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. 2011 Aug;55(8):3936–3938. doi: 10.1128/AAC.01509-10

blaKPC RNA Expression Correlates with Two Transcriptional Start Sites but Not Always with Gene Copy Number in Four Genera of Gram-Negative Pathogens

Amanda L Roth 1, Philip M Kurpiel 1, Philip D Lister 1, Nancy D Hanson 1,*
PMCID: PMC3147627  PMID: 21576436

Abstract

Klebsiella pneumoniae carbapenemase (KPC)-producing organisms are therapeutically and diagnostically challenging. It is possible that blaKPC gene expression plays a role in the variability observed in clinical susceptibility testing. blaKPC transformants together with 10 clinical isolates representing four genera were evaluated for blaKPC copy number and gene expression and correlated with β-lactam MIC data. The data suggest that mechanisms other than gene copy number and expression of blaKPC contribute to variability in susceptibility when testing KPC-producing isolates.

TEXT

Infections with organisms that produce the Klebsiella pneumoniae carbapenemase (KPC) are associated with therapeutic failure and high mortality rates. Complicating patient treatment is the inability to accurately detect KPC producers in the clinical laboratory using the guidelines suggested for susceptibility testing. Little is known about the role gene expression plays in KPC-mediated resistance or how the level of expression may affect susceptibility testing. Hydrolysis of carbapenems by KPCs has been demonstrated in vitro (1, 21, 22); however, multiple studies have reported variability in susceptibility testing of KPC-producing clinical isolates (2, 3, 13, 22). Although variation in KPC enzyme production could contribute to the variability seen during susceptibility testing, it is difficult to assess the influence of the KPC β-lactamase on susceptibility testing using clinical isolates which may harbor multiple β-lactamases and may have alterations in outer membrane proteins (4, 7, 9, 10, 21, 24). Therefore, we used cloning and transformation to create a panel of four different genera of Gram-negative bacteria that expressed the blaKPC gene without the influence of other resistance mechanisms. We evaluated the relationship between blaKPC gene expression and copy number with β-lactam MICs among the transformants and compared blaKPC gene expression and copy numbers among clinical isolates known to carry blaKPC.

To construct transformants expressing blaKPC, a 1,314-bp fragment including the blaKPC-2 structural gene and 363 bp of the adjacent upstream region was amplified by PCR and sequenced. The blaKPC-2 product was cloned into pCR2.1 (Invitrogen) and subcloned into the broad host vector pMP220 (20). Escherichia coli K-12 259, K. pneumoniae 23, Enterobacter cloacae ATCC 13047, and Pseudomonas aeruginosa PAO1 were transformed with pMP220-KPC-2 by electroporation (22). In addition, 10 KPC-producing clinical isolates were evaluated, including two isolates of E. coli (233 and 236), four isolates of K. pneumoniae (UMM3, V110984, HUH6, and HUH40), one Enterobacter sp. isolate (01MGH049), and three isolates of P. aeruginosa (PS5, PS17B, and PS28) (Table 1).

Table 1.

Comparisons of blaKPC copy numbers, RNA expression, and β-lactam susceptibilities among transformants and clinical isolatesa

Strainc KPC isoenzyme Isoelectric focusing pI(s) β-Lactam MIC (μg/ml)b
blaKPC copy no. blaKPC RNA fold changed
IPM ERT FEP CAZ CRO
E. cloacae None ND 0.12 0.06 0.06 1 4 NA NA
    E. cloacae pMP220-KPC-2 KPC-2 ND 2 2 4 16 32 2 1
    01MGH049 KPC-2 5.4, 6.9, 9.2 4 8 8 16 512 1 1
K. pneumoniae None ND 0.12 0.007 0.06 0.06 0.007 NA NA
    K. pneumoniae pMP220-KPC-2 KPC-2 ND 8 4 4 4 32 26 1
    UMM3 KPC-2 5.4, 6.7 2 4 8 16 32 1 8 ↓
    V110984 KPC-2 5.4, 6.9, 7.6, 8.2 1 8 8 512 64 2 3 ↓
    HUH6 KPC-3 5.4, 6.9, 7.6, 8.2 0.5 4 8 256 64 1 10 ↓
    HUH40 KPC-3 5.4, 6.9, 7.6, 8.2 0.5 4 16 512 128 5 5 ↓
E. coli None ND 0.12 0.007 0.03 0.12 0.015 NA NA
    E. coli pMP220-KPC-2 KPC-2 ND 8 4 8 16 64 13 1
    233 KPC-3 5.4, 6.7, 7.6 8 8 32 256 512 1 2 ↓
    236 KPC-3 5.4, 6.7, 6.9, 7.4 4 2 8 32 512 2 2 ↓
P. aeruginosa None ND 2 16 1 1 32 NA NA
    P. aeruginosa pMP220-KPC-2 KPC-2 ND 32 >512 >512 64 >512 9 1
    PS5 KPC-2 6.7, ≥8.5 512 >512 256 64 >512 2 1
    PS17B KPC-2 6.7, ≥8.5 256 >512 256 64 >512 1 1
    PS28 KPC-5 7.65, ≥8.5 128 256 128 256 >512 1 3 ↓
a

ND, not determined; NA, not applicable.

b

IPM, imipenem; ERT, ertapenem; FEP, cefepime; CAZ, ceftazidime; CRO, ceftriaxone.

c

Strains: E. coli (K-12 259), K. pneumoniae (KP23), E. cloacae (ATCC 13047), P. aeruginosa (PAO1).

d

Numbers next to arrows indicate a fold decrease in RNA expression of the clinical isolate compared to its genus-specific pMP220-KPC-2 transformant.

Isoelectric focusing revealed that these clinical isolates produced multiple β-lactamases, which included enzymes with pIs equivalent to those of OXA, SHV-5, SHV-2, and TEM-1 in addition to KPC (22). Antimicrobial susceptibility testing was performed using agar dilution and interpreted using 2010 CLSI breakpoints (5, 6). The impact of KPC production on susceptibility varied with respect to the drug and transformant analyzed (Table 1). When K. pneumoniae pMP220-KPC-2 is evaluated, the ceftazidime and cefepime MICs are interpreted to be in the susceptible range (5) using 2010 CLSI breakpoints. These data underscore the potential difficulty in detecting KPC-producing K. pneumoniae using phenotypic methodologies. As expected, β-lactam MICs varied among the clinical isolates.

Prior to evaluating blaKPC gene expression, relative blaKPC copy number was determined (19). For the KPC-2 transformants, the copy number of the gene varied among the different genetic backgrounds despite the use of the same shuttle vector, pMP220. The copy numbers for blaKPC in the transformants ranged from 2 to 26 (Table 1). Nine of 10 clinical isolates had one or two copies of blaKPC, with the exception of K. pneumoniae HUH40, which had five copies of blaKPC.

Increases in gene copy number have been correlated with increases in β-lactamase gene expression and increases in β-lactam MICs (15). To determine whether blaKPC copy number correlated with blaKPC gene expression, the relative expression of each blaKPC transcript was evaluated for the clinical isolates and compared to the expression observed for the KPC-2 transformants using real-time reverse transcription (RT)-PCR (12, 15, 18). The clinical isolates of E. coli and P. aeruginosa and three K. pneumoniae isolates (UMM3, V110984, and HUH6) all had blaKPC-2 expression levels lower than their respective KPC-2 transformants. Surprisingly, a 1:1 ratio between copy number and blaKPC expression was not observed except for the E. cloacae KPC-2 transformant and 01MGH049 and the K. pneumoniae KPC-2 transformant and HUH40 (Table 1).

Due to the discrepancies between gene copy numbers and expression, it was possible that the entire promoter responsible for blaKPC expression was not present in the transformants. Therefore, to map the blaKPC promoter region, the start sites of transcription were determined for nine of the clinical isolates and compared to the start sites for the KPC-2 transformants using 5′ RACE (rapid amplification of cDNA ends) (22). These data revealed that the transcriptional start sites for the four transformants and eight of the clinical isolates were identical, indicating that the entire blaKPC promoter was present in each transformant. The primary start site identified for all of the transformants and eight of the clinical isolates was an adenine residue 286 bp upstream of the translational start codon (Fig. 1). This start site did not correspond to the previously mapped start site observed by Yigit et al. or the start sites predicted by Gootz et al. (8, 23). The data presented here mapped the putative −10 and −35 promoter elements as TATCTT and TTGACA, respectively, separated by a 19-bp spacer, which correlated with σ70 consensus promoter elements found for E. coli (11, 14). A second start site not previously identified was mapped to a thymine residue 140 bp upstream of the translational start codon with putative −10 and −35 promoter elements of TACCAA and TGGAC. A 68-bp deletion in the upstream region of K. pneumoniae V110984 resulted in a start site of transcription with putative −10 and −35 elements that are less than consensus to those for σ70 of E. coli. Only one start site was observed for blaKPC-5, which suggests a different type of transcriptional regulation (22). Taken together, these data demonstrate the level of complexity by which blaKPC is regulated and could represent a means of differential expression under different selective pressures.

Fig. 1.

Fig. 1.

Genetic organization of the blaKPC-2 and blaKPC-3 upstream region and mapping of the transcriptional start sites. The nucleotides immediately upstream of the blaKPC-2 and blaKPC-3 translational start codon are shown. The putative −10 and −35 promoter elements are shown in boldface capital letters and labeled. The primary start site of transcription is an adenine residue (capitalized, in boldface). The 68 nucleotides that are deleted in K. pneumoniae strain V110984 are underlined. The putative ribosomal binding site is underlined and italicized. The structural gene sequence of blaKPC is capitalized and italicized. The figure is not drawn to scale.

This study demonstrated the contribution of KPC-2 to β-lactam susceptibility in four different genera. The gene copy numbers or blaKPC expression levels evaluated in the absence of selective pressure could not explain the variation in susceptibility patterns in the KPC-2 transformants or clinical isolates. These data suggest that additional mechanisms aside from gene expression and copy number contribute to the variability in susceptibility when testing KPC-producing isolates. Typical experimental approaches to understand the underlying mechanisms associated with these organisms have been unsuccessful. Therefore, determining the mechanisms involved in the regulation of KPC production will be critical if we are to impact the clinical needs of patients infected by KPC-producing pathogens. It is imperative that we continue to evaluate the complexity of this resistance mechanism in order to circumvent its spread to susceptible patient populations.

(This work was presented in part previously at the 49th [16] and 50th [17] Interscience Conference on Antimicrobial Agents and Chemotherapy, 2009 and 2010.)

Acknowledgments

This research was conducted with support from the Investigator Sponsored Study Program of Merck & Co.

We thank Ellen Smith Moland and Kenneth Thomson for their contributions to the phenotypic and isoelectric focusing assays. We thank Herbert Schweizer for providing pMP220.

Footnotes

Published ahead of print on 16 May 2011.

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