Skip to main content
Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2001 Oct;39(10):3578–3582. doi: 10.1128/JCM.39.10.3578-3582.2001

Direct Identification of Bacteria from Positive Blood Cultures by Amplification and Sequencing of the 16S rRNA Gene: Evaluation of BACTEC 9240 Instrument True- Positive and False-Positive Results

Qinfang Qian 1,, Yi-Wei Tang 1,, Christopher P Kolbert 1, Catherine A Torgerson 1, John G Hughes 1, Emily A Vetter 1, W Scott Harmsen 2, Stacy O Montgomery 3, Franklin R Cockerill III 1,*, David H Persing 1,§
PMCID: PMC88391  PMID: 11574575

Abstract

In a previous study which evaluated the BACTEC 9240 automated blood culture system (Becton Dickinson Diagnostic Instrument Systems, Sparks, Md.), we noted a 1.3% “instrument false-positive” rate. That is, the BACTEC system signaled that a bottle (BACTEC Plus Aerobic/F bottle or BACTEC Anaerobic Lytic/10 bottle) culture was positive but a Gram stain was negative and there was no growth of bacteria or yeasts on subculture to chocolate agar. Furthermore, from the same sample of blood, cultures for fungi using the Isolator blood culture system (Wampole Laboratories, Cranbury, N.J.) were negative for growth. For the present study, we evaluated 76 instrument false-positive samples for the presence of 16S ribosomal DNA using the MicroSeq 500 kit (PE Biosystems, Foster City, Calif.). These samples also were negative for fungi by the Isolator method. This kit has a PCR module and sequencing module for the amplification and sequencing of the 16S RNA gene and provides a database for sequence alignment and identification of bacteria. To optimize the assay, we evaluated the effect of adding 0.5% bovine serum albumin to the sample from blood culture bottles and found that it decreased the effects of inhibitors on the PCR. Two control groups of blood culture specimens were also evaluated. One group (n = 45) were “instrument true positives”; the instrument signaled positive, and subsequent Gram stains were positive and subcultures on chocolate agar grew bacteria. The other group (n = 20) were “instrument true negatives”; the instrument signaled negative, the Gram stain was negative, and subcultures on chocolate agar and from the Isolator tube on fungal media showed no growth. None of the 76 instrument false-positive samples had evidence for 16S rRNA gene sequences. All of the instrument true-positive samples and all of the instrument true-negative specimens were positive and negative, respectively, using the MicroSeq 500 kit. Total peripheral white blood cell counts were statistically significantly higher for patients who had instrument false-positive results than for patients who had instrument true-positive or true-negative results (P = 0.001). We conclude that instrument false positives signaled by the BACTEC 9240 system are not due to bacteria in the blood culture samples.


Bacteremia has become a major nosocomial infection in most medical centers and represents a formidable source of morbidity and mortality (1, 14, 19, 26). Patients with bloodstream infections have a three-times-greater risk of dying than that expected from the underlying diseases alone (27). It has been estimated that there are 500,000 cases of bacteremia each year, with an associated crude mortality of 35% (28). The rapid and reliable detection and subsequent identification of microorganisms from blood remain critical so that the appropriate antimicrobial therapy can be provided.

DNA sequencing of conserved regions within phylogenetically informative genetic targets, such as the small-subunit (16S) rRNA gene, is promising as a means for identifying bacteria (5, 9, 22, 27). Broad-range PCR primers can be used to amplify highly conserved regions of the 16S rRNA gene from a wide range of organisms; highly variable regions within the amplicon permit phylogenetic analysis and, in many cases, species-level identification (7, 29). Recently, a commercial system, MicroSeq 500 (PE Biosystems, Foster City, Calif.), for identifying bacterial species based on amplification and sequence analysis of the first 527 bp of the 16S rRNA genes has become available (18, 23). In the present study, we evaluated the ability of the MicroSeq 500 system to detect and identify bacteria directly from blood cultures signaled as positive by the BACTEC 9240 blood culture system (Becton Dickinson Diagnostic Instrument Systems, Sparks, Md.).

