Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Alarming multidrug resistance in Staphylococcus aureus isolated from raw milk of cows with subclinical mastitis: Antibiotic resistance patterns and occurrence of selected resistance genes

  • Ijaz Ul Haq,

    Roles Data curation, Investigation, Methodology, Writing – original draft

    Affiliations College of Veterinary Sciences and Animal Husbandry, Abdul Wali Khan University Mardan, Mardan Pakistan, Department of Zoology, Abdul Wali Khan University Mardan, Mardan, Pakistan

  • Mustafa Kamal,

    Roles Data curation, Investigation, Methodology, Writing – original draft

    Affiliations College of Veterinary Sciences and Animal Husbandry, Abdul Wali Khan University Mardan, Mardan Pakistan, Department of Zoology, Abdul Wali Khan University Mardan, Mardan, Pakistan

  • Ayman A. Swelum,

    Roles Funding acquisition, Software, Writing – review & editing

    Affiliation Department of Animal Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia

  • Shehryar Khan,

    Roles Data curation, Methodology

    Affiliations College of Veterinary Sciences and Animal Husbandry, Abdul Wali Khan University Mardan, Mardan Pakistan, Department of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan

  • Patricio R. De los Ríos-Escalante,

    Roles Funding acquisition, Validation, Writing – review & editing

    Affiliations Facultad de Recursos Naturales, Departamento de Ciencias Biológicas y Químicas, Universidad Católica de Temuco, Temuco, Chile, Nucleo de Estudios Ambientales UC Temuco, Temuco, Chile

  • Tahir Usman

    Roles Conceptualization, Funding acquisition, Supervision

    tahirusman@awkum.edu.pk

    Affiliations College of Veterinary Sciences and Animal Husbandry, Abdul Wali Khan University Mardan, Mardan Pakistan, Key Laboratory of Agricultural Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China

Abstract

Bovine mastitis is a widespread and costly disease that affects dairy farming globally, characterized by mammary gland inflammation. Bovine intramammary gland infection has been associated with more than 135 different pathogens of which Staphylococcus aureus is the main etiology of sub-clinical mastitis (SCM). The current study was designed to investigate the prevalence, antibiotic resistance pattern, and the presence of antibiotic resistance genes (mecA, tetK, aacA-aphD and blaZ) in S. aureus isolated from the raw milk of cows with subclinical mastitis. A total of 543 milk samples were collected from lactating cows such as Holstein Friesian (n = 79), Sahiwal (n = 175), Cholistani (n = 107), and Red Sindhi (n = 182) from different dairy farms in Pakistan. From the milk samples microscopic slides were prepared and the somatic cell count was assessed to find SCM. To isolate and identify S. aureus, milk was streaked on mannitol salt agar (MSA) plates. Further confirmation was done based on biochemical assays, including gram staining (+ coccus), catalase test (+), and coagulase test (+). All the biochemically confirmed S. aureus isolates were molecularly identified using the thermonuclease (nuc) gene. The antibiotic resistance pattern of all the S. aureus isolates was evaluated through the disc diffusion method. Out of 543 milk samples, 310 (57.09%) were positive for SCM. Among the SCM-positive samples, S. aureus was detected in 30.32% (94/310) samples. Out of 94 isolates, 47 (50%) were determined to be multidrug resistant (MDR). Among these MDR isolates, 11 exhibited resistance to Cefoxitin, and hence were classified as methicillin-resistant Staphylococcus aureus (MRSA). The S. aureus isolates showed the highest resistance to Lincomycin (84.04%) followed by Ampicillin (45.74%), while the least resistance was shown to Sulfamethoxazole/Trimethoprim (3.19%) and Gentamycin (6.38%). Polymerase chain reaction (PCR) analysis revealed that 55.31% of the isolates carried blaZ gene, 46.80% carried tetK gene, 17.02% harbored the mecA gene, whereas, aacA-aphD gene was found in 13.82% samples. Our findings revealed a significant level of contamination of milk with S. aureus and half (50%) of the isolates were MDR. The isolated S. aureus harbored various antibiotic resistance genes responsible for the absorbed phenotypic resistance. The alarmingly high prevalence of MDR S. aureus isolates and MRSA strains in these cases possess a serious risk to public health, emphasizes the urgent need to address this issue to protect both human and animal health in Pakistan.

Introduction

Mastitis is an inflammatory condition of the mammary gland and udder tissue in cows, resulting in abnormal and reduced milk yield. Typically, mastitis develops as a result of the immune system’s response to microorganisms invading the udder through the teat canal. It can also be caused due to physical damage, exposure to harmful chemicals, or high temperatures affecting the udder. It is one of the most common dairy sector diseases [1]. Mastitis may be subclinical or clinical, and can be either environmental or contagious [2]. Clinical mastitis (CM) cases include one or more of the following symptoms: irregular milk production, inflamed udder, clumps and clots in milk and systemic symptoms, including fever, fatigue, loss of appetite and depression, while the symptoms of sub-clinical mastitis (SCM) include low production of milk, and poor milk quality however the udder appears normal [3]. During SCM, in order to combat invasive pathogens, white blood cells (WBCs) such as macrophages and neutrophils move from bloodstream to the udder tissues. This results in an increased somatic cell count (SCC), and as SCC level rises, milk production declines. Milk’s protein content changes dramatically over time. Casein, the main milk protein decreases, while proteins of low nutritional value increase, negatively impacting milk [4]. Reduced milk production and discarding milk from unhealthy animals result in financial losses. Other factors contributing to losses include removing milk that contains antibiotic residues, early cow removal and replacement with expensive ones, veterinarian fees, prescription costs, extra hourly payments, and decreased commercial worth of removed cows [5].

