain Wilmington in the culture media without azithromycin (B) and in the low level of azithromycin (C) compared to host cell control (A). CPEs were found both R. typhiWT and R. typhiAZM at Day 7 post infection. Rounded cells following host cell death followed by cell lysis, were observed in cells infected with R. typhiWT and R. typhiAZM.

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S2 Fig. Azithromycin resistant strain selection.

Schematic diagram of R. typhi strain Wilmington culture using a low concentration of azithromycin (starting at 0.0019 mg/L). The process was started from the thawing frozen stock of the bacteria and culturing for a week using African green monkey cell line (Vero). Infected cells from the first passage were transferred to fresh cells in a new flask containing 2% RPMI with 0.0019 mg/L of azithromycin and cultured for two generations before increasing the concentration of antibiotic. Starting from an azithromycin concentration of 0.0039 mg/L, the concentration was increased every 4 generations (1 month per concentration). Once the concentration of 0.0625 mg/L was reached the R. typhi culture was maintained for 32 generations (~ 8 months). R. typhi cultured in media with azithromycin at a concentration of 0.0625 mg/L was kept at -80°C for 1 year. Frozen stock was thawed and inoculated in vero cells. The infected vero cells were pre-grown in media without azithromycin for a week, then sub-cultured to fresh cells maintained in media containing azithromycin concentration of 0.0625 mg/L for 24 generations. The 24th generation of R. typhi with azithromycin and the culture without azithromycin, as the control were prepared to determine MIC by plaque assay. The plaque assay was stained with 0.01% of neutral red. The result showed the MIC of azithromycin for R. typhiWT was 1 mg/L while MIC for R. typhiAZM was > 1 mg/L as shown in Fig 1. Plaques from the assay infected with R. typhi with azithromycin at a concentration of 1 mg/L, as well as plaques from the untreated assay, were picked and inoculated into a new culture flask. The R. typhiAZM culture was then maintained with azithromycin at a concentration of 0.0625 mg/L for four generations to sustain the strain. The purified plaque of R. typhi AZM was sub-cultured to a new flask of Vero cells and cultured in media containing azithromycin at a concentration of 0.125 mg/L for 8 generations. MIC of azithromycin based on plaque assay for both strains (R. typhiWT and R. typhiAZM) was determined. This schematic was created by the authors.

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S3 Fig. Sequence alignment for L4 (rplD) and domain V of 23SrRNA.

DNA sequence for L4 (a) and Domain V of 23SrRNA (b) from various condition of R. typhi culture; R. typhi_low passage = R. typhi growing for a week after thawing from frozen stock, R. typhi_control (R. typhiWT)= R. typhi culture without azithromycin and simultaneously culture with bacteria with azithromycin, R. typhi_AZM (R. typhiAZM) = R. typhi culture with low concentration of azithromycin for long period. DNA from the experiment were compared with reference DNA sequence from Kyoto Encyclopedia of Genes and Genomes (KEGG).

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S4 Fig. Protein sequence alignment of L22 protein (rplV) from sixteen clinical isolates and nine laboratory strains.

L22 amino acid sequence of different strains (TH1527, Wilmington and B9991) from KEGG were also compared.

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S5 Fig. Sequence alignment for L22 (rplV).

DNA sequence (a) and amino acids sequence (b) from various conditions of R. typhi culture; R. typhi low passage = R. typhi growing for a week after thawing from frozen stock, R. typhi control (R. typhiWT) = R. typhi culture without azithromycin, R. typhiAZM = R. typhi cultured with low concentration of azithromycin for a long period and R. typhiAZM(-) = R. typhiAZM cultured in media without azithromycin for 24 generations. These DNA and amino acid sequences were compared with reference DNA sequences from Kyoto Encyclopedia of Genes and Genomes (KEGG).

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Acknowledgments

We are grateful to the director of Mahosot Hospital, as well as Dr Manivanh Vongsouvath and the staff of the Microbiology Laboratory. We thank Prof. Stuart Blacksell for providing R. typhi strain Wilmington and all staff involved in collecting, processing and storing bacterial isolates. We also thank Prof. Mallika Imwong for advice on protein target modeling. We are very grateful to the late Dr Rattanaphone Phetsouvanh for helping to lay the foundations to allow this research.