The BACTEC 9240 blood culture system uses infrared spectrophotometry to monitor carbon dioxide produced by microorganisms on a continuous basis. This system has been shown to be more sensitive than other systems for the detection of a variety of microorganisms in blood. A recent study by our group demonstrated that this system had a 1.3% “instrument false-positive” rate; a positive signal occurred, but both Gram stain and subculture of the specimen on chocolate agar media showed no growth of bacteria or yeasts. Furthermore, culture of the same sample of blood for fungi using the Isolator blood culture system (Wampole Laboratories, Cranbury, N.J.) were negative for growth (2).

The objectives of the present study were to determine the utility of the MicroSeq 500 system to directly identify bacteria in blood culture bottles that were (i) BACTEC instrument true positives (the instrument signaled positive, and subsequent Gram stains were positive, and subcultures on chocolate agar grew bacteria) and (ii) BACTEC instrument false positives.

MATERIALS AND METHODS

Clinical specimens.

Aliquots of broth from blood culture bottles (BACTEC Plus Aerobic/F bottle and BACTEC Anaerobic Lytic/10 bottle) that signaled positive by the BACTEC 9240 blood culture system were collected and saved at 4°C. All DNA extractions were done within 2 to 5 days after the positive instrument signal occurred. A total of 76 instrument false-positive samples, 45 instrument true-positive samples (n = 45), and 20 instrument true-negative samples (negative Gram stain and no growth of bacteria or yeast on subculture on chocolate agar and for the same sample no growth of fungi from the Isolator blood culture system) were collected. Inoculation, processing, and incubation procedures for the BACTEC 9240 blood culture system (used for the BACTEC Plus Aerobic/F bottle and the BACTEC Anaerobic Lytic/10 bottle) and the Isolator blood culture system were described previously (2).

Patient leukocyte count.

All leukocyte counts were performed in the Mayo Clinic Hematology Laboratory using a model STKS counter (Coulter Corporation, Miami, Fla.).

Acridine orange stain.

Samples of all instrument false-positive blood cultures were stained with acridine orange (Becton Dickinson) in accordance with the manufacturer's instructions. Smears were examined at 1,000× magnification with an oil immersion objective using a fluorescence microscope.

Phenotypic identification of bacteria.

Conventional biochemical tests were used for the phenotypic identification of aerobic and anaerobic bacteria (22, 24). For some nonfermenting aerobic bacteria, the MicroLog system, release 4.0 (Biolog, Inc., Hayward, Calif.), was used.

DNA extraction and PCR amplification.

Nucleic acids from 200 μl of the contents of blood culture aerobic and anaerobic bottles were extracted by using the IsoQuick kit (ORCA Research, Inc., Bothell, Wash.) according to the manufacturer's instructions. Extracted DNA was suspended in 100 μl of water and was stored at −70°C until use. DNA samples were further diluted with water at 1:10 and 1:100 prior to PCR. Amplification of the first 527 bp of the 16S rRNA gene of the bacteria was done using the MicroSeq 500 kit (PE Biosystems) in accordance with the manufacturer's instructions with minor modifications: 20 μl of DNA samples and 5 μl of 5% bovine serum albumin (BSA; Sigma, St. Louis, Mo.) were used instead of 25 μl of DNA samples. Briefly, 20 μl of undiluted or diluted extracted DNA was mixed with 5 μl of 5% BSA (Sigma) and 25 μl of PCR master mixture, which included a broad-range primer set (0005F and 0531R). Amplifications were performed on a PE Biosystems GeneAmp 9600 thermal cycler. A total of 25 cycles were performed, and each cycle consisted of 30 s of melting at 95°C, 30 s of annealing at 60°C, and 45 s of extension at 72°C. Prior to the first cycle, the samples were heated to 95°C for 10 min, and the last cycle was followed by a final extension at 72°C for 10 min. Each 10 μl of PCR product was electrophoresed on an agarose gel (1.5% Nusieve [FMC, Rockland, Maine] and 1.5% electrophoresis grade agarose [Bethesda Research Laboratories, Gaithersburg, Md.]; a total of 3% agarose gel) to determine the presence of the amplicon. A single band was visualized with UV light by staining the gel with ethidium bromide (10 μg/ml) if the PCR was positive (15).

Genotypic identification of bacteria by sequence analysis of the 16S rRNA gene.

The remaining PCR products were purified prior to sequencing. Each 6 μl of PCR product was mixed with 1 μl of 1-U/ml shrimp alkaline phosphatase (Amersham Life Science, Inc., Piscataway, N.J.) and 1 μl of 10-U/ml exonuclease I (Amersham Life Science, Inc.), incubated at 37°C for 30 min, and then incubated at 80°C for 15 min. The PCR products (527 bp) were then sequenced with the fluorescent dye terminator cycle sequencing kit, which included 16S sequencing primers 0005F and 0531R; sequencing was performed on a GeneAmp PCR 9600 thermal cycler. Sequences were determined by electrophoresis with the ABI PRISM 377 automated DNA sequencer. Using the MicroSeq 500 microbial identification and analysis software, fragmentary sequence information was aligned and assembled, and the final consensus sequence was compared with over 1,200 validated 16S ribosomal DNA (rDNA) sequences in the database (18, 21). Identification of a specific bacterium was determined by phylogenetic analysis.

RESULTS

Effect of BSA on PCR.

During the evaluation of instrument true-positive blood cultures, we found that samples from the BACTEC 9240 aerobic and anaerobic blood culture bottles demonstrated significant inhibition of PCR. Enough material was available from 36 of the 45 true-positive samples to study the role that BSA may play in overcoming the PCR-inhibitory effects. As shown in Table 1, if DNA samples were not diluted before amplification, the rate of positivity was only 32%. Upon dilution of samples to 1:1,000, the amplification rate improved to 79%. Pretreatment of specimens by red blood cell lysis and/or centrifugation before extraction of DNA did not appreciably affect PCR inhibition (data not shown). However, by addition of 0.5% BSA to the PCR mixture, inhibition of PCR was essentially eliminated (Table 1). The PCR-positive rate increased from 53 to 97% (35 out of 36 samples) with BSA at a DNA sample dilution of 1:10. There was a reduction in sensitivity (92%) of the PCR when samples were diluted to 1:100. However, when running samples at both 1:10 and 1:100 dilutions, we could achieve 100% sensitivity. All the 20 instrument true negatives were PCR negative.

TABLE 1.

Effect of 0.5% BSA on PCR amplification of 16S rDNA from instrument true-positive blood culture samples

BSA content of PCR mixture No. tested No. of samples positive (%) at dilution of:
Undiluted 1:10 1:100 1:1,000 1:10 or 1:100
None 19 6 (32) 10 (53) 13 (68) 15 (79) 13 (68)
0.5% 36 NDa 35 (97) 33 (92) ND 36 (100)
a

ND, not done. 

Comparison of bacteria identification by sequencing the 16S rDNA with conventional phenotypic identification methods.

The results for genotypic versus phenotypic identification for the 45 instrument true-positive samples are shown in Table 2. Initial samples were chosen on a random basis without an awareness of phenotypic identification. Additional samples were selected after phenotypic identification to assure a more diverse group of organisms. The samples included 13 species of gram-positive and 17 species of gram-negative aerobic bacteria and 3 species of gram-positive and 4 species of gram-negative anaerobic bacteria. There was 100% agreement for phenotypic and genotypic identification methods for all 37 aerobic isolates to the species or genus level. Results for six of eight (75%) anaerobic isolates by both phenotypic and genotypic methods agreed to the species or genus level. One isolate was identified as Porphyromonas gingivalis by the phenotypic method but as Porphyromonas macacae (salivosa) by the sequencing method. Another isolate was identified as Peptostreptococcus prevotii by the phenotypic method but as Ruminococcus (Peptostreptococcus) productus (83.2% sequence homology) or as Peptostreptococcus prevotii (80% sequence homology) by the sequencing method.

TABLE 2.

Agreement of genotypic (MicroSeq 500) identification with phenotypic identification of bacteria grown in blood culture bottles

Sequencing result % of sequence homology Conventional identification
Streptococcus pneumoniae (3 isolates) 96.5–100  S. pneumoniae
Streptococcus vestibularis 100 Streptococcus spp., viridans group
Streptococcus pyogenes 100 S. pyogenes
Staphylococcus epidermidis 100 Staphylococcus spp., coagulase negative
Staphylococcus hominis 99.4 Staphylococcus spp., coagulase negative
Staphylococcus aureus (3 isolates) 97.9–99.8 S. aureus
Corynebacterium jeikeium 100 Corynebacterium sp.
Micrococcus luteus 99.3 Micrococcus sp.
Enterococcus faecalis 99.8 E. faecalis
Enterococcus faecium 99.8 E. faecium
Enterococcus gallinarum 99.8 E. gallinarum
Enterococcus flavescens 99.8 E. casseliflavus or E. flavescensa
Brevibacterium casei 95.4 Brevibacterium sp.
Escherichia coli (3 isolates) 99.4–100  E. coli
Haemophilus influenzae 100 H. influenzae
Enterobacter cloacae 99.9 E. cloacae
Enterobacter aerogenes 99.9 E. aerogenes
Pseudomonas aeruginosa (2 isolates) 99.8–100  P. aeruginosa
Klebsiella pneumoniae 99.0 K. pneumoniae
Proteus mirabilis 99.9 P. mirabilis
Cardiobacterium hominis 100 Cardiobacterium sp.
Serratia marcescens 99.4 S. marcescens
Stenotrophomonas maltophilia 98.9 S. maltophilia
Capnocytophaga ochracea 92.2 C. sputigena or C. ochraceaa
Citrobacter youngae 99.6 C. freundii complex
Citrobacter freundii 98.0 C. freundii
Acinetobacter junii 100 Acinetobacter sp.
Ralstonia (Alcaligenes) eutropha 96.3 Ralstonia sp.
Sphingomonas paucimobilis 100 S. paucimobilis
Morganella morganii 99.8 M. morganii
Propionibacterium acnes 100 Propionibacterium sp.
Fusobacterium nucleatum 97.6 F. nucleatum
Fusobacterium necrophorum 99.5 F. necrophorum
Bacteroides fragilis 99.6 B. fragilis
Bacteroides fragilis 99.8 B. necrophorum
Lactobacillus fermentum 97.2 Lactobacillus sp.
Porphyromonas salivosa 87.8 P. gingivalisb
Ruminococcus (Peptostreptococcus) productus 83.2 Peptostreptococcus prevotiib
a

The biochemical pattern could not differentiate between the two species. 

b

The genotypic identification disagreed with the phenotypic identification. 

Evaluation of the instrumental false-positive samples by acridine orange stain and 16S rDNA amplification.

None of the 76 instrument false-positive samples showed evidence of any microorganisms by acridine orange stain. Furthermore, no PCR amplicon was produced for any of these samples using broad-range primers for the bacterial 16S rRNA gene.

Blood leukocyte counts and instrument detection time of blood culture samples.

To investigate if high blood leukocyte counts contribute to the false signaling of the BACTEC 9240 blood culture system, we obtained peripheral leukocyte counts for patients for the following numbers of samples: 73 of 76 instrument false-positive specimens, 43 of 45 instrument true-positive specimens, and 20 of 20 instrument true-negative specimens (Table 3). Of the 73 patients with instrument false positives, 51 (70%) had higher-than-normal leukocyte counts (normal range, 3.5 × 109 to 10.5 × 109 leukocytes/liter). Of 43 positive-control patients and 20 negative-control patients, 18 (42%) and 11 (55%), respectively, had higher-than-normal leukocyte counts. Elevated leukocyte counts were statistically significantly more frequently associated with the instrument false-positive samples than with the two other groups of samples (P = 0.001).

TABLE 3.

