Next Article in Journal
Genomic Characterization of Mobile Genetic Elements Associated with Multidrug-Resistant Acinetobacter Non-baumannii Species from Southern Thailand
Next Article in Special Issue
In Vitro Microevolution and Co-Selection Assessment of Amoxicillin and Cefotaxime Impact on Escherichia coli Resistance Development
Previous Article in Journal
Staphylococcus capitis Bloodstream Isolates: Investigation of Clonal Relationship, Resistance Profile, Virulence and Biofilm Formation
Previous Article in Special Issue
In Vitro Microevolution and Co-Selection Assessment of Florfenicol Impact on Escherichia coli Resistance Development
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Microbiological Quality and Antimicrobial Resistance of Commercial Probiotic Products for Food-Producing Animals

1
The International Graduate Course of Veterinary Science and Technology (VST), Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
2
Research Unit in Microbial Food Safety and Antimicrobial Resistance, Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
3
Center for Antimicrobial Resistance Monitoring in Foodborne Pathogens (in Cooperation with WHO), Faculty of Veterinary Science, Chulalongkorn University, Bangkok 10330, Thailand
*
Author to whom correspondence should be addressed.
Antibiotics 2024, 13(2), 148; https://doi.org/10.3390/antibiotics13020148
Submission received: 20 December 2023 / Revised: 26 January 2024 / Accepted: 31 January 2024 / Published: 1 February 2024

Abstract

:
Probiotics have been popularly used in livestock production as an alternative to antibiotics. This study aimed to investigate the microbiological quality and phenotypic and genotypic antimicrobial resistance of bacteria in probiotic products sold for food animals. A total of 45 probiotic products were examined for the number of viable cells, species, and antimicrobial susceptibility; the contamination of Escherichia coli and Salmonella; and the presence of 112 genes encoding resistance to clinically important antimicrobials and transferability of AMR determinants. The results showed that 29 of 45 products (64.4%) were incorrectly labeled in either number of viable cells or bacterial species. None of the tested products were contaminated with E. coli and Salmonella. A total of 33 out of 64 bacterial isolates (51.6%) exhibited resistance to at least one antimicrobial agent. Of the 45 products tested, 16 (35.5%) carried AMR genes. Almost all AMR genes detected in probiotic products were not correlated to the AMR phenotype of probiotic strains formulated in the products. Three streptomycin-resistant Lactobacillus isolates could horizontally transfer their AMR determinants. The findings demonstrated that the probiotic products could serve as reservoirs for the spread of AMR genes and may not yield benefits to animals as claimed. The need for the adequate quality control of probiotic products is highlighted.

1. Introduction

In recent decades, the rise in antimicrobial resistance (AMR) in bacteria is one of the significant global public health challenges. The AMR problem impacts upon human, animal, and environmental health and is referred to as a critical One Health issue. Currently, the AMR issue has generated implications in food safety and food security. In food-producing animals, antimicrobials have been widely used for the treatment and prevention of infections and growth promotion [1]. However, the over- and improper use of antimicrobials have resulted in developing resistance in bacteria. Such resistant bacteria may subsequently enter the food chain or transfer their AMR determinants to other bacterial pathogens. A reduction in antimicrobial use in food animals is a milestone in the strategic plan to minimize the emergence and spread of AMR. The use of antibiotic growth promoters in food animal production has been banned in many countries, e.g., EU countries, Canada, the US, China, Thailand, etc., [2] and the use of alternatives to antibiotics to promote health and reduce diseases has gained tremendous interest. Among the antibiotic alternatives, probiotics have been widely used in food animals for a long time. Probiotics are defined as “live microorganisms that, when administered in adequate amounts, confer a health benefit on the host” [3]. Probiotic products commonly contain one or more species belonging to the genera of Lactobacillus, Bacillus, Enterococcus, and Clostridium. Although probiotics provide beneficial effects on the health of both livestock and humans, particular concerns associated with their quality and safety have been raised.
Recently, several studies have demonstrated that the actual quality of several commercial probiotic products deviated from the declared label [4]. The common deviations included low levels of viable bacterial cells and misidentified species of microorganisms. The beneficial health effects of probiotics are associated with the number of viable bacterial cells, while their safety are species- and strain-dependent. Therefore, any deviations from the label claims could result in a loss of probiotic quality and benefits. Additionally, we should be aware of the risk of contamination of pathogenic bacteria (e.g., Salmonella spp. and Escherichia coli); it cannot be underestimated. Therefore, particular concerns have been raised for both the beneficial effects and potential health risks of probiotic products.
The presence of AMR bacteria and determinants in several probiotic products was previously reported [4]. Recent studies demonstrated that probiotic bacteria were resistant to various clinically important antibiotics and carried resistance determinants potentially transferred to commensal microbiota and pathogenic bacteria in the gut through horizontal gene transfer [5,6]. Therefore, the use of such probiotics in animal feed can pose a double-edged sword, leading to a wide distribution of AMR and failure in the implementations for combating AMR.
The regulations of probiotic products for humans and animals differ between countries. In Europe, the Regulation EC No. 1831/2003 was issued for the legislation of the authorization, use, monitoring, labelling, and packaging of feed additives [7]. In addition, the Qualified Presumption as Safe (QPS) was developed by the European Food Safety Authority (EFSA) for the safety assessment of micro-organisms intentionally introduced into human food and animal feed, considering the identity, history of use, virulence, and transferable resistance determinants [8]. In Thailand, the Animal Feed Quality Control Act B.E. 2558 has been launched; however, there is no specific regulation of probiotic products for animals in terms of viable bacterial number, species, and AMR determinants [9]. Most studies on probiotic products for food-producing animals have focused on testing the effectiveness, but not the safety, of probiotics. This will open up the chance of dispersing poor-quality products and introducing AMR determinants into the farms. Therefore, research studies to examine the microbiology quality of, and AMR in, probiotic products that are commercially available for food animals are required.
The aims of this study were to evaluate the microbiological quality and safety of probiotic products used for food animals, including number and species of probiotic bacteria, contamination of pathogenic bacteria, and the presence and transfer of AMR determinants.

2. Results

2.1. Numbers and Species of Probiotic Bacteria

Overall, 29 products (64.4%) had at least one discrepancy on the label, including lower number of viable cells (n = 11), misnaming of bacterial species (n = 26), and vague labelling (n = 3). The comparison between information given on labels and the observation in this study is shown in Table 1.
Among the 41 products tested number of viable cells, 11 products (26.8%) had a lower number of viable cells than their label claims. No viable Lactobacillus was found in some products (P12, P31, and P32). Thirty products (73.2%) contained viable cells approximately equivalent to or exceeded the declared contents, especially the products formulated by Bacillus and/or Enterococcus.
Out of the 45 products’ identified strains and species, 26 products (57.8%) comprised other species rather than those claimed on the contents. Twenty-two products claimed to contain members of the B. subtilis cluster (B. pumilus, B. amyloliquefaciens, and B. atrophaeus). Products P6 and P37 declared B. subtilis on their labels comprised B. licheniformis. B. sphaericus was detected in four products (P1, P12, P33, and P34), though was not listed on the product labels. B. amyloquefaciens was stated on the label of product P9 and the finding was members of the B. subtilis cluster. Product P24 and P25 declared B. cereus var. toyoi, and other Bacillus species were detected. L. rhamnosus and L. casei-group (L. casei and L. paracasei) were found in product P7 but these species were not listed on the label. Four products (P7, P12, P31, and P32) stated L. acidophilus on their product label, but none was found. Products P6, P31, and P32 were labeled S. faecium. Three products (P41, P44, and P45) were vaguely labelled, particularly lactic acid bacteria without specific species. Based on the PCR results, 41 products were not positive for Clostridium, except 4 products (P15, P16, P17, and P42) which were formulated with only Clostridium butyricum.

2.2. Contamination of E. coli and Salmonella in Whole Probiotic Products (n = 45)

None of the probiotic products tested (n = 45) were positive for E. coli and Salmonella.

2.3. Phenotypic AMR in the Bacterial Isolates (n = 64) from Probiotic Products

The MICs of 14 antimicrobials were analyzed in 64 probiotic bacterial isolates including Bacillus (n = 54), Enterococcus (n = 4), and Lactobacillus (n = 6). Thirty-three isolates (51.6%) were resistant to at least one antimicrobial agent. Overall, the resistance to chloramphenicol (20.3%) was highest among probiotic bacteria, followed by resistance to trimethoprim (17.2%), clindamycin (15.6%), sulfamethoxazole (15.6%), erythromycin (9.4%), vancomycin (9.4%), ampicillin (7.8%), tetracycline (7.8%), ciprofloxacin (6.3%), streptomycin (4.7%), and kanamycin (4.7%). All isolates were sensitive to gentamycin, meropenem, and rifampicin. The distribution of MICs of bacterial isolates from probiotic products is shown Table 2.
Among the Bacillus isolates, all B. subtilis (n = 8) and members of the B. subtilis cluster (n = 23) were phenotypically susceptible to all antimicrobials. All B. licheniformis isolates (n = 9) exhibited resistance to chloramphenicol and clindamycin. Five B. licheniformis isolates showed high resistance to erythromycin with MIC > 128 µg/mL. Of the four B. sphaericus isolates, one was resistant to chloramphenicol, erythromycin, and clindamycin, followed by three others which were resistant to trimethoprim and sulfamethoxazole. Two isolates of other Bacillus species were resistant to chloramphenicol, tetracycline, trimethoprim, and sulfamethoxazole. Four Enterococcus isolates were sensitive to all antimicrobials tested, except sulfamethoxazole. In terms of the six Lactobacillus isolates, only L. rhamnosus isolate was susceptible to all antimicrobials, except vancomycin. The other five isolates showed resistance to ampicillin, streptomycin, kanamycin, chloramphenicol, tetracycline, trimethoprim, ciprofloxacin, and vancomycin.

