Next Article in Journal
vanB-Gene-Dominated Resistance in Enterococcus spp. and Silent vanA-Gene Carriage in Phenotypically Susceptible Isolates: Genomic Epidemiology in Two Hospitals in Latvia
Previous Article in Journal
Can Artificial Intelligence Transform Early Warning for Antimicrobial-Resistant Outbreak Clones? Approaches, Gaps, and Opportunities: A Scoping Review
Previous Article in Special Issue
Comparison of Environmental Microbiomes, Resistomes and Plasmidomes from a Human Tertiary Hospital and Companion Animal Veterinary Hospital in London, UK
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Stenotrophomonas maltophilia Complex: Genomic Characterization, Antimicrobial Resistance and First Report of S. muris from Oman

by
Amira ElBaradei
1,
Atika Al-Bimani
1,
Suad A. H. Al-Ubaidani
2,
Amal Al-Hinai
1,
Zainab J. Al-Lawati
1 and
Hafidha Al-Hattali
3,*
1
Department of Microbiology and Immunology, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat 123, Oman
2
Microbiology and Immunology Diagnostic Laboratory, Sultan Qaboos University Hospital, University Medical City, Muscat 123, Oman
3
Department of Biomedical Science, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat 123, Oman
*
Author to whom correspondence should be addressed.
Antibiotics 2026, 15(6), 600; https://doi.org/10.3390/antibiotics15060600
Submission received: 24 May 2026 / Revised: 9 June 2026 / Accepted: 10 June 2026 / Published: 12 June 2026
(This article belongs to the Special Issue Genomic Surveillance of Antimicrobial Resistance (AMR))

Abstract

Introduction: Stenotrophomonas maltophilia (S. maltophilia) has emerged as an important opportunistic pathogen. It is resistant to most available antibiotics due to its intrinsic resistance, leaving only some antibacterial agents as possible therapeutic options, which is further complicated by acquired mechanisms of antimicrobial resistance. This study aimed to provide a comprehensive genomic characterization of clinical S. maltophilia complex (Smc) isolates, focusing on molecular characterization of its resistance and virulence, since studies tackling this are scarce in Oman. Methods: This study is a prospective cross-sectional study, in which a total of 21 clinical isolates of Smc were collected from different clinical samples and further characterized using Whole Genome Sequencing. Results: Besides S. maltophilia, the isolates included S. hibiscicola, S. pavanii, and S. muris for the first time in Oman. All isolates were found to be susceptible to cefiderocol, levofloxacin, and minocycline. Sequence types (STs) were diverse among the isolates, with more than half of the isolates showing new STs with novel alleles. Additionally, blaOXA-2, sul1, and the recently described aac(6′)-Iap and aph(9)-Ic were detected among the isolates. Moreover, virulence-associated genes (smf-1, pilT, pilQ, gpmA, rmlA, spgM, stmPr1, plcN, clpP, and katE) were highly conserved across all isolates. Mobile genetic elements were detected in most of the isolates (76.20%). Conclusions: The collected isolates showed high ST diversity and showed no specific pattern in terms of antibiotic susceptibility and resistance genes. More studies are needed to establish relationships between the different members of the Smc and the different molecular resistome and virulome.

1. Introduction

Stenotrophomonas maltophilia (S. maltophilia) is an aerobic, glucose non-fermenting, motile Gram-negative bacillus, which was previously known as Pseudomonas maltophilia or Xanthomonas maltophilia. It is abundant in different environmental surroundings [1,2].
S. maltophilia was deemed a low-virulence bacterium; however, it has emerged as an important opportunistic nosocomial pathogen, especially among debilitated patients, because of its ability to survive in hospital settings. It ranks in the third place after Pseudomonas aeruginosa and Acinetobacter baumannii as the most isolated unusual non-fermenting Gram-negative bacteria [2,3,4]. It is implicated in different types of infections; however, it is often recovered from patients with chronic lung diseases. Also, it causes infections in different sites, including respiratory tract infections, urinary tract infections, catheter-associated bloodstream infections, meningitis, and endocarditis [2,5,6,7].
S. maltophilia is recognized as a clinically important opportunistic pathogen with substantial intrinsic antimicrobial resistance, which complicates treatment and limits available therapeutic options [8]. Low membrane permeability, multidrug resistance efflux pumps, and aminoglycoside-modifying enzymes are among the different intrinsic mechanisms of antimicrobial resistance in S. maltophilia [9].
β-lactamases are enzymes that hydrolyze β-lactams and render them inactive. Generally, Ambler classification is the most used classification system to categorize these enzymes, relying on their amino acid similarities. According to Ambler classification, β-lactamases are grouped into four distinct classes: A, B, C, and D. Class B includes the metallo-β-lactamases, in which Zn2+ is essential for their activity, while the rest of the classes do not possess Zn2+ in their active site; instead, they possess the amino acid “serine” [10,11,12]. A major component of its intrinsic β-lactam resistance is the production of two chromosomally encoded β-lactamases, L1 and L2 [13]. L1 is a metallo-β-lactamase, whereas L2 is a serine β-lactamase; together, they contribute to the broad β-lactam resistance profile commonly observed in S. maltophilia [14].
S. maltophilia carries different virulence factors as well as various virulence-associated putative factors. These factors contribute to many aspects of its ability to effectively colonize and persist on surfaces as well as its ability to form biofilms on different surfaces, which increases resistance to antimicrobial agents and host immune responses. These factors include structures responsible for adhesion, like fimbriae, type IV pili, and adhesins, in addition to the production of enzymes such as proteases and lipases, as well as quorum sensing and different secretion systems [7,15,16].
S. maltophilia complex (Smc) is a group of closely related species that has been recently expanded to include mainly S. maltophilia, S. beteli, S. forensis, S. geniculata, S. hibiscicola, S. muris, S. pavanii, S. riyadhensis, and S. sepilia [17]. Genomic studies have shown that the Smc is highly heterogeneous, comprising multiple phylogenetic lineages and closely related species-level clades, which complicates species-level identification and epidemiological interpretation [18,19]. In particular, 16S rRNA gene sequencing has limited discriminatory power for closely related Stenotrophomonas species, while routine identification methods such as Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS) may be influenced by the breadth and quality of reference databases [19]. In addition, virulome interpretation remains challenging because many predicted virulence-associated determinants are putative and are often inferred using broad, non-species-specific databases rather than a dedicated S. maltophilia virulence framework [7]. Collectively, these challenges underscore the value of whole-genome sequencing in resolving species-level identity, defining resistome and virulome profiles, and enhancing genomic surveillance of Smc isolates.
Despite the growing recognition of Smc as an important opportunistic pathogen, genomic data from Oman remain scarce. Therefore, this study aimed to provide a comprehensive genomic characterization of clinical Smc isolates from Oman, with particular emphasis on antimicrobial resistance determinants, virulence-associated genes, mobile genetic elements, and phylogenetic relatedness. These findings may contribute to a better understanding of the local genomic epidemiology of Smc and its potential implications for clinical microbiology, infection control, and antimicrobial resistance surveillance.

2. Results

In this study, a total of 21 consecutive clinical isolates of Smc were collected, sequenced, and deposited in the National Center for Biotechnology Information (NCBI) database. To prevent patient-repetition bias, this dataset was deduplicated to 20 unique isolates for downstream demographic and phenotypic susceptibility profiling. The demographic characteristics, hospital ward distributions, and different types of samples of the 20 isolates are shown in Table 1.
The clinical isolates of Smc that were collected from different clinical samples are shown in Figure 1. Most of the Smc clinical isolates (15/20, 75%) were obtained from respiratory tract infections, while only one isolate (1/20, 5%) was obtained from blood culture from a central-line catheter. Wound swabs and urine samples provided only two isolates (2/20, 10%) each.
All isolates in this study were susceptible to cefiderocol (FDC), levofloxacin (LEV), and minocycline (MH) (Figure 1). However, susceptibility was variable to chloramphenicol (CL), trimethoprim/sulfamethoxazole (SXT), and ticarcillin/clavulanic acid (TLC), with most of the isolates susceptible to CL followed by SXT and TLC. SXT-susceptible isolates were (14/20, 70%) of the isolates, and the rest were resistant to SXT. CL-susceptible isolates were (16/20, 80%) of the isolates, with the rest of the isolates being intermediate. Lastly, TLC showed the least susceptibility, with only (8/20, 40%) of the isolates being susceptible, (9/20, 45%) of isolates being intermediate, and the rest of the isolates (3/20, 15%) being resistant. The MIC values of CL and TLC are shown in Table 2.
The identification to the species level of the 21 isolates was confirmed by 16S rRNA sequencing used in WGS assembly quality control checks, and confirmed again using the KmerFinder 3.2 online tool. However, on submission to NCBI, ten of the isolates (10/21, 47.62%) were found to belong to species other than S. maltophilia using Average Nucleotide Identity (ANI) (Figure 1). Remarkably, one of the isolates (OM-AH-Sm15) was confirmed to be S. muris, and to the best of our knowledge, this is the first report of S. muris from a clinical sample in Oman. It is worth mentioning that all the identified species belonged to Smc. The phylogenetic relationship between the 21 isolates is shown in Figure 1.
The most detected STs were ST78 in three (14.29%) isolates. Ten isolates (47.62%) showed completely novel alleles, and the combination of the different alleles subsequently formed novel STs. Two other isolates (9.52%) had unique combinations of alleles that formed novel STs. These novel alleles and STs were submitted to pubMLST (Figure 1). Additionally, the different alleles and STs, including the novel ones, are shown in Table 3.
The distribution of antibiotic resistance genes among Smc in clinical isolates was identified (Figure 2). Genotypically, efflux pump-associated genes were identified, and the most frequently detected was smeR, followed by smeS, and the least was smeD. Genes conferring resistance to aminoglycosides were detected and these include aac(6′)-Iak, aac(6′)-Iap, aac(6′)-Ib3, aac(6′)-Iz, aph(9)-Ic, and aph(3′)-IIc, with aph(9)-Ic and aph(3′)-IIc being the most common. Genes conferring resistance to beta-lactams were detected; these were blaL1, which was the most frequently detected, and blaOXA-2 was the least in only one isolate. Finally, the sul1 gene conferring SXT resistance was detected in only one isolate (Figure 2).
Virulence genes related to adhesion (smf-1, pilT, pilQ, and gpmA), biofilm formation (rmlA and spgM), enzymes (stmPr1 and plcN), and genes related to stress response and survival (clpP and katE) were detected across all the isolates (100%). BLASTP 2.16.0+ alignment metrics (E-value and Percentage Identity) of protein sequences of the virulence-associated factors of all isolates against the S. maltophilia K279a reference genome are illustrated in Supplementary Table S1.
MGEs were detected in (16/21, 76.19%) isolates, with isolate OM-AH-Sm18 showing the highest MGE burden. No MGEs were detected in (5/21, 23.80%) isolates OM-AH-Sm6, OM-AH-Sm7, OM-AH-Sm9, OM-AH-Sm10, and OM-AH-Sm13. Insertion sequences constituted the dominant MGE category, accounting for (37/40, 92.5%) detected elements, whereas composite transposons and unit transposons were less frequent, representing (2/40, 5%) and (1/40, 2.5%) elements, respectively. At the family level, IS110 was the most prevalent insertion sequence family, followed by IS481 and IS3. ISStma6 was the most frequently detected individual element and was predominantly associated with the IS110 family (Table 4).

