Literature DB >> 27570806

Data on the phylogenetic typing, integron gene cassette array analysis, multi-drug resistance analysis and correlation between antimicrobial resistance determinants in Klebsiella strains.

Hao Wu1, Mingyu Wang1, Yuqing Liu2, Xinhua Wang3, Yunkun Wang3, Jinxing Lu4, Hai Xu1.   

Abstract

The antimicrobial resistance of Klebsiella species in the poultry industry is becoming a public concern. In support our recent publication "Characterization of antimicrobial resistance in Klebsiella species isolated from chicken broilers" (Wu et al., 2016) [1], multilocus sequence typing (MLST) and gyrA PCR-RFLP assays were conducted to identify the genetic relationships between and phylogenetic groups of the 90 antimicrobial resistant Klebsiella species isolated from a commercial broiler slaughter plant in Shandong, China. In addition, PCR-RFLP was performed to identify different gene cassette arrays in class 1 and 2 integrons, and the correlations between different antimicrobial resistance determinants were analyzed.

Entities:  

Keywords:  Antimicrobial resistant Klebsiella species; Gene cassette arrays of integron; Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP); Statistical analysis

Year:  2016        PMID: 27570806      PMCID: PMC4990640          DOI: 10.1016/j.dib.2016.07.016

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The gyrA PCR-RFLP assay and MLST analysis in the Klebsiella isolates indicate the relationship of epidemiology of drug resistant bacteria in between clinical and poultry industry. The PCR-PFLP by EcoRII can be applied as a tool for detection of gene cassette arrays of integron 1 or 2. The statistical data and finding of a significant association of antimicrobial resistance determinants can be used as references for the investigation of other drug resistant bacteria.

Data

MLST was performed using seven housekeeping genes (rpoB, gapA, mdh, pgi, phoE, infB, and tonB), and primers of those genes for PCR amplification and sequencing were designed (Table 1) [2]. gyrA PCR-RFLP profiles showed nearly all (89/90) of the isolates were identified as KpI-type and only one isolate was KpIII (Fig. 1). Antimicrobial susceptibility to nine antimicrobial agents was tested for the 90 Klebsiella isolates [1]. Among the isolates, 96.7% of them were resistant to more than three tested antimicrobial agents as well as 91.1% were resistant to more than three beta-lactam antibiotics (Fig. 2). A significant association between different antimicrobial resistance determinants was analyzed (Table 2). PCR-PFLP patterns of gene cassette arrays for integron 1 or 2 were performed (Fig. 3), and the detailed description was in the original article [1].
Table 1

Primers used in the MLST analysis of Klebsiella isolates.

LocusPutative function of genePrimer sequence (5′–3′)aNo. of allelesAmplicon size (bp)Melting temp (°C)
rpoBBeta-subunit of RNA polymerase BVIC3GGCGAA ATGGCWGAGAACCA450151
VIC2GAGTCTTCGAAGTTGTAACC
gapAGlyceraldehyde 3-phosphate dehydrogenasegapA173TGAAATATGACTCCACTCACGG545060
gapA181CTTCAGAAGCGGCTTTGATGGCTT
mdhMalate dehydrogenasemdh130CCCAACTCGCTTCAGGTTCAG447750
mdh867CCGTTTTTCCCCAGCAGCAG
pgiPhosphoglucose isomerasepgi1FGAGAAAAACCTGCCTGTACTGCTGGC543250
pgi1RCGCGCCACGCTTTATAGCGGTTAAT
pgi2FCTGCTGGCGCTGATCGGCAT
pgi2RTTATAGCGGTTAATCAGGCCGT
phoEPhosphoporine EphoE604.1ACCTACCGCAACACCGACTTCTTCGG942050
phoE604.2TGATCAGAACTGGTAGGTGAT
infBTranslation initiation factor 2infB1FCTCGCTGCTGGACTATATTCG631850
infB1RCGCTTTCAGCTCAAGAACTTC
infB2FACTAAGGTTGCCTCCGGCGAAGC
tonBPeriplasmic energy transducertonB1FCTTTATACCTCGGTACATCAGGTT1741450
tonB2RATTCGCCGGCTGRGCRGAGAG

sequencing primers were the same as the PCR primers for rpoB, gapA, mdh, phoE, and tonB, while pgi2F/ 2R and infB2F/1R were the sequencing primers for pgi and infB, respectively.

Fig. 1

PCR-RFLP profiles of the gyrA gene identified in the 90 Klebsiella isolates using HincII, TaqI, and HaeIII. Lane 1, 3, 5, 7 for KpI (89 isolates) and lanes 2, 4, 6, 8 for KpIII (one isolate). Lanes 1 and 2, the 441-bp PCR product of the gyrA gene. Lanes 3 and 4, HincII restriction profiles (298- and 143-bp fragments). Lanes 5 and 6, TaqI restriction profiles (197-, 142-, and 93-bp fragments). Lane 7, HaeIII restriction profile (175-, 129-, 92-, and 45-bp fragments). Lane 8, HaeIII restriction profile (175-, 174-, and 92-bp fragments). M, molecular size marker.

Fig. 2

Antimicrobial resistance to different antibiotics of 90 Klebsiella isolates. (a) The percentage of tested strains resistant to different numbers of antibiotics. (b) The percentage of tested strains resistant to different beta-lactam antibiotic groups. CAZ, ceftazidime; CFP, cefoperazone; CTX, cefotaxime; CPE, cefepime; AMP, ampicillin; KAN, kanamycin; CHL, chloramphenicol; TET, tetracycline; CIP, ciprofloxacin.

Table 2

The correlation between different antimicrobial resistance determinants.

Antimicrobial resistant Klebsiella isolatesStrain(s) containing antimicrobial resistance determinantsp-value
90Both PMQR and ESBLPMQRESBL
77190.0001
Both ESBL and Integron 1ESBLIntegron 1
761010.0003
Both PMQR and Integron 1PMQRIntegron 1
71760.0001
Transconjugants from antimicrobial resistant Klebsiella isolatesBoth PMQR and Integron 1PMQRIntegron 1
864314130.0045

ESBL, extended-spectrum beta-lactamase gene; PMQR, plasmid-mediated quinolone resistance gene; integrons 1, class 1 integron.

Fig. 3

PCR-PFLP patterns of gene cassette arrays in identified integrons. Panel A, products of the PCR amplification of the variable regions of integrons. Panel B, EcoRII-digested restriction fragment length polymorphism patterns. Lanes 1–4 are type 1 integrons with the following gene cassettes: dfrA17–aadA5, dfrA12–orfF–aadA2, and dfrA1–aadA1, and empty, respectively. Lane 5 is a type 2 integron with a dfrA1–sat2–aadA1 gene cassette. M, molecular size marker.

Experimental design, materials and methods

PCR Program

PCRs were prepared as follows: a final volume of 25 μl containing 1 μM of each primer, 0.2 mM dNTPs, 1.5 mM MgCl2, and 1 unit of Taq polymerase (TransGen Biotech, Beijing, China). The conditions used for amplification were as described by the original article [1].

Primers designed for the MLST analysis of Klebsiella isolates

The primer pairs for seven housekeeping genes (rpoB, gapA, mdh, pgi, phoE, infB, and tonB) were designed for PCR amplification and sequencing (Table 1), as described previously [2].

Molecular identification by PCR-RFLP analysis of the gyrA gene

gyrA PCR-RFLP patterns were obtained by the restriction analysis of a 441-bp PCR fragment of the gyrA gene using the restriction enzymes HincII, TaqI, or HaeIII (Fig. 1) [3], [4]. According to this approach, Klebsiella strains can be classified into the KpI, KpII, and KpIII phylogenetic groups.

Statistics analysis

According to the prevalence of antimicrobial resistance genes among 90 Klebsiella isolates [1], the number of antimicrobial resistance strains (Fig. 2a) and the percentage of tested strains resistant to different numbers of beta-lactam antibiotic groups were analyzed (Fig. 2b). Also the statistical analysis of the correlation between different antimicrobial resistance determinants was performed by chi-square tests using SPSS (SPSS 19.0 for Windows; SPSS Inc., Chicago, IL, USA), and a p-value <0.05 was considered to be statistically significant (Table 2).

Identification of integron gene cassette arrays

The gene cassette arrays of class 1 and 2 integrons were analyzed (Fig. 3) by a PCR-RFLP method as described previously [5].
Subject areaMicrobiology
More specific subject areaFood safety, antibiotic resistance
Type of dataTable, figure
How data was acquiredPCR, sequencing and statistical analysis
Data formatAnalyzed
Experimental factorsPolymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), chi-square tests using SPSS
Experimental featuresIdentification of phylogenetic groups and different gene cassette arrays in class 1 and 2 integrons of Klebsiella species, analysis of the correlations between different antimicrobial resistance determinants
Data source locationJinan, Shandong province of China.
Data accessibilityThe data is available with this article
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