Next Article in Journal
Serotype Distribution, Virulence Determinants and Antimicrobial Susceptibility of Streptococcus agalactiae Isolated from Young Infants
Previous Article in Journal
Distribution of Theileria orientalis in Virginia Market Cattle, 2018–2020
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Relationship between Ciprofloxacin Resistance and Genotypic Changes in S. aureus Ocular Isolates

School of Optometry and Vision Sciences, University of New South Wales, Sydney, NSW 2041, Australia
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(11), 1354; https://doi.org/10.3390/pathogens11111354
Submission received: 15 September 2022 / Revised: 26 October 2022 / Accepted: 10 November 2022 / Published: 15 November 2022

Abstract

:
Staphylococcus aureus (S. aureus) is a frequent cause of eye infections with some isolates exhibiting increased antimicrobial resistance to commonly prescribed antibiotics. The increasing resistance of ocular S. aureus to ciprofloxacin is a serious concern as it is a commonly used as a first line antibiotic to treat S. aureus keratitis. This study aimed to analyse genetic mutations in the genomes of 25 S. aureus isolates from infections or non-infectious ocular conditions from the USA and Australia and their relationship to ciprofloxacin resistance. Overall, 14/25 isolates were phenotypically resistant to ciprofloxacin. All isolates were analyzed for mutations in their quinolone resistance-determining regions (QRDRs) and efflux pump genes. Of the fourteen resistant isolates, 9/14 had ciprofloxacin resistance mutations within their QRDRs, at codons 80 or 84 within the parC subunit and codon 84 within the gyrA subunit of DNA gyrase. The highest resistance (MIC = 2560 μg/mL) was associated with two SNPs in both gyrA and parC. Other resistant isolates (3/14) had mutations within norB. Mutations in genes of other efflux pumps and their regulator (norA, norC, mepA, mdeA, sepA, sdrM, mepR, arlR, and arlS) or the DNA mismatch repair (MMR) system (mutL and mutS) were not associated with increased resistance to ciprofloxacin. The functional mutations associated with ciprofloxacin resistance in QRDRs (gyrA and parC) and norB suggests that these are the most common reasons for ciprofloxacin resistance in ocular isolates. Novel SNPs of gyrA Glu-88-Leu, Asn-860-Thr and Thr-845-Ala and IIe-855-Met, identified in this study, need further gene knock out/in studies to better understand their effect on ciprofloxacin resistance.

1. Introduction

Staphylococcus aureus (S. aureus) is a highly adaptable opportunistic pathogen renowned for its ability to evade the immune system and cause a variety of infections [1]. Approximately 30% of humans are colonized with S. aureus [2]. It can cause a range of ocular diseases in humans, including infectious conjunctivitis, sight-threatening microbial keratitis (MK) and non-infectious corneal infiltrative events (niCIE) [3,4,5,6].
S. aureus is naturally resistant to many antimicrobials and can acquire resistance through horizontal gene transfer or mutations in chromosomal genes [7]. Increasing antimicrobial resistance of S. aureus has been identified as a public health threat by the World Health Organization [8]. Eye infections with multidrug resistant S. aureus are difficult to treat [9]. Fluoroquinolones are broad spectrum and widely prescribed antibiotics used to treat staphylococcal ocular infections [10]. Ciprofloxacin is commonly prescribed as a monotherapy for ocular infections [11]. However, increased resistance of fluoroquinolones in S. aureus has been reported [7,12,13,14], possibly due to their excessive use [15]. Whilst ocular microbial keratitis isolates from Australia were reported to be mostly (93–100%) susceptible to ciprofloxacin [16,17,18,19], a surveillance study from USA found that 36% of the ocular S. aureus isolates were resistant to ciprofloxacin [20]. Previous phenotypic data of the isolates used in the current study showed that some strains were resistant to ciprofloxacin [21].
The mechanisms of fluoroquinolone resistance in S. aureus from non-ocular infections have been previously studied and the most common mechanism of fluoroquinolone resistance is due to mutations in the genes that encode primary and secondary target sites of the fluoroquinolones in topoisomerase IV (parC/parE) and DNA gyrase (gyrA/gyrB) [22,23] and the efflux of the antibiotics from the cells [24,25]. Over expression of the genes norA and norB that encode for efflux pumps can reduce susceptibility to fluoroquinolones [25,26,27]. Another multidrug efflux pump, norC, when overexpressed can cause low-level fluoroquinolone resistance [28]. The expression of norA, norB and norC is regulated by mgrA [29], which therefore plays a role in modulating resistance to fluoroquinolones [27,28,30]. Other efflux pumps encoded by mepA [31,32], mdeA [33,34], sepA [35], sdrM [36], and mepR [37], can also confer resistance to fluoroquinolones. The two-component regulatory system arlS/arlR, which modifies the expression of norA, can mediate resistance to fluoroquinolones [38].
Topoisomerase IV is the primary target of fluoroquinolones in S. aureus, and mutation in parC is often the first step in the resistance to most fluoroquinolones [39,40,41]. Resistant mutants have changes to the quinolone resistance-determining regions (QRDRs) located in A and C subunits of topoisomerase IV and DNA gyrase, encoded by parC and gyrA, respectively. Combinations of single point mutations within gyrA such as Glu-88-Gly plus Ser-84-Leu (MIC = 200 μg/mL) are associated with higher ciprofloxacin MICs than single point mutations (e.g., Glu-88-Gly MIC = 12.5 μg/mL) [42]. Similarly, two combinations of single point mutations within parC, Glu-84-Val or Ala-48-Thr in combination with Ser-80-Phe, have been associated with higher ciprofloxacin MICs (range 64–256) than only the single point Ser-80-Phe mutation (range 8–128) [43]. There is a stepwise emergence of ciprofloxacin resistance in S. aureus, which first involves parC mutations conferring low-level resistance, followed by gyrA mutations leading to higher level resistance (range 64–256) [40,44].
The frequency of mutation is important to consider in fluoroquinolone resistant S. aureus isolates. Mutation rates are higher in the strains that carry mutations in the DNA mismatch repair (MMR) system and increased mutations in the MMR system can lead to high-levels of fluoroquinolones resistance [45,46,47,48]. The DNA mismatch repair system in S. aureus is based on MutS-MutL and functions to correct errors and preserve the integrity of the genome [49]. Normally, mismatches that occur during DNA replication are repaired by this mismatch repair system, but certain mutations in mutS and mutL can lead to the rapid accumulation of mutations in newly synthesized DNA strands [46]. Mutations in the MMR system can lead to the development of hypermutations in isolates. Strong mutators have defects in their MMR system with mutations predominantly in mutS [50]. For S. aureus, little is known about the genetic basis of hypermutability. However, inactivation of mutS in S. aureus led to the hypermutator phenotype [51] and hypermutable S. aureus might exist in naturally occurring populations [52,53]. A study detected a high proportion of hypermutable S. aureus strains isolated from cystic fibrosis (CF) patients [48]. In many cases, hypermutability has been related to defects in the mutS and mutL of the MMR system [54]. Gram positive bacteria have an MMR system that is functionally equivalent to that of E. coli, although the mutH component of MMR has not been found in S. aureus. Mutations in mutS and mutL reduce the ability of the bacterium to repair DNA lesions [55] and so may be associated with increased numbers of SNPs or other genetic changes.
The current study aimed to examine the relationship between the phenotype of ciprofloxacin resistance and mutations in fluoroquinolone resistance and MMR genes in S. aureus ocular isolates (including those from infectious conjunctivitis, sight-threatening microbial keratitis (MK) and non-infectious corneal infiltrative events, niCIE) from the USA and Australia.

