Literature DB >> 28468636

Nationwide molecular epidemiology of methicillin-resistant Staphylococcus aureus responsible for horse infections in France.

François Guérin1,2, Marguerite Fines-Guyon2, Pierrick Meignen3, Géraldine Delente2, Caroline Fondrinier1, Nancy Bourdon2, Vincent Cattoir4,5,6, Albertine Léon1,7.   

Abstract

BACKGROUND: The epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) isolated in horse infections is not well documented, especially in France. The aim of the study was to evaluate the prevalence of MRSA isolates in horse infections from 2007 to 2013 in France and to characterize phenotypically and genotypically this collection.
RESULTS: Out of 1393 S. aureus horse isolates, 85 (6.1%) were confirmed to be MRSA. Interestingly, the prevalence of MRSA significantly increased from 2007-2009 to 2010-2013 (0.7 vs. 9.5%, P <0.0001). Resistance to methicillin was due to the presence of the mecA gene in 84 strains (98.8%) while one strain (1.2%) possessed the mecC gene. The vast majority of the strains (83/85, 97.6%) was resistant to at least three different classes of antibiotics. Multi-locus sequence typing (MLST) showed that MRSA strains belonged mainly since not all belong to two sequence types (STs): ST398 (53/85, 62.4%) and ST8 (28/85, 32.9%). It is worth to note that all ST398 MRSA isolates were detected in the period 2010-2013. Other molecular typing methods were also used, such SCC mec analysis, spa typing and rep-PCR (Diversilab, bioMérieux). All these four techniques were in good agreement, with spa typing and rep-PCR being more discriminative than MLST and SCC mec typing.
CONCLUSIONS: This study is the first epidemiological study in France with extensive characterization of MRSA isolates associated with horse infections in stud farms. It shows that there is a significant increase of MRSA prevalence between 2007 and 2013, which mainly results from the spread of ST398 clones. It also highlights the importance of horses as a potential reservoir of important antimicrobial resistance genes.

Entities:  

Keywords:  Equine infections; MRSA; ST398; ST8

Mesh:

Substances:

Year:  2017        PMID: 28468636      PMCID: PMC5415774          DOI: 10.1186/s12866-016-0924-z

Source DB:  PubMed          Journal:  BMC Microbiol        ISSN: 1471-2180            Impact factor:   3.605


Background

Initially reported as a major cause of hospital-acquired infections in humans, methicillin-resistant Staphylococcus aureus (MRSA) has increasingly been reported as responsible for community-acquired infections as well as for infections in animals. Possible transmission of MRSA between humans and animals has raised concern about the role of animals as major reservoirs of MRSA clones involved in human infections [1-4]. Although MRSA strains are usually resistant to β-lactams through the acquisition of the mecA gene, a homolog gene (called mecC) has been recently reported both in animal and human populations [5-7]. It is well known that MRSA is responsible for a large variety of infections in numerous animals; however, specific studies in horses are scarce [6-9]. Indeed, some studies have demonstrated that horses are colonized and infected by MRSA clones that commonly belong to the sequence type (ST)8 and related STs within the clonal complex (CC)8 [6, 9]. More recently, studies from Europe and Canada reported horses to be colonized by MRSA clones belonging to ST398, designated livestock-associated (LA)-MRSA, which is primarily recognized as a colonizer of pigs and pig farmers [6]. LA-MRSA ST398 can be responsible for infections in humans in close contact with animals. Phenotypically, LA-MRSA ST398 is generally susceptible to antibiotics other than β-lactams even if it is characteristically resistant to tetracyclines [6]. Note that almost all equine MRSA isolates carry mecA while mecC has been rarely detected so far [6, 7]. From an epidemiological point of view, the prevalence of MRSA in horse infections has been poorly investigated in France [7, 10] and most importantly there is no data on nationwide molecular epidemiology. The aim of the study was then 1) to evaluate the prevalence of MRSA isolated from horse clinical samples recovered between 2007 and 2013 in France, and 2) to extensively characterize phenotypically and genotypically this large collection of equine MRSA strains.