2.4. Presence of AMR Genes in Whole Probiotic Products (n = 45)

In total, 16 of the 45 products (35.5%) were positive for at least one AMR gene (Table 1). Fourteen products had 1–7 AMR genes. Two products (P12 and P43) contained 12 and 13 AMR genes, respectively. The genes encoding resistance to aminoglycoside (ant(4′)-Ia), quinolone (oqxAB), and sulfonamide (sul1) were found most frequently, being present in 6/45 (13.3%) products. All positive PCR products were correctly confirmed through sequencing. AMR phenotypes in most bacterial isolates were not correlated with AMR genes found in probiotic products.

2.5. Transfer of AMR Genes

The conjugation experiments showed that only three Lactobacillus isolates, including one L. delbrueckii and two other Lactobacillus species, could horizontally transfer streptomycin resistance to the E. coli recipients. The MICs of streptomycin for transconjugants increased more than four-fold, from 4 µg/mL to 512 µg/mL. No new transconjugants were found to contain streptomycin resistance in the genes tested.

3. Discussion

One of the major findings in this study was the inadequate quality and the presence of AMR genes in probiotics commercially available for food animals.
A total of 21 products were collected from original bags or bottles, whereas 24 others were collected from opened bags in feed mills or farms. The probiotics collected from opened bags could be implicated with several problems such as a decrease in microbiological quality, contamination by other bacteria or AMR determinants during manufacturing or unsuitable storage conditions.
Numerous (n = 29) probiotic products showed microbiological quality deficiencies in this study, particularly low viable cells (n = 11), the misidentification of bacterial species (n = 26), and inadequate descriptions of label contents (n = 3). The health benefits of probiotics depend on the number of viable organisms; therefore, any decrease may negatively implicate the effectiveness of probiotics. The low number of viable cells could be due to poor quality control at some stages of production, including the drying process, strain-dependent loss of viability, and packaging, and storage conditions, in agreement with previous studies in probiotics used for humans and animals [4,11]. Additional factors during sample handling may influence the discrepancies observed, e.g., the representativeness of the samples collected, the homogeneity of the samples, etc. Probiotics in powder form may cause problems with uniform distribution. However, both the powdered and liquid probiotic products included in this study were carefully mixed before withdrawing analytical samples. It was suggested that a minimum of 10 g of dry samples should be used to ensure the representativeness of the test sample [12]. In this study, 20 g of each powdered sample was tested in duplicate. Therefore, this covered an uncertainty of 5% and satisfied the recommendation.
The probiotic effects are different among bacterial strains and species. Different strains of the same species produce different health beneficial effects, so the label should specify the strains of species included. However, the present study revealed that several products were mislabeled at the bacterial species level and no organisms were identified at strain level. In addition, some vague descriptions of label contents did not contain bacterial names such as lactic acid bacteria. Previous studies showed that many products comprised other Bacillus species misidentified as B. subtilis [4], similar to the results of the present findings. B. subtiblis was the most common misidentified species. The B. subtilis cluster, B. licheniformis, B. sphaercius, and other Bacillus species were labeled as B. subtilis. Such mislabeling of bacterial species was possibly the use of unreliable identification methods by producers. Due to the limitations of the differentiation ability of ARDRA, B. amyloliquefaciens and B. cereus var. toyoi could not be confirmed, so the products (P9, P24, and P25) claiming to contain these species could not be defined as having been mislabelled. S. faecium was reclassified as E. faecium in 1984 [13]; however, mislabeling E. faecium as S. faecium was still common. Such inadequate labelling certainly raises concerns about the producers’ inattention to detail, which does not provide much confidence in using probiotics. The use of Enterococcus and Clostridium strains as probiotics has recently gained popularity; however, none of them are considered as generally safe (GRAS) or QPS due to their association with human illnesses, virulence factors, and AMR genes [8]. Thus, the manufacturers should scrutinize them before using them as probiotics.
Undetected foodborne pathogens, Salmonella and E. coli, could be due to no contamination of pathogenic bacteria in raw materials and unsuitable conditions for growth (e.g., the dryness of probiotic products). The presence of pathogenic bacteria should be controlled during the probiotic production process because of their ability to carry and transfer AMR genes inter- and intra-species. The latter may lead to the spread of AMR bacteria and their determinants in livestock.
The Lactobacillus and Bacillus isolates generally showed resistance to a broad range of antibiotics, as previously observed [4,14]. Antimicrobial susceptibility among Lactobacillus and Bacillus isolates was species-specific. B. licheniformis isolates’ high resistance to chloramphenicol and clindamycin was attributed to the intrinsic resistance characteristics of this species due to the uniform distributions of the MIC values [15]. In contrast, the B. subtilis and members of the B. subtilis cluster were completely sensitive to all antimicrobials tested. Another study showed that the B. subtilis used for oral bacteriotherapy was resistant to chloramphenicol, tetracycline, rifampicin, and streptomycin [16]. Lactobacillus species have possessed various intrinsic mechanisms of resistance to aminoglycosides (neomycin, kanamycin, streptomycin, and gentamicin), glycopeptides (vancomycin), nucleic acid synthesis inhibitors (quinolones and fluroquinolones), and folic acid inhibitors (trimethoprim and sulfamethoxazole) [17]. However, Lactobacillus strains often contain plasmids that play a role in the dissemination of AMR genes [4,5,6]. In this study, streptomycin resistance determinants could be transferred from Lactobacillus to E. coli via conjugation but none of the AMR genes were detected. This means these species may carry other streptomycin resistance genes that were not examined in this study. Although E. feacium isolates in this study were susceptible to almost clinically important antimicrobials, the use of Enterococcus for probiotics should be considered due to the rise in nosocomial infections with vancomycin-resistant enterococci (VRE) [18].
As per the EFSA guidelines, the assessment of a candidate microorganism for QPS status necessitates a thorough examination of the AMR determinants and their potential mobility. Notably, β-lactamase genes (blaOXA-1-like and blaSHV) and plasmid-mediated quinolone resistance genes (PMQR) are prevalent in Enterobacteriaceae isolated from food animals but infrequently detected in Gram-positive bacteria [19,20,21,22]. Our investigation revealed the consistent presence of several aminoglycoside genes in Gram-positive bacteria, such as aadE, aac(3)-II, aac(6′)-aph(2”), aph(3′)-IIIa, and ant(4′)-Ia. Conversely, some genes, including aadA1, aadA2, and strA-strB, were identified in both Gram-positive and Gram-negative bacteria [6,23,24].
Despite stringent regulations on aminoglycoside use and the prohibition of chloramphenicol in animal husbandry, the encoding of these antimicrobials in bacterial species may result from co-selection with other genes in the same mobile genetic element. For instance, the close association of cmlA with other gene cassettes (aadA1 and aadA2) within class 1 integrons underscores the chloramphenicol co-selection in the absence of selective pressure. Various genes, such as sul1 and dfr, commonly associated with class 1 integrons and gene cassettes and facilitating the dissemination of MDR determinants [25] tetA and tetB, have been previously detected in Salmonella and E. coli from diverse sources [26,27], while tetM and tetL are prevalent in Gram-positive bacteria [5]. The mef(A) gene exhibits predominance in both Gram-negative and Gram-positive bacteria [28,29]. Notably, vanC demonstrates intrinsic, non-transferable, low-level resistance to vancomycin [18]. The identification of AMR genes in imported products raises concerns, indicating a global circulation of these genes during trade. Possible origins include the microorganism sources used in probiotic production and contamination during manufacturing or storage, particularly in products from opened bags at feed mills or farms.
The uncorrelation between AMR phenotypes of bacterial isolates and AMR genotypes of probiotic products may be possibly explained by the following reasons. First, AMR genes could be derived from other bacteria-contaminated probiotic products. Second, AMR genes conferring resistance to bacterial isolates were not tested in this study. Last, probiotic strains may carry AMR genes, but the resistance phenotypes cannot be expressed. Therefore, AMR genes should be systemically tested in not only probiotic strains but also probiotic products before launching to the market to provide an overview of sources of AMR genes in order to have a timely intervention.
Several issues of this study should be considered when interpreting the results. This study is qualitative, not quantitative, therefore the presence of transferable AMR genes in probiotics was detected, but the amount of genetic material per dose of probiotic was not quantified. A quantitative study should be carried out for the risk assessment of AMR transmission. The presence of AMR genes in bacterial isolates was not investigated in this study due to it not being a requirement for the transfer of genetic material. Additional studies for microorganisms harboring certain AMR genes are necessary to evaluate the correspondence between the genotypic AMR and phenotypic resistance in bacterial isolates.