2. Materials and Methods

Twenty-five S. aureus ocular isolates, 19 from infections (MK or conjunctivitis) and six isolates from niCIEs were examined (Table 1). These isolates were selected from a larger collection of strains based on their published susceptibility to ciprofloxacin and possession of virulence [56] and acquired resistance genes [57].
Susceptibility of S. aureus isolates to ciprofloxacin (Sigma-Aldrich, Inc., St. Louis, MO, USA) had been investigated in a previous study using the broth microdilution method following the protocol of the Clinical and Laboratory Standard Institute [58]. The lowest concentration of an antibiotic in which no noticeable growth (turbidity) observed was taken as the average minimum inhibitory concentration (MIC) from three replicates and the break point was established according to the published standards.
Bacteria were revived from frozen stock in tryptone soya broth (TSB; Oxoid Ltd., Basingstoke, UK). Bacterial DNA from each S. aureus strain was extracted using QIAGEN DNeasy blood and tissue extraction kit (Qiagen, Hilden, Germany) as per the manufacturer’s instructions. The extracted DNA was quantified and its purity-checked using Nanodrop (NanoDrop Technologies, Wilmington, DE, USA), Qubit fluorometer (Life Technologies, Carlsbad, CA, USA) and 1% agarose gel electrophoresis. The extracted DNA was dried for transport to the sequencing facility at Singapore Centre for Environmental Life Sciences Engineering, Singapore. The Nextera XT DNA library preparation kit (Illumina, San Diego, CA, USA) was used to prepare paired-end libraries. All the libraries were multiplexed on one MiSeq run.
The quality of raw reads was analysed using online tool FastQC version 0.117 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc, accessed on 9 July 2021). Trimmomatic version 0.38 (http://www.usadellab.org/cms/?page=trimmomatic, accessed on 9 July 2021) was used for trimming the adapters from the reads with quality and length filtering (SLIDINGWINDOW:4: 15 MINLEN:36) [59]. The reads were de novo assembled using Spades v3.15.0 with program’s default setting [60] and the standard S. aureus strain NCTC 8325 was re-assembled using Spades to avoid assembly introduced errors. Genomes were annotated using Prokka v1.12 (https://github.com/tseemann/prokka, created by Torsten Seemann, Victoria, Melbourne, Australia, accessed on 20 October 2021) with the GeneBank® compliance flag [61]. The genome of S. aureus NCTC 8325 (NC_007795.1) (reference strain in this study) was re-annotated with Prokka to avoid annotation bias. To identify mutations in the QRDRs (gyrA, gyrB, parC and parE), efflux pump genes (norA, norB, norC, mgrA, mepA, mdeA, sepA, sdrM, and mepR) their regulators (arlR and arlS) and MMR genes (mutL and mutS), the genome sequences were analysed using Snippy v4.2 (https://github.com/tseemann/snippy, created by Torsten Seemann, Victoria, Melbourne, Australia, accessed on 21 November 2021) with the program’s default settings and compared with reference genome S. aureus NCTC 8325 (NC_007795.1). The non-synonymous mutations were further assessed for amino acid substitution and the effect on protein function using SIFT [62].

3. Results

3.1. Non-Synonymous Variations in the Genes of the Ocular Isolates

Several types of non-synonymous variations were found in the core genomes of the S. aureus isolates (Supplementary Table S1). These non-synonymous mutations included single nucleotide polymorphisms (SNPs), multi-nucleotide polymorphisms (MNPs), deletions, insertions and complex variations (where more than one change occurred at one specific location compared to the reference strain NCTC 8325). The total variations in the isolates ranged from 847 in SA32 to 44,256 in SA34. There was a median of 17,879 (IQR = 15,853–29,471) variations in genomes of infectious strains and a median of 25,612 (IQR = 39,481–17,435) variations in niCIE strains from Australia. Similarly, there was median of 17,836 (IQR = 2339–18,157) variations in genomes of infectious strains from the USA. Isolate SA34, a ciprofloxacin susceptible strain, had the highest number of variations (44,256) and SNPs (34,517) and isolate SA32, another ciprofloxacin susceptible strain, had the lowest number of variations (847) and SNPs (719). There were no significant differences (Mann Whitney U-test) between any type of variant for any ocular condition or country.