Results

Prevalence of MRSA isolates

From 2007 to 2013, the laboratory received 226,878 horse clinical samples with the recovery of 17,651 different bacterial isolates. S. aureus was the third most frequent bacterial species isolated (n = 1393; 7.9%) after group C streptococcus (n = 4510; 25.6%) and Escherichia coli (n = 3481; 19.7%). Out of the 1393 S. aureus horse isolates, 85 (6.1%) were categorized as MRSA (Table 1). Interestingly, the prevalence of MRSA significantly increased from 2007–2009 to 2010–2013 (0.7 vs. 9.5%, P <0.0001) (Table 1). They were recovered from different sources of infection: skin and soft-tissue (n = 39), genital tract (n = 20), respiratory tract (n = 8), bone and joint (n = 8) and others (n = 10). Note that MRSA isolates were collected from 56 different stud farms located in 24 different French departments (1 to 24 strains by department), mainly representing the Northwestern parts of France (Fig. 1). This roughly corresponds to the actual geographical distribution of stud farms with a high number of them in Normandy. No isolate harboured pvl and tst toxin genes (data not shown).
Table 1

Prevalence of MRSA from 2007 to 2013

YearNo. of S. aureus No. of MRSA% MRSAType of infectiona % ST8/ST398b
SSTIGTIRTIBJIOthers
200716321.2%10010100/0
200819821.0%20000100/0
200919000.0%00000-
2010226156.6%10113053/47
2011253228.7%9721214/81
20121852412.9%13630340/52
20131782011.2%4623515/80
Total1393856.1%39208810

a SSTI skin and soft-tissue infection, GTI genital-tract infection, RTI respiratory-tract infection, BJI bone and joint infection

b ST sequence type

Fig. 1

Map of France representing the distribution of stud farms and the number of MRSA isolates recovered from horses by department. The figure was obtained using the online map tool available at www.lion1906.com/Pages/francais/utile/outils.html#

Prevalence of MRSA from 2007 to 2013 a SSTI skin and soft-tissue infection, GTI genital-tract infection, RTI respiratory-tract infection, BJI bone and joint infection b ST sequence type Map of France representing the distribution of stud farms and the number of MRSA isolates recovered from horses by department. The figure was obtained using the online map tool available at www.lion1906.com/Pages/francais/utile/outils.html#

Antimicrobial resistance profiles

Resistance to methicillin was associated with the presence of the mecA gene in 84 isolates (98.8%) while the mecC gene was detected in only one strain isolated in 2012 (1.2%) (Table 2). Note that this mecC-positive strain was susceptible to all other antibiotics (Table 2). A vast majority (83/85, 97.6%) were resistant to aminoglycosides with a KTG (kanamycin- tobramycin-gentamicin) phenotype, which was due to the presence of the aac(6′)-aph(2″) gene in all cases (Table 2). Concerning macrolide-lincosamide-streptogramin (MLS) antibiotics, 23 strains (27.1%) were resistant to erythromycin, most of them (20/23) being erm(C) positive with an inducible MLSB resistance (Table 2). Almost all strains were resistant to both tested tetracyclines due to the presence of tet(M) only (81/85, 95.3%) or both tet(M) and tet(K) genes (2/85, 2.3%) (Table 2). Some strains (24/85, 28.2%) were resistant to fluoroquinolones, including 16 (66.7%) harbouring mutations in gyrA and/or parC quinolone resistance-determining regions (QRDRs) and 8 (33.3%) with putative active efflux (Table 2). Some isolates were categorized as intermediate/resistant to rifampin (24/85, 28.2%), cotrimoxazole (30/85, 35.3%) and chloramphenicol (23/85, 27.1%) (Table 2). Finally, all strains remained susceptible to glycopeptides, linezolid and fusidic acid. Note that the vast majority of the strains (83/85, 97.6%) was multiply resistant to at least three different classes of antibiotics.
Table 2

Antimicrobial resistance profiles and acquired mechanisms of resistance of the 85 MRSA isolates

