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The American Journal of Tropical Medicine and Hygiene logoLink to The American Journal of Tropical Medicine and Hygiene
. 2016 Feb 3;94(2):292–298. doi: 10.4269/ajtmh.15-0567

Sri Lankan National Melioidosis Surveillance Program Uncovers a Nationwide Distribution of Invasive Melioidosis

Enoka M Corea 1, Adam J Merritt 1, Yi-Horng Ler 1, Vasanthi Thevanesam 1, Timothy J J Inglis 1,*
PMCID: PMC4751949  PMID: 26621560

Abstract

The epidemiologic status of melioidosis in Sri Lanka was unclear from the few previous case reports. We established laboratory support for a case definition and started a nationwide case-finding study. Suspected Burkholderia pseudomallei isolates were collated, identified by polymerase chain reaction assay, referred for Matrix Assisted Laser Desorption Ionization-Time of Flight analysis and multilocus sequence typing (MLST), and named according to the international MLST database. Between 2006 and early 2014, there were 32 patients with culture-confirmed melioidosis with an increasing annual total and a falling fatality rate. Patients were predominantly from rural communities, diabetic, and male. The major clinical presentations were sepsis, pneumonia, soft tissue and joint infections, and other focal infection. Burkholderia pseudomallei isolates came from all parts of Sri Lanka except the Sabaragamuwa Province, the south central hill country, and parts of northern Sri Lanka. Bacterial isolates belonged to 18 multilocus sequence types, one of which (ST 1137) was associated with septicemia and a single-organ focus (Fisher's exact, P = 0.004). Melioidosis is an established endemic infection throughout Sri Lanka, and is caused by multiple genotypes of B. pseudomallei, which form a distinct geographic group based upon related sequence types (BURST) cluster at the junction of the southeast Asian and Australasian clades.

Introduction

The geographic distribution of melioidosis is in the tropical and subtropical zone, between 30°N and 30°S, with varying prevalence due in part to the limits of public health services. The majority of cases have been reported from Thailand, northern Australia, Malaysia, and Singapore. Sri Lanka lies in the melioidosis-endemic belt between 5°N and 10°N surrounded by countries known to have endemic melioidosis and has a similar climate and environment. Despite this, very few cases of endemic infection have been reported. Melioidosis was first reported from Sri Lanka (formerly Ceylon) in 1927 when a European tea broker developed the infection.1 Sri Lanka was described as melioidosis endemic in 1971, based on this single case.2 A seroepidemiological survey shortly afterwards concluded that melioidosis was not a public health threat.3 The international Burkholderia pseudomallei collection of multilocus sequence types (STs) includes a single ST (ST 421) isolated from a Belgian international traveler who had previously visited Sri Lanka.4 By 2005, Sri Lanka was no longer considered to have endemic melioidosis.5 Subsequent reports of endemic infection from south India,6 and sporadic fatal infections in Sri Lanka raised the possibility that melioidosis was reemerging in parts of Sri Lanka.7,8 Melioidosis is commonest among rural populations at risk of exposure to the causal agent, B. pseudomallei, which is a saprophytic soil bacterium. The wide range of clinical manifestations of melioidosis has no characteristic presentation so that recognition depends heavily on laboratory confirmation by isolation of B. pseudomallei from clinical specimens. Unless diagnosed and treated early, severe melioidosis is often fatal and may go undetected. After identifying cases in the Central and Western Provinces in 2006 and 2008, we commenced prospective case finding through a World Health Organization laboratory twinning project and began to uncover additional cases.912 Here, we describe the results of that laboratory-based case-finding program: the geographic distribution of invasive melioidosis in Sri Lanka, the principal epidemiologic risk groups, the range of clinical presentations, their outcomes, and corresponding molecular epidemiology.

Materials and Methods

Our methods built on a previous World Health Organization laboratory twinning project, during which we established a laboratory case definition.9

Clinical case finding.

Presumptive cases were identified through a national clinical microbiology network representing the major government and teaching hospitals in Sri Lanka. Suspected B. pseudomallei isolates (oxidase-positive, gram-negative bacilli resistant to gentamicin) were prospectively collected from cases of septicemia, pneumonia, or deep abscesses and reported to the Department of Microbiology, University of Colombo between 2008 and early 2014. Occasional gentamicin-sensitive isolates resembling B. pseudomallei were identified by preliminary bacteriology procedures (see below). These isolates were maintained in glycerol brain heart infusion broth at −70°C.

Bacteriological methods.

Primary isolation relied on conventional culture techniques for blood and other sterile fluids, tissue, and occasional soft-tissue specimens from patients with focal pyogenic infection. Bacterial isolates that were oxidase positive, gentamicin-resistant (and occasionally gentamicin-sensitive), and gram-negative bacilli were forwarded to a laboratory in Colombo, where they were subcultured to establish pure growth and maintained at −70°C for subsequent definitive tests. We deployed a portable molecular laboratory to Colombo in 2012 to screen presumptive isolates with real-time polymerase chain reaction (PCR) assays for B. pseudomallei-specific sequences. Confirmed B. pseudomallei were then transferred to Perth, Western Australia for detailed characterization. Isolates were sent as suspensions of bacteria in sterile water and duplicated in nutrient agar-embedded bacteriology swabs. Shipment was made in accordance with United Nations (UN) hazardous goods regulations and importation completed via an accredited Australian Quarantine Inspection Service laboratory. The Western Australian Public Health Laboratory then confirmed the identity of all isolates by Matrix Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) mass spectrometry and real-time PCR assays for LpxO gene and type three secretion system (TTSS) targets.1315 Confirmed B. pseudomallei were also subjected to biogeographic attribution PCR assays for Yersinia-like fimbrial (YLF) and Burkholderia thailandensis-like flagellum and chemotaxis (BTFC) gene clusters.16

Molecular epidemiology.

MLST was performed as previously described.17 For each locus, sequencing was performed in both directions on a 3130xl sequencer using BigDye v3.1 chemistry (Applied Biosystems, Foster City, CA).

Ethics approval.

Ethics approval for the study was obtained from the Ethics Review Committee, Faculty of Medicine, at the University of Peradeniya.

Geographic analysis, biostatistics, and bioinformatics.

Physical and human geographic data were obtained from the Survey Department, Government of Sri Lanka. Statistical analysis was performed with Prism 6.0 (GraphPad, San Diego, CA). MALDI-TOF mass spectra were analyzed using proprietary software (Biotyper; Bruker Daltonic GmbH, Bremen, Germany), the manufacturer's bacterial database and an extended in-house Burkholderia species reference library.13 MLST ST profiles were analyzed and displayed using goeBURST with single-locus variants (SLVs) selected.18 Available STs and country of origin were obtained from the MLST website and details filled in from original descriptions. Isolates of unknown origin were removed from the data set except for American Type Culture Collection (ATCC) ATCC 23343 (ST 516) and 145/02 (ST 749). Recurring isolate names were either deleted for duplicate entries or differentiated by an additional character. Isolates were sorted using the UN geoscheme with the exception of Sri Lanka isolates, which were retained as a separate group. STs, which appeared in more than one sub-region, were assigned to a multi-region group. Nucleotide diversity, divergence and differentiation analysis, was performed with DNAsp V5.1 on concatenated sequences.19 Population structure was investigated using the Structure 2.3.4 with settings as previously described.20,21

Results

We identified 32 cases of culture-confirmed severe melioidosis in Sri Lanka between 2006 and March 2014. The range of clinical presentations included localized unifocal, multifocal, or septicemia and combinations of these (Table 1). The culture-positive case series included 18 cases of septicemia, 20 cases with one or more abscesses, 11 with pneumonia, and six with septic arthritis. The lower limbs were affected in 11 patients.

Table 1.

Clinical presentation, epidemiology, bacteriology, and outcomes of invasive melioidosis in Sri Lanka. The main clinical presentation categories, their corresponding clinical features, Burkholderia pseudomallei genotypes and survival outcomes of culture-positive invasive melioidosis in Sri Lanka

Clinical presentation Age Gender Occupation District, province Exposure Travel Comorbidities Diagnosed Specimen YLF/BTFC MLST Outcome*
Systemic infection with multiple foci (9)
Septic arthritis/encephalitis/sepsis 58 M Unknown Puttalum, North Western Rural, unknown Unknown Diabetes/renal transplant February 2008 Blood YLF 1134 Died
Multiple skin abscesses/multifocal septic arthritis/sepsis 58 F Housewife Kandy, Central Rural construction Unknown None March 2006 Blood/joint fluid YLF 1132 Recovered
Pneumonia/splenic abscess/sepsis 62 M Retired school principal Kurunegala, North Western Rural, rice farming, gardening None Diabetes February 2013 Blood YLF 1136 Recovered/relapsed
Psoas abscess/abdominal muscle abscess/pneumonia/sepsis 44 M Policeman Galle, Southern Rural, active service None Diabetes September 2013 Blood YLF 1136 Recovered
Psoas abscess/chest wall abscess/sepsis 29 M Builder Gampaha, Western Rural, construction None Diabetes December 2011 Pus/blood YLF 1137 Recovered
Skin and soft tissue abscess/sepsis 59 M Garage mechanic Kurunegala, North Western Urban, construction None Diabetes July/August 2012 Blood BTFC 1139 Recovered
Splenic abscess/septicarthritis/sepsis 54 M Trishaw driver Kalutara, Western Rural, rice farming/gardening Kuwait Diabetes/liver disease March 2013 Blood/joint fluid YLF 1140 Recovered/relapsed
Liver abscess/septic arthritis/sepsis 31 M Builder Hambantota, Southern Rural, construction, river bathing None Diabetes/alcoholism December 2013 Blood/joint fluid BTFC 1143 Recovered/relapsed
Chronic liver disease/splenic abscess/sepsis 48 M Physician Kandy, Central Suburban, flood exposure None None March 2014 Blood YLF 1147 Recovered
Systemic infection with single-organ focus (7)
Pneumonia/sepsis 26 F Housewife Badulla, Uva Rural, unknown Unknown Diabetes November 2007 Blood YLF 1133 Died
Pneumonia/sepsis 80 M Farmer Matara, Southern Rural, rice farming None Alcoholism October 2012 Blood YLF 1137 Died
Pneumonia/sepsis 79 M School principal Hambantota, Southern Rural, gardening Unknown None December 2012 Blood YLF 1137 Died
Psoas abscess/sepsis 37 F Housewife Anuradhapura, North Central Rural, unknown Unknown Diabetes May 2010 Psoas abscess/blood YLF 1137 Died
Pneumonia/sepsis 62 M Farmer Kandy, Central Rural, rice farming None COPD* December 2012 Blood YLF 1135 Recovered
Pneumonia/lung abscess/sepsis 53 F Housewife Gampaha, Western Urban, unknown Unknown Diabetes June 2010 Blood YLF 1137 Recovered
Liver abscess/sepsis 40 M Policeman Galle, Southern Rural, active service, rice farming None Diabetes July 2013 Blood YLF 1140 Recovered
Systemic infection with no localized focus (2)
Sepsis 45 M Unknown Colombo, Western Suburban Unknown Alcoholism November 2008 Postmortem blood YLF 1135 Died
Sepsis 63 M Civil defense Ampara, Eastern Rural, active service, cultivation None Lepromatous Leprosy January 2014 Blood YLF 1144 Recovered
Multifocal tissue infections without systemic infection (5)
Liver abscess/splenic abscess 32 M Farmer Badulla, Uva Rural, rice farming Unknown Diabetes September 2011 Liver abscess BTFC 1138 Died
Pneumonia/pericardial effusion 40 F Unknown Gampaha, Western Unknown Unknown Diabetes September 2013 Pericardial fluid YLF 1142 Died
Pneumonia/liver abscess/pleural effusion 15 F Schoolgirl Moneragala, Uva Rural, unknown None Thalassaemia December 2012 Pleural aspirate YLF 1148 Recovered
Pneumonia/septic arthritis 50 M Farmer Mullaitivu, Northern Rural, rice farming None Diabetes/alcoholism January 2013 Joint fluid YLF 202 Recovered
Muscular abscess/osteomyelitis/septic arthritis/liver abscess 61 M Farmer Puttalum, North Western Rural, rice farming, river bathing None Diabetes January 2014 Muscular abscess YLF 1145 Recovered/relapsed
Single-organ focus without systemic infection (9)
Liver abscess 27 M Soldier Ampara, Eastern Rural, active service Unknown Diabetes July/August 2011 Postmortem liver abscess YLF 1135 Died
Psoas abscess 50 M Farmer Gampaha, Western Rural, rice farming None Diabetes August 2011 Psoas abscess YLF 1132 Recovered/relapsed
Liver abscess 34 M Business man Kurunegala, North Western Urban, mower repair None Diabetes December 2011 Liver abscess YLF 1135 Recovered
Psoas abscess/transverse myelitis 21 M Driver Polonnaruwa, North Central Rural, unknown Unknown None December 2011 Psoas abscess YLF 1136 Paraplegia
Cervical lymphadenitis/pharyngitis 11 M Schoolboy Badulla, Uva Rural, unknown None None July 2009 Cervical node aspirate YLF 1136 Recovered
Inguinal lymphadenitis 53 F Business woman Puttalum, North Western Rural, unknown None Diabetes March 2013 Inguinal lymph node pus BTFC 1139 Recovered
Cavitating pneumonia 25 M Insurance salesman Gampaha, Western Urban, unknown None Diabetes June 2013 Sputum YLF 1141 Recovered
Cerebral abscess 16 F Schoolgirl Gampaha, Western Rural, rice farming None Severe dengue August 2013 Cerebral abscess YLF 1142 Recovered
Liver abscess 9 F Schoolgirl Puttalum, North Western Rural, river bathing None Thalassaemia February 2014 Liver abscess YLF 1146 Recovered

BTFC = Burkholderia thailandensis-like flagellum and chemotaxis; COPD = chronic obstructive pulmonary disease; F = female; M = male; MLST = multilocus sequence typing; YLF = Yersinia-like fimbrial.

*

MLST genotype of B. pseudomallei.

At-risk groups.

The majority of cases (72%) were male and ranged from 9 to 80 years (median, 41–50 years). The predominant comorbidity was diabetes (63%). Other recognized comorbidities were alcoholism (5%), liver disease (1%), chronic obstructive pulmonary disease (1%), kidney disease (1%), and thalassemia (2%). The majority of cases (25/32: 78%) lived in rural areas, six were rice farmers and a further six engaged in gardening or subsistence cultivation. Service personnel belonging to the army, police, or civil defense (4%) and construction workers (2%) were represented among the affected patients. However, housewives (4%), school children (4%), business people (2%), and the professions (3%) were also represented (Table 1). Travel histories were available for 21/32 patients, only one of which had ever traveled overseas before illness; a male who had worked in the Middle East (in Kuwait) 25 years previously.

Geographic distribution.

Cases were reported from 8/9 provinces and 15/25 districts (Figure 1A , Table 1). The only areas not reporting cases were the hill country (> 500 m above sea level located in the southern wet/intermediate zones) (Figure 1B) the Sabaragamuwa Province, and most of the arid north of the country. We noted an association between culture-positive cases and lowland rice-growing areas (Figure 1C). Cases were notably absent from highland rubber and tea plantation areas.

Figure 1.

Figure 1.

Geographic distribution of invasive melioidosis in Sri Lanka. (A) Location of culture-positive melioidosis cases by year of diagnosis notably absent from the south central hill country including Sabaragamuwa Province and most of the north, (B) distribution of cases by rainfall zones, and (C) by major crops: golden brown = rice, olive = rubber, and pink = tea.

Temporal variation.

Annual culture-confirmed cases increased from one in 2006 to 10 per annum in 2013 (Figure 1A). At least one fatal infection occurred every year from 2007 to 2013, except in 2009 (Figure 2A ). The overall mortality rate was 28% and was not significantly higher in those with positive blood cultures (6/18; 33%). Mortality fell over the course of the study (χ2 test for trend: χ2 = 5.297, P = 0.02). There were 2 monthly peaks in cases corresponding to the highest seasonal rainfall as recorded closest to the single largest geographic case cluster (Figure 2B; Pearson correlation coefficient r = 0.724, P = 0.008). Cases and deaths occurred throughout the year, with an October annual peak in culture-positive cases during the study period, coinciding with the highest monthly rainfall in Western Province (Figure 2: seasonal variation).

Figure 2.

Figure 2.

Temporal distribution of invasive melioidosis in Sri Lanka. (A) Annual total of culture-positive melioidosis cases (light gray) showing decline in mortality (dark gray) during study (χ2 trend, 2 df, P = 0.02); * = World Health Organization training workshop. (B) Culture-positive melioidosis cases from 2006 to 2014 by month, superimposed on average monthly rainfall recorded near International Airport, showing correlation between peak monthly rainfall and case total (Pearson; r = 0.724, P = 0.008).

Bacteriology.

All B. pseudomallei isolates were polymyxin resistant and co-amoxyclav sensitive. One isolate was gentamicin sensitive (minimum inhibitory concentration; 6 μg/mL) and one was oxidase negative. The appearance of bacterial colonies varied from rough (25) to smooth (4) and overtly mucoid (3). MALDI-TOF and real-time PCR assays for lpxO and TTSS confirmed the identity of B. pseudomallei, including the rare gentamicin-sensitive and oxidase-negative isolates. The majority of isolates (28) belonged to the southeast (SE) Asian biogeographic YLF variant and the remainder (4) belonged to the Australian BTFC variant. MLST genotyping demonstrated a range of 18 STs with no evidence of clustering by year. Six different STs were associated with fatal infections, 15 with nonfatal infection, 13 with multisystem infection, and 10 with a single-organ focus. There was no genotypic association between ST and tissue or organ system tropism (Table 1). The commonest genotype was ST 1137, which was isolated from five patients, all of whom had bloodstream infections. Three of these were fatal. ST 1137 B. pseudomallei more commonly caused septicemia associated with a single-organ focus than non-septicemic, single-organ infection (Fisher's exact test, P = 0.02), and was also isolated more frequently from bacteremic infections associated with a single-organ focus than from all other types of presentation (Fisher's exact, P = 0.004). The goeBURST analysis with groups defined at SLV level resulted in STs 202, 1141, and 1135 appearing in a section of the tree dominated by Oceania STs, whereas ST 1133 appeared in a predominantly southeastern Asia ST section. However, STs 1132, 1134, 1136, 1137, 1140, 1145, 1146, and 1147 formed a tighter Sri Lanka predominating cluster at the junction of the Oceania/SE Asia sections (Figure 3 ). ST 1143 was closely associated with, but separate from the Sri Lankan ST cluster. STs 1148, 1144, 1142, 1139, 1138, and the previously documented ST 421 were not linked with any other STs. The only Sri Lankan ST reported from another region was ST 202 with two entries describing isolation from invasive melioidosis cases in Thailand (IDs 354 and 518). Global population structure was as described by Pearson and others,21 however, for K = 2, 37% of Sri Lankan STs were not strongly associated with either inferred population (< 90% assignment). Nucleotide diversity (π) for these Sri Lankan isolates was 0.00124 compared with 0.00253 for the rest of world population. Measures of divergence and differentiation between the Sri Lankan and the rest of world populations were DXY = 0.00252 and FST = 0.246. Comparison with isolates from individual geoscheme subregions identified minimum DXY and FST with south central Asian isolates of 0.00209 and 0.273, respectively. Closer focus on the Sri Lankan cluster produced an even lower π and FST of 0.00069 and 0.362, respectively, when compared with the rest of world population. Genetic differentiation estimates between this subpopulation and the rest of world produced test statistics with P values all less than 0.001. Binomial analysis with P = 0.017 (Sri Lankan STs/total STs), n = 18 (Sri Lankan STs), and K = 8 (Sri Lankan STs in cluster) produced a P (X = 8) of 2.62e-10.

Figure 3.

Figure 3.

goeBurst multilocus sequence typing clustering of all logged/available/curated/entered Burkholderia pseudomallei sequence types (STs). Grouping was performed at single-locus variant level. Green oval, blue oval, and red oval delineate Oceania, southeast Asia, and Sri Lanka ST dominant regions of the tree, respectively.

Discussion

This nationwide investigation of melioidosis in Sri Lanka uncovered a wide geographic distribution of culture-confirmed cases, particularly in rice-growing rural areas surrounding the hill country in the southwest of the island. MLST genotyping revealed 18 different STs with few new alleles, consistent with an established endemic infection. The predominance of the SE Asian YLF biogeographic marker and lower phylogenetic divergence and differentiation measurements with south central Asian isolates supports an Asian origin of the infection. A cluster of Sri Lankan genotypes appears in a new, strongly region-specific branch of the BURST tree close to the intersection between Oceania (including Australian) and SE Asian type-dominated regions of the tree. The reduced diversity of Sri Lankan isolates is consistent with the region-specific BURST cluster and is further supported by significant genetic differentiation and a nonrandom result from binomial analysis. International introduction and recently recognized homoplasy in the MLST scheme may have contributed to the STs in the Oceania and SE Asia dominated branches of the BURST tree, as well as the multiregional distribution of ST 202.22 However, since most Sri Lankans travel overseas only on pilgrimage to the north of India or for work in the Middle East, introduction from other regions is unlikely. The high fatality rate during the early part of this study supports the “tip of the iceberg” concept of melioidosis first used in connection with SE Asia, a possible result of under-diagnosis.23 We used technical workshops, seminars, and a continuing educational program to increase case detection through physician, clinical scientist, and pathologist awareness including recognition of rare phenotypes such as the mucoid, gentamicin-sensitive, and oxidase-positive variants. Though the mortality rate appears to have fallen, this may reflect increased detection of localized soft tissue infection before the onset of septicemia, and early application of effective antimicrobial therapy. The association of ST 1137 with septicemia and a single-organ focus, rather than a more quiescent multifocal pyogenic infection is intriguing, and warrants further investigation in view of the relatively small numbers in ST-specific subgroups in this study. Though there were remarkably few new MLST genotype alleles from this collection of 32 distinct B. pseudomallei isolates, the allele combinations that comprise the MLST STs are distinct from other clinical isolates in the international B. pseudomallei database. Furthermore, the commoner STs such as ST 1137 and ST 1135 are dispersed over the island with no evident geographic or temporal clustering. These genotypic features argue against a single-point source that might be amenable to environmental control measures.24 In the absence of bacteriological evidence for a single introduction or point source, the only guidance for disease control comes from descriptive epidemiology. In Sri Lanka, melioidosis is an infection of rural populations. Small-scale rice farming, subsistence agriculture, and gardening are common; food security is high and prosperity is increasing. Males, farmers, and patients with diabetes are well represented in our series of culture-positive melioidosis cases. The notable frequency of lower limb lesions such as psoas abscess and septic arthritis are likely consequences of a barefoot lifestyle, common throughout Sri Lanka, where traditional rice farming methods are still widely used. Small-scale rice cultivation by barefoot farmers accounts for up to one third of these cases. A notable geographic gap is in the north of the country. This may be due to the lack of clinical microbiology services in this region, though one culture-positive case was confirmed in Mullaitivu. In contrast, a lack of clinical laboratory services cannot be used to explain the apparent absence of culture-positive melioidosis in the southcentral hill area, where rubber and tea plantations predominate and no melioidosis has been detected to date. These forms of agriculture require much less contact with soil, and plantations are located on well-drained slopes. The majority of culture-positive cases reported in the present series reside in an intermediate rainfall zone where the monthly rainfall at a nearby weather monitoring station correlates with the monthly case total, echoing a similar observation from the Northern Territory of Australia.25

The epidemiology of melioidosis has been compared with an iceberg, since the majority of cases are hidden from view.23 Starting with the World Health Organization's laboratory capability-building program, clinical laboratory molecular technology has been introduced to Sri Lanka with a deployable molecular laboratory,9 and a national melioidosis surveillance program has since been established. Laboratory capacity building in other parts of Sri Lanka will strengthen melioidosis surveillance, particularly where culture-positive cases have not yet been detected. Continued MLST genotyping studies, supplemented by whole genome sequencing, are needed to investigate the association between ST 1137 and septicemic melioidosis with a single-organ focus, and to analyze the Sri Lankan branch of the B. pseudomallei BURST tree. In conclusion, melioidosis should be considered endemic throughout Sri Lanka. Male patients with diabetes from rural communities who go about barefoot are at particular risk.

ACKNOWLEDGMENTS

We are grateful to our colleagues Michael Wise and David Ravine for their advice on MLST data analysis and to the staff of the WHO Lyons office for their support and advice. The early stages of this study were supported in part by the World Health Organization laboratory capability-building twinning program, and the mobile laboratory equipment used in Sri Lanka was loaned by Lab Without Walls Inc.

Footnotes

Financial support: The initial stage of this work was supported by a project grant from the World Health Organization laboratory capability-building twinning program, and matched by PathWest Laboratory Medicine WA.

Authors' addresses: Enoka M. Corea, Department of Microbiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka, E-mail: enokacorea@hotmail.com. Adam J. Merritt, Yi-Horng Ler and Timothy J. J. Inglis, Department of Microbiology, PathWest Laboratory Medicine WA, Nedlands, Australia, E-mails: adam.merritt@health.wa.gov.au, yihorng.ler@health.wa.gov.au and tim.inglis@health.wa.gov.au. Vasanthi Thevanesam, Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka, E-mail: vasanthi.thevanesam@yahoo.com.

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