Many contagious pathogens are responsible for mammary gland infection. Udder and teat skin of the cow are common habitats for contagious pathogens, which are commonly disseminated during the milking process from one cow to another. SCM is mostly caused by a highly contagious bacterium Staphylococcus aureus developing resistance and producing different virulence elements, such as endotoxins and other dangerous proteins. Mastitis in cows causes major economic losses and is associated mainly with S. aureus [1]. S. aureus is mostly found on or in the udder of cows, commonly transferred from one teat to another within a single cow or between cows while milking [6].

S. aureus contains multiple virulence factors that contribute to its toxicity. Adhesins, superantigens, capsules, and toxins are some of these factors. Adhesins are protein or glycoproteins on the bacterium’s surface that allow it to adhere to host cells. Toxins are chemicals produced by bacteria that are capable of damaging the host cells and tissues. Superantigens are poisons that can activate a high number of immune cells, resulting in an overly aggressive immunological response. Capsules are coverings that protect the bacterium from the host’s immune system [7, 8]. A variety of infections can be caused by S. aureus, including pneumonia, bone and joint infections, skin and soft tissue infections, and bloodstream infections. The way diseases develop varies depending on the type of infection. For example, in skin and soft tissue infections, bacteria might get into the body through a wound or cut, giving rise to the infection. In cases of bloodstream infections, the bacteria have the ability to enter the bloodstream and travel to other body parts, resulting in sepsis [9, 10].

In staphylococci, antibiotics primarily target nucleic acids, the cell envelope, and ribosomes to stop bacterial growth. Recent targeted drug development programs have identified many new targets, including the cell division machinery’s FtsZ and the protease ClpP [11]. The utilization of vast amounts of antibiotics for both humans and farm animals led to the S. aureus emergence, which displayed resistance to a variety of drugs. Reports show that the low- and middle-income countries are more actively contributing to the rise in antibiotic resistance rates compared to high-income countries [12, 13]. Resistance can either develop from mutations in genetic elements or via the horizontal resistance gene transfer encoded by movable genetic components like plasmids, staphylococcal cassette chromosomes, and jumping genes. In S. aureus, antibiotic resistance genes include the most prevalent tetracycline resistance genes (tetL, tetO, tetM, tetK) and erythromycin resistance genes (ermA, ermC, ermB). Three commonly recognized mechanisms confer tetracycline resistance to organisms: (i) Efflux by tetracycline-specific pumps, (ii) Ribosomal protection, and (iii) Enzymatic inactivation. Erythromycin resistance can arise through different mechanisms, such as efflux pumps, modification of target sites, and alteration of ribosomes [11]. S. aureus may develop multidrug resistance in one of two ways. First, multiple genes that code for drug resistance can accumulate over time within the bacteria; this accumulation often occurs on resistance plasmids. Second, increased expression of the genes that make multidrug efflux pumps that release a number of drugs may contribute to multidrug resistance [14].

S. aureus is a crucial pathogen for both humans and animals. When treating staphylococcal infections, resistance to drugs is a significant problem [15]. S. aureus exhibits significant resistance to certain antimicrobial classes, which restricts choices for therapy available to veterinary and human medicine [16]. The dairy sector and the food safety of humans are greatly affected by the multi-drug resistant (MDR) strains [17]. Multidrug resistance has been increased all over the world that is considered a public health threat. Several recent investigations reported the emergence of MDR bacterial pathogens from different origins that increase the necessity of the proper use of antibiotics. Additionally, antimicrobial susceptibility testing is routinely applied to identify the antibiotic of choice and screen for emerging MDR strains [12]. The presence of methicillin-resistant S. aureus (MRSA) in unpasteurized milk poses a major threat to public health [18]. Public health concerns have recently increased with the appearance of extremely virulent community acquired-MRSA strains [19]. The world health organization has named nosocomial infections caused by MRSA among the world’s three most challenging infectious illnesses due to its severity and prevalence [20]. The emergence of MRSA is attributed to the mecA resistance gene, and the presence of the tetK gene is recognized as a contributing factor to the development of Tetracycline resistance [14]. Gentamicin, tobramycin, and kanamycin resistance are all conferred by the aacA-aphD gene, which encodes an aminoglycoside modifying enzyme and blaZ gene causes resistance to beta-lactam antibiotics, such as amoxicillin and ampicillin [21].

Staphylococcus aureus exhibits an outstanding variety of virulence features, allowing it to survive in extreme host conditions and result in tissue colonization, tissue damage, and life-threatening systemic infections. The Panton-Valentine leukocidin (PVL) toxin is the main virulence factors of S. aureus, that targets WBCs. PVL enters the host plasma membrane and creates a pore or hole, it has a strong affinity for leukocytes, whereas other toxins, such as leukocidin and γ-hemolysin, are cytotoxic to WBCs and red blood cells, respectively [7]. In the context of cattle, S. aureus can induce mastitis by entering the mammary gland via the teat canal and colonizing the gland, resulting in the release of enzymes and toxins that kill host cells and tissues [22].

To ensure effective decision-making regarding the treatment of animals with antibiotics and to evade the emergence of antibiotic resistance, the pattern of S. aureus’s antibiotic resistance in raw milk needs to be monitored [23]. Therefore, the current study was designed to find out the prevalence, antibiotic resistance pattern, and the presence of antibiotic resistance genes (mecA, tetK, aacA-aphD and blaZ) in S. aureus isolated from the raw milk of cows with subclinical mastitis.

Materials and methods

Ethical statement

This study was approved by the Advanced Studies and Research Board (ASRB) (Dir/A&R/AWKUM/2022/9396) of the Faculty of Chemical and Life Sciences, Abdul Wali Khan University Mardan, Pakistan. The oral permissions were obtained from the farm managers regarding milk and blood collection.