3. Discussion

In this study, most of the Smc isolates (15/20, 75%) were obtained from respiratory tract infections; these samples were mainly sputum and tracheal aspirate samples (7/15, 46.67%), and only one (1/15, 6.67%) bronchoalveolar lavage sample. Bloodstream infections accounted for one isolate only out of the total 20 S. maltophilia (1/20, 5%), and wound infections and urinary tract infections only accounted for two isolates each (2/20, 10%). Pourmahdi-Torghabeh et al. [21] also reported the isolation of S. maltophilia from different types of infections, such as respiratory infections, urinary tract infections, wound infections, and bloodstream infections, with S. maltophilia isolated mostly from the latter. In a twenty-year period, a retrospective study by Song et al. [22], reported that more that 80% of the isolates were from respiratory samples.
Cefiderocol (FDC) is a new siderophore cephalosporin that has recently been approved by the Food and Drug Administration (FDA) for the treatment of certain serious infections caused by a group of Gram-negative bacteria. It is worth mentioning that in vitro data are available; however, clinical studies are still very limited with regard to the treatment of infections caused by S. maltophilia, with few studies describing it as a promising, effective treatment [23,24,25].
Traditionally, the backbone of treatment for S. maltophilia infections has been SXT [26]; however, this is changing with the updated recommendation by the Infectious Diseases Society of America (IDSA), which recommends the use of SXT as one of at least two-drug combination therapy and orders these antimicrobial agents according to preference, with SXT being the third after FDC and MH [27].
In this study, the findings of antibiotic susceptibility testing show that all Smc isolates (100%) were susceptible to FDC, LEV, and MH. The isolates were least susceptible to TLC, followed by SXT and CL. These findings adhere to and emphasize the importance of the updated IDSA guidelines with regard to management of S. maltophilia infections. Similar results regarding FDC susceptibility were also reported by other studies [28,29]. In addition, previous studies reported variable susceptibility patterns to SXT, TLC, LEV, or CL [21,30,31].
Smc members demonstrate an intricate phylogeny due to the conserved 16S rRNA gene sequence [30]. In the present study, the isolates were initially identified using MALDI-TOF MS as belonging to the S. maltophilia group. The identification was further confirmed with 16S rRNA sequence analysis and KmerFinder using WGS data. However, upon submission of the WGS of all 21 isolates to NCBI, and using ANI in the checks for submitted genomes, (11/21, 52.38%) of the isolates were confirmed to be S. maltophilia, (3/21, 14.29%) isolates were identified as S. hibiscicola, and only one isolate (1/21, 4.76%) was identified as S. pavanii, one was identified as S. geniculata, and one was identified as S. muris. However, (4/21, 19.05%) did not match any described type strains within the Smc and were each classified as a distinct Stenotrophomonas maltophilia complex sp. OM-AH-Sm3, OM-AH-Sm11, OM-AH-Sm12 and OM-AH-Sm13. To the best of our knowledge, this is the first report of S. hibiscicola, S. pavanii, and S. geniculata from clinical specimens in Oman.
Other studies also reported the identification of S. hibiscicola, S. pavanii, or S. geniculata, and demonstrated that although MALDI-TOF MS is routinely used in clinical laboratories, accurate identification of the closely related species of Smc should be based on ANI or digital DNA–DNA hybridization (dDDH) [30,32].
In the present study, S. muris was obtained from the sputum sample of an elderly female patient (OM-AH-Sm15); it showed susceptibility to all antimicrobial agents used in this study. To the best of our knowledge, this is the first time in Oman, and one of the few times in the world, to report S. muris from a clinical sample. This is due to the fact that S. muris is a recently identified species within the genus, as it was first described in 2022 [33], then its association with human infections (respiratory infection and bloodstream infection) was reported in a study by Liu et al. [34], in 2025, and recently in 2026, a study by Xu et al. [35].
To date, more than 1450 MLST S. maltophilia profiles are present on the public databases for molecular typing and microbial genome diversity, pubMLST. In the present study, the most frequently observed ST was ST78 (3/21, 14.29%), and the rest of the isolates (18/21, 85.71%) showed highly diverse STs that were dispersed among the isolates. Moreover, 17 different alleles were identified in 9 different isolates; these isolates formed novel, unique STs, which were subsequently submitted to pubMLST, along with two other isolates that had unique combinations of already known alleles forming new STs. Overall, 12 different STs were identified and submitted to pubMLST. All novel alleles and novel STs were deposited in the pubMLST (https://pubmlst.org/bigsdb?db=pubmlst_smaltophilia_seqdef, accessed on 24 April 2026). Novel alleles of S. maltophilia and striking diversity among the STs have been reported previously [14,30,36,37,38,39].
In the present study, already known STs (ST4, ST28, ST31, ST78, ST138 and ST293) were also found, and these were previously reported [14,30,36,37,40].
Smc is well known for its intrinsic resistance to many antimicrobial agents; the presence of acquired resistance mechanisms further limits possible therapeutic options for Smc infections. Intrinsic resistance to aminoglycosides in Smc is mainly due to the chromosomally encoded aminoglycoside-modifying enzymes [27,32].
In the present study, all isolates harbored aminoglycoside-modifying enzymes. The frequency of the genes encoding aminoglycoside resistance ranged from two to three genes per isolate, with (6/21, 28.57%) isolates harboring three genes and most of the isolates (15/21, 71.43%) harboring two genes. The overall detected genes were aac(6′)-Iak, aac(6′)-Iap, aac(6′)-Ib3 each detected in (1/21, 4.76%), and aac(6′)-Iz in (4/21, 19.05%), aph(9)-Ic in (20/21, 95.24%) and aph(3′)-IIc in all isolates (100%). It is worth mentioning that there was no striking difference in the distribution of the genes encoding aminoglycoside-modifying enzymes across the different species in the 21 isolates. Interestingly, aac(6′)-Iap and aph(9)-Ic were recently identified in S. maltophilia isolates in a study by Kawauchi et al. [41] and a study by Shi et al. [42], respectively. Additionally, the presence of aac(6′)-Iak, aac(6′)-Ib3 (aacA4), aac(6′)-Iz and aph(3′)-IIc in S. maltophilia was previously reported [43].
In this study, metallo-β-lactamase, blaL1, was detected in most of the isolates (20/21, 95.24%), as it is a chromosomally encoded β-lactamase [16]. Moreover, blaOXA-2, a class D β-lactamase, was found in only one S. maltophilia isolate (OM-AH-Sm20) using CARD with perfect matches and using ResFinder with 100% identity in each. It is unusual to report blaOXA-2 from S. maltophilia; however, it is worth mentioning that the isolate that harbored blaOXA-2 also carried different insertion sequences (IS6100/IS6100R/IS6100L, ISStma2, and ISPa36), which may explain the acquisition of the blaOXA-2 gene in this isolate.
Trimethoprim/sulfamethoxazole (SXT) has long been used to treat infections caused by Smc, and its resistance is increasingly detected among these isolates. SXT resistance is mediated mainly by sul genes [27,30]. The presence of sul1 harbored by S. maltophilia isolates was previously reported [30,32,44,45,46]. Interestingly, although six isolates were phenotypically resistant to SXT, the sul1 gene was detected in only one isolate. This indicates that SXT resistance in the remaining isolates may be mediated by mechanisms other than sul1. Similar findings have been reported in previous studies, in which SXT-resistant S. maltophilia isolates did not carry detectable sul1 genes [38,45,46]. Possible explanations include the involvement of other sulfonamide resistance determinants, mutations affecting the folate biosynthesis pathway, overexpression of multidrug efflux pumps, or additional resistance mechanisms not detected by the ResFinder and CARD databases used in this study. Further phenotypic and functional studies are required to clarify the mechanisms underlying SXT resistance in these isolates.
Smc possesses multidrug efflux pumps, which contribute to the limited activity of antimicrobial agents, including SXT, tetracyclines, and fluoroquinolones [27]. SmeABC is a multidrug efflux pump which belongs to the Resistance-Nodulation-Division (RND) family and confers resistance to beta-lactams, aminoglycosides, and fluoroquinolones [32]. Additionally, SmeDEF is another efflux pump that belongs to the RND family, confers resistance to quinolones and SXT resistance in S. maltophilia, and impacts biofilm formation and motility [7,47]. Moreover, SmeRS is the two-component regulatory system for smeABC [32]. In the present study, efflux pumps were detected in (17/21, 80.95%) of the isolates; the efflux pump genes detected are smeS, smeD, and smeR, which belong to the RND family. Other studies have also identified genes belonging to the RND family of efflux pumps [32,40].
S. maltophilia harbours different virulence factors, including pili/fimbriae for adhesion and motility, different enzymes such as StmPr1 (serine protease) and PlcN1 (Phospholipase C), factors that help with survival and stress response encoded by genes such as clpP genes, and other factors important in biofilm formation, which are encoded by genes such as rmlA, and xanB (spgM) [7,15,16]. Biofilms are significant to the bacterial ability to resist antibacterial agents as well as immune responses. Also, biofilms contribute significantly to the ability of S. maltophilia to survive on different surfaces, including medical equipment [5,7].
In the present study, all the 21 isolates of the different species were found to carry genes contributing to fimbriae and pili formation: smf-1, pilT, pilQ, and gpmA, contributing to adhesion. Type 1 fimbriae, Smf-1, is an important virulence factor that contributes to the adherence of S. maltophilia to host epithelia, and it plays an important role in the early stages of biofilm formation [7]. While type IV pilus biogenesis protein PilQ is one of the pilus assembly proteins, PilT is one of the twitching motility proteins. GpmA is a glycolytic enzyme phosphoglycerate mutase, which contributes to the adherence of S. maltophilia to biotic and abiotic surfaces. Moreover, gpmA mutations hinder biofilm formation on both surfaces [48,49].
Studies by Adamek et al. and Kalidasan et al. are among the few studies that investigated the presence of genes related to fimbriae and pili formation among the genomes of S. maltophilia isolates K279a (clinical isolate) as well as environmental isolates, and smf-1, pilT, and pilQ were found among all the isolates [50,51]. Different studies reported finding smf-1 among S. maltophilia isolates. Pourmahdi-Torghabeh et al. reported finding smf-1 in all the isolates [21]. Other studies have reported the presence of smf-1 in almost all isolates [52,53,54]. Also, this gene has been reported in different species belonging to Smc [30,55]. Moreover, pilT, pilQ, and gpmA have also been previously reported [49,56].
All isolates in this study harboured genes encoding for non-hemolytic phospholipase C (PlcN1) and extracellular serine protease (StmPr1). PlcN1 is implicated in the destruction of lipoprotein membranes, mucin, and immunoglobulins, while StmPr1secretion is mediated via a type II secretion system and is involved in the degradation of fibronectin, fibrinogen, collagen, and interleukin 8 (IL-8) [7,52]. Similarly, Strateva et al. reported finding plcN1 in 99.1% of tested isolates [52]. However, Saleh et al. reported that plcN1 was present in 84% of the tested isolates, and Nicolas-Sayago et al. did not find plcN1 or stmPr1 in any of the tested isolates [31,57]. Similar to our study, the stmPr1 gene was reported by Wang et al. in 100% of S. maltophilia and not in other species (S. geniculata, S.pavanii and S. hibiscicola), and Fluit et al. reported that stmPr1 was found in 100% of the S. maltophilia isolates and 100% in the other Stenotrophomonas species [30,55]. However, Saleh et al. reported the stmPr1 gene in 87% of the tested isolates [57].
Moreover, genes encoding stress response (clpP and katE) were found in all the isolates, belonging to the different species of Stenotrophomonas. ClpP is involved in the processing of defective cytoplasmic proteins and contributes to intrinsic resistance to aminoglycosides. KatE is one of the H2O2 scavenging enzymes, which act in response to oxidative stress [58,59]. ClpP is a highly conserved protease in prokaryotic cells, and KatE was found to be present in the S. maltophilia K279a strain by Crossman et al. [60].
Biofilm formation is the cornerstone enabling persistence of Stenotrophomonas infection; all the isolates in this study harboured genes rmlA and xanB (spgM), which encode factors important in biofilm formation. These are biofilm-associated genes, one of which is an enzyme with phosphomannomutase and phosphoglucomutase activities (RmlA); a mutation in rmlAC was associated with a defective outer membrane layer and impaired biofilm formation [5,61]. Similar to our study, Nicolas-Sayago et al. reported that rmlA was present in 100% of isolates [31]. Fluit et al. reported that rmlA was present in all of the S. maltophilia isolates and 97.8% in the other Stenotrophomonas species [55]. Wang et al. reported the presence of rmlA in 36.84% of S. maltophilia isolates, and its presence was variable from 0%, 16.67, to 100% in isolates belonging to S. geniculata, S. pavanii, and hibiscicola, respectively [30]. Other studies reported that the presence of rmlA was variable among the isolates [21,39,54,57]. XanB, also called SpgM, is a phosphomannose isomerase-GDPmannose pyrophosphorylase, which is involved in the formation of a thicker LPS layer and plays an important role in biofilm formation [5,7,62,63]. In this study, spgM was found in all the isolates. This was consistent with a previous study by Bostanghadiri et al., who reported that 100% of the isolates harboured the spgM gene [39]. Also, Fluit et al. reported that spgM was present in 100% of the S. maltophilia isolates and 97.8% in the other Stenotrophomonas species [55]. In addition, other studies reported its variable presence [21,54].
Smc is an opportunistic Gram-negative pathogen notable for its intrinsic and acquired resistance to multiple antibiotics, which is attributed to the presence and activity of mobile genetic elements (MGEs) such as integrons, plasmids, transposons, insertion sequences, and prophages [64,65,66]. These MGEs play a critical role in the horizontal transfer of resistance genes, shaping the genetic diversity and adaptability of S. maltophilia in clinical and environmental settings [30,67].
S. maltophilia harbors a wide array of MGEs, including plasmids, integrative and conjugative elements (ICEs), integrons, insertion sequences, prophages, and genomic islands [64,65,66].
The present study demonstrated a substantial distribution and diversity of MGEs among clinical Smc isolates, highlighting their potential contribution to genome plasticity and adaptive evolution. MGEs were identified in (16/21, 76.20%) isolates, with isolate (OM-AH-Sm18) exhibiting the highest MGE burden, followed by (OM-AH-Sm20), suggesting increased genomic dynamism and a potentially enhanced capacity for horizontal gene acquisition. In contrast, five isolates lacked detectable MGEs, indicating heterogeneity in MGE carriage among the isolates. Insertion sequences (ISs) represented the predominant MGE category, accounting for (37/40, 92.5%) of all detected elements, whereas composite and unit transposons were comparatively uncommon. The predominance of IS elements is consistent with previous studies demonstrating that ISs constitute a major mobilome component in S. maltophilia and contribute to genomic rearrangements, gene disruption, and mobilization of adaptive determinants [64,66].
In our study, among the detected IS families, IS110 was the most prevalent, followed by IS481 and IS3, suggesting lineage-specific enrichment of particular transposition systems within the studied isolates. Notably, ISStma6 was the most predominantly associated with the IS110 family and the most frequently identified element, indicating possible selective maintenance or expansion of this element in S. maltophilia genomes. The marked predominance of ISs may, therefore, reflect ongoing microevolutionary processes driven by selective pressures within clinical environments, including antimicrobial exposure and host-associated stress conditions [30,64,66]. Large-scale comparative genomics further reveals that the S. maltophilia complex is highly diverse, with lineage-specific enrichment of MGEs such as ICEs, integrons, transposases, and prophages, which correlate with source and geographic distribution. Furthermore, the observed variability in MGE content among isolates supports previous reports describing substantial genomic heterogeneity and lineage-dependent mobilome profiles in S. maltophilia populations [30,64,68].

4. Materials and Methods

4.1. Study Design and Sample Collection

This study is a prospective cross-sectional study conducted in Sultan Qaboos University (SQU) in collaboration with Sultan Qaboos University Hospital (SQUH). A total of 21 clinical isolates of Smc were collected (with clinical deduplication to 20 unique episodes detailed in the Section 2, Table 1) from different samples, respiratory, blood culture, wound swab, and urine, submitted to the Microbiology Diagnostic Laboratory in SQUH, during the period from the start of March 2025 to the end of August 2025. The clinical isolates of Smc were identified as belonging to the S. maltophilia group, using MALDI-TOF MS (Bruker, Munich, Germany), using the Bruker Daltonics Applications Library (BDAL, Revision 13), the synchronized In Vitro Diagnostics clinical library (IVD_equivalent, Revision 13), and the specialized Bruker Filamentous Fungi Library (Revision 7). Ethical approval was obtained from the Medical Research Ethics Committee (MREC), College of Medicine & Health Sciences, SQU (REF. NO. SQU-EC/280\2024).
The collected Smc clinical isolates were preserved at −80 °C in the CRYOBANK bacterial preservation and storage system (Mast Group Ltd., Bootle, UK). For downstream processing, these isolates were subcultured on sheep blood agar (Oxoid, Basingstoke, UK).

4.2. Antibiotic Susceptibility Testing

Antimicrobial susceptibility testing was performed using the disc diffusion method for trimethoprim/sulfamethoxazole (SXT, 25 μg), minocycline (MH, 30 μg), levofloxacin (LEV, 5 μg), and cefiderocol (FDC, 30 μg), while the E-test was used for ticarcillin/clavulanic acid (TLC) and chloramphenicol (CL). Muller–Hinton agar was used in susceptibility testing. Muller–Hinton agar and the antibiotic discs were purchased from (Oxoid, Basingstoke, UK). E-tests were purchased from (BioMérieux, Marcy-l’Étoile, France). The tests were conducted, and the results were interpreted according to CLSI 2025 [20].

4.3. DNA Extraction and Whole Genome Sequencing

Whole genome sequencing (WGS) was carried out for the 21 isolates identified as S. maltophilia. First, DNA extraction was done using QIAamp DNA Mini Kit and an EDTA-free EB buffer (Qiagen, Hilden, Germany) on an overnight bacterial culture in Nutrient broth (Oxoid, Basingstoke, UK). The purity of the extracted DNA was assessed using Nanodrop (IMPLEN/nanophotometer N120, Munich, Germany). The concentration of the extracted DNA was then quantified using Qubit (Thermo Fisher Scientific, Waltham, MA, USA), and the integrity of the extracted genomic DNA was checked against GeneRuler 1 kb DNA ladder (Thermo Fisher Scientific, Waltham, MA, USA) using 1% agarose gel electrophoresis (ACROS Organics agarose LE, Thermo Fisher Scientific, Waltham, MA, USA). Electrophoresis was performed at 100 V for 30 min, and the bands were visualized using Invitrogen iBright1500 (Thermo Fisher Scientific, Waltham, MA, USA).
Then, WGS was carried out using the Illumina platform MicrobesNG (https://microbesng.co.uk, Birmingham, UK, accessed on 15 April 2026).
DNA libraries were prepared using standard Illumina library preparation methods, then sequencing was performed on an Illumina NextSeq platform to give paired-end reads, followed by quality control assessment and trimming. Raw reads were de novo assembled using SPAdes (version 3.7) with a minimum coverage of 60×. The resulting contigs were then annotated using Prokka (version 1.11) [69,70].
The assembled genomes were then analysed using different online tools; pubMLST database (University of Oxford, Oxford, UK) (https://pubmlst.org/bigsdb?db=pubmlst_smaltophilia_seqdef&l=1&page=sequenceQuery, accessed on 24 April 2026) to identify the different sequence types (ST) [71]. MGEfinder in the Center for Genomic Epidemiology (CGE, Lyngby, Denmark) (https://cge.food.dtu.dk/services/MobileElementFinder/, accessed on 7 April 2026) was used to detect mobile genetic elements (MGEs) [72]. ResFinder version 4.7.2 in CGE (Lyngby, Denmark) (https://genepi.food.dtu.dk/resfinder, accessed on 5 April 2026) [73] and the Comprehensive Antibiotic Resistance Database (CARD) version 4.0.1, with (McMaster University, Hamilton, Canada) (https://card.mcmaster.ca/analyze/rgi, accessed on 1 April 2026) [74] were used to identify different genes associated with antimicrobial resistance. The results of ResFinder and the strict and perfect results of CARD that fulfill an equal or above 80% identity of matching region and equal or above 60% length of reference sequence were reported.
To identify different virulence genes, the annotated Genbank files resulting from the WGS were then used to identify genes associated with adhesion (smf-1, pilT, pilQ, and gpmA), biofilm formation (rmlA and spgM), enzymes (stmPr1 and plcN), and genes related to stress response and survival (clpP and katE). Then, the presence of these genes was further validated by performing a BLASTP 2.16.0+ [75,76] of the amino acids in the Genbank files search against the UniProt database [77] (UniProt Consortium; Hinxton, UK/Geneva, Switzerland/Washington, D.C., USA) (https://www.uniprot.org/blast, accessed on 18 April 2026). Criteria for confirmation included a sequence identity >70% relative to the S. maltophilia reference strain K279a, and E-values of zero (or very low E-values approaching zero) were reported.
CSI Phylogeny in CGE (https://cge.food.dtu.dk/services/CSIPhylogeny/, accessed on 31 March 2026) [78] was used to construct the phylogenetic tree, which was then visualized and annotated using Interactive Tree of Life (iTOL, version 7) (https://itol.embl.de/, accessed on 17 May 2026) [79].
KmerFinder 3.2 in GCE was used to confirm the identification of the isolates to the species level (https://cge.food.dtu.dk/services/KmerFinder/, accessed on 30 April 2026) [80,81,82]. The correct identification to species level was done by the National Center for Biotechnology Information (NCBI) on submission of the WGS data using average nucleotide identity (ANI) against the genomes of the type strains already present in GenBank [83,84].
This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession numbers: JBXVPA000000000 to JBXVPI000000000, JBXVOX000000000 to JBXVOZ000000000, and JBYBLI000000000 to JBYBLQ000000000. The details are shown in Supplementary Table S2.

5. Conclusions

This study showed high ST diversity among the studied isolates, with newly identified alleles and STs. Among the isolates, S. muris, S. geniculata, S. pavanii, and S. hibiscicola were identified using ANI during NCBI checks, which are reported for the first time in Oman from clinical isolates. These isolates showed no specific pattern in terms of antibiotic susceptibility; all isolates were found to be susceptible to FDC, MH, and LEV. Moreover, virulence-associated genes (smf-1, pilT, pilQ, gpmA, rmlA, spgM, stmPr1, plcN, clpP, and katE) were highly conserved across all isolates. Furthermore, resistance genes (blaOXA-2, blaL1, and sul1) demonstrated variable distribution patterns among isolates. More studies are needed to establish relationships between the different members of the Smc and the different molecular resistome and virulome.

6. Limitations

This study has several limitations. First, it was conducted at a single tertiary care hospital, SQH, and included 21 Smc clinical isolates collected over a six-month period. Therefore, the findings may not fully represent the broader epidemiology, genomic diversity, or antimicrobial resistance patterns of the Smc across Oman. Nevertheless, despite the limited sample size, the study identified novel alleles, new sequence types, and a Stenotrophomonas species reported from Oman for the first time, highlighting the value of genomic surveillance even in small preliminary datasets. Second, although basic clinical metadata were included in this study, detailed clinical information and patient outcomes were not comprehensively available. Third, the genomic interpretation of Smc isolates remains challenging due to the complexity of taxonomy and species-level identification within the complex, as well as the lack of dedicated and comprehensive virulence factor databases specific to this organism.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/antibiotics15060600/s1: Supplementary Table S1: BLASTp Alignment Metrics (E-value and Percentage Identity) of Stenotrophomonas maltophilia Complex Protein Sequences of certain virulence associated factors Against the S. maltophilia K279a Reference Genome; Supplementary Table S2: shows the accession numbers under which the Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank. The BioProject ID is PRJNA1456569.

Author Contributions

Conceptualization, A.E. and H.A.-H.; data curation, S.A.H.A.-U., A.E. and H.A.-H.; formal analysis, A.E. and H.A.-H.; investigation, A.E., A.A.-B., A.A.-H., Z.J.A.-L. and H.A.-H.; methodology, A.E., A.A.-B., S.A.H.A.-U., A.A.-H., Z.J.A.-L. and H.A.-H.; writing—original draft preparation, A.E. and H.A.-H.; writing—review and editing, A.E., A.A.-B., S.A.H.A.-U., A.A.-H., Z.J.A.-L. and H.A.-H.; supervision, A.E. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by Sultan Qaboos University Deanship of Research grant (RF/--/MED/M&I/25/001, approval date: 25 December 2024).

Institutional Review Board Statement

This study complied with the Declaration of Helsinki and received formal approval from the Medical Research Ethics Committee (MREC) of the College of Medicine & Health Sciences, SQU (REF. NO. SQU-EC/280\2024), on 4 February 2025.

Informed Consent Statement

Informed consent was waived because the study used bacterial strains isolated from bacterial isolates obtained during routine laboratory investigations, and the study did not involve direct patient contact.

Data Availability Statement

The original data for this study are available within the manuscript, and any additional inquiries can be sent to the corresponding author.