References

  1. 1. Blanton LS. Murine Typhus: A Review of a Reemerging Flea-Borne Rickettsiosis with Potential for Neurologic Manifestations and Sequalae. Infect Dis Rep. 2023;15(6):700–16. pmid:37987401
  2. 2. Stern RM, Luskin MR, Clark RP, Miller AL, Loscalzo J. A Headache of a Diagnosis. N Engl J Med. 2018;379(5):475–9. pmid:30067932
  3. 3. Boostrom A, Beier MS, Macaluso JA, Macaluso KR, Sprenger D, Hayes J.et al. Geographic association of Rickettsia felis-infected opossums with human murine typhus, Texas. Emerg Infect Dis. 2002;8(6):549–54. pmid:12023908
  4. 4. Civen R, Ngo V. Murine typhus: an unrecognized suburban vectorborne disease. Clin Infect Dis. 2008;46(6):913–8. pmid:18260783
  5. 5. Mayxay M, Castonguay-Vanier J, Chansamouth V, Dubot-Pérès A, Paris DH, Phetsouvanh R, et al. Causes of non-malarial fever in Laos: a prospective study. Lancet Glob Health. 2013;1(1):e46-54. pmid:24748368
  6. 6. Dittrich S, Rattanavong S, Lee SJ, Panyanivong P, Craig SB, Tulsiani SM, et al. Orientia, rickettsia, and leptospira pathogens as causes of CNS infections in Laos: a prospective study. Lancet Glob Health. 2015;3(2):e104-12. pmid:25617190
  7. 7. Doppler JF, Newton PN. A systematic review of the untreated mortality of murine typhus. PLoS Negl Trop Dis. 2020;14(9):e0008641. pmid:32925913
  8. 8. Bonell A, Lubell Y, Newton PN, Crump JA, Paris DH. Estimating the burden of scrub typhus: A systematic review. PLoS Negl Trop Dis. 2017;11(9):e0005838. pmid:28945755
  9. 9. Tanabe MB, Blanton LS, La Rosa M, Webb CM. Murine Typhus Infection in Pregnancy: Case Series and Literature Review. Pathogens. 2021;10(2). pmid:33670581
  10. 10. Cross R, Ling C, Day NPJ, McGready R, Paris DH. Revisiting doxycycline in pregnancy and early childhood--time to rebuild its reputation?. Expert Opin Drug Saf. 2016;15(3):367–82. pmid:26680308
  11. 11. Newton PN, Keolouangkhot V, Lee SJ, Choumlivong K, Sisouphone S, Choumlivong K, et al. A Prospective, Open-label, Randomized Trial of Doxycycline Versus Azithromycin for the Treatment of Uncomplicated Murine Typhus. Clin Infect Dis. 2019;68(5):738–47. pmid:30020447
  12. 12. Zavala-Castro JE, Dzul-Rosado KR, Peniche-Lara G, Tello-Martín R, Zavala-Velázquez JE. Isolation of Rickettsia typhi from human, Mexico. Emerg Infect Dis. 2014;20(8):1411–2. pmid:25076014
  13. 13. McDade JE. Determination of antibiotic susceptibility of Rickettsia by the plaque assay technique. Appl Microbiol. 1969;18(1):133–5. pmid:4896100
  14. 14. Edouard S, Raoult D. Use of the plaque assay for testing the antibiotic susceptibility of intracellular bacteria. Future Microbiol. 2013;8(10):1301–16. pmid:24059920
  15. 15. Oaks SC Jr, Osterman JV, Hetrick FM. Plaque assay and cloning of scrub typhus rickettsiae in irradiated L-929 cells. J Clin Microbiol. 1977;6(1):76–80. pmid:69632
  16. 16. Wike DA, Tallent G, Peacock MG, Ormsbee RA. Studies of the rickettsial plaque assay technique. Infect Immun. 1972;5(5):715–22. pmid:4629250
  17. 17. Rolain J-M, Stuhl L, Maurin M, Raoult D. Evaluation of antibiotic susceptibilities of three rickettsial species including Rickettsia felis by a quantitative PCR DNA assay. Antimicrob Agents Chemother. 2002;46(9):2747–51. pmid:12183224