Antibiotypea Year of isolation (number of strains)Antimicrobial resistance phenotypeb,c,d Acquired resistance gene(s)Mutations in QRDR
gyrA parC
1 2012 (1)OXA mecC
2 2013 (1)OXA, TE, MI mecA, tet(M)
3 2011 (1)OXA, K, T, G, CIP mecA, aac(6′)-aph(2″) S84LS80F, E84K
4a 2010 (1), 2011 (2)OXA, K, T, G, CIP, TE, MI mecA, aac(6′)-aph(2″), tet(M)--
4b 2010 (1)OXA, K, T, G, CIP, TE, MI mecA, aac(6′)-aph(2″), tet(M), tet(K)--
5 2011 (2), 2012 (1)OXA, K, T, G, CIP, TE, MI mecA, aac(6′)-aph(2″), tet(M)S84LS80F
6 2010 (1)OXA, K, T, G, CIP, TE, MI, RA, SXT mecA, aac(6′)-aph(2″), tet(M)--
7 2012 (1)OXA, K, T, G, CIP, TE, MI, RA, SXT, C mecA, aac(6′)-aph(2″), tet(M)-S80F
8 2012 (1)OXA, K, T, G, CIP, TE, MI, SXT mecA, aac(6′)-aph(2″), tet(M)S84LS80F, E84D
9 2010 (1)OXA, K, T, G, CIP, TE, MI, RA, SXT mecA, aac(6′)-aph(2″), aph(3′)-IIIa, ant(4′)-Ia, tet(M)--
10 2013 (1)OXA, K, T, G, E(c), CIP, TE, MI, SXT mecA, aac(6′)-aph(2″), tet(M), erm(B)--
11 2013 (1)OXA, K, T, G, E(c), TE, MI, RA, SXT mecA, aac(6′)-aph(2″), tet(M), erm(C), msr(A)
12a 2012 (7), 2013 (2)OXA, K, T, G, E(i), CIP, TE, MI, RA, SXT, C mecA, aac(6′)-aph(2″), tet(M), erm(C)-S80F
12b 2013 (1)OXA, K, T, G, E(i), CIP, TE, MI, RA, SXT, C mecA, aac(6′)-aph(2″), tet(M), erm(C), msr(A)-S80F
13 2013 (1)OXA, K, T, G, E(i), TE, MI mecA, aac(6′)-aph(2″), tet(M), erm(C)
14 2007 (2), 2010 (1), 2011 (1)OXA, K, T, G, E(i), TE, MI, RA, SXT mecA, aac(6′)-aph(2″), tet(M), erm(C)
15 2008 (1)OXA, K, T, G, E(i), TE, MI, RA, SXT, C mecA, aac(6′)-aph(2″), tet(M), erm(C)
16 2010 (3), 2011 (1), 2012 (1)OXA, K, T, G, E(i), TE, MI, SXT mecA, aac(6′)-aph(2″), tet(M), erm(C)
17 2008 (1), 2011 (1)OXA, K, T, G, E(i), TE, MI, SXT, C mecA, aac(6′)-aph(2″), tet(M), erm(C)
18 2010 (1)OXA, K, T, G, E, CIP, TE, MI, RA mecA, aac(6′)-aph(2″), aph(3′)-IIIa, tet(M), msr(A)--
19a 2010 (2), 2011 (10), 2012 (11), 2013 (10)OXA, K, T, G, TE, MI mecA, aac(6′)-aph(2″), tet(M)
19b 2010 (1)OXA, K, T, G, TE, MI mecA, aac(6′)-aph(2″), ant(4′)-Ia, tet(M)
20a 2011 (1), 2012 (2), 2013 (2)OXA, K, T, G, TE, MI, C mecA, aac(6′)-aph(2″), tet(M)
20b 2013 (1)OXA, K, T, G, TE, MI, C mecA, aac(6′)-aph(2″), tet(M), tet(K)
21 2010 (1)OXA, K, T, G, TE, MI, RA mecA, aac(6′)-aph(2″), tet(M)
22 2010 (2)OXA, K, T, G, TE, MI, RA, C mecA, aac(6′)-aph(2″), tet(M)
23 2011 (1)OXA, K, T, G, TE, MI, RA, SXT mecA, aac(6′)-aph(2″), tet(M)
24 2012 (1)OXA, K, T, G, TE, MI, SXT mecA, aac(6′)-aph(2″), tet(M)