Acknowledgments

The authors would like to express their deep appreciation and gratitude to Sultan Qaboos University (SQU), College of Medicine and Health Sciences (COMHS), for their continuous support in conducting this research. ChatGPT 5.3 was used to construct the heatmap figure during the preparation of this manuscript. The authors have reviewed and edited the manuscript and are fully responsible for its content.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
SmcStenotrophomonas maltophilia complex
SQUSultan Qaboos University
SQUHSultan Qaboos University Hospital
MRECMedical Research Ethics Committee
SXTTrimethoprim/sulfamethoxazole
MHMinocycline
LEVLevofloxacin
FDCCefiderocol
TLCTicarcillin/clavulanic acid
CLChloramphenicol
CLSIClinical and Laboratory Standards Institute
WGSWhole genome sequencing
MGEsMobile genetic elements
CARDComprehensive Antibiotic Resistance Database
NCBINational Center for Biotechnology Information
ANIAverage nucleotide identity
dDDHDigital DNA–DNA hybridization
ISsInsertion sequences
MLSTMultilocus Sequence Typing

References

  1. Adegoke, A.A.; Stenstrom, T.A.; Okoh, A.I. Stenotrophomonas maltophilia as an Emerging Ubiquitous Pathogen: Looking Beyond Contemporary Antibiotic Therapy. Front. Microbiol. 2017, 8, 2276. [Google Scholar] [CrossRef]
  2. Carbonell, N.; Oltra, M.R.; Clari, M.A. Stenotrophomonas maltophilia: The Landscape in Critically Ill Patients and Optimising Management Approaches. Antibiotics 2024, 13, 577. [Google Scholar] [CrossRef]
  3. Geller, M.; Nunes, C.P.; Oliveira, L.; Nigri, R. S. maltophilia pneumonia: A case report. Respir. Med. Case Rep. 2018, 24, 44–45. [Google Scholar] [CrossRef]
  4. Hu, M.; Li, C.; Xue, Y.; Hu, A.; Chen, S.; Chen, Y.; Lu, G.; Zhou, X.; Zhou, J. Isolation, Characterization, and Genomic Investigation of a Phytopathogenic Strain of Stenotrophomonas maltophilia. Phytopathology 2021, 111, 2088–2099. [Google Scholar] [CrossRef]
  5. Bhaumik, R.; Aungkur, N.Z.; Anderson, G.G. A guide to Stenotrophomonas maltophilia virulence capabilities, as we currently understand them. Front. Cell. Infect. Microbiol. 2023, 13, 1322853. [Google Scholar] [CrossRef]
  6. Erinmez, M.; Askin, F.N.; Zer, Y. Stenotrophomonas maltophilia outbreak in a university hospital: Epidemiological investigation and literature review of an emerging healthcare-associated infection. Rev. Inst. Med. Trop. Sao Paulo 2024, 66, e46. [Google Scholar] [CrossRef]
  7. Mikhailovich, V.; Heydarov, R.; Zimenkov, D.; Chebotar, I. Stenotrophomonas maltophilia virulence: A current view. Front. Microbiol. 2024, 15, 1385631. [Google Scholar] [CrossRef]
  8. Brooke, J.S. New strategies against Stenotrophomonas maltophilia: A serious worldwide intrinsically drug-resistant opportunistic pathogen. Expert Rev. Anti-Infect. Ther. 2014, 12, 1–4. [Google Scholar] [CrossRef]
  9. Sanchez, M.B. Antibiotic resistance in the opportunistic pathogen Stenotrophomonas maltophilia. Front. Microbiol. 2015, 6, 658. [Google Scholar] [CrossRef]
  10. Ambler, R.P. The structure of beta-lactamases. Philos. Trans. R. Soc. Lond. B Biol. Sci. 1980, 289, 321–331. [Google Scholar] [CrossRef]
  11. Hall, B.G.; Barlow, M. Revised Ambler classification of beta-lactamases. J. Antimicrob. Chemother. 2005, 55, 1050–1051. [Google Scholar] [CrossRef]
  12. Ozturk, H.; Ozkirimli, E.; Ozgur, A. Classification of Beta-lactamases and penicillin binding proteins using ligand-centric network models. PLoS ONE 2015, 10, e0117874. [Google Scholar] [CrossRef]
  13. Okazaki, A.; Avison, M.B. Induction of L1 and L2 beta-lactamase production in Stenotrophomonas maltophilia is dependent on an AmpR-type regulator. Antimicrob. Agents Chemother. 2008, 52, 1525–1528. [Google Scholar] [CrossRef]
  14. Mojica, M.F.; Rutter, J.D.; Taracila, M.; Abriata, L.A.; Fouts, D.E.; Papp-Wallace, K.M.; Walsh, T.J.; LiPuma, J.J.; Vila, A.J.; Bonomo, R.A. Population Structure, Molecular Epidemiology, and beta-Lactamase Diversity among Stenotrophomonas maltophilia Isolates in the United States. mBio 2019, 10, e00405-19. [Google Scholar] [CrossRef]
  15. Trifonova, A.; Strateva, T. Stenotrophomonas maltophilia—A low-grade pathogen with numerous virulence factors. Infect. Dis. 2019, 51, 168–178. [Google Scholar] [CrossRef]
  16. Brooke, J.S. Stenotrophomonas maltophilia: An emerging global opportunistic pathogen. Clin. Microbiol. Rev. 2012, 25, 2–41. [Google Scholar] [CrossRef]
  17. Nguyen, S.V.; Edwards, D.; Vaughn, E.L.; Escobar, V.; Ali, S.; Doss, J.H.; Steyer, J.T.; Scott, S.; Bchara, W.; Bruns, N.; et al. Expanding the Stenotrophomonas maltophilia complex: Phylogenomic insights, proposal of Stenotrophomonas forensis sp. nov. and reclassification of two Pseudomonas species. Int. J. Syst. Evol. Microbiol. 2024, 74, 006602. [Google Scholar] [CrossRef]
  18. Groschel, M.I.; Meehan, C.J.; Barilar, I.; Diricks, M.; Gonzaga, A.; Steglich, M.; Conchillo-Sole, O.; Scherer, I.C.; Mamat, U.; Luz, C.F.; et al. The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia. Nat. Commun. 2020, 11, 2044. [Google Scholar] [CrossRef]
  19. Yu, Z.L.; Wang, R.B. Revised taxonomic classification of the Stenotrophomonas genomes, providing new insights into the genus Stenotrophomonas. Front. Microbiol. 2024, 15, 1488674. [Google Scholar] [CrossRef]
  20. Clinical and Laboratory Standards Institute. CLSI M100: Performance Standards for Antimicrobial Susceptibility Testing, 35th ed.; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2025. [Google Scholar]
  21. Pourmahdi-Torghabeh, N.; Mohammadzadeh, R.; Izadi, N.; Farsiani, H. Biofilm formation, biofilm-associated genes, and antibiotic resistance in clinical Stenotrophomonas maltophilia isolates in Northeastern Iran. J. Infect. Public Health 2026, 19, 103060. [Google Scholar] [CrossRef]
  22. Song, J.E.; Kim, S.; Kwak, Y.G.; Shin, S.; Um, T.H.; Cho, C.R.; Chang, J. A 20-year trend of prevalence and susceptibility to trimethoprim/sulfamethoxazole of Stenotrophomonas maltophilia in a single secondary care hospital in Korea. Medicine 2023, 102, e32704. [Google Scholar] [CrossRef] [PubMed]
  23. U.S. Food and Drug Administration. FETROJA (Cefiderocol) for Injection, for Intravenous Use [Package Insert]; U.S. Food and Drug Administration: Rockville, MD, USA, 2025.
  24. Vena, A.; Mezzogori, L.; Castaldo, N.; Corcione, S.; Pascale, R.; Giannella, M.; Pinna, S.M.; Giacobbe, D.R.; Bavaro, D.F.; Scaglione, V. Cefiderocol for the treatment of nosocomial bloodstream infections caused by Stenotrophomonas maltophilia: A case series and literature review. Infect. Dis. Ther. 2025, 14, 657–669. [Google Scholar] [CrossRef]
  25. Vattanaviboon, P.; Mongkolsuk, S.; Charoenlap, N. Cefiderocol as an alternative antibiotic therapy for treating severe Stenotrophomonas maltophilia infections. Acta Microbiol. Immunol. Hung. 2025, 72, 171–179. [Google Scholar] [CrossRef]
  26. Gibb, J.; Wong, D.W. Antimicrobial Treatment Strategies for Stenotrophomonas maltophilia: A Focus on Novel Therapies. Antibiotics 2021, 10, 1226. [Google Scholar] [CrossRef]