Peripheral total leukocyte counts related to false signaling of BACTEC 9240 blood culture system

Leukocyte levelb No. of blood culture samples with indicated reading/no. sampled (%)
Instrument false positive Instrument true positive Instrument true negative
Low 2/73 (3) 8/43 (19) 1/20 (5)
Normal 20/73 (27) 17/43 (40) 8/20 (40)
High 51/73 (70)a 18/43 (42)a 11/20 (55)a
a

Statistically significant (P = 0.001). 

b

Low, <3.5 × 109/liter; normal, 3.5 × 109 to 10.5 × 109/liter; high, >10.5 × 109/liter. 

We also observed that more than one-half (54%, 38 of 70) of the instrument false-positive samples and none (0 of 45) of the instrument true-positive samples were signaled within 0 to 24 h of incubation, 41% (29 of 70) of instrument false-positive samples and 67% (30 of 45) of instrument true-positive samples were signaled within 24 to 48 h of incubation, and 4% (3 of 70) of instrument false-positive and 33% (15 of 45) of instrument true-positive samples were signaled within 48 to 120 h of incubation (Table 4). Instrument false-positive samples were signaled significantly earlier than instrument true-positive samples (P < 0.0001).

TABLE 4.

Time of signaling of blood culture samples by BACTEC 9240 blood culture systema

Incubation time (h) No. of blood culture samples with indicated reading/no. sampled (%)
Instrument false positive Instrument true positive
0–24 38/70 (54) 0/45 (0)
24–48 29/70 (41) 30/45 (67)
48–120 3/70 (4) 15/45 (33)
a

Instrument false-positive samples signaled statistically significantly sooner than instrument true-positive samples (P < 0.0001). 

DISCUSSION

The development of continuously monitored blood culture instruments has led to a decrease in the detection time of bloodstream infections. However, specific identification of bacteria still requires conventional phenotypic methods. DNA probe assays have been developed for a limited number of pathogens that are frequently isolated from blood cultures (3, 13). For fastidious bacteria, subculture of the bacteria from blood culture bottles to solid media may require several days to weeks before phenotypic assays can provide an identification. These organisms are infrequently a cause of infection, and so immunologic or DNA probe assays have not been developed.

Recently, Turenne et al. (23) reported a rapid identification method for bacteria from blood cultures by using multiplex PCR amplification of the 16S rRNA gene and analysis of the amplified fragments using nondenaturing electrophoresis. Their method could not differentiate two important pathogens, Staphylococcus aureus and Streptococcus pneumoniae, from other bacteria of their respective genera presumably because of the limited resolution of macromolecular-gel-based separation techniques.

Previously, our group used the MicroSeq kit to amplify the first 418, 527, or 1,189 bp of the 16S rRNA gene for identification of 72 unusual aerobic gram-negative bacilli isolated from clinical specimens on solid culture media (21). We found that sequencing the first 527 bp of the 16S rRNA gene provided rapid, unambiguous identification of all 72 isolates to genus level and 97.9% of nonfermenting gram-negative bacteria and 84.0% of fermenting gram-negative bacteria to species level.

In the present study, the MicroSeq 500 method was applied directly to samples from blood culture bottles, which were signaled positive by the BACTEC 9240 blood culture system. The first 527 bp of the16S rRNA gene were analyzed. Results were obtained with the MicroSeq 500 method. Results for all 37 (100%) aerobic gram-positive and gram-negative isolates agreed with results obtained by conventional phenotypic methods to species or genus level (Table 2). The time required to complete the MicroSeq 500 analysis (DNA extraction, amplification, sequencing, and analysis of sequence data) was approximately 2 days.

Recently, it was demonstrated that the MicroSeq 500 kit was an accurate and rapid method for the identification of Mycobacterium species from isolated colonies (18). However, there has been no reported study on the analysis of anaerobic bacteria by these methods. Although the number of samples was small in the present study, the agreement between MicroSeq results and conventional phenotypic analyses for anaerobic bacteria was lower than for aerobic bacteria. This may be due to the need for more anaerobic representatives in the MicroSeq database, shortcomings in conventional identification techniques, or a combination of both factors. Few taxonomic or phylogenetic studies have addressed broad-range rDNA PCR as a method for anaerobic bacterial identification. Although the 23S rRNA gene is larger (approximately 2.5 kb, compared to 1.5 kb for the 16S rRNA gene) and may allow for more-complete identification of anaerobic bacteria (21), the 16S rRNA gene may well contain enough phylogenetically informational sites to perform well as a diagnostic target.