3.2. Genetic Variations in Quinolone-Associated Genes

Phenotypically, 56% (14/25) of isolates were resistant to ciprofloxacin. The Resfinder database was used to find antibiotic resistance genes of S. aureus isolates. The number of non-synonymous SNPs in the quinolone-resistance-determining regions (QRDRs; gyrA, gyrB, parC and parE), and efflux pump genes (norA, norB, norC, mgrA, mepA, mdeA, sepA, sdrM, mepR, arlR and arlS) are shown in Supplementary Table S2. Most of the SNPs were found in norB, with a median of 12 SNPs per strain, followed by mepA with a median of 3 SNPs per strain (Supplementary Table S2). No non-synonymous SNPs were found in norA, norC, mdeA, mepR and arlR. Only one SNP was found in sepA (in resistant strain M43-01), but this was not classified as a functional mutation. Non-functional SNPs were also found in sdrM, two in resistant strain M43-01, one in resistant strain M71-01 (both infectious strains from Australia) and two in susceptible strain SA20 (niCIE), and arlS, giving a median of zero in resistant isolates and one in susceptible isolates (Supplementary Table S2).
The mutations that caused changes in the amino acid sequence (functional mutations; Table 1) were further compared to the previously published ciprofloxacin susceptibility of these isolates. Table 1 only shows those mutations (SNPs) within gyrA, parC, norB and mgrA, which caused changes in amino acid sequences (functional mutations). All other mutations that would be unlikely to have a functional effect on ciprofloxacin susceptibility (as the genetic variation did not result in amino acid changes) were excluded from further analysis.
There were no SNPs that caused functional changes in fluoroquinolone resistant genes in any of the ciprofloxacin susceptible isolates (Table 1). Mutations in gyrA or parC that caused changes in amino acids were found in 64% (9/14) of ciprofloxacin resistant strains with MICs ranging from 32–2560 μg/mL. Strain SA112 (infectious USA strain) that had the highest MIC (2560 μg/mL) was the only strain to have two non-synonymous SNPs that would likely have resulted in functional changes to the proteins in both gyrA and parC (Table 1), as well as a non-synonymous SNP in parC (Asp-796-Asn; Supplementary Table S2) that, whilst not likely to have resulted in a functional change, was only present in this isolate. SA112 (infectious USA strain) also had a non-synonymous SNP in norB (Val-189-Ile) that was unlikely to have had a functional impact on the protein but was shared only by the strains SA111 and SA113 (infectious USA strains) that had the next highest MICs (1280 μg/mL). Strains SA111 and SA113 also had one SNP in each gyrA and parC that would likely have resulted in a functional change in the proteins (Table 1), as well as being the only strains with the SNP Leu-140-Ile in norB, that was predicted to have a functional impact on NorB.
The two infectious strains that had an MIC of 128 μg/mL, SA101 (USA) and M43-01 (Australian), had SNP Ser-84-Leu in gyrA and either Ser-80-Tyr or Ser-80-Phe in parC, but were otherwise divergent in the possession of SNPs in these genes and in norB, mepA, sepA, srdM and arlS (Table 1 and Supplementary Table S2), although most of the SNPs in these genes were not predicted to have a functional impact on the proteins. The three infectious strains with MIC of 64 μg/mL had different SNP profiles (Table 1 and Supplementary Table S2) with SNPs predicted to have functional consequences in gyrA and norB only (SA107, from USA), gyrA and parC only (SA90 from USA) or norB only (M5-01 from Australia). The two infectious strains SA102 and SA103 (from USA) with MIC 32 μg/mL had almost identical SNPs which occurred in only gyrA, parC and norB, with the exception of Phe-521-Tyr or Glu-422-Asp in parC (Table 1 and Supplementary Table S2). This combination of SNPs in gyrA, parC and norB was shared with infectious strain SA101 from USA, with the exception that SA101 did not have a second SNP in parC.
Infectious strain SA114 (USA) with an MIC of 8 μg/mL had only one SNP with a predicted effect on protein function. This occurred in norB Arg-168-Cys (Table 1). There were three strains, M71-01, SA136 (infectious Australian) and SA31 (niCIE), that had MIC 4 μg/mL. These had very different SNP profiles, with only strain SA136 having any SNPs that were predicted to have functional consequences, and these all occurred in norB. SA31 did not contain any SNPs in any gene that did not also occur in ciprofloxacin susceptible isolates.
Mutations in norB gene were commonly found in the ocular S. aureus isolates. Overall, 98 different types of mutations were found in norB, and out of these, 23 caused changes in the amino acid sequence. Seven mutations of norB, Leu-412-Ile, Tyr-289-Phe, Leu-140-Ile, Ile-12-Tyr, Ser-331-Tyr, Ala-186-Tyr, and Agr-168-Cys were only found in 36% (5/14) of ciprofloxacin resistant strains (Table 1), 15 mutations were found in both ciprofloxacin resistant and susceptible isolates and one mutation Ser-407-Ala was found in all 25 isolates.
In the current study, only one ciprofloxacin resistant infectious isolate from USA (SA113) had a functional mutation in mgrA, but this isolate also had mutations in gyrA and parC. As that isolate had the same MIC as another isolate without a mutation is mgrA, its relationship to ciprofloxacin resistance remains uncertain in ocular isolates.

3.3. Mutations in the DNA Mismatch Repair System

This study also examined mutations in the genes involved in the DNA mismatch repair system (MMR). The mutations in the MMR system included SNPs, indels and complex variants. The number of mutations in mutL ranged from 0 to 9 and mutations in mutS ranged from 1 to 11. Details of mutations occurring in amino acid sequences are provided in Supplementary Table S3. The mutations in mutL and mutS which were predicted to have caused changes in the amino acid sequences in ciprofloxacin resistant or susceptible strains are shown in Table 2. These mutations were distributed between the ciprofloxacin resistant or susceptible strains and there was no relationship between possession of any type of mutation and SNPs in mutL or mutS.

