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Article

Bacterial Diversity and Antimicrobial Resistance of Microorganisms Isolated from Teat Cup Liners in Dairy Farms in Shandong Province, China

by
Guangwei Yan
1,†,
Shengnan Wang
1,2,†,
Yuehui Cui
1,
Kun Xue
1,
Yongxia Liu
3,* and
Jianzhu Liu
1,*
1
College of Veterinary Medicine, Shandong Agricultural University, Tai’an 271018, China
2
The ShangHai Hanvet Bio-Pharm Co., Ltd., Shanghai 200135, China
3
Research Center for Animal Disease Control Engineering, Shandong Agricultural University, Tai’an 271018, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Animals 2024, 14(15), 2167; https://doi.org/10.3390/ani14152167
Submission received: 11 June 2024 / Revised: 2 July 2024 / Accepted: 22 July 2024 / Published: 25 July 2024
(This article belongs to the Section Cattle)
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Abstract

:

Simple Summary

Assessing the quality of raw milk is crucial for humans’ well-being. This study aimed to evaluate the bacterial composition and antimicrobial resistance in the tea cup liners of dairy cow milking equipment. The objective was to determine the potential risk of bacterial contamination in raw milk during the milking process and the transmission of antimicrobial-resistant bacteria through milk sources. The study found that Bacillus spp. were the most prevalent bacteria identified on the teat cup liners. A significant proportion of these bacteria showed significant resistance to various antibiotics, such as lincomycin, sulfadiazine, and streptomycin. Multiple antimicrobial resistance genes were also detected, indicating the potential transmission of antimicrobial-resistant bacteria in the milk samples. These findings underscore the imperative to enhance disinfection protocols within dairy farms and milking equipment. The results accentuate the enduring peril of disseminating antimicrobial-resistant bacteria via contaminated milk sources. Taking heed of this finding will contribute to the sustainable development of the dairy industry while mitigating the hazards associated with food safety. Increasing awareness of the potential dissemination of antimicrobial-resistant bacteria through dairy products can foster the implementation of appropriate measures to ensure the secure production and consumption of such products, thereby safeguarding public health and welfare.

Abstract

Global milk consumption exceeds 800 million tons a year and is still growing. Milk quality and its products are critical to human health. A teat cup makes direct contact with the cow’s teats during milking and its cleanliness is very important for the quality of raw milk. In this study, the microorganism from post-milking teat cup liners were collected from six dairy farms in Shandong Province of China, the bacterial species were identified using microbial mass spectrometry, the minimum inhibitory concentrations of the isolated strains against ten antimicrobial agents were determined using the broth microdilution method, and the antimicrobial resistance genes were detected by PCR. The results indicated that the most frequently isolated bacteria in this study were Bacillus licheniformis (39/276, 14.13%), followed by Bacillus pumilus (20/276, 7.25%), Bacillus cereus (17/276, 6.16%), and Bacillus subtili (16/276, 5.80%). The isolates exhibited the highest average resistance to lincomycin (87.37%), followed by sulfadiazine (61.05%) and streptomycin (42.63%); the highest detection rate of resistance genes was Sul1 (55.43%), followed by ant(4’) (51.09%), tet(M) (25.36%), blaKPC (3.62%) and qnrS (3.62%). These findings imply the necessity for enhanced measures in disinfecting cow udders and milking equipment, highlighting the persistently challenging issue of antimicrobial resistance in Shandong Province.

1. Introduction

Milk and its products are foods with high nutritional content, providing humans with high-quality proteins, bioavailable amino acids, and a wide range of vitamins and minerals [1]. However, the milking process can lead to the contamination of milk with bacteria, which can seriously affect the quality of the milk and threaten food safety. Although cows’ udders and milking equipment are usually disinfected prior to milking, the effectiveness of disinfection and the presence of pathogenic bacteria residues after disinfection are still not very certain. To assess the probability of bacterial contamination of the milk source through the milking process and the risk of transmission of antimicrobial resistance genes (ARGs) through the milk source, we collected samples from teat cup liners after milking from six dairy farms in the Shandong Province of China and tested the samples for bacterial abundance, bacterial antimicrobial resistance, and the presence of ARGs.
Understanding the bacterial diversity and antimicrobial resistance (AMR) of the teat cups, which are an important part of the milking machine and whose liners come into direct contact with the skin on the udder surface and raw milk during milking, will help assess the quality of raw milk and has implications for food safety as well as public health. Bacteria that come into contact with the lining of the teat cups have a high probability of entering the raw milk, which can lead to milk spoilage and food poisoning. Bacillus cereus is a common and prevalent foodborne pathogen in Chinese dairy products, increasing the risk of food poisoning and other illnesses [2]. In addition to this, the spread of antimicrobial-resistant bacteria through the food chain can lead to an increase in acquired antimicrobial resistance, posing a major public health threat [3]. Bacteria such as Staphylococcus aureus, Streptococcus dysgalactiae, and Escherichia coli have been identified as common pathogens that cause mastitis in dairy cows, and these bacteria are resistant to many first-line antimicrobial drugs [4]. Mastitis is one of the most common causes of antimicrobial use in dairy herds to treat cows, and high levels of antimicrobial use can create selection pressure on bacteria, leading to the predominance of antimicrobial-resistant strains. Pathogen resistance in turn can lead to lower cure rates in clinical-type mastitis cases and can be transmitted to humans through the food chain, leading to public health problems [5]. AMR is a global health concern. The discovery of Klebsiella pneumoniae carrying the NDM-1 enzyme in 2009 raised serious concerns. NDM-1 can break down many antibiotics, including carbapenems, which are often the last resort for treating resistant infections. This highlights the urgent need to address AMR [6,7]. In 2016, another resistance gene mcr-1 against colistin resistance was detected, and treating bacterial infections containing colistin resistance genes will also be a major challenge, as antimicrobials against Gram-negative bacteria are very limited [8].
The heavy use of antimicrobials in past decades has put selection pressure on bacteria, making it easier for antimicrobial-resistant strains to survive. This has led to the development of antimicrobial resistance, which poses a major threat to global public health [9]. This study investigated the prevalence of bacteria and antimicrobial resistance in milk cup liners from dairy farms in Shandong Province. The aim was to assess the potential for milk source contamination during milking and the risk of transmitting animal-derived antimicrobial-resistant bacteria to humans via the milk supply. The findings contribute to data for clinical antimicrobial use, milk safety, and the sustainable development of the dairy industry.

2. Materials and Methods

2.1. Sample Collection

Samples were obtained from Tai’ an (TA), Dongying (DY), and Qingdao (QD) in Shandong Province, and two dairy farms in each region were selected for sampling. The post-milking teat cup liners were randomly selected with sterile latex gloves using autoclaved cotton swabs and immediately placed in 1.5 mL centrifuge tubes containing sterile saline, and the samples were stored in a cooler with ice packs and transported to the laboratory within 24 h for testing. A total of 248 samples were collected from six dairy farms from March to May 2022.

2.2. Bacterial Isolation and Identification

The collected samples were all inoculated in LB agar (Solarbio, Beijing, China) containing 5% defibrinated sheep blood and incubated for 24 h at 37 °C in a constant temperature bacterial incubator. After selecting individual colonies and repeating the above incubation steps 3–5 times, a total of 276 bacteria were isolated and identified using a microbial mass spectrometer (MALDI Biotyper, Bruker, Ettlingen, Germany).

2.3. Antimicrobial Susceptibility Tests

Antimicrobial resistance characteristics of all isolates were determined using the microbroth dilution method according to Clinical and Laboratory Standards Institute Guidelines 2020 (CLSI, 2020). The following antimicrobial agents were tested: colistin sulfate (PB), ampicillin sodium (AMP), streptomycin sulfate (STS), neomycin sulfate (Nm), lincomycin hydrochloride (LIN), sulfadiazine (SD), ceftriaxone sodium (CRO), gentamicin sulfate (GM), levofloxacin (LVX), and doxycycline hydrochloride (DO). All the above drugs were purchased from the Shanghai MacLean Company (Shanghai, China). Escherichia coli ATCC 25922 and Staphylococcus aureus ATCC 29213 were used as quality control strains. Refer to CLSI 2020 and the European Commission Antimicrobial Susceptibility Test (https://www.eucast.org/) to assess antimicrobial susceptibility results. Multidrug resistance (MDR) is defined as acquired insusceptibility to at least one of three or more classes of antimicrobials.

2.4. Detection of Antimicrobial Resistance Genes

The boiling method for extracting bacterial genomic DNA was optimized based on the original method [10]. PCR amplification of antimicrobial resistance genes was performed with synthetic primers (Sangon Biotech, Shanghai, China) and PCR products were evaluated by agarose gel electrophoresis. Seven classes of antimicrobial resistance genes were examined, including polymyxin resistance genes (mcr-1); β-lactam resistance genes (blaKPC, blaNDM-1); sulfonamide resistance genes (sul1); aminoglycoside resistance genes (aph(2″), ant(4′)); quinolone resistance genes (qnrS); tetracycline resistance genes (tet(M)); and lincosamine resistance genes (lnuB) (primer sequences and sources are shown in Supplementary Table S1).

2.5. Statistical Analysis

Statistical analysis was performed using a Fisher’s exact test to determine significant differences in the proportions of antibiotic-resistant strains among the various sampling environments. Data organization was completed using Microsoft Excel 2020 (Microsoft Corporation, Redmond, WA, USA), and graphs were generated using Origin 2022 (OriginLab Corporation, Northampton, MA, USA).

3. Results

3.1. Bacterial Isolation

In this survey, we collected 248 samples from three regions in Shandong Province, including 128 samples from TA, 60 samples from DY, and 60 samples from QD (Figure 1A). Since the milking equipment and udder are disinfected prior to milking, not all samples were isolated for bacteria. The positive rate of bacterial isolation of samples represents, to some extent, the effectiveness of the disinfection procedure and the cleanliness of the udder. Among them, the lowest bacterial isolation rate was 39.47% (30/76) in one farm in Tai’an, and the highest positive rate was 100% (30/30) in one farm in Qingdao, with an average positive rate of 61.69% (153/248), indicating that the probability of bacterial contamination of milk through the milking process was more than 50% (Table 1), with large differences in sanitary conditions and disinfection procedures among different farms. In this study, 276 isolates belonging to 73 species were identified from 248 samples, of which Bacillus licheniformis (39/276, 14.13%) was the most frequently isolated, followed by Bacillus pumilus (20/276, 7.25%), Bacillus cereus (17/276, 6.16%) and Bacillus subtilis (16/276, 5.78%) (Figure 1B). B. cereus is one of the major foodborne pathogens, and ingestion of food containing this bacterium can lead to the risk of foodborne illness, mainly in the form of gastrointestinal symptoms such as diarrhea and vomiting [11].
Subsequently, we statistically analyzed the distribution of isolates at the phylum level, and the data showed that Firmicutes accounted for the largest proportion in both TA and DY, while Actinobacteria accounted for the largest proportion in QD (Figure 2A). Specifically for each farm, Firmicutes accounted for the largest share, except for Qingdao’s first sampling farm (QD1), where actinobacteria accounted for the largest share (Figure 2B). At the species level, the largest number of isolates in TA were B. licheniformis, B. cereus, and B. pumilus; the largest number of isolates in DY were B. licheniformis, Bacillus amyloliquefaciens ssp plantarum, Staphylococcus haemolyticus; the largest number of isolates in QD were Staphylococcus chromogenes, Kocuria palustris, and Glutamicibacter arilaitensis (Figure 2C). Specifically for each farm, the most isolated species was B. cereus in Taian’s first sampling farm (TA1), Rothia endophytica in the second sampling farm in Tai’an (TA2), B. licheniformis in both Dongying’s first sampling farm (DY1) and the second sampling farm in Dongying (DY2), Kocuria palustris in QD1, and Staphylococcus chromogenes in the second sampling farm in Qingdao (QD2) (Figure 2D).
In order to understand the differences of bacterial diversity among each region, the isolated bacteria were analyzed statistically. The results showed that TA isolated the most abundant bacterial species with 42 species, followed by QD with 31 species and DY with 29 species. Among them, 25 species of bacteria were independently detected in TA, 15 species in QD, 12 species in DY, and eight species of the same bacteria were isolated from the three regions (Figure 3A). Specifically for the farms, TA2 and QD1 had the most species of bacteria independently, with 18 and 11 species, respectively, and only one species of bacteria common to the six sites was B. licheniformis (Figure 3B).

3.2. Antimicrobial Resistance and MDR Profile

In this study, a total of nine common antimicrobial agents were screened for antimicrobial resistance and the minimum inhibitory concentration (MIC) of 276 isolates was determined. The MIC of isolates with too few numbers would have some uncertainty in regard to use as credible data, so we only analyzed the resistance rate for isolates with ≥5 isolates (16 species, 190 isolates). The results showed that the susceptibility of all isolates to the nine antimicrobials varied, and the overall resistance rate ranged from 0% to 87.37%, with a mean resistance rate of 87.37% (166/190) for LIN, 61.05% (116/190) for SD, 42.63% (81/190) for STS, and 0% for DO, which had the lowest resistance rate (Figure 4A). The MDR rate of the bacteria isolated in this experiment was relatively low, only 33.16% (63/190) compared to the 100% found by Li et al. [12]. Resistance to three antimicrobials was the most prevalent among MDR isolates at 22.63% (43/190). Most MDR isolates were resistant to three–four antimicrobials, accounting for 87.3% (55/63) of multi-resistant isolates. The most antimicrobial-resistant MDR isolates were resistant to six antimicrobials simultaneously (Figure 4B).

3.3. Antimicrobial Resistance Genes

In the current study, nine antimicrobial resistance genes were tested in 276 bacterial isolates, with seven of them having positive rates ranging from 55.43% to 0.72%. The highest positive rate was Sul1 (55.43%), the lowest was mcr-1 and LnuB (0.72%), and neither NDM-1 nor aph(2″) was detected (Figure 5). Taken together, the positive rate of antimicrobial resistance genes in dairy farms in Shandong Province was generally lower than that in broiler farms compared to the antimicrobial resistance genes detected in broiler farms in Shandong Province by Li et al. (94% Sul1 detection rate) [12].

4. Discussion

This study reported that the bacterial positivity rate of teat cup liners after milking in Shandong was 61.69% (153/248), indicating that more than half of the raw milk may be contaminated with bacteria from the udder surface or teat cup lining during milking, which reminds us that disinfection of cow udders and milking equipment may not be taken very seriously in actual production. Notably, among these isolated bacteria, B. cereus can cause milk spoilage, wound infections, and systemic diseases [13]. The capacity of Bacillus to generate biofilms and spores under adverse circumstances significantly reduces the disinfecting impact and introduces a notable level of resistance to the pasteurization procedures utilized in food processing. As a result, once food is contaminated by Bacillus, complete disinfection becomes arduous to achieve [14]. Tens of thousands of food poisoning incidents occur worldwide each year, and it is reported that 1.4–12% of them are caused by Bacillus cereus (the real number may be higher due to incomplete statistics) [15]. The European Food Safety Authority 2018 annual report shows that “bacterial toxins other than Clostridium botulinum” (including Bacillus cereus) typically account for 16–20% of food poisoning incidents, second only to salmonella and viruses [16]. B. cereus is one of the major microbial factors limiting the shelf life of pasteurized milk, with 30% of pasteurized milk samples from Poland reported to have detected Bacillus cereus, in addition to 37% from India and 27% from Chinese samples [17,18]. It was also reported that the isolation rate of B. cereus in domestic pasteurized milk was 41.23%, indicating that B. cereus contamination is a common problem in pasteurized dairy products [19]. In this study, the total detection rate of B. cereus was 6.16% (17/276), which is lower than the above study. The higher detection rate of Bacillus in pasteurized milk compared to our findings may be attributed to two potential factors. Firstly, the bulk mixing of milk from multiple sources could have contributed to the increased prevalence of Bacillus spores in the samples. Secondly, the resistance of Bacillus spores to the pasteurization process may have enabled their survival, leading to the higher detection rates observed in the pasteurized milk.
Over time, antimicrobial resistance in bacteria has become increasingly serious. The antimicrobial susceptibility test in our study showed that the isolated bacteria were resistant to eight of the nine antimicrobials to varying degrees. The highest rate of resistance to LIN (87.37%) and the lowest rate of resistance to DO (0%) were observed. Resistance rates to SD and STS also remained at high levels (more than or close to 50%). A report showed that bacteria isolated from raw milk in Henan Province (China) had 95.50% resistance to lincomycin, which is very close to our findings [20]. This study also found that the MDR of bacteria was a serious phenomenon, with MDR isolates accounting for 33.16% (63/190) of the total number of isolates, and most MDR isolates were resistant to three to four antimicrobials, accounting for 87.3% (55/63) of multidrug-resistant isolates. The most resistant MDR isolates were resistant to six antimicrobials simultaneously. However, our MDR detection rate is still relatively low compared to the 43.93% reported in Hubei, China, [21] and the 96.4% reported in Ethiopia [22]. Likewise, the level of antimicrobials in the environment of dairy farms in South China has been tested, and antimicrobial residues were found in manure, wastewater, and suspended particles [23]. As the isolated bacteria are usually highly resistant to LIN, SD, and STS, dairy farms in Shandong Province should minimize or avoid the use of these three antimicrobial agents and pay attention to the rotation and combination of antimicrobial agents to minimize the emergence of antimicrobial-resistant strains.
The prevalence of antimicrobial-resistant bacteria and antimicrobial resistance genes (ARGs) is a major public health concern for people worldwide, and an important factor in bacteria exhibiting antimicrobial resistance is that they carry an associated antimicrobial resistance gene. Happily, the feared NDM-1 resistance gene was not detected, and the detection rate of mcr-1 was very low. Our data showed that the detection rate of the sulfonamide resistance gene Sul1 was as high as 55.43%, followed by the aminoglycoside resistance gene ant(4′) (51.09%), the tetracycline resistance gene tet(M) (25.36%), the β-lactam resistance gene blaKPC (3.62%), the quinolone resistance gene qnrS (3.62%), the polymyxin resistance gene mcr-1 (0.72%) and the lincosamide resistance gene LnuB (0.72%); the β-lactam resistance gene NDM-1 and the aminoglycoside resistance gene Aph(2″) were not detected. Statistical analysis of the results revealed a positive trend of correlation between some resistance genes and resistance phenotypes, such as sulfonamides. However, it was also found that there was a discrepancy between antimicrobial resistance genes and antimicrobial resistance phenotypes; for example, the resistance rate of tetracycline was 0, but the detection rate of tet(M), a resistance gene of tetracyclines, was 25.36%. To seek an answer to this question, we reviewed the relevant literature and found that this may be because most acquired ARGs need to be overexpressed before conferring resistance, and this overexpression also needs to meet certain conditions [24]. Therefore, we thought that this inconsistency might be due to this reason. On the other hand, the average resistance rate of lincomycin was 87.37%, but the detection rate of LnuB was only 0.72%, which may be due to the presence of other types of resistance genes leading to the expression of resistance, such as LnuC, LnuG, and LnuH [25,26,27].

5. Conclusions

This study reported that post-milking teat cup liners from dairy farms in Shandong Province had a high bacterial isolation rate (>50%) and an abundance of bacterial species. The presence of B. cereus, which can cause milk spoilage and food poisoning, a situation that poses a potential threat to food safety and public health, was also detected. The overall antimicrobial resistance profile had an alarming average resistance rate of 87.37% for lincomycin and over 50% for sulfonamides, with most isolates being insusceptible to multiple antimicrobials. Nine antimicrobial resistance genes were examined, and the highest detection rate of 55.43% was found for the sulfa resistance gene Sul1. In addition, the polymyxin resistance gene mcr-1 was isolated from bacteria in the cup liner for the first time. These results have a reference value for the clinical use of antimicrobials in dairy farms in Shandong Province and provide valuable information on the potential transmission of antimicrobial resistance genes through the food chain.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani14152167/s1, Table S1: PCR primers used in the study [28,29,30,31,32].

Author Contributions

Conceptualization, J.L. and Y.L.; methodology, G.Y.; software, G.Y.; validation, G.Y. and S.W.; formal analysis, S.W.; investigation, Y.C.; resources, J.L.; data curation, G.Y.; writing—original draft preparation, G.Y.; writing—review and editing, G.Y. and Y.L.; visualization, K.X.; supervision, J.L. and Y.L.; project administration, J.L.; funding acquisition, J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This project was supported by the National Nature Science Foundation of Shandong (No. ZR2021MH089).

Institutional Review Board Statement

Written informed consent has been obtained from the owner of the animals involved in this study.

Informed Consent Statement

To ensure compliance with ethical standards, informed consent was obtained from the dairy farms involved in this study. Applicable guidelines and regulations were followed to ensure that the participants were fully informed about the study’s purpose, procedures, and potential implications. The consent process emphasized voluntary participation and the right to withdraw at any time. Confidentiality and data handling procedures were also explained.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

We thank all participating dairy farms for their assistance during the sampling period.

Conflicts of Interest

Shengnan Wang, co-author of the article, is affiliated with Shandong Agricultural University and The ShangHai Hanvet Bio-Pharm Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Figure 1. Source of samples and approximate isolation of bacteria. (A) Distribution map of 248 samples collected in Shandong Province, with 128 samples collected in TA, 60 samples collected in DY, and 60 samples collected in QD. (B) Approximate isolation of bacteria in Shandong. Bacillus licheniformis (39/276, 14.13%) was the most frequently isolated, followed by Bacillus pumilus (20/276, 7.25%), Bacillus cereus (17/276, 6.16%) and Bacillus subtilis (16/276, 5.78%). Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao.
Figure 1. Source of samples and approximate isolation of bacteria. (A) Distribution map of 248 samples collected in Shandong Province, with 128 samples collected in TA, 60 samples collected in DY, and 60 samples collected in QD. (B) Approximate isolation of bacteria in Shandong. Bacillus licheniformis (39/276, 14.13%) was the most frequently isolated, followed by Bacillus pumilus (20/276, 7.25%), Bacillus cereus (17/276, 6.16%) and Bacillus subtilis (16/276, 5.78%). Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao.
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Figure 2. Bacteria isolated from teat cup liners in Shandong. (A) Distribution of isolates at the phylum level. The largest proportion in both TA and DY regions was Firmicutes, and the largest proportion in QD region was Actinobacteria. (B) Distribution of isolates at the phylum level. Specifically for each farm, the largest proportion of QD1 was Actinobacteria and the largest proportion of all other farms was Firmicutes. (C) Distribution of isolates at the species level. The largest number of isolates in TA were Bacillus licheniformis, Bacillus cereus, and Bacillus pumilus; the largest number of isolates in DY were Bacillus licheniformis, Bacillus amyloliquefaciens ssp plantarum, Staphylococcus haemolyticus; the largest number of isolates in QD were Staphylococcus chromogenes, Kocuria palustris, and Glutamicibacter arilait plantarum. (D) Distribution of isolates at the species level. Specifically for each farm, the highest amount of isolates was Bacillus cereus in TA1, Rothia endophytica in TA2, Bacillus licheniformis in both DY1 and DY2, Kocuria palustris in QD1, and Staphylococcus chromogenes in QD2. Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao; TA1, Taian’s first sampling farm; TA2, the second sampling farm in Tai’an; DY1, Dongying’s first sampling farm; DY2, the second sampling farm in Dongying; QD1, Qingdao’s first sampling farm; QD2, the second sampling farm in Qingdao.
Figure 2. Bacteria isolated from teat cup liners in Shandong. (A) Distribution of isolates at the phylum level. The largest proportion in both TA and DY regions was Firmicutes, and the largest proportion in QD region was Actinobacteria. (B) Distribution of isolates at the phylum level. Specifically for each farm, the largest proportion of QD1 was Actinobacteria and the largest proportion of all other farms was Firmicutes. (C) Distribution of isolates at the species level. The largest number of isolates in TA were Bacillus licheniformis, Bacillus cereus, and Bacillus pumilus; the largest number of isolates in DY were Bacillus licheniformis, Bacillus amyloliquefaciens ssp plantarum, Staphylococcus haemolyticus; the largest number of isolates in QD were Staphylococcus chromogenes, Kocuria palustris, and Glutamicibacter arilait plantarum. (D) Distribution of isolates at the species level. Specifically for each farm, the highest amount of isolates was Bacillus cereus in TA1, Rothia endophytica in TA2, Bacillus licheniformis in both DY1 and DY2, Kocuria palustris in QD1, and Staphylococcus chromogenes in QD2. Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao; TA1, Taian’s first sampling farm; TA2, the second sampling farm in Tai’an; DY1, Dongying’s first sampling farm; DY2, the second sampling farm in Dongying; QD1, Qingdao’s first sampling farm; QD2, the second sampling farm in Qingdao.
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Figure 3. Differences between bacteria isolated from different sample sources. (A) Differences between bacteria isolated in the three cities. An amount of 42 species of bacteria were most abundantly isolated in TA, followed by 31 species in QD and 29 species in DY. Among them, 25 species of bacteria were independently detected in TA, 15 species in QD, and 12 species in DY, and eight species of the same bacteria were isolated in the three areas. (B) Differences among bacteria isolated from the six farms. TA2 and QD1 had the most species of bacteria independently, 18 and 11 species, respectively, and only one species of bacteria common to the six farms was Bacillus licheniformis. Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao; TA1, Taian’s first sampling farm; TA2, the second sampling farm in Tai’an; DY1, Dongying’s first sampling farm; DY2, the second sampling farm in Dongying; QD1, Qingdao’s first sampling farm; QD2, the second sampling farm in Qingdao.
Figure 3. Differences between bacteria isolated from different sample sources. (A) Differences between bacteria isolated in the three cities. An amount of 42 species of bacteria were most abundantly isolated in TA, followed by 31 species in QD and 29 species in DY. Among them, 25 species of bacteria were independently detected in TA, 15 species in QD, and 12 species in DY, and eight species of the same bacteria were isolated in the three areas. (B) Differences among bacteria isolated from the six farms. TA2 and QD1 had the most species of bacteria independently, 18 and 11 species, respectively, and only one species of bacteria common to the six farms was Bacillus licheniformis. Abbreviations: TA, Tai’an; DY, Dongying; QD, Qingdao; TA1, Taian’s first sampling farm; TA2, the second sampling farm in Tai’an; DY1, Dongying’s first sampling farm; DY2, the second sampling farm in Dongying; QD1, Qingdao’s first sampling farm; QD2, the second sampling farm in Qingdao.
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Figure 4. Antimicrobial resistance of the isolates. (A) Susceptibility of various bacteria to different antimicrobials. The antimicrobial resistance rates were analyzed for isolates with ≥5 isolates (16 species, 190 isolates). The susceptibility of different isolates to nine antimicrobials varied, with the mean resistance rate of LIN being 87.37% (166/190), SD 61.05% (116/190), STS 42.63% (81/190), and the DO being 0%. (B) Multidrug resistance of bacteria. Three-drug resistance was the most common among MDR isolates at 22.63% (43/190), most MDR isolates were resistant to three–four antimicrobials, accounting for 87.3% (55/63) of MDR isolates, and the most resistant MDR isolates were resistant to six antimicrobials at the same time.
Figure 4. Antimicrobial resistance of the isolates. (A) Susceptibility of various bacteria to different antimicrobials. The antimicrobial resistance rates were analyzed for isolates with ≥5 isolates (16 species, 190 isolates). The susceptibility of different isolates to nine antimicrobials varied, with the mean resistance rate of LIN being 87.37% (166/190), SD 61.05% (116/190), STS 42.63% (81/190), and the DO being 0%. (B) Multidrug resistance of bacteria. Three-drug resistance was the most common among MDR isolates at 22.63% (43/190), most MDR isolates were resistant to three–four antimicrobials, accounting for 87.3% (55/63) of MDR isolates, and the most resistant MDR isolates were resistant to six antimicrobials at the same time.
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Figure 5. Antimicrobial resistance gene testing. Nine antimicrobial resistance genes were tested in 276 bacterial isolates, and a total of seven of these antimicrobial resistance genes were identified. The highest positive rate was for Sul1 (55.43%), the lowest was for mcr-1 and LnuB (Both are 0.72%), and the resistance genes NDM-1 and aph(2″) were not detected.
Figure 5. Antimicrobial resistance gene testing. Nine antimicrobial resistance genes were tested in 276 bacterial isolates, and a total of seven of these antimicrobial resistance genes were identified. The highest positive rate was for Sul1 (55.43%), the lowest was for mcr-1 and LnuB (Both are 0.72%), and the resistance genes NDM-1 and aph(2″) were not detected.
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Table 1. Percentage of samples positive for bacterial isolation (number of tests/total number).
Table 1. Percentage of samples positive for bacterial isolation (number of tests/total number).
RegionFarm 1Farm 2Total
Tai’an39.47% (30/76)63.46% (33/52)49.22% (63/128)
Dongying63.33% (19/30)73.33% (22/30)68.33% (41/60)
Qingdao100% (30/30)63.33% (19/30)81.67% (49/60)
Total--61.69% (153/248)
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MDPI and ACS Style

Yan, G.; Wang, S.; Cui, Y.; Xue, K.; Liu, Y.; Liu, J. Bacterial Diversity and Antimicrobial Resistance of Microorganisms Isolated from Teat Cup Liners in Dairy Farms in Shandong Province, China. Animals 2024, 14, 2167. https://doi.org/10.3390/ani14152167

AMA Style

Yan G, Wang S, Cui Y, Xue K, Liu Y, Liu J. Bacterial Diversity and Antimicrobial Resistance of Microorganisms Isolated from Teat Cup Liners in Dairy Farms in Shandong Province, China. Animals. 2024; 14(15):2167. https://doi.org/10.3390/ani14152167

Chicago/Turabian Style

Yan, Guangwei, Shengnan Wang, Yuehui Cui, Kun Xue, Yongxia Liu, and Jianzhu Liu. 2024. "Bacterial Diversity and Antimicrobial Resistance of Microorganisms Isolated from Teat Cup Liners in Dairy Farms in Shandong Province, China" Animals 14, no. 15: 2167. https://doi.org/10.3390/ani14152167

APA Style

Yan, G., Wang, S., Cui, Y., Xue, K., Liu, Y., & Liu, J. (2024). Bacterial Diversity and Antimicrobial Resistance of Microorganisms Isolated from Teat Cup Liners in Dairy Farms in Shandong Province, China. Animals, 14(15), 2167. https://doi.org/10.3390/ani14152167

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