Study design

Milk samples were obtained from 543 lactating cows, including Holstein Friesian (n = 79), Sahiwal (n = 175), Cholistani (n = 107), and Red Sindhi (n = 182) from six different dairy farms across Pakistan. The samples were collected in sterilized bottles containing potassium dichromate (0.01 mg) as a preservative using aseptic techniques to avoid bacterial contamination and quickly transported in an icebox to CVS & AH AWKUM for further processing and examination of the milk contents.

Somatic cell count (SCC)

From the milk samples, microscopic slides were prepared and the SCC was assessed using the procedure of Sharma et al. [24]. Two fields of 1 cm2 were made on the clean glass slide. Ten microliters of milk were added to each field and then left to air dry. After drying, xylene was added for 2–3 minutes to defat the slides, which were then fixed by adding 95% ethanol for 5 minutes and left to air dry. After fixation, 10% Giemsa stain was added to each field for 30 minutes after that, rinse with tap water. The slides were all examined through a 100X oil immersion lens of the microscope.

Isolation and confirmation of S. aureus

S. aureus isolation and identification were performed using mannitol salt agar (MSA) plates (Oxoid Ltd., Hampshire, England) [25]. The plates were incubated for 18 to 24 hours at 37°C and were then observed for S. aureus colonies. For the isolation of pure colonies, the S. aureus colony was picked from the first culture and was sub-cultured on the same medium–MSA, then kept at 37°C for 18 to 24 hours. Further confirmation was done based on biochemical assays, including gram staining (+ coccus), catalase test (+), and coagulase test (+) [26]. As a quality-control strain, S. aureus ATCC25923 was used.

Stock preparation

Following the manufacturer’s instructions, Luria-Bertani (LB) broth (Sigma-Aldrich Merck, Germany) was made. Fresh S. aureus colonies were added to the LB broth, and then the mixture was incubated stationary in a bacteriological incubator for 24 hours at 37°C. The broth’s turbidity after incubation showed S. aureus growth. For glycerol stock preparation, 500 μL of LB broth containing S. aureus was added to 1000 μL of 70% glycerol (Bio-Rad Inc., USA) in eppendorf and refrigerated at -40°C until further usage.

DNA extraction

For DNA extraction of all confirmed S. aureus isolates, Chelex® 100 resin (15–50 mesh) (Bio-Rad Inc., USA) was used [27]. In a sterile falcon tube, a five percent solution of Chelex was prepared. After that, 70 μL of 5% Chelex solution was added into a sterile eppendorf through a pipette, and then a few pure colonies from a fresh culture of the bacteria were added into it via a sterile wire loop. Using a pipette, the Chelex and the bacterial colonies were mixed gently. After this, the mixture was heated in a water bath for 30 minutes at 45°C, followed by centrifugation for 10 seconds at 5000 rpm. In the new eppendorf, the supernatant was collected. The DNA was confirmed by using an agarose gel (Bio-Rad Inc., USA) of 1%.

Molecular identification of S. aureus

All the biochemically confirmed S. aureus isolates were molecularly identified using the thermonuclease (nuc) gene, which is unique to this bacterium [28]. S. aureus reference strain ATCC25923 and molecular grade water were applied as respective positive and negative controls. The details of the primer (Bio-Rad Inc., USA) used is given in Table 1. For the Polymerase Chain Reaction (PCR), a total of 20 μL of reaction mixture were used [28]. DNA was initially denatured for five minutes at 94°C then 30 cycles were completed using the following thermal cycling protocol for PCR: second denaturation at 94°C for 30 seconds; annealing at 52°C for 30 seconds; extension at 72°C for 30 seconds; and final amplification for five minutes at 72°C [28]. Finally, the PCR samples were subjected to electrophoresis through a two percent agarose gel (Bio-Rad Inc., USA).

Antimicrobial susceptibility testing (AST)

Through the disc diffusion method, the antibiotic resistance pattern of all the S. aureus isolates was checked for nine commonly used antibiotics or antibiotic combinations across seven different antibiotic classes, namely Penicillins (Amoxicillin (10 μg), Ampicillin (10 μg)), Aminoglycosides (Amikacin (30 μg), Gentamycin (10 μg)), Tetracyclines (Tetracycline (30 μg)), Fluoroquinolones (Levofloxacin (5 μg)), Cephamycins (Cefoxitin (30 μg)), Lincosamides (Lincomycin (10 μg)) and Sulfonamides (Sulfamethoxazole/ Trimethoprim (25 μg)) (ThermoFisher Scientific, USA). To evaluate AST, the S. aureus ATCC25923 was employed as a quality control strain. According to the CLSI guidelines disk diffusion test was performed [29]. MRSA Phenotypic identification was based on resistance to Cefoxitin [3032].

Detection of antibiotic resistance genes through PCR

Antibiotic resistance genes, mecA, tetK, blaZ, and aacA-aphDwere detected and amplified using conventional PCR. From our lab, S. aureus strains positive for mecA, tetK, blaZ, and aacA-aphD genes as a positive control, and molecular grade water as a negative control was used [27]. The details of the primers used are given in Table 1. For the PCR, a total of 20 μL of reaction mixture was used. DNA was initially denatured for 10 minutes at 95°C, then 35 cycles were completed using the following thermal cycling protocol for PCR: second denaturation at 95°C for 30 seconds; annealing at 56°C, 63.6°C, 55°C, and 57°C for 30 seconds for tetK, mecA, aacA-aphD, and blaZ respectively; and extension at 72°C for 30 seconds. During the final amplification phase, at 72°C, the complete single DNA strand was polymerized for 10 minutes [33, 34]. The desired genes were verified using an agarose gel of 1.5 percent.

Statistical analysis

Data was collected from well-known dairy farms and inserted into Excel sheets. Statistical analysis was done to determine relationships between different breeds and farms of cattle with the prevalence of S. aureus. P < 0.05 was considered significant when using the chi-square test. Pearson’s Correlation Coefficient was determined to measure the relationship between the identified resistance genes and the tested antibiotic classes. The SPSS version 22 was used to analyze the data.

Results

Mastitis is an infectious condition that affects the mammary gland and occurs as a result of injury with the aim of neutralizing or killing the infectious agents and preparing the path for healing and the restoration to normal function. Mastitis may be subclinical or clinical and depending on the major reservoir and transmission methods, can be either environmental or contagious. Mastitis may have a number of etiological causes; however, bacteria are most commonly to blame. S. aureus is among the most common bacteria causing mastitis. S. aureus is making the infection more and more challenging, because with the passage of time it evolves from being mono-drug resistant to multi-drug resistant e.g MRSA. In this study 543 bovine milk samples were collected from different dairy farms in Pakistan. Subclinical mastitis was determined in the samples by evaluating the somatic cell count. Then subclinical bovine mastitis associated S. aureus were isolated and studied. The prevalence of S. aureus in SCM was assessed, the isolates antibiotic susceptibility was checked and antibiotic resistance genes in these isolates were determined.

Detection of sub-clinical mastitis

Depending on the quantity of somatic cells in one ml of milk, the health status of cows was determined. The SCC was done for all 543 samples. Cows were considered to have SCM if the SCC exceeded 200,000 cells/ml in milk. Out of 543 total milk samples, 57.09% (n = 310) had subclinical mastitis, of which 104 were Red Sindhi, 100 were Sahiwal, 61 were Cholistani, and 45 were Holstein Friesian (Table 2).

Phenotypic characteristics of the recovered S. aureus isolates

The S. aureus on MSA showed strong growth with pen pointed yellow colonies, displaying mannitol fermentation. The colonies revealed a round and well-defined morphology, differentiating them from other bacteria on MSA. Gram staining of S. aureus revealed Gram-positive cocci. The retrieved S. aureus isolates were poisitive for catalase and coagulase tests.

Prevalence of S. aureus in SCM positive samples

A total of 310 milk samples positive for SCM were examined for S. aureus presence. S. aureus was detected in 30.32% (94/310) milk samples. S. aureus was confirmed by its phenotypic characteristics and was identified molecularly through the species-specific nuc gene.

Dairy farms wise and breed wise prevalence of S. aureus

The highest S. aureus prevalence was noted in Red Sindhi cattle farm Hub (39.13%), followed by Govt. livestock farm Jugaitpeer Cholistan (36.06%), Livestock experimental station Bhadurnagar Okara (32%) and Local Red Sindhi Gharo (28.78%). The lowest prevalence was recorded in Livestock experimental station Korangi Karachi and Govt. cattle breeding and dairy farm Harichand (20%). The p-value was more than 0.05; thus, the prevalence difference between dairy farms is considered nonsignificant (Table 3). In breed wise prevalence, the Cholistani breed had the greatest rate of S. aureus (36.06%, n = 22/61), followed by Sahiwal (32%, n = 32/100) and Red Sindhi (29.80%, n = 31/104). In comparison, the lowest prevalence was noted in Holstein Friesian (20%, n = 9/45). Differences in breed-wise prevalence are nonsignificant (p = 0.591) (Fig 1).

thumbnail
Fig 1. S. aureus prevalence by breed in SCM milk samples.

https://doi.org/10.1371/journal.pone.0301200.g001

Antibiotic susceptibility testing

AST was performed on all 94 isolates of S. aureus. According to the CLSI guidelines, all verified S. aureus isolates were divided into three categories: resistant, intermediate, and susceptible for all antibiotics tested. Out of 94 isolates, 88% exhibited resistance to at least one of the antibiotics, including Amoxicillin, Gentamycin, Amikacin, Tetracycline, Levofloxacin, Cefoxitin, Lincomycin and Sulfamethoxazole/Trimethoprim. The isolates of S. aureus exhibited the highest levels of Lincomycin resistance (84.04%), followed by Ampicillin (45.74%), Amoxicillin (42.5%), and Tetracycline (17.02%), while the least resistance was shown to Sulfamethoxazole/ Trimethoprim (3.19%) and Gentamycin (6.38%) (Table 4).

Detection of antibiotic resistance genes

Through PCR, mecA, tetK, aacA-aphD and blaZ resistance genes were checked in all S. aureus isolates. Out of 94 samples, the blaZ gene was discovered in 52 samples, indicating its relatively widespread presence. In comparison, tetK gene was found in 44 samples, showing a lower frequency than blaZ. The mecA gene appeared in 16 samples whereas, aacA-aphD was found in just 13 samples.

The Pearson’s Correlation Coefficient between the identified resistance genes and the tested antibiotic classes was estimated in the overall S. aureus isolates. A positive correlation (r = 0.54) was found between the presence of blaZ gene and Penicillins resistance, between the presence of tetK gene and Tetracyclines resistance (r = 0.75), and between the presence of mecA gene and Cephamycins resistance (r = 0.72). The correlation between the aacA-aphD gene and Aminoglycosides resistance was r = 0.32.

MDR S. aureus isolates

A total of 94 S. aureus isolates were tested for antibiotic resistance phenotypically, in which 47 isolates were determined to be MDR. Isolates were classified as MDR based on the criteria outlined by [35]. Among these MDR isolates, 23.40% (11 samples) exhibited resistance to Cefoxitin, and hence were classified as MRSA. Notably, 97.87% MDR isolates were non-susceptible to Lincomycin, with significant rates of non-susceptibility observed for Ampicillin (74.46%), Amoxicillin (72.34%), Tetracycline (63.82%) and Amikacin (25.53%). In contrast, only 6.38% of MDR isolates were non-susceptible to Sulfamethoxazole/ Trimethoprim, while 14.89% each were non-susceptible to Gentamycin and Levofloxacin. As shown in Table 5, 91.48% of MDR S. aureus isolates carried the blaZ gene, while 72.34% had the tetK gene, 29.74% had the mecA gene, and 23.40% carried the aacA-aphD gene.

thumbnail
Table 5. Antibiotic resistance pattern of the MDR S. aureus isolate and the expressed resistance genes.

https://doi.org/10.1371/journal.pone.0301200.t005

The Pearson’s Correlation Coefficient analysis in the MDR isolates reveals a positive correlation between the resistant phenotypes and the resistance genes. The correlation between the Penicillin’s resistance and the presence of the blaZ gene was r = 0.69. Cefoxitin resistance was positively correlated (r = 0.73) with the presence of the mecA gene. Similarly, Tetracyclines resistance was positively correlated (r = 0.72) with the presence of tetK gene. The correlation between the Aminoglycosides resistance and the presence of aacA-aphD gene was r = 0.59.