4. Discussion

The study investigated non-synonymous mutations in 25 S. aureus isolates from infectious (MK and conjunctivitis) and non-infectious (niCIE) ocular conditions from USA and Australia. Based on previous phenotypic susceptibility studies, it was expected that there would be genetic changes that resulted in resistance to ciprofloxacin, such as mutations in quinolone resistance-determining regions (QRDRs: gyrA, gyrB, parC and parE) or efflux pumps (norA, norB, norC, mgrA, mepA, mdeA, sepA, sdrM, and mepR) and this study aimed to gain further insight into the impact of these mutations on ciprofloxacin MIC. The current study replicated the results of the previous study [21] of the same isolates that showed that resistance to ciprofloxacin was more common in isolates recovered from ocular infections compared to non-infectious corneal infiltrative events.
Two non-synonymous SNPs that would likely have resulted in functional changes to the proteins in both gyrA (Ser-84-Leu, Glu-88-Lys) and parC (Ser-80-Tyr, Glu-84-Lys; Table 1) and a non-synonymous SNP in parC (Asp-796-Asn; Supplementary Table S2) that was not predicted to have resulted in a functional change, were only present in the isolate (SA112; USA infectious strain) with the highest MIC (2560 μg/mL). A previous study on ocular isolates of S. aureus reported that strains containing gyrA Ser-84-Leu plus Glu-88-Lys/Ala with parC Ser-80-Tyr plus Glu-84-Gly (or Ser-80-Tyr alone) had MIC against ciprofloxacin of 256 μg/mL [63]. Most (6/8) non-ocular isolates of S. aureus with gyrA Ser-84-Leu plus Glu-88-Lys/Ala with parC Ser-80-Tyr plus Glu-84-Gly had ciprofloxacin MIC of ≥256 [64]. Therefore, the extremely high MIC for strain 112 (2560 μg/mL) may have been produced by the novel combination of mutations found in the current study in these genes, gyrA Ser-84-Leu plus Glu-88-Leu with parC Ser-80-Tyr plus glu-88-Lys. It is possible that these SNPs in combination with Asp-796-Asn in parC, had a role in the high level of resistance. The USA infectious strains SA111 and SA113 with ciprofloxacin MIC of 1280 μg/mL had a single SNP resulting in presumed functional changes in the gene product of gyrA (Ser-84-Leu) and a SNP in parC (Ser-80-Tyr). The combination of these SNPs has been shown to be associated with MICs of ≥256 μg/mL for ciprofloxacin in other ocular isolates [65] and also non-ocular isolates of S. aureus [65].
Two mutations of gyrA that were predicted to affect the function of the protein, Asn-860-Thr and Thr-845-Ala, in combination with IIe-855-Met, were found in the current study to be associated with strain M43-01 that had a relatively high MIC of 128 μg/mL. These mutations have not been reported previously, and their effect of the proteins function should be studied. Mutations in gyrA (Asn-860-Thr) in combination with norB (Leu-412-IIe and Tyr-289-Phe) may have caused the MIC of 64 μg/mL of strain SA107. However, the only functional mutations in strain M5-01 with an MIC of 64 μg/mL that occurred in norB (IIe-12-Thr, Ser-331-Thr and Ala-186-Thr) were also found in strain SA136 with an MIC of 4 μg/mL, and so these mutations may not have been the only ones to cause the higher MIC in strain M5-01.
Three types of parC mutations (Ser-80-Tyr, Ser-80-Phe, and Ser-80-Tyr in combination with Glu-84-Lys) responsible for quinolone resistance in the current study supports previous findings [44,64,66,67,68]. A previous study demonstrated that mutations in QRDR (parC and gyrA) confer resistance up to a certain level (8 to 32 μg/mL for ciprofloxacin), above which resistance is mainly driven by the efflux of the antibiotic [68]. The higher MIC for the ocular isolates in the current study may be associated with SNP Leu-140-Ile in the efflux pump norB that was only found in two infectious strains (SA112 and SA113). The SNPs in norB that affect its expression are not yet fully evaluated. One study has found that Met-314-Ile in norB may be associated with reduced function [69], but the effects of other SNPs are not yet known. It would be of interest in future studies to determine if strains with 2–4 QRDR in combination with efflux pump gene (norB) mutations have the high MIC values reported here and the effect of novel gyrA mutations Asn-860-Thr and Thr-845-Ala IIe-855-Met on MIC values.
One study also showed that efflux is an important contributor to fluoroquinolone resistance in S. aureus and suggests that it is as a major mechanism in the early stages of resistance development [68]. In the current study, one strain SA114 (infectious strain from Australia) with MIC = 8 μg/mL had mutation in norB (Arg-168-Cys), suggesting that this mutation of norB may have been responsible for resistance to ciprofloxacin. Additionally, two infectious strains, M5-01 and SA136 (from Australia), with an MIC of 64 μg/mL and 4 μg/mL, respectively, had the same mutations in norB (IIe-12-Thr in combination with Ser-331-Thr and Ala-186-Thr). The effect of these functional mutations of norB in ciprofloxacin resistant isolates showing different MIC values is uncertain, and gene knock out/knock in studies might help to better understand the role of mutations in norB and its effect on ciprofloxacin resistance level.
Mutations in mutL were observed in eight S. aureus isolates SA111, SA112, SA113, SA90, SA86, M71-01, SA25, and SA48. Three out of these eight isolates, SA86, SA27 and SA48, were phenotypically ciprofloxacin susceptible isolates and showed no QRDRs or efflux pump mutations associated with ciprofloxacin resistance. However, the other five isolates, SA111, SA112, SA113, SA114 and M71-01, were phenotypically ciprofloxacin resistant isolates, and showed mutations in QRDRs (gyrA and parC), except isolate SA114, which only showed mutation in efflux pump gene norB, and M71-01, which showed no mutations in QRDRs or the efflux pump. Mutations in mutS were observed in four S. aureus isolates SA129, SA27, SA114 and SA31 that suggests that these isolates are hypermutators. While SA129 and SA27 were ciprofloxacin susceptible isolates with no QRDRs and efflux mutations, SA114 and SA31 were ciprofloxacin resistant isolates with mutations in mutS and norB, but no mutations in QRDR. The current findings suggest that there is no relationship between mutations in ciprofloxacin resistance and MMR system and resistance to ciprofloxacin is related primarily to mutations in QRDRs (gyrA and parC), or efflux pump norB. Further in-depth studies are required to understand the influence of the MMR system on genomic changes. Additionally, as SNPs can be a result of poor sequencing quality, it is important to have a good sequencing depth at those positions to identify them as a mutation rather than sequencing error [70].
Two strains (M71-01 and SA31) that had low levels of resistance to ciprofloxacin (4 μg/mL) were not found to possess any SNPs predicted to change any of the functions of the products of the genes tested. This may mean that SNPs had effects on systems such as translation and transcription. Some SNPs might affect binding of transcription factors or translation machinery. These possible effects should be studied in future experiments, such as examining levels of mRNA for the genes and any association with the SNPs.

5. Conclusions

Ciprofloxacin resistant S. aureus tended to have mutations in QRDRs (gyrA and parC), with high-level resistance when both genes were mutated and some limited association with SNPs in the efflux pump norB that may contribute to ciprofloxacin resistance. Overall, these findings have extended our understanding of the relationship between ciprofloxacin resistance and their mutations in S. aureus infectious and non-infectious ocular conditions. These results indicate that antimicrobial stewardship is required when using topical antibiotic eye drops to treat keratitis and conjunctivitis. Further gene knock out/knock in isogeneic mutant studies will help to better understand the effects of novel SNPs on ciprofloxacin resistance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens11111354/s1, Table S1: Frequency of different types of variations in the genes of S. aureus isolates.; Table S2: Genes and sites of their mutations (all functional and non-functional mutations) of S. aureus ocular strains from infections and non-infectious disease group (there were no mutations detected in nor A, norC, mdeA, mepR or arlR); Table S3: Mutations in MMR system of S. aureus ocular strains from infections and non-infectious disease group.

Author Contributions

Conceptualization, M.A., M.W., F.S. and A.K.V.; methodology, M.A., M.W., F.S. and A.K.V.; writing—original draft preparation, M.A.; writing—review and editing, M.W., F.S. and A.K.V.; supervision, M.W., F.S. and A.K.V.; funding acquisition, M.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is contained within the article and available upon request.

