Mycobacterium ulcerans is the causative agent of the necrotizing skin disease Buruli ulcer (BU), which has been reported from over 30 countries worldwide. The majority of notified patients come from West African countries, such as Côte d’Ivoire, Ghana, Benin and Cameroon. All clinical isolates of M. ulcerans from these countries are closely related and their genomes differ only in a limited number of single nucleotide polymorphisms (SNPs).
We performed a molecular epidemiological study with clinical isolates from patients from two distinct BU endemic regions of Cameroon, the Nyong and the Mapé river basins. Whole genome sequencing of the M. ulcerans strains from these two BU endemic areas revealed the presence of two phylogenetically distinct clonal complexes. The strains from the Nyong river basin were genetically more diverse and less closely related to the M. ulcerans strain circulating in Ghana and Benin than the strains causing BU in the Mapé river basin.
Our comparative genomic analysis revealed that M. ulcerans clones diversify locally by the accumulation of SNPs. Case isolates coming from more recently emerging BU endemic areas, such as the Mapé river basin, may be less diverse than populations from longer standing disease foci, such as the Nyong river basin. Exchange of strains between distinct endemic areas seems to be rare and local clonal complexes can be easily distinguished by whole genome sequencing.
Buruli ulcer (BU) is a progressively necrotizing disease of the skin, caused by infection with Mycobacterium ulcerans. BU occurs very focally with highest incidence in West Africa. The mode of transmission and the nature and role of potential environmental reservoirs are currently not entirely understood. In this study we sequenced whole genomes of sets of M. ulcerans case isolates from two BU endemic regions in Cameroon. We identified two distinct phylogenetic lineages, which directly correlated with the two endemic regions. Furthermore, we showed that the genetic diversity of M. ulcerans is higher in the older endemic region of Cameroon (Nyong river basin) compared to the more recently emerged infection focus in the same country (Mapé river basin). Together, our results demonstrate that M. ulcerans is developing local clonal complexes by the accumulation of single nucleotide polymorphisms (SNPs) and that these complexes often remain confined to individual endemic foci. The gene encoding for rpoB, which is known to harbour drug resistance mutations against rifampicin in M. tuberculosis, was not affected by SNPs in any of the analysed M. ulcerans strains.
Citation: Bolz M, Bratschi MW, Kerber S, Minyem JC, Um Boock A, Vogel M, et al. (2015) Locally Confined Clonal Complexes of Mycobacterium ulcerans in Two Buruli Ulcer Endemic Regions of Cameroon. PLoS Negl Trop Dis 9(6): e0003802. https://doi.org/10.1371/journal.pntd.0003802
Editor: Christian Johnson, Fondation Raoul Follereau, FRANCE
Received: February 12, 2015; Accepted: April 29, 2015; Published: June 5, 2015
Copyright: © 2015 Bolz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: Medicor Foundation, the Volkswagen Foundation and the Stop Buruli Consortium supported by the UBS Optimus Foundation funded elements of this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Buruli ulcer (BU), the third most common mycobacterial disease affecting humans after tuberculosis and leprosy, is caused by Mycobacterium ulcerans . The disease is characterized by progressive necrosis of the skin and subcutaneous tissue, leading to sometimes extensive ulcerations. Even though standard antibiotic treatment for eight weeks with rifampicin and streptomycin, as it is currently recommended by the World Health Organization (WHO), is highly effective in killing the bacterium, quite a number of patients still require surgery for wound debridement and/or skin grafting and can remain with scarring and disabilities . BU has been reported from over 30 countries worldwide but has its highest incidence in West Africa, where it occurs very focally in rural areas, which are associated with wetlands, marshes and riverine zones .
The distinct pathology of M. ulcerans infections is mainly attributed to mycolactone, a macrolide exotoxin produced by the mycobacteria . Mycolactone is highly toxic to mammalian cells and is also believed to have immunomodulatory functions . The polyketide synthases required to produce this potent toxin are encoded as three large genes on a giant virulence plasmid, pMUM001, whose acquisition represents a crucial step in the divergence of M. ulcerans from its progenitor M. marinum [6,7]. Further hallmarks of M. ulcerans evolution include the proliferation of two distinct insertion sequence (IS) elements (IS2404 and IS2606), the accumulation of a large number of pseudogenes and considerable genome downsizing. These findings indicate that M. ulcerans has recently passed through an evolutionary bottleneck and is adapting to a new and more stable environment . This new niche is suspected to be aerobic, osmotically stable, dark and possibly extracellular. Production of the immunosuppressive toxin mycolactone and the loss of a set of highly immunogenic proteins  may represent an adaptation to an environment that is screened by an immune system.
Possums, an Australian marsupial species, seem to be especially susceptible to the disease and may function as an animal reservoir in BU endemic foci of Victoria, Australia. However, attempts to identify an animal reservoir in Africa have not been successful to date [9,10]. Therefore it is assumed that there may be other environmental reservoirs of M. ulcerans in association with stagnant water bodies. Contact with such wetlands is a known risk factor for contracting BU, and patients may become infected through microtrauma of the skin or inoculation by an unknown insect vector . M. ulcerans DNA has been detected by IS2404 specific PCR in environmental samples, but the cultivation of the slow growing mycobacteria from such samples is exceptionally difficult and has only succeeded once so far [11,12]. Therefore it remains unclear what relevance the presence of DNA in the environment has and how M. ulcerans is transmitted. For a long time the highly clonal population structure of M. ulcerans represented a major obstacle for molecular epidemiological studies. Conventional typing methods such as restriction fragment length polymorphism, multilocus sequence typing and variable number tandem repeat analysis provide insufficient resolution . To date the best typing resolution was attained with single nucleotide polymorphism (SNP) typing assays . With this method Röltgen et al. were able to demonstrate focal transmission in the Densu river basin of Ghana . Furthermore, with an extended set of SNPs sufficient phylogenetic signal could be obtained to reconstruct recent evolutionary events in M. ulcerans on a continental scale . A drawback of this method is, however, that it requires prior knowledge of the relevant SNPs.
With its decreasing costs, whole genome sequencing (WGS) is now replacing SNP typing for M. ulcerans. Here we report on a genomic epidemiological study aimed at inferring evolutionary patterns of M. ulcerans in two BU endemic regions of Cameroon (the Mapé and the Nyong river basins) by using WGS combined with fine-scale geographic information on the origin of the patients from which the M. ulcerans strains were isolated.
Materials and Methods
Ethical statement and patient recruitment
Samples for this study were collected from patients recruited between August 2010 and July 2012 in the Mapé river basin of Cameroon  and at the district hospital in Ayos in southern Cameroon . Ethical clearance for the collection and processing of samples was obtained from the Cameroon National Ethics Committee (N°041/CNE/DNM/09, N°006/CNE/SE/2010, and N°172/CNE/SE/2011), the Ethics Committee of the Heidelberg University Hospital, Germany (N°ISRCTN72102977) and the Ethics Committee of Basel (EKBB, reference n. 53/11). Participation was voluntary and all patients who participated in the study or their legal guardian provided written informed consent.
M. ulcerans cultivation
Prior to the start of medical treatment, cotton swabs were collected from each patient for diagnosis of M. ulcerans disease by quantitative polymerase chain reaction (qPCR) targeting the M. ulcerans specific IS2404  and for cultivation of the bacteria. Wound exudates in phosphate buffered saline (PBS), that were produced from cotton swabs for DNA extraction as described by Lavender and Fyfe , were decontaminated as described by Bratschi et al.  and cultures initiated on Löwenstein-Jensen (LJ) medium slants (with glycerol; Becton Dickinson and Company) and/or LJ medium slants supplemented with 2% PANTA. Inoculated cultures were incubated at 30°C until growth could be observed. Detected growth was confirmed to be M. ulcerans by colony PCR using primers MU154 (5’-ggcagttacttcactgcaca-3’) and MU155 (5’-cggtgatcaagcgttcacga-3’) and amplification for 32 cycles of 30 seconds at 94°C, 30 seconds at 60°C and 1 minute at 72°C. PCR products were resolved in a 1.5% agarose gel. Confirmed M. ulcerans cultures were expanded on 7H10 agar plates (Becton Dickinson and Company) until enough bacteria could be harvested for DNA extraction as described below.
M. ulcerans DNA for WGS was extracted as described by Käser et al. . Briefly, M. ulcerans bacteria were transferred from 7H10 agar plates into a 1.5ml screw-cap tube and suspended in lysis buffer (15% sucrose, 50 mM Tris (pH8.5) and 50 mM EDTA). After Incubation with lysozyme for 1h at 37°C, sodium dodecyl sulfate (SDS) and proteinase K (PK) were added and the bacteria lysed with a tissue homogenizer (Precellys24, Bertin Technologies) in tough micro-organism lysis tubes containing beads (Bertin Technologies). DNA from lysate supernatant was extracted by the Phenol-chlorophorm / Ethyl alcohol (EtOH) method . Amount and purity of the extracted mycobacterial DNA was assessed with a Qubit 2.0 Fluorometer according to the manufacturer’s protocol (Qubit dsDNA HS Assay Kit, Invitrogen).
Whole genome sequencing
All processing and sequencing of genomic DNA was performed by the core sequencing teams at the Wellcome Trust Sanger Institute. All samples were sequenced as multiplexed libraries using Illumina HiSeq 2000 analyzers on 75-bp paired-end runs as described by Harris et al. .
Read alignment and SNP detection
Variation, in the form of SNPs, was detected using a mapping approach. The paired-end Illumina reads were mapped against the M. ulcerans reference genome of the strain Agy99 (accession number CP000325) and against the M. ulcerans Agy99 pMUM001 plasmid, with an insert size ranging from 50 to 400 bp using SMALT version 0.7.4 (http://www.sanger.ac.uk/resources/software/smalt/) with a word length of 13 and skip size of 1. The maximum insert size was 1000, the minimum insert size was 50, resulting, on average, in a 25x depth coverage for more than 92.1% of the reference genome. The default mapping parameters recommended for reads were employed, except for the minimum score required for mapping, which was increased to 30 to make the mapping more conservative. Candidate SNPs were identified using SAMtools  mpileup as previously described . Base calls for all isolates were filtered to remove those at sites with a SNP quality score below 30, where the called based was in less than 75% of mapped reads on each strand, or where fewer than two reads mapped to each strand. SNPs called in repetitive regions of the M. ulcerans reference genome (737,280 bp) were excluded from the analysis and only the SNPs mapped in the core genome (4,894,326 bp) were used to construct the phylogenetic tree. Repetitive regions were defined as exact repetitive sequences of ≥20 bp in length, identified using rep repeat-match . If 10% of the genomes under study had an ambiguous base in a called SNP, these positions were removed from the analysis. The information on the potentially problematic regions is provided in S1 Table.
A maximum-likelihood phylogenetic tree was generated from the whole genome sequences based on the SNPs called by SMALT. Published M. ulcerans genomes from strains isolated in Ghana (NM14_01, NM49_02, NM54_02, NM43_02, Agy99), Benin (Mu_06–3845, Mu_06–3846, Mu_07–1082) and the M. marinum genome (Mu_06–3844) of an isolate from Belgium were included in the analysis . The M. marinum genome was used to root the tree. In total 91 strains were included in this study (S2 Table). Separate maximum-likelihood trees for the plasmid and the chromosome were reconstructed based on one M. marinum genome and 53 M. ulcerans genomes. The M. ulcerans genomes include 45 Cameroonian isolates with each patient being represented by one strain. Maximum-likelihood phylogenetic trees were constructed using RAxML v7.0.4 und a general time-reversible (GTR) substitution model with γ correction for among-site rate variation. Support for nodes on the trees was assessed using 100 bootstrap replicates.
SNP pairwise distance
To compute the pairwise distance based on the genome wide SNP count between the isolates we used MEGA6 . The average pairwise SNP distances per genome within the lineages were plotted using software package R (http://www.r-project.org/) and statistical significance was assessed by applying the Wilcoxon rank sum test.
Genetic diversity was assessed by calculating the average pair-wise nucleotide differences per site (Pi) for both main lineages of M. ulcerans in Cameroon, using the program VariScan . We calculated the nucleotide diversity for 1.5 kb non-overlapping windows.
Median joining networks
We produced two median joining networks using Network 188.8.131.52 , based on 107 variable nucleotide positions from 34 isolates of the Mapé river basin and 117 variable nucleotide positions from 11 isolates of the Nyong river basin. For the analysis of the association between geographic and genetic distances of the sampled populations we performed a Mantel test using the function “mantel” asking for the Pearson’s product –moment correlation with 999 permutations in the R package “vegan” . We did this for two sets of matrices, a smaller subset of 11 samples corresponding to the Nyong isolates, and the entire set of 33 samples corresponding to the Mapé isolates.
M. ulcerans phylogeny in Cameroon
We sequenced the genomes of 82 M. ulcerans strains isolated from 45 IS2404 qPCR confirmed Cameroonian BU patients. Patients were identified between 2010 and 2012 and came from two geographically separated BU endemic regions of Cameroon, the Mapé and the Nyong river basins. Prior to treatment, ulcerative lesions were sampled with a cotton swab for laboratory confirmation of the clinical diagnosis, primary isolation of the disease causing organism and WGS of the isolated M. ulcerans strains.
The mapping of the obtained Illumina sequencing reads against the reference strain resulted in an average coverage of 380 reads per position per genome. We reconstructed the phylogenetic relationship among 45 Cameroonian (one strain per patient), five Ghanaian and three Beninese M. ulcerans isolates based on 26,740 variable nucleotide positions, rooting the tree using a published M. marinum genome (Fig 1). The phylogenetic tree showed a very strong geographical structure. The chromosome tree of the Cameroonian M. ulcerans isolates showed two distinct lineages, the first one containing all the Nyong river basin isolates (Nyong lineage) and the second one all the isolates from the Mapé region (Mapé lineage). The Mapé river basin isolates were more closely related to a set of published genomes  of Ghanaian and Beninese isolates that we included in the analysis, than to the Nyong lineage. The two Cameroonian clonal complexes differed in altogether 828 SNPs shared by all members of the respective lineages (Fig 1).
Maximum-likelihood phylogenetic tree based on 26,740 variable nucleotide positions across 53 M. ulcerans strains by RAxML. The tree was rooted using M. marinum (Mu_06–3844) as outgroup. The geographical origin of the strains is indicated to the right of the tree and branches are coloured according to the region of isolation of the strains. Bootstrap values higher than 50% are shown along the branches. The insert shows the pMUM plasmid SNP tree based on 21 SNPs with the topology matching the corresponding chromosome-based tree.
The plasmid phylogeny reflected the topology of the M. ulcerans chromosome phylogenetic tree (Fig 1), supporting the hypothesis of a unique acquisition of the plasmid during the emergence of M. ulcerans  followed by parallel evolution between the chromosome and the plasmid.
Genetic diversity among the Cameroonian isolates
We analysed the genetic diversity within the two Cameroonian geographical lineages separately (Fig 2). The genetic diversity observed for the Nyong river basin isolates (median pairwise SNP difference = 26.2 SNPs) was significantly higher (p-value < 0.0001) than for the Mapé basin isolates (median pairwise SNP difference = 7.6 SNPs). Furthermore, an analysis of the pairwise geographic distance of seven isolates from the Eastern Nyong river basin (approximately 1090 km2) and of four isolates from Western Nyong (approximately 625km2) still yielded values that were higher (median 24 and 36 pairwise SNP difference) than for the Mapé isolates (Fig 2). The higher genetic diversity thus does not seem to be related to the broader geographical distribution for the Nyong river basin isolates (approximately 8600 km2) compared to the Mapé river basin isolates (approximately 6400 km2) (Fig 3A2 and 3B2). These results were also reflected in the phylogenetic tree, where branch lengths were longer for the Nyong river basin strains than for the Mapé river basin isolates (Fig 1). The gene encoding for rpoB, which is known to harbour drug resistance mutations against rifampicin in M. tuberculosis , was not affected by SNPs in any of the M. ulcerans strains analysed here.
The variation in the average SNP pairwise distance per genome for each lineage (Mapé and Nyong river basin strains) is shown in a box plot, with circles representing outlier sequence pairs. Two sub-areas of the Nyong river basin: the Eastern Nyong river basin and Western Nyong river basin, which are each smaller than the Mapé river basin area, are additionally shown. Statistical significance was assessed with the Wilcoxon rank sum test.
Detailed information about the places of residence of the patients for the year before the onset of BU disease was collected from all patients from whom M. ulcerans was isolated. Micro-evolutionary diversity of M. ulcerans at the two BU endemic sites is shown in panel A1 (Mapé river basin) and panel B1 (Nyong river basin). Median joining networks using 117 variable single nucleotide positions among whole genome sequences of M. ulcerans isolates from the Mapé river basin and 107 positions in isolates from the Nyong river basin area are depicted. Branch lengths correspond to the number of SNP differences, circle sizes correspond to the number of isolates and circle colours correspond to the sub-clusters defined. Black circles indicate median vectors (mv) and are hypothetical genotypes. Panels A2 (Mapé river basin) and B2 (Nyong river basin) show the geographic localization of the patient’s residences with the locations colour coded according to the lineages shown in panel A1 and B1. When isolates of two patients were exactly the same, the respective homes of the patients are connected by a line. Major towns in the areas are indicated by black squares.
When analysing the nucleotide diversity distribution along the chromosome by calculating the average nucleotide pairwise diversity per site (Pi) for both lineages, 99.9% of the genome was found to be highly conserved (S1 Fig). However, the average nucleotide diversity per site for the Nyong river basin lineage was 3.2 times higher than for the Mapé river basin lineage (4.10e-6 versus 1.3e-6). The regions of the genome with higher nucleotide diversity (0.375e-4 and 1.25e-4, respectively) seemed randomly distributed across the chromosome for both lineages (S2 Fig) and the gene content of these regions varied between the two Cameroonian lineages, comprising affected genes of diverse functionalities (S3 Table).
Phylogeographic analysis of the Cameroonian M. ulcerans isolates
In order to analyse the distribution of genetic variants within the endemic areas, we reconstructed median joining networks for the sequenced strains and mapped the places of residence of the patients from which the strains originated (Fig 3).
The network of the Mapé river basin isolates had a star structure with two isolates (BP130 and BP140) at the centre. All the other isolates were connected to this centre and separated by three to nine SNPs. While the SNP distance between the two central strains was zero, the geographical distance between the corresponding residence places of the two corresponding patients was 19.5 km. A total of four clusters were distinguished in the network: blue formed by two isolates, green and yellow formed by three isolates each and the red cluster as a complex structure formed by nine strains. The strains belonging to the red cluster shared two SNPs, the green ones also two SNPs, the yellow ones four and the blue ones shared three SNPs. All the grey strains were not forming clusters and differed by 1 to 11 SNPs from the central strains. In the network of the Nyong river basin isolates we observed only three clusters formed by three (green), seven (red) and one strain (blue). The isolates from the red cluster shared six SNPs, while the isolates from the green one shared only two SNPs. Overall, for both BU endemic areas in Cameroon we did not find a clear correlation between the genetic networks and the geographic distribution of the houses where the patients lived in the year prior to the onset of BU disease (Fig 3). Statistical analysis with the Mantel test for the smaller subset of Nyong samples resulted in a positive and marginally significant correlation between the geographic and genetic distances (r = 0.2785, p-value = 0.054), whereas the test performed for the Mapé set of isolates resulted in a small non-significant negative correlation (r = -0.04774, p-value = 0.676).
Rate of acquisition of SNPs
In the course of this genomic epidemiological study we obtained from three patients isolates from two or three different time points during the course of their disease (Table 1). When comparing the SNP diversity between the isolates from the same patient, only one SNP difference was observed between two sequential isolates (Table 1). The affected gene (MUL_1383) encoded for a hypothetical protein and the detected mutation was synonymous. No SNP difference was observed between two strains isolated from two distant ulcers of one patient (Table 1).
Due to the limitations of conventional typing methods for the differentiation of strains belonging to the highly monomorphic African M. ulcerans population, use of WGS was suggested to reach sufficient analytical depth for molecular epidemiology studies . Here our comparative genomic analysis of strains from two geographically separated BU endemic areas of Cameroon, the Mapé and the Nyong river basins, identified two phylogenetically distinct lineages of M. ulcerans. These data support previous findings that the spread of local clonal lineages between endemic areas only rarely occurs [13,14]. In a previous IS element—SNP based typing study most strains from the central region of Cameroon had the same SNP types as strains from neighbouring Gabon. The IS element—SNP type found in a strain from the Mapé river basin was also present across entire Central and West-Africa leading to the hypothesis that this lineage represents the founder of the other observed IS element—SNP types . Our WGS analysis showed that the strains from the Mapé river basin are in fact more closely related to the M. ulcerans strain circulating in Ghana and Benin than the strains belonging to the Nyong river basin lineage. Additional WGS data with strains from all BU endemic African countries are required to shed more light on the spread and evolution of M. ulcerans in Africa and the origin of the locally observed two distinct Cameroonian lineages.
Analysis of the pairwise SNPs distance and nucleotide diversity distribution revealed a lower genetic diversity among the Mapé river basin strains than among the Nyong river basin strains. Epidemiological data suggest that M. ulcerans has expanded in the Mapé river area more recently than in the Nyong river basin. Descriptions of BU cases in the Nyong river basin exist since 1969 . In contrast, clinically suspected cases of BU in the Mapé river area have been reported first only in 2004 . While the disease may have preexisted there, epidemiological data strongly indicate that BU incidence has recently increased in the Mapé river basin [16,33]. Recent expansion of a clone may thus explain the more limited genetic diversity of the M. ulcerans lineage present in the Mapé river basin. It was speculated, that this expansion was associated with environmental changes caused by the damming of the Mapé river in 1989 [16,33]. Although it has been shown that cases associate more with the Mbam river as opposed to the Mapé dam directly [11,16], damming may have had an indirect effect on groundwater level and stagnant water bodies in the area.
We have compared the genome sequences of strains isolated at different time points over the course of the BU infection of three patients. In only one case, we detected a single SNP in one of the isolates compared to the strain isolated earlier from the same patient. It is not possible to conclude whether this observed single polymorphism is related to a re-infection by a variant strain or to a point mutation that occurred either in the patient or during the in vitro cultivation. However, these data support the expectation of a low mutation rate in M. ulcerans.
Our analysis shows that WGS is an important tool for studying the local diversity and population structure of M. ulcerans in endemic areas and for resolving the evolutionary history of the pathogen. A combination of phylogenetic analysis with geographical information on the patient’s home at the time of disease onset did not reveal a clear distribution pattern of the genetic variants. This may in part be related to the limited resolution of the comparative genomic analysis performed here. Resolution of the WGS typing could be further increased by inclusion of repetitive regions of the genome and the virulence plasmid that we so far excluded from the analysis, such as the IS2404 and PE/PPE regions. On the other hand, our sero-epidemiological analyses have provided evidence that exposure to M. ulcerans does not primarily occur at the homes of patients , but may rather be associated with more peripheral environmental water contact sites. Furthermore, for patients from the Mapé river basin it has been found that many of them move over long distances (in some cases >15 km) from their homes towards the Mbam river for their farming activities [11,16]. For genomic epidemiology studies it may therefore be necessary to establish detailed individual movement and environmental water contact patterns to follow the spatial-temporal spread of genetic variants.
S1 Fig. Distribution of chromosomal nucleotide diversity statistics.
Pi calculated on non-overlapping 1,500 pair sliding windows. Plots were drawn using the R density function.
S2 Fig. Nucleotide diversity (Pi) values along the length of the chromosome.
Chromosomes are represented linearly, using the coordinate system of the respective reference genomes with 0 on the far left (and far right).
S1 Table. Potentially problematic regions for SNP calling identified by repeat-match.
S2 Table. Mapping statistics and metadata for the bacterial isolates used in the study.
Conceived and designed the experiments: MB MWB SK JCM AUB GP ALC. Performed the experiments: MB MWB SK MV PFB TJ ALC. Analyzed the data: MB MWB DB SRH GP ALC. Contributed reagents/materials/analysis tools: MV PFB TJ SRH JP. Wrote the paper: MB MWB DB SRH JP GP ALC.
- 1. Johnson PDR, Stinear T, Small PLC, Pluschke G, Merritt RW, Portaels F, et al. Buruli ulcer (M. ulcerans infection): new insights, new hope for disease control. PLoS Med. 2005;2: e108. pmid:15839744
- 2. WHO | Provisional guidance on the role of specific antibiotics in the management of Mycobacterium ulcerans disease (Buruli ulcer). In: WHO [Internet]. [cited 4 Feb 2014]. http://www.who.int/buruli/information/antibiotics/en/index16.html
- 3. Merritt RW, Walker ED, Small PLC, Wallace JR, Johnson PDR, Benbow ME, et al. Ecology and Transmission of Buruli Ulcer Disease: A Systematic Review. PLoS Negl Trop Dis. 2010;4: e911. pmid:21179505
- 4. George KM, Chatterjee D, Gunawardana G, Welty D, Hayman J, Lee R, et al. Mycolactone: a polyketide toxin from Mycobacterium ulcerans required for virulence. Science. 1999;283: 854–857. pmid:9933171
- 5. Hall B, Simmonds R. Pleiotropic molecular effects of the Mycobacterium ulcerans virulence factor mycolactone underlying the cell death and immunosuppression seen in Buruli ulcer. Biochem Soc Trans. 2014;42: 177–183. pmid:24450648
- 6. Stinear TP, Jenkin GA, Johnson PD, Davies JK. Comparative genetic analysis of Mycobacterium ulcerans and Mycobacterium marinum reveals evidence of recent divergence. J Bacteriol. 2000;182: 6322–6330. pmid:11053375
- 7. Stinear TP, Seemann T, Pidot S, Frigui W, Reysset G, Garnier T, et al. Reductive evolution and niche adaptation inferred from the genome of Mycobacterium ulcerans, the causative agent of Buruli ulcer. Genome Res. 2007;17: 192–200. pmid:17210928
- 8. Huber CA, Ruf M-T, Pluschke G, Käser M. Independent loss of immunogenic proteins in Mycobacterium ulcerans suggests immune evasion. Clin Vaccine Immunol CVI. 2008;15: 598–606. pmid:18256209
- 9. Fyfe JAM, Lavender CJ, Handasyde KA, Legione AR, O’Brien CR, Stinear TP, et al. A major role for mammals in the ecology of Mycobacterium ulcerans. PLoS Negl Trop Dis. 2010;4: e791. pmid:20706592
- 10. Durnez L, Suykerbuyk P, Nicolas V, Barrière P, Verheyen E, Johnson CR, et al. Terrestrial small mammals as reservoirs of Mycobacterium ulcerans in benin. Appl Environ Microbiol. 2010;76: 4574–4577. pmid:20435759
- 11. Bratschi MW, Ruf M-T, Andreoli A, Minyem JC, Kerber S, Wantong FG, et al. Mycobacterium ulcerans persistence at a village water source of Buruli ulcer patients. PLoS Negl Trop Dis. 2014;8: e2756. pmid:24675964
- 12. Portaels F, Meyers WM, Ablordey A, Castro AG, Chemlal K, de Rijk P, et al. First cultivation and characterization of Mycobacterium ulcerans from the environment. PLoS Negl Trop Dis. 2008;2: e178. pmid:18365032
- 13. Doig KD, Holt KE, Fyfe JAM, Lavender CJ, Eddyani M, Portaels F, et al. On the origin of Mycobacterium ulcerans, the causative agent of Buruli ulcer. BMC Genomics. 2012;13: 258. pmid:22712622
- 14. Röltgen K, Qi W, Ruf M-T, Mensah-Quainoo E, Pidot SJ, Seemann T, et al. Single nucleotide polymorphism typing of Mycobacterium ulcerans reveals focal transmission of buruli ulcer in a highly endemic region of Ghana. PLoS Negl Trop Dis. 2010;4: e751. pmid:20652033
- 15. Vandelannoote K, Jordaens K, Bomans P, Leirs H, Durnez L, Affolabi D, et al. Insertion Sequence Element Single Nucleotide Polymorphism Typing Provides Insights into the Population Structure and Evolution of Mycobacterium ulcerans across Africa. Appl Environ Microbiol. 2014;80: 1197–1209. pmid:24296504
- 16. Bratschi MW, Bolz M, Minyem JC, Grize L, Wantong FG, Kerber S, et al. Geographic distribution, age pattern and sites of lesions in a cohort of Buruli ulcer patients from the Mapé Basin of Cameroon. PLoS Negl Trop Dis. 2013;7: e2252. pmid:23785529
- 17. Noeske J, Kuaban C, Rondini S, Sorlin P, Ciaffi L, Mbuagbaw J, et al. Buruli Ulcer Disease in Cameroon Rediscovered. Am J Trop Med Hyg. 2004;70: 520–526. pmid:15155984
- 18. Fyfe JAM, Lavender CJ, Johnson PDR, Globan M, Sievers A, Azuolas J, et al. Development and application of two multiplex real-time PCR assays for the detection of Mycobacterium ulcerans in clinical and environmental samples. Appl Environ Microbiol. 2007;73: 4733–4740. pmid:17526786
- 19. Lavender CJ, Fyfe JAM. Direct detection of Mycobacterium ulcerans in clinical specimens and environmental samples. Methods Mol Biol Clifton NJ. 2013;943: 201–216. pmid:23104291
- 20. Bratschi MW, Bolz M, Grize L, Kerber S, Minyem JC, Um Boock A, et al. Primary cultivation: factors affecting contamination and Mycobacterium ulcerans growth after long turnover time of clinical specimens. BMC Infect Dis. 2014;14: 636. pmid:25433390
- 21. Käser M, Ruf M-T, Hauser J, Marsollier L, Pluschke G. Optimized method for preparation of DNA from pathogenic and environmental mycobacteria. Appl Environ Microbiol. 2009;75: 414–418. pmid:19047396
- 22. Harris SR, Clarke IN, Seth-Smith HMB, Solomon AW, Cutcliffe LT, Marsh P, et al. Whole-genome analysis of diverse Chlamydia trachomatis strains identifies phylogenetic relationships masked by current clinical typing. Nat Genet. 2012;44: 413–419, S1. pmid:22406642
- 23. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinforma Oxf Engl. 2009;25: 2078–2079.
- 24. Croucher NJ, Harris SR, Fraser C, Quail MA, Burton J, van der Linden M, et al. Rapid pneumococcal evolution in response to clinical interventions. Science. 2011;331: 430–434. pmid:21273480
- 25. Holt KE, Parkhill J, Mazzoni CJ, Roumagnac P, Weill F-X, Goodhead I, et al. High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi. Nat Genet. 2008;40: 987–993. pmid:18660809
- 26. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol. 2013;30: 2725–2729. pmid:24132122
- 27. Vilella AJ, Blanco-Garcia A, Hutter S, Rozas J. VariScan: Analysis of evolutionary patterns from large-scale DNA sequence polymorphism data. Bioinforma Oxf Engl. 2005;21: 2791–2793.
- 28. Bandelt HJ, Forster P, Röhl A. Median-joining networks for inferring intraspecific phylogenies. Mol Biol Evol. 1999;16: 37–48. pmid:10331250
- 29. Oksanen J, Blanchet FG, Kindt R, Legendre P, Minchin PR, O’Hara RB, et al. vegan: Community Ecology Package [Internet]. 2015. http://cran.r-project.org/web/packages/vegan/index.html
- 30. Stinear TP, Hong H, Frigui W, Pryor MJ, Brosch R, Garnier T, et al. Common evolutionary origin for the unstable virulence plasmid pMUM found in geographically diverse strains of Mycobacterium ulcerans. J Bacteriol. 2005;187: 1668–1676. pmid:15716437
- 31. Ramaswamy S, Musser JM. Molecular genetic basis of antimicrobial agent resistance in Mycobacterium tuberculosis: 1998 update. Tuber Lung Dis Off J Int Union Tuberc Lung Dis. 1998;79: 3–29.
- 32. Ablordey AS, Vandelannoote K, Frimpong IA, Ahortor EK, Amissah NA, Eddyani M, et al. Whole genome comparisons suggest random distribution of Mycobacterium ulcerans genotypes in a Buruli ulcer endemic region of Ghana. PLoS Negl Trop Dis. 2015;9: e0003681. pmid:25826332
- 33. Marion E, Landier J, Boisier P, Marsollier L, Fontanet A, Le Gall P, et al. Geographic Expansion of Buruli Ulcer Disease, Cameroon. Emerg Infect Dis. 2011;17: 551–553. pmid:21392458
- 34. Röltgen K, Bratschi MW, Ross A, Aboagye SY, Ampah KA, Bolz M, et al. Late onset of the serological response against the 18 kDa small heat shock protein of Mycobacterium ulcerans in children. PLoS Negl Trop Dis. 2014;8: e2904. pmid:24853088