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Development of Broad-range and Specific 16S rRNA PCR for Use in Routine Diagnostic Clinical Microbiology

임상미생물 검출을 위한 광대한 범위와 특이도를 가지는 16S rRNA PCR법 개발

  • Kim, Hyun-Chul (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories) ;
  • Kim, Yun-Tae (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories) ;
  • Kim, Hyogyeong (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories) ;
  • Lee, Sanghoo (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories) ;
  • Lee, Kyoung-Ryul (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories) ;
  • Kim, Young-Jin (Department of Molecular Biology, Seoul Medical Science Institute/Seoul Clinical Laboratories)
  • 김현철 ((재)서울의과학연구소 분자생물연구팀) ;
  • 김윤태 ((재)서울의과학연구소 분자생물연구팀) ;
  • 김효경 ((재)서울의과학연구소 분자생물연구팀) ;
  • 이상후 ((재)서울의과학연구소 분자생물연구팀) ;
  • 이경률 ((재)서울의과학연구소 분자생물연구팀) ;
  • 김영진 ((재)서울의과학연구소 분자생물연구팀)
  • Received : 2014.01.27
  • Accepted : 2014.03.06
  • Published : 2014.04.30

Abstract

Broad-range and specific 16S rRNA gene PCR is used for detection and identification of bacterial pathogens in clinical specimens from patients with a high suspicion for infection. We describe the development of a broad-range and specific PCR primer, based on bacterial 16S rRNA, for use in routine diagnostic clinical microbiology services. The primers were designed by using conservative regions of 16S rRNA sequences from 10 strains. Ninety-eight clinical strains were isolated from clinical patient specimens. A total of 98 strains of bacteria were identified by phenotypic methods; PCR with newly designed primers and universal primers. All purified PCR products were sequenced using both forward and reverse primers on an automated DNA analyzer. In this study, we evaluated the usefulness of the newly designed primers and the universal primers for the detection of bacteria, and both these techniques were compared with phenotypic methods for bacteria detection. When we also tested 98 strains of clinical isolates with newly designed primers, about 778 bp DNA fragments were amplified and identified from all strains. Of the 98 strains, 94 strains (95.9%) correspond in comparison with phenotypic methods. The newly designed primers showed that the identities of 98 (100%) strains were the same as those obtained by universal PCR primers. The overall agreement between the newly designed primers and universal primers was 100%. The primer set was designed for rapid, accurate, and cheap identification of bacterial pathogens. We think the newly designed primer set is useful for the identification of pathogenic bacteria.

16S rRNA gene PCR법은 환자 검체로부터 병원성 미생물을 검출 및 동정에 사용되어진다. 본 연구는 대량의 임상미생물 진단을 위해 bacterial 16S rRNA 부위 유전자 서열을 이용하여 광대한 범위와 높은 특이도를 가지는 primer을 포함한 PCR법을 개발하였다. 10개 표준 균주 16S rRNA 보존 부위의 유전자 서열을 기반으로 primer set를 구축하였다. 98명 환자 검체에서 임상 미생물을 분리하였다. 98개 균주는 phenotypic 방법을 이용하여 확인하고, 개발된 primer set와 universal primer set를 이용한 PCR법으로 확인하였다. 획득한 PCR 산물은 forward primer, reverse primer, 그리고 자동화 DNA 분석기를 이용하여 각 균주의 16S rRNA 유전자 서열을 분석 및 확인하였다. 본 연구에서 개발된 primer set와 universal primer set의 임상미생물 검출에 대한 효율성을 평가하였고, 또한 phenotypic 방법과 분자생물학적 방법을 비교했다. 분리된 98개 균주를 대상으로 개발된 primer set로 16S rRNA PCR을 진행하여 778 bp 크기의 단일밴드로 증폭 되었음을 확인했다. 총 98개중 94개 균주(95.9%)는 phenotypic 결과와 동일함을 확인했다. 새로 개발된 primer set를 이용한 결과는 universal primer set를 이용한 98개 균주(100%)의 결과와 동일함을 확인하였다. 개발된 16S rRNA gene PCR법은 임상미생물 검출 및 동정에서 신속성, 정확성, 그리고 검사 비용 절감의 장점을 가진다. 개발된 primer set는 병원성 미생물 동정에서 효율성을 확인했다.