Acknowledgments

The authors would like to acknowledge Darlene Miller, Bascom Palmer Institute, Miami (USA) and Monica Lahra, Prince of Wales Hospital Sydney, for providing S. aureus MK strains. The authors would also like to acknowledge Associate Scott Rice and Stephen Summers and genome facility of the Singapore Centre of Life Science Engineering, Nanyang Technological University, Singapore for providing the sequencing. We are also thankful to UNSW high performance computing facility KATANA for providing us with the cluster time for the data analysis.

Conflicts of Interest

The authors declare no conflict of interest.

Nucleotide Accession

The nucleotide sequences are available in the Genebank under the Bio project accession number PRJNA859391, accession numbers; JANHMY000000000, JANHMZ000000000, JANHNA000000000, JANHNB000000000, JANHNC000000000, JANHND000000000, JANHNE000000000, JANHNF000000000, JANHNG000000000, JANHNH000000000, JANHNI000000000, JANHNK000000000, JANHNL000000000, JANHNM000000000, JANHNN000000000, JANHNO000000000, JANHNP000000000, JANHNQ000000000, JANHNR000000000, JANHNS000000000, JANHNT000000000, JANHNU000000000, JANHNV000000000, JANHNW000000000.

References

  1. Lowy, F.D. Staphylococcus aureus infections. N. Engl. J. Med. 1998, 339, 520–532. [Google Scholar] [CrossRef]
  2. Wertheim, H.F.; Melles, D.C.; Vos, M.C.; van Leeuwen, W.; van Belkum, A.; Verbrugh, H.A.; Nouwen, J.L. The role of nasal carriage in Staphylococcus aureus infections. Lancet Infect. Dis. 2005, 5, 751–762. [Google Scholar] [CrossRef]
  3. Azari, A.A.; Barney, N.P. Conjunctivitis: A systematic review of diagnosis and treatment. JAMA 2013, 310, 1721–1729. [Google Scholar] [CrossRef]
  4. Snyder, C. Infiltrative keratitis with contact lens wear—A review. J. Am. Optom. Assoc. 1995, 66, 160–177. [Google Scholar]
  5. Suchecki, J.K.; Ehlers, W.H.; Donshik, P.C. Peripheral corneal infiltrates associated with contact lens wear. CLAO J. 1996, 22, 41–46. [Google Scholar]
  6. Sweeney, D.F.; Jalbert, I.; Covey, M.; Sankaridurg, P.R.; Vajdic, C.; Holden, B.A.; Sharma, S.; Ramachandran, L.; Willcox, M.D.; Rao, G.N. Clinical characterization of corneal infiltrative events observed with soft contact lens wear. Cornea 2003, 22, 435–442. [Google Scholar] [CrossRef]
  7. Lowy, F.D. Antimicrobial resistance: The example of Staphylococcus aureus. J. Clin. Investig. 2003, 111, 1265–1273. [Google Scholar] [CrossRef]
  8. Shrivastava, S.; Shrivastava, P.; Ramasamy, J. World health organization releases global priority list of antibiotic-resistant bacteria to guide research, discovery, and development of new antibioti. J. Med. Soc. 2018, 32, 76–77. [Google Scholar] [CrossRef]
  9. Guo, Y.; Song, G.; Sun, M.; Wang, J.; Wang, Y. Prevalence and Therapies of Antibiotic-Resistance in Staphylococcus aureus. Front. Cell. Infect. Microbiol. 2020, 10, 107. [Google Scholar] [CrossRef] [Green Version]
  10. Smith, A.; Pennefather, P.M.; Kaye, S.B.; Hart, C.A. Fluoroquinolones: Place in ocular therapy. Drugs 2001, 61, 747–761. [Google Scholar] [CrossRef]
  11. Alam, M.; Bastakoti, B. Therapeutic Guidelines: Antibiotics. Aust. Prescr. 2015, 38, 137. [Google Scholar] [CrossRef] [Green Version]
  12. Acar, J.F.; Goldstein, F.W. Trends in bacterial resistance to fluoroquinolones. Clin. Infect. Dis. 1997, 24 (Suppl. S1), S67–S73. [Google Scholar] [CrossRef]
  13. Ball, P. Emergent resistance to ciprofloxacin amongst Pseudomonas aeruginosa and Staphylococcus aureus: Clinical significance and therapeutic approaches. J. Antimicrob. Chemother. 1990, 26 (Suppl. F), 165–179. [Google Scholar] [CrossRef]
  14. Shalit, I.; Berger, S.A.; Gorea, A.; Frimerman, H. Widespread quinolone resistance among methicillin-resistant Staphylococcus aureus isolates in a general hospital. Antimicrob. Agents Chemother. 1989, 33, 593–594. [Google Scholar] [CrossRef] [Green Version]
  15. Werner, N.L.; Hecker, M.T.; Sethi, A.K.; Donskey, C.J. Unnecessary use of fluoroquinolone antibiotics in hospitalized patients. BMC Infect. Dis. 2011, 11, 187. [Google Scholar] [CrossRef] [Green Version]
  16. Leibovitch, I.; Lai, T.F.; Senarath, L.; Hsuan, J.; Selva, D. Infectious keratitis in South Australia: Emerging resistance to cephazolin. Eur. J. Ophthalmol. 2005, 15, 23–26. [Google Scholar] [CrossRef]
  17. Ly, C.N.; Pham, J.N.; Badenoch, P.R.; Bell, S.M.; Hawkins, G.; Rafferty, D.L.; McClellan, K.A. Bacteria commonly isolated from keratitis specimens retain antibiotic susceptibility to fluoroquinolones and gentamicin plus cephalothin. Clin. Exp. Ophthalmol. 2006, 34, 44–50. [Google Scholar] [CrossRef]
  18. Samarawickrama, C.; Chan, E.; Daniell, M. Rising fluoroquinolone resistance rates in corneal isolates: Implications for the wider use of antibiotics within the community. Healthc. Infect. 2015, 20, 128–133. [Google Scholar] [CrossRef]
  19. Watson, S.; Cabrera-Aguas, M.; Khoo, P.; Pratama, R.; Gatus, B.J.; Gulholm, T.; El-Nasser, J.; Lahra, M.M. Keratitis antimicrobial resistance surveillance program, Sydney, Australia: 2016 Annual Report. Clin. Exp. Ophthalmol. 2019, 47, 20–25. [Google Scholar] [CrossRef] [Green Version]