  27. Tamma, P.D.; Heil, E.L.; Justo, J.A.; Mathers, A.J.; Satlin, M.J.; Bonomo, R.A. Infectious Diseases Society of America 2024 Guidance on the Treatment of Antimicrobial-Resistant Gram-Negative Infections. Clin. Infect. Dis. 2024, ciae403. [Google Scholar] [CrossRef]
  28. Irigoyen-von-Sierakowski, A.; Ocana, A.; Sanchez-Mayoral, R.; Cercenado, E.; Group, G.-S.S. Real-world performance of susceptibility testing for cefiderocol: Insights from a prospective multicentre study on Gram-negative bacteria. JAC Antimicrob. Resist. 2024, 6, dlae169. [Google Scholar] [CrossRef] [PubMed]
  29. Aoki, W.; Uwamino, Y.; Niida, N.; Kubota, H.; Kamoshita, Y.; Inose, R.; Nagata, M.; Ishihara, O.; Uno, S.; Yoshifuji, A.; et al. Cefiderocol susceptibility of Stenotrophomonas maltophilia species complex and carbapenem-resistant Pseudomonas aeruginosa isolates from blood cultures at a university hospital in Tokyo, Japan. J. Glob. Antimicrob. Resist. 2025, 44, 251–255. [Google Scholar] [CrossRef]
  30. Wang, L.; Wang, Y.; Ye, K.; Qiu, X.; Zhao, Q.; Ye, L.; Yang, J. Molecular epidemiology, genetic diversity, antibiotic resistance and pathogenicity of Stenotrophomonas maltophilia complex from bacteremia patients in a tertiary hospital in China for nine years. Front. Microbiol. 2024, 15, 1424241. [Google Scholar] [CrossRef]
  31. Nicolas-Sayago, L.; Cruz-Cruz, C.; Duran-Manuel, E.M.; Castro-Escarpulli, G.; Ortiz-Lopez, M.G.; Jimenez-Zamarripa, C.A.; Rojas-Bernabe, A.; Nieto-Velazquez, N.G.; Tolentino-Sanchez, E.; Bravata-Alcantara, J.C.; et al. Genetic Diversity of Stenotrophomonas maltophilia and Clonal Transmission (ST92) in Critical Care Units at Hospital Juarez de Mexico: MLST and Virulence Profiling. Pathogens 2025, 14, 1125. [Google Scholar] [CrossRef] [PubMed]
  32. Li, K.; Yu, K.; Huang, Z.; Liu, X.; Mei, L.; Ren, X.; Bai, X.; Gao, H.; Sun, Z.; Liu, X.; et al. Stenotrophomonas maltophilia complex: Insights into evolutionary relationships, global distribution and pathogenicity. Front. Cell. Infect. Microbiol. 2023, 13, 1325379. [Google Scholar] [CrossRef]
  33. Afrizal, A.; Jennings, S.A.V.; Hitch, T.C.A.; Riedel, T.; Basic, M.; Panyot, A.; Treichel, N.; Hager, F.T.; Wong, E.O.; Wolter, B.; et al. Enhanced cultured diversity of the mouse gut microbiota enables custom-made synthetic communities. Cell Host Microbe 2022, 30, 1630–1645.e25. [Google Scholar] [CrossRef] [PubMed]
  34. Liu, J.; Dong, X.; Xiang, Y.; Li, Y.; Yu, Y.; Wu, T.; Yuan, X.; Cao, D.; Zhang, H.; Zhu, L.; et al. Stenotrophomonas muris-first discovered as a potential human pathogen with strong virulence and antibiotic resistance, associated with bloodstream infections. Microbiol. Spectr. 2025, 13, e0277024. [Google Scholar] [CrossRef]
  35. Xu, B.; Zeng, Y.; Yu, Z.; Jiang, Y.; Zhou, Y.; Wang, C.; Liu, J.; Wang, R.; Qi, W. Highly effective isolation of Stenotrophomonas from pharyngeal swabs of infected inpatients and issues in species identification. Microbiol. Spectr. 2026, 14, e0379825. [Google Scholar] [CrossRef]
  36. Yinsai, O.; Deeudom, M.; Duangsonk, K. Genotypic Diversity, Antibiotic Resistance, and Virulence Phenotypes of Stenotrophomonas maltophilia Clinical Isolates from a Thai University Hospital Setting. Antibiotics 2023, 12, 410. [Google Scholar] [CrossRef]
  37. Esposito, A.; Pompilio, A.; Bettua, C.; Crocetta, V.; Giacobazzi, E.; Fiscarelli, E.; Jousson, O.; Di Bonaventura, G. Evolution of Stenotrophomonas maltophilia in Cystic Fibrosis Lung over Chronic Infection: A Genomic and Phenotypic Population Study. Front. Microbiol. 2017, 8, 1590. [Google Scholar] [CrossRef]
  38. Rizek, C.F.; Jonas, D.; Garcia Paez, J.I.; Rosa, J.F.; Perdigao Neto, L.V.; Martins, R.R.; Moreno, L.Z.; Rossi Junior, A.; Levin, A.S.; Costa, S.F. Multidrug-resistant Stenotrophomonas maltophilia: Description of new MLST profiles and resistance and virulence genes using whole-genome sequencing. J. Glob. Antimicrob. Resist. 2018, 15, 212–214. [Google Scholar] [CrossRef]
  39. Bostanghadiri, N.; Ghalavand, Z.; Fallah, F.; Yadegar, A.; Ardebili, A.; Tarashi, S.; Pournajaf, A.; Mardaneh, J.; Shams, S.; Hashemi, A. Characterization of Phenotypic and Genotypic Diversity of Stenotrophomonas maltophilia Strains Isolated From Selected Hospitals in Iran. Front. Microbiol. 2019, 10, 1191. [Google Scholar] [CrossRef]
  40. Li, Y.; Liu, X.; Chen, L.; Shen, X.; Wang, H.; Guo, R.; Li, X.; Yu, Z.; Zhang, X.; Zhou, Y.; et al. Comparative genomics analysis of Stenotrophomonas maltophilia strains from a community. Front. Cell. Infect. Microbiol. 2023, 13, 1266295. [Google Scholar] [CrossRef]
  41. Kawauchi, R.; Tada, T.; Sherchan, J.B.; Shrestha, S.; Tohya, M.; Hishinuma, T.; Kirikae, T.; Sherchand, J.B. Stenotrophomonas maltophilia from Nepal Producing Two Novel Antibiotic Inactivating Enzymes, a Class A beta-Lactamase KBL-1 and an Aminoglycoside 6′-N-Acetyltransferase AAC(6′)-Iap. Microbiol. Spectr. 2022, 10, e0114322. [Google Scholar] [CrossRef] [PubMed]
  42. Shi, W.; Lu, J.; Feng, C.; Gao, M.; Li, A.; Liu, S.; Zhang, L.; Zhang, X.; Li, Q.; Lin, H.; et al. Functional characterization of a novel aminoglycoside phosphotransferase, APH(9)-Ic, and its variant from Stenotrophomonas maltophilia. Front. Cell. Infect. Microbiol. 2022, 12, 1097561. [Google Scholar] [CrossRef]
  43. Shao, L.; Liu, X.; Liu, Y.; Shen, J.; Liu, R.; Chen, P. Dissemination and characterization of Stenotrophomonas maltophilia isolates from Dairy Cows in Northeast China. Pol. J. Microbiol. 2023, 72, 319–323. [Google Scholar] [CrossRef]
  44. Hu, L.F.; Chen, G.S.; Kong, Q.X.; Gao, L.P.; Chen, X.; Ye, Y.; Li, J.B. Increase in the Prevalence of Resistance Determinants to Trimethoprim/Sulfamethoxazole in Clinical Stenotrophomonas maltophilia Isolates in China. PLoS ONE 2016, 11, e0157693. [Google Scholar] [CrossRef] [PubMed]
  45. Chung, H.S.; Kim, K.; Hong, S.S.; Hong, S.G.; Lee, K.; Chong, Y. The sul1 gene in Stenotrophomonas maltophilia with high-level resistance to trimethoprim/sulfamethoxazole. Ann. Lab. Med. 2015, 35, 246–249. [Google Scholar] [CrossRef] [PubMed]
  46. Liaw, S.J.; Lee, Y.L.; Hsueh, P.R. Multidrug resistance in clinical isolates of Stenotrophomonas maltophilia: Roles of integrons, efflux pumps, phosphoglucomutase (SpgM), and melanin and biofilm formation. Int. J. Antimicrob. Agents 2010, 35, 126–130. [Google Scholar] [CrossRef]
  47. Sanchez, M.B.; Martinez, J.L. The efflux pump SmeDEF contributes to trimethoprim-sulfamethoxazole resistance in Stenotrophomonas maltophilia. Antimicrob. Agents Chemother. 2015, 59, 4347–4348. [Google Scholar] [CrossRef]
  48. Ramos-Hegazy, L.; Chakravarty, S.; Anderson, G.G. Phosphoglycerate mutase affects Stenotrophomonas maltophilia attachment to biotic and abiotic surfaces. Microbes Infect. 2020, 22, 60–64. [Google Scholar] [CrossRef]
  49. Isom, C.M.; Fort, B.; Anderson, G.G. Evaluating Metabolic Pathways and Biofilm Formation in Stenotrophomonas maltophilia. J. Bacteriol. 2022, 204, e0039821. [Google Scholar] [CrossRef] [PubMed]
  50. Adamek, M.; Linke, B.; Schwartz, T. Virulence genes in clinical and environmental Stenotrophomas maltophilia isolates: A genome sequencing and gene expression approach. Microb. Pathog. 2014, 67–68, 20–30. [Google Scholar] [CrossRef]