  18. 18. Heidary M, Ebrahimi Samangani A, Kargari A, Kiani Nejad A, Yashmi I, Motahar M, et al. Mechanism of action, resistance, synergism, and clinical implications of azithromycin. J Clin Lab Anal. 2022;36(6):e24427. pmid:35447019
  19. 19. Derbie A, Mekonnen D, Woldeamanuel Y, Abebe T. Azithromycin resistant gonococci: a literature review. Antimicrob Resist Infect Control. 2020;9(1):138. pmid:32811545
  20. 20. Gillis RJ, White KG, Choi K-H, Wagner VE, Schweizer HP, Iglewski BH. Molecular basis of azithromycin-resistant Pseudomonas aeruginosa biofilms. Antimicrob Agents Chemother. 2005;49(9):3858–67. pmid:16127063
  21. 21. Gomes C, Ruiz-Roldán L, Mateu J, Ochoa TJ, Ruiz J. Azithromycin resistance levels and mechanisms in Escherichia coli. Sci Rep. 2019;9(1):6089. pmid:30988366
  22. 22. Belkacem A, Jacquier H, Goubard A, Mougari F, La Ruche G, Patey O.et al. Molecular epidemiology and mechanisms of resistance of azithromycin-resistant Neisseria gonorrhoeae isolated in France during 2013-14. J Antimicrob Chemother. 2016;71(9):2471–8. pmid:27301565
  23. 23. Smajs D, Pastekova L, Grillova L. Macrolide resistance in the syphilis spirochete, Treponema pallidum ssp. pallidum: can we also expect macrolide-resistant yaws strains?. Am J Trop Med Hyg. 2015;93(4):678–83. pmid:26217043
  24. 24. Gingras H, Patron K, Leprohon P, Ouellette M. Azithromycin resistance mutations in Streptococcus pneumoniae as revealed by a chemogenomic screen. Microb Genom. 2020;6(11):mgen000454. pmid:33074087
  25. 25. Mestrovic T, Ljubin-Sternak S. Molecular mechanisms of Chlamydia trachomatis resistance to antimicrobial drugs. Front Biosci (Landmark Ed). 2018;23(4):656–70. pmid:28930567
  26. 26. Zhu H, Wang H-P, Jiang Y, Hou S-P, Liu Y-J, Liu Q-Z. Mutations in 23S rRNA and ribosomal protein L4 account for resistance in Chlamydia trachomatis strains selected in vitro by macrolide passage. Andrologia. 2010;42(4):274–80. pmid:20629652
  27. 27. Tello-Martin R, Dzul-Rosado K, Zavala-Castro J, Lugo-Caballero C. Approaches for the successful isolation and cell culture of American Rickettsia species. J Vector Borne Dis. 2018;55(4):258–64. pmid:30997885
  28. 28. Ming DK, Phommadeechack V, Panyanivong P, Sengdatka D, Phuklia W, Chansamouth V, et al. The Isolation of Orientia tsutsugamushi and Rickettsia typhi from Human Blood through Mammalian Cell Culture: a Descriptive Series of 3,227 Samples and Outcomes in the Lao People’s Democratic Republic. J Clin Microbiol. 2020;58(12):e01553-20. pmid:32999008
  29. 29. Luksameetanasan R, Blacksell SD, Kalambaheti T, Wuthiekanun V, Chierakul W, Chueasuwanchai S, et al. Patient and sample-related factors that effect the success of in vitro isolation of Orientia tsutsugamushi. Southeast Asian J Trop Med Public Health. 2007;38(1):91–6. pmid:17539252
  30. 30. Maxy KF. Endemic typhus of the southeastern United States: the reaction of the white rat. Public Health Reports. 1929;44:1935–43.
  31. 31. Kato CY, Chung IH, Robinson LK, Eremeeva ME, Dasch GA. Genetic typing of isolates of Rickettsia typhi. PLoS Negl Trop Dis. 2022;16(5):e0010354. pmid:35639778
  32. 32. Perez Gallardo F, Fox JP. Infection of guinea pigs with massive doses of rickettsiae of epidemic and murine typhus. J Immunol. 1948;60(4):455–63. pmid:18122727
  33. 33. Eremeeva ME, Dasch GA, Raoult D, Balayeva NM. Genetic, biological and serological differentiation of Rickettsia prowazekii and Rickettsia typhi. In: Rickettsiae and Rickettsial Diseases Vth International Symposium, 1996. 43–50.
  34. 34. Gear J. The rickettsial diseases of Southern Africa; a review of recent studies. S Afr J Clin Sci. 1954;5(3):158–75. pmid:13216322
  35. 35. Phuklia W, Panyanivong P, Sengdetka D, Sonthayanon P, Newton PN, Paris DH, et al. Novel high-throughput screening method using quantitative PCR to determine the antimicrobial susceptibility of Orientia tsutsugamushi clinical isolates. J Antimicrob Chemother. 2019;74(1):74–81. pmid:30295746
  36. 36. Giengkam S, Blakes A, Utsahajit P, Chaemchuen S, Atwal S, Blacksell SD, et al. Improved Quantification, Propagation, Purification and Storage of the Obligate Intracellular Human Pathogen Orientia tsutsugamushi. PLoS Negl Trop Dis. 2015;9(8):e0004009. pmid:26317517
  37. 37. Raoult D, Roussellier P, Vestris G, Tamalet J. In vitro antibiotic susceptibility of Rickettsia rickettsii and Rickettsia conorii: plaque assay and microplaque colorimetric assay. J Infect Dis. 1987;155(5):1059–62. pmid:3104481
  38. 38. Ammerman NC, Beier-Sexton M, Azad AF. Laboratory maintenance of Rickettsia rickettsii. Curr Protoc Microbiol. 2008;Chapter 3:Unit 3A.5. pmid:19016440
  39. 39. Murata H, Macauley J, Lewis AM Jr, Peden K. Plaque purification as a method to mitigate the risk of adventitious-agent contamination in influenza vaccine virus seeds. Vaccine. 2011;29(17):3155–61. pmid:21354480
  40. 40. Sandegren L. Selection of antibiotic resistance at very low antibiotic concentrations. Ups J Med Sci. 2014;119(2):103–7. pmid:24694026
  41. 41. Misyurina OY, Chipitsyna EV, Finashutina YP, Lazarev VN, Akopian TA, Savicheva AM, et al. Mutations in a 23S rRNA gene of Chlamydia trachomatis associated with resistance to macrolides. Antimicrob Agents Chemother. 2004;48(4):1347–9. pmid:15047540
  42. 42. Han D, Liu Y, Li J, Liu C, Gao Y, Feng Jet al. Twenty-seven-nucleotide repeat insertion in the rplV gene confers specific resistance to macrolide antibiotics in Staphylococcus aureus. Oncotarget. 2018;9(40):26086–95. pmid:29899844
  43. 43. Chen M, Li Y, Li S, Cui W, Zhou Y, Qu Q.et al. Molecular Mechanism of Staphylococcus xylosus Resistance Against Tylosin and Florfenicol. Infect Drug Resist. 2022;15:6165–76. pmid:36304967
  44. 44. Yao W-H, Mo L-Y, Fang L-S, Qin L-T. Molecular dynamics simulations on interactions of five antibiotics with luciferase of Vibrio Qinghaiensis sp.-Q67. Ecotoxicol Environ Saf. 2023;256:114910. pmid:37062261
  45. 45. Johnsen PJ, Townsend JP, Bøhn T, Simonsen GS, Sundsfjord A, Nielsen KM. Factors affecting the reversal of antimicrobial-drug resistance. Lancet Infect Dis. 2009;9(6):357–64. pmid:19467475
  46. 46. Rolain JM, Raoult D. Prediction of resistance to erythromycin in the genus Rickettsia by mutations in L22 ribosomal protein. J Antimicrob Chemother. 2005;56(2):396–8. pmid:15996971
  47. 47. Rolain JM, Maurin M, Vestris G, Raoult D. In vitro susceptibilities of 27 rickettsiae to 13 antimicrobials. Antimicrob Agents Chemother. 1998;42(7):1537–41. pmid:9660979
  48. 48. Keeratipusana C, Phuklia W, Phommadeechack V, Thaipadungpanit J, Chansamouth V, Phommasone K.et al. Complete genomes of Rickettsia typhi reveal a clonal population. PLoS Negl Trop Dis. 2025;19(12):e0013828. pmid:41460881