  20. Thomas, R.K.; Melton, R.; Asbell, P.A. Antibiotic resistance among ocular pathogens: Current trends from the ARMOR surveillance study (2009–2016). Clin. Optom. 2019, 11, 15–26. [Google Scholar] [CrossRef] [Green Version]
  21. Afzal, M.; Vijay, A.K.; Stapleton, F.; Willcox, M.D.P. Susceptibility of Ocular Staphylococcus aureus to Antibiotics and Multipurpose Disinfecting Solutions. Antibiotics 2021, 10, 1203. [Google Scholar] [CrossRef]
  22. Yoshida, H.; Bogaki, M.; Nakamura, M.; Nakamura, S. Quinolone resistance-determining region in the DNA gyrase gyrA gene of Escherichia coli. Antimicrob. Agents Chemother. 1990, 34, 1271–1272. [Google Scholar] [CrossRef]
  23. Yoshida, H.; Bogaki, M.; Nakamura, M.; Yamanaka, L.M.; Nakamura, S. Quinolone resistance-determining region in the DNA gyrase gyrB gene of Escherichia coli. Antimicrob. Agents Chemother. 1991, 35, 1647–1650. [Google Scholar] [CrossRef] [Green Version]
  24. Kaatz, G.W.; Seo, S.M. Inducible NorA-mediated multidrug resistance in Staphylococcus aureus. Antimicrob. Agents Chemother. 1995, 39, 2650–2655. [Google Scholar] [CrossRef] [Green Version]
  25. Kaatz, G.W.; Seo, S.M.; Ruble, C.A. Efflux-mediated fluoroquinolone resistance in Staphylococcus aureus. Antimicrob. Agents Chemother. 1993, 37, 1086–1094. [Google Scholar] [CrossRef] [Green Version]
  26. Ding, Y.; Onodera, Y.; Lee, J.C.; Hooper, D.C. NorB, an efflux pump in Staphylococcus aureus strain MW2, contributes to bacterial fitness in abscesses. J. Bacteriol. 2008, 190, 7123–7129. [Google Scholar] [CrossRef] [Green Version]
  27. Truong-Bolduc, Q.C.; Dunman, P.M.; Strahilevitz, J.; Projan, S.J.; Hooper, D.C. MgrA is a multiple regulator of two new efflux pumps in Staphylococcus aureus. J. Bacteriol. 2005, 187, 2395–2405. [Google Scholar] [CrossRef] [Green Version]
  28. Truong-Bolduc, Q.C.; Strahilevitz, J.; Hooper, D.C. NorC, a new efflux pump regulated by MgrA of Staphylococcus aureus. Antimicrob. Agents Chemother. 2006, 50, 1104–1107. [Google Scholar] [CrossRef] [Green Version]
  29. Kaatz, G.W.; Thyagarajan, R.V.; Seo, S.M. Effect of promoter region mutations and mgrA overexpression on transcription of norA, which encodes a Staphylococcus aureus multidrug efflux transporter. Antimicrob. Agents Chemother. 2005, 49, 161–169. [Google Scholar] [CrossRef] [Green Version]
  30. Truong-Bolduc, Q.C.; Zhang, X.; Hooper, D.C. Characterization of NorR protein, a multifunctional regulator of norA expression in Staphylococcus aureus. J. Bacteriol. 2003, 185, 3127–3138. [Google Scholar] [CrossRef] [Green Version]
  31. Kaatz, G.W.; McAleese, F.; Seo, S.M. Multidrug resistance in Staphylococcus aureus due to overexpression of a novel multidrug and toxin extrusion (MATE) transport protein. Antimicrob. Agents Chemother. 2005, 49, 1857–1864. [Google Scholar] [CrossRef] [Green Version]
  32. McAleese, F.; Petersen, P.; Ruzin, A.; Dunman, P.M.; Murphy, E.; Projan, S.J.; Bradford, P.A. A novel MATE family efflux pump contributes to the reduced susceptibility of laboratory-derived Staphylococcus aureus mutants to tigecycline. Antimicrob. Agents Chemother. 2005, 49, 1865–1871. [Google Scholar] [CrossRef]
  33. Huang, J.; O’Toole, P.W.; Shen, W.; Amrine-Madsen, H.; Jiang, X.; Lobo, N.; Palmer, L.M.; Voelker, L.; Fan, F.; Gwynn, M.N.; et al. Novel chromosomally encoded multidrug efflux transporter MdeA in Staphylococcus aureus. Antimicrob. Agents Chemother. 2004, 48, 909–917. [Google Scholar] [CrossRef] [Green Version]
  34. Yamada, Y.; Shiota, S.; Mizushima, T.; Kuroda, T.; Tsuchiya, T. Functional gene cloning and characterization of MdeA, a multidrug efflux pump from Staphylococcus aureus. Biol. Pharm. Bull. 2006, 29, 801–804. [Google Scholar] [CrossRef] [Green Version]
  35. Hassanzadeh, S.; Mashhadi, R.; Yousefi, M.; Askari, E.; Saniei, M.; Pourmand, M.R. Frequency of efflux pump genes mediating ciprofloxacin and antiseptic resistance in methicillin-resistant Staphylococcus aureus isolates. Microb. Pathog. 2017, 111, 71–74. [Google Scholar] [CrossRef]
  36. Yamada, Y.; Hideka, K.; Shiota, S.; Kuroda, T.; Tsuchiya, T. Gene cloning and characterization of SdrM, a chromosomally-encoded multidrug efflux pump, from Staphylococcus aureus. Biol. Pharm. Bull. 2006, 29, 554–556. [Google Scholar] [CrossRef] [Green Version]
  37. Fàbrega, A.; Madurga, S.; Giralt, E.; Vila, J. Mechanism of action of and resistance to quinolones. Microb. Biotechnol. 2009, 2, 40–61. [Google Scholar] [CrossRef] [Green Version]
  38. Fournier, B.; Aras, R.; Hooper, D.C. Expression of the multidrug resistance transporter NorA from Staphylococcus aureus is modified by a two-component regulatory system. J. Bacteriol. 2000, 182, 664–671. [Google Scholar] [CrossRef] [Green Version]
  39. Hooper, D.C. Fluoroquinolone resistance among Gram-positive cocci. Lancet Infect. Dis. 2002, 2, 530–538. [Google Scholar] [CrossRef]
  40. Ng, E.Y.; Trucksis, M.; Hooper, D.C. Quinolone resistance mutations in topoisomerase IV: Relationship to the flqA locus and genetic evidence that topoisomerase IV is the primary target and DNA gyrase is the secondary target of fluoroquinolones in Staphylococcus aureus. Antimicrob. Agents Chemother. 1996, 40, 1881–1888. [Google Scholar] [CrossRef] [Green Version]
