Literature DB >> 29403293

Novel single-nucleotide variations associated with vancomycin resistance in vancomycin-intermediate Staphylococcus aureus.

Lee-Chung Lin1, Shih-Cheng Chang1,2, Mao-Cheng Ge1, Tsui-Ping Liu1, Jang-Jih Lu1,2,3.   

Abstract

Prolonged vancomycin usage may cause methicillin-resistant Staphylococcus aureus to become vancomycin-intermediate S. aureus (VISA) and heterogeneous VISA (hVISA). Mechanisms of vancomycin resistance of VISA and hVISA are still unclear. In this study, analyses of nucleotide sequence variations in 30 vancomycin-sensitive S. aureus (VSSA), 41 hVISA and 16 VISA isolates revealed 29 single-nucleotide variations in 12 genes (fmtC, graR, graS, htrA, mecA, pbp2, pbp4, srtA, tcaA, upps, vicK and vraR) that are related to cell wall synthesis or the two-component system. Six of these 29 single-nucleotide variations were novel and resulted in the following amino acid changes: Q692E in FmtC; T278I, P306L and I311T in HtrA; and I63V and K101E in Upps. Since P306L and I311T in HtrA and I63V in Upps were present in the majority (76.7%-86.7%) of VSSA isolates, these three amino acid variations may not be associated with vancomycin resistance. The other three amino acid variations (T278I in HtrA, K101E in Upps and Q692E in FmtC) were present in the majority (87.5%-93.8%) of hVISA and VISA isolates, but only in a small number (22.9%-25.7%) of VSSA isolates, suggesting that they are associated with vancomycin resistance.

Entities:  

Keywords:  MRSA; VISA; VSSA; hVISA

Year:  2018        PMID: 29403293      PMCID: PMC5783010          DOI: 10.2147/IDR.S148335

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Methicillin-resistant Staphylococcus aureus (MRSA) is a leading cause of nosocomial infection.1 Vancomycin is usually used to treat MRSA infections, but high-level vancomycin-resistant S. aureus (VRSA) has emerged mainly due to the acquisition of the vanA operon from Enterococci.2 There are also VRSA isolates with lower levels of vancomycin resistance, including vancomycin-intermediate S. aureus (VISA) and heterogeneous VISA (hVISA).3 The causes for the different levels of vancomycin resistance in MRSA are not completely clear.4,5 Identification of VISA and hVISA is conventionally done by determination of population analysis profile and area under the curve ratio (PAP/AUC). However, PAP/AUC is very labor-intensive and not practical for clinical diagnosis. Transcriptome and proteome analyses of MRSA isolates have revealed a link between nucleotide sequence variations of several genes and vancomycin resistance.6,7 These genes include those of the two-component systems, such as vraRS, graRS or walRK,6,8,9 and those involved in cell wall synthesis, such as upps, fmtC and srtA.9–11 Single-nucleotide variations (SNVs) of genes related to antibiotic resistance have also been described.8,9,12,13 These SNVs may allow differentiation between vancomycin-sensitive S. aureus (VSSA) and VISA. Previous studies on hVISA and VISA strains have revealed 60 genes that may be associated with vancomycin resistance.4,9,10,14–23 We hypothesized that some nucleotide sequence variations in these genes correlate with the difference in vancomycin susceptibility of VSSA and VISA isolates. To test this hypothesis, we investigated the prevalence of SNVs of these 60 genes and found 29 SNVs (in 12 genes) that were more common in hVISA and VISA than in VSSA isolates. Among them, three novel amino acid sequence variations including Q692E in FmtC, T287I in HtrA and K101E in Upps proteins were found to be significantly associated with vancomycin resistance.

Materials and methods

Bacteria strains and growth conditions

In total, 87 MRSA isolates were used in this study, including 72 from Chang Gung Memorial Hospital, 3 from National Tai-wan University Hospital, 8 from Tri-Service General hospital (TSGH) and 2 each from Chi Mei Medical Center and China Medical University Hospital. These isolates were collected from 2009 to 2014. Detailed information of these isolates is presented in Table 1. All isolates were stored at −80°C and grown on tryptic soy agar plates at 37°C for 16 hours for the studies.
Table 1

MRSA strains used in this study

Vancomycin phenotype (number)Sourcea (number)Strain IDsReference
VSSA (30)CGMH (30)43, 46, 49, 64, 827–851This study
hVISA (41)CGMH (34)2, 6, 9, 10, 22, 23, 33, 37, 42, 50, 55, 57, 60, 62, 72, 75, 82, 85, 103, 104, 108, 199, 208, 215, 216, 222, 224, 232, 236, 238, 241, 246, 247, 250This study
TSGH (2)5046, 50471, 2
NTUH (3)9140, 9148, 9095
CMMC (2)2012, 2086
VISA (16)CGMH (8)36, 80, 852–857This study
TSGH (6)188, 204, 205b, 218, 243b, 2571, 3, 4
CMUH (2)2021, 40222

Notes:

All strains were collected from blood cultures at different times.

Whole-genome sequenced strains.

Abbreviations: CGMH, Chang Gung Memorial Hospital; CMMC, Chi Mei Medical Center; CMUH, China Medical University Hospital; hVISA, heterogeneous vancomycin-intermediate Staphylococcus aureus; MRSA, methicillin-resistant Staphylococcus aureus; NTUH, National Taiwan University Hospital; TSGH, Tri-Service General hospital; VISA, vancomycin-intermediate Staphylococcus aureus; VSSA, vancomycin-sensitive Staphylococcus aureus.

Whole-genome sequencing and polymerase chain reaction (PCR)

The whole genome of two VISA isolates (TSGH205 and TSGH243) was sequenced. Genomic DNA of each isolate was isolated and sonicated to generate fragments of 300–500 bp for construction of a DNA library, which was then subjected to Illumina next-generation sequencing. Raw sequence data generated were filtered and assembled for analysis using the CLC Genomics Workbench (QIAGEN, Venlo, the Netherlands). Genes selected for investigation of vancomycin resistance and PCR primers used to amplify these genes are shown in Table 2. PCRs were performed in a buffer containing 10 mM Tris-HCl (pH 8.0), 1.5 mM MgCl2 and 50 mM KCl under the following conditions: 5 minutes at 95°C, followed by 35 cycles of 30 seconds at 95°C for denaturation, 30 seconds at 55°C for primer annealing and 1 minute at 72°C for extension, and 5 minutes at 72°C for final extension. PCR products were verified by sequencing.
Table 2

Primers used in this study

PrimerSequence (5′→3′)
fmtC-F1GGAGATCCGTTAGGTGATGAAA
fmtC-R1TGGTAAATCTAACTCTGGCAACC
graRS-FTATTTTGGCCGATTTATTACTTTA
graSR-RCCTTTAGGCTTTGGCACTTGT
htrA-FGATTCAGACAGCTCGATGCAG
htrA-RGGCCAATACATCATCCAAAAC
mecA-FGTGGAGACGAGCACTAATAACC
mecA-RGAAGTTGTAGCAGGAACACAAATG
pbp2-FGAACTTGACTGGTGGATTTGG
pbp2-RGCCCATCCACACTGACATAG
pbp4-40RTACAGAAGGCATTTCGACG
pbp4-F1AGTATGGACAATCGCAGACC
srtA-FGCAGCATATTTGTTTGCTAAACC
srtA-RCAATGACACGTCGTCATTGG
tcaA-R1TCTTGCGAGCCTTGTTCAAG
tcaA-R-newGCACCTACCAAGCAACCAAT
upps-FTTATGGATGGTAATGGGCGA
upps-RGCGTCTTTGACGTGACTGAT
vicK-FGAGTATGCCAACCGTCAAGA
vicK-RACGATACGAATACGTCCACG
vraSR-F1TCAGGTACACGTATCGAGGT
vraR-R1TTGTCGGTGCTGAAATCAAT

Minimum inhibition concentration (MIC) E-tests

E-test was performed to determine the vancomycin MIC of VSSA, hVISA and VISA isolates. Cells of an overnight culture of each isolate were suspended in 0.9% NaCl solution, adjusted to 0.5 McFarland unit and spread evenly on a Mueller–Hinton agar plate. An E-test strip (bioMérieux, Durham, NC, USA) was placed on the agar plate, which was then incubated at 35°C overnight to determine MIC values.

Population analysis profile/area under the curve

PAP/AUC was performed to identify hVISA and VISA isolates as previously described.24,25 Briefly, serial dilutions of the overnight culture of an isolate were plated on brain heart infusion agar plates containing different concentrations of vancomycin (0, 0.5, 1, 1.5, 2, 3, 4, 6 and 8 μg/mL). After incubation at 35°C for 48 hours, colony-forming units (CFUs) of the isolate were determined and graphed as log10CFU/mL value versus vancomycin concentration to calculate the AUC. Reference strains Mu3 and Mu50 were analyzed in an identical manner to serve as hVISA and VISA controls, respectively. To distinguish VSSA, hVISA and VISA, the ratio (PAP/AUC value) of the AUC of an isolate to the AUC of Mu3 was calculated. The following ratios were used for identification of VSSA, hVISA and VISA populations: VSSA, <0.9; hVISA, 0.9–1.3; VISA, >1.3.