Keywords

Introduction

Identification of bacteria in clinical microbiology is traditionally performed by isolation of the organisms and study of their phenotypic characteristics, including gram staining, morphology, culture requirements, and biochemical reactions. However, these methods of bacterial identification have major weakness [10]. First, they cannot be used for non-cultivable organisms. Second, we are occasionally faced with organisms exhibiting biochemical characteristics that do not fit into patterns of any known genus and species. Third, identification of slow-growing organisms would be extremely slow and difficult [10]. Especially, conventional methods often cannot fully characterize bacterial or fungal isolates, and laboratories are now relying on broad-range DNA sequencing for microorganism identification. Therefore, CLSI (Clinical and Laboratory Standards Institute) guideline suggests 16S rRNA for bacteria and ITS (Internal transcribed spacer) regions for fungi [8]. 16S rRNA gene sequences to study bacterial phylogeny and taxonomy have been by far the most common housekeeping genetic marker used for a number of reasons. These reasons include (i) its presence in almost all bacteria, often existing as a multigene family, or operons; (ii) the function of the 16S rRNA gene over time has not changed, suggesting that random sequence changes are a more accurate measure of time (evolution); and (iii) the 16S rRNA gene (approximately 1,5 kb) is large enough for informatic purposes [7]. Despite its accuracy, 16S rRNA gene sequence analysis lacks widespread use beyond the large and reference laboratories because of cost and technical considerations. We describe the development of a broad-range PCR primer set, based on bacterial 16S rRNA, for use in the routine diagnostic clinical microbiology service.

The purpose of this study was to evaluate the utility of newly designed 16S rRNA primers in a clinical microbiology laboratory by comparing it with identification by universal PCR primers and the phenotypic methods.

 

Materials and Methods

Bacterial strains and DNA isolation

For the specificity of conventional PCR assay with designed primer, it was verified using strains of both American Type Culture Collection (ATCC; Manassas, VA, USA) reference and clinical origins. 20 strains obtained from the ATCC, were used in this study. And 98 clinical (50 gram-negative and 48 gram-positive) strains were isolated from patient specimens. Bacterial strains were cultured on sheep blood or chocolate agar depending upon the specific growth requirement of each species. For identification, Vitek system (bioMerieux Vitek, NC, USA) and several conventional biochemical methods were used for identification of the bacterial strains [11]. Bacterial DNA was prepared from collected bacteria samples using the G-spinTM for Bacteria Genomic DNA Extraction Kit according to the manufacturer’s instructions (Intron Biotechnology, Seoul, Korea).

Conventional PCR assay

The sequences of the PCR primers that were evaluated in this study to detect broad bacteria species are all shown in Table 1. Used primer pairs are 2 primer sets. One primer set was 9F (5’-ATCCTGGCTCAGATTGAACG-3’), 767R (5’-CTAATCCTGTTTGCTCCCCA-3’). These were designed with highly conserved regions from the 16S rRNA gene sequences of variable species. Conserved regions were confirmed by CLUSTALW2 software. And the other one used universal primer pair: F (5’-AGAGTTTGATCCTGGCTCAG-3’), R (5’- GGTTACCTTGTTACGACTT-3’) [7, 8, 10]. All oligonucleotides were provided from the Bioneer (Daejeon, Korea). DNA was amplified in 20 μl reaction mixture consisting of 2 μl of 10× PCR buffer, 1 μl of 2 mM dNTP, 1 μl of 10 μM forward primer, 1 μl of 10 μM reverse primer, 13 μl of DW, and 0.25 U of Super-Therm Gold Taq DNA polymerase (JMR Holdings, Kent, UK). The conditions for amplification of universal primer were pre-denaturation at 95℃ for 12 min, 35 cycles of denaturation at 95℃ for 30 sec, annealing at 60℃ for 40 sec, and extension at 72℃ for 1 min, followed by a final elongation step at 72℃ for 10 min. And another one with designed primer were subjected to 35 cycles of amplification with denaturation at 95℃ for 30 sec, annealing at 53℃ for 40 sec, and extension at 72℃ for 1 min, followed by a final elongation step at 72℃ for 5 min. After amplification, 6 μl aliquot of each amplication product was analyzed using electrophoresis on 1% agarose gels cast and ran in 0.5× TAE buffer. A 100 bp maker (Cosmogenetech, Seoul, Korea) was included in the gel. Gel was stained with ethidium bromide and visualized using transmitted ultraviolet illumination and photographed using gel documentation system.

Table 1.Synthetic oligonucleotide used as primer for PCR

DNA sequencing and analysis

The PCR products were directly sequenced and analyzed using an ABI 3130XL DNA sequencers (Applied Biosystems, USA) and ABI sequencing Analysis Software. To eliminate errors caused by amplification artifacts, the forward and reverse sequences of each 16S rRNA gene sequences were determined for products from at least two independent PCRs. The sequences of the PCR products were compared with known 16S rRNA gene sequences in NCBI GenBank (http://www.ncbi.nlm.nih.gov/genbank/).

 

Results

The 9F/767R bacterial primer set was designed from a conserved region of the 16S rRNA gene, which is located between the universal bacterial primer set (Fig. 1, Table 1). Bacterial 16S rRNA sequences were amplified from type strians and clinical isolates. We describe new primer set (9F/767R) and universal primer set (8F/1492R) that may be used to amplify DNA from many different species of microorganism, and use this DNA to identify the organisms.

Fig. 1.Alignment of sequences in the region of the 16S rRNA genes for P. aeruginosa (EF079669), B. cepacia (GQ359110), E. cloacae (GU191924), K. pneumoniae (HQ200406), E. coli (FJ823386), S. flexneri (EU009189), S. typhi (Z47544), P. mirabilis (HM771658), E. faecalis (AY692453), S. aureus (AB634830), (lines 1 to 10, respectively). Square boxes represent primers newly designed from 16S rRNA sequences.

For each sample, two different PCR products, using 9F/767R and 8F/1492R primers, were independently processed. Amplification using the universal primer pair generated a single DNA fragment of approximately 1,492 bp (Fig. 2A). Amplification using the new primer pair generated DNA bands at about 778 bp (Fig. 2B). This pairs were used to 16S rRNA amplification from the 20 species type strains (Acinetobacter lwoffii ATCC 17925, Bacillus subtilis ATCC 6633, Brevibacilus brevis ATCC 8246, Enterobacter cloacae ATCC 700323, Enterobacter sakazakii ATCC 29544, Enterococcus casseliflavus ATCC 700327, Enterococcus faecalis ATCC 51299, Enterococcus faecalis ATCC 29212, Escherichia coli ATCC 25922, Escherichia coli O157:H7 ATCC 43888, Klebsiella pneumoniae ATCC 13883, Proteus mirabilis ATCC 7005, Providencia alcalifa ciens ATCC 51902, Pseudomonas aeruginosa ATCC 9027, Pseudomonas aeruginosa ATCC 27853, Salmonella typhimurium ATCC 1925, Staphylococcus aureus ATCC 25923, Streptococcus pneumoniae ATCC 49619, Streptococcus pyogenes ATCC 19615, Vibrio parahaemolyticus NCCP 10511), all of which were amplified successfully and showed no additional bands. The newly designed primers showed about 778 bp size DNA band (PCR product) in the 98 clinical isolated strains.

Fig. 2.PCR products in a 1% agarose gel for the 20 bacterial species tested with universal primer and the newly designed primers. (A) Universal PCR with primers 8F and 1492R (amplicon size: 1,492 bp), (B) PCR with newly designed primers 9F and 767R (amplicon size: 778 bp), Lanes: M, DNA size markers; 1, Acinetobacter lwoffii ATCC 17925; 2, Bacillus subtilis ATCC 6633; 3, Brevibacilus brevis ATCC 8246; 4, Enterobacter cloacae ATCC 700323; 5, Enterobacter sakazakii ATCC 29544; 6, Enterococcus casseliflavus ATCC 700327; 7, Enterococcus faecalis ATCC 51299; 8, Enterococcus faecalis ATCC 29212; 9, Escherichia coli ATCC 25922; 10, Escherichia coli O157:H7 ATCC 43888; 11, Klebsiella pneumoniae ATCC 13883;12, Proteus mirabilis ATCC 7005; 13, Providencia alcalifaciens ATCC 51902; 14, Pseudomonas aeruginosa ATCC 9027; 15, Pseudomonas aeruginosa ATCC 27853; 16, Salmonella typhimurium ATCC 1925; 17, Staphylococcus aureus ATCC 25923; 18, Streptococcus pneumoniae ATCC 49619; 19, Streptococcus pyogenes ATCC 19615; 20, Vibrio parahaemolyticus NCCP 10511.

Using universal primers, the 16S rRNA gene PCR amplification of the 98 isolates showed about 1,492 bp. Using new primers, the 16S rRNA gene PCR amplification of the 98 isolates was successful, yielding target bands at about 778 bp. Furthermore, DNA sequencing of the corresponding PCR products using the same oligonucleotides as sequencing primers posed no problems. Purified PCR products were directly sequenced in both forward and reverse directions using the same primers as for PCR. Table 1 shows bacteria identification using either the universal primer or the newly designed 16S rRNA primers. The 16s rRNA sequence of type strains were compared with the universal primers and newly designed 16S rRNA primers. The nucleotide similarity values were calculated, and similarity values were determined using the BLAST program at NCBI website. An observed percentage difference is the number of base mismatches between two aligned sequences, as determined. Obtained full sequences showed approximately average 99.74% (99.4~99.8%) identification with the database sequences using universal primers, indicating that correct amplification had been achieved. Also, average bacteria identification by new primers were 99.72% (Table 2). All strains, except Bacillus subtilis, analysed sequences revealed identification above 99% (99.2~100%), Bacillus subtilis is identified as having a high rate of 98.9%. The identities of 19 type strains were the same as those obtained by universal primers and the rate of identification is above 99%. For all 20 type strains, there was <1.1% difference between the 16S rRNA gene sequences of the type strains and the most closely matched sequence in the GenBank (Table 2).

Table 2.a)Analysis using database of GenBank

Analysis of the 20 strains sequences using the newly designed primers by 16S rRNA-based bacterial identification database showed that the identities of 20 strains were the same as those obtained by universal 16S rRNA gene sequencing. In other words, twenty of 20 strains were identified as the same species by newly designed primers, in agreement with the naming by the ATCC or NCCP. Then, we evaluated the usefulness of this primer in the identification of isolates clinically significant bacterial strains that showed phenotypic identification methods. A total of 98 bacterial strains were tested by molecular method including the sequences. An observed percentage is the number of matches or mismatches between blasted sequences, as determined. Four of 98 isolated strains showed a considerable number of mismatches with clinical isolates in phenotypic method. Newly designed PCR primers and universal PCR primers analysis of the isolates revealed same results for 98 clinical isolates, while in 4 isolates, phenotypic method were inconsistent (Table 3). It reaffirms the 16S rRNA genes amplification of the 4 isolates showed bands at about 1,492 bp and 778 bp, respectively. Four strains of incorrect identity (one of Escherichia coli, one of Stapylococcus aureus, one of Corynebacterium striatum and one of Streptococcus sp.) were studied to assess and compare newly designed PCR primers and universal PCR primers by 16S rRNA-based identification of bacteria. The 4 strains (E. coli, S. aureus, C. striatum, Streptococcus sp.) has been identified as a strain of Citrobacter freundii, Stapylococcus saprophyticus, Corynebacterium confusum, Arthrobacter cumminsii, respectively (Table 3). After all, identification of phenotypic method of 4 isolates was not discriminative enough. However, new primers and universal primers of these 98 isolates were compared to the known 16S rRNA gene sequences in the GenBank, yielded the correct identity, with good discrimination. The overall agreement between the newly designed primers and universal primers were 100%. Therefore, the newly designed primers of identification have the advantage over phenotypic methods of identification, the newly designed primers 16S rRNA-based, is investigation and approach focused on identifying to solved the problem of phenotypic method.

Table 3.a)Vitek system (bioMerieux Vitek) was used for identification of 50 clinical isolates of 50 gram-negative and 30 clinical isolates of 48 gram-positive (except clinical isolates of 10 Staphylococcus aureus and 8 Streptococcus agalactiae) 10 S. aureus clinical isolates were identified using the biochmical test (catalase, coagulase test, DNase, Mannitol salt agar), and 8 S. agalactiae clinical isolates were identified using the Pastorex Strep test (Bio-Rad, Hercules, CA,. USA). b)Citrobacter freundii c)Stapylococcus saprophyticus d)Corynebacterium confusum e)Arthrobacter cumminsii

In this case, in fact, bacteria identification can be detected by the use of the newly designed PCR primers, instead of the "universal" primers 8F/1492R.

 

Discussion

Clinically significant strains should be identified at the species level by a reliable and reproducible method to provide a better understanding of pathogenic potential of various species. Phenotypic methods for identification of strains appear to be unreliable. The purpose of the present study was to compare commonly used phenotypic methods, the Vitek system and PCR amplicon-sequencing based methods targeting the 16S rRNA gene.

In this study, we evaluated the usefulness of the newly designed primers and of universal primers (8F and 1492R) for identification of bacteria, and both these techniques were compared with phenotypic methods (Vitek, biochemical test, and streptex) for bacteria identification. Ninety-eight clinical strains (50 gram-negative and 48 gram-positive) were isolated from clinical patient specimens. A total 98 strains of bacteria were identified by molecular method (PCR) with newly designed primers and universal primers and phenotypic methods.

Nucleotide sequences of PCR new primers (9F and 767R) designed from the universally conserved amino acid sequences of the 16S rRNA gene from 10 type strains (Acinetobacter lwoffii, Bacillus subtilis, Brevibacilus brevis, Enterobacter cloacae, Enterobacter sakazakii, Enterococcus casseliflavus, Enterococcus faecalis, Enterococcus faecalis, Escherichia coli, Escherichia coli O157, Klebsiella pneumoniae, Proteus mirabilis, Providencia alcalifaciens, Pseudomonas aeruginosa, Pseudomonas aeruginosa, Salmonella typhimurium, Staphylococcus aureus, Streptococcus pneumoniae, Streptococcus pyogenes, Vibrio parahaemolyticus). Each strain sequences were aligned using ClustalW. And then the specific PCR primers for type strains were designed using the Primer3Plus (Fig. 1, Table 1).

DNA obtained from ATCC standard control strains was examined by the universal primers and newly designed primers (Fig. 2). All of these DNA samples generated the universal PCR product of the expected 1,492 bp size (Fig. 2A). The newly designed primers PCR band of approximately 778 bp was also produced (Fig. 2B).

Table 2 shows identification using either the universal primers or the newly designed 16S rRNA primers. We used BLAST to compare the sequence of PCR product with known nucleotide sequences of type strains in the database. Observed percentage difference is the number of base mismatches between two aligned sequences. Rates of correct identification by the universal primers and new primers were 99.74(99.4~99.9%) and 99.72(98.9~100%), respectively (Table 2). When all type strains were considered, that new primer have very similar rate to universal primer. We found that all of the type strain sequences they generated had an identical perfect matching sequence when analyzed by new primers. In other words, twenty of 20 strains were identified as the same species by newly designed primer, in agreement with the naming by the ATCC or NCCP.

In this study, we evaluated the utility of newly designed primer as a means to identify 98 isolates obtained from clinical sources. Surveys looked at the feasibility of identifying medically important bacteria using newly designed primers. When we also tested 98 strains of clinical isolates with newly designed primers and universal primers, DNA fragment was amplified and was identified from all strains. Phenotypic identification including Vitek system, biochemical test, and strep test were performed in the 98 isolates. 16S rRNA genes using two primer sets were amplified by PCR, sequencing and then the sequence was put in GenBank BLAST to compare with database in NCBI.

Of the total 98 strains, 94 strains (95.9%) correspond in comparison with phenotypic methods. 4(4.1%) isolates were misidentified at phenotypic methods. The newly designed primers showed that the identities of 98(100%) strains were the same as those obtained by universal PCR primers (Table 3). The overall agreement between the newly designed primers and universal primers were 100%. Newly designed PCR primers and universal PCR primers analysis of the clinical isolates revealed same results for 50 gram negative isolates, while phenotypic result of 1 isolate was inconsistent. One Citrobacter freundii strain was incorrectly identified as E. coli with the phenotypic methods (Table 3).

Even if 16S rRNA gene sequencing is highly useful in regards to bacterial identification, it has low phylogenetic power at the species level and poor discriminatory power for some genera [1, 6, 9], and DNA relatedness studies are necessary to provide absolute resolution to these taxonomic problems. Previously, it was reported that the type strains of Edwardsiella species exhibit 99.35 to 99.81% similarity to each other, and yet these three species are clearly distinguishable biochemically and by DNA homology (28 to 50% relatedness) [4].

The misidentification rate was higher with the Vitek than with the sequence. These misidentifications did lead to errors in interpretation of clinical isolates. However, in this study, Newly designed PCR primers and universal PCR primers for K. pneumoniae, Serratia marcescens, Morganella morganii ssp morganii, Proteus mirabilis, Citrobacter braakii and Acinetobactor baumanii complex showed good agreement with phenotypic methods. With the exception of 3 isolates (S. aureus, Corynebacterium striatum, Streptococcus sp.), 45 isolates showed good agreement with phenotypic methods. A higher percentage of species identifications were obtained using newly designed primers and universal primers results than phenotypic methods.

All strains except 8 E. faecalis, 8 Streptococcus agalactiae, 3 S. haemolyticus, 3 E. faecium, 1 S. pneumoniae, 1 S. lugdunensis, 1 S. hominis, 1 Stapylococcus capitis ssp. Capitis, 1 Stapylococcus epidermidis, 1 Streptococcus dysgalacitae ssp. Equisimilis, 1 Streptococcus pyogenes, 1 Streptococcus mitis (viridans strep), 1 Streptococcus anginosus, 1 Corynebacterium pseudodiphtherigoicum, 1 Corynebacterium urealyticum, 1 Staphylococcus caprae, and 1 Streptococcus gordonii, phenotypic results matched molecular methods (New primer and universal primer).

Four strains of incorrect identity (one of Escherichia coli, one of Stapylococcus aureus, one of Corynebacterium striatum and one of Streptococcus sp.) were studied to assess and compare newly designed PCR primers and universal PCR primers by 16S rRNA-based identification of bacteria. 4 strains, E. coli, S. aureus, C. striatum, Streptococcus sp., has been identified as a strain of Citrobacter freundii, Stapylococcus saprophyticus, Corynebacterium confusum, Arthrobacter cumminsii, respectively. The overall agreement between the newly designed primers and universal primers were 100%.

Therefore, the newly designed primers for identification have the advantage over phenotypic methods, the newly designed primers 16S rRNA-based, is investigation and approach focused on identifying to solved the problem of phenotypic method.

The primer set was designed for rapid and accurate identification of bacterial pathogens. We think the newly designed primer set is useful for the identification of pathogenic bacteria. In this case, in fact, bacteria identification can be detected by the use of the newly designed PCR primers, instead of the "universal" primers 8F/1492R.

Some bacteria are difficult to identify with phenotypic identification schemes commonly used outside reference laboratories. 16S rRNA-based identification of bacteria potentially offers a useful alternative when phenotypic characterization methods fail. However, as yet, the usefulness of 16S rRNA sequence analysis in the identification of conventionally unidentifiable isolates has not been evaluated with a large collection of isolates. In this study, we evaluated the utility of 16S rRNA sequencing as a means to identify a collection of isolates obtained from clinical sources.

The sensitivity and specificity for pathogens identification were compared among different methods. 98 clinical specimens from different sources underwent phenotypic identification and molecular identification using 16S rRNA universal PCR primers and the newly designed primers. As results, our new primers have the usefulness.

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