  41. Schmitz, F.J.; Higgins, P.G.; Mayer, S.; Fluit, A.C.; Dalhoff, A. Activity of quinolones against gram-positive cocci: Mechanisms of drug action and bacterial resistance. Eur. J. Clin. Microbiol. 2002, 21, 647–659. [Google Scholar] [CrossRef]
  42. Takenouchi, T.; Ishii, C.; Sugawara, M.; Tokue, Y.; Ohya, S. Incidence of various gyrA mutants in 451 Staphylococcus aureus strains isolated in Japan and their susceptibilities to 10 fluoroquinolones. Antimicrob. Agents Chemother. 1995, 39, 1414–1418. [Google Scholar] [CrossRef]
  43. Schmitz, F.J.; Jones, M.E.; Hofmann, B.; Hansen, B.; Scheuring, S.; Lückefahr, M.; Fluit, A.; Verhoef, J.; Hadding, U.; Heinz, H.P.; et al. Characterization of grlA, grlB, gyrA, and gyrB mutations in 116 unrelated isolates of Staphylococcus aureus and effects of mutations on ciprofloxacin MIC. Antimicrob. Agents Chemother. 1998, 42, 1249–1252. [Google Scholar] [CrossRef] [Green Version]
  44. Ferrero, L.; Cameron, B.; Crouzet, J. Analysis of gyrA and grlA mutations in stepwise-selected ciprofloxacin-resistant mutants of Staphylococcus aureus. Antimicrob. Agents Chemother. 1995, 39, 1554–1558. [Google Scholar] [CrossRef] [Green Version]
  45. Blázquez, J. Hypermutation as a factor contributing to the acquisition of antimicrobial resistance. Clin. Infect. Dis. 2003, 37, 1201–1209. [Google Scholar] [CrossRef] [Green Version]
  46. Giraud, A.; Matic, I.; Radman, M.; Fons, M.; Taddei, F. Mutator bacteria as a risk factor in treatment of infectious diseases. Antimicrob. Agents Chemother. 2002, 46, 863–865. [Google Scholar] [CrossRef] [Green Version]
  47. Miller, J.H. Spontaneous mutators in bacteria: Insights into pathways of mutagenesis and repair. Annu. Rev. Microbiol. 1996, 50, 625–643. [Google Scholar] [CrossRef]
  48. Prunier, A.L.; Malbruny, B.; Laurans, M.; Brouard, J.; Duhamel, J.F.; Leclercq, R. High rate of macrolide resistance in Staphylococcus aureus strains from patients with cystic fibrosis reveals high proportions of hypermutable strains. J. Infect. Dis. 2003, 187, 1709–1716. [Google Scholar] [CrossRef] [Green Version]
  49. Modrich, P. Mechanisms and biological effects of mismatch repair. Annu. Rev. Genet. 1991, 25, 229–253. [Google Scholar] [CrossRef]
  50. Chopra, I.; O’Neill, A.J.; Miller, K. The role of mutators in the emergence of antibiotic-resistant bacteria. Drug Resist. Updates 2003, 6, 137–145. [Google Scholar] [CrossRef]
  51. O’Neill, A.J.; Chopra, I. Insertional inactivation of mutS in Staphylococcus aureus reveals potential for elevated mutation frequencies, although the prevalence of mutators in clinical isolates is low. J. Antimicrob. Chemother. 2002, 50, 161–169. [Google Scholar] [CrossRef] [Green Version]
  52. Cuny, C.; Witte, W. In vitro activity of linezolid against staphylococci. Clin. Microbiol. Infect. 2000, 6, 331–333. [Google Scholar] [CrossRef]
  53. Schmitz, F.J.; Fluit, A.C.; Hafner, D.; Beeck, A.; Perdikouli, M.; Boos, M.; Scheuring, S.; Verhoef, J.; Kohrer, K.; Von Eiff, C. Development of resistance to ciprofloxacin, rifampin, and mupirocin in methicillin-susceptible and -resistant Staphylococcus aureus isolates. Antimicrob. Agents Chemother. 2000, 44, 3229–3231. [Google Scholar] [CrossRef] [Green Version]
  54. Hsieh, P. Molecular mechanisms of DNA mismatch repair. Mutat. Res. 2001, 486, 71–87. [Google Scholar] [CrossRef]
  55. Rayssiguier, C.; Thaler, D.S.; Radman, M. The barrier to recombination between Escherichia coli and Salmonella typhimurium is disrupted in mismatch-repair mutants. Nature 1989, 342, 396–401. [Google Scholar] [CrossRef]
  56. Afzal, M.; Vijay, A.K.; Stapleton, F.; Willcox, M. Virulence Genes of Staphylococcus aureus Associated With Keratitis, Conjunctivitis, and Contact Lens-Associated Inflammation. Transl. Vis. Sci. Technol. 2022, 11, 5. [Google Scholar] [CrossRef]
  57. Afzal, M.; Vijay, A.K.; Stapleton, F.; Willcox, M.D.P. Genomics of Staphylococcus aureus Strains Isolated from Infectious and Non-Infectious Ocular Conditions. Antibiotics 2022, 11, 1011. [Google Scholar] [CrossRef]
  58. Weinstein, M.P.; Lewis, J.S. The Clinical and Laboratory Standards Institute Subcommittee on Antimicrobial Susceptibility Testing: 30th ed CLSI supplement M100 Clinical and Labortary Stranadrads Institute. J. Clin. Microbiol. 2020, 58, e01864-19. [Google Scholar] [CrossRef]
  59. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [Green Version]
  60. Nurk, S.; Bankevich, A.; Antipov, D.; Gurevich, A.; Korobeynikov, A.; Lapidus, A.; Prjibelsky, A.; Pyshkin, A.; Sirotkin, A.; Sirotkin, Y.; et al. Assembling Genomes and Mini-Metagenomes from Highly Chimeric Reads; Springer: Berlin/Heidelberg, Germany, 2013; Volume 7821. [Google Scholar]
  61. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics 2014, 30, 2068–2069. [Google Scholar] [CrossRef] [Green Version]
  62. Ng, P.C.; Henikoff, S. Predicting deleterious amino acid substitutions. Genome Res. 2001, 11, 863–874. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Sanfilippo, C.M.; Hesje, C.K.; Haas, W.; Morris, T.W. Topoisomerase mutations that are associated with high-level resistance to earlier fluoroquinolones in Staphylococcus aureus have less effect on the antibacterial activity of besifloxacin. Chemotherapy 2011, 57, 363–371. [Google Scholar] [CrossRef] [PubMed]
  64. Blanche, F.; Cameron, B.; Bernard, F.X.; Maton, L.; Manse, B.; Ferrero, L.; Ratet, N.; Lecoq, C.; Goniot, A.; Bisch, D.; et al. Differential behaviors of Staphylococcus aureus and Escherichia coli type II DNA topoisomerases. Antimicrob. Agents Chemother. 1996, 40, 2714–2720. [Google Scholar] [CrossRef] [Green Version]
  65. de Oliveira, T.L.R.; Cavalcante, F.S.; Chamon, R.C.; Ferreira, R.B.R.; Dos Santos, K.R.N. Genetic mutations in the quinolone resistance-determining region are related to changes in the epidemiological profile of methicillin-resistant Staphylococcus aureus isolates. J. Glob. Antimicrob. Resist. 2019, 19, 236–240. [Google Scholar] [CrossRef] [PubMed]
  66. Ferrero, L.; Cameron, B.; Manse, B.; Lagneaux, D.; Crouzet, J.; Famechon, A.; Blanche, F. Cloning and primary structure of Staphylococcus aureus DNA topoisomerase IV: A primary target of fluoroquinolones. Mol. Microbiol. 1994, 13, 641–653. [Google Scholar] [CrossRef]
  67. Yamagishi, J.; Kojima, T.; Oyamada, Y.; Fujimoto, K.; Hattori, H.; Nakamura, S.; Inoue, M. Alterations in the DNA topoisomerase IV grlA gene responsible for quinolone resistance in Staphylococcus aureus. Antimicrob. Agents Chemother. 1996, 40, 1157–1163. [Google Scholar] [CrossRef] [Green Version]
  68. Costa, S.S.; Junqueira, E.; Palma, C.; Viveiros, M.; Melo-Cristino, J.; Amaral, L.; Couto, I. Resistance to antimicrobials mediated by efflux pumps in Staphylococcus aureus. Antibiotics 2013, 2, 83–99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Hardy, K.; Sunnucks, K.; Gil, H.; Shabir, S.; Trampari, E.; Hawkey, P.; Webber, M. Increased Usage of Antiseptics Is Associated with Reduced Susceptibility in Clinical Isolates of Staphylococcus aureus. mBio 2018, 9, e00894-18. [Google Scholar] [CrossRef] [Green Version]
  70. Smits, T.H.M. The importance of genome sequence quality to microbial comparative genomics. BMC Genom. 2019, 20, 662. [Google Scholar] [CrossRef]
Table 1. MIC range in S. aureus isolates and functional mutations in QRDRs and efflux pump genes.
Table 1. MIC range in S. aureus isolates and functional mutations in QRDRs and efflux pump genes.
StrainOcular ConditionCiprofloxacin SensitivityMIC (μg/mL) [21]gyrAparCnorBmgrA
SA112USA keratitisResistant2560Ser-84-Leu,
Glu-88-Leu
Ser-80-Tyr,
Glu-84-Lys
--
SA111USA keratitis1280Ser-84-LeuSer-80-TyrLeu-140-IIe-
SA113USA keratitis1280Ser-84-LeuSer-80-TyrLeu-140-IIeLeu-64-Pro
SA101USA conjunctivitis128Ser-84-LeuSer-80-Tyr--
M43-01Australia keratitis128Ser-84-Leu,
Thr-845-Ala,
IIe-855-Met
Ser-80-Phe--
SA107USA keratitis64Asn-860-Thr-Leu-412-IIe
Tyr-289-Phe
-
M5-01Australia keratitis64--IIe-12-Thr,
Ser-331-Thr,
Ala-186-Thr
-
SA90USA conjunctivitis64Ser-84-LeuSer-80-Tyr
Glu-84-Lys
--
SA102USA conjunctivitis32Ser-84-LeuSer-80-Phe--
SA103USA conjunctivitis32Ser-84-LeuSer-80-Tyr--
SA114USA keratitis8--Agr-168-Cys-
M71-01Australia keratitis4----
SA136Australia conjunctivitis4--IIe-12-Thr,
Ser-331-Thr,
Ala-186-Thr
-
SA31niCIE4----
SA86USA conjunctivitisSusceptible1
SA34Australia keratitis1
SA129Australia keratitis1
M19-01Australia keratitis1
M28-01Australia keratitis1
SA46Australia conjunctivitis1
SA20niCIE1
SA25niCIE1
SA27niCIE1
SA32niCIE1
SA48niCIE1
SNPs analysis using Staphylococcus aureus NCTC 8325 as a reference strain, using the default parameters of Snippy v4.2, excluding SNPs identified in regions that had arisen by recombination. Quinolone resistance determining regions; QRDRs (gyrA, parC) and efflux pump genes (norB, mgrA).
Table 2. MMR gene mutations that were predicted to have an effect on protein function in ciprofloxacin susceptible and resistant strains.
Table 2. MMR gene mutations that were predicted to have an effect on protein function in ciprofloxacin susceptible and resistant strains.
S. aureus IsolatesCiprofloxacin SensitivityCIP MIC (μg/mL)MMR Genes and Sites of Mutations
mutLmutS
SA112Resistant2560His-347-Tyr-
SA1111280His-347-Tyr-
SA1131280His-347-Tyr-
SA101128--
M43-01128--
SA10764--
M5-0164--
SA9064His-347-Tyr-
SA10232--
SA10332--
SA1148-Gln-531-His
M71-014His-347-Tyr-
SA1364--
SA314-Gln-531-His
SA86Susceptible1His-347-Tyr-
SA341-Ala-172-Val
SA1291-Gln-531-His
M19-011Val-583-IIe-
M28-011Val-583-IIe-
SA461--
SA201--
SA251His-347-Tyr-
SA271-Gln-531-His
SA321--
SA481His-347-Tyr-
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Afzal, M.; Vijay, A.K.; Stapleton, F.; Willcox, M. The Relationship between Ciprofloxacin Resistance and Genotypic Changes in S. aureus Ocular Isolates. Pathogens 2022, 11, 1354. https://doi.org/10.3390/pathogens11111354

AMA Style

Afzal M, Vijay AK, Stapleton F, Willcox M. The Relationship between Ciprofloxacin Resistance and Genotypic Changes in S. aureus Ocular Isolates. Pathogens. 2022; 11(11):1354. https://doi.org/10.3390/pathogens11111354

Chicago/Turabian Style

Afzal, Madeeha, Ajay Kumar Vijay, Fiona Stapleton, and Mark Willcox. 2022. "The Relationship between Ciprofloxacin Resistance and Genotypic Changes in S. aureus Ocular Isolates" Pathogens 11, no. 11: 1354. https://doi.org/10.3390/pathogens11111354

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