4. Materials and Methods

4.1. Sample Collection (n = 45)

A total of 45 commercial probiotic products for food animals, including 2 liquid products (P1 and P7) and 43 powder products, were collected during March 2019–December 2021 (Table 1). All, except for P1, P6, P7, P33, and P34, were imported products. The probiotic product distributors who agreed to participate in the project submitted the products to the laboratory at the Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University. Of the 45 products, 24 products were collected from opened bags at feed mills or farms (P23–P42), while the others (n = 21) were obtained from original whole packages (P1–P22 and P43–P45). Each sample was mixed to ensure homogeneity before taking portions. At least 100 g or milliliters of each sample were aseptically collected, stored in either lightproof bottles or bags, and submitted to the laboratory within 24 h. All products were kept at room temperature within 7 days of being collected. The samples from the same batch were avoided. All samples tested were at least 3 months before the expiration date. The information declared on the leaflet, including numbers of bacterial cells, bacterial species, and expiry date was collected. An aseptic technique was applied for sample collection and throughout the experiment.

4.2. PCR and Nucleotide Sequencing

Whole cell DNA template was prepared from all bacterial isolates using whole cell boiling procedure [30]. DNA from probiotic products was directly extracted using GeneJETTM Genomic DNA Purification Kit (Thermo Scientific, Waltham, MA, USA). All PCR reactions were performed using TopTaq Master Mix (Qiagen, Hilden, Germany) according to manufacturer’s instructions. The primers used in this study are shown in Tables S1 and S2.

4.3. Determination of Microbiological Quality (n = 45)

4.3.1. Enumeration, Isolation, and Species Confirmation of Lactobacillus, Bacillus, and Enterococcus (n = 41)

Forty-one probiotic products (n = 41), except P15, P16, P17, and P44, were examined for number of viable cells including Lactobacillus, Bacillus, and Enterococcus. Prior to the isolation and enumeration of target bacteria, all samples (n = 41), either liquid or dried products, were prepared as follows. For dried products, 20 g of each sample was dissolved in 180 mL peptone saline diluting fluid (PSD; peptone 1.0 g and NaCl 8.5 g in 1000 mL distilled water) [12]. For liquid products, 1 mL of each liquid product was diluted in 9 mL PSD. The samples were 10-fold serially diluted and the bacterial count for each product was performed in duplicate.
Enumeration and isolation of Lactobacillus was performed by pour plate method using De Man, Rogosa, and Sharpe (MRS) agar (Difco®, Sparks, MD, USA) [31]. Briefly, 1 mL of each diluted sample was mixed with 15 mL molten MRS agar in a petri dish and incubated under microaerophilic conditions at 30 °C for 48–72 h. The Bacillus and Enterococcus were isolated and counted using the spread plate method using Mannitol Egg Yolk Polymyxin (MYP) agar (Difco®) [32] and Bile Aesculin agar (BEA) (Oxoid®, Hampshire, UK) [33], respectively. A 100 μL diluted sample was spread on MYP agar for Bacillus and BEA agar for Enterococcus and incubated at 37 °C for 24 h. For each product, the number of bacterial colonies were the means of duplicated counts. Three to five typical colonies of each target bacteria were selected for further identification of species. All isolates were stored in 20% glycerol at −80 °C.
The Bacillus (n = 190), Lactobacillus (n = 20), and Enterococcus (n = 20) isolates were confirmed for their genus and species by PCR. The genus and species of Bacillus were identified using Amplified Ribosomal DNA Restriction Analysis (ARDRA) [34]. For Lactobacillus and Enterococcus, the genus was detected using simplex PCR (Table S1), while the species were confirmed by multiplex PCR (Table S2).

4.3.2. Detection of Clostridium (n = 45)

The presence of Clostridium was detected in DNA from all products (n = 45), of which only 4 products (P15, P16, P17, and P44) claimed to contain Clostridium species on the labels. Simplex PCR assays were performed to detect genus and species as previously described (Table S1).

4.3.3. Determination of Salmonella and E. coli in Whole Probiotic Products (n = 45)

All samples (n = 45) were examined for the presence of Salmonella and E. coli. The Salmonella strains were isolated using the standard methods described in ISO 6579:2002(en) [35]. All Salmonella isolates were serotyped by slide agglutination based on the Kauffmann–White schemes using commercially available antiserum [36]. A single colony of each serotype from each positive sample was collected. The E. coli strains were isolated and biochemically confirmed using standard protocols according to the Bacteriological Analytical Manual [37]. One colony from each positive sample was collected.

4.4. Determination of AMR Characteristics (n = 45)

4.4.1. Antimicrobial Susceptibility Testing for Probiotic Bacterial Isolates

One isolate of each probiotic species found in each positive sample was collected. A total of 64 probiotic bacterial isolates, including Bacillus (n = 54), Lactobacillus (n = 6), and Enterococcus (n = 4), were examined for their susceptibilities to 14 antimicrobial agents, including ampicillin (AMP), meropenem (MER), streptomycin (STR), kanamycin (KAN), gentamicin (GEN), chloramphenicol (CHL), tetracycline (TET), erythromycin (ERY), vancomycin (VAN), trimethoprim (TRI), sulfamethoxazole (SUL), ciprofloxacin (CIP), clindamycin (CLI), and rifampicin (RIF), by determining the minimum inhibitory concentrations (MICs). All antimicrobial agents were purchased from Sigma-Aldrich® (Steinheim, Germany). MICs of Lactobacillus were determined by broth microdilution method using lactic acid bacterial (LAB) susceptibility test medium [38]. For Bacillus and Enterococcus, the determination of MICs was performed using a two-fold agar dilution method [39]. The interpretive criteria used are shown in Table 2. Priority was given to clinical breakpoints according to Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) [40,41]. When the breakpoints were not available, the epidemiology cut-off (ECOFF) values, according to EUCAST and EFSA Panel, were used [41,42]. It should be noted that clinical breakpoints are used to identify “clinical resistance” where isolates are not inhibited by antibiotics with standard dosing regimens and normal dosage schedules. ECOFFs serve to define “microbial resistance” where isolates are defined as non-wild type by the presence of an acquired or mutational antibiotic resistance mechanism and does not necessarily result in treatment failure. Sources of interpretive criteria used are as follows: Lactobacillus, meropenem/sulfamethozole—CBP [40], ampicillin/streptomycin/kanamycin/gentamicin/chloramphenicol/tetracycline/erythromycin/vancomycin/clindamycin/trimethoprim/ciprofloxacin/rifampicin—EFSA [42], Enterococcus, sulfamethoxazole—CBE [40], ampicillin/streptomycin/kanamycin/gentamicin/chloramphenicol/tetracycline/erythromycin/vancomycin/clindamycin—EUCAST [41], and meropenem/ciprofloxacin/trimethoprim/rifampicin—EFSA [42]; and Bacillus, meropenem/sulfamethoxazole—CBP [40], streptomycin/kanamycin/gentamicin/chloramphenicol/tetracycline/erythromycin/vancomycin/clindamycin—EUCAST [41], and ampicillin/trimethoprim/ciprofloxacin/rifampicin—EFSA [42]. E. coli ATCC 25922, Staphylococcus aureus ATCC 29213, and Enterococcus faecalis ATCC 29212 were used as quality control.

4.4.2. Detection of AMR Genes in Probiotic Products (n = 45)

The presence of 112 genes encoding resistance to clinically important antibiotics was screened in whole probiotic products (n = 45). The PCR products of all positive samples were submitted for nucleotide sequencing at First Base Laboratories (Selangor Darul Ehsan, Malaysia). The DNA sequencing results were compared to reference sequences published on GeneBank Database using BLAST algorithm (www.ncbi.nlm.nih.gov, accessed on 26 January 2024).

4.4.3. Conjugation Experiments

The Lactobacillus (n = 5) and Bacillus (n = 17) isolates exhibiting resistance phenotype were selected to test the transferability of AMR genes using the biparental mating method [43]. Horizontal transfer of chloramphenicol, tetracycline, trimethoprim, and clindamycin resistance was tested for Bacillus, while that of ampicillin, streptomycin, kanamycin, chloramphenicol, tetracycline, and ciprofloxacin resistance was examined for Lactobacillus. The spontaneous rifampicin-resistant E. coli K12 strain MG1655 (MIC = 256 µg/mL) was used as recipient. Non-selective media used for filter mating were Luria-Bertani (LB) media and Brain Heart Infusion (BHI) media (Difco®, Sparks, MD, USA) for Bacillus and Lactobacillus, respectively. The E. coli transconjugants were confirmed on Eosin Methylene Blue (EMB) agar (Difco®) containing ampicillin (100 µg/mL), streptomycin (50 µg/mL), kanamycin (35 µg/mL), chloramphenicol (25 µg/mL), tetracycline (10 µg/mL), trimethoprim (100 µg/mL), and ciprofloxacin (0.064 µg/mL). All transconjugants were examined for their MICs for all antibiotics, as mentioned above. The transconjugants with a four-fold MIC increase compared to the recipients were tested for AMR determinants from donors using PCR, as described above.

5. Conclusions

The probiotic products tested in this study were qualitatively or quantitatively unsatisfactory as claimed on the labels. Inadequate label descriptions were observed, including spelling errors and none-specific strains. The antimicrobial resistance among probiotic isolates appeared to vary among species. Streptomycin resistances were transferred horizontally, but no resistant streptomycin was detected. Most of the AMR genes detected in this study are transferable and have been frequently observed in either Gram-positive or Gram-negative bacteria or both. The findings can be used to support improvements in the regulation of probiotic products by the relevant authorities. The manufacturers and producers should have developed policies to control the quality of their probiotic products. They should quarantine the number of viable organisms declared until the expired date. The genus, species, and strains of probiotic organisms should be accurately identified. Only nontoxic and nonpathogenic strains that do not harbor AMR determinants can be used for probiotic products. The farmers and other food-animal producers should wisely choose the probiotic products that are approved to be sold on the market by the relevant authorities. The data obtained can be also used as part of AMR risk assessment in probiotic products.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/antibiotics13020148/s1, Table S1: Primers used for determination of genus and species of probiotic bacteria; Table S2: Primers used for detection of AMR genes. References [14,19,20,21,22,26,28,34,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87] are cited in the Supplementary Materials.

Author Contributions

Conceptualization, R.C. and H.M.T.; methodology, R.C. and H.M.T.; formal analysis, R.C. and H.M.T.; investigation, H.M.T. and R.P.; resources, R.C.; writing—original draft preparation, H.M.T.; writing—review and editing, R.C., H.M.T. and S.T.H.; visualization, H.M.T.; supervision, R.C.; project administration, R.C.; funding acquisition, R.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was financially supported by the National Research Council of Thailand (NRCT) Project ID N42A660897. It was partially funded by Huvepharma (Thailand) Company. H.M.T was a recipient of the Graduate Scholarship Programme for ASEAN and NON-ASEAN countries, Chulalongkorn University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article and Supplementary Materials.

Conflicts of Interest

The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. McEwen, S.A.; Fedorka-Cray, P.J. Antimicrobial Use and Resistance in Animals. Clin. Infect. Dis. 2002, 34 (Suppl. S3), S93–S106. [Google Scholar] [CrossRef] [PubMed]
  2. Rahman, R.T.; Fliss, I.; Biron, E. Insights in the Development and Uses of Alternatives to Antibiotic Growth Promoters in Poultry and Swine Production. Antibiotics 2022, 11, 766. [Google Scholar] [CrossRef] [PubMed]
  3. FAO/WHO. Joint FAO/WHO Working Group Report on Drafting Guidelines for the Evaluation of Probiotics in Food, London, Ontario, Canada, 30 April–1 May 2002; WHO: Geneva, Switzerland, 2002. [Google Scholar]
  4. Wannaprasat, W.; Koowatananukul, C.; Ekkapobyotin, C.; Chuanchuen, R. Quality analysis of commercial probiotic products for food animals. Southeast Asian J. Trop. Med. Public Health 2009, 40, 1103. [Google Scholar] [PubMed]
  5. Hummel, A.; Holzapfel, W.H.; Franz, C.M. Characterisation and transfer of antibiotic resistance genes from enterococci isolated from food. Syst. Appl. Microbiol. 2007, 30, 1–7. [Google Scholar] [CrossRef] [PubMed]
  6. Ouoba, L.I.I.; Lei, V.; Jensen, L.B. Resistance of potential probiotic lactic acid bacteria and bifidobacteria of African and European origin to antimicrobials: Determination and transferability of the resistance genes to other bacteria. Int. J. Food Microbiol. 2008, 121, 217–224. [Google Scholar] [CrossRef] [PubMed]
  7. Cheli, F.; Gallo, R.; Battaglia, D.; Dell’orto, V. EU Legislation on Feed Related Issues: An Update. Ital. J. Anim. Sci. 2013, 12, e48. [Google Scholar] [CrossRef]
  8. European Commission. Opinion of the Scientific Committee on Animal Nutrition on the Criteria for Assessing the Safety of Micro-Organisms Resistant to Antibiotics of Human Clinical and Veterinary Importance; European Commission: Brussels, Belgium, 2003; Available online: https://ec.europa.eu/food/fs/sc/scan/out108_en.pdf (accessed on 26 January 2024).
  9. Nuangmek, A.; Rojanasthien, S.; Yamsakul, P.; Tadee, P.; Eiamsam-ang, T.; Thamlikitkul, V.; Tansakul, N.; Suwan, M.; Prasertsee, T.; Chotinun, S.; et al. Perspectives on antimicrobial use in pig and layer farms in thailand: Legislation, policy, regulations and potential. Vet. Integr. Sci. 2021, 19, 1–21. [Google Scholar] [CrossRef]
  10. CLSI. Performance standards for antimicrobial susceptibility Testing, 30th ed.; CLSI Supplement M100; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2020. [Google Scholar]
  11. Weese, J.S.; Martin, H. Assessment of commercial probiotic bacterial contents and label accuracy. Can. Vet. J. 2011, 52, 43. [Google Scholar]
  12. ISO 6887-1; Microbiology of the Food Chain—Preparation of Test Samples, Initial Suspension and Decimal Dilutions for Microbiological Examination—Part 1: General Rules for the Preparation of the Initial Suspension and Decimal Dilutions. International Organisation for Standardization: Geneva, Switzerland, 2017.
  13. Schleifer, K.H.; Kilpper-Bälz, R. Transfer of Streptococcus faecalis and Streptococcus faecium to the Genus Enterococcus nom. rev. as Enterococcus faecalis comb. nov. and Enterococcus faecium comb. nov. Int. J. Syst. Evol. Microbiol. 1984, 34, 31–34. [Google Scholar] [CrossRef]
  14. Klare, I.; Konstabel, C.; Werner, G.; Huys, G.; Vankerckhoven, V.; Kahlmeter, G.; Hildebrandt, B.; Müller-Bertling, S.; Witte, W.; Goossens, H. Antimicrobial susceptibilities of Lactobacillus, Pediococcus and Lactococcus human isolates and cultures intended for probiotic or nutritional use. J. Antimicrob. Chemother. 2007, 59, 900–912. [Google Scholar] [CrossRef]
  15. Adimpong, D.B.; Sørensen, K.I.; Thorsen, L.; Stuer-Lauridsen, B.; Abdelgadir, W.S.; Nielsen, D.S.; Derkx, P.M.F.; Jespersen, L. Antimicrobial Susceptibility of Bacillus Strains Isolated from Primary Starters for African Traditional Bread Production and Characterization of the Bacitracin Operon and Bacitracin Biosynthesis. Appl. Environ. Microbiol. 2012, 78, 7903–7914. [Google Scholar] [CrossRef]
  16. Hoa, N.T.; Baccigalupi, L.; Huxham, A.; Smertenko, A.; Van, P.H.; Ammendola, S.; Ricca, E.; Cutting, S.M. Characterization of Bacillus Species Used for Oral Bacteriotherapy and Bacterioprophylaxis of Gastrointestinal Disorders. Appl. Environ. Microbiol. 2000, 66, 5241–5247. [Google Scholar] [CrossRef] [PubMed]
  17. Abriouel, H.; Casado Muñoz, M.D.C.; Lavilla Lerma, M.L.; Pérez Montoro, B.; Bockelmann, W.; Pichner, R.; Kabisch, J.; Cho, G.-S.; Franz, C.M.A.P.; Galvez, A.; et al. New insights in antibiotic resistance of Lactobacillus species from fermented foods. Food Res. Int. 2015, 78, 465–481. [Google Scholar] [CrossRef] [PubMed]
  18. Miller, W.R.; Munita, J.M.; Arias, C.A. Mechanisms of antibiotic resistance in enterococci. Expert Rev. Anti-Infect. Ther. 2014, 12, 1221–1236. [Google Scholar] [CrossRef] [PubMed]
  19. Hasman, H.; Mevius, D.; Veldman, K.; Olesen, I.; Aarestrup, F.M. β-Lactamases among extended-spectrum β-lactamase (ESBL)-resistant Salmonella from poultry, poultry products and human patients in The Netherlands. J. Antimicrob. Chemother. 2005, 56, 115–121. [Google Scholar] [CrossRef] [PubMed]
  20. Kim, H.B.; Wang, M.; Park, C.H.; Kim, E.C.; Jacoby, G.A.; Hooper, D.C. oqxAB encoding a multidrug efflux pump in human clinical isolates of Enterobacteriaceae. Antimicrob. Agents Chemother. 2009, 53, 3582–3584. [Google Scholar] [CrossRef] [PubMed]
  21. Park, C.H.; Robicsek, A.; Jacoby, G.A.; Sahm, D.; Hooper, D.C. Prevalence in the United States of aac (6′)-Ib-cr encoding a ciprofloxacin-modifying enzyme. Antimicrob. Agents Chemother. 2006, 50, 3953–3955. [Google Scholar] [CrossRef] [PubMed]
  22. Robicsek, A.; Strahilevitz, J.; Sahm, D.F.; Jacoby, G.A.; Hooper, D.C. qnr Prevalence in Ceftazidime-Resistant Enterobacteriaceae Isolates from the United States. Antimicrob. Agents Chemother. 2006, 50, 2872–2874. [Google Scholar] [CrossRef] [PubMed]
  23. Khosravi, A.D.; Jenabi, A.; Montazeri, E.A. Distribution of genes encoding resistance to aminoglycoside modifying enzymes in methicillin-resistant Staphylococcus aureus (MRSA) strains. Kaohsiung J. Med. Sci. 2017, 33, 587–593. [Google Scholar] [CrossRef]
  24. Li, Y.; Li, L.; Kromann, S.; Chen, M.; Shi, L.; Meng, H. Antibiotic resistance of Lactobacillus spp. and Streptococcus thermophilus isolated from Chinese fermented milk products. Foodborne Pathog. Dis. 2019, 16, 221–228. [Google Scholar] [CrossRef]
  25. Chuanchuen, R.; Khemtong, S.; Padungtod, P. Occurrence of qacE/qacED1 genes and their correlation with class 1 integrons in Salmonella enterica isolates from poultry and swine. Southeast Asian J. Trop. Med. Public Health 2007, 38, 855–862. [Google Scholar]
  26. Chuanchuen, R.; Pathanasophon, P.; Khemtong, S.; Wannaprasat, W.; Padungtod, P. Susceptibilities to Antimicrobials and Disinfectants in Salmonella Isolates Obtained from Poultry and Swine in Thailand. J. Vet. Med. Sci. 2008, 70, 595–601. [Google Scholar] [CrossRef] [PubMed]
  27. Seifi, S.; Khoshbakht, R. Prevalence of tetracycline resistance determinants in broiler isolated Escherichia coli in Iran. Br. Poult. Sci. 2016, 57, 729–733. [Google Scholar] [CrossRef] [PubMed]
  28. Chen, L.; Song, Y.; Wei, Z.; He, H.; Zhang, A.; Jin, M. Antimicrobial Susceptibility, Tetracycline and Erythromycin Resistance Genes, and Multilocus Sequence Typing of Streptococcus suis Isolates from Diseased Pigs in China. J. Vet. Med. Sci. 2013, 75, 583–587. [Google Scholar] [CrossRef] [PubMed]
  29. Ojo, K.K.; Ulep, C.; Van Kirk, N.; Luis, H.; Bernardo, M.; Leitao, J.; Roberts, M.C. The mef (A) gene predominates among seven macrolide resistance genes identified in gram-negative strains representing 13 genera, isolated from healthy Portuguese children. Antimicrob. Agents Chemother. 2004, 48, 3451–3456. [Google Scholar] [CrossRef] [PubMed]
  30. Lévesque, C.; Piché, L.; Larose, C.; Roy, P.H. PCR mapping of integrons reveals several novel combinations of resistance genes. Antimicrob. Agents Chemother. 1995, 39, 185–191. [Google Scholar] [CrossRef] [PubMed]
  31. ISO 15214; Microbiology of Food and Animal Feeding Stuffs: Horizontal Method for the Emumeration [sic] of Mesophilic Lactic Acid Bacteria: Colony-Count Technique at 30 °C. International Organisation for Standardization: Geneva, Switzerland, 1998.
  32. ISO 7932; Microbiology of Food and Animal Feeding Stuffs-Horizontal Method for the Enumeration of Presumptive Bacillus cereus-Colony-Count Technique at 30 °C. International Organisation for Standardization: Geneva, Switzerland, 2004.
  33. Domig, K.J.; Mayer, H.K.; Kneifel, W. Methods used for the isolation, enumeration, characterisation and identification of Enterococcus spp.: 2. Pheno- and genotypic criteria. Int. J. Food Microbiol. 2003, 88, 165–188. [Google Scholar] [CrossRef]
  34. Wu, X.-Y.; Walker, M.J.; Hornitzky, M.; Chin, J. Development of a group-specific PCR combined with ARDRA for the identification of Bacillus species of environmental significance. J. Microbiol. Methods 2006, 64, 107–119. [Google Scholar] [CrossRef] [PubMed]
  35. ISO 6579; Microbiology of Food and Animal Feeding Stuffs–Horizontal Method for the Detection of Salmonella spp. International Organisation for Standardization: Geneva, Switzerland, 2002.
  36. Grimont, P.A.; Weill, F.-X. Antigenic Formulae of the Salmonella Serovars; WHO Collaborating Centre for Reference and Research on Salmonella: Geneva, Switzerland, 2007; Volume 9, pp. 1–166. [Google Scholar]
  37. Feng, F.; Weagant, S.D.; Grant, M.A.; Burkhardt, W. Chapter 4: Enumeration of Escherichia coli and the Coliform Bacteria. In Bacteriological Analytical Manual, 8th ed.; U.S. Food and Drug Administration (FDA): Silver Spring, MD, USA, 2002; p. 10903. [Google Scholar]
  38. Klare, I.; Konstabel, C.; Müller-Bertling, S.; Reissbrodt, R.; Huys, G.; Vancanneyt, M.; Swings, J.; Goossens, H.; Witte, W. Evaluation of New Broth Media for Microdilution Antibiotic Susceptibility Testing of Lactobacilli, Pediococci, Lactococci, and Bifidobacteria. Appl. Environ. Microbiol. 2005, 71, 8982–8986. [Google Scholar] [CrossRef]
  39. CLSI. Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated from Animals, 4th ed.; CLSI Supplement VET08; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2018. [Google Scholar]
  40. CLSI. Methods for Antimicrobial Dilution and Disk Susceptibility Testing of Infrequently Isolated or Fastidious Bacteria, 3rd ed.; CLSI Guideline M45; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2015. [Google Scholar]
  41. EUCAST. Breakpoint Tables for Interpretation of MICs and Zone Diameters, European Committee on Antimicrobial Susceptibility Testing. 2020. Available online: https://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_14.0_Breakpoint_Tables.pdf (accessed on 26 January 2024).
  42. ESFA. Guidance on the assessment of bacterial susceptibility to antimicrobials of human and veterinary importance. EFSA J. 2012, 10, 2740. [Google Scholar]
  43. Gevers, D.; Huys, G.; Swings, J. In vitro conjugal transfer of tetracycline resistance from Lactobacillus isolates to other Gram-positive bacteria. FEMS Microbiol. Lett. 2003, 225, 125–130. [Google Scholar] [CrossRef] [PubMed]
  44. Nakagawa, T.; Shimada, M.; Mukai, H.; Asada, K.; Kato, I.; Fujino, K.; Sato, T. Detection of alcohol-tolerant hiochi bacteria by PCR. Appl. Environ. Microbiol. 1994, 60, 637–640. [Google Scholar] [CrossRef] [PubMed]
  45. Dubernet, S.; Desmasures, N.; Guéguen, M. A PCR-based method for identification of lactobacilli at the genus level. FEMS Microbiol. Lett. 2002, 214, 271–275. [Google Scholar] [CrossRef]
  46. Kwon, H.S.; Yang, E.H.; Yeon, S.W.; Kang, B.H.; Kim, T.Y. Rapid identification of probiotic Lactobacillus species by multiplex PCR using species-specific primers based on the region extending from 16S rRNA through 23S rRNA. FEMS Microbiol. Lett. 2004, 239, 267–275. [Google Scholar] [CrossRef] [PubMed]
  47. Ke, D.; Picard, F.J.; Martineau, F.; Ménard, C.; Roy, P.H.; Ouellette, M.; Bergeron, M.G. Development of a PCR Assay for Rapid Detection of Enterococci. J. Clin. Microbiol. 1999, 37, 3497–3503. [Google Scholar] [CrossRef]
  48. Jackson, C.R.; Fedorka-Cray, P.J.; Barrett, J.B. Use of a Genus- and Species-Specific Multiplex PCR for Identification of Enterococci. J. Clin. Microbiol. 2004, 42, 3558–3565. [Google Scholar] [CrossRef]
  49. Dhalluin, A.; Lemée, L.; Pestel-Caron, M.; Mory, F.; Leluan, G.; Lemeland, J.-F.; Pons, J.-L. Genotypic Differentiation of Twelve Clostridium Species by Polymorphism Analysis of the Triosephosphate Isomerase (tpi) Gene. Syst. Appl. Microbiol. 2003, 26, 90–96. [Google Scholar] [CrossRef]
  50. Kikuchi, E.; Miyamoto, Y.; Narushima, S.; Itoh, K. Design of Species-Specific Primers to Identify 13 Species of Clostridium Harbored in Human Intestinal Tracts. Microbiol. Immunol. 2002, 46, 353–358. [Google Scholar] [CrossRef]
  51. Batchelor, M.; Hopkins, K.; Threlfall, E.J.; Clifton-Hadley, F.A.; Stallwood, A.D.; Davies, R.H.; Liebana, E. bla CTX-M genes in clinical Salmonella isolates recovered from humans in England and Wales from 1992 to 2003. Antimicrob. Agents Chemother. 2005, 49, 1319–1322. [Google Scholar] [CrossRef]
  52. Dallenne, C.; Da Costa, A.; Decré, D.; Favier, C.; Arlet, G. Development of a set of multiplex PCR assays for the detection of genes encoding important β-lactamases in Enterobacteriaceae. J. Antimicrob. Chemother. 2010, 65, 490–495. [Google Scholar] [CrossRef]
  53. Muzaheed Doi, Y.; Adams-Haduch, J.M.; Endimiani, A.; Sidjabat, H.E.; Gaddad, S.M.; Paterson, D.L. High prevalence of CTX-M-15-producing Klebsiella pneumoniae among inpatients and outpatients with urinary tract infection in Southern India. J. Antimicrob. Chemother. 2008, 61, 1393–1394. [Google Scholar] [CrossRef] [PubMed]
  54. Kaase, M.; Lenga, S.; Friedrich, S.; Szabados, F.; Sakinc, T.; Kleine, B.; Gatermann, S. Comparison of phenotypic methods for penicillinase detection in Staphylococcus aureus. Clin. Microbiol. Infect. 2008, 14, 614–616. [Google Scholar] [CrossRef]
  55. Nakagawa, S.; Taneike, I.; Mimura, D.; Iwakura, N.; Nakayama, T.; Emura, T.; Kitatsuji, M.; Fujimoto, A.; Yamamoto, T. Gene sequences and specific detection for Panton-Valentine leukocidin. Biochem. Biophys. Res. Commun. 2005, 328, 995–1002. [Google Scholar] [CrossRef] [PubMed]
  56. Poirel, L.; Walsh, T.R.; Cuvillier, V.; Nordmann, P. Multiplex PCR for detection of acquired carbapenemase genes. Diagn. Microbiol. Infect. Dis. 2011, 70, 119–123. [Google Scholar] [CrossRef] [PubMed]
  57. Yamane, K.; Wachino, J.-I.; Suzuki, S.; Arakawa, Y. Plasmid-Mediated qepA Gene among Escherichia coli Clinical Isolates from Japan. Antimicrob. Agents Chemother. 2008, 52, 1564–1566. [Google Scholar] [CrossRef] [PubMed]
  58. Wang, M.; Guo, Q.; Xu, X.; Wang, X.; Ye, X.; Wu, S.; Hooper, D.C.; Wang, M. New plasmid-mediated quinolone resistance gene, qnrC, found in a clinical isolate of Proteus mirabilis. Antimicrob. Agents Chemother. 2009, 53, 1892–1897. [Google Scholar] [CrossRef] [PubMed]
  59. Cavaco, L.M.; Hasman, H.; Xia, S.; Aarestrup, F.M. qnrD, a Novel Gene Conferring Transferable Quinolone Resistance in Salmonella enterica Serovar Kentucky and Bovismorbificans Strains of Human Origin. Antimicrob. Agents Chemother. 2009, 53, 603–608. [Google Scholar] [CrossRef]
  60. Rojo-Bezares, B.; Sáenz, Y.; Poeta, P.; Zarazaga, M.; Ruiz-Larrea, F.; Torres, C. Assessment of antibiotic susceptibility within lactic acid bacteria strains isolated from wine. Int. J. Food Microbiol. 2006, 111, 234–240. [Google Scholar] [CrossRef]
  61. Chuanchuen, R.; Padungtod, P. Antimicrobial Resistance Genes in Salmonella enterica Isolates from Poultry and Swine in Thailand. J. Vet. Med. Sci. 2009, 71, 1349–1355. [Google Scholar] [CrossRef]
  62. Yan, J.-J.; Wu, J.-J.; Ko, W.-C.; Tsai, S.-H.; Chuang, C.-L.; Wu, H.-M.; Lu, Y.-J.; Li, J.-D. Plasmid-mediated 16S rRNA methylases conferring high-level aminoglycoside resistance in Escherichia coli and Klebsiella pneumoniae isolates from two Taiwanese hospitals. J. Antimicrob. Chemother. 2004, 54, 1007–1012. [Google Scholar] [CrossRef]
  63. Jakobsen, L.; Sandvang, D.; Hansen, L.H.; Bagger-Skjøt, L.; Westh, H.; Jørgensen, C.; Hansen, D.S.; Pedersen, B.M.; Monnet, D.L.; Frimodt-Møller, N.; et al. Characterisation, dissemination and persistence of gentamicin resistant Escherichia coli from a Danish university hospital to the waste water environment. Environ. Int. 2008, 34, 108–115. [Google Scholar] [CrossRef]
  64. Sandvang, D.; Aarestrup, F.M.; Titilawo, Y.; Obi, L.; Okoh, A.; Nielsen, K.M.; Domingues, S.; da Silva, G.J.; Smith, M.; Do, T.; et al. Characterization of Aminoglycoside Resistance Genes and Class 1 Integrons in Porcine and Bovine Gentamicin-Resistant Escherichia coli. Microb. Drug Resist. 2000, 6, 19–27. [Google Scholar] [CrossRef] [PubMed]
  65. Vakulenko, S.B.; Donabedian, S.M.; Voskresenskiy, A.M.; Zervos, M.J.; Lerner, S.A.; Chow, J.W. Multiplex PCR for Detection of Aminoglycoside Resistance Genes in Enterococci. Antimicrob. Agents Chemother. 2003, 47, 1423–1426. [Google Scholar] [CrossRef]
  66. Chuanchuen, R.; Koowatananukul, C.; Khemtong, S. Characterization of class 1 integrons with unusual 3′ conserved region from Salmonella enterica isolates. Southeast Asian J. Trop. Med. Public Health 2008, 39, 419–424. [Google Scholar] [PubMed]
  67. Yu, H.S.; Lee, J.C.; Kang, H.Y.; Jeong, Y.S.; Lee, E.Y.; Choi, C.H.; Tae, S.H.; Lee, Y.C.; Seol, S.Y.; Cho, D.T. Prevalence of dfr genes associated with integrons and dissemination of dfrA17 among urinary isolates of Escherichia coli in Korea. J. Antimicrob. Chemother. 2004, 53, 445–450. [Google Scholar] [CrossRef]
  68. Sutcliffe, J.; Grebe, T.; Tait-Kamradt, A.; Wondrack, L. Detection of erythromycin-resistant determinants by PCR. Antimicrob. Agents Chemother. 1996, 40, 2562–2566. [Google Scholar] [CrossRef]
  69. Phuc Nguyen, M.C.; Woerther, P.L.; Bouvet, M.; Andremont, A.; Leclercq, R.; Canu, A. Escherichia coli as reservoir for macrolide resistance genes. Emerg. Infect. Dis. 2009, 15, 1648. [Google Scholar] [CrossRef] [PubMed]
  70. Schnellmann, C.; Gerber, V.; Rossano, A.; Jaquier, V.; Panchaud, Y.; Doherr, M.G.; Thomann, A.; Straub, R.; Perreten, V. Presence of new mecA and mph (C) variants conferring antibiotic resistance in Staphylococcus spp. isolated from the skin of horses before and after clinic admission. J. Clin. Microbiol. 2006, 44, 4444–4454. [Google Scholar] [CrossRef] [PubMed]
  71. Chung, W.O.; Werckenthin, C.; Schwarz, S.; Roberts, M.C. Host range of the ermF rRNA methylase gene in bacteria of human and animal origin. J. Antimicrob. Chemother. 1999, 43, 5–14. [Google Scholar] [CrossRef] [PubMed]
  72. Mišić, M.; Čukić, J.; Vidanović, D.; Šekler, M.; Matić, S.; Vukašinović, M.; Baskić, D. Prevalence of Genotypes That Determine Resistance of Staphylococci to Macrolides and Lincosamides in Serbia. Front. Public Health 2017, 5, 200. [Google Scholar] [CrossRef] [PubMed]
  73. Angot, P.; Vergnaud, M.; Auzou, M.; Leclercq, R. Macrolide resistance phenotypes and genotypes in French clinical isolates of Streptococcus pneumoniae. Eur. J. Clin. Microbiol. Infect. Dis. 2000, 19, 755–758. [Google Scholar] [CrossRef] [PubMed]
  74. Grape, M.; Motakefi, A.; Pavuluri, S.; Kahlmeter, G. Standard and real-time multiplex PCR methods for detection of trimethoprim resistance dfr genes in large collections of bacteria. Clin. Microbiol. Infect. 2007, 13, 1112–1118. [Google Scholar] [CrossRef] [PubMed]
  75. Miranda, A.; Ávila, B.; Díaz, P.; Rivas, L.; Bravo, K.; Astudillo, J.; Bueno, C.; Ulloa, M.T.; Hermosilla, G.; Del Canto, F.; et al. Emergence of Plasmid-Borne dfrA14 Trimethoprim Resistance Gene in Shigella sonnei. Front. Cell. Infect. Microbiol. 2016, 6, 77. [Google Scholar] [CrossRef] [PubMed]
  76. Hochhut, B.; Lotfi, Y.; Mazel, D.; Faruque, S.M.; Woodgate, R.; Waldor, M.K. Molecular Analysis of Antibiotic Resistance Gene Clusters in Vibrio cholerae O139 and O1 SXT Constins. Antimicrob. Agents Chemother. 2001, 45, 2991–3000. [Google Scholar] [CrossRef] [PubMed]
  77. Toro, C.S.; Farfán, M.; Contreras, I.; Flores, O.; Navarro, N.; Mora, G.C.; Prado, V. Genetic analysis of antibiotic-resistance determinants in multidrug-resistant Shigella strains isolated from Chilean children. Epidemiol. Infect. 2005, 133, 81–86. [Google Scholar] [CrossRef] [PubMed]
  78. Werner, G.; Willems, R.J.L.; Hildebrandt, B.; Klare, I.; Witte, W. Influence of Transferable Genetic Determinants on the Outcome of Typing Methods Commonly Used for Enterococcus faecium. J. Clin. Microbiol. 2003, 41, 1499–1506. [Google Scholar] [CrossRef] [PubMed]
  79. Gevers, D.; Danielsen, M.; Huys, G.; Swings, J. Molecular Characterization of tet (M) Genes in Lactobacillus Isolates from Different Types of Fermented Dry Sausage. Appl. Environ. Microbiol. 2003, 69, 1270–1275. [Google Scholar] [CrossRef]
  80. Aminov, R.I.; Garrigues-Jeanjean, N.; Mackie, R.I. Molecular Ecology of Tetracycline Resistance: Development and Validation of Primers for Detection of Tetracycline Resistance Genes Encoding Ribosomal Protection Proteins. Appl. Environ. Microbiol. 2001, 67, 22–32. [Google Scholar] [CrossRef]
  81. Ng, L.-K.; Martin, I.; Alfa, M.; Mulvey, M. Multiplex PCR for the detection of tetracycline resistant genes. Mol. Cell. Probes 2001, 15, 209–215. [Google Scholar] [CrossRef]
  82. Call, D.R.; Bakko, M.K.; Krug, M.J.; Roberts, M.C. Identifying Antimicrobial Resistance Genes with DNA Microarrays. Antimicrob. Agents Chemother. 2003, 47, 3290–3295. [Google Scholar] [CrossRef]
  83. Melville, C.M.; Scott, K.P.; Mercer, D.K.; Flint, H.J. Novel tetracycline resistance gene, tet (32), in the Clostridium-related human colonic anaerobe K10 and its transmission in vitro to the rumen anaerobe Butyrivibrio fibrisolvens. Antimicrob. Agents Chemother. 2001, 45, 3246–3249. [Google Scholar] [CrossRef]
  84. Patterson, A.J.; Rincon, M.T.; Flint, H.J.; Scott, K.P. Mosaic Tetracycline Resistance Genes Are Widespread in Human and Animal Fecal Samples. Antimicrob. Agents Chemother. 2007, 51, 1115–1118. [Google Scholar] [CrossRef]
  85. Rebelo, A.R.; Bortolaia, V.; Kjeldgaard, J.S.; Pedersen, S.K.; Leekitcharoenphon, P.; Hansen, I.M.; Guerra, B.; Malorny, B.; Borowiak, M.; Hammerl, J.A.; et al. Multiplex PCR for detection of plasmid-mediated colistin resistance determinants, mcr-1, mcr-2, mcr-3, mcr-4 and mcr-5 for surveillance purposes. Eurosurveillance 2018, 23, 17-00672. [Google Scholar] [CrossRef] [PubMed]
  86. Wang, X.; Wang, Y.; Zhou, Y.; Li, J.; Yin, W.; Wang, S.; Zhang, S.; Shen, J.; Shen, Z.; Wang, Y. Emergence of a novel mobile colistin resistance gene, mcr-8, in NDM-producing Klebsiella pneumoniae. Emerg. Microbes Infect. 2018, 7, 1–9. [Google Scholar] [CrossRef] [PubMed]
  87. Dutka-Malen, S.; Evers, S.; Courvalin, P. Detection of glycopeptide resistance genotypes and identification to the species level of clinically relevant enterococci by PCR. J. Clin. Microbiol. 1995, 33, 24–27. [Google Scholar] [CrossRef] [PubMed]
Table 1. Comparison of information given on labels and the observation in this study (n = 45).
Table 1. Comparison of information given on labels and the observation in this study (n = 45).
ProductLabelling InformationObservation in This Study
StrainsNumber aStrainsNumberStrain IDSpecific SpeciesAMR PatternsAMR Genes
P1B. licheniformis
B. subtilis
1.9 × 1011Bacillus spp.2.14 × 109B1.1B. subtilis-
B1.3Members of the B. subtilis cluster b-
B1.5B. sphaericusCHL-CLI-ERY
P2B. subtilis1.48 × 1011Bacillus spp.9.2 × 1010 B2.1B. subtilis-
B2.2Members of the B. subtilis cluster-
B2.3Other Bacillus species-
P3B. licheniformis
B. subtilis
10.04 × 1010
4.76 × 1010
Bacillus spp.9.4 × 1010B3.1B. subtilis-oqxAB
B3.3Members of the B. subtilis cluster-
P4B. subtilis4 × 1011Bacillus spp.7.65 × 1011B4.1Members of the B. subtilis cluster-oqxAB, aadA2, sul1
P5B. subtilis4 × 1011Bacillus spp.7.2 × 1012B5.1Members of the B. subtilis cluster-sul1
P6B. subtilis
S. faecium
5 × 109
5 × 109
Bacillus spp.
Enterococcus spp.
7.2 × 1010
9.2 × 1011
B6.1B. licheniformisCHL-CLI-ERYqnrD, tetA, tetM
E6.1E. faeciumSUL
P7L. acidophilus
L. plantarum
B. subtilis
B. licheniformis
1 × 109
1 × 109
1 × 109
1 × 109
Lactobacillus spp.
Bacillus spp.
1.88 × 109
8.4 × 1013
B7.1L. plantarumAMP-CIP-TRI-VAN
L7.1L. rhamnosusVAN
L7.2L. casei-group cAMP-CHL-TRI-VAN
L7.4.Members of the B. subtilis cluster
P8E. faecium8.4 × 1011 Enterococcus spp.3.85 × 1015 E8.1E. faeciumSUL
P9B. amyloliquefaciens1 × 1013 Bacillus spp.2.01 × 1013B9.1Members of the B. subtilis cluster-
P10B. subtilis1 × 1013Bacillus spp.6 × 1013 B10.1Members of the B. subtilis cluster-
P11B. licheniformis1.6 × 1012Bacillus spp.5.6 × 1012B11.1B. licheniformisCHL-CLI-ERY
P12B. coagulans
B. subtilis
L. acidophilus
1.5 × 1012
1 × 1012
1.5 × 1012
Bacillus spp.1.31 × 107B12.1Members of the B. subtilis cluster -blaOXA-1-like, aac(6′)-Ib-cr, qnrB, aadA1, aadA2, strA-strB, aac(3)-II, tetA, catA, dfrA14, sul1
B12.2B. sphaericusSUL-TRI
P13B. licheniformis
B. subtilis
2.56 × 1011Bacillus spp.2.3 × 1011B13.1B. licheniformisCHL-CLI-ERYstrA-strB, aadE, tetM
B13.3B. subtilis-
P14E. faecium5 × 1014 Enterococcus spp.1.85 × 1014E14.1E. faeciumSUL
P15C. butyricum1.25 × 1012Clostridium spp.NT-C. butyricumNT
P16C. butyricum5 × 108Clostridium spp.NT-C. butyricumNT
P17C. butyricum5 × 108Clostridium spp.NT-C. butyricumNT
P18B. licheniformis1.6 × 1013Bacillus spp.8.4 × 1013 B18.1B. licheniformisCHL-CLI
P19B. subtilis1 × 1013Bacillus spp.4.9 × 1013B19.1Other Bacillus species-
P20B. subtilis1 × 1013Bacillus spp.2.15 × 1013B20.1B. subtilis-
P21B. subtilis1 × 1013Bacillus spp.3.7 × 1013B21.1B. subtilis-
P22B. subtilis1 × 1012Bacillus spp.3.2 × 1012 B22.1Members of the B. subtilis cluster-
P23B. subtilis1 × 1012 Bacillus spp.5.05 × 1012B23.1Members of the B. subtilis cluster-
P24B. cereus toyoi1 × 1013Bacillus spp.6.3 × 1012B24.1Other Bacillus speciesCHL-SUL-TET-TRI
P25B. cereus toyoi1 × 1013 Bacillus spp.2.85 × 1012 B25.1Other Bacillus speciesCHL-SUL-TET-TRI
P26B. licheniformis3.2 × 1012Bacillus spp.3.7 × 1012B26.1B. licheniformisCHL-CLI-ERY
P27B. subtilis1.48 × 1011Bacillus spp.8.3 × 1010B27.1B. subtilis-
B27.1Members of the B. subtilis cluster-
P28B. subtilis7.5 × 1010Bacillus spp.4.55 × 1010B28.1Members of the B. subtilis cluster-
B28.5Other Bacillus species-
P29B. subtilis7.5 × 1010Bacillus spp.3.85 × 1010B29.1Other Bacillus species-
P30B. subtilis
B. licheniformis
1.48 × 1011Bacillus spp.5.35 × 1010B30.2B. subtilis-
B30.4Members of the B. subtilis cluster-
B30.5Other Bacillus species-
P31B. subtilis
B. licheniformis
L. acidophilus
L. casei
S. faecium
6.5 × 1010
5.8 × 1010
6 × 109
1 × 109
1.5 × 109
Bacillus spp.1.93 × 1010B31.1Members of the B. subtilis cluster-ant(4′)-Ia
B31.4Other Bacillus species-
P32B. subtilis
B. licheniformis
L. acidophilus
L. casei
S. faecium
6.5 × 1010
5.8 × 1010
6 × 109
1 × 109
1.5 × 109
Bacillus spp.2.45 × 1010B32.1Members of the B. subtilis cluster -ant(4′)-Ia, mefA
B32.4Other Bacillus species-
P33B. subtilis4.7 × 108Bacillus spp.3.25 × 1010B33.1B. sphaericusSUL-TRI
B33.3Members of B. subtilis cluster-
B33.4Other Bacillus speciesSUL-TRI
P34B. subtilis4.7 × 108Bacillus spp.1.65 × 108B34.1B. sphaericusSUL-TRI
P35B. subtilis2 × 1011Bacillus spp.3.9 × 1011B35.1Members of the B. subtilis cluster-
P36B. subtilis2 × 1011Bacillus spp.4.65 × 1011B36.1Members of the B. subtilis cluster-
P37B. subtilis2 × 1011Bacillus spp.3.3 × 1011B37.1B. licheniformisCHL-CLI-ERY
B37.3Members of the B. subtilis cluster-
P38B. licheniformis3.2 × 1012Bacillus spp.1.8 × 1012B38.1B. licheniformisCHL-CLIoqxAB, ant(4′)-Ia, catA, mefA
P39B. licheniformis3.2 × 1012Bacillus spp.1.7 × 1012B39.1B. licheniformisCHL-CLIant(4′)-Ia, aac(6′)-aph(2″), catA, mefA
P40B. licheniformis3.2 × 1012Bacillus spp.2.45 × 1012B40.1B. licheniformisCHL-CLIant(4′)-Ia, aph(3′)-IIIa, catA
P41Lactic acid bacteria1.34 × 1012Lactobacillus spp.2.7 × 1011L41.1L. delbrueckiiAMP-CIP-KAN-STR-TET-TRI-VANtetM, tetL
Other lactic acid species-
P42C. butyricum5 × 108Clostridium spp.NT-C. butyricumNTqnrS, qnrD, ant(4′)-Ia, mefA
P43B. licheniformis
B. subtilis
B. pumilus
E. faecium
E. faecalis
≥1 × 1012
≥1 × 1011
Bacillus spp.
Enterococcus spp.
2.12 × 1012 1.54 × 1011B43.1Members of the B. subtilis cluster-blaSHV,, oqxAB, qnrS, aadA2, strA-strB, aac(3)-II, tetA, tetB, dfrA12, dfrA14, sul1, vanC
E43.1E. faeciumSUL
P44Lactic acid bacteria
B. subtilis
≥7 × 1012
≥3 × 1012
Lactobacillus spp.
Bacillus spp.
8.1 × 1011
7.35 × 1012
B44.1Other Lactobacillus species, AMP-CIP-KAN-STR-TET-TRI-VANoqxAB, aac(6′)-Ib-cr, aadA2, aac(6′)-aph(2″), dfrA12, sul1
L44.1Members of the B. subtilis cluster-
P45Lactic acid bacteria
B. subtilis
≥7 × 1012
≥3 × 1012
Lactobacillus spp.
Bacillus spp.
1.85 × 1012
9.8 × 1012
B45.1Other Lactobacillus species AMP-CIP-KAN-STR-TET-TRI-VANoqxAB, aac(6′)-Ib-cr, aadA2, aac(6′)-aph(2″), dfrA12, sul1
L45.1Members of the B. subtilis cluster-
a Unit is Colony Forming Unit (CFU)/kg for all products except for product P1 and P7 (CFU/L). b B. pumilus, B. amyloliquefaciens, and B. atropheus. c L. casei and L. paracasei.—isolates were susceptible to all antimicrobials tested. NT, not tested. Bold letters indicate antimicrobial resistance (AMR) genes corresponding to AMR phenotypes of bacterial isolates. Abbreviations: AMP, ampicillin; STR, streptomycin; KAN, kanamycin; CHL, chloramphenicol; TET, tetracycline; ERY, erythromycin; TRI, trimethoprim; SUL, sulfamethoxazole; CIP, ciprofloxacin; VAN, vancomycin; CLI, clindamycin.
Table 2. Distribution of MICs of bacterial isolates from probiotic products (n = 64).
Table 2. Distribution of MICs of bacterial isolates from probiotic products (n = 64).
Strain (n)Distribution of MICs (μg/mL)No. of Resistant IsolatesDistribution of MICs (μg/mL)No. of Resistant Isolates
≤0.1250.250.51248163264128256512≥1024≤0.1250.250.51248163264128256512≥1024
AMP CHL
B. subtilis (8)8 0 71 0
B. licheniformis (9)81 0 81 9
B. sphaericus (4)3 1 0 211 1
Other Bacillus spp. (10)10 0 35 2 2
Members of B. subtilis cluster (23)23 0 15 17 0
E. faecium (4) 4 0 4 0
L. casei-group (1) 1 1 1 1
L. plantarum (1) 1 1 1 0
L. rhamnosus (1) 1 0 1 0
L. delbrueckii (1) 1 1 1 0
Other Lactobacillus species (2) 2 2 2 0
Subtotal521142220000000500157354912000013
CIPCLI
B. subtilis (8)8 02132 0
B. licheniformis (9)9 0 351 9
B. sphaericus (4)4 0 21 1 1
Other Bacillus spp. (10)10 0343 0
Members of B. subtilis cluster (23)23 0213701 0
E. faecium (4) 4 0 1 21 0
L. casei-group (1) 1 0 0
L. plantarum (1) 1 1 1 0
L. rhamnosus (1) 1 0 0
L. delbrueckii (1) 1 1 0
Other Lactobacillus species (2) 2 2 0
Subtotal5440110011200004719163311351000010
ERYGEN
B. subtilis (8) 8 08 0
B. licheniformis (9) 4 5 554 0
B. sphaericus (4) 3 1 131 0
Other Bacillus spp. (10) 712 082 0
Members of B. subtilis cluster (23) 221 0 23 0
E. faecium (4)4 0 4 0
L. casei-group (1)1 0 1 0
L. plantarum (1)1 0 1 0
L. rhamnosus (1)1 0 1 0
L. delbrueckii (1)1 0 1 0
Other Lactobacillus species (2)2 0 11 0
Subtotal1044220000006000624300046000000000
KAN MER
B. subtilis (8) 8 08 0
B. licheniformis (9) 9 09 0
B. sphaericus (4) 4 04 0
Other Bacillus spp. (10) 10 010 0
Members of B. subtilis cluster (23) 23 023 0
E. faecium (4) 4 0 31 0
L. casei-group (1) 1 01 0
L. plantarum (1) 1 0 1 0
L. rhamnosus (1) 1 0 1 0
L. delbrueckii (1) 1 11 0
Other Lactobacillus species (2) 1 1 2 2 0
Subtotal00054000013204035612013100000000
RIFSTR
B. subtilis (8)8 0 8 0
B. licheniformis (9)9 0 9 0
B. sphaericus (4)4 0 3 1 0
Other Bacillus spp. (10)10 0 73 0
Members of B. subtilis cluster (23)23 0 221 0
E. faecium (4)4 0 4 0
L. casei-group (1) 1 0 1 0
L. plantarum (1) 1 0 1 0
L. rhamnosus (1) 1 0 1 0
L. delbrueckii (1) 1 0 1 1
Other Lactobacillus species (2) 2 0 11 2
Subtotal58050001000000000005341013110003
SULTET
B. subtilis (8) 62 04 31 0
B. licheniformis (9) 6111 05 211 0
B. sphaericus (4) 1 3331 0
Other Bacillus spp. (10) 21 3 1 3321 32 2 2
Members of B. subtilis cluster (23) 16412 06 2312 0
E. faecium (4) 444 0
L. casei-group (1) 1 0 1 0
L. plantarum (1) 1 0 1 0
L. rhamnosus (1) 1 0 1 0
L. delbrueckii (1) 1 0 1 1
Other Lactobacillus species (2) 2 0 2 2
Subtotal00151151601015001010242024101612201005
TRI VAN
B. subtilis (8)8 0 8 0
B. licheniformis (9)9 0 9 0
B. sphaericus (4)1 12 3 31 0
Other Bacillus spp. (10)322 3 3 612 1 0
Members of B. subtilis cluster (23)18311 0 221 0
E. faecium (4)4 0 4 0
L. casei-group (1) 1 1 1 1
L. plantarum (1) 1 1 1 1
L. rhamnosus (1) 1 0 1 1
L. delbrueckii (1) 1 1 1 1
Other Lactobacillus species (2) 1 1 2 2 2
Subtotal435310001111620110487201000006006
Vertical line, breakpoints. As the clinical breakpoints of sulfamethoxazole for Lactobacillus, Bacillus, and Enterococcus are not available, and these species are mainly fastidious Gram-positive bacteria like Staphylococcus, therefore the breakpoint of ≥512 µg/mL for S. aureus was applied as interpretative criteria [10]. Abbreviation: AMP, ampicillin; STR, streptomycin; KAN, kanamycin; GEN, gentamicin; CHL, chloramphenicol; TET, tetracycline; ERY, erythromycin; TRI, trimethoprim; SUL, sulfamethoxazole; CIP, ciprofloxacin; VAN, vancomycin; CLI, clindamycin; MIC, Minimum Inhibitory Concentration; MER, meropenem; RIF, rifampicin. White fields indicate concentration range of serial dilutions for each antimicrobial.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tran, H.M.; Prathan, R.; Hein, S.T.; Chuanchuen, R. Microbiological Quality and Antimicrobial Resistance of Commercial Probiotic Products for Food-Producing Animals. Antibiotics 2024, 13, 148. https://doi.org/10.3390/antibiotics13020148

AMA Style

Tran HM, Prathan R, Hein ST, Chuanchuen R. Microbiological Quality and Antimicrobial Resistance of Commercial Probiotic Products for Food-Producing Animals. Antibiotics. 2024; 13(2):148. https://doi.org/10.3390/antibiotics13020148

Chicago/Turabian Style

Tran, Hoang My, Rangsiya Prathan, Si Thu Hein, and Rungtip Chuanchuen. 2024. "Microbiological Quality and Antimicrobial Resistance of Commercial Probiotic Products for Food-Producing Animals" Antibiotics 13, no. 2: 148. https://doi.org/10.3390/antibiotics13020148

APA Style

Tran, H. M., Prathan, R., Hein, S. T., & Chuanchuen, R. (2024). Microbiological Quality and Antimicrobial Resistance of Commercial Probiotic Products for Food-Producing Animals. Antibiotics, 13(2), 148. https://doi.org/10.3390/antibiotics13020148

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop