Next Article in Journal
Characterization of Lactococcus lactis 11/19-B1 Isolated from Kiwi Fruit as a Potential Probiotic and Paraprobiotic
Next Article in Special Issue
Rare Plasmid-Mediated AmpC Beta-Lactamase DHA-1 Located on Easy Mobilized IS26-Related Genetic Element Detected in Escherichia coli from Livestock and Food in Germany
Previous Article in Journal
Critical Review of Tuberculosis Diagnosis in Children from Papua New Guinea Presenting to Health Facilities in the Torres Strait Islands, Australia
Previous Article in Special Issue
Contamination of Plant Foods with Bacillus cereus in a Province and Analysis of Its Traceability
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Antibiotic Resistance of Bacillus cereus in Plant Foods and Edible Wild Mushrooms in a Province

1
Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China
2
School of Science, Royal Melbourne Institute of Technology University, Melbourne 3000, Australia
*
Authors to whom correspondence should be addressed.
Microorganisms 2023, 11(12), 2948; https://doi.org/10.3390/microorganisms11122948
Submission received: 30 October 2023 / Revised: 1 December 2023 / Accepted: 4 December 2023 / Published: 9 December 2023
(This article belongs to the Special Issue Antibiotic Resistance in Foodborne Bacteria)

Abstract

:
Bacillus cereus is a common pathogen causing foodborne diseases, secreting and producing a large number of toxins that can cause a variety of diseases and pose many threats to human health. In this study, 73 strains of Bacillus cereus were isolated and identified from six types of foods from seven different cities in a province, and the antibiotic-resistant phenotype was detected by using the Bauer–Kirby method. Results showed that the 73 isolates were completely sensitive to gentamicin and 100% resistant to chloramphenicol, in addition to which all strains showed varying degrees of resistance to 13 other common antibiotics, and a large number of strains resistant to multiple antibiotics were found. A bioinformatic analysis of the expression of resistance genes in Bacillus cereus showed three classes of antibiotic-resistant genes, which were three of the six classes of antibiotics identified according to the resistance phenotype. The presence of other classes of antibiotic-resistant genes was identified from genome-wide information. Antibiotic-resistant phenotypes were analyzed for correlations with genotype, and remarkable differences were found among the phenotypes. The spread of antibiotic-resistant strains is a serious public health problem that requires the long-term monitoring of antimicrobial resistance in Bacillus cereus, and the present study provides important information for monitoring antibiotic resistance in bacteria from different types of food.

1. Introduction

Bacillus cereus is a spore-forming Gram-positive bacillus [1], a conditional pathogen that can cause a wide range of diseases [2]. Bacteria are ubiquitous in the natural environment [3], and can be isolated from soil, sediments, water, and different types of foods [4,5]. The presence of B. cereus has been reported in foods such as infant formula, milk [6,7], dairy products [8,9], fruits, vegetables, preserves [10,11], and spices [12]. This bacterium has become a common foodborne pathogen worldwide [13], causing many different degrees of food poisoning [14].
The discovery of antibiotics led to the killing or inhibition of pathogenic microorganisms in the body. However, with the widespread use of antibiotics, many strains of bacteria have been found to develop resistance to antibiotics, a phenomenon known as antibiotic resistance. Studies have shown that this antibacterial phenomenon existed long before antibiotic resistance was discovered [15]. The emergence and spread of antibiotic resistance is a worldwide problem that poses a serious challenge to researchers around the world. The World Health Organization has ranked antibiotic resistance as a health challenge of the 21st century [16]. According to a recent report, by 2050, 10 million people will die globally each year from antibiotic resistance if no intervention is developed [17]. With the emergence of a large number of bacterial pathogens resistant to multiple antibiotics, multi-antibiotic-resistant bacteria have been considered a global emergency [18], posing a serious threat to human health [19]. Some studies have shown that it takes about 2 years for bacteria to go from sensitivity to resistance to antibiotics, while the development of a novel antibiotic takes about 10 years [20]. The speed of the transition from sensitivity to resistance is faster than the development cycle of antibiotics, so accelerating the development of novel antibiotics and slowing down the rate of bacterial resistance are crucial [21].
Antimicrobial resistance genes are the material basis for the formation and transmission of bacterial resistance, which can be transmitted to other bacteria through bacterial transformation, transduction, and conjugation, and can even be transmitted among bacteria of different species [22]. B. cereus usually produces β-lactamases; thus, it is remarkably resistant to β-lactam [23]. On the contrary, B. cereus strains are sensitive to aminoglycosides, clindamycin, chloramphenicol, erythromycin, and vancomycin. Some strains are resistant to tetracycline, streptomycin, ciprofloxacin, cloxacillin erythromycin, and rifampicin [24].
The consumption of fresh vegetables is one of the main routes through which antibiotic resistant bacteria and antibiotic resistant genes are transferred from the natural environment to humans, posing potential health risks [25]. Thus, the consumption of foods contaminated with B. cereus can lead to antibiotic-resistant infections in humans. The detection rate of B. cereus in Chinese vegetables is as high as 50% [26]; B. cereus isolated from raw vegetables is sensitive to imipenem, vancomycin, gentamicin, erythromycin, ciprofloxacin, and chloramphenicol [27]. B. cereus isolated from garlic chives shows moderate resistance to cefotaxime, rifampicin, clindamycin, erythromycin, and tetracycline [28]. The antibiotic resistance profile of B. cereus strains isolated from Mexican chili powder shows high resistance to β-lactams, trimethoprim/sulfamethoxazole, tetracycline, erythromycin, clindamycin, and chloramphenicol [29]. The multi-drug resistant phenotype of B. cereus in rice samples was observed [3]. B. cereus isolated from preserved bean curd was susceptible to 11 antibiotics: penicillin, gentamicin, tetracycline, erythromycin, chloramphenicol, ciprofloxacin, benzathine, clindamycin, rifampicin, amikacin, and cotrimoxazole [21]. Briefly, 94.2% of B. cereus isolated from frozen foods were identified as multi-antibiotic resistant strains [30]. In ensuring human health and food safety, detecting antibiotic resistance in food products isolated from B. cereus is important.
In recent years, foodborne diseases caused by B. cereus have been increasing annually, bringing serious impacts on people’s health and social development [31,32,33]. The dietary structure of the area involved in this study is rich and varied, particularly in terms of foods such as wild mushrooms, soybean products, and pickled vegetables being popular among local people. However, these foods are highly susceptible to contamination by B. cereus during production, processing, and transportation, leading to food poisoning, which is a serious threat to people’s health. Hence, this study aimed to detect antibiotic-resistant phenotypes and analyze resistant genes in 73 strains of B. cereus isolated from five types of plant foods and edible wild mushrooms.

2. Materials and Methods

2.1. Sample Collection

The 273 samples used in this study were randomly collected from seven different areas of a province (wild mushroom, n = 32; soybean products, n = 76; fresh vegetables, n = 80; preserved vegetables, n = 47; cereals, n = 4; frozen food cereals, n = 34). Samples were placed in sterile sampling bags immediately after purchase, placed in a cryogenic sampling box, and brought back to the laboratory within 24 h.

2.2. Isolation of B. cereus

Ten grams of a sample was weighed using a sterile homogenizer cup with 100 mL of physiological saline and homogenized at 8000–10,000 r/min for 1–2 min using a rotary blade homogenizer. In accordance with the national standard (GB 4789.14-2014) [34], a homogeneous solution was diluted at 1:100, and the mixture was cultured at 36 °C for 18–24 h. The isolation and purification of B. cereus were carried out using a B. cereus chromogenic medium (Chromagar, Central Bio-Engineering Co., Ltd., Shanghai, China) for isolation, and single colonies were collected via plate delineation and purely cultured at 36 °C for 18–24 h. After purification, single colonies were collected and cultured in LB broth (HB0128, Hope Bio-Technology Co., Ltd., Qingdao, China) and incubated at 36 °C for 18–24 h. After enrichment, the strains were preserved with 30% glycerol and placed into a −80 °C ultra-low-temperature refrigerator for long-term preservation.

2.3. The 16S rRNA Gene Identification of Isolates and Whole Gene Sequencing

Ezup Columnar Bacterial Genomic DNA Extraction Kit (B518255-0100) was pur chased from Shanghai Sangon Biotechnology Co., Ltd. (Shanghai, China) and used to extract DNA. Briefly, 16S rRNA was used for strain identification. The primers for 16S rRNA gene amplification were 27F primer (5′-AGAGTTTGATCCTGGCTCAG-3′) and 1492R primer (5′-RTACGGCTACCTTGTTACGACTT-3′) [35]. The 25 μL reaction system was used for PCR reactions in a thermal cycler, and the reaction system contained 2.5 μL of 10× buffer, 2 µL of a dNTP mixture (2.5 mM), 0.2 μL of rTaq DNA polymerase (5 U/µL; TaKaRa, Biotechnology, Dalian, China), 1 µL of primer F (10 µM), 1 µL of primer R (10 µM), 2 µL of DNA template, and 16.3 µL of ultrapure water. The amplification conditions for the PCR program were as follows: initial denaturation at 94 °C for 2 min; 30 cycles of denaturation at 94 °C for 30 s, primer annealing at 54 °C for 30 s, and primer extension for 1 min at 72 °C; and a final extension at 72 °C for 10 min. The PCR amplification products were quality controlled using 2% agarose gel (containing 0.1 μL/mL of TS-GelRed). Agarose was purchased from Sigma-Aldrich Chemical Co., Ltd. (Shanghai, China). In addition, the PCR amplification products were subjected to Sanger sequencing to obtain the 16S rRNA sequences of the samples, and PCR amplification and sequencing were performed by Sangon Biotech (Shanghai) Co., Ltd. The 16S rRNA sequences of the sequenced samples were uploaded to the NCBI database, and sequence comparison was performed using the BLAST tool. Moreover, strains with a homology rate greater than 99% were considered to be of the same species [36]. Finally, we performed whole gene sequencing on all isolated strains [37,38,39,40,41].

2.4. Antibiotic Resistance Testing of Isolate

The antimicrobial susceptibility of 73 strains of B. cereus was evaluated using the Kirby–Bauer disk diffusion method in accordance with performance standards for antimicrobial susceptibility testing from the Clinical and Laboratory Standards Institute (CLSI) [42] for Staphylococcus aureus [38]. B. cereus isolates in LB liquid medium were incubated at 36 °C for 24 h. The concentration of the bacterial suspension was adjusted to 0.5 McFarland (G60346) using 0.9% saline in standard tubes, which was purchased from Bio-Kont Co., Ltd. (Wenzhou, China), and the resulting suspension was used for subsequent experiments. Fifty microliters of the diluted suspension was aspirated and added to a solid (MH) medium of the antibiotic sensitivity test, and tweezers were used to hold the antibiotic-sensitized tablets on the surface of the plate. Each plate could be affixed with three tablets at an angle of 120°, and the distance between each tablet was not less than 24 mm. The plates were inverted and incubated for 24 h in a 36 °C incubator. The antibiotic disks used were 30 µg of ceftazidime (CAZ), 10 µg of cephalothin (CEP), 10 µg of ampicillin (AMP), 10 µg of amoxicillin (AMX), 30 µg of cefotaxime (CTX), 10 µg of ticarcillin–clavulanic acid (TCC), 30 µg of chloramphenicol (CHL), 30 µg of imipenem (IPM), 10 µg of streptomycin (STR), 30 µg of kanamycin (KAN), 10 µg of gentamicin (GEN), 30 µg of nalidixic acid (NAL), 5 µg of ciprofloxacin (CIP), 25 µg of trimethoprim/sulfamethoxazole (SXT), and 250 µg of sulfafurazole (SOX). The antibiotics used in this study were purchased from Oxoid Ltd. (Basingstoke, Hants, UK). The allergy test solid (MH) medium was purchased from Hangzhou Best Biotechnology Co., Ltd. (Hangzhou, China). The diameter and length of the inhibition zone of each B. cereus isolate were measured with a vernier caliper to explain antibiotic sensitivity [43], and the results were interpreted following the guidelines provided by the CLSI document M100, 31st edition [42,44]. To evaluate the efficacy of the antimicrobial susceptibility testing process [45], Escherichia coli ATCC 25922 and Staphylococcus aureus ATCC 29213 were used as control strains, and 73 strains of B. cereus were divided into sensitive (S), intermediary (I), and resistant (R).

2.5. Antibiotic Resistance Gene Analysis

The Comprehensive Antibiotic Research Database (CARD) contains all resistance information from the Antibiotic Genetic Database, with a data sharing platform. Users can upload antibiotic-related information at any time, achieving the real-time updating of data and ensuring the validity of the data, and this database is commonly used for researching resistance genes to date [46]. The whole-genome information of 73 strains of B. cereus was compared with that of the reference sequences in the CARD database using BLAST+ (https://ftp.ncbi.nlm.nih.gov/blast, accessed on 20 February 2023) to obtain information related to antibiotic-resistant genes of the strains, and the results were classified and counted.

3. Results

3.1. Chromogenic Medium Identification of B. cereus

The suspected B. cereus was collected from the Chromagar B. cereus chromogenic medium in accordance with the colony color and morphology, and the typical colony morphology. The results showed that 59 suspected B. cereus-positive samples were detected from 273 food samples, and 84 suspected B. cereus strains in total were isolated.

3.2. The 16S rRNA Sequencing and Whole Gene Sequencing Identification of B. cereus

The 16S rRNA sequences were uploaded to NCBI for BLAST comparison. The comparison results showed that among the 84 suspected B. cereus strains isolated from the samples, 73 strains with a sequence homology greater than 99% and published B. cereus strains in NCBI were determined to be positive. The remaining 11 suspected B. cereus strains had greater than 99% homology with other species in the database (six Aspergillus, three Lactococcus lactis, and two Fusobacterium spp.), and such strains were determined to be B. cereus-negative. Therefore, of the 273 samples collected, 56 (20.51%) were positive for B. cereus, and 73 strains of B. cereus in total were isolated. The results of whole-genome sequencing analysis showed that the 73 isolates were B. cereus.

3.3. Resistance Phenotype of B. cereus

The statistics of antibiotic resistance rate of 73 strains of B. cereus are shown in Figure 1. The resistance of 73 strains of B. cereus to different antibiotics was markedly different. The highest rate of resistance was found for β-lactam and sulfonamide antibiotics, both at 95.89%. Among the five antibiotics in the β-lactam group, all strains had a resistance rate of more than 70%, and cefotaxime was the most serious, with a resistance rate of 94.52%. The cefoxitin resistance rate was relatively low at 78.08%, but intermediate strains had the highest rate of 15.07%. Ticarcillin-Clavulanic acid had the lowest resistance of 73.97% among the β-lactams, but the number of strains susceptible to this antibiotic was the highest, with a ratio of 21.92%. Sulfonamides include two antibiotics with more pronounced differences in resistance, trimethoprim/sulfamethoxazole, with a resistance rate of 95.89% but a rate of sensitive strains of 4.11%, and sulfisoxazole, with a resistance rate of 28.77% and a rate of sensitive strains of 69.86%.
The 73 strains of B. cereus had low resistance to other antibiotics. The resistance rate of quinolone antibiotics was 16.44%, among which the resistance rate of ciprofloxacin was relatively high at 15.07%, the ratio of sensitive strains was 84.93%, and no intermediary strains were found. The rate of nalidixic acid resistance was 2.74%. In addition, 6.89% of the strains showed intermediaries, and the rate of sensitive strains was 90.41%. Carbapenem and aminoglycoside resistance was relatively low, at 2.74% and 4.11%, respectively. Among the aminoglycosides, no strains resistant to gentamicin were found, and the sensitivity rate was 100%. Streptomycin and kanamycin resistance rates were 2.74% and 1.37%, respectively, and both antibiotics had partial intermediary strains (5.48% and 8.22%). All strains were non-resistant to chloramphenicol, and the number of strains showing sensitivity reached 97.26%.

3.4. Comparison of Antibiotic Resistance of B. cereus in Different Regions

The antibiotic resistance rate of B. cereus isolated from seven regions was counted, and the results are shown in Table 1. Differences in the antibiotic resistance of B. cereus isolates were observed from different regions. Among them, B. cereus isolated from region A, region B, and region D had the highest resistance rates to ceftazidime, ampicillin, cefotaxime, and trimethoprim/sulfamethoxazole. Region C isolates showed the highest resistance rates to cefotaxime and trimethoprim/sulfamethoxazole. The strains isolated from region E had the highest resistance rate to ceftazidime and cefotaxime. The isolates from region F had the highest resistance rates to cefothiophene, ampicillin, amoxicillin, and trimethoprim/sulfamethoxazole. Regional G isolates had the highest resistance rate to trimethoprim/sulfamethoxazole. All regional isolates of B. cereus were sensitive to chloramphenicol and gentamicin.

3.5. Comparison of Antibiotic Resistance in Different Foodstuffs of B. cereus

The analysis of B. cereus isolated from six types of foods revealed that the antibiotic resistance of B. cereus in different foods also differed. The results shown in Table 2 indicate that B. cereus isolated from wild mushrooms and fresh vegetables had the highest resistance rate to two antibiotics, namely cefotaxime and trimethoprim/sulfamethoxazole. The strains isolated from soybean products had the highest resistance rate to trimethoprim/sulfamethoxazole. In addition, the strains isolated from pickled vegetables had the highest resistance rates to ceftazidime, cefotaxime, and trimethoprim/sulfamethoxazole. The strains isolated from frozen foods had the highest resistance rates to ceftazidime, ampicillin, amoxicillin, and cefotaxime. The strains isolated from cereals were the most sensitive to antibiotics, and the highest rates of resistance to ticarcillin-clavulanic acid and cephalothin were found. Moreover, the rates of resistance to these two antibiotics did not reach 100% in the other five food groups. All six types of food were considered sensitive to chloramphenicol and gentamicin.

3.6. Multi-Antibiotic Resistance Profile Analysis

The strains resistant to three or more antibiotics were considered as multi-antibiotic-resistant strains. The multi-antibiotic resistance spectrum of 73 strains of B. cereus resistant to 15 antibiotics is shown in Table 3. Among the 73 strains of the isolated B. cereus, only 2 strains were non-resistant to 15 antibiotics, whereas the rest of the strains were multi-resistant, and the ratio of 3 or more resistant strains reached 94.52%. The multi-antibiotic resistant types of the 15 antibiotics were mainly concentrated in 7-resistant and 8-resistant strains, and the total number of resistant strains was 36 and 15, respectively. The resistance spectrum of six antibiotic resistance was the largest, with seven types, and the resistance ratio of 73 isolates to six resistance reached 89.04%. The rate of eight or more resistant strains was 24.66%, and two 9-resistant and one 10-resistant strains were also included.
The resistance profiles of 73 B. cereus strains to six major classes of antibiotics are shown in Table 4. Among them, β-lactams are the main type of resistance, and are present in almost all resistance profiles. The three-fold resistance rate was 17.81%; among them, 10 isolates were resistant to β-lactams-Quinolones-Sulfonamides.

3.7. Antibiotic Resistance Genotype Analysis

A BLAST comparison of resistance genes of 73 strains of B. cereus was performed using the CARD database, and the distribution of resistance genes is shown in Table 5. Of the six major classes of antibiotics identified via resistance phenotyping, three classes of antibiotic resistance genes were identified. Among them, β-lactams have four antibiotic resistance gene profiles, of which bla and bla2 are the main genotypes, and all strains carry these two genes. One genotype of chloramphenicol class was catA (50.68%), and no resistance to chloramphenicol was found in the antibiotic sensitivity test. Four genotypes of aminoglycosides are identified, of which ant (6) is the pre-dominant genotype (21.92%). Carbapenems, quinolones, and sulfonamides with antibiotic resistance detected via the antibiotic sensitivity test were not detected as antibiotic-resistant genes.
In addition, the presence of other resistance genes was identified from the genome-wide information of 73 B. cereus strains, including macrolides with four genotypes, primarily abc-f (98.63%). Only one genotype (fosB) was identified in fosfomycins, but all strains carried this genotype. Two genotypes of lincosamides were found, mainly lsa (15.07%). Streptomycins had three genotypes, in which the vat gene was also detected in all strains; glycopeptides had four genotypes, mainly vanR-A (13.7%) and vanS-Pt (13.7%); and tetracyclines also contained four genotypes, in which tet (10.96%) was the main genotype.

3.8. Correlation Analysis of Antibiotic-Resistant Phenotype and Genotype

The coincidence of an antibiotic-resistant genotype and antibiotic-resistant phenotype predicted via the whole-genome sequencing of B. cereus is shown in Table 6. Remarkable differences in correspondence were observed among the different types of antibiotic-resistant genes and phenotypes. The 73 strains of B. cereus had an overall conformity rate of 50.53% between antibiotic-resistant phenotypes and genes for six major classes of antibiotics. The total conformation rate between the β-lactam antibiotic-resistant phenotype and genotype was 95.89%, which was the highest among that of the six major classes of antibiotics. The compliance rate of strains that did not carry resistance genes with antibiotic-resistant phenotypes was 81.97%, and the overall compliance rate was 63.1%. The lowest overall compliance rate for sulfonamide antibiotics was 2.1%. The coincidence rate of chloramphenicols-, carbapenem-, quinolone-, and sulfonamide-resistant phenotypes with antibiotic-resistant genes was 0.

4. Discussion

The results of this study indicated remarkable differences in the antibiotic resistance of B. cereus isolated from various regions of a province. The highest level of resistance was observed for β-lactams and sulfonamide antibiotics, with resistance rates above 95%. β-lactam antibiotics are broad-spectrum antibiotics that are widely used in clinical treatment, resulting in serious antibiotic resistance [47]. Recent findings have shown that resistance to β-lactam antibiotics in B. cereus has become a common situation [29]. B. cereus isolated from retail aquatic products was extremely resistant to β-lactam antibiotics [48], which is consistent with the results of this study. In total, 39 strains of B. cereus isolated from ready-to-eat foods in Korea were sensitive to most of the antibiotics tested but highly resistant to β-lactam antibiotics [49].
Sulfonamides are also considered old antibiotics, and they are widely used in animal husbandry and aquaculture. Researchers have found a large number of sulfonamide-resistant microorganisms in the farm environment, livestock, and excreta [50,51]. Antibiotic studies of B. cereus isolated from raw foods showed that 24 strains of B. cereus were 100% resistant to sulfonamides [52]. The study of the antibiotic resistance of fish-derived B. cereus isolated from yellow-head catfish meat showed resistance to penicillin, ceftriaxone, oxacillin, ampicillin, ceftazidime, carbenicillin, cefuroxime, cefazolin, and Trimethoprim/Sulfamethoxazole [53], which was consistent with the results of the present study.
In a study of antibiotic resistance in B. cereus isolated from different regions, a geographical variation was found in B. cereus, leading to geographical variations in antibiotic resistance probably because of the frequency of antibiotic use within the region. The antibiotic resistance phenotyping of B. cereus isolated from different regions of China revealed that 238 strains of B. cereus were 100%, 100%, and 87.1% sensitive to gentamicin, vancomycin, and clindamycin, respectively [54]. The antibiotic resistance of B. cereus isolated from different food groups also varied with the resistance rate of B. cereus isolated from fresh vegetables, which was generally higher than that of B. cereus isolated from other foods. This result may be due to the presence of B. cereus antibiotic contamination in the soil environment when the fresh vegetables were grown, which was then carried over to the vegetables because of poor hygiene. The contamination status of antibiotics in vegetable soils in Yangling District, Shaanxi Province, was assessed; the detection rate of quinolone, sulfonamide, and tetracycline antibiotics in the soils of 20 planting bases was 100%, and the detection rate of macrolide antibiotics was 62% [19].
Multi-antibiotic-resistant strains refer to bacteria that are resistant to three or more antibiotics. At present, methicillin-resistant Staphylococcus aureus, carbapenem-resistant Enterobacteriaceae, and carbapenem-resistant Pseudomonas aeruginosa are being monitored in clinical practice. The multi-antibiotic resistance of B. cereus has become a serious public health problem that jeopardizes human health, and the investigation of its multi-antibiotic resistance is important. In the present study, while studying the isolated isolates of B. cereus, only two strains were non-resistant to 15 antibiotics, whereas the rest of the strains were resistant to 3 and more antibiotics, which amounted to a resistance rate of 94.52%. Therefore, the antibiotic resistance of B. cereus is serious, and this problem should be a matter of great concern to prevent the emergence of a large number of ultra-broad-spectrum-resistant strains and infections.
The 73 strains of B. cereus, as determined via partial antibiotic resistance gene detection, had a low compliance with the resistance phenotypic profile. Among them, sulfonamides were the most evident, with a coincidence rate of only 2.1%. Briefly, 95.89% of these isolates showed resistance to sulfonamide antibiotics in antibiotic sensitivity tests; however, no sulfonamide antibiotic-resistant genes were found in the actual tests. The mechanism of resistance of sulfonamide antibiotics is primarily through their interaction with an important folate synthase enzyme in bacterial growth, thereby inhibiting bacterial growth and reproduction, and achieving resistance. In contrast, resistance to sulfonamide antibiotics is primarily related to the mutated gene sul of folate synthase, which regulates the binding of folate synthase and sulfonamide antibiotics, thereby causing strains to produce resistance. The expression of sul genes in microorganisms was found to be time-specific, with both strains tested, with or without a sulfonamide antibiotic-resistant phenotype, showing the highest expression of sul genes at one point in time, followed by a rapid decline to a very low level [51]. However, the exact mechanism of action that produces these genes is currently unknown, which may explain the undetected sulfonamide-resistant gene. In addition, chloramphenicol-resistant phenotypes were found for resistance cases, but the results of resistance gene testing revealed that 37 strains carried chloramphenicol-resistant genes, which may be due to resistance gene silencing. An analysis of the resistance of lactic acid bacteria to antibiotics revealed that some strains were resistant to ampicillin, penicillin, chloramphenicol, and tetracycline, but no resistance genes were detected. Some other strains had a cat gene mediating chloramphenicol resistance, but none of these strains had phenotypic resistance to chloramphenicol, confirming the occurrence of resistance gene silencing [55]. In addition to these six major classes of antibiotics, genome-wide analysis also detected the presence of many other classes of resistance genes, demonstrating that the isolated B. cereus may also be at risk of resistance to other antibiotics.

5. Conclusions

In this study, 73 strains of B. cereus were isolated and purified from six kinds of commercially available plant foods in seven regions of a province. Resistant phenotypes of 73 B. cereus isolates were identified using the K-B paper diffusion method provided by CLSI. The results of antibiotic sensitivity tests showed that the overall antibiotic resistance of 73 strains of B. cereus was serious, except for that against gentamicin and chloramphenicol. All strains had different degrees of resistance to 13 other antibiotics, among which resistance to β-lactam and sulfonamide antibiotics was the most serious, and a large number of multi-antibiotic-resistant strains were found. Bioinformatic methods were used to analyze the expression of antibiotic-resistant genes in B. cereus. The results of antibiotic-resistant gene detection showed that three types of antibiotic-resistant genes were found to be associated with six types of antibiotics identified via an antibiotic-resistant phenotype. In addition, the presence of other resistant genes was found from the whole-genome information, indicating that B. cereus has a multi-antibiotic resistance potential for these antibiotics. The analysis of the correlation between antibiotic-resistant phenotypes and genotypes revealed remarkable differences among different types of antibiotic-resistant phenotype and genotype correspondence. This situation may be related to the resistance mechanism of different antibiotics. In this study, antibiotic resistance is not only present in B. cereus isolated from plant foods and edible wild mushrooms, but also in other bacteria that are present in other foods in daily life, which is a huge threat to human health. This study provides useful information on the presence of bacterial antibiotic resistance in various types of foods and highlights the importance of future research in this area.

Author Contributions

X.C.: conceptualization, methodology, and writing—original draft. Y.L.: validation and formal analysis. C.B.: writing—review and editing. J.C.: supervision, project administration, funding acquisition, and writing—review and editing. Y.S.: supervision, project administration, funding acquisition, and writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Key R & D Project of Yunnan Province: Social Development Field, grant number 2018BC006.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jessberger, N.; Dietrich, R.; Granum, P.E.; Märtlbauer, E. The Bacillus cereus Food Infection as Multifactorial Process. Toxins 2020, 12, 701. [Google Scholar] [CrossRef] [PubMed]
  2. Fiedler, G.; Schneider, C.; Igbinosa, E.O.; Kabisch, J.; Brinks, E.; Becker, B.; Stoll, D.A.; Cho, G.-S.; Huch, M.; Franz, C.M.A.P. Antibiotics Resistance and Toxin Profiles of Bacillus cereus-Group Isolates from Fresh Vegetables from German Retail Markets. BMC Microbiol. 2019, 19, 250. [Google Scholar] [CrossRef] [PubMed]
  3. Navaneethan, Y.; Effarizah, M.E. Prevalence, Toxigenic Profiles, Multidrug Resistance, and Biofilm Formation of Bacillus cereus Isolated from Ready-to Eat Cooked Rice in Penang, Malaysia. Food Control 2021, 121, 107553–107563. [Google Scholar] [CrossRef]
  4. Esteban-Cuesta, I.; Drees, N.; Ulrich, S.; Stauch, P.; Sperner, B.; Schwaiger, K.; Gareis, M.; Gottschalk, C. Endogenous Microbial Contamination of Melons (Cucumis Melo) from International Trade: An Underestimated Risk for the Consumer?: Endogenous Microbial Contamination of Retail Melons. J. Sci. Food Agric. 2018, 98, 5074–5081. [Google Scholar] [CrossRef] [PubMed]
  5. Fasolato, L.; Cardazzo, B.; Carraro, L.; Fontana, F.; Novelli, E.; Balzan, S. Edible Processed Insects from E-Commerce: Food Safety with a Focus on the Bacillus cereus Group. Food Microbiol. 2018, 76, 296–303. [Google Scholar] [CrossRef]
  6. Lin, Y.; Ren, F.; Zhao, L.; Guo, H. Genotypes and the Persistence Survival Phenotypes of Bacillus cereus Isolated from UHT Milk Processing Lines. Food Control 2017, 82, 48–56. [Google Scholar] [CrossRef]
  7. Adamski, P.; Byczkowska-Rostkowska, Z.; Gajewska, J.; Zakrzewski, A.J.; Kłębukowska, L. Prevalence and Antibiotic Resistance of Bacillus sp. Isolated from Raw Milk. Microorganisms 2023, 11, 1065. [Google Scholar] [CrossRef]
  8. Biesta-Peters, E.G.; Dissel, S.; Reij, M.W.; Zwietering, M.H.; In’T Veld, P.H. Characterization and Exposure Assessment of Emetic Bacillus cereus and Cereulide Production in Food Products on the Dutch Market. J. Food Prot. 2016, 79, 230–238. [Google Scholar] [CrossRef]
  9. Yibar, A.; ÇetiNkaya, F.; SoyutemiZ, E.; Yaman, G. Süt ve Peynirden İzole Edilen Bacillus cereus’un Prevalansı, Enterokoksin Üretimi ve Antibiyotik Direnci. Univ. Vet. Fak. Derg. 2017, 23, 635–642. [Google Scholar]
  10. Flores-Urbán, K.A.; Natividad-Bonifacio, I.; Vázquez-Quiñones, C.R.; Vázquez-Salinas, C.; Quiñones-Ramírez, E.I. Detection of Toxigenic Bacillus cereus Strains Isolated from Vegetables in Mexico City. J. Food Prot. 2014, 77, 2144–2147. [Google Scholar] [CrossRef]
  11. Kim, C.-W.; Cho, S.-H.; Kang, S.-H.; Park, Y.-B.; Yoon, M.-H.; Lee, J.-B.; No, W.-S.; Kim, J.-B. Prevalence, Genetic Diversity, and Antibiotic Resistance of Bacillus cereus Isolated from Korean Fermented Soybean Products: B. cereus in Korean Soybean Products. J. Food Sci. 2015, 80, M123–M128. [Google Scholar] [CrossRef] [PubMed]
  12. Baghbadorani, S.T.; Rahimi, E.; Shakerian, A. Investigation of Virulence and Antibiotic-Resistance of Bacillus cereus Isolated from Various Spices. Can. J. Infect. Dis. Med. Microbiol. 2023, 2023, 8390778–8390784. [Google Scholar] [CrossRef] [PubMed]
  13. Hwang, J.-Y.; Park, J.-H. Characteristics of Enterotoxin Distribution, Hemolysis, Lecithinase, and Starch Hydrolysis of Bacillus cereus Isolated from Infant Formulas and Ready-to-Eat Foods. J. Dairy Sci. 2015, 98, 1652–1660. [Google Scholar] [CrossRef] [PubMed]
  14. Guinebretière, M.-H.; Velge, P.; Couvert, O.; Carlin, F.; Debuyser, M.-L.; Nguyen-The, C. Ability of Bacillus cereus Group Strains To Cause Food Poisoning Varies According to Phylogenetic Affiliation (Groups I to VII) Rather than Species Affiliation. J. Clin. Microbiol. 2010, 48, 3388–3391. [Google Scholar] [CrossRef] [PubMed]
  15. Wright, G.D.; Poinar, H. Antibiotic Resistance Is Ancient: Implications for Drug Discovery. Trends Microbiol. 2012, 20, 157–159. [Google Scholar] [CrossRef]
  16. Toro, N. Who Global Strategy on Integrated People-Centred Health Services (IPCHS)/Estrategia Mundial En Servicios de Salud Integrada Centrado En Las Personas (IPCHS). Int. J. Integr. Care 2015, 15, 19–21. [Google Scholar] [CrossRef]
  17. Mancuso, G.; Midiri, A.; Gerace, E.; Biondo, C. Bacterial Antibiotic Resistance: The Most Critical Pathogens. Pathogens 2021, 10, 1310. [Google Scholar] [CrossRef]
  18. Roca, I.; Akova, M.; Baquero, F.; Carlet, J.; Cavaleri, M.; Coenen, S.; Cohen, J.; Findlay, D.; Gyssens, I.; Heuer, O.E.; et al. Corrigendum to “The Global Threat of Antimicrobial Resistance: Science for Intervention”. New Microbes New Infect. 2015, 8, 22–29. [Google Scholar] [CrossRef]
  19. Li, G.X.; Cui, L.H.; Liu, Y.S. Evaluation of Antibiotic Pollution in Soil of Vegetable Base in Yangling District, Shaanxi Province. Agric. Eng. 2021, 11, 41–46. [Google Scholar]
  20. Ding, Y.T. The research progress on mechanism of bacterial resistance at home and aboad. Mod. Prev. Med. 2013, 40, 1109–1111. [Google Scholar]
  21. Cao, F.Y. Research on the Virulence Genes and Antibiotic Resistance Phenotypes of Bacillus cereus Detected from Fermented Bean Curd in Beijing. Master’s Thesis, Northeast Agricultural University, Harbin, China, 2017. [Google Scholar]
  22. Li, Y.J. Analysis of Endophytic Bacterial Diversity and Antibiotic Resistance in Edible Fungi in Yunnan. Master’s Thesis, Kunming University of Science and Technology, Kunming, China, 2020. [Google Scholar]
  23. Etikala, A.; Thamburaj, S.; Johnson, A.M.; Sarma, C.; Mummaleti, G.; Kalakandan, S.K. Incidence, Toxin Gene Profile, Antibiotic Resistance and Antibacterial Activity of Allium Parvum and Allium Cepa Extracts on Bacillus cereus Isolated from Fermented Millet-Based Food. LWT 2022, 160, 113314–113328. [Google Scholar] [CrossRef]
  24. Jensen, L.B.; Baloda, S.; Boye, M.; Aarestrup, F.M. Antimicrobial Resistance among Pseudomonas spp. and the Bacillus cereus Group Isolated from Danish Agricultural Soil. Environ. Int. 2001, 26, 581–587. [Google Scholar] [CrossRef]
  25. Wang, J.; Wang, L.; Zhu, L.; Wang, J.; Xing, B. Antibiotic Resistance in Agricultural Soils: Source, Fate, Mechanism and Attenuation Strategy. Crit. Rev. Environ. Sci. Technol. 2022, 52, 847–889. [Google Scholar] [CrossRef]
  26. Yu, P.; Yu, S.; Wang, J.; Guo, H.; Zhang, Y.; Liao, X.; Zhang, J.; Wu, S.; Gu, Q.; Xue, L.; et al. Corrigendum: Bacillus cereus Isolated From Vegetables in China: Incidence, Genetic Diversity, Virulence Genes, and Antimicrobial Resistance. Front. Microbiol. 2020, 11, 848–850. [Google Scholar] [CrossRef]
  27. Park, K.M.; Jeong, M.; Park, K.J.; Koo, M. Prevalence, Enterotoxin Genes, and Antibiotic Resistance of Bacillus cereus Isolated from Raw Vegetables in Korea. J. Food Prot. 2018, 81, 1590–1597. [Google Scholar] [CrossRef]
  28. Jung, J.; Jin, H.; Seo, S.; Jeong, M.; Kim, B.; Ryu, K.; Oh, K. Short Communication: Enterotoxin Genes and Antibiotic Susceptibility of Bacillus cereus Isolated from Garlic Chives and Agricultural Environment. Int. J. Environ. Res. Public Health 2022, 19, 12159. [Google Scholar] [CrossRef] [PubMed]
  29. Hernández, A.G.C.; Ortiz, V.G.; Gómez, J.L.A.; López, M.Á.R.; Morales, J.A.R.; Macías, A.F.; Hidalgo, E.Á.; Ramírez, J.N.; Gallardo, F.J.F.; Gutiérrez, M.C.G.; et al. Detection of Bacillus cereus Sensu Lato Isolates Posing Potential Health Risks in Mexican Chili Powder. Microorganisms 2021, 9, 2226. [Google Scholar] [CrossRef] [PubMed]
  30. Guo, H.; Yu, P.; Yu, S.; Wang, J.; Zhang, J.; Zhang, Y.; Liao, X.; Wu, S.; Ye, Q.; Yang, X.; et al. Incidence, Toxin Gene Profiling, Antimicrobial Susceptibility, and Genetic Diversity of Bacillus cereus Isolated from Quick-Frozen Food in China. LWT 2021, 140, 110824–110832. [Google Scholar] [CrossRef]
  31. Yu, S.Y.; Deng, S.Z. Epidemiological analysis on foodborne diseases in Yunnan Province from 2010–2014. Occup. Health 2016, 14, 1919–1922. [Google Scholar]
  32. Su, W.W.; Yang, Y.L.; Dong, H.Y.; Wan, Q.Q.; Zhao, J.; Chen, L.P.; Zhang, Q.; Zhu, X.; Liu, Z.T. Epidemiological analysis of foodborne disease outbreaks in schools in Yunnan Province, 2010–2020. Pract. Prev. Med. 2022, 1035–1038. [Google Scholar]
  33. Chen, L.P.; Zhao, J.; Liu, Z.T. Analysis of family foodborne disease outbreaks in Yunnan Province from 2015–2019. Chin. J. Food Hyginen 2021, 4, 440–443. [Google Scholar]
  34. GB 4789.14-2014; National Safety Standard for Food-Microbiological Examination of Food-Test for Bacillus cereus. China Standards Press: Beijing, China, 2015.
  35. Frank, J.A.; Reich, C.I.; Sharma, S.; Weisbaum, J.S.; Wilson, B.A.; Olsen, G.J. Critical Evaluation of Two Primers Commonly Used for Amplification of Bacterial 16S rRNA Genes. Appl. Environ. Microbiol. 2008, 74, 2461–2470. [Google Scholar] [CrossRef] [PubMed]
  36. Janda, J.M.; Abbott, S.L. 16S rRNA Gene Sequencing for Bacterial Identification in the Diagnostic Laboratory: Pluses, Perils, and Pitfalls. J. Clin. Microbiol. 2007, 45, 2761–2764. [Google Scholar] [CrossRef]
  37. Zhang, H.; Liu, X.W.; Gu, Q.F.; Chang, Z.Y.; Zhu, Y.Q.; Zhang, X. Molecular characteristics and antibiotic resistance of Bacillus cereus from foods using whole genome sequencing. Chin. J. Food Hyg. 2021, 33, 529–535. [Google Scholar]
  38. Fraccalvieri, R.; Bianco, A.; Difato, L.M.; Capozzi, L.; Del Sambro, L.; Simone, D.; Catanzariti, R.; Caruso, M.; Galante, D.; Normanno, G.; et al. Toxigenic Genes, Pathogenic Potential and Antimicrobial Resistance of Bacillus cereus Group Isolated from Ice Cream and Characterized by Whole Genome Sequencing. Foods 2022, 11, 2480. [Google Scholar] [CrossRef]
  39. Léonard, C.; Chen, Y.; Mahillon, J. Diversity and Differential Distribution of IS231, IS232 and IS240 among Bacillus cereus, Bacillus thuringiensis and Bacillus mycoides. Microbiology 1997, 143, 2537–2547. [Google Scholar] [CrossRef] [PubMed]
  40. Fei, P.; Yuan, X.; Zhao, S.; Yang, T.; Xiang, J.; Chen, X.; Zhou, L.; Ji, M. Prevalence and Genetic Diversity of Bacillus cereus Isolated from Raw Milk and Cattle Farm Environments. Curr. Microbiol. 2019, 76, 1355–1360. [Google Scholar] [CrossRef]
  41. Fox, G.E.; Wisotzkey, J.D.; Jurtshuk, P. How Close Is Close: 16S rRNA Sequence Identity May Not Be Sufficient To Guarantee Species Identity. Int. J. Syst. Bacteriol. 1992, 42, 166–170. [Google Scholar] [CrossRef]
  42. CLSI. Performance Standards for Antimicrobial Susceptibility Testing, 31st ed.; CLSI Supplement M100; Clinical Laboratory Standards Institute: Wayne, PA, USA, 2021. [Google Scholar]
  43. Mills, E.; Sullivan, E.; Kovac, J. Comparative Analysis of Bacillus cereus Group Isolates’ Resistance Using Disk Diffusion and Broth Microdilution and the Correlation between Antimicrobial Resistance Phenotypes and Genotypes. Appl. Environ. Microbiol. 2022, 88, e02302-21. [Google Scholar] [CrossRef]
  44. Rajalingam, N.; Jung, J.; Seo, S.-M.; Jin, H.-S.; Kim, B.-E.; Jeong, M.-I.; Kim, D.; Ryu, J.-G.; Ryu, K.-Y.; Oh, K.K. Prevalence, Distribution, Enterotoxin Profiles, Antimicrobial Resistance, and Genetic Diversity of Bacillus cereus Group Isolates from Lettuce Farms in Korea. Front. Microbiol. 2022, 13, 906040–906052. [Google Scholar] [CrossRef]
  45. Xiao, D.; Tong, C.; Yang, T.; Huo, Z.; Li, Y.; Zeng, Z.; Xiong, W. First Insights into Antimicrobial Resistance, Toxigenic Profiles, and Genetic Diversity in Bacillus cereus Isolated from Chinese Sausages. LWT 2023, 181, 114717–114725. [Google Scholar] [CrossRef]
  46. Jia, B.; Raphenya, A.R.; Alcock, B.; Waglechner, N.; Guo, P.; Tsang, K.K.; Lago, B.A.; Dave, B.M.; Pereira, S.; Sharma, A.N.; et al. CARD 2017: Expansion and Model-Centric Curation of the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 2017, 45, D566–D573. [Google Scholar] [CrossRef] [PubMed]
  47. Zhang, Y.; Chen, M.; Yu, P.; Yu, S.; Wang, J.; Guo, H.; Zhang, J.; Zhou, H.; Chen, M.; Zeng, H.; et al. Prevalence, Virulence Feature, Antibiotic Resistance and MLST Typing of Bacillus cereus Isolated From Retail Aquatic Products in China. Front. Microbiol. 2020, 11, 1513. [Google Scholar] [CrossRef]
  48. Zhang, H.; Li, K.; Wang, Y.; Rehman, M.U.; Liu, Y.; Jin, J.; Peng, J.; Nabi, F.; Mehmood, K.; Luo, H.; et al. Investigation and Characterization of β-Lactam Resistance in Escherichia Coli Strains Isolated from Bamboo Rats (Rhizomys Sinensis) in Zhejiang Province, China. J. Vet. Med. Sci. 2017, 79, 1633–1636. [Google Scholar] [CrossRef] [PubMed]
  49. Lee, N.; Sun, J.M.; Kwon, K.Y.; Kim, H.J.; Koo, M.; Chun, H.S. Genetic Diversity, Antimicrobial Resistance, and Toxigenic Profiles of Bacillus cereus Strains Isolated from Sunsik. J. Food Prot. 2012, 75, 225–230. [Google Scholar] [CrossRef]
  50. Liu, L.Y.; Huang, W.; Lv, X.; He, X.Y.; Chen, L.H.; Song, Y.K. Effect of Long-term Biogas Slurry Fertilization on Distribution of Tetracycline and Sulfonamide Resistance Genes in Soil. Fujian J. Agric. Sci. 2021, 36, 699–705. [Google Scholar]
  51. Wang, N.; Yang, X.H.; Guo, X.Y.; Chen, B.; Ye, B.P.; Ge, F. Expression Patterns of sul Genes in Sulfonamide-Resistant Bacteria. Asian J. Ecotoxicol. 2015, 10, 75–81. [Google Scholar]
  52. Tian, W.F.; Zhang, R.; Long, H.; Liu, L.; He, S.W.; Du, X.; Jiang, M.; Zhao, Y.; Tang, J.N. Analysis of virulence gene detection and antimicrobial susceptibility of Bacillus cereus isolated from fresh food. Sci. Technol. Food Ind. 2018, 39, 135–139+51. [Google Scholar]
  53. Dou, P.P.; Wang, L.; Fang, Q.; Li, J. Isolation, Idengtification and Drug Resistnce Analysis of Bacillus cereus Isolated from Fish. China Anim. Husb. Vet. Med. 2019, 46, 2745–2752. [Google Scholar]
  54. Zhuang, Z.H.; He, L.; Guo, Y.C.; Pei, X.Y.; Fu, P.; Wang, X.Y. Virulent gene profiles and antibiotic susceptibility of foodborne Bacillus cereus in China. Chin. J. Food Hyg. 2013, 25, 198–201. [Google Scholar]
  55. Hummel, A.S.; Hertel, C.; Holzapfel, W.H.; Franz, C.M.A.P. Antibiotic Resistances of Starter and Probiotic Strains of Lactic Acid Bacteria. Appl. Environ. Microbiol. 2007, 73, 730–739. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Antimicrobial resistance statistics for 73 B. cereus. (A) Resistance rate of 73 strains of B. cereus to 15 antibiotics; (B) resistance rate of 73 strains of B. cereus to 6 major classes of antibiotics.
Figure 1. Antimicrobial resistance statistics for 73 B. cereus. (A) Resistance rate of 73 strains of B. cereus to 15 antibiotics; (B) resistance rate of 73 strains of B. cereus to 6 major classes of antibiotics.
Microorganisms 11 02948 g001
Table 1. Antimicrobial resistance of B. cereus in different regions.
Table 1. Antimicrobial resistance of B. cereus in different regions.
Antibiotic *Resistance Rate (%)
Region ARegion BRegion CRegion DRegion ERegion FRegion G
Ceftazidime (CAZ)901008095.451008091.67
Cephalothin (CEP)9078.578072.738010066.67
Ampicillin (AMP)901008095.458010075
Amoxicillin (AMX)9085.718095.458010083.33
Cefotaxime (CTX)9010010095.451008091.67
Ticarcillin-Clavulanic acid (TCC)6064.294086.36808083.33
Chloramphenicol (CHL)0000000
Imipenem (IPM)0009.09000
Streptomycin (STR)07.14000200
Kanamycin (KAN)0000008.33
Gentamicin (GEN)0000000
Nalidixic acid (NAL)0004.55008.33
Ciprofloxacin (CIP)2028.57409.092000
Trimethoprim/Sulfamethoxazole (SXT)9010010095.4580100100
Sulfisoxazole (SOX)2028.572018.18206050
* Complete name of antibiotics (antibiotic abbreviations).
Table 2. Antimicrobial resistance of B. cereus in different foods.
Table 2. Antimicrobial resistance of B. cereus in different foods.
AntibioticResistance Rate (%)
Wild MushroomSoybean ProductsFresh
Vegetables
Preserved
Vegetable
Frozen FoodCereals
CAZ90.919093.3394.7492.86100
CEP72.735093.3373.6885.71100
AMP90.918010089.4792.8675
AMX81.828093.3389.4792.86100
CTX1009010094.7492.86100
TCC63.64608073.6878.57100
CHL000000
IPM006.675.2600
STR006.6707.140
KAN0100000
GEN000000
NAL00010.5300
CIP18.181013.3315.7921.430
SXT10010010094.7485.71100
SOX18.184026.6747.377.1425
Table 3. Multi-resistance profile of 73 B. cereus to 15 antibiotics.
Table 3. Multi-resistance profile of 73 B. cereus to 15 antibiotics.
Type of ResistanceResistant SpectrumNumber
of Isolates
Proportion (%)
022.74%
2K-SXT12.74%
CTX-SXT1
3CAZ-CTX-SXT12.74%
CF-AMP-AMX1
4CAZ-AMP-CTX-SXT11.37%
5CAZ-AMP-AMX-CTX-SXT11.37%
6CAZ-AMP-AMX-CTX-TIC-SXT515.07%
CAZ-CF-AMP-AMX-CTX-SXT1
CAZ-AMP-CTX-TIC-SXT-SF1
CAZ-AMX-CTX-TIC-SXT-SF1
CAZ-CF-AMP-CTX-SXT-SF1
CAZ-CF-AMP-AMX-CTX-CIP1
CAZ-CF-AMX-CTX-TIC-SXT1
7CAZ-CF-AMP-AMX-CTX-TIC-SXT2649.31%
CAZ-CF-AMP-AMX-CTX-CIP-SXT8
CAZ-AMP-AMX-CTX-TIC-SXT-SF1
CAZ-CF-AMP-AMX-CTX-TIC-CIP1
8CAZ-CF-AMP-AMX-CTX-TIC-SXT-SF1320.55%
CAZ-AMP-AMX-CTX-TIC-NA-SXT-SF1
CAZ-CF-AMP-AMX-CTX-TIC-S-SXT1
9CAZ-CF-AMP-AMX-CTX-TIC-IPM-SXT-SF22.74%
10CAZ-CF-AMP-AMX-CTX-TIC-NA-CIP-SXT-SF11.37%
Table 4. Multi-resistance profile of 73 B. cereus to 6 classes of antibiotics.
Table 4. Multi-resistance profile of 73 B. cereus to 6 classes of antibiotics.
Type of ResistanceResistant SpectrumNumber of IsolatesProportion (%)
0-22.74%
2β-lactams—Sulfonamides5479.45%
β-lactams—Aminoglycosides1
β-lactams—Quinolones2
Aminoglycosides—Sulfonamides1
3β-lactams—Quinolones—Sulfonamides1017.81%
β-lactams—Carbapenems—Sulfonamides2
β-lactams—Aminoglycosides—Sulfonamides1
Table 5. Results of antimicrobial resistance gene detection in 73 B. cereus.
Table 5. Results of antimicrobial resistance gene detection in 73 B. cereus.
Antibiotic CategoryResistance Gene
Spectrum
Number of IsolatesDetection Rate (%)
β-lactamsbla, bla273100
bla, bla2, blaTEM11.37
bla, bla2, hugA34.11
bla, bla2, blaOXA11.37
ChloramphenicolscatA3750.68
Aminoglycosidesaph(3′)-Iia45.48
Ant (6)1621.92
aadA1, aadA3122.74
ant (6), ant (4′)-I11.37
Macrolidesabc-f7298.63
mphL810.96
abc-f, mphL79.59
abc-f, msr, cfr11.37
FosfomycinsfosB73100
Lincosamideslsa1115.07
cfr11.37
Streptomycinsvat73100
vat, lsa1216.44
vat, cfr11.37
GlycopeptidesvanR-A1013.7
vanR, vanS34.11
vanR-A, vanS-Pt, vanY34.11
vanR-A, vanS-Pt79.59
Tetracyclinestet810.96
tet(H)11.37
tet_rib_protect22.74
tet(H), tet_rib_protect11.37
Table 6. Conformity of antimicrobial resistance phenotypes and genotypes.
Table 6. Conformity of antimicrobial resistance phenotypes and genotypes.
Antibiotic
Category
Sensitive StrainDrug Resistant StrainTotal
Rates (%)
SensitivityNot Carrying Drug-Resistant GenesCoincidence Rates (%)Drug
Resistance
Carrying
Resistance Genes
Coincidence Rates (%)
β-lactams00100707395.8995.89
Chloramphenicols713650.7037033.33
Carbapenems687393.1520090.67
Aminoglycosides615081.9732313.0463.1
Quinolones577378.08120067.06
Sulfonamides3734.1170002.1
Total------50.53
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

Cha, X.; Lin, Y.; Brennan, C.; Cao, J.; Shang, Y. Antibiotic Resistance of Bacillus cereus in Plant Foods and Edible Wild Mushrooms in a Province. Microorganisms 2023, 11, 2948. https://doi.org/10.3390/microorganisms11122948

AMA Style

Cha X, Lin Y, Brennan C, Cao J, Shang Y. Antibiotic Resistance of Bacillus cereus in Plant Foods and Edible Wild Mushrooms in a Province. Microorganisms. 2023; 11(12):2948. https://doi.org/10.3390/microorganisms11122948

Chicago/Turabian Style

Cha, Xiaoyan, Yingting Lin, Charles Brennan, Jianxin Cao, and Ying Shang. 2023. "Antibiotic Resistance of Bacillus cereus in Plant Foods and Edible Wild Mushrooms in a Province" Microorganisms 11, no. 12: 2948. https://doi.org/10.3390/microorganisms11122948

APA Style

Cha, X., Lin, Y., Brennan, C., Cao, J., & Shang, Y. (2023). Antibiotic Resistance of Bacillus cereus in Plant Foods and Edible Wild Mushrooms in a Province. Microorganisms, 11(12), 2948. https://doi.org/10.3390/microorganisms11122948

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