We, like other investigators, discovered that samples of blood culture specimens taken from the BACTEC Plus Aerobic/F bottle or BACTEC Anaerobic Lytic/10 bottle contained substantial PCR-inhibitory activity (11, 12). If DNA samples were not diluted before performing the PCR, an amplicon was obtained only 32% of the time. When the DNA samples were diluted to 1:1,000, an amplicon was obtained 79% of the time. Hemin in blood has been shown to inhibit PCR (8, 10, 17). Fredricks and Relman (6) demonstrated that sodium polyanetholesulfonate, a common additive to blood culture media was a potent PCR inhibitor.

Investigators have tried to use different methods to overcome the inhibitory effect of clinical specimens for PCR testing. Kulski and Pryce (12) determined that DNA extracted by alkali wash and heat lysis contained less inhibitory activity than that extracted by a sodium iodide-isopropanol method. Benzyl alcohol-guanidine hydrochloride organic DNA extraction can also overcome the PCR-inhibitory effect (6).

Several studies have shown that BSA can lessen PCR inhibition. Forbes and Hicks (4) reported that 0.05% BSA decreased the effects of PCR inhibition in 95% of their sputum samples. Kreader (10) found that inhibition from hemin and unknown inhibitors from feces and natural water samples was decreased 10- to 1,000-fold by BSA but that BSA could not relieve the interference from minimum inhibitory levels of a hemin degradation product, such as bilirubin. In the present study, blood culture samples taken from the BACTEC bottles contained not only hemin but also sodium polyanetholesulfonate and/or other unknown inhibitors. By supplementing the PCR mixture with 0.5% BSA and testing at both 1:10 and 1:100 dilutions of samples, the inhibitory effects on PCR were significantly reduced but not completely eliminated (Table 1).

The BACTEC 9240 blood culture system permits continuously monitoring specimens for growth of bacteria and fungi. We and others (2, 16, 20) have demonstrated that this system has a small but still significant instrument false-positive rate; a positive signal occurs, but both Gram stain and subculture of the specimen to solid (chocolate) media showed no organisms, and fungal cultures using the Isolator blood culture method from the same sample of blood showed no growth.

It has been suggested by the manufacturer that elevated peripheral leukocyte counts may contribute to the false signaling of the BACTEC 9240 blood culture system. In the present study, elevated leukocyte counts were statistically significantly associated with instrument false-positive samples compared to instrument true-positive and instrument true-negative samples (Table 3). We also found that instrument false-positive samples were signaled by the BACTEC system statistically significantly earlier than positive controls (Table 4).

Although elevated total peripheral leukocyte counts were more frequently associated with the instrument false-positive samples, 31% of these samples had normal or lower-than-normal peripheral leukocyte counts. Therefore, elevated leukocyte counts were not the only cause for the instrument false-positive signals for this group of samples. Theoretically, there might be unusual and/or fastidious bacteria including mycobacteria (although mycobacteria do not commonly grow in the BACTEC bottles studied) present in these instrument false-positive samples; however, in none of these 76 samples was a 16S rDNA amplicon generated. These samples also had negative acridine orange stains. Acridine orange stains nucleic acids of bacteria and thus is a more sensitive method than Gram stain. It is theoretically possible that lysis of some organisms (e.g., Streptococcus pneumoniae) may occur in blood culture systems to the extent that no bacteria are subsequently cultured. In such a scenario, the instrument may signal positive. Further studies are required to verify this possibility and might include frequent sampling of blood cultures for subculture, stains, antigen detection, and nucleic acid analysis.

In conclusion, the MicroSeq 500 PCR and sequencing kit is a reliable rapid method for detecting aerobic bacteria directly from blood culture bottles of the BACTEC 9240 blood culture system. Adding 0.5% BSA to the PCR mixture greatly diminished PCR inhibitors in these specimens. The BACTEC 9240 instrument false-positive samples appeared negative for bacterial 16S rDNA. Elevated peripheral leukocyte counts were statistically significantly more frequently associated with instrument false-positive samples.

ACKNOWLEDGMENTS

We thank Roberta Kondert for her efforts in preparing the manuscript, Jeffrey J. Germer and Mark J. Espy for technical advice and support, and the technologists in the bacteriology and mycology laboratories for their contributions to this evaluation.

REFERENCES

  • 1.Adal K A, Farr B M. Central venous catheter-related infections: a review. Nutrition. 1996;12:208–213. doi: 10.1016/s0899-9007(96)91126-0. [DOI] [PubMed] [Google Scholar]
  • 2.Cockerill F R, III, Reed G S, Hughes J G, Torgerson C A, Vetter E A, Harmsen W S, Dale J C, Roberts G D, Ilstrup D M, Henry N K. Clinical comparison of BACTEC 9240 plus aerobic/F resin bottles and the isolator aerobic culture system for detection of bloodstream infections. J Clin Microbiol. 1997;35:1469–1472. doi: 10.1128/jcm.35.6.1469-1472.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Davis T E, Fuller D D. Direct identification of bacterial isolates in blood cultures by using a DNA probe. J Clin Microbiol. 1991;29:2193–2196. doi: 10.1128/jcm.29.10.2193-2196.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Forbes B A, Hicks K E. Substances interfering with direct detection of Mycobacterium tuberculosis in clinical specimens by PCR: effects of bovine serum albumin. J Clin Microbiol. 1996;34:2125–2128. doi: 10.1128/jcm.34.9.2125-2128.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Fredricks D N, Relman D A. Sequence-based identification of microbial pathogens: a reconsideration of Koch's postulates. Clin Microbiol Rev. 1996;9:18–33. doi: 10.1128/cmr.9.1.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Fredricks D N, Relman D A. Improved amplification of microbial DNA from blood cultures by removal of the PCR inhibitor sodium polyanetholesulfonate. J Clin Microbiol. 1998;36:2810–2816. doi: 10.1128/jcm.36.10.2810-2816.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Greisen K, Loeffelholz M, Purogit A, Leong D. PCR primers and probes for the 16S rRNA gene of most species of pathogenic bacteria, including bacteria found in cerebrospinal fluid. J Clin Microbiol. 1994;32:335–351. doi: 10.1128/jcm.32.2.335-351.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Higuchi R. Simple and rapid preparation of samples for PCR. In: Erlich H A, editor. PCR technology: principles and applications for DNA amplification. New York, N.Y: Stockton Press; 1989. pp. 31–38. [Google Scholar]
  • 9.Kolbert C P, Persing D H. Ribosomal DNA sequencing as a tool for identification of bacterial pathogens. Curr Opin Microbiol. 1999;2:299–305. doi: 10.1016/S1369-5274(99)80052-6. [DOI] [PubMed] [Google Scholar]
  • 10.Kreader C A. Relief of amplification inhibition in PCR with bovine serum albumin or T4 gene 32 protein. Appl Environ Microbiol. 1996;62:1102–1106. doi: 10.1128/aem.62.3.1102-1106.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kulski J K, Khinsoe C, Pryce T, Christiansen K. Use of a multiplex PCR to detect and identify Mycobacterium avium and M. intracellulare in blood culture fluids of AIDS patients. J Clin Microbiol. 1995;33:668–674. doi: 10.1128/jcm.33.3.668-674.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kulski J K, Pryce T. Preparation of mycobacterial DNA from blood culture fluids by simple alkali wash and heat lysis method for PCR detection. J Clin Microbiol. 1996;34:1985–1991. doi: 10.1128/jcm.34.8.1985-1991.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kuritza A P, Getty C E, Shaughnessy P, Hesse R, Salyers A A. DNA probe for identification of clinically important bacteroides species. J Clin Microbiol. 1986;23:343–349. doi: 10.1128/jcm.23.2.343-349.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Make D G. Nosocomial bacteremia: an epidemiologic overview. Am J Med. 1981;70:719–732. doi: 10.1016/0002-9343(81)90603-3. [DOI] [PubMed] [Google Scholar]
  • 15.Mendez J C, Espy M J, Smith T F, Wilson J A, Paya C V. Evaluation of PCR primers for early diagnosis of cytomegalovirus infection following liver transplantation. J Clin Microbiol. 1998;36:526–530. doi: 10.1128/jcm.36.2.526-530.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Nolte F S, Williams J M, Jerris R C, Morello J A, Leitch C D, Matushek S, Schwabe L D, Dorigan F, Kocka F E. Multicenter clinical evaluation of a continuous monitoring blood culture system using fluorescent-sensor technology (BACTEC 9240) J Clin Microbiol. 1993;31:552–557. doi: 10.1128/jcm.31.3.552-557.1993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Panaccio M, Lew A. PCR in the presence of 8% (v/v) blood. Nucleic Acids Res. 1991;19:1151–1156. doi: 10.1093/nar/19.5.1151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Patel J B, Leonard D G B, Pan X, Musser J M, Berman R E, Nachamkin I. Sequence-based identification of Mycobacterium species using MicroSeq 500 16S rDNA bacterial identification system. J Clin Microbiol. 2000;38:246–251. doi: 10.1128/jcm.38.1.246-251.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Salzman M B, Rubin L G. Intravenous catheter-related infections. Adv Pediatr Infect Dis. 1995;10:337–368. [PubMed] [Google Scholar]
  • 20.Shigei J T, Shimabukuro J A, Pezzlo M T L, de la Maza M, Peterson E M. Value of terminal subcultures for blood cultures monitored by BACTEC 9240. J Clin Microbiol. 1995;33:1385–1388. doi: 10.1128/jcm.33.5.1385-1388.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tang Y, Ellis N M, Hopkins M K, Smith D H, Dodge D E, Persing D H. Comparison of phenotypic and genotypic techniques for identification of unusual aerobic pathogenic Gram-negative bacilli. J Clin Microbiol. 1998;36:3674–3679. doi: 10.1128/jcm.36.12.3674-3679.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Temesgen Z, Toal D R, Cockerill F R., III Leclercia adecarboxylata infections: case report and review. Clin Infect Dis. 1997;25:79–81. doi: 10.1086/514514. [DOI] [PubMed] [Google Scholar]
  • 23.Turenne C Y, Witwicki E, Hoban D J, Karlowsky J A, Kabani A M. Rapid identification of bacteria from positive blood cultures by fluorescence-based PCR-single-strand conformation polymorphism analysis of the 16S rRNA gene. J Clin Microbiol. 2000;38:513–520. doi: 10.1128/jcm.38.2.513-520.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Washington J A. Laboratory procedures in clinical microbiology. 2nd ed. New York, N.Y: Springer-Verlag; 1985. [Google Scholar]
  • 25.Weisburg W G, Barns S M, Pelletier D A, Lane D J. 16S ribosomal DNA amplification for phylogenetic study. J Bacteriol. 1991;173:697–703. doi: 10.1128/jb.173.2.697-703.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wenzel R P, Pinsky M R, Ulevitch R J, Young L. Current understanding of sepsis. Clin Infect Dis. 1996;22:407–413. doi: 10.1093/clinids/22.3.407. [DOI] [PubMed] [Google Scholar]
  • 27.Wenzel R P. Anti-endotoxin monoclonal antibodies—a second look. N Engl J Med. 1992;326:1151–1153. doi: 10.1056/NEJM199204233261710. [DOI] [PubMed] [Google Scholar]
  • 28.Woese C R. Bacterial evolution. Microbiol Rev. 1987;51:221–271. doi: 10.1128/mr.51.2.221-271.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Clinical Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES