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Antimicrobial resistance and genomic analysis of staphylococci isolated from livestock and farm attendants in Northern Ghana

BMC Microbiology volume 22, Article number: 180 (2022) Cite this article

Abstract

Background

The emergence of antimicrobial resistant bacteria in food producing animals is of growing concern to food safety and health. Staphylococci are common inhabitants of skin and mucous membranes in humans and animals. Infections involving antibiotic resistant staphylococci are associated with increased morbidity and mortality, with notable economic consequences. Livestock farms may enable cross-species transfer of antibiotic resistant staphylococci. The aim of the study was to investigate antimicrobial resistance patterns of staphylococci isolated from livestock and farm attendants in Northern Ghana using phenotypic and genotypic methods. Antimicrobial susceptibility testing was performed on staphylococci recovered from livestock and farm attendants and isolates resistant to cefoxitin were investigated using whole genome sequencing.

Results

One hundred and fifty-two staphylococci comprising S. sciuri (80%; n = 121), S. simulans (5%; n = 8), S. epidermidis (4%; n = 6), S. chromogens (3%; n = 4), S. aureus (2%; n = 3), S. haemolyticus (1%; n = 2), S. xylosus (1%; n = 2), S. cohnii (1%; n = 2), S. condimenti (1%; n = 2), S. hominis (1%; n = 1) and S. arlettae (1%; n = 1) were identified. The isolates showed resistance to penicillin (89%; n = 135), clindamycin (67%; n = 102), cefoxitin (19%; n = 29), tetracycline (15%; n = 22) and erythromycin (11%; n = 16) but showed high susceptibility to gentamicin (96%; n = 146), sulphamethoxazole/trimethoprim (98%; n = 149) and rifampicin (99%; n = 151). All staphylococci were susceptible to linezolid and amikacin. Carriage of multiple resistance genes was common among the staphylococcal isolates. Genome sequencing of methicillin (cefoxitin) resistant staphylococci (MRS) isolates revealed majority of S. sciuri (93%, n = 27) carrying mecA1 (which encodes for beta-lactam resistance) and the sal(A) gene, responsible for resistance to lincosamide and streptogramin. Most of the MRS isolates were recovered from livestock.

Conclusion

The study provides insights into the genomic content of MRS from farm attendants and livestock in Ghana and highlights the importance of using whole-genome sequencing to investigate such opportunistic pathogens. The finding of multi-drug resistant staphylococci such as S. sciuri carrying multiple resistant genes is of public health concern as they could pose a challenge for treatment of life-threatening infections that they may cause.

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Background

Staphylococci are the most common bacteria found on the skin and mucous membranes of mammals [1]. Bacteria of this genus are usually commensal organisms and can be divided into two groups based on their ability to produce the enzyme coagulase [2]. Pathogenic infections may result from colonization with staphylococci if primary skin barriers are compromised due to trauma [3]. Among the species producing coagulase, Staphylococcus aureus is of primary importance to human and animal health. S. aureus is a notable cause of mastitis in livestock and has been associated with bacteremia, skin and soft tissue infections in humans [4, 5].

The less pathogenic group of coagulase negative staphylococci (CoNS) have garnered interest in recent times due to their increasing role in the occurrence of opportunistic infections [6]. CoNS-related infections in humans have been associated with the presence of foreign bodies and immunosuppressive states of patients [7]. Staphylococcus epidermidis falls within the category of CoNS and is the most common cause of foreign body related blood stream infections in humans [8]. S. epidermidis and S. chromogens have been isolated in subclinical and clinical mastitis cases in cattle [9]. CoNS are known carriers of transferable genetic elements that contribute to the survival of some strains of S. aureus and are often cited as reservoirs of resistance genes [10].

The emergence of antimicrobial resistance (AMR) in staphylococci, though partly dependent on innate microbial characteristics, is mainly driven by antimicrobial use [11, 12] S. aureus are known to adapt and gain resistance to nearly all antibiotics used to treat it. Concurrent resistance to non-β-lactam agents such as quinolones, tetracyclines, aminoglycosides, macrolides and lincosamides are increasingly reported among methicillin resistant strains of staphylococci, further diminishing the treatment options available for infected humans or animals [13]. Methicillin resistance is attributed to the production of a transpeptidase (PBP2a), encoded by the mecA gene within the staphylococcal cassette chromosome [14]. Methicillin resistant S. aureus (MRSA) infections often result in increased morbidity and an increase in health care associated costs [15].

Mounting evidence suggests that the development of resistance in commensal pathogens of livestock origin contribute to the persistence of carriage of these resistant organisms in humans. Antimicrobials are used routinely in livestock production and its misuse in livestock farming often leads to emergence of resistance due to selective pressure on microbes like staphylococci exposed to antibiotics [16]. Colonized livestock may spread resistant strains directly to humans or indirectly through the food chain [17]. The detection of MRSA in humans that have been linked to animals has heightened concerns of its ability to be transferred among species [18]. Livestock farmers, veterinarians, wool sorters, meat hygiene inspectors and people who frequently visit livestock farms have been found to be at increased risk for MRSA colonization [19].

The presence of multidrug resistant strains of staphylococci in livestock have implications for food safety and contribute to the global challenge of AMR [20]. Knowledge on carriage rates of resistant strains of CoNS in livestock is scarce in Ghana; such information is necessary to inform antimicrobial policies and improve integrated surveillance on antimicrobial resistance. Findings from antimicrobial susceptibility testing of bacteria species such as CoNS offer vital information for surveillance but are limited when it comes detection of clones, resistance and virulence of bacteria pathogens. Genomic sequencing on the other hand, provides massive information for characterizing bacteria species [21] including staphylococci. This study therefore sought to characterize staphylococci recovered from livestock and farm attendants in the Northern part of Ghana using phenotypic and genotypic methods.

Results

Farm attendant characteristics

Majority of the farm attendants were male (89%). The age of farm attendants ranged from 14 to 58 years. Daily participation in livestock rearing activities such as feeding, grazing and handling was reported by all 19 respondents. Most of the livestock attendants worked primarily on only one type of livestock (84%). Three attendants worked with more than one livestock type. Most of the farm attendants lived on the farm (83%) and had been working on the farm for at least eight years (78%).

Nasal carriage of staphylococci

Of the 311 nasal swabs collected from livestock and 19 samples collected from farm attendants, 152 staphylococcal isolates were recovered. Staphylococci were obtained in close to half of livestock samples (45%; n = 141) and in most farm attendant samples (58%; n = 11). Most of the isolates (98%; n = 149) were CoNS, with three isolates (2%) identified as S. aureus. Ten different CoNS species were confirmed, with S. sciuri being the most prevalent (80%; n = 121). Others include S. simulans (5%; n = 8), S. epidermidis (4%; n = 6), S. chromogens (3%; n = 4), S. haemolyticus (1%; n = 2), S. xylosus (1%; n = 2) S. cohnii (1%; n = 2), S. condimenti (1%; n = 2), S. hominis (1%; n

 = 1) and S. arlettae (1%; n = 1).

S. sciuri was found in nasal swabs from all livestock types in this study. S. epidermidis was isolated only from nasal swabs obtained from farm attendants. S. haemolyticus was isolated from human and sheep samples. S. condimenti was found only in pigs, whilst S. hominis and S. arlettae were isolated only in sheep. Six different species of staphylococci were found in samples from goats and consisted of S. sciuri, S. simulans, S. aureus, S. xylosus, S. chromogens and S. cohnii (Table 1).

Table 1 Nasal carriage of Staphylococci among farm attendants and livestock, 2018
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Antimicrobial resistance in staphylococcal isolates

Isolates from farm attendants were mainly resistant to penicillin (100%; n = 11), tetracycline (55%; n = 6), cefoxitin (27%; n = 3), clindamycin (36%; n = 4), sulphamethoxazole/trimethoprim (27%; n = 3), erythromycin (18%; n = 2) and gentamycin (18%; n = 2). All staphylococcal isolates from farm attendants were susceptible to linezolid, amikacin and rifampicin. Isolates obtained from livestock were mainly resistant to penicillin (88%; n = 124), clindamycin (70%; n = 98), cefoxitin (18%; n = 26), tetracycline (11%; n = 16) and erythromycin (10%; n = 14) (Table 2). Among isolates from livestock, resistance to gentamicin and rifampicin was less prevalent (3%; n = 4 and 1%; n = 1). All cefoxitin resistant isolates (19%; n = 29) were susceptible to vancomycin.

Table 2 Antimicrobial resistance of staphylococci isolated from livestock and farm attendants, 2018
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The predominant isolates detected, S. sciuri were resistant to 6 out of 10 antimicrobials agents tested in all: penicillin (94%; n = 114), clindamycin (80%; n = 97), cefoxitin (22%; n = 27), tetracycline (8%; n = 10), erythromycin (8%; n = 10) and gentamicin (2%; n = 3). S. epidermidis isolates were resistant to seven out of 10 antimicrobials with a single isolate exhibiting resistance to six antibiotic agents. Half (50%; n = 3) of S. epidermidis isolates were resistant to sulphamethoxazole/trimethoprim. Although low numbers of S. xylosus isolates were identified, resistance was detected to five out of 10 antibiotics (penicillin, clindamycin, tetracycline, erythromycin and rifampicin). S. aureus isolates recovered were resistant to penicillin, tetracycline and erythromycin. S. chromogens and S. cohnii were susceptible to all tested antibiotic agents except penicillin (Table 3).

Table 3 Pattern of antimicrobial resistance of staphylococcal isolates, 2018
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Of the 152 staphylococci isolated, 49 (32%) were MDR. Overall, MDR rates were higher in farm attendants (45%; n = 5) than in livestock (31%; n = 44).

Genomic analysis of cefoxitin resistant staphylococci

Whole-genome sequencing of the cefoxitin-resistant isolates revealed that all S. sciuri possessed mecA1 gene, while S. epidermidis and S. haemolyticus harbored mecA gene. Tetracycline resistance genes detected were: tet(K) (10%, n = 3), tet(L) (3%, n = 1) and tet(M) (3%, n = 1). The tet(K) genes detected were from two goats and one sheep while tet(M) and tet(L) were detected in an isolate from one farm attendant. Chloramphenicol resistance gene cat(pC221) was observed in one S. sciuri isolate. sal(A) gene responsible for resistance to lincosamide and streptogramin antibiotics was observed in 93% (n = 27) of S. sciuri isolates. Genes responsible for aminoglycoside (aadD), folate pathway (dfrK; dfrG), lincosamide and macrolide (erm(B)), fosfomycin (fosB) and tetracycline (tet(K), tet(M), tet(L)) resistance were detected in one S. epidermidis. Aminoglycoside-resistance gene aac(6')-aph(2''), folate pathway antagonistic gene dfrG, and beta-lactam gene blaZ were detected in the S. haemolyticus.

In this study, seven plasmid sequences (rep13, rep7a, rep16, rep22, repUS76, rep19, and rep20) were observed in 24% (n = 7) of the isolates with rep7a (n = 4) predominating. Three of these plasmids (rep16, rep22, repUS76) were detected in an S. epidermidis isolate which also harbored the insertion sequence ISSep2. The S. epidermidis and S. haemolyticus isolates belonged to sequence types 226 and 30 respectively. All S. sciuri isolates appear to be novel with unknown sequence types. Core single nucleotide polymorphism (SNP) maximum likelihood tree of the 29 cefoxitin resistant isolates revealed 2 distinct clades. Both clades showed clustering of isolates from all sources. Comparative genomic analysis of the S. sciuri isolates obtained from the farm attendants and livestock demonstrated clustering and high-level genetic homogeneity (> 95%), suggesting possible transmissions between hosts (Fig. 1). The complete genome sequences have been deposited at Gene Bank with the following accession numbers: JALGXD000000000-JALGPD000000000.

Fig. 1
figure 1

Core Maximum likelihood phylogeny of the Methicillin-Resistant Staphylococci (MRS) isolates (2018). The phylogenetic tree was constructed using CSI-Phylogeny based on core genome SNPs extracted from alignment to reference strain LS483305.1 and visualised using Interactive Tree of Life (iTOL). SS: Staphylococcus sciuri, SE: Staphylococcus epidermidis SH: Staphylococcus haemolyticus

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Discussion

The findings of this study show that multidrug-resistant staphylococci are prevalent in livestock and farm attendants on the farms sampled. The detection of S. sciuri, S. aureus, S. xylosus, S. simulans, S. chromogens, S. cohnii, S. hominis, S. arlettae and S. condimenti are consistent with previous reports on prevalence of CoNS in livestock [22, 23]. S. sciuri was the most prevalent staphylococci identified in this study (80%) and was isolated in both livestock and farm attendants. Primarily considered a livestock-associated bacterium, S. sciuri can be found in large numbers in the farm environment [22]. Though the colonizing population may be low outside the farm environment, they are found to readily adapt and persist in health care settings and thus may pose a threat to human health [23]. S. sciuri has been associated with pneumonia and septicemic shock in Grasscutter (Thryonomys swinderianus) in Ghana [24]. This pathogen was detected in China as the causative organism for endocarditis [25] and in Thailand, as the agent in a food poisoning outbreak investigation [26].

S. aureus was detected in samples from three goats and none contained the mecA gene (MRSA). This is in sharp contrast with reports from other geographic areas [9]. Of note, the CoNS that were resistant to cefoxitin and also positive for mecA1 in this study originated from livestock. Previous studies in Ghana however, found MRSA among farm attendants and none from livestock [27]. MRSA may be more prevalent in intensive farming systems where antimicrobials are used in the production chain more frequently, and in hospital settings due to selective pressure of bacteria in these environments and their presence in colonized inpatients [28]. S. epidermidis, S. haemolyticus, and S. xylosus were frequently detected in samples from farm attendants. This concurs with previous reports that identified S. epidermidis as the most frequently occurring CoNS found on skin and mucosae in humans [1]. S. epidermidis and S. haemolyticus have increasingly been associated with nosocomial infections and are described to be highly adaptable to medical devices hence the need to monitor carriage rates in humans [29].

The level of resistance of staphylococci to critically needed antimicrobial agents is a growing public health concern. The overall prevalence of MDR was 32%, with higher rates observed for farm attendants. The high rate of resistance to penicillin observed in this study is consistent with previous reports on staphylococci from both clinical and non-clinical samples in Ghana [27, 30,31,32,33,34] and elsewhere [35, 36] thus, was expected.

The proportion of isolates resistant to tetracycline was higher in isolates from farm attendants (55%) as compared to livestock (11%), and this is in concordance with the rates of tetracycline resistance in staphylococci. More than half of CoNS from livestock attendants (S. epidermidis, S. haemolyticus) were tetracycline resistant. Tetracycline resistance in all livestock in this study was lower (11%) than was reported in S. aureus isolates recovered from livestock (47%) in a previous study in Ghana [27] and from chicken droppings (74%) elsewhere [37]. This observation can be attributed to the frequency of its use in the various farming systems. Tetracycline and its derivatives are often used as part of feed for growth promotion and prophylaxis in intensive poultry farming. Though its use in livestock is widespread, oral preparations are not common.

Resistance to sulphamethoxazole/trimethoprim (STX) was found in S. epidermidis, from three farm attendants. STX has been used in the treatment of infections caused by community-acquired S. aureus; resistance to this agent among methicillin resistance strains may point to a reduction in its efficacy due to exposure [38]. High susceptibility of isolates to vancomycin, linezolid, amikacin, rifampicin and gentamicin is crucial for the treatment of severe infections in humans. A notable example is the use of vancomycin for the treatment of MRSA infections [39].

Phylogenetic analysis of MRS isolates showed close genetic relatedness between isolates recovered from humans and livestock, suggesting that these pathogens may not be host-specific. The observation could also reflect possible transmission between the different hosts.

The mec variants (mecA and mecA1) found in the MRS have been linked to resistance to beta-lactam antibiotics in staphylococci [40]. Several studies have pointed to mecA1 detected in S. sciuri as an evolutionary ancestor of the mecA gene found in MRSA [40,41,42]. mecA1 gene is naturally adapted to S. sciuri; resistance to beta-lactams due to changes in the promoter region of this gene have been reported [40, 43].

The high levels of resistance to clindamycin among the isolates can be linked to the sal(A) gene detected in majority of the S. sciuri (93%) isolates. sal(A) is located between two housekeeping genes of the core genome of S. sciuri subspecies; it encodes for resistance to lincosamide and streptogramin antibiotics [44].

The plasmids detected in this study harbored antibiotic resistance genes. Many resistance determinants are plasmid-mediated, and this has been demonstrated in previous studies on staphylococci [45]. Horizontal transfer of plasmids can occur among staphylococcal strains of different species although data on plasmid distribution in staphylococci are scarce [10, 46]. In this study, seven different plasmid sequences were detected based on the sequences of their rep genes. The most prevalent sequence was rep7a, which is similar to studies conducted by Strasheim et al., in which rep7a was detected as one of the most dominant rep genes in S. aureus isolates [47].

Co-occurrence of rep7a plasmid with tet(K) gene was observed in three isolates. Similarly, the occurrence of rep7a plasmid with cat(pC221) was observed in one isolate. This is consistent with reports of strong association between this plasmid, tetracycline and chloramphenicol resistance [48, 49]. Tetracycline resistance genes: tet(K), (M) and (L) have been reported among staphylococci recovered from clinical and non-clinical samples in African countries including Ghana [27, 33, 35, 50] suggesting that these genes are widely disseminated in these regions.

The potential risks of transfer of plasmid-borne AMR genes from S. sciuri to other Staphylococcus species was previously reported by Li et al., [51] pointing to the need to routinely monitor AMR gene carriage on plasmids in coagulase negative staphylococci. The presence of AMR genes borne on plasmids in CoNS isolated supports the evidence that CoNS may serve as reservoirs for the spread of AMR [10]. Dissemination of plasmids carrying multiple resistance genes will substantially limit the efficacy of antibiotic agents and urgently warrants surveillance of staphylococci from animal and human sources. Previous studies have shown that plasmid sequence associated with rep16 and rep20 was prevalent in clinical S. aureus and S. haemolyticus isolates [52]. rep13, rep16, rep19 rep22 and rep20 have also been detected in S. aureus isolates from different geographic regions with rep16 carrying multiple resistance genes [53, 54]. To the best of our knowledge, the co-occurrence of erm(B), dfrK, aadD resistance genes and replicon plasmids rep16, rep22, repUS76 in ST 226 S. epidermidis has not been reported from farm attendants in previous studies in Ghana. Interestingly, ST 226 S. epidermidis was detected in a blood sample of a neonate in Ghana and from hospital and community settings in China [55, 56]; on the other hand, ST30 S. haemolyticus found in this study, has also been detected in blood stream and catheter related infections from India, often showing vancomycin heteroresistance [57, 58] thus, confirming invasive characteristics of these CoNS clones.

Conclusion

The study provides insights into the genomic content of MRS from farm attendants and livestock in Ghana and therefore highlights the importance of using whole-genome sequencing to investigate such opportunistic pathogens. CoNS may serve as reservoirs for transmission of resistant genes to S. aureus at the farm level among livestock and farm attendants. The finding of multi-drug resistant CoNS including S. sciuri carrying multiple resistant genes is of public health concern as they could pose a challenge for treatment of life-threatening infections that they may cause.

Materials and methods

Study sites and sample collection

The Northern region is a major hub for livestock production in Ghana, consisting of numerous smallholder and pastoral farming systems [59]. Samples were collected in July 2018 from one multi-species livestock breeding station and four livestock farms in the Northern region of Ghana (Fig. 2). The Livestock breeding station was selected purposively due to its role in the livestock supply chain in the Northern region. The four farms were selected randomly from 2 districts in the region which were integrated with households in four communities. Nasal swabs were obtained from three hundred and eleven (311) livestock and nineteen (19) farm attendants. Livestock on selected farms were selected randomly within their pens or sheds making sure to collect samples from at least five pens on farms with more than five pens. On farms with very few pens (≤ 5) samples were collected from at least three pens.

Fig. 2
figure 2

Location of selected livestock farms in the Northern Region of Ghana (2018)

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All nasal swabs were placed in 10 ml of Mueller–Hinton broth (Oxoid Ltd., Basingstoke, UK), supplemented with 6.5% NaCl in sterile tubes and labeled. Samples were immediately transported on ice to the laboratory for testing. Data on demographic characteristics for each livestock attendant was collected using a semi-structured questionnaire.

Identification of S. aureus and Coagulase Negative Staphylococci

Pre-enrichment was carried out by incubating samples in Mueller–Hinton broth with 6.5% NaCl for 48 h at 37 °C. A volume of 10 µl of each sample was then plated on Mannitol salt agar and incubated for 48 h at 37 °C. Based on the colony morphology and ability to ferment mannitol, presumptive colonies were streaked on 5% sheep blood agar (Oxoid Ltd., Basingstoke, UK), and incubated for 24 h at 37 °C. Identification of staphylococci was achieved by using the matrix- assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) instrument. Briefly, the procedure for MALDI-TOF MS involved spreading well isolated colonies from overnight cultures on a steel target plate. This film is then overlaid with 1 µl of formic acid and allowed to dry for 15 min. 1 µl of matrix preparation containing cyano-4- hydroxy-cinnamic acid in 50% acetonitrile with 2.5% trifluoroacetic acid was placed on each sample and left to dry for a further 15 min. MALDI-TOF MS was then conducted and Ionization peaks generated were matched against the integrated reference library for speciation of the bacteria [60, 61].

Antimicrobial susceptibility testing of staphylococci

Antimicrobial susceptibility testing was performed using Kirby Bauer’s disk diffusion method with 10 antimicrobial agents: (cefoxitin (30 µg), amikacin (30 µg), penicillin (1 unit), rifampicin (5 µg), clindamycin (2 µg), erythromycin (15 µg), gentamycin (10 µg), sulphamethoxazole/trimethoprim (25 µg), tetracycline (30 µg), linezolid (10 µg). The measured diameters of the zones of inhibition were interpreted according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST) guidelines [62]. The minimum inhibitory concentration of cefoxitin-resistant isolate was done using vancomycin using E- test strips (bioMerieux) and interpreted based on EUCAST guidelines. Multidrug resistance was defined as resistance to three or more antimicrobial agents [63].

Whole-genome sequencing and Analysis

Whole-genome sequencing was performed on all cefoxitin-resistant isolates using the illumina Miseq platform. DNA of freshly cultured isolates was extracted using Qiagen DNA MiniAmp kit following the manufacturer’s instructions. Extracted DNA was quantified using Qubit 4.0 Fluorometer assay kit (Thermo Fisher Scientific, MA), followed by library preparation with illumina DNA prep following the manufacturer’s instructions. The quality and concentration of fragmented DNA were assessed with the 2100 bioanalyzer system (Agilent) and qPCR (Kapa Sybr Fast qPCR kit) respectively. Libraries were then pooled and loaded on illumina 2 × 300 cycle cartridge for sequencing on Miseq platform (Illumina Inc., San Diego, CA).

Raw sequenced reads were quality filtered and trimmed using FASTQC (http://www.bioinformaticsbabraham.ac.uk/projects/fastqc/) and Trimmomatic ( http://www.usadellab.org/cms/index.php?page=trimmomatic) respectively with a minimum quality set at Q20 [64, 65]. Trimmed reads were de-novo assembled with Unicycler V0.4.9 from which only contigs greater than 200 bp were used for further analysis.

Assembled files were uploaded to Resfinder (https://cge.cbs.dtu.dk/services/ResFinder/), a tool available on Center for Genomic Epidemiology platform to detect resistance genes present in the sequenced isolates using an identity threshold of 90% and a minimum length of 60%. Plasmids and mobile genetic elements were predicted using Plasmidfinder (https://cge.cbs.dtu.dk/services/PlasmidFinder/) and MGEfinder (https://cge.cbs.dtu.dk/services/MobileElementFinder/) respectively. The sequence types of the isolates were predicted using MLSTFinder (https://cge.cbs.dtu.dk/services/MLST/).

Assembled sequences were mapped to a reference genome (GenBank accession number LS483305.1) and a core maximum likelihood phylogenetic tree was constructed using CSI phylogeny tool on Center for Genomic Epidemiology (CGE). Analysis was performed with default parameters. The resultant tree was annotated in the Interactive Tree of Life (iTOL) [66].

Availability of data and materials

The data sets used during the current study are available from the corresponding author on reasonable request.

Abbreviations

AMR:

Antimicrobial Resistance

CoNS:

Coagulase Negative Staphylococci

EUCAST:

European Committee on Antimicrobial Susceptibility Testing

MRSA:

Methicillin resistant staphylococcus aureus

MALDI-TOF MS:

Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry

MDR:

Multi-drug resistance

MRS:

Methicillin Resistant Staphylococcus

References

  1. Otto M. Staphylococcus colonization of the skin and antimicrobial peptides. Expert Review of Dermatology. 2010;5:183–95.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Winn W, Allen S, Janda W, Koneman E, Procop G, Schreckenberger P, et al. Isolation of Pathogenic Gram-Negative Bacteria from Urinary Tract Infected Patients [Internet]. 2006 [cited 2022 Mar 15]. Available from: https://www.scirp.org/(S(oyulxb452alnt1aej1nfow45))/reference/ReferencesPapers.aspx?ReferenceID=1787397.

  3. Cunha MLRS, Calsolari RA. Toxigenicity in Staphylococcus aureus and coagulase-negative staphylococci: epidemiological and molecular aspects. Microbiol Insights. 2008;1:MBI–S796.

  4. Tong SYC, Davis JS, Eichenberger E, Holland TL, Fowler VG. Staphylococcus aureus infections: Epidemiology, pathophysiology, clinical manifestations, and management. Clin Microbiol Rev. 2015;28(3):603–61.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Fluit AC. Livestock-associated Staphylococcus aureus. Clin Microbiol Infect. 2012;18:735–44.

    Article  PubMed  CAS  Google Scholar 

  6. Heilmann C, Ziebuhr W, Becker K. Are coagulase-negative staphylococci virulent? Clin Microbiol Infect. 2019;25:1071–80.

    Article  PubMed  CAS  Google Scholar 

  7. Von Eiff C, Arciola CR, Montanaro L, Becker K, Campoccia D. Emerging Staphylococcus species as new pathogens in implant infections. 2006.

    Book  Google Scholar 

  8. Sievert DM, Ricks P, Edwards JR, Schneider A, Patel J, Srinivasan A, et al. Antimicrobial-Resistant Pathogens Associated with Healthcare-Associated Infections Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2009–2010. Infection Control & Hospital Epidemiology. 2013;34(1):1–14. Available from: https://www.cambridge.org/core/product/identifier/S0195941700031921/type/journal_article.

  9. Klimešová M, Manga I, Nejeschlebová L, Horáček J, Ponížil A, Vondrušková E. Occurrence of Staphylococcus aureus in cattle, sheep, goat, and pig rearing in the Czech Republic. Acta Vet Brno. 2017;86(1):3–10.

    Article  Google Scholar 

  10. Otto M. Coagulase-negative staphylococci as reservoirs of genes facilitating MRSA infection: Staphylococcal commensal species such as Staphylococcus epidermidis are being recognized as important sources of genes promoting MRSA colonization and virulence. BioEssays. 2013;35(1):4–11.

    Article  PubMed  CAS  Google Scholar 

  11. Founou RC, Founou LL, Essack SY. Clinical and economic impact of antibiotic resistance in developing countries: A systematic review and meta-analysis, vol. 12. PLoS ONE: Public Library of Science; 2017.

    Google Scholar 

  12. WHO. Global Strategy for Containment of Antimicrobial Resistance. 2001.

    Google Scholar 

  13. Gilani M, Usman J, Latif M, Munir T, Gill MM, Anjum R. Methicillin resistant coagulase negative Staphylococcus: from colonizer to a pathogen. 2016.

    Google Scholar 

  14. Stryjewski ME, Corey GR. Methicillin-resistant staphylococcus aureus: An evolving pathogen. Clin Infect Dis. 2014;58(suppl_1):S10–9.

  15. Goetghebeur M, Landry PA, Han D, Vicente C. Methicillin-resistant Staphylococcus aureus: A public health issue with economic consequences. 2006.

    Google Scholar 

  16. Catry B, Laevens H, Devriese LA, Opsomer G, de Kruif A. Antimicrobial resistance in livestock. 2003.

    Book  Google Scholar 

  17. Köck R, Schaumburg F, Mellmann A, Köksal M, Jurke A, Becker K, et al. Livestock-Associated Methicillin-Resistant Staphylococcus aureus (MRSA) as Causes of Human Infection and Colonization in Germany. PLoS ONE. 2013;8(2):e55040.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  18. Crombé F, Argudfn MA, Vanderhaeghen W, Hermans K, Haesebrouck F, Butaye P. Transmission dynamics of methicillin-resistant Staphylococcus aureus in pigs. Front Microbiol. 2013;4:57.

  19. Morgan M. Methicillin-resistant Staphylococcus aureus and animals: Zoonosis or humanosis? J Antimicrob Chemother. 2008;62:1181–7.

    Article  PubMed  CAS  Google Scholar 

  20. Kadariya J, Smith TC, Thapaliya D. Staphylococcus aureus and Staphylococcal Food-Borne Disease: An Ongoing Challenge in Public Health, vol. 2014. BioMed Research International: Hindawi Publishing Corporation; 2014.

    Google Scholar 

  21. WHO. GLASS Whole-genome sequencing for surveillance of antimicrobial resistance Global Antimicrobial Resistance and Use Surveillance System (GLASS). 2020.

    Google Scholar 

  22. Piessens V, van Coillie E, Verbist B, Supré K, Braem G, van Nuffel A, et al. Distribution of coagulase-negative Staphylococcus species from milk and environment of dairy cows differs between herds. J Dairy Sci. 2011;94(6):2933–44.

    Article  PubMed  CAS  Google Scholar 

  23. Dakić I, Morrison D, Vuković D, Savić B, Shittu A, Ježek P, et al. Isolation and molecular characterization of Staphylococcus sciuri in the hospital environment. J Clin Microbiol. 2005;43(6):2782–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Enyetornye B, Kwamena Ab R, Kodua E, Sop Foka EI, Narh Ahia K, Habibur Ra M, et al. A Report on Staphylococcus sciuri Associated Pneumonia and Septicemic Shock in Grasscutters (Thryonomys swinderianus). Asian Journal of Animal and Veterinary Advances. 2021;16(1):53–8.

    Article  Google Scholar 

  25. Hu X, Zheng B, Jiang H, Kang Y, Cao Q, Ning H, et al. Draft genome sequence of Staphylococcus sciuri subsp. sciuri strain Z8, isolated from human skin. Genome Announc. 2015;3(4):e00714-15.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Buathong R, Joyjinda Y, Rodpan A, Yomrat S, Ponpinit T, Ampoot W, et al. Whole genome Sequencing for food-borne outbreaks in Thailand. 2021 [cited 2022 Feb 12]. Available from: https://www.ncbi.nlm.nih.gov/nuccore/CP070606.1/.

  27. Egyir B, Hadjirin NF, Gupta S, Owusu F, Agbodzi B, Adogla-Bessa T, et al. Whole-genome sequence profiling of antibiotic-resistant Staphylococcus aureus isolates from livestock and farm attendants in Ghana. Journal of Global Antimicrobial Resistance. 2020;1(22):527–32.

    Article  Google Scholar 

  28. Dar JA, Thoker MA, Khan JA, Ali A, Khan MA, Rizwan M, et al. Molecular epidemiology of clinical and carrier strains of methicillin resistant Staphylococcus aureus (MRSA) in the hospital settings of north India. Ann Clin Microbiol Antimicrob. 2006;14:5.

    Google Scholar 

  29. Czekaj T, Ciszewski M, Szewczyk EM. Staphylococcus haemolyticus An emerging threat in the twilight of the antibiotics age. Microbiology. 2015;161:2061–8.

    Article  PubMed  CAS  Google Scholar 

  30. Egyir B, Oteng AA, Owusu E, Newman MJ, Addo KK, Larsen AR. Characterization of staphylococcus aureus from human immunodeficiency virus (HIV) patients in Accra, Ghana. J Infect Dev Ctries. 2016;10(5):453–6.

    Article  PubMed  Google Scholar 

  31. Egyir B, Guardabassi L, Esson J, Nielsen SS, Newman MJ, Addo KK, et al. Insights into nasal carriage of Staphylococcus aureus in an urban and a rural community in Ghana. PLoS ONE. 2014;9(4).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Egyir B, Guardabassi L, Sørum M, Nielsen SS, Kolekang A, Frimpong E, et al. Molecular epidemiology and antimicrobial susceptibility of clinical Staphylococcus aureus from healthcare institutions in Ghana. PLoS ONE. 2014;9(2):e89716.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Egyir B, Guardabassi L, Monecke S, Addo KK, Newman MJ, Larsen AR. Methicillin-resistant Staphylococcus aureus strains from Ghana include USA300. Journal of Global Antimicrobial Resistance. 2015;3(1):26–30.

    Article  PubMed  Google Scholar 

  34. Egyir B, Guardabassi L, Nielsen SS, Larsen J, Addo KK, Newman MJ, et al. Prevalence of nasal carriage and diversity of Staphylococcus aureus among inpatients and hospital staff at Korle Bu Teaching Hospital. Ghana Journal of Global Antimicrobial Resistance. 2013;1(4):189–93.

    Article  PubMed  Google Scholar 

  35. Achek R, Hotzel H, Cantekin Z, Nabi I, Hamdi TM, Neubauer H, et al. Emerging of antimicrobial resistance in staphylococci isolated from clinical and food samples in Algeria. BMC Res Notes. 2018;11(1):663.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Dilnessa T, Bitew A. Prevalence and antimicrobial susceptibility pattern of methicillin resistant Staphylococcus aureus isolated from clinical samples at Yekatit 12 Hospital Medical College, Addis Ababa, Ethiopia. BMC Infect Dis. 2016;16(1):398.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Olayinka B, Bala Lis H, OJoseph E, Onaolapo JA. Multidrug resistant Staphylococcus aureus isolates from poultry farms in Zaria, Nigeria. Antibiotic susceptibility profile and enterotoxigenicity of S. aureus isolated from dry fish View project Mercy Aboh View project Multidrug resistant Staphylococcus aureus isolates from poultry farms in. 2010. Available from: https://www.researchgate.net/publication/284028206.

  38. Wood JB, Smith DB, Baker EH, Brecher SM, Gupta K. Has the emergence of community-associated methicillin-resistant Staphylococcus aureus increased trimethoprim-sulfamethoxazole use and resistance?: a 10-year time series analysis. Antimicrob Agents Chemother. 2012;56(11):5655–60.

  39. Monograph P. Vancomycin hydrochloride for injection. Toronto: USP, Fresenius Kabi Canada Inc.; 2017. Control. (204448).

  40. Rolo J, Worning P, Boye Nielsen J, Sobral R, Bowden R, Bouchami O, et al. Evidence for the evolutionary steps leading to mecA-mediated β-lactam resistance in staphylococci. PLoS Genet. 2017;13(4):e1006674.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Nemeghaire S, Vanderhaeghen W, Angeles Argudín M, Haesebrouck F, Butaye P. Characterization of methicillin-resistant Staphylococcus sciuri isolates from industrially raised pigs, cattle and broiler chickens. J Antimicrob Chemother. 2014;69(11):2928–34.

    Article  PubMed  CAS  Google Scholar 

  42. Gómez-Sanz E, Haro-Moreno JM, Jensen SO, Roda-García JJ, López-Pérez M. The Resistome and Mobilome of Multidrug-Resistant Staphylococcus sciuri C2865 Unveil a Transferable Trimethoprim Resistance Gene, Designated dfrE, Spread Unnoticed. 2021. Available from: https://journals.asm.org/journal/msystems.

  43. Couto I, Wu SW, Tomasz A, de Lencastre H. Development of methicillin resistance in clinical isolates of Staphylococcus sciuri by transcriptional activation of the mecA homologue native to the species. J Bacteriol. 2003;185(2):645–53.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Hot C, Berthet N, Chesneau O. Characterization of sal(A), a Novel Gene Responsible for Lincosamide and Streptogramin a resistance in staphylococcus sciuri. Antimicrob Agents Chemother. 2014;58(6):3335–41.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Mccarthy AJ, Lindsay JA. The distribution of plasmids that carry virulence and resistance genes in Staphylococcus aureus is lineage associated. 2012. Available from: http://www.biomedcentral.com/1471-2180/12/104.

  46. Kwong SM, Ramsay JP, Jensen SO, Firth N. Replication of staphylococcal resistance plasmids. Front Microbiol. 2017;8:2279.

  47. Strasheim W, Perovic O, Singh-Moodley A, Kwanda S, Ismail A, Lowe M. Ward-specific clustering of methicillin-resistant Staphylococcus aureus spa-type t037 and t045 in two hospitals in South Africa: 2013 to 2017, vol. 16. PLoS ONE: Public Library of Science; 2021.

    Google Scholar 

  48. Rahman MT, Kobayashi N, Alam MM, Ishino M. Genetic analysis of mecA homologues in Staphylococcus sciuri strains derived from mastitis in dairy cattle. Microbial Drug Resist. 2005;11(3):205–14.

  49. Boot M, Raadsen S, Savelkoul PH, Vandenbroucke-Grauls C. Rapid plasmid replicon typing by real time PCR melting curve analysis [Internet]. 2013. Available from: http://www.biomedcentral.com/1471-2180/13/83.

  50. El-Razik KAA, Arafa AA, Hedia RH, Ibrahim ES. Tetracycline resistance phenotypes and genotypes of coagulase-negative staphylococcal isolates from bubaline mastitis in Egypt. Veterinary World. 2017;10(6):702–10.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Li D, Wang Y, Schwarz S, Cai J, Fan R, Li J, et al. Co-location of the oxazolidinone resistance genes optrA and cfr on a multiresistance plasmid from Staphylococcus sciuri. J Antimicrob Chemother. 2016;71(6):1474–8.

    Article  PubMed  CAS  Google Scholar 

  52. Mores CR, Montelongo C, Putonti C, Wolfe AJ, Abouelfetouh A. Investigation of Plasmids Among Clinical Staphylococcus aureus and Staphylococcus haemolyticus Isolates From Egypt. Front Microbiol. 2021;4:12.

    Google Scholar 

  53. Strommenger B, Bartels MD, Kurt K, Layer F, Rohde SM, Boye K, et al. Evolution of methicillin-resistant Staphylococcus aureus towards increasing resistance. J Antimicrob Chemother. 2014;69(3):616–22.

    Article  PubMed  CAS  Google Scholar 

  54. Amirsoleimani A, Brion G, Francois P. Co-carriage of metal and antibiotic resistance genes in sewage associated staphylococci. Genes (Basel). 2021;12(10):1473.

  55. Du X, Zhu Y, Song Y, Li T, Luo T, Sun G, et al. Molecular analysis of Staphylococcus epidermidis strains isolated from community and hospital environments in China. PLoS ONE. 2013;8(5):e62742.

  56. Afeke I, Moustafa A, Hirose M, Becker M, Busch H, Kuenstner A, et al. Draft genome sequences and antimicrobial profiles of three staphylococcus epidermidis strains from neonatal blood samples. Microbiol Resour Announc. 2021;10(13):e00170–21.

  57. Panda S, Jena S, Sharma S, Dhawan B, Nath G, Singh DV. Identification of novel sequence types among staphylococcus haemolyticus isolated from variety of infections in India. PLoS ONE. 2016;11(11):e0166193.

  58. Bathavatchalam YD, Solaimalai D, Amladi A, Dwarakanathan HT, Anandan S, Veeraraghavan B. Vancomycin heteroresistance in Staphylococcus haemolyticus: elusive phenotype. Future Sci OA. 2021;7(7):FSO710.

  59. DAI. DFID Market Development (MADE) in Northern Ghana Programme [Internet]. 2014. Available from: www.dai.com.

  60. Wolters M, Rohde H, Maier T, Belmar-Campos C, Franke G, Scherpe S, et al. MALDI-TOF MS fingerprinting allows for discrimination of major methicillin-resistant Staphylococcus aureus lineages. Int J Med Microbiol. 2011;301(1):64–8.

    Article  PubMed  CAS  Google Scholar 

  61. Christner M, Rohde H, Wolters M, Sobottka I, Wegscheider K, Aepfelbacher M. Rapid Identification of Bacteria from Positive Blood Culture Bottles by Use of Matrix-Assisted Laser Desorption- Ionization Time of Flight Mass Spectrometry Fingerprinting. J Clin Microbiol. 2010;48(5):1584–91.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. European Committee on Antimicrobial Susceptibility Testing. Breakpoint tables for interpretation of MICs and zone diameters. 2019.

    Google Scholar 

  63. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: An international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18(3):268–81.

    Article  PubMed  CAS  Google Scholar 

  64. Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010 [cited 2022 Mar 20]. Available from: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/.

  66. Letunic I, Bork P. Interactive Tree of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Res. 2019;47(W1):W256–9.

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Acknowledgements

The research team is thankful to farm attendants and farm owners of selected farms for their participation in the study.

Funding

This study was supported by the University of Ghana Research Fund [URF/9/ILG-067/2015–2016] and The DELTAS Africa Initiative [Afrique One – ASPIRE/DEL-15–008]. Afrique One – ASPIRE is funded by a consortium of donors including the African Academy of Sciences (AAS), Alliance for Accelerating Excellence in Science in Africa (AESA), the New Partnership for Africa’s Development Planning and Coordinating (NEPAD) Agency, the Wellcome Trust [107753/A/15/Z] and the UK government. Sequencing of cefoxitin positive coagulase negative was supported by the Fleming fund/SEQAFRICA project.

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Authors and Affiliations

  1. Department of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana

    Beverly Egyir, Christian Owusu-Nyantakyi, Grebstad Rabbi Amuasi, Felicia Amoa Owusu & Kennedy Kwasi Addo

  2. Regional Veterinary Laboratory, Ho, Volta Region, Ghana

    Esther Dsani

  3. Central Veterinary Laboratory, Pong-Tamale, Northern Region, Ghana

    Emmanuel Allegye-Cudjoe

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  1. Beverly Egyir
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  4. Grebstad Rabbi Amuasi
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  5. Felicia Amoa Owusu
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  7. Kennedy Kwasi Addo
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Contributions

BE was involved in the design of this study and supervision of all aspects of the study. BE, ED, CON, GRA, and FO were involved in sample and data collection, laboratory testing, interpretation of data and drafting of the manuscript. EAC and KKA contributed to the writing of the manuscript. All authors contributed to the writing of the manuscript and approved the final manuscript.

Corresponding author

Correspondence to Beverly Egyir.

Ethics declarations

Ethics approval and consent to participate

Ethical clearance for this study was obtained from the institutional review board (IRB) (FWA00001824) and Animal Care and Use Committee at Noguchi Memorial Institute for Medical Research (2016–01-3 N) for human and animal research activities respectively. All methods were performed in accordance with the relevant guidelines and regulations for field studies and research on animals. Informed consent to participate in the study was obtained from farm owners and farm attendants. In the case of farm attendants who were minors, informed consent was also obtained from legal guardians. Samples collected were coded, and any information obtained was used for the study and remains confidential.

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The authors declare that they have no competing interests.

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Egyir, B., Dsani, E., Owusu-Nyantakyi, C. et al. Antimicrobial resistance and genomic analysis of staphylococci isolated from livestock and farm attendants in Northern Ghana. BMC Microbiol 22, 180 (2022). https://doi.org/10.1186/s12866-022-02589-9

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BMC Microbiology

ISSN: 1471-2180

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