Mycology
Diagnosis of pelvic actinomycosis by 16S ribosomal RNA gene sequencing and its clinical significance

https://doi.org/10.1016/S0732-8893(02)00375-9Get rights and content

Abstract

Traditional ways of identification of anaerobic Gram-positive non-sporulating bacilli by isolation of the organism and studying it phenotypically by elucidation of its morphologic and biochemical characteristics and metabolic end products are associated with a need for special equipment and expertise, and strains that are “unidentified” because of ambiguous biochemical profiles. In this study, an anaerobic Gram-positive non-sporulating bacterium was isolated from the intrauterine contraceptive device of a 36-year old woman with pyosalpinx. The Vitek system (ANI) showed that it was 99% Propionibacterium granulosum; whereas the API system (20A) showed that it was 78% Actinomyces meyeri/odontolyticus. The 16S ribosomal RNA gene of the strain was amplified and sequenced. There was 0 base difference between the isolate and A. odontolyticus (GenBank Accession no. AJ234047), indicating the isolate most closely resembled a strain of A. odontolyticus. Identification of the organism in this study was important because the duration of antibiotic therapy would be entirely different. In the present case, identification of the bacterium as A. odontolyticus inferred that the patient suffered from an intermediate form of pelvic actinomycosis. A prolonged course of antibiotics would be more desirable, as the relapse rate of actinomycosis after a short course of antibiotics is high.

Introduction

Identification of anaerobic Gram-positive non-sporulating bacilli in the clinical microbiology laboratory is traditionally performed by isolation of the organism and studying it phenotypically by elucidation of its morphologic and biochemical characteristics and metabolic end products. However, these methods have two major drawbacks. First, for organic acid analysis using gas chromatography, special equipment and expertise are required, but are generally not available in most routine clinical microbiology laboratories. Second, we are occasionally faced with organisms with biochemical characteristics that do not fit into patterns of any known genus and species.

Since the discovery of polymerase chain reaction (PCR) and DNA sequencing, comparison of the gene sequences of bacterial species showed that the 16S ribosomal RNA (rRNA) gene is highly conserved within a species and among species of the same genus, and hence can be used as the new gold standard for speciation of bacteria. Using this new standard, phylogenetic trees, based on base differences between species, are constructed; and bacteria are classified and re-classified into new genera Olsen et al 1992, Olsen and Woese 1993. Furthermore, non-cultivable organisms and organisms with ambiguous biochemical profiles can be classified and identified Relman et al 1990, Relman et al 1992, Tang et al 1998, Patel et al 2000. Recently, we have reported the application of 16S rRNA gene sequencing in the identification of clinical isolates with ambiguous biochemical profiles Woo et al 2000a, Woo et al 2000b, Woo et al 2001a, Woo et al 2001e, and a bacterium that was non-cultivable (Cheuk et al., 2000). In this study, we report the application of such a technique in the identification of a strain of Actinomyces odontolyticus isolated from the intrauterine contraceptive device (IUCD) of a patient with pyosalpinx, and the significance of identifying the organism is discussed.

Section snippets

Patient and microbiologic methods

All clinical data were collected prospectively as described in our previous publication (Luk et al., 1998). Clinical specimens were collected and handled according to standard protocols. The Vitek System (ANI) (bioMerieux Vitek, USA) and API system (20A) (bioMerieux Vitek, Hazelwood, Mo., USA) were used for the identification of the bacterial isolate in this study.

Extraction of bacterial DNA for 16s ribosomal RNA gene sequencing

Bacterial DNA extraction was modified from our previous published protocol (Woo et al., 1997). Briefly, 80 μL of NaOH (0.05 M) was

Patient

A 36-year old Chinese woman was admitted to hospital because of left lower quadrant pain for three weeks. She had an IUCD inserted for more than one year. On admission, her oral temperature was 39.8°C. Examination of the abdomen revealed left lower quadrant tenderness. Total white cell count was 19.1 × 109/L, with neutrophil 16.2 × 109/L, lymphocyte 1.3 × 109/L and monocyte 1.5 × 109/L. Hemoglobin level was 10.6 g/dL and platelet count 269 × 109/L. Pelvic ultrasound confirmed the presence of a

Discussion

We describe the identification of a strain of A. odontolyticus isolated from the IUCD of a patient with pyosalpinx by 16S rRNA gene sequencing. Anaerobic Gram-positive non-sporulating rods have often presented problems with identification. In particular, the morphologic, biochemical and microecological characteristics of Actinomyces species appear to be similar to those of Eubacterium species (Hill et al., 1987). In the present case, commercially available kits failed to identify the IUCD

Acknowledgements

This work was partly supported by the University Research Grant Council and Committee of Research and Conference Grants, The University of Hong Kong.

References (26)

  • W.K. Luk et al.

    Inpatient emergencies encountered by an infectious disease consultative service

    Clin Infect Dis

    (1998)
  • G.J. Olsen et al.

    The ribosomal database project

    Nucleic Acids Res

    (1992)
  • G.J. Olsen et al.

    Ribosomal RNAa key to phylogeny

    FASEB J

    (1993)
  • Cited by (46)

    • Identification and diversity of Actinomyces species in a clinical microbiology laboratory in the MALDI-TOF MS era

      2018, Anaerobe
      Citation Excerpt :

      The commercially available chemical identification test kits have proven unreliable due to incomplete and obsolete databases [10,11]. 16S rRNA sequencing has been proven useful in differentiating Actinomyces spp. from non-Actinomyces anaerobic Gram-positive bacilli [7,12,13]. The availability of 16S rRNA sequencing has also led to a dramatic change in the classification of the genus Actinomyces [14].

    • Gene amplification and sequencing for bacterial identification

      2015, Methods in Microbiology
      Citation Excerpt :

      In addition, accurate identification is also crucial for the determination of the choice and duration of antimicrobial agents for treatment as well as the infection control procedures. For example, identifying a bacterial isolate as an Actinomyces species in a case of pelvic inflammatory disease implies that the patient is suffering from pelvic actinomycosis, which requires prolonged antibiotic treatment (Woo, Fung, Lau, Hon, & Yuen, 2002; Woo, Fung, Lau, Teng, et al., 2003). At the population scale, this is important for defining the epidemiology of infectious diseases, antibiotic resistance patterns of bacteria and hence the choice of empiric antimicrobials, as well as outcome and prognosis of the infections.

    • Evaluation of 16SpathDB 2.0, an automated 16S rRNA gene sequence database, using 689 complete bacterial genomes

      2014, Diagnostic Microbiology and Infectious Disease
      Citation Excerpt :

      In view of these problems, we have developed our own database, which included the most representative 16S rRNA sequence of all medically important bacteria listed in the 9th edition of the Manual of Clinical Microbiology (Murray et al., 2007), for identification of medically important bacteria using 16S rRNA sequencing. In the first version of this database, 16SpathDB (Woo et al., 2002b), we sought to create an automated user-friendly platform that indicated the most likely identity of the 16S rRNA sequence of a medically important bacterium and other medically important bacteria with similar 16S rRNA sequences that may be the alternative identity which the user should be aware of. In our preliminary evaluation of 16SpathDB using 91 non-duplicated bacterial isolates collected in our clinical microbiology laboratory, the true identities of which were determined by a combination of phenotypic tests and 16S rRNA sequencing, it was shown that 16SpathDB is an automated, user-friendly, efficient, and accurate database for 16S rRNA sequence interpretation in clinical microbiology laboratories (Woo et al., 2011).

    • Actinomyces graevenitzii bacteremia in a patient with alcoholic liver cirrhosis

      2011, Anaerobe
      Citation Excerpt :

      But, it is so difficult and unreliable to identify Actinomyces by conventional methods [3,8]. Furthermore, many recently discovered species of the genus Actinomyces are not included in most commercial identification systems [14]. So 16S rRNA gene sequencing is needed to precisely identify rare or unusual bacteria.

    View all citing articles on Scopus
    View full text