Results

Nucleotide sequence variations in genes related to vancomycin resistance

The 87 MRSA isolates used in this study included 30 VSSA, 41 hVISA and 16 VISA isolates (Table 1). To test the hypothesis that some SNVs in the previously identified 60 genes (Table S1) correlate with the difference in vancomycin susceptibility of VSSA and VISA isolates, the nucleotide sequences of these 60 genes in these MRSA isolates were examined. To simplify the bioinformatics work, this examination was performed in a stepwise manner to gradually narrow down the scope of analysis. Genes with SNVs were first identified, followed by determination of the prevalence of the SNVs in the MRSA isolates, identification of novel SNVs and then correlation of these novel SNVs with vancomycin resistance. For the first step of analysis, the sequences of the 60 genes in two each of VSSA (N315 and JH1) and VISA (TSGH205 and TSGH243) isolates were aligned and compared. These four strains were selected because their entire genome had been sequenced. The two VSSA strains (N315 and JH1) were found to differ in nucleotide sequences in 13 genes, whereas the two VISA strains (TSGH205 and TSGH243) differed in nucleotide sequences in 25 genes, indicating that genes in the VISA isolates are more variable. Most of these sequence variations are SNVs. After excluding SNVs that were common in the two VSSA and two VISA strains, 29 SNVs in the following 12 genes were found in both VISA strains (TSGH205 and TSGH243): fmtC, graR, graS, htrA, mecA, pbp2, pbp4, srtA, tcaA, upps, vraR and vicK (Table 3). These genes have been shown to be related to the two-component system (graR, graS, vicK and vraR), cell membrane synthesis (tcaA), cell wall synthesis (mecA, pbp2, pbp4 and srtA) or vancomycin resistance (htrA, fmtC and upps).10,11
Table 3

Sequence variations in VSSA and VISA strains

Gene IDGene nameAmino acid variation (nucleotide variation)VSSAVSSAVISAVISA

N315JH1TSGH243(MIC=4)TSGH205(MIC=8)
SA1193fmtCQ692E (C2074G)QQEE
SA0614graRD148Q (G442C, T444G)DDQQ
SA0615graSL26F (G78C)LLFF
I59L (A175T)IILL
T224I (C671T)TTII
SA0879htrAT278I (C833T)TTII
P306L (T917C)LLPP
I311T (T932C)IITT
SA0038mecAN146K (T438A)NNKK
N204K (T612G)NNKK
G246E (G738A)GGEE
SA1283pbp2C197Y (G591A)CYYY
A420V (C1259T)AAVV
A557T (G1669A)AATT
SA0598pbp4S189T (T565A)SSTT
S395C (A1183T)SSCC
A409T (G1225A)AATT
SA2316srtAN57K (T171A)NNKK
E167G (A500G)EEGG
SA246tcaAL218P (T653C)LPPP
Y237H (T709C)YYHH
T262S (A784T)TTSS
R283H (A848G)RRRH
G312D (G935A)GGGD
SA1103uppsI63V (A187G)IIVV
K101E (A301G)KKEE
SA1700vraRE59D (A177T)EEED
SA0018vicKR222K (G665A)RRKK

Note: Sequences in bold typeface have been reported in previous studies.

Abbreviations: TSGH, Tri-Service General hospital; VISA, vancomycin-intermediate Staphylococcus aureus; VSSA, vancomycin-sensitive S. aureus.

Prevalence of the 29 SNVs in VSSA, hVISA and VISA isolates

In the second step of analysis, the association of these 29 SNVs with vancomycin resistance was determined. To achieve the goal, the nucleotide sequences of the aforementioned 12 genes of 16 additional clinical isolates were compared, including five VSSA, nine hVIS and two VISA strains. Results showed that two VSSA, five hVISA and all VISA isolates had the same 29 SNVs. Six of these SNVs were novel and resulted in the following amino acid changes: Q692E in FmtC; T278I, P306L and I311T in HtrA; and I63V and K101E in Upps (Table 4).
Table 4

Amino acid sequence variations in 16 MRSA isolates

TypesAmino acidVSSA (5)hVISA (9)VISA (2)
CGMH strain43462344964332502362411050602152463680
VAN MIC1121.5122222222222
PAP/AUC0.820.650.730.830.690.940.911.140.931.20.910.9810.951.471.37
fmtCQ692E+++++++++
graRD148Q++++++++++
graSL26F++++++++++
I59L+++++++++
T224I+++++++++++
htrAT278I+++++++++
P306L+++++++++++
I311T+++++++++++
mecAN146K++++++++++
N204K++++++++++
G246E+++++++++++
pbp2C197Y++++++++++++++++
A420V+++++++++
A557T+++++++++
pbp4S189T++++++++++
S395C++++++++++
A409T++++++++++
srtAN57K++++++++++++
E167G+++++++++
tcaAL218P++++++++++++
Y237H+++++++++++
T262S+++++++++++
R283H++++++++++
G312D++++++++++++
uppsI63V++++++++++++
K101E+++++++++
vraRE59D+++++++++
vicKR222K+++++++++

Notes: Sequences in bold typeface have been reported in previous studies. Minus sign (−): sequence identical to that of N315; plus sign (+): sequence different from that of N315.

Abbreviations: CGMH, Chang Gung Memorial Hospital; hVISA, heterogeneous vancomycin-intermediate Staphylococcus aureus; MRSA, methicillin-resistant S. aureus; PAP/AUC, population analysis profile and area under the curve ratio; VISA, vancomycin-intermediate S. aureus; VSSA, vancomycin-sensitive S. aureus.