Discussion

In this study, out of 543 total milk samples, 57.09% (n = 310) had SCC levels above 200,000, indicating SCM. In Pakistan, Najeeb et al. [36] reported a 39.2% SCM prevalence, 80.8% of the total cases were caused by S. aureus, and 18.8% of milk samples contained MRSA based on AST and 6.5% based on the molecular study. A review article authored by Bari et al. [37] discovered that SCM varied in cows, from 18% to 87% in India. Chen et al. [38] published a study in 2022 indicated that in seven regions of China, the estimated prevalence of subclinical mastitis ranged between 36.4% and 50.2%. Similar research was done by Tesfaye et al. [39] and found a comparatively higher prevalence of SCM, i.e., 69.4%. A previous study from Muzaffar Garh Pakistan, reported that 45% of crossbred cows had SCM [40]. In South Ethiopia’s Hawassa milk shed, dairy cattle herds were the subject of a study by Abebe et al. [41] they reported a 59.2% prevalence of SCM. Sefinew et al. [42] reported 9.7% and 37.2% prevalence of CM and SCM, respectively in milk collected from local zebu breeds and zebu-Holsteins cross breeds in Ethiopia.

Breed-wisely, SCM was found to be most prevalent in Sahiwal (57.14%) and Red Sindhi (57.14%), followed by Cholistani (57%) and Holstein Friesian (56.96%). A research by Bachaya et al. [43], found that SCM is common in crossbred cows (36%) in Muzaffar Garh, Pakistan. Dar et al. [25] reported a prevalence of 74.61% and 25.38% of SCM in crossbred and native cows, respectively.

S. aureus was prevalent in this study at a rate of 30.32 percent (n = 94 / 310). Compared to this, the prevalence in other countries was recorded as 43.1%, 46.6%, 50.0%, and 30.6% in China, USA, Poland, and Ethiopia, respectively [39, 4446]. A higher occurrence of S. aureus in SCM milk samples was recorded by Ren et al. [47] from southern Xinjiang China which was 77.38%, while the prevalence of S. aureus in Beijing reported by Wang et al. [48] was 46.2%. On the other hand, from two different regions of Ethiopia, 42.85% and 51.2% prevalence rates of S. aureus were reported by Bude and Mengesha [3] and Abebe et al. [49], respectively. The S. aureus prevalence in the previous studies and current study can vary due to several reasons, such as study design, sampling method, population characteristics, and geographic location [50].

The bacteria become resistant to a drug by one of these mechanisms; inactivating or modifying the drug enzymatically, modifying the binding site of the drug, drug efflux, protecting the target by displacing the drug, circumvent mechanisms involving gaining of new drug resistant targets [11]. In the current research, 47 (50%) of the 94 S. aureus isolates were MDR. A previous study from Pakistan reported nearly the same prevalence (44.44%) of MDR bacteria in the milk samples [36]. A comparable MDR prevalence (46.8%) was observed in another study carried out in China [44]. The current study’s MDR prevalence was significantly greater than reports from other countries, such as Indonesia (10%), Greece (13.3%), and Kenya (29.67%) [5153]. The isolates of S. aureus exhibited the highest levels of Lincomycin resistance (84.04%), followed by Ampicillin (45.74%), Amoxicillin (42.5%), and Tetracycline (17.02%). This high resistance rate is because of MDR strains’ emergence, escalated by the excessive misuse of antibiotics in veterinary practice. In contrast, the isolates showed the highest susceptibility to Sulfamethoxazole/ Trimethoprim (95.74%) and Gentamycin (89.36%). The isolates’ susceptibility to Sulfamethoxazole/Trimethoprim is attributed to the synergistic effect of the drug, while Gentamycin is used less frequently, resulting in lower resistance towards it [54]. The high prevalence of MDR S. aureus strains among SCM cases indicates the need for a more vigilant approach toward the use of antibiotics in veterinary practices. Additionally, it is advised to periodically test the antimicrobial sensitivity of the pathogens before usage and monitor the rational use of medications.

The mecA, tetK, aacA-aphD and blaZ resistance genes were checked in all S. aureus isolates. The blaZ gene was found in 52 (55%) samples, indicating its relatively high prevalence. Whereas, 44 (46.80%) of S. aureus isolates had the tetK gene, the mecA gene was found in 16 (17.02%) isolates, and aacA-aphD was found in just 13 (13.82) samples. The two main mechanisms S. aureus employs to develop β-lactam resistance are the penicillinase production and penicillin-binding protein modification [55]. S. aureus becomes resistant to tetracycline by activating the efflux pump encoded by the tetK gene [19]. Gentamicin and Amikacin belong to the aminoglycoside class of antibiotics, and transferrable plasmids that encode bifunctional aminoglycoside-modifying enzymes like aacA-aphD can cause resistance to them [56]. Similarly, Amoxicillin and Ampicillin, which are both penicillin-class antibiotics, are not any more effective compared to other antibiotics against bacteria that make beta-lactamase enzymes such as blaZ [57]. An earlier investigation from China carried out by Qu et al. [34] reported nearly the same occurrence of mecA (16%) and tetK gene (31%), whereas, a relatively higher frequency of aacA-aphD (23%) and blaZ gene (95%) in S. aureus isolates. Liu et al. [58] discovered that 12.90% of the S. aureus isolates carried the mecA gene in large-scale dairy farms in China. In contrast, Mbindyo et al. [52] from Kenya found a higher prevalence of mecA (25%) and a lower prevalence of tetK (0%) and blaZ gene (41%) in the S. aureus isolates.

In this study, there is discrepancy between the presence of antibiotic resistance genes and the frequency of resistance in the phenotype. It is common for bacteria to have an antibiotic resistance gene but not being resistant to the concerned drug. This is due to the fact that the presence of an antibiotic resistance gene does not guarantee that the bacteria will be resistant to the drug. Additional factors such as the presence of other genes, expression of the gene, and environmental conditions can all affect whether or not the bacteria will develop antibiotic resistance [59].

In the current research the raw milk is significantly contaminated with S. aureus including the MDR-MRSA strains that carried the antibiotic resistance genes. This resistance can be transmitted from cows to humans through the consumption of contaminated milk or contact with infected animals, directly endangering human health [6]. Furthermore, the persistence of antibiotic-resistant bacteria in the agricultural setting, such as on dairy farms, can facilitate the spread of resistance genes throughout the wider ecosystem, worsening the global antibiotic resistance crisis.

Conclusions

It is concluded that the raw milk of the studied breeds of cows is significantly contaminated with antibiotic resistant S. aureus including the MDR isolates and MRSA strains. The isolated S. aureus harbored various resistance genes responsible for the absorbed phenotypic resistance. The alarmingly high prevalence of MDR S. aureus isolates and MRSA strains in these cases present a serious risk to public health. Therefore, this study has provided valuable information that may be helpful to reduce public health risks associated with acquisition of MDR-MRSA along with the milk value chain. Consequently, we recommend continuous surveillance and monitoring of antibiotic resistant S. aureus, including the MDR-MRSA to reduce the emergence and spread of the milk-borne drug-resistant S. aureus strains, to protect the public health and promote sustainable one health is Pakistan.

Acknowledgments

We are thankful to the managers of the dairy farms for providing samples and data for this study.

References

  1. 1. Mora-Hernández Y, Vera Murguía E, Stinenbosch J, Hernández Jauregui P, van Dijl JM, Buist G. Molecular typing and antimicrobial resistance profiling of 33 mastitis-related Staphylococcus aureus isolates from cows in the Comarca Lagunera region of Mexico. Scientific reports. 2021;11(1):1–11.
  2. 2. Andrews AH, Blowey RW, Boyd H, Eddy RG. Bovine medicine: diseases and husbandry of cattle: John Wiley & Sons; 2008.
  3. 3. Bude SA, Mengesha AK. Isolation and Identification of Staphylococcus aureus from Dairy Farms in Bishoftu Town, Ethiopia. 2021.
  4. 4. Akers RM, Nickerson SC. Mastitis and its impact on structure and function in the ruminant mammary gland. Journal of mammary gland biology and neoplasia. 2011;16:275–89. pmid:21968535
  5. 5. Bogni C, Odierno L, Raspanti C, Giraudo J, Larriestra A, Reinoso E, et al. War against mastitis: Current concepts on controlling bovine mastitis pathogens. Science against microbial pathogens: Communicafing current research and technological advances. 2011:483–94.
  6. 6. Zaatout N, Ayachi A, Kecha M. Staphylococcus aureus persistence properties associated with bovine mastitis and alternative therapeutic modalities. Journal of applied microbiology. 2020;129(5):1102–19.
  7. 7. Costa AR, Batistão DWF, Ribas RM, Sousa AM, Pereira MO, Botelho CM. Staphylococcus aureus virulence factors and disease. n A Mendez-Vilas, Microbial Pathogens and Strategies for Combating Them: Science, Technology and Education. 2013;1:702–10.
  8. 8. Zainulabdeen SMS, Dakl AA. "Pathogenicity and virulence factors in Staphylococcus aureus. MJPS. 2021;8(1):109–19.
  9. 9. Abolghait SK, Fathi AG, Youssef FM, Algammal AM. Methicillin-resistant Staphylococcus aureus (MRSA) isolated from chicken meat and giblets often produces staphylococcal enterotoxin B (SEB) in non-refrigerated raw chicken livers. International Journal of Food Microbiology. 2020;328:108669.
  10. 10. Algammal AM, Enany ME, El-Tarabili RM, Ghobashy MOI, Helmy YA. Prevalence, antimicrobial resistance profiles, virulence and enterotoxins-determinant genes of MRSA isolated from subclinical bovine mastitis in Egypt. Pathogens. 2020;9(5):362. pmid:32397408
  11. 11. Foster TJ. Antibiotic resistance in Staphylococcus aureus. Current status and future prospects. FEMS microbiology reviews. 2017;41(3):430–49.
  12. 12. Algammal A, Hetta HF, Mabrok M, Behzadi P. Emerging multidrug-resistant bacterial pathogens “superbugs”: a rising public health threat. Front Microbiol. 2023;14:1135614.
  13. 13. Algammal AM, Ibrahim RA, Alfifi KJ, Ghabban H, Alghamdi S, Kabrah A, et al. A first report of molecular typing, virulence traits, and phenotypic and genotypic resistance patterns of newly emerging XDR and MDR Aeromonas veronii in Mugil seheli. Pathogens. 2022;11(11):1262. pmid:36365013
  14. 14. Nikaido H. Multidrug resistance in bacteria. Annual review of biochemistry. 2009;78:119. pmid:19231985
  15. 15. Myrbråten IS, Stamsås GA, Chan H, Morales Angeles D, Knutsen TM, Salehian Z, et al. SmdA is a novel cell morphology determinant in Staphylococcus aureus. Mbio. 2022;13(2):e03404–21.
  16. 16. Gomes F, Henriques M. Control of bovine mastitis: old and recent therapeutic approaches. Current microbiology. 2016;72(4):377–82. pmid:26687332
  17. 17. McDougall S, Hussein H, Petrovski K. Antimicrobial resistance in Staphylococcus aureus, Streptococcus uberis and Streptococcus dysgalactiae from dairy cows with mastitis. New Zealand veterinary journal. 2014;62(2):68–76.
  18. 18. Cavicchioli V, Scatamburlo T, Yamazi A, Pieri F, Nero L. Occurrence of Salmonella, Listeria monocytogenes, and enterotoxigenic Staphylococcus in goat milk from small and medium-sized farms located in Minas Gerais State, Brazil. Journal of Dairy Science. 2015;98(12):8386–90.
  19. 19. Pal M, Kerorsa GB, Marami LM, Kandi V. Epidemiology, pathogenicity, animal infections, antibiotic resistance, public health significance, and economic impact of Staphylococcus aureus: a comprehensive review. Am J Public Health Res. 2020;8(1):14–21.
  20. 20. Becker R. Staphylococcus aureus and the skin: a longstanding and complex interaction. Skinmed. 2015;13(2):111–9; quiz 20.
  21. 21. Rouch DA, Byrne ME, Kong YC, Skurray RA. The aacA-aphD gentamicin and kanamycin resistance determinant of Tn 4001 from Staphylococcus aureus: expression and nucleotide sequence analysis. Journal of general microbiology. 1987;133(11):3039–52.
  22. 22. Ahmad-Mansour N, Loubet P, Pouget C, Dunyach-Remy C, Sotto A, Lavigne J-P, et al. Staphylococcus aureus toxins: An update on their pathogenic properties and potential treatments. Toxins. 2021;13(10):677.
  23. 23. Liu H, Li S, Meng L, Dong L, Zhao S, Lan X, et al. Prevalence, antimicrobial susceptibility, and molecular characterization of Staphylococcus aureus isolated from dairy herds in northern China. Journal of dairy science. 2017;100(11):8796–803.
  24. 24. Sharma N, Singh N, Bhadwal M. Relationship of somatic cell count and mastitis: An overview. Asian-Australasian Journal of Animal Sciences. 2011;24(3):429–38.
  25. 25. Dar K, Ansari M, Dar S, Tantary H, Baba M, Mehraj-ud-Din N. Studies on subclinical mastitis in dairy cows of Jammu and Kashmir. International Journal of Veterinary Science. 2014;3(2):95–9.
  26. 26. Quinn PJ, Markey BK, Carter ME, Donnelly WJC, Leonard FC. Veterinary microbiology and microbial disease: Blackwell science; 2002 2002.
  27. 27. Lubna , Hussain T, Shami A, Rafiq N, Khan S, Kabir M, et al. Antimicrobial Usage and Detection of Multidrug-Resistant Staphylococcus aureus: Methicillin- and Tetracycline-Resistant Strains in Raw Milk of Lactating Dairy Cattle. Antibiotics. 2023;12(4):673. pmid:37107035
  28. 28. Brakstad OG, Aasbakk K, Maeland JA. Detection of Staphylococcus aureus by polymerase chain reaction amplification of the nuc gene. Journal of clinical microbiology. 1992;30(7):1654–60.
  29. 29. CLSI. Performance Standards for Antimicrobial Susceptibility Testing. In CLSI Supplement M100S, 29th ed.; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2019. Available from: https://scholar.google.com/scholar_lookup?title=Performance+Standards+for+Antimicrobial+Susceptibility+Testing&author=CLSI&publication_year=2019.
  30. 30. CDC. Methicillin-resistant Staphylococcus aureus (MRSA) 2019 [updated 2019/02/06/T08:06:12Z16/4/2023]. Available from: https://www.cdc.gov/mrsa/lab/index.html https://www.cdc.gov/mrsa/lab/index.html#.
  31. 31. Anand KB, Agrawal P, Kumar S, Kapila K. Comparison of cefoxitin disc diffusion test, oxacillin screen agar, and PCR for mecA gene for detection of MRSA. Indian journal of medical microbiology. 2009;27(1):27–9. pmid:19172055
  32. 32. Fernandes CJ, Fernandes LA, Collignon P, on behalf of the Australian Group on Antimicrobial R. Cefoxitin resistance as a surrogate marker for the detection of methicillin-resistant Staphylococcus aureus. Journal of Antimicrobial Chemotherapy. 2005;55(4):506–10. pmid:15743899
  33. 33. Faisal M. Optimasi Suhu Annealing Gen mecA Resistensi Antibiotik Amoksisilin dari Bakteri Staphylococcus aureus pada Pasien Ulkus Diabetik. Jurnal Mahasiswa Farmasi Fakultas Kedokteran UNTAN. 2019;4(1).
  34. 34. Qu Y, Zhao H, Nobrega DB, Cobo ER, Han B, Zhao Z, et al. Molecular epidemiology and distribution of antimicrobial resistance genes of Staphylococcus species isolated from Chinese dairy cows with clinical mastitis. J Dairy Sci. 2019;102(2):1571–83. pmid:30591326
  35. 35. 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. Clinical microbiology and infection. 2012;18(3):268–81. pmid:21793988
  36. 36. Najeeb MF, Anjum AA, Ahmad MUD, Khan HM, Ali MA, Sattar MMK. Bacterial etiology of subclinical mastitis in dairy goats and multiple drug resistance of the isolates. J Anim Plant Sci. 2013;23(6):1541–4.
  37. 37. Bari MS, Rahman MM, Persson Y, Derks M, Sayeed MA, Hossain D, et al. Subclinical mastitis in dairy cows in south-Asian countries: a review of risk factors and etiology to prioritize control measures. Veterinary Research Communications. 2022;46(3):621–40. pmid:35701569
  38. 38. Chen X, Chen Y, Zhang W, Chen S, Wen X, Ran X, et al. Prevalence of subclinical mastitis among dairy cattle and associated risks factors in China during 2012–2021: A systematic review and meta-analysis. Research in veterinary science. 2022.
  39. 39. Tesfaye K, Gizaw Z, Haile AF. Prevalence of Mastitis and Phenotypic Characterization of Methicillin-Resistant Staphylococcus aureus in Lactating Dairy Cows of Selected Dairy Farms in and Around Adama Town, Central Ethiopia. Environmental Health Insights. 2021;15:11786302211021297.
  40. 40. Bachaya HA, Raza MA, Murtaza S, Akbar IUR. Subclinical bovine mastitis in Muzaffar Garh district of Punjab (Pakistan). J Anim Plant Sci. 2011;21(1):16–9.
  41. 41. Abebe R, Hatiya H, Abera M, Megersa B, Asmare K. Bovine mastitis: prevalence, risk factors and isolation of Staphylococcus aureus in dairy herds at Hawassa milk shed, South Ethiopia. BMC Vet Res. 2016;12(1):270. pmid:27912754
  42. 42. Sefinew A, Firaol T, Gizat A, Awoke T. Study on bovine mastitis and its effect on chemical composition of milk in and around Gondar Town, Ethiopia. Journal of veterinary medicine and Animal Health. 2013;5(8):215–21.
  43. 43. Bachaya H, Raza M, Murtaza S, Akbar I. Subclinical bovine mastitis in Muzaffar Garh district of Punjab (Pakistan). J Anim Plant Sci. 2011;21(1):16–9.
  44. 44. Kou X, Cai H, Huang S, Ni Y, Luo B, Qian H, et al. Prevalence and characteristics of Staphylococcus aureus isolated from retail raw milk in Northern Xinjiang, China. Frontiers in Microbiology. 2021;12:705947.
  45. 45. Patel K, Godden SM, Royster EE, Crooker BA, Johnson TJ, Smith EA, et al. Prevalence, antibiotic resistance, virulence and genetic diversity of Staphylococcus aureus isolated from bulk tank milk samples of US dairy herds. Bmc Genomics. 2021;22(1):1–13.
  46. 46. Rola JG, Czubkowska A, Korpysa-Dzirba W, Osek J. Occurrence of Staphylococcus aureus on farms with small scale production of raw milk cheeses in Poland. Toxins. 2016;8(3):62.
  47. 47. Ren Q, Liao G, Wu Z, Lv J, Chen W. Prevalence and characterization of Staphylococcus aureus isolates from subclinical bovine mastitis in southern Xinjiang, China. Journal of Dairy Science. 2020;103(4):3368–80.
  48. 48. Wang W, Lin X, Jiang T, Peng Z, Xu J, Yi L, et al. Prevalence and characterization of Staphylococcus aureus cultured from raw milk taken from dairy cows with mastitis in Beijing, China. Frontiers in microbiology. 2018;9:1123.
  49. 49. Abebe R, Hatiya H, Abera M, Megersa B, Asmare K. Bovine mastitis: prevalence, risk factors and isolation of Staphylococcus aureus in dairy herds at Hawassa milk shed, South Ethiopia. BMC veterinary research. 2016;12(1):1–11.
  50. 50. Kumar S, Anwer R, Yadav M, Sehrawat N, Singh M, Kumar V. Molecular typing and global epidemiology of Staphylococcus aureus. Current Pharmacology Reports. 2021;7(5):179–86.
  51. 51. Khairullah AR, Sudjarwo SA, Effendi MH, Ramandinianto SC, Gelolodo MA, Widodo A, et al. Profile of Multidrug Resistance and Methicillin-Resistant Staphylococcus aureus (MRSA) on dairy cows and risk factors from farmer. Biodiversitas Journal of Biological Diversity. 2022;23(6).
  52. 52. Mbindyo CM, Gitao GC, Plummer PJ, Kulohoma BW, Mulei CM, Bett R. Antimicrobial resistance profiles and genes of Staphylococci isolated from mastitic cow’s milk in Kenya. Antibiotics. 2021;10(7):772. pmid:34202836
  53. 53. Papadopoulos P, Papadopoulos T, Angelidis AS, Boukouvala E, Zdragas A, Papa A, et al. Prevalence of Staphylococcus aureus and of methicillin-resistant S. aureus (MRSA) along the production chain of dairy products in north-western Greece. Food Microbiol. 2018;69:43–50.
  54. 54. Xu X, Xu L, Yuan G, Wang Y, Qu Y, Zhou M. Synergistic combination of two antimicrobial agents closing each other’s mutant selection windows to prevent antimicrobial resistance. Scientific reports. 2018;8(1):1–7.
  55. 55. McCallum N, Berger-Bächi B, Senn MM. Regulation of antibiotic resistance in Staphylococcus aureus. International Journal of Medical Microbiology. 2010;300(2–3):118–29.
  56. 56. Serio AW, Magalhães ML, Blanchard JS, Connolly LE. Aminoglycosides: Mechanisms of action and resistance. Antimicrobial Drug Resistance: Mechanisms of Drug Resistance, Volume 1. 2017:213–29.
  57. 57. Gonzalez Iii US, Spencer JP. Aminoglycosides: a practical review. American family physician. 1998;58(8):1811–20. pmid:9835856
  58. 58. Liu K, Tao L, Li J, Fang L, Cui L, Li J, et al. Characterization of Staphylococcus aureus isolates from cases of clinical Bovine Mastitis on large-scale Chinese dairy farms. Frontiers in Veterinary Science. 2020;7:580129.
  59. 59. Richardson LA. Understanding and overcoming antibiotic resistance. PLoS biology. 2017;15(8):e2003775. pmid:28832581