Previous Article | Next Article ![]()
Journal of Clinical Microbiology, June 2007, p. 1904-1911, Vol. 45, No. 6
0095-1137/07/$08.00+0 doi:10.1128/JCM.02500-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
,
Michael R. Mulvey,1,2*
National Microbiology Laboratory, 1015 Arlington Ave., Winnipeg, Manitoba R3E 3R2, Canada,1 University of Manitoba, 730 William Ave, Winnipeg, Manitoba R3E 0W3, Canada2
Received 13 December 2006/ Returned for modification 20 January 2007/ Accepted 30 March 2007
|
|
|---|
|
|
|---|
From 1995 to 2004, 38 hospitals belonging to the Canadian Nosocomial Infection Surveillance Program (CNISP) collected over 9,300 MRSA isolates, which were typed using pulsed-field gel electrophoresis (PFGE), for the purpose of national surveillance. A Canadian epidemic PFGE strain type has been defined as one that is clinically significant and isolated from five or more hospital sites or from three or more geographical regions across Canada (21). Initial surveillance from 1995 to 1999 identified six epidemic types of MRSA in Canada, CMRSA1 to CMRSA6 (23), where the "C" stands for Canadian and should not be confused with community-associated MRSA (CA-MRSA). Since 1999, four new epidemic types (CMRSA7 to CMRSA10) have emerged (13; unpublished data). CMRSA1 to CMRSA6, CMRSA8, and CMRSA9 are typically hospital-associated MRSA (HA-MRSA), while CMRSA7 and CMRSA10 are commonly CA-MRSA.
This report describes the comparison of the genomic contents of representative isolates for each of the 10 Canadian epidemic PFGE types (CMRSA1 to CMRSA10) for the purpose of identifying genetic factors that might be indicative of virulence potential and/or epidemicity.
|
|
|---|
|
View this table: [in a new window] |
TABLE 1. Isolates used in this studya
|
Cultures were grown in brain heart infusion broth at 37°C for 18 h, centrifuged, and lysed using lysostaphin. Genomic DNA was extracted using the phenol-chloroform extraction method as described previously (17). The DNA was sheared to 300 to 500 bp by sonication with the Virsonic ultrasonic cell disruptor 100 (VirTis, Gardiner, NY) for 2.5 min. The concentration of sheared DNA was determined at 260 nm using the Nanodrop 2000 spectrophotometer (Nano-drop Technologies, Wilmington, DE) and subsequently diluted to 111 ng/µl in double-distilled water.
Sheared genomic DNA was labeled with dCTP coupled to Cy3 or Cy5 (Amersham Biosciences, Piscataway, NJ) via random primed labeling using the Invitrogen (Carlsbad, CA) Bioprime CGH kit. Cy dye incorporation was determined using the Nanodrop 2000 spectrophotometer (Nano-drop Technologies), and values over 0.020 pmol/ng were used in the experiments. Labeled DNA, along with 100 µg of yeast tRNA, was concentrated using Microcon YM-30 centrifugal filter devices (Millipore, Billerica, MA). The volume of the labeled DNA was adjusted to 55 µl using prehybridization buffer (3x SSC [1x SSC is 0.15 M NaCl plus 0.015 M sodium citrate], 0.1% sodium dodecyl sulfate [SDS] [Sigma]) and then boiled for 1 min 30 s prior to hybridization.
Arrays were blocked in prehybridization buffer containing 0.1 mg/ml bovine serum albumin at 50°C for 1 h. The slides were washed in double-distilled water, rinsed in 100% isopropanol, and dried by centrifugation. The labeled probe was applied to the array and covered with a HybriSlip coverslip (Grace Bio-Labs, Bend, OR). Arrays were incubated at 55°C overnight in a 10-slide hybridization chamber (Genetix, United Kingdom). Hybridized arrays were removed from the chamber and immediately dipped in 55°C wash buffer 1 (2x SSC, 0.1% SDS) in order to remove the coverslip. The slides were then washed in wash buffer 1 for 5 min at 55°C. Slides were then removed to a 10-min room temperature wash in wash buffer 2 (0.1x SSC, 0.1% SDS). Residual SDS was then removed by four 1-min room temperature washes in 0.1x SSC and a final rinse in 0.01x SSC. Slides were dried using centrifugation and scanned using the Virtek (Ontario, Canada) Chipreader.