Amino acid sequence variations in HtrA, FmtC and Upps associated with vancomycin resistance

In the third step of analysis, the role of these six novel SNVs in vancomycin resistance was then investigated by detecting their presence in 69 additional MRSA isolates. These isolates included 25 VSSA, 32 hVISA and 12 VISA isolates. Among the six amino acid variations, P306L and I311T in HtrA and I63V in Upps were present in the majority of VSSA isolates (P306L, 86.7%; I311T, 86.7%; I63V, 76.7%), as shown in Table 5, suggesting that these three amino acid variations are not associated with vancomycin resistance. The other three amino acid variations (T278I in HtrA, K101E in Upps and Q692E in FmtC) were found to be present in the majority of hVISA and VISA isolates, but only in a small number of VSSA isolates. The percentages of isolates with these sequence variations were the following: HtrA T278I: 87.8% hVISA, 93.8% VISA and 25.7% VSSA isolates; Upps K101E: 87.8% hVISA, 87.5% VISA and 22.9% VSSA isolates; and FmtC Q692E: 87.8% hVISA, 87.5% VISA and 25.7% VSSA isolates (Tables 5–7).
Table 5

Amino acid sequence variations in 30 VSSA isolates

Strain IDAmino acid sequence variations
FmtC
HtrA
Upps
Q692ET278IP306LI311TI63VK101E
CGMH43
CGMH46
CGMH234+++
CGMH49++++++
CGMH64++++++
CGMH827+
CGMH828+++
CGMH829+++
CGMH830+++
CGMH831+++++
CGMH832
CGMH833++
CGMH834+++
CGMH835+++
CGMH836+++
CGMH837
CGMH838+++
CGMH839+++
CGMH840+++
CGMH841+++
CGMH842++
CGMH843+++
CGMH844+++
CGMH845+++
CGMH846
CGMH847+++
CGMH848++
CGMH849+++
CGMH850+++
CGMH851++++++
13.3%13.3%86.7%86.7%76.7%10.0%

Notes: Minus sign (−): sequence identical to that of N315; plus sign (+): sequence different from that of N315.

Abbreviations: CGMH, Chang Gung Memorial Hospital; S. aureus, Staphylococcus aureus; VSSA, vancomycin-sensitive S. aureus.

Table 6

Amino acid sequence variations in 41 hVISA isolates

Strain IDAmino acid sequence variations
FmtC
HtrA
Upps
Q692ET278IP306LI311TI63VK101E
P-valuea4.4×10−94.4×10−90.010.20.055.1×10−10
CGMH33
CGMH250
NTUH9148+++
CGMH2++++++
CGMH6++++++
CGMH9++++++
CGMH10++++++
CGMH22++++++
CGMH23++++++
CGMH37++++++
CGMH42++++++
CGMH50++++++
CGMH55++++++
CGMH57++++++
CGMH62++++++
CGMH75++++++
CGMH82++++++
CGMH85++++++
CGMH103++++++
CGMH104++++++
CGMH108++++++
CGMH199++++++
CGMH208++++++
CGMH215++++++
CGMH216++++++
CGMH222++++++
CGMH224++++++
CGMH232++++++
CGMH238++++++
CGMH246++++++
CGMH247++++++
NTUH9095++++++
TSGH5046++++++
TSGH5047++++++
CMMC2012++++++
CMMC2086++++++
NTUH9140++++++
CGMH236+
CGMH60++++++
CGMH72++++++
CGMH241+++
87.8%87.8%92.7%92.7%95.1%87.8%

Notes: Minus sign (−): sequence identical to that of N315; plus sign (+): sequence different from that of N315.

P values were generated by the Student’s t-test by comparing the data from VISA and hVISA isolates.

Abbreviations: CGMH, Chang Gung Memorial Hospital; CMMC, Chi Mei Medical Center; hVISA, heterogeneous vancomycin-intermediate Staphylococcus aureus; NTUH, National Taiwan University Hospital; TSGH, Tri-Service General hospital; VISA, vancomycin-intermediate S. aureus.

Table 7

Amino acid sequence variations in 16 VISA isolates

Strain IDAmino acid sequence variations
FmtC
HtrA
Upps
Q692ET278IP306LI311TI63VK101E
P-valuea4.2×10−51.2×10−60.010.010.11.8×10−5
CGMH36++++++
CGMH80++++++
CMUH4022++++++
CGMH852++++++
CGMH853+++
CGMH854++++++
CGMH855++++++
CGMH856++++++
CGMH857+++
CMUH2021++++++
TSGH188++++++
TSGH204++++++
TSGH205++++++
TSGH218++++++
TSGH243++++++
TSGH257++++++
87.50%93.80%100%100%93.80%87.50%

Notes: Minus sign (−): sequence identical to that of N315; plus sign (+): sequence different from that of N315.

P values were generated by the Student’s t-test by comparing the data from VSSA and VISA isolates.

Abbreviations: CGMH, Chang Gung Memorial Hospital; CMUH, China Medical University Hospital; TSGH, Tri-Service General Hospital; VISA, vancomycin-intermediate Staphylococcus aureus; VSSA, vancomycin-sensitive S. aureus.

Discussion

Previous studies have revealed 60 genes that may be related to vancomycin resistance,6,9 suggesting that vancomycin resistance is a complex phenomenon and is mediated not by a single gene but by a group of genes. Among these 60 genes, 41 were found to be associated with vancomycin resistance by expression analysis;10,14,16,20–23 8 were found by overexpression, deletion or insertion mutations;10,15,18,19 11 were found by analysis of SNVs.4,9,11,17,20 In this study, we found 29 SNVs in the following 12 genes: fmtC, graR, graS, htrA, mecA, pbp2, pbp4, srtA, tcaA, upps, vraR and vicK (Table 3). Six of these 29 SNVs in fmtC, htrA and upps are novel. Since we only examined the sequences of these 12 genes in a limited number (87) of MRSA isolates, it is conceivable that other isolates may have other important sequence variations that were not detected in this study. Of the 12 genes with SNVs, graR, graS, vicK and vraR are related to the two-component system.9 The others (mecA, pbp2, pbp4, srtA, tcaA, fmtC, htrA and upps) are more closely associated with vancomycin resistance. The mecA gene encodes the penicillin-binding protein 2a (PBP2a), which plays a role in resistance to beta-lactam antibiotics. Previous studies have shown that vancomycin treatment triggers deletions in the mecA gene.26,27 The N146K, N204K and G246E mutations in the MecA protein that we found in this study are located near or in the dimerization domain of PBP2a (KEGG database; http://www.kegg.jp/ssdb-bin/ssdb_motif?kid=sav:SAV0041) and would cause conformational changes of PBP2a. A recent study showed that these mutations (N146K, N204K and G246E) are highly associated with ceftaroline resistance,28 suggesting that they are also related to vancomycin susceptibility. The pbp2 and pbp4 genes encode other penicillin-binding proteins (PBPs), which are also major components of the cell wall. The N-terminal domain of these PBPs encodes a glycosyltransferase, which catalyzes glycan chain polymerization from lipid II. Their C-terminal domain encodes a transpeptidase, which cross-links glycan chains.29 In addition to the glycosyltransferase and transpeptidase domains, PBP4 also has a domain encoding a carboxypeptidase, which hydrolyzes the C-terminal D-Ala-D-Ala peptide bond of the precursor of peptidoglycan.30 Previous studies have shown that vancomycin treatment increases the expression of pbp2, but decreases the expression of pbp4 in S. aureus.31 It has been shown that pbp4 mutations result in a decrease in its carboxypeptidase activity, leading to increased production of D-Ala-D-Ala termini in peptidoglycan and decreased vancomycin-binding affinity.31 The sequence variation S189T in PBP4, we found in this study, is located in its carboxypeptidase domain (KEGG database; http://www.kegg.jp/ssdb-bin/ssdb_motif?kid=sav:SAV0642) and conceivably would reduce its activity. Previous studies on PBP2 have found that mutations in the transpeptidase domain of PBP2 increase the susceptibility of S. aureus to ceftizoxime.32 The C197Y, A420V and A557T mutations in PBP2 found in this study are located in its trans-peptidase and transglycosylase domains (KEGG database; http://www.kegg.jp/ssdb-bin/ssdb_motif?kid=sav:SAV1450). The C197Y mutation has been shown to be associated with the susceptibility of S. aureus to ceftaroline,33 which is effective for treatment of hVISA or VISA infections.34 Although the other two mutations have not been investigated, it is conceivable that they will alter the activity of PBP2. The srtA gene encodes sortase A, which is involved in the modification of cell surface proteins.35 Transcriptome analysis revealed a decreased expression of srtA by vancomycin treatment.10 The N167K mutation identified in this study is located in the sortase domain (KEGG database; http://www.kegg.jp/ssdb-bin/ssdb_motif?kid=sav:SAV2528) and, thus, would decrease its activity. The tcaA gene encodes a membrane protein that has been shown to be associated with glycopeptide resistance.36 Structural analysis showed that amino acid residues 195–322 of the TcaA protein contain an OprB porin domain (http://www.kegg.jp/ssdb-bin/ssdb_motif?kid=sauf:X998_2340) of the ABC transporter, which plays a major role in carbohydrate uptake. Previous studies have shown that the ABC transporter is also involved in bacterial multidrug resistance.37 Since the five amino acid variations (L218P, Y237H, T262S, R283H and G312D) in the TcaA protein we found are all located in its OprB porin domain, it is conceivable that these mutations will affect vancomycin resistance. In this study, six novel SNVs were found in fmtC, htrA and upps genes that have not been shown to be associated with vancomycin resistance. Three of them (Q692E in FmtC, T287I in HtrA and K101E in Upps) were correlated with vancomycin resistance (Tables 5–7). The htrA gene encodes a serine protease of the DegP family.38 Previous studies have shown that HtrA can suppress the production and secretion of bacteriocin by Streptococcus pneumonia.39 Bacteriocin-producing enterococci and staphylococci also have been described.40–42 There have been no reports on the relationship between bacteriocin production and vancomycin resistance. Bacteriocin production has been shown to augment niche competition by enterococci in the gastrointestinal tract.43 It is unknown whether any of the MRSA isolates examined in this study produces bacteriocin. Therefore, the mechanisms by which HtrA mediates vancomycin resistance remain to be investigated. The T278I mutation is predicted to be located in the coil structure of HtrA (http://www.ebi.ac.uk/interpro/protein/Q5HH63). It is possible that this mutation alters the secondary structure and thus the enzymatic activity of HtrA, leading to vancomycin resistance. The upps gene encodes undecaprenyl pyrophosphate synthase, which catalyzes the formation of undecaprenyl pyrophosphate (UPP) by condensing farnesyl pyrophosphate with eight molecules of isopentenyl pyrophosphate.44 UPP is a lipid carrier during peptidoglycan synthesis. Inhibition of Upps has been shown to suppress cell wall synthesis and decrease the susceptibility of bacteria to vancomycin.11 Structural prediction (EMBL-EBL; http://www.ebi.ac.uk/interpro/protein/A0A1D4QTF1) revealed that Upps has a dimer interface residue at amino acid position 101. Thus, the K101E variation discovered in this study very likely would destabilize Upps, leading to vancomycin resistance. The fmtC (also called mprF) gene encodes phosphatidylglycerol lysyltransferase that mediates lysinylation of phosphatidylglycerol.45 Mutations in fmtC in S. aureus and Bacillus subtilis have been shown to cause a decrease in the production of lysyl-peptidoglycan, thus increasing negative charges of the cell membrane and reducing the susceptibility of bacteria to vancomycin and daptomycin.46,47 The Q692E mutation, that we found in this study, is located in the IPR02430 domain (EMBL-EBL; http://www.ebi.ac.uk/interpro/entry/IPR024320), which is involved in the transfer of the lysyl group from l-lysyl-tRNA to membrane-bound peptidoglycan. This mutation very likely will disrupt this process, resulting in vancomycin resistance. Limitations of this study include limited number of MRSA isolates examined and lack of detailed information of infections caused by the isolates, correlation between gene expression levels and vancomycin resistance, and functional studies of the SNVs. Therefore, the possibility that the SNVs discovered in this study may not completely correlate with vancomycin resistance of MRSA isolates still exists.

Conclusion

We have identified 29 SNVs that are more prevalent in hVISA and VISA than in VSSA isolates. Through sequence comparison of 87 isolates, we demonstrated that three novel SNVs in htrA, upps and fmtC genes are associated with vancomycin resistance. Since other environmental factors such as coinfections and patient’s conditions may also affect vancomycin resistance, allelic replacement or complementation of these SNVs needs to be performed to confirm the roles of these mutations in vancomycin resistance. Comparative analysis gene list
Table S1

Comparative analysis gene list

Accession numberGene nameLocationGene functionGene mutation typeReference
SA1843agrC2080353–2081468Accessory gene regulator CSNP (L193stop)4
SA0366ahpC422549–423118Alkyl hydroperoxide reductase subunit CTranscriptome analysis data22
SA1226asd1401012–1402001Aspartate semialdehyde dehydrogenaseTranscriptome analysis data16
SA1557ccpA1784194–1785138Catabolite control protein AKnock out deletion15
SA0723clpP827630–828217ATP-dependent Clp protease proteolytic subunitTruncating deletion, SNP (M1V, H83R, R152H)20
SA1096clpQ1242040–1242585Heat shock protein HslVTranscriptome analysis data16
SA0480ctsR560629–561090Transcription repressor of class III stress genes homologueTranscriptome analysis data20
SA0639cydC731989–733620Hypothetical protein, similar to ABC transporter required for expression of cytochrome bdTranscriptome analysis data20
SA0640cydD733617–735290Hypothetical protein, similar to ABC transporter required for expression of cytochrome bdTranscriptome analysis data20
SA1228dapB1402887–1403609Dihydrodipicolinate reductaseTranscriptome analysis data16
SA1206fmtA1379204–1380466Factor essential for expression of methicillinTranscriptome analysis data21
SA1193fmtC1363612–1366134Oxacillin resistance-related FmtC proteinTranscriptome analysis data10
SA0309geh365458–367533Glycerol ester hydrolaseTranscriptome analysis data16
SA0430gltB490664–495163Glutamate synthase large subunitTranscriptome analysis data16
SA0614graR708245–708919Hypothetical protein, similar to two-component response regulatorSNP (T11A, E15K, S79F, D148Q, F151L, N197S)9
SA0615graS708912–709952Hypothetical protein, similar to two-component sensor histidine kinaseSNP (L26F, I59L, T224I)9
SA0879htrA997117–999426Serine protease HtrATranscriptome analysis data10
SA1859ilvB2099308–2101077Acetolactate synthase large subunitTranscriptome analysis data16
SA0980isdE1109815–1110693Hypothetical protein, similar to ferrichrome ABC transporterSNP (A48V)17
SA1997lacAcomplement (2268598–2269026)Galactose-6-phosphate isomerase LacA subunitTranscriptome analysis data16, 20
SA1996lacBcomplement (2268067–2268582)Galactose-6-phosphate isomerase LacB subunitTranscriptome analysis data16, 20
SA1995lacCcomplement (2267122–2268054)Tagatose-6-phosphate kinaseTranscriptome analysis data16, 20
SA1994lacDcomplement (2266138–2267118)Tagatose-1,6-diphosphate aldolaseTranscriptome analysis data16, 20
SA2103lytR2365947–2366894Hypothetical protein, similar to lyt divergon expressionTranscriptome analysis data10
SA0038mecAcomplement (45031–47037)Penicillin-binding protein 2 primeTranscriptome analysis data10
SA0344metEcomplement (401175–403403)5-Methyltetrahydropteroyltriglutamate-homocysteine methyltransferaseTranscriptome analysis data10
SA0641MgrAcomplement (735417–735860)Hypothetical protein; regulatory protein involved in autolytic activityDeletion10
SA0997murI1130843–1131643Glutamate racemaseTranscriptome analysis data10
SA1926murZcomplement (2174362–2175621)UDP-N-acetylglucosamine 1-carboxylvinyl transferase 2Transcriptome analysis data10
SA0847oppD960028–961110Oligopeptide transport system ATP-binding protein OppD homologTranscriptome analysis data10
SA2237opuCAcomplement (2511766–2512998)Glycine betaine/carnitine/choline ABC transporter opuCATranscriptome analysis data10
SA2236opuCBcomplement (2511134–2511769)Glycine betaine/carnitine/choline ABC transporter opuCBTranscriptome analysis data10
SA2235opuCCcomplement (2510176–2511117)Glycine betaine/carnitine/choline ABC transporter opuCCTranscriptome analysis data10
SA2234opuCDcomplement (2509481–2510176)Glycine betaine/carnitine/choline ABC transporter opuCDTranscriptome analysis data10
SA1283pbp21486656–1488839Penicillin-binding protein 2Overexpression10
SA0598pbp4complement (690688–691983)Penicillin binding protein 4Overexpression/allelic replacement inactivation10
SA1024pbpA1158054–1160288Penicillin-binding protein 1Transcriptome analysis data10
SA1659prsA1892718–1893680Peptidyl-prolyl cis/trans isomerase homologDeletion frameshift mutation10
SA0963pycA1091242–1094694Pyruvate carboxylaseTranscriptome analysis data10
SA0500rpoB579620–583171RNA polymerase beta chainSNP (G171D, A447V, D471Y, H481Y)4
SA1872rsbUcomplement (2119821–2120822)SigmaB regulation protein RsbUTranscriptome analysis data14
SA2094SA2094complement (2353833–2355233)Hypothetical protein, similar to Na+/H+ antiporterSNP (A94T)17
SA0573SarA666347–666721Staphylococcal accessory regulator ATranscriptome analysis data10
SA1691sgtBcomplement (1938571–1939380)Hypothetical protein, similar to penicillin-binding protein 1A/1BTranscriptome analysis data10
SA0111sirAcomplement (127549–128541)Iron-regulated ABC transporterTranscriptome analysis data20
SA0110sirBcomplement (126538–127533)Iron-regulated ABC transporter siderophore permease protein SirBTranscriptome analysis data20
SA0109sirCcomplement (125543–126460)Iron-regulated ABC transporter siderophore permease protein SirCTranscriptome analysis data20
SA0456SpoVG526376–526702Stage V sporulation protein G homologDeletion19
SA2316srtAcomplement (2600886–2601506)SortaseTranscriptome analysis data10
SA0592tagA685072–685836Teichoic acid biosynthesis proteinTranscriptome analysis data23
SA2146tcaAcomplement (2411587–2412969)TcaA proteinSNP (M202T, L218P, T279I, R283H, G312D)9
SA0857trfA971601–972320Hypothetical protein, similar to negative regulator of genetic competence MecAInsertion inactivation18
SA0858trfB972441–973427Hypothetical protein, similar to transcription factorInsertion inactivation18
SA1103upps1248834–1249604Undecaprenyl pyrophosphate synthetasePoint mutation on ribosome binding site11
SA0018vicK25648–27474Two-component response regulatorSNP (L10F, N48K, R222K/I, G275V, R282C, F330S, V380I, S437F, A468T, T492K, D496N, V494L, A567D)20
SA0017vicR24928–25635Two-component response regulatorTranscriptome analysis data16
SA1700vraRcomplement (1946742–1947371)Two-component response regulatorSNP (E59D, A113V, S164P, S329L)9, 20
SA1701vraScomplement (1947361–1948404)Two-component response regulatorSNP (I5N, G9V, G88D, T104A, L123H, S167N, F243S, A260V, K272I, A314V, L315M, I317T, F321L, P327S)9, 20
SA1095xerC1241147–1242043Site-specific recombinase XerC homologTranscriptome analysis data16
SA1702SA17021948401–1949102Conserved hypothetical proteinSNP (E56G, L86I, Q136H)9
  47 in total

1.  Role of penicillin-binding protein 2 (PBP2) in the antibiotic susceptibility and cell wall cross-linking of Staphylococcus aureus: evidence for the cooperative functioning of PBP2, PBP4, and PBP2A.

Authors:  Tomasz A Łeski; Alexander Tomasz
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

2.  Septic arthritis caused by vancomycin-intermediate Staphylococcus aureus.

Authors:  Jang-Jih Lu; Shih-Yi Lee; Su-Yang Hwa; An-Hang Yang
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

3.  Reducing the Level of Undecaprenyl Pyrophosphate Synthase Has Complex Effects on Susceptibility to Cell Wall Antibiotics.

Authors:  Yong Heon Lee; John D Helmann
Journal:  Antimicrob Agents Chemother       Date:  2013-06-24       Impact factor: 5.191

4.  Release of protein A from the cell wall of Staphylococcus aureus.

Authors:  Samuel Becker; Matthew B Frankel; Olaf Schneewind; Dominique Missiakas
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

5.  Vancomycin-induced deletion of the methicillin resistance gene mecA in Staphylococcus aureus.

Authors:  Rajan P Adhikari; Georgina C Scales; Kere Kobayashi; John M B Smith; Brigitte Berger-Bächi; Gregory M Cook
Journal:  J Antimicrob Chemother       Date:  2004-07-08       Impact factor: 5.790

6.  Bacteriocin production by Staphylococcus aureus involved in bovine mastitis in Brazil.

Authors:  Hilana Ceotto; Janaína dos Santos Nascimento; Maria Aparecida Vasconcelos de Paiva Brito; Maria do Carmo de Freire Bastos
Journal:  Res Microbiol       Date:  2009-07-25       Impact factor: 3.992

7.  Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing.

Authors:  Michael M Mwangi; Shang Wei Wu; Yanjiao Zhou; Krzysztof Sieradzki; Herminia de Lencastre; Paul Richardson; David Bruce; Edward Rubin; Eugene Myers; Eric D Siggia; Alexander Tomasz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-21       Impact factor: 11.205

8.  Missense mutations of PBP2a are associated with reduced susceptibility to ceftaroline and ceftobiprole in African MRSA.

Authors:  Frieder Schaumburg; Georg Peters; Abraham Alabi; Karsten Becker; Evgeny A Idelevich
Journal:  J Antimicrob Chemother       Date:  2015-10-05       Impact factor: 5.790

9.  Genomic analysis reveals a point mutation in the two-component sensor gene graS that leads to intermediate vancomycin resistance in clinical Staphylococcus aureus.

Authors:  Benjamin P Howden; Timothy P Stinear; David L Allen; Paul D R Johnson; Peter B Ward; John K Davies
Journal:  Antimicrob Agents Chemother       Date:  2008-07-21       Impact factor: 5.191

10.  The ABC of Ribosome-Related Antibiotic Resistance.

Authors:  Daniel N Wilson
Journal:  MBio       Date:  2016-05-03       Impact factor: 7.867

View more
  3 in total

1.  Genome Sequence of a Highly Virulent pvl-positive Vancomycin-intermediate-resistant Staphylococcus aureus Sequence Type 30.

Authors:  Raiane C Chamon; Lucas M Marques; Jorge Timenetsky; Caio T C da Costa Rachid; Rosana B R Ferreira; Tamara L R de Oliveira; Thais Glatthardt; Lilian de Oliveira Moreira; Kátia R N Dos Santos
Journal:  Curr Genomics       Date:  2020-02       Impact factor: 2.236

2.  Rapid Detection of Heterogeneous Vancomycin-Intermediate Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization Time-of-Flight: Using a Machine Learning Approach and Unbiased Validation.

Authors:  Hsin-Yao Wang; Chun-Hsien Chen; Tzong-Yi Lee; Jorng-Tzong Horng; Tsui-Ping Liu; Yi-Ju Tseng; Jang-Jih Lu
Journal:  Front Microbiol       Date:  2018-10-11       Impact factor: 5.640

3.  Genomic insights on heterogeneous resistance to vancomycin and teicoplanin in Methicillin-resistant Staphylococcus aureus: A first report from South India.

Authors:  Yamuna Devi Bakthavatchalam; Priyanka Babu; Elakkiya Munusamy; Hariharan Triplicane Dwarakanathan; Priscilla Rupali; Marcus Zervos; Peter John Victor; Balaji Veeraraghavan
Journal:  PLoS One       Date:  2019-12-30       Impact factor: 3.240

  3 in total

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