aStrains were classified according to their antimicrobial resistance phenotypes (1 to 24). Strains exhibiting identical antimicrobial resistance phenotypes but different genotypes were differentiated as 4a/4b, 12a/12b, 19a/19b, and 20a/20b

bResistance to: C chloramphenicol, E erythromycin, G gentamicin, K kanamycin, MI minocycline, OXA oxacillin, CIP ciprofloxacin, RA rifampin, SXT cotrimoxazole, TE tetracycline, T tobramycin

cE(i), inducible MLSB resistance phenotype; E(c), constitutive MLSB resistance phenotype

d CIP, fluoroquinolone resistance putatively due to an active efflux (≥2-fold decrease in MIC of ciprofloxacin in the presence of 10 μg/ml of reserpine)

Antimicrobial resistance profiles and acquired mechanisms of resistance of the 85 MRSA isolates aStrains were classified according to their antimicrobial resistance phenotypes (1 to 24). Strains exhibiting identical antimicrobial resistance phenotypes but different genotypes were differentiated as 4a/4b, 12a/12b, 19a/19b, and 20a/20b bResistance to: C chloramphenicol, E erythromycin, G gentamicin, K kanamycin, MI minocycline, OXA oxacillin, CIP ciprofloxacin, RA rifampin, SXT cotrimoxazole, TE tetracycline, T tobramycin cE(i), inducible MLSB resistance phenotype; E(c), constitutive MLSB resistance phenotype d CIP, fluoroquinolone resistance putatively due to an active efflux (≥2-fold decrease in MIC of ciprofloxacin in the presence of 10 μg/ml of reserpine)

Analysis of clonal populations

According to phenotypic and genotypic antimicrobial resistance profiles, 24 different profiles were distinguished (Table 2). MLST revealed that the majority of MRSA isolates belonged to two main STs: ST8 (28/85, 32.9%) and ST398 (53/85, 62.4%) (Table 3). Interestingly, all ST398 MRSA isolates were detected in 2010–13 (Tables 1 and 3). By SCC analysis, the SCC type IVd was identified in 27/28 (96.4%) ST8 isolates while the SCC type IVa found in 52/53 (98.1%) ST398 isolates (Table 3). The spa typing differentiated the MRSA collection into 15 distinct spa types. The spa types found among the ST8 strains were as follows: t064 (2/28, 7.1%), t394 (16/28, 57.1%), t451 (3/28, 10.7%), t13440 (6/28, 21.4%) and t5488 (1/28, 3.6%) (Table 3). Among ST398 strains, the spa type t011 was largely predominant (44/53, 83.0%) followed by t108 (1/53, 1.9%), t1255 (3/53, 5.7%), t899 (2/53, 3.8%), t1451 (1/53, 1.9%) and t2346 (2/53, 3.8%) (Table 3). The rep-PCR technique delineated 38 different clusters (using a similarity index of 98.38% as determined by the Diversilab software) with 66 isolates being grouped in ≥2-isolate clusters and 19 isolates corresponding to singletons (Fig. 1a and Fig. 2a). There was a good agreement between MLST and rep-PCR with the latter method being much more discriminative, especially within the ST398 cluster (Fig. 1b and Fig. 2b). Then, it was possible to distinguish some specific lineages related to certain geographical regions. In addition, rep-PCR had the advantage to dissect the genetic relatedness of ST398 clones since these isolates are not typeable by pulsed-filed gel electrophoresis (PFGE) using SmaI [11].
Table 3

Comparison of the results obtained by MLST, SCC analysis and spa typing for the 85 MRSA horse isolates

Year of isolationSequence type [ST] (no.) spa type (no.)SCCmec type (no.)
20078 (2)t394 (2)IVd (2)
20088 (2)t064 (1), t394 (1)IVd (2)
20108 (8)398 (7)t394 (1), t451 (3), t5488 (1), t13440 (3)t011 (7)II (1), IVd (7)IVa (6), V (1)
20115 (1)8 (3)398 (17)t777 (1)t394 (1), t13440 (2)t011 (14), t1255 (2), t2346 (1)VI (1)IVd (3)IVa (17)
20128 (10)254 (1)398 (13)1245a (1)t064 (1), t394 (8), t13440 (1)t009 (1)t011 (10), t899 (1), t1255 (1), t2346 (1)t6220 (1)IVd (10)ntb IVa (13)ntb
20138 (3)398 (16)612 (1)t394 (3)t011 (13), t108 (1), t899 (1), t1451 (1)t064 (1)IVd (3)IVa (16)IVd (1)

a mecC-positive strain

b nt not typeable

Fig. 2

Scatterplots derived from Diversilab data of the MRSA showing year of isolation (a) and ST type (b). The scale indicates the dissimilarity between strains for the X and Y axes. The graphs were obtained using the using R software and ggplot2 package

Comparison of the results obtained by MLST, SCC analysis and spa typing for the 85 MRSA horse isolates a mecC-positive strain b nt not typeable Scatterplots derived from Diversilab data of the MRSA showing year of isolation (a) and ST type (b). The scale indicates the dissimilarity between strains for the X and Y axes. The graphs were obtained using the using R software and ggplot2 package

Discussion

In this study, we have showed that the prevalence of MRSA strains isolated from horse infections before 2011 was low (~2%) in France, with ST8 being predominant during this period. The prevalence has since increased from 2011 to reach about 10%, and ST398 has become the predominant MRSA lineage. These data on MRSA prevalence in equine infections are in agreement with those observed in other European veterinary hospitals: 22% in Switzerland [12] and 19% in Germany [13]. However, it is important to note that MRSA isolates in our study were recovered in stud farms and not in veterinary hospitals. Indeed, the lower prevalence in France observed in our study may be explained by the fact that these samples are from stud farms that are exposed to different environmental conditions and risk factors as compared to veterinary hospitals. Although horses were generally hosted in French stud farms geographically distant, these results suggest a national diffusion of clonally related MRSA ST8 and ST398 isolates. The mecA-carrying ST8 and ST398 have been reported as the major strains that infected or colonized horses [13, 14]. Colonization and infection of horses in the USA and Canada generally involve ST8-type MRSA isolates, classified by PFGE as Canadian MRSA-5 or USA500 [6]. ST8 is infrequently found in humans and is among STs isolated from horses of the clonal complex (CC) 8. ST8-type MRSA has also been recently isolated in Australian horses [15]. In France, only one molecular study has been performed on MRSA isolated in horses [10]. In this study, only three MRSA were identified among 59 S. aureus equine isolates and all belonged to the ST8 [10]. ST398-type MRSA is a non-CC8 clone initially report in France in pigs [6], which is currently spreading in horse clinics in Europe and North America [10, 12, 16]. Even if it is characteristically resistant to tetracyclines, this emerging ST is generally susceptible to other antibiotics, which was quite different from what we observed in our study. Indeed, we found that 52 out of 53 (98.1%) ST398 strains were multiply resistant to at least three classes of antibiotics. Even though multidrug resistance in MRSA is de facto defined as MDR [17], it is important to highlight the very high proportion (97.6%) of strains exhibiting resistant to three-to-eight antimicrobial categories. Although ST398 is associated with livestock, sporadic cases, and outbreaks in equine hospitals, colonization of horses and associated personnel have been reported in Europe [6, 11, 18, 19]. Recently, a suspected transmission of MRSA ST398 from a horse to a Dutch girl, which resulted in a foot infection, has been reported [20]. Among other STs, ST612, which belong to the CC8, was recently described in horses and seems to be strongly associated with equine practice veterinarians [21] while ST5, described in pets, swine and poultry [6], was recently reported in horses in Japan [22]. Finally, some authors have recently characterized in animal MRSA isolates belonging to CC130 (ST1245), the most prevalent CC among mecC-positive strains [7, 23, 24].

Conclusions

In conclusion, this first epidemiological survey conducted in France has shown an increase in the prevalence of MRSA isolates associated with horse infections since 2010 in stud farms, which is in part related to the emergence of clonally-related ST398 MRSA isolates. Since this new ST398 type is known to cause outbreaks in horses and to colonize/infect humans, hygiene measures and appropriate antimicrobial use should be maintained and reinforced in order to limit the transmission of S. aureus between horses as well as between horses and humans.

Methods

Bacterial isolates and antimicrobial susceptibility testing

The regional veterinary laboratory of Normandy (LABÉO) is specialized in the analysis of specimens from infected horses and receives clinical samples from numerous stud farms located in various regions of France. From January 2007 to December 2013, all non-duplicate clinical isolates of S. aureus were prospectively studied. Over this period, all MRSA horse isolates were further characterized. Species-level identification was performed using the MALDI-TOF mass spectrometry technology (Microflex; Bruker Daltonics, Bremen, France) and, if necessary, by amplification of the S. aureus-specific nuc gene, as previously described [24]. Methicillin resistance was confirmed by the detection of both mecA and mecC genes, as previously described [5, 25, 26]. Antimicrobial susceptibility testing was performed using the agar diffusion method, as recommended by the Antibiogram Committee of the French Society for Microbiology (www.sfm-microbiologie.org/). The following antibiotics were tested: oxacillin, kanamycin, tobramycin, gentamicin, erythromycin, clindamycin, pristinamycin, ciprofloxacin, vancomycin, teicoplanin, linezolid, tetracycline, minocycline, rifampin, cotrimoxazole, chloramphenicol and fusidic acid. A double-disc diffusion test (D-test) was used to detect the inducible MLSB resistance phenotype.

PCR and molecular typing

Genes conferring resistance to MLS [erm(A), erm(B), erm(C), and msr(A)], aminoglycosides [aph(3′)-IIIa, ant(4′)-Ia, and aac(6′)-aph(2″)] and tetracyclines [tet(M) and tet(K)] were screened by PCR, as previously described [27-29]. Mechanisms of fluoroquinolone resistance were studied by sequencing QRDRs of gyrA and parC genes [30] and by determining MICs of ciprofloxacin with or without reserpin (10 μg/ml). Both pvl and tst genes coding for Panton-Valentine leukocidin (PVL) and toxic shock staphylococcal toxin (TSST-1), respectively, were screened by PCR as previously described [31-33]. For molecular typing, four different techniques were used for all the strains. The MLST was performed as previously described [34] using the MLST database (http://saureus.mlst.net/). The spa typing was carried out as previously described [35] using the Ridom StaphType software (Ridom GmbH, Würzburg, Germany). The typing of staphylococcal cassette chromosome mec element (SCCmec) was performed according to mec and ccr complexes previously defined [36]. Genetic relatedness was determined by rep-PCR using the semi-automated Diversilab system (bioMérieux, Marcy l’étoile, France) [14, 37].

Statistical analysis

The Fisher’s exact test was used to compare categorical variables. P values <0.05 were considered to be statistically significant. All tests were 2 tailed. Statistical tests were performed using GraphPad Prism, version 6.
  37 in total

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Journal:  BMC Microbiol       Date:  2019-02-26       Impact factor: 3.605

6.  Evolution of In Vitro Antimicrobial Susceptibility of Equine Clinical Isolates in France between 2016 and 2019.

Authors:  Albertine Léon; Sophie Castagnet; Karine Maillard; Romain Paillot; Jean-Christophe Giard
Journal:  Animals (Basel)       Date:  2020-05-07       Impact factor: 2.752

7.  Staphylococcus aureus in Intensive Pig Production in South Africa: Antibiotic Resistance, Virulence Determinants, and Clonality.

Authors:  Ncomeka Sineke; Jonathan Asante; Daniel Gyamfi Amoako; Akebe Luther King Abia; Keith Perrett; Linda A Bester; Sabiha Y Essack
Journal:  Pathogens       Date:  2021-03-08

8.  Analysis of Virulence and Antimicrobial Resistance Gene Carriage in Staphylococcus aureus Infections in Equids Using Whole-Genome Sequencing.

Authors:  Sara V Little; Andrew E Hillhouse; Sara D Lawhon; Laura K Bryan
Journal:  mSphere       Date:  2021-08-04       Impact factor: 4.389

  8 in total

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