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Chen Y, Wang Z, Shi Q, Huang S, Yu T, Zhang L, Yang H. Multiplex PCR method for simultaneous detection of five pathogenic bacteria closely related to foodborne diseases. 3 Biotech 2021; 11:219. [PMID: 33968564 DOI: 10.1007/s13205-021-02759-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 03/27/2021] [Indexed: 11/27/2022] Open
Abstract
In this study, we describe a multiplex PCR method for the detection of five food-relevant virulence pathogenicity genes of intestinal pathogens. Five pairs of primers were designed based on nuc gene for Staphylococcus aureus, hlyA gene of Listeria monocytogenes, ipaH gene of Shigella flexneri, lysP gene of Yersinia enterocolitica and tpi gene of Clostridium difficile. Conditions were optimized to amplify fragments of those genes simultaneously in one PCR amplification. After developing and optimizing the multiplex PCR reaction system, the specificity and sensitivity of the multiple PCR assays were evaluated. The optimized program is also applied to retail meat for testing. The result indicated that when the annealing temperature was 54 °C and the primer concentrations of S. aureus, L. monocytogenes, S. flexneri, Y. enterocolitica and C. difficile are 10, 10, 5, 3 and 2 μM, the five strains could expand 484, 345, 204, 156, 88 bp of clear fragments, respectively. So was the multiple PCR in artificially contaminated beef produce. All cultures were cultured and separated by traditional methods. The multiplex PCR method offers a rapid, simple, and accurate identification of pathogens and could be used in food safety investigations, clinical diagnosis as well as for the surveillance of the spreading determinants of pathogens in epidemiological studies.
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Affiliation(s)
- Ying Chen
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
| | - Zixuan Wang
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
| | - Qiaozhen Shi
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
| | - Shengxiong Huang
- School of Food and Biological Engineering, Hefei University of Technology, Hefei, 230009 China
| | - Taotao Yu
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
| | - Linyan Zhang
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
| | - Huan Yang
- School of Medical Technology, Xuzhou Medical University, No. 209 Tongshan Road, Yunlong District, Xuzhou, 221004 China
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Prevalence and antimicrobial-resistance phenotypes and genotypes of Escherichia coli isolated from raw milk samples from mastitis cases in four regions of China. J Glob Antimicrob Resist 2019; 22:94-101. [PMID: 31887413 DOI: 10.1016/j.jgar.2019.12.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 12/18/2019] [Accepted: 12/20/2019] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES The objective was to find the differences in the prevalence and resistance of Escherischia coli isolated from raw milk samples from mastitis cases in four regions of China. METHODS A total of 750 bovine raw milk samples from mastitis cases were collected from four regions of China over two seasons. Antimicrobial resistance against 29 antimicrobial agents was determined, and 27 drug-resistant genes were tested. RESULTS Eighty-three strains (11.1%) of E. coli were isolated and identified. No significant differences in the number of E. coli isolates were observed between the two sampling seasons in the same regions (P>0.05). However, a significant difference in E. coli prevalence was found among the four different regions (P<0.01). The isolates were most frequently resistant to penicillin (100%), acetylspiramycin (100%), lincomycin (98.8%), oxacillin (98.8%) and sulphamethoxazole (53%). All the E. coli strains were multiresistant to at least three antimicrobial classes, and the most frequent multidrug-resistance patterns for the isolates were resistant to three (36.1%) or four (39.8%) classes of drugs simultaneously. The blaTEM gene (n=69; 83.1%) was the most frequently detected resistance gene. The most frequent gene combinations were a four-gene pattern of blaCTX-M-sulII-blaTEM-sulI (n=13; 15.7%) and a three-gene pattern of blaCTX-M-aph (3)-II-blaTEM (n=11; 13.3%). CONCLUSIONS This study indicated that there is a high incidence of E. coli with a great variation in resistance patterns and resistance genes; this is a matter of great concern for public and animal health in China.
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Cho GS, Li B, Rostalsky A, Fiedler G, Rösch N, Igbinosa E, Kabisch J, Bockelmann W, Hammer P, Huys G, Franz CMAP. Diversity and Antibiotic Susceptibility of Acinetobacter Strains From Milk Powder Produced in Germany. Front Microbiol 2018; 9:536. [PMID: 29636733 PMCID: PMC5880893 DOI: 10.3389/fmicb.2018.00536] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 03/08/2018] [Indexed: 12/23/2022] Open
Abstract
Forty-seven Acinetobacter spp. isolates from milk powder obtained from a powdered milk producer in Germany were investigated for their antibiotic resistance susceptibilities, in order to assess whether strains from food harbor multiple antibiotic resistances and whether the food route is important for dissemination of resistance genes. The strains were identified by 16S rRNA and rpoB gene sequencing, as well as by whole genome sequencing of selected isolates and their in silico DNA-DNA hybridization (DDH). Furthermore, they were genotyped by rep-PCR together with reference strains of pan-European groups I, II, and III strains of Acinetobacter baumannii. Of the 47 strains, 42 were identified as A. baumannii, 4 as Acinetobacter Pittii, and 1 as Acinetobacter calcoaceticus based on 16S rRNA gene sequencing. In silico DDH with the genome sequence data of selected strains and rpoB gene sequencing data suggested that the five non-A. baumannii strains all belonged to A. pittii, suggesting that the rpoB gene is more reliable than the 16S rRNA gene for species level identification in this genus. Rep-PCR genotyping of the A. baumannii strains showed that these could be grouped into four groups, and that some strains clustered together with reference strains of pan-European clinical group II and III strains. All strains in this study were intrinsically resistant toward chloramphenicol and oxacillin, but susceptible toward tetracycline, tobramycin, erythromycin, and ciprofloxacin. For cefotaxime, 43 strains (91.5%) were intermediate and 3 strains (6.4%) resistant, while 3 (6.4%) and 21 (44.7%) strains exhibited resistance to cefepime and streptomycin, respectively. Forty-six (97.9%) strains were susceptible to amikacin and ampicillin-sulbactam. Therefore, the strains in this study were generally not resistant to the clinically relevant antibiotics, especially tobramycin, ciprofloxacin, cefepime, and meropenem, suggesting that the food route probably poses only a low risk for multidrug resistant Acinetobacter strains or resistance genes.
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Affiliation(s)
- Gyu-Sung Cho
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Bo Li
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - André Rostalsky
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Gregor Fiedler
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Niels Rösch
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Etinosa Igbinosa
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany.,Department of Microbiology, Faculty of Life Science, University of Benin, Benin City, Nigeria
| | - Jan Kabisch
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Wilhelm Bockelmann
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
| | - Philipp Hammer
- Department of Safety and Quality of Milk and Fish, Max Rubner-Institut, Kiel, Germany
| | - Geert Huys
- Laboratory of Microbiology, Ghent University, Ghent, Belgium
| | - Charles M A P Franz
- Department of Microbiology and Biotechnology, Max Rubner-Institut, Kiel, Germany
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Detection of selected antibiotic resistance genes using multiplex PCR assay in mastitis pathogens in the Czech Republic. ACTA VET BRNO 2017. [DOI: 10.2754/avb201786020167] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The aim of this research was to develop multiplex polymerase chain reaction assays for the detection of aminoglycoside (strA, strB), sulphonamide (sulI, sulII), tetracycline (tetA, tetB, tetK, tetM, tetO), macrolide and lincosamide (msrA, ermA, ermB, ermC, mefA/E) genes of resistance in mastitis pathogens (Escherichia coli, Staphylococcus aureus, Streptococcus uberis, Streptococcus agalactiae and Streptococcus dysgalactiae). Applying the established assays, we investigated the distribution of antibiotic resistance genes in the above mentioned species isolated from milk samples in the Czech Republic. Each assay consisted of seven pairs of primers. Six of them amplified fragments of antibiotic resistance genes and one pair a fragment of a species specific gene. Polymerase chain reaction conditions were optimized to amplify seven gene fragments simultaneously in one reaction. In total, 249 isolates were used, among which 111 were positive for E. coli, 52 for S. aureus and 86 for Streptococcus spp. The majority (60.2%) of bacteria carried at least one antibiotic resistance gene and 44.6% were multidrug-resistant. The designed multiplex polymerase chain reaction assays may be applied as diagnostic method to replace or complement standard techniques of antibiotic susceptibility testing in the mentioned pathogens.
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