Microarray analysis. Six hybridizations using three different biological replicates (the ORF set was printed in duplicate on each slide) were performed for each isolate and consisted of the test isolate labeled with Cy3 or Cy5 and Col labeled with the opposing dye (see Table S2 in the supplemental material). To rule out any dye bias, one of the three hybridizations for each isolate tested included a dye swap. Images generated from the Virtek Chipreader were imported into the ArrayPro Analyzer software package (Media Cybernetics, Inc., Silver Spring, MD). Data were filtered to include only spots whose fluorescence on the reference channel was greater than two times the background fluorescence. Data that were filtered out were eliminated from further analysis. Data were imported into Genomotyping Analysis by Charles Kim (9) and analyzed using a bin size of 0.10, no data smoothing, normal curve peak modeling, and a binary output (1 for present and 0 for absent/divergent) with a 0% estimated probability of presence. GeneMaths was used in order to sort the data and to insert null values wherever the data had been filtered out. All spot replicates were manually aligned using Microsoft Excel, and the following criteria were applied: (i) for any ORF, at least three of the replicates had to contain data, and if more than half the spots were 1's, the ORF was considered to be present; (ii) if more than half the spots were 0's, the ORF was considered to be absent/divergent; and (iii) if the 1 and 0 calls for one spot were equal, the status of that ORF was considered to be unknown. Once all the hybridization data had been combined, they were imported into a new GeneMaths database.
PCR validation. PCR was carried out in a 50-µl solution containing 500 ng template DNA; 3 mM MgCl2; 0.2 mM each dATP, dCTP, dGTP, and dTTP; a 1x concentration of AmpliTaq Gold PCR buffer; and 0.5 units AmpliTaq Gold (Applied Biosystems). Primers were used at a final concentration of 1 µM and are listed in Table 2. Cycling conditions were 5 min at 94°C, followed by 30 cycles of 30 s at 94°C, 30 s at 55°C, and 60 s at 72°C and a final 5-min extension step at 72°C. Resulting products were visualized on a Tris-borate-EDTA agarose (1.5%) gel. The amplicons were purified using Microcon YM-100 centrifugal filter devices (Millipore, Billerica, MA) and sequenced for validation.
|
View this table: [in a new window] |
TABLE 2. PCR primers used for the validation of the CGH data
|
|
|
|---|
![]() View larger version (33K): [in a new window] |
FIG. 1. MRSA isolates obtained through the CNISP from 1995 to 2004.
|
|
View this table: [in a new window] |
TABLE 3. Locations and features of variable regions in the S. aureus genome determined using CGH
|
|
View this table: [in a new window] |
TABLE 4. Presence or absence/divergence for select adhesins, exoenzymes, exotoxins, and regulatory elements in CMRSA1 to CMRSA10
|
A more restricted comparison involving the two most common hospital-associated isolates in Canada (CMRSA1 and CMRSA2) with the two community-associated isolates (CMRSA7 and CMRSA10) revealed 51 differences (see Table S1 in the supplemental material). The presence of ORFs specific to CMRSA7 and CMRSA10 included three SCCmec ORFs contained within variable region 1 (SACOL0035, SACOL0036, and SACOL0046), two staphylococcal enterotoxin ORFs contained within variable region 11 (SACOL0886 and SACOL0887), and seven epidermin ORFs contained within variable region 16 (SACOL1870 and SACOL1872 to SACOL1877) (see Table S1 in the supplemental material). The presence or absence of ORFs in only CMRSA7 and CMRSA10 encoding these two enterotoxins, as well as four select ORFs encoding epidermin and its modification factors, was confirmed using PCR (Table 4).
Genomic comparison of CMRSA1 and CMRSA2. CMRSA1 was the most prevalent hospital-associated strain identified by the CNISP from 1995 to 1999 (23) but has since declined. On the contrary, CMRSA2 has increased substantially from 1999 to 2004 and has become the most prevalent strain type in Canada (Fig. 1). The genomic contents of these two hospital-associated isolates were compared to investigate potential ORFs specific to CMRSA2 that might be contributing to its prevalence. This comparison revealed 186 differences, 114 of which represented ORFs present in only CMRSA2 (see Table S1 in the supplemental material). This included three ORFs in variable region 20 encoding an LPXTG motif protein (SACOL2505) as well as two accessory regulators, SarT (SACOL2506) and SarU (SACOL2507), seven ORFs in variable region 16 encoding serine proteases (SACOL1864, SACOL1866, and SACOL1867 to SACOL1869) and leukotoxins (SACOL1880 and SACOL1881), two exotoxins in variable region 8 (SACOL0472 and SACOL0473), as well as three additional exotoxins located downstream (SACOL1178 to SACOL1180). Three other ORFs of potential interest not identified in CMRSA1, but present in CMRSA2, include ORFs encoding an extracellular matrix-binding protein (SACOL0608), a fibrinogen-binding precursor-related protein (SACOL1169), and a putative pathogenicity protein (SACOL1472).
The 72 genes present in CMRSA1 but absent/divergent in CMRSA2 included 31 ORFs contained within bacteriophage L54a and 31 hypothetical ORFs of unknown function. One ORF of potential interest included the accessory gene regulator protein B (SACOL2023), which was absent in CMRSA2.
Genomic comparison of CMRSA7 and CMRSA10. The occurrence of CMRSA7 and CMRSA10 has increased in Canada over the past few years; however, CMRSA10 has become the more prevalent of the two as determined by nosocomial surveillance (Fig. 1) and other reports (5). Comparison of the genomic content of these two isolates revealed 127 differences, 119 of which were ORFs present in only CMRSA10 (see Table S1 in the supplemental material). This included three ORFs in variable region 5 involved in capsular biosynthesis (SACOL0143 to SACOL0145), three ORFs in variable region 8 encoding exotoxins (SACOL0468, SACOL0474, and SACOL0478), three ORFs contained within variable region 11 encoding two regulatory genes (SACOL0890 and SACOL0891) and a putative ORF (SACOL0903), and two other regulatory genes belonging to the GntR (SACOL0091) and MarR (SACOL2524) family. The eight ORFs present in only CMRSA7 but absent/divergent in CMRSA10 included four ORFs contained within bacteriophage L54a (SACOL0327, SACOL0328, SACOL0321, and SACOL0344), three hypothetical ORFs (SACOL0497, SACOL910, and SACOL2032), and an ORF encoding a glycosyl transferase family protein (SACOL0243).
A comparison of CMRSA1, CMRSA2, CMRSA7, and CMRSA10 revealed 17 ORFs present in only CMRSA2 and CMRSA10, which included 12 ORFs encoding hypothetical proteins and splD (SACOL1866), encoding a serine protease (Table 4; see Table S1 in the supplemental material).
|
|
|---|
Analysis of the CGH data for each of the MRSA strain types examined determined that there was no specific or set of defined virulence factors whose presence or absence/divergence could definitively differentiate HA-MRSA from CA-MRSA isolates. Similar findings were reported in a recent study comparing the genomic content of an American epidemic community-associated strain type, USA300, with three other S. aureus lineages (24). From these studies, it cannot be concluded that such factors do not exist, as genes potentially indicative of epidemicity may not have been represented on the arrays.
A more restricted comparison did reveal the presence or absence/divergence of a few ORFs that might be of significance. For instance, comparison of the two most common HA-CMRSA isolates (CMRSA1 and CMRSA2) with the CA-CMRSA isolates (CMRSA7 and CMRSA10) revealed a gene cluster in the CA-CMRSA isolates encoding epidermin and its modification factors, which yields a lantibiotic against other gram-positive bacteria (18). The epidermin gene cluster has also been designated bsa (bacteriocin in S. aureus) in MW2 (1) and is similar to those previously reported for S. epidermidis (19). This gene cluster is carried on a type II genomic island,
Saß, and was previously proposed to provide selective advantages for the MW2 CA-MRSA strain in competing with other bacterial species for colonization (1). However, the epi/bsa gene cluster cannot be used as a specific marker for CA-CMRSA strains, as it was also present in four epidemic HA-CMRSA isolates (CMRSA3, CMRSA5, CMRSA6, and CMRSA9) (Table 4).
Previous markers commonly used to detect CA-MRSA strains have included lukF-PV and lukS-PV, which encode the Panton-Valentine leukocidin. However, the presence of Panton-Valentine leukocidin is not an absolute indicator of CA-MRSA, as indicated by its absence in a number of community-associated isolates (16, 25; data not shown). Further examination of ORFs from our array that might be indicative of CA-CMRSA isolates revealed one ORF, SACOL0046, encoded within the J1 region of the SCCmec element, which was present only in CMRSA7 and CMRSA10. SACOL0046 encodes a putative protein belonging to a metallo-beta-lactamase family, and its presence in only community-associated epidemic strains is in accordance with data provided in a previous genomic hybridization study comparing epidemic community-associated strains (USA300 and USA400) with epidemic hospital-associated strains (USA100 and USA500) (24). Therefore, further studies involving the prevalence of SACOL0046 in other CA-MRSA genetic backgrounds should be conducted to determine if this factor is truly specific to established CA-MRSA isolates.
In comparison to the other nine CMRSA isolates used in this study, there were no ORFs represented on the array that could be solely responsible for the high prevalence of CMRSA2 (Fig. 1; see Table S1 in the supplemental material). Comparison of CMRSA2 with CMRSA1, which was the prevalent strain type up to 1999, did reveal some differences in genomic content that might be contributing to the higher occurrence of CMRSA2. These included ORFs encoding potential virulence factors involved in capsular biosynthesis, serine proteases, adhesion factors, regulatory functions, leukotoxins, and exotoxins (Table 4; see Table S1 in the supplemental material). The comparison of the two community-associated Canadian epidemic strain types (CMRSA7 and CMRSA10) also revealed additional virulence factors in CMRSA10 encoding proteins involved in capsular biosynthesis, exotoxins, regulatory functions, and adhesion (Table 4; see Table S1 in the supplemental material), which might be contributing to the prevalence of CMRSA10 in Canadian communities.
In a recent study, 61 invasive S. aureus isolates associated with community-acquired infections and 100 noninvasive S. aureus isolates previously collected from healthy blood donors were investigated using CGH (10). Similar to our study, those authors found many differences in genomic contents between isolates but no set of ORFs that could predict invasiveness. Alternatively, factors such as type of disease, location of acquisition, or epidemicity may be linked with host factors, environmental pressures, or gene expression patterns. Further studies into these additional factors could provide invaluable information in elucidating the potential pathogenicity and/or epidemicity of S. aureus strains, which could ultimately result in alternative targets for future antibiotic and/or vaccine development.
This is the first study to describe the genomic characteristics of Canadian epidemic CMRSA strain types. CGH comparisons have revealed some interesting genetic differences between hospital- and community-associated isolates, which warrant further examination to better understand the molecular aspects involved in the epidemic and community-associated nature of MRSA.
We also thank Shari Tyson and Kathleen Dawson for technical assistance.
Published ahead of print on 11 April 2007. ![]()
Supplemental material for this article may be found at http://jcm.asm.org/. ![]()
Members of the Canadian Nosocomial Infection Surveillance Program (CNISP) are as follows: David Boyd, National Microbiology Laboratory, Public Health Agency of Canada; Elizabeth Bryce, Vancouver General Hospital, Vancouver, British Columbia; John Conly, Foothills Medical Centre, Calgary, Alberta; Gordon Dow, The Moncton Hospital, Moncton, New Brunswick; John Embil, Health Sciences Centre, Winnipeg, Manitoba; Joanne Embree, Health Sciences Centre, Winnipeg, Manitoba; Charles Frenette, Hôpital Charles LeMoyne, Longueil, Quebec; Michael Gardam, University Health Network, Toronto, Ontario; Denise Gravel, Centre for Infectious Disease Prevention and Control, Public Health Agency of Canada; Elizabeth Henderson, Peter Lougheed Centre, Calgary, Alberta; James Hutchinson, Health Sciences Centre, St. John's, Newfoundland; Michael John, London Health Sciences Centre, London, Ontario; Lynn Johnston, Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia; Pamela Kibsey, Victoria General Hospital, Victoria, British Columbia; Joanne Langley, I. W. K. Health Science Centre, Halifax, Nova Scotia; Mark Loeb, Hamilton Health Sciences Corporation, Hamilton, Ontario; Anne Matlow, Hospital for Sick Children, Toronto, Ontario; Allison McGeer, Mount Sinai Hospital, Toronto, Ontario; Sophie Michaud, CHUS-Hôpital Fleurimont, Sherbrooke, Quebec; Mark Miller, SMBD-Jewish General Hospital, Montreal, Quebec; Dorothy Moore, Montreal Children's Hospital, Montreal, Quebec; Michael Mulvey, National Microbiology Laboratory, Public Health Agency of Canada; Marianna Ofner-Agostini, Centre for Infectious Disease Prevention and Control, Public Health Agency of Canada; Shirley Paton, Centre for Infectious Disease Prevention and Control, Public Health Agency of Canada; Virginia Roth, The Ottawa Hospital, Ottawa, Ontario; Andrew Simor, Sunnybrook and Women's College Health Sciences Centre, Toronto, Ontario; Jacob Stegenga, Centre for Infectious Disease Prevention and Control, Public Health Agency of Canada; Tammy Stuart, Canadian Field Epidemiology Program, Public Health Agency of Canada; Kathryn Suh, Children's Hospital of Eastern Ontario, Ottawa, Ontario; Geoffrey Taylor, University of Alberta Hospital, Edmonton, Alberta; Eva Thomas, Children's and Women's Health Center, Vancouver, British Columbia; Nathalie Turgeon, Hôtel-Dieu de Québec du CHUQ, Quebec; Mary Vearncombe, Sunnybrook and Women's College Health Sciences Centre, Toronto, Ontario; Joseph Vayalumkal, Canadian Field Epidemiology Program, Public Health Agency of Canada; Karl Weiss, Maisonneuve-Rosemont Hospital, Montreal, Quebec; Alice Wong, Royal University Hospital, Saskatoon, Saskatchewan; and Dick Zoutman, Kingston General Hospital, Kingston, Ontario. ![]()
|
|
|---|
This article has been cited by other articles:
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»