  51. Kalidasan, V.; Neela, V.K. Twitching motility of Stenotrophomonas maltophilia under iron limitation: In-silico, phenotypic and proteomic approaches. Virulence 2020, 11, 104–112. [Google Scholar] [CrossRef]
  52. Strateva, T.; Trifonova, A.; Stratev, A.; Peykov, S. Genotypic and phenotypic insights into virulence factors of nosocomial Stenotrophomonas maltophilia isolates collected in Bulgaria (2011–2022). Acta Microbiol. Immunol. Hung. 2023, 70, 220–230. [Google Scholar] [CrossRef]
  53. Sameni, F.; Hajikhani, B.; Hashemi, A.; Owlia, P.; Niakan, M.; Dadashi, M. The Relationship between the Biofilm Genes and Antibiotic Resistance in Stenotrophomonas maltophilia. Int. J. Microbiol. 2023, 2023, 8873948. [Google Scholar] [CrossRef]
  54. Shadvar, N.; Yousefi, F.; Barazesh, A.; Tajbakhsh, S. Investigation of virulence factors and genes associated with biofilm and protease in Stenotrophomonas maltophilia isolates in Bushehr, Iran. Iran. J. Microbiol. 2025, 17, 559–568. [Google Scholar] [CrossRef]
  55. Fluit, A.C.; Bayjanov, J.R.; Aguilar, M.D.; Canton, R.; Elborn, S.; Tunney, M.M.; Scharringa, J.; Benaissa-Trouw, B.J.; Ekkelenkamp, M.B. Taxonomic position, antibiotic resistance and virulence factor production by Stenotrophomonas isolates from patients with cystic fibrosis and other chronic respiratory infections. BMC Microbiol. 2022, 22, 129. [Google Scholar] [CrossRef]
  56. Zhang, M.; Li, L.; Pan, H.; Zhou, T. The complete genome sequence of a bile-isolated Stenotrophomonas maltophilia ZT1. Gut Pathog. 2021, 13, 64. [Google Scholar] [CrossRef] [PubMed]
  57. Saleh, R.O.; Hussen, B.M.; Mubarak, S.M.; Mostafavi, S.K.S. High diversity of virulent and multidrug-resistant Stenotrophomonas maltophilia in Iraq. Gene Rep. 2021, 23, 101124. [Google Scholar] [CrossRef]
  58. Huang, H.H.; Lin, Y.T.; Chen, P.Y.; Li, L.H.; Ning, H.C.; Yang, T.C. ClpA and HtpX Proteases Are Involved in Intrinsic Aminoglycoside Resistance of Stenotrophomonas maltophilia and Are Potential Aminoglycoside Adjuvant Targets. Antimicrob. Agents Chemother. 2018, 62. [Google Scholar] [CrossRef] [PubMed]
  59. Li, L.H.; Shih, Y.L.; Huang, J.Y.; Wu, C.J.; Huang, Y.W.; Huang, H.H.; Tsai, Y.C.; Yang, T.C. Protection from hydrogen peroxide stress relies mainly on AhpCF and KatA2 in Stenotrophomonas maltophilia. J. Biomed. Sci. 2020, 27, 37. [Google Scholar] [CrossRef] [PubMed]
  60. Crossman, L.C.; Gould, V.C.; Dow, J.M.; Vernikos, G.S.; Okazaki, A.; Sebaihia, M.; Saunders, D.; Arrowsmith, C.; Carver, T.; Peters, N.; et al. The complete genome, comparative and functional analysis of Stenotrophomonas maltophilia reveals an organism heavily shielded by drug resistance determinants. Genome Biol. 2008, 9, R74. [Google Scholar] [CrossRef]
  61. Huang, T.P.; Somers, E.B.; Wong, A.C. Differential biofilm formation and motility associated with lipopolysaccharide/exopolysaccharide-coupled biosynthetic genes in Stenotrophomonas maltophilia. J. Bacteriol. 2006, 188, 3116–3120. [Google Scholar] [CrossRef]
  62. McKay, G.A.; Woods, D.E.; MacDonald, K.L.; Poole, K. Role of phosphoglucomutase of Stenotrophomonas maltophilia in lipopolysaccharide biosynthesis, virulence, and antibiotic resistance. Infect. Immun. 2003, 71, 3068–3075. [Google Scholar] [CrossRef]
  63. Zhuo, C.; Zhao, Q.Y.; Xiao, S.N. The impact of spgM, rpfF, rmlA gene distribution on biofilm formation in Stenotrophomonas maltophilia. PLoS ONE 2014, 9, e108409. [Google Scholar] [CrossRef]
  64. Anjum, A.; Mahtab, Z.; Roy, S.; Tabassum, J.; Jabeen, I.; Islam, S.; Shuvo, S.R. Genome-wide comparative and taxonomic characterization of prophages in Stenotrophomonas maltophilia. Arch. Microbiol. 2026, 208, 296. [Google Scholar] [CrossRef]
  65. Boncompagni, S.R.; Riccobono, E.; Cusi, M.G.; Di Pilato, V.; Rossolini, G.M. Evidence of dissemination of a clc-type integrative and conjugative element to Stenotrophomonas maltophilia, mediating acquisition of sul1 and other resistance determinants. Antimicrob. Agents Chemother. 2025, 69, e0155424. [Google Scholar] [CrossRef]
  66. Tokuda, M.; Shintani, M. Microbial evolution through horizontal gene transfer by mobile genetic elements. Microb. Biotechnol. 2024, 17, e14408. [Google Scholar] [CrossRef]
  67. Rodrigues, L.S.; Passarelli-Araujo, H.; Conte, D.; Vasconscelos, T.M.; Krul, D.; Uessugui, G.; Andrade, B.N.D.; Siqueira, A.C.; Medeiros Dos Santos, E.; Ricieri, M.C.; et al. Genetic Diversity of Stenotrophomonas spp. and Its Impact on Diagnosis and Treatment of Pediatric Infections. Microb. Drug Resist. 2025, 31, 241–249. [Google Scholar] [CrossRef]
  68. Sakr, C.; Danjean, M.; Darty-Mercier, M.; Cizeau, F.; Ducellier, D.; Fourreau, F.; Romano-Bertrand, S.; Royer, G.; Woerther, P.L.; Decousser, J.W. Transmission pathways and genogroup contribution in Stenotrophomonas maltophilia dissemination: Experience from a French university hospital. J. Hosp. Infect. 2026, 168, 134–143. [Google Scholar] [CrossRef]
  69. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef]
  70. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef]
  71. Jolley, K.A.; Bray, J.E.; Maiden, M.C.J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 2018, 3, 124. [Google Scholar] [CrossRef]
  72. Johansson, M.H.K.; Bortolaia, V.; Tansirichaiya, S.; Aarestrup, F.M.; Roberts, A.P.; Petersen, T.N. Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder. J. Antimicrob. Chemother. 2021, 76, 101–109. [Google Scholar] [CrossRef]
  73. Bortolaia, V.; Kaas, R.S.; Ruppe, E.; Roberts, M.C.; Schwarz, S.; Cattoir, V.; Philippon, A.; Allesoe, R.L.; Rebelo, A.R.; Florensa, A.F.; et al. ResFinder 4.0 for predictions of phenotypes from genotypes. J. Antimicrob. Chemother. 2020, 75, 3491–3500. [Google Scholar] [CrossRef]
  74. Alcock, B.P.; Huynh, W.; Chalil, R.; Smith, K.W.; Raphenya, A.R.; Wlodarski, M.A.; Edalatmand, A.; Petkau, A.; Syed, S.A.; Tsang, K.K.; et al. CARD 2023: Expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 2023, 51, D690–D699. [Google Scholar] [CrossRef] [PubMed]
  75. Altschul, S.F.; Madden, T.L.; Schaffer, A.A.; Zhang, J.; Zhang, Z.; Miller, W.; Lipman, D.J. Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Res. 1997, 25, 3389–3402. [Google Scholar] [CrossRef] [PubMed]
  76. Schaffer, A.A.; Aravind, L.; Madden, T.L.; Shavirin, S.; Spouge, J.L.; Wolf, Y.I.; Koonin, E.V.; Altschul, S.F. Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements. Nucleic Acids Res. 2001, 29, 2994–3005. [Google Scholar] [CrossRef]
  77. Consortium, T.U. UniProt: The Universal Protein Knowledgebase in 2025. Nucleic Acids Res. 2025, 53, D609–D617. [Google Scholar] [CrossRef]
  78. Kaas, R.S.; Leekitcharoenphon, P.; Aarestrup, F.M.; Lund, O. Solving the problem of comparing whole bacterial genomes across different sequencing platforms. PLoS ONE 2014, 9, e104984. [Google Scholar] [CrossRef]
  79. Letunic, I.; Bork, P. Interactive Tree of Life (iTOL) v6: Recent updates to the phylogenetic tree display and annotation tool. Nucleic Acids Res. 2024, 52, W78–W82. [Google Scholar] [CrossRef]
  80. Hasman, H.; Saputra, D.; Sicheritz-Ponten, T.; Lund, O.; Svendsen, C.A.; Frimodt-Moller, N.; Aarestrup, F.M. Rapid whole-genome sequencing for detection and characterization of microorganisms directly from clinical samples. J. Clin. Microbiol. 2014, 52, 139–146. [Google Scholar] [CrossRef]
  81. Larsen, M.V.; Cosentino, S.; Lukjancenko, O.; Saputra, D.; Rasmussen, S.; Hasman, H.; Sicheritz-Ponten, T.; Aarestrup, F.M.; Ussery, D.W.; Lund, O. Benchmarking of methods for genomic taxonomy. J. Clin. Microbiol. 2014, 52, 1529–1539. [Google Scholar] [CrossRef]
  82. Clausen, P.; Aarestrup, F.M.; Lund, O. Rapid and precise alignment of raw reads against redundant databases with KMA. BMC Bioinform. 2018, 19, 307. [Google Scholar] [CrossRef] [PubMed]
  83. Federhen, S.; Rossello-Mora, R.; Klenk, H.-P.; Tindall, B.J.; Konstantinidis, K.T.; Whitman, W.B.; Brown, D.; Labeda, D.; Ussery, D.; Garrity, G.M. Meeting report: GenBank microbial genomic taxonomy workshop (12–13 May, 2015). Stand. Genom. Sci. 2016, 11, 15. [Google Scholar] [CrossRef]
  84. Ciufo, S.; Kannan, S.; Sharma, S.; Badretdin, A.; Clark, K.; Turner, S.; Brover, S.; Schoch, C.L.; Kimchi, A.; DiCuccio, M. Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI. Int. J. Syst. Evol. Microbiol. 2018, 68, 2386–2392. [Google Scholar] [CrossRef]
Figure 1. Phylogenetic tree of Smc clinical isolates (Om-AH-Sm1-21). Types of samples, ST, novel STs, identification, and antibiotic susceptibility patterns of the isolates are indicated with colored annotation tracks.
Figure 1. Phylogenetic tree of Smc clinical isolates (Om-AH-Sm1-21). Types of samples, ST, novel STs, identification, and antibiotic susceptibility patterns of the isolates are indicated with colored annotation tracks.
Antibiotics 15 00600 g001
Figure 2. Heatmap showing the distribution of antibiotic resistance genes among Smc clinical isolates. The heatmap of antibiotic resistance genes was grouped into efflux pump-associated genes (smeD, smeR, and smeS), sulfonamide resistance gene (sul1), β-lactam resistance genes (blaOXA-2 and blaL1), and aminoglycoside resistance genes (aac(6′)-Iak, aac(6′)-Iap, aac(6′)-Ib3, aac(6′)-Iz, aph(9)-Ic, and aph(3′)-IIc).
Figure 2. Heatmap showing the distribution of antibiotic resistance genes among Smc clinical isolates. The heatmap of antibiotic resistance genes was grouped into efflux pump-associated genes (smeD, smeR, and smeS), sulfonamide resistance gene (sul1), β-lactam resistance genes (blaOXA-2 and blaL1), and aminoglycoside resistance genes (aac(6′)-Iak, aac(6′)-Iap, aac(6′)-Ib3, aac(6′)-Iz, aph(9)-Ic, and aph(3′)-IIc).
Antibiotics 15 00600 g002
Table 1. Characteristics of the studied Smc isolates (n = 20).
Table 1. Characteristics of the studied Smc isolates (n = 20).
IsolatesType of SampleWardGenderAge
OM-AH-Sm1Tracheal AspirateICUM73 years
OM-AH-Sm2 *Tracheal AspiratePICU F<1 year
OM-AH-Sm3 **Wound SwabPICU F<1 year
OM-AH-Sm5Central lineFemale medicalF32 years
OM-AH-Sm6Tracheal AspirateHigh dependencyF45 years
OM-AH-Sm7Tracheal AspiratePICUM<1 year
OM-AH-Sm8SputumHigh dependency (Pediatric)M13 years
OM-AH-Sm9SputumHematologyF35 years
OM-AH-Sm10SputumHigh dependencyM59 years
OM-AH-Sm11Mid-stream urineSurgicalF40 years
OM-AH-Sm12SputumPediatricM10 years
OM-AH-Sm13SputumNICUF<1 year
OM-AH-Sm14Wound SwabICUM68 years
OM-AH-Sm15SputumFemale medicalF85 years
OM-AH-Sm16Tracheal aspirateICUM40 years
OM-AH-Sm17Bronchoalveolar lavagePediatric hematoncologyM<1 year
OM-AH-Sm18Mid-stream urineHematologyM71 years
OM-AH-Sm19Tracheal aspiratePICUM<1 year
OM-AH-Sm20SputumGeneral pediatricF1 year
OM-AH-Sm21Tracheal aspirateICUF63 years
ICU: Intensive care unit; PICU: Pediatric Intensive care unit; NICU: Neonatal Intensive care unit. * A total of 21 consecutive clinical isolates were collected, sequenced, and deposited in the NCBI database. To prevent patient-repetition bias, this dataset was deduplicated to 20 unique isolates for downstream demographic and phenotypic susceptibility profiling. OM-AH-Sm4 was excluded from downstream patient demographic profiling and phenotypic susceptibility metrics because it is an isolate from a sputum sample collected on Day 10 from a patient already represented by a Day 1 tracheal aspirate sample (OM-AH-Sm2). ** Isolate (OM-AH-Sm3) was recovered from a distinct sample type (wound swab) from the same patient (who provided OM-AH-Sm2); it remains in the analysis as it represents a distinct clinical episode.
Table 2. MIC values for CL and TLC using E-test for the Smc isolates (n = 20).
Table 2. MIC values for CL and TLC using E-test for the Smc isolates (n = 20).
CL (MIC µg/mL)S/I/R 1TLC (MIC µg/mL)S/I/R 1
Om-AH-Sm12S32I
Om-AH-Sm2 *2S1S
Om-AH-Sm38S>256R
Om-AH-Sm512I24I
Om-AH-Sm68S12S
Om-AH-Sm712I48I
Om-AH-Sm86S3S
Om-AH-Sm98S>256R
Om-AH-Sm106S3S
Om-AH-Sm114S32I
Om-AH-Sm1216I24I
Om-AH-Sm138S48I
Om-AH-Sm1416I>256R
Om-AH-Sm152S16S
Om-AH-Sm164S1.5S
Om-AH-Sm170.75S48I
Om-AH-Sm186S24I
Om-AH-Sm191.2S48I
Om-AH-Sm204S6S
Om-AH-Sm212S2S
1 S/I/R were interpreted according to CLSI 2025 [20]. * OM-AH-Sm4, (collected on Day 10 tracheal aspirate, which was excluded from population percentages) exhibited the following distinct MIC values: CL, 2 µg/mL (S); TLC, 1 µg/mL (S).
Table 3. Distribution of different alleles, including the newly introduced alleles and the new STs, among the 21 isolates. New alleles and STs are shown in bold.
Table 3. Distribution of different alleles, including the newly introduced alleles and the new STs, among the 21 isolates. New alleles and STs are shown in bold.
IsolateAllelesSequence
Types
atpDgapAguaAmutMnuoDppsArecA
Om-AH-Sm134247722731
Om-AH-Sm21418468705878
Om-AH-Sm31339391121672143221443
Om-AH-Sm41418468705878
Om-AH-Sm51038991273722391351445
Om-AH-Sm613223805416891441981446
Om-AH-Sm7156891318544263081447
Om-AH-Sm84228257061138
Om-AH-Sm978136914306724271351448
Om-AH-Sm102953949152281734283741449
Om-AH-Sm11727748616671429671450
Om-AH-Sm1295779166071852021451
Om-AH-Sm13727745886172852021452
Om-AH-Sm1429617191722772251791453
Om-AH-Sm152134214457369128293
Om-AH-Sm161477281964
Om-AH-Sm17432596928
Om-AH-Sm1882250434187662831781454
Om-AH-Sm1933732471171417
Om-AH-Sm20163959188869375721455
Om-AH-Sm211418468705878
Table 4. Distribution of mobile genetic elements (MGEs) among the Smc isolates.
Table 4. Distribution of mobile genetic elements (MGEs) among the Smc isolates.
IsolateTotal MGE CopiesNo. of Insertion SequencesNo. of Composite TransposonsNo. of Unit TransposonsDetected MGEsFamily
Om-AH-Sm13300ISStma1,
ISStma6,
ISStma7
IS481
IS110
IS110
Om-AH-Sm22200ISStma6,
ISStma7
IS110
IS110
Om-AH-Sm32200ISStma7,
ISStma12
IS110
IS481
Om-AH-Sm43300ISStma1,
ISStma6,
ISStma7
IS481
IS110
IS110
Om-AH-Sm51100ISStma2IS3
Om-AH-Sm60000--
Om-AH-Sm70000--
Om-AH-Sm84400ISStma1,
ISStma6,
ISStma7,
ISStma12
IS481
IS110
IS110
IS481
Om-AH-Sm90000--
Om-AH-Sm100000--
Om-AH-Sm112101ISStma2,
Tn501
IS3
Tn3
Om-AH-Sm121100ISStma2IS3
Om-AH-Sm130000--
Om-AH-Sm141100ISStma4IS110
Om-AH-Sm151100ISStma6IS110
Om-AH-Sm161100ISStma1IS481
Om-AH-Sm171100ISStma6IS110
Om-AH-Sm187520ISStma6 *, cn_13529_ISStma6, cn_16307_ISStma6IS110
Om-AH-Sm193300ISStma6
ISStma7
ISStma14
IS110
IS110
IS3
Om-AH-Sm205500IS6100/
IS6100R/IS6100L
ISStma2 **
ISPa36

IS6
IS3
IS21
Om-AH-Sm213300ISStma1
ISStma6
ISStma7
IS481
IS110
IS110
Total403721
* The frequency is 5; ** the frequency is 3.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

ElBaradei, A.; Al-Bimani, A.; Al-Ubaidani, S.A.H.; Al-Hinai, A.; Al-Lawati, Z.J.; Al-Hattali, H. Stenotrophomonas maltophilia Complex: Genomic Characterization, Antimicrobial Resistance and First Report of S. muris from Oman. Antibiotics 2026, 15, 600. https://doi.org/10.3390/antibiotics15060600

AMA Style

ElBaradei A, Al-Bimani A, Al-Ubaidani SAH, Al-Hinai A, Al-Lawati ZJ, Al-Hattali H. Stenotrophomonas maltophilia Complex: Genomic Characterization, Antimicrobial Resistance and First Report of S. muris from Oman. Antibiotics. 2026; 15(6):600. https://doi.org/10.3390/antibiotics15060600

Chicago/Turabian Style

ElBaradei, Amira, Atika Al-Bimani, Suad A. H. Al-Ubaidani, Amal Al-Hinai, Zainab J. Al-Lawati, and Hafidha Al-Hattali. 2026. "Stenotrophomonas maltophilia Complex: Genomic Characterization, Antimicrobial Resistance and First Report of S. muris from Oman" Antibiotics 15, no. 6: 600. https://doi.org/10.3390/antibiotics15060600

APA Style

ElBaradei, A., Al-Bimani, A., Al-Ubaidani, S. A. H., Al-Hinai, A., Al-Lawati, Z. J., & Al-Hattali, H. (2026). Stenotrophomonas maltophilia Complex: Genomic Characterization, Antimicrobial Resistance and First Report of S. muris from Oman. Antibiotics, 15(6), 600. https://doi.org/10.3390/antibiotics15060600

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop