Microb Ecol (2017) 74:350–361 DOI 10.1007/s00248-017-0946-6 ENVIRONMENTAL MICROBIOLOGY Seasonal Pattern ofMycobacterium ulcerans, the Causative Agent of Buruli Ulcer, in the Environment in Ghana Samuel Yaw Aboagye1,2 & Kobina Assan Ampah1,3,4 & Amanda Ross3,4 & Prince Asare1 & Isaac Darko Otchere1 & Janet Fyfe5 & Dorothy Yeboah-Manu1 Received: 19 December 2016 /Accepted: 31 January 2017 /Published online: 25 February 2017 # The Author(s) 2017. This article is published with open access at Springerlink.com Abstract This study aimed to contribute to the understanding of MU along the Densu River basin was 89/434 (20.5 %), of Mycobacterium ulcerans (MU) ecology by analysing both whilst that of the Offin River basin was 50/1166 (4.3 %). clinical and environmental samples collected from ten com- The DNA was detected mainly in snails (5/6, 83 %), moss munities along two major river basins (Offin and Densu) as- (8/40, 20 %), soil (55/586, 9 %) and vegetation (55/675, sociated with Buruli ulcer (BU) at different seasons. We col- 8 %). The proportion of MU positive samples recorded was lected clinical samples from presumptive BU cases and envi- higher during the months with higher rainfall levels (126/ ronmental samples from ten communities. Following DNA 1175, 11 %) than during the dry season months (13/425, extraction, clinical samples were confirmed by IS2404 PCR 3 %). This study indicates for the first time that there is a and environmental samples were confirmed by targeting MU- seasonal pattern in the presence of MU in the environment, specific genes, IS2404, IS2606 and the ketoreductase (KR) which may be related to recent rainfall or water in the soil. using real-time PCR. Environmental samples were first analysed for IS2404; after which, IS2404-positive samples Keywords Mycobacterium ulcerans . Buruli ulcer . Ghana were multiplexed for the IS2606 and KR gene. Our findings indicate an overall decline in BU incidence along both river basins, although incidence at Densu outweighs that of Offin. Background Overall, 1600 environmental samples were screened along Densu (434, 27 %) and Offin (1166, 73 %) and MU was Buruli ulcer (BU), caused byMycobacterium ulcerans (MU), is detected in 139 (9 %) of the combined samples. The positivity the third most important mycobacterial disease of public health importance globally after tuberculosis and leprosy [1]. The dis- ease has been reported in 32 countries worldwide mostly in the Electronic supplementary material The online version of this article tropical regions with the greatest burden experienced in West (doi:10.1007/s00248-017-0946-6) contains supplementary material, which is available to authorized users. African countries along the Gulf of Guinea [2]. Buruli ulcer, which affects the skin and its underlying soft tissues, begins * Dorothy Yeboah-Manu usually as a painless papule or nodule under the skin at the site DYeboah-Manu@noguchi.ug.edu.gh of trauma, but in some individuals, more severe diffuse forms occur such as a plaque and/or oedema. Failure to treat these early 1 Bacteriology Department, Noguchi Memorial Institute for Medical forms results in gradual erosion of the skin leaving a well- Research, University of Ghana, P.O. Box LG 581, Legon, demarcated ulcer with wide undermined edges resulting from Accra, Ghana the cytopathic action of the plasmid-encoded macrolide toxin, 2 Institute of Environmental and Sanitation Studies, University of mycolactone [3–5]. Ghana, Accra, Ghana The epidemiology of BU in endemic countries is not fully 3 Swiss Tropical and Public Health Institute, Basel, Switzerland understood. It has a focal distribution of cases where endemic 4 University of Basel, Basel, Switzerland and non-endemic communities are separated by few 5 Victorian Infectious Diseases Reference Laboratory, kilometres [6]. Nevertheless, various studies have linked high Melbourne, VIC, Australia BU incidence to slow-flowing or stagnant waters and Seasonality Influences the Distribution of Mycobacterium ulcerans 351 disturbed environment [7, 8]. Rapid changes in landscape [9] because extensive disease and sero-epidemiological studies such as deforestation, flooding, construction of dams and ar- have shown high exposure of community member to the tificial lakes for irrigation, mining activities and extending M. ulcerans 18 KDa heat shock protein 65 [6, 33, 34], and swamps for growing rice and fish breeding have been associ- unlike other communities in Ghana which depend on passive ated with the emergence of the disease in some communities case report, these sites are active in reporting BU cases to the [8, 10–13]. national BU control programme (NBUCP) [35]. One of the factors limiting the prevention and control of Following the Ampah et al. [36] method, ten communities BU is the lack of understanding of the ecology and mode of were selected by simple randomization from a total of 199 transmission of the causative agent. Many features of MU using a randomization tool embedded within the ArcGIS ecology, including distribution within the environment, niche 10.0 software. Along the Densu River basin, the three ran- adaptation and host range(s), are still not fully known [9, domly selected communities were Ntabea in the Akim East 14–16]. Theories that have been proposed to explain the which lies upstream of the river, Ashongkrom in the Akwapim mechanism ofMU transmission include (1) inhalation of aero- South at midstream both in the Eastern region and solized MU from contaminated water [5], (2) acquisition of Domesampaman in the Ga-West Municipality of the Greater MU through an insect or vector bite [5] and (3) contamination Accra region. In Offin, the seven randomly selected commu- of an existing wound or site of trauma by the environment nities for the study were Ntobroso in the Atwima district such as soil, vegetation andwater among others [17–20]; how- which lies upstream of the river, Akomfore in the Amansie ever, none of these theories have been confirmed. West district and Achiase, Wromanso and Keniago all in the A major factor that has limited the understanding of MU Atwima district which lie midstream of the river and down- ecology is the inability to culture viable organisms from the stream of the river are Mfantsiman and Pokukrom in the environment [10, 20, 21]. However, the completion of theMU Upper Denkyira district. genome sequence provided specific targets for DNA-based Sampling was conducted within the two major climatic detection methods, such as the insertion sequence IS2404, seasons in Ghana, the rainy and dry season. The months of IS2606 and the plasmid encoding mycolactone, May to July are classified as the major rainy season and ketoreductase-B domain (KR) [22]. Such methods have been August to October as the minor rainy season with the remain- used to elucidate tree-dwelling possums and mosquitoes as ing months constituting the dry season. The communities possible reservoirs [23] and potential vectors [24], respective- along the Densu River basin were predominantly hamlets with ly, in South-Eastern Australia. In a previous study, certain smaller coverage area, whilst those at the Offin River basin water bugs were cited as possible vectors in hosting MU in were large communities with extensive coverage area. its salivary glands [25]; however, until now, no potential res- ervoirs have been identified in Africa, which harbours most of Buruli Ulcer Active Case Search BU disease burden. Seasonal changes are cyclic and represent a major source of We conducted active case search to monitor the emergence of external variation influencing human and other natural systems BU cases using community outreach programme and monthly [26–30] and affect diseases such as malaria [31] and diarrhoea household visits by community volunteers. Community out- [32]. It is not clearly known whether the incidence of BU is reach education was conducted once every 3 months in all the seasonal. Understanding the local seasonal drivers of MU in selected communities. During the outreach programme, we the environment which could influence incidence of BU disease educated community members on the transmission, early case may be of importance in improving the control strategies in detection and treatment of BU by showing BU documentaries Ghana. In this study, we surveyed the presence of MU in differ- and interacted with community members through questions ent environmental sources using DNA-based assays and looked and answers. The following morning, the inhabitants were at seasonality and also possible risk factors within the environ- screened and those with clinically suspected BU lesions were ment and retrospectively characterized the occurrence of BU sampled for laboratory confirmation. We also employed a cases for each community based on active surveillance data. monthly household visit-based surveillance as an additional tool to the surveillance by the community outreach pro- gramme. We trained and equipped one community-based sur- Methods veillance volunteer (CBSV) from each of the communities with android phones (HTC wildfire S) pre-loaded with a BU Study Site surveillance questionnaire. The questionnaire used for the study was designed as previously described [36]. Starting The study was conducted in ten communities associated with from August 2013 to December 2014, we mandated the BU along two major river basins (Densu and Offin) of Ghana CBSVs to visit all households monthly and record any pre- (Fig. 1). These river bodies were selected for the study sumptive case using the mobile application and a notebook. 352 Aboagye S. Y. et al. Fig. 1 Map of Ghana showing study communities along the Densu and Offin River basins Presumptive cases were then sampled by a local health staff, We estimated the prevalence of BU within each of the com- and the samples were sent to the Noguchi Memorial Institute munities using passive data obtained from the local health for Medical Research (NMIMR) for laboratory confirmation. facilities and data from the national active case surveillance. Seasonality Influences the Distribution of Mycobacterium ulcerans 353 Environmental Sample Collection Biofilms were prepared from vegetation parts using a modi- fied version of the method described by Gryseels et al. [37]. Two different sampling methods (convenient and random) Samples were emptied into sterile plastic resealable bags, and were employed along the two river basins. Convenience sam- 50 ml of PBS was added to each bag. The contents of the bags pling was conducted to collect environmental samples from were vigorously agitated to dislodge the biofilms into solu- the three communities (Ntabea, Ashongkrom and tion. The suspensions were poured into sterile 50-ml Falcon Domesampaman) along the Densu River basin in 2011, tubes and centrifuged at 4000 rpm for 30 min, to sediment all 2013 and 2014. We purposely used convenient sampling tech- suspended bacteria. The supernatant was decanted and the nique to capture specific zones within the environment where resulting pellet was suspended in 10 ml of PBS for the anal- there is likelihood of human interactions. During the conve- ysis. Water samples were vortexed tomix homogeneously and nient sampling, we walked through the communities and col- centrifuged at 4000 rpm for 30 min to sediment all suspended lected environmental samples from sites of frequent human bacteria. The supernatant was decanted and the resulting pellet activities such as water sources including hand dug wells, was suspended in PBS. ponds, streams and boreholes which are regularly utilized, communal bathing areas, school compounds, agricultural Screening of Samples by Real-Time PCR farms, market grounds and community centres. Samples were collected from 239 different locations, and at each sample Genomic DNAwas extracted directly from 1600 environmen- location, we collected soil sample and any other sample within tal samples using the FastDNA SPIN kit for soil with the 1 m reach. Any other samples that were more than 1 m away FastPrep-24TM instrument (MP Biomedicals) according to from the location point were excluded from the collection. At the manufacturer’s instructions. Negative controls were in- each sampling location, a distance of about 10 m was allowed cluded at each point of DNA extraction. Detection of MU between sampling points or about 5 m where space was lim- DNA from the environment has been based solely on ited and GPS coordinates were taken at each collection point. IS2404 PCR due to the large copy numbers present in the Solid samples such as animal faeces (sheep, lizard and chick- MU genome [38]. However, there are other organisms that en), terrestrial insects (using insect net), snails, soil and water also harbour this IS2404 sequence making it non-specific to were collected aseptically into 50-ml Falcon tubes and vege- MU [39]. In this study, three independent gene targets, tation parts were collected and pressed into 50-ml Falcon IS2404, IS2606 and KR, within the MU genome were tubes and then released into sealable plastic bags from which screened. The extracted DNAwas first screened for the inser- biofilms were prepared. All samples were clearly labelled im- tion sequence IS2404 by real-time PCR using Rotor Gene Q mediately, kept in a cool pack at 4 °C after collection and (Qiagen). Primers and TaqMan MGB probes from Applied transported to the laboratory and kept frozen until analysis. Biosystems that were selected from regions of the sequences Along the Offin River basin, sampling was conducted in for IS2404, IS2606 and KR present on the plasmid 2013 and 2014. Random sampling from a grid of locations pMUM001 were used [22]. Probes IS2404TP and KRTPwere was used for the collection of environmental samples from labelled with the fluorescent dye 6-carboxyfluorescein (FAM) seven communities (Achiase, Akomfore, Keniago, at the 5′ end and a nonfluorescent quencher at the 3′ end. Mfantsiman, Ntobroso Pokukrom and Wromanso). All the Probe IS2606TP was labelled with the fluorescent dye VIC communities were mapped and divided into grids, and 487 at the 5′ end and a nonfluorescent quencher at the 3′ end [22]. sampling points were randomly selected using a randomiza- The IS2404 real-time PCR mixtures contained 1 μl of tem- tion tool embedded within the ArcGIS 10.0. Samples were plate DNA, 0.9 μM concentrations of each primer, a 0.25 μM collected from each of the 487 points generated and treated concentration of the probe, SensiFast (500 nM) mix (Bioline) in the same way as those from the Densu River basin and and TaqMan exogenous internal positive control (IPC) re- transported to the laboratory. We collected rainfall data from agents (Applied Biosystems) in a total volume of 20 μl. the Ghana Meteorological Agency, Accra after monthly rain- IS2606 and KR assays were performed as a multiplex assay fall level data from the meteorological substations within the (without IPC) for all IS2404-positive DNA with CT value study sites have been reported. below 35. At each PCR run, two each of negative and positive controls were added. Amplification and detection were per- Sample Processing formed using the Gene Q sequence detection system (Qiagen) according to the following programme: 1 cycle of 50 °C for Snail and faecal samples were diced with sterile disposable 2 min, 1 cycle of 95 °C for 15 min and 40 cycles of 95 °C for surgical blades and homogenized using sterile porcelain and 15 s and 60 °C for 1 min. DNA extracts were tested in at least pestle and suspended in phosphate-buffered saline (PBS). Soil duplicate, and negative controls were included in each assay. samples were shaken vigorously in sterile distilled water and All DNA samples that were positive for IS2404, IS2606 and centrifuged at 600 rpm for 5 min to sediment soil particles. KR were classified as MU confirmed. We also determined the 354 Aboagye S. Y. et al. IS2404/IS2606 copy number ratio which differentiates Of the laboratory confirmed cases, 19 (59.4 %) were males M. ulcerans from the other mycolactone=producingmycobac- and 13 (40.6 %) were females, aged between 3 and 70 years, terium following Fyfe et al. [22]. with a mean age of 26. Lesions presented by cases were in the early stages; 25 (78.2 %) were detected with pre-ulcerative Laboratory Confirmation of BU Cases lesion and 7 (21.9 %) presented with category II lesions. We confirmed presumptive BU lesions by collecting two swab specimens from the undermined edges of ulcerative lesions Detection and Identification of M. ulcerans by Real-Time and one fine needle aspirate (FNA) collected into 500 μl PCR PBS as previously described [40] for pre-ulcerative lesions. Samples were transported to NMIMR at 4 °C and confirmed A total of 1600 environmental samples from ten communities by a positive IS2404 PCR laboratory test as previously de- associated with Buruli ulcer along both the Densu (434, 27%) scribed [41]. and the Offin (1166, 73 %) river basins were collected, cate- gorized and screened for MU DNA using three independent molecular markers. We sampled from 239 locations in three Statistical Analysis communities along the Densu and 487 locations in seven communities in the Offin River basins. The median number The data collected were entered into a Microsoft Excel 2010 of samples per location was 1 for the communities along the spreadsheet and analysed using R statistical software [42]. We Densu River basin and 2 for those along Offin River basin. used logistic regression and accounted for the cluster sampling Overall, 139 (9 %) samples were positive for MU DNA by including random effects for location and community. We (Table 2). estimated the proportion positive with 95 % confidence inter- We found MU DNA to be broadly distributed in all the vals, overall and for different categories of the explanatory communities along both river basins. variables. In analyses stratified by site or adjusting for calen- Two different sampling techniques were used in the study dar month, the numbers were too small to allow the random for both the Densu and Offin River basin. M. ulcerans posi- effects model to converge and so we did not adjust for tivity was significantly higher with the convenience sampling clustering. method conducted along the Densu River basin (89, 21 %) than the random sampling method at Offin (50, 4 %) river body (p < 0.001) (Table 2). Results Along the Densu River basin, sample positivity for M. ulcerans DNAwas high at Ntabea (21/37, 57 %), followed Demographic Characteristics and Identified BU Cases byAshongkrom (61/293, 22%) and the least at Domesampaman (7/104, 7 %) as shown in S1. Among the seven communities An overall population of 10,851 inhabitants from communi- along the Offin River basin, Wromanso (16/142, 11 %) had the ties along Densu (1217, 11.2 %) comprising 45.6 % (n = 555) highest MU positivity and the least MU positivity was recorded females and 54.4 % (n = 662) males and Offin (9634, 88.8 %) for Akomfore (2/139, 1%), Keniago (2/177, 1%) and Pokukrom comprising 49.6 % (n = 4785) females and 50.4 % (n = 4849) (2/88, 2 %), respectively (S1). males were studied. From samples collected along the Densu River basin, we Within the study communities, we detected 84 presumptive found MU DNA positives among all nine sample types sam- BU cases; 56 (66.7 %) from Densu and 28 (33.3 %) from pled with a positivity ranging from 83 % among snails to 9 % Offin River basins, respectively. Thirty-two (38.1 %) were in animal faecal samples (Table 2). However, in the Offin laboratory confirmed by IS2404 PCR, of which 24 (75 %) River basin, detections were observed among only moss, soil, were from Densu and 8 (25 %) from the Offin River basin. vegetation and water (Table 2).We detectedMU in at least one At Densu, 15 (62.5 %) of the confirmed cases were from sample each of vegetation and soil at every sampling period in passive reports. The confirmed cases were detected in both river basins. Among the samples confirmed to contain Ashongkrom (16, 66.7 %) and Domesampaman (8, 33.3 %) MU DNA, we found the highest proportion from agricultural with a prevalence of 14.3 and 3.6 %, respectively, whilst no farms (45 %), followed by water sources within the commu- case was detected in Ntabea. At Offin, seven (87.5 %) of the nities (36 %) and the least near household (19 %). confirmed cases were actively reported. The eight cases were Of the 139 samples confirmed to contain MU DNA, the detected in three communities: Achiase (4, 62.5 %), Ntobroso IS2404/IS2606 copy number ratio, which differentiates (3, 37.5 %) and Akomfore (1, 12.5 %). The recorded preva- M. ulcerans from the other mycolactone producing mycobac- lence was 3.8% for Achiase, 1.6% for Ntobroso and 3.0% for terium, was found in most of the samples to be around 2.4, the Akomfore (Table 1). expected ratio for MU (S2). This IS2404/IS2606 copy number Seasonality Influences the Distribution of Mycobacterium ulcerans 355 Table 1 Demographic characteristics and identified BU cases in studied communities Variables Community Densu Offin A B C D E F G H I J Population (n) 378 512 327 1900 1016 3350 303 1949 900 216 No. of households 52 64 48 295 157 413 85 251 121 41 Sex: females, n (%) 184 (48.6) 228 (44.5) 143 (43.7) 939 (49.4) 499 (49.1) 1719 (51.3) 141 (46.5) 972 (49.9) 409 (45.4) 106 (49.1) Presumptive BU cases 29 27 0 6 3 3 3 7 4 2 Lab confirmed 16 8 0 4 1 0 0 3 0 0 BU prevalence (%) 14.3 3.6 0 3.1 3 1.2 8.9 1.6 1.3 2.3 Prevalence rate is given as the total prevalence comprising both active and healed lesions A Ashongkrom, B Domesampaman, C Ntabea, D Achiase, E Akomfore, F Keniago, G Mfanstiman, H Ntobroso, I Pokukrom, J Wromanso ratios were found in 73/89 (88 %) and 37/50 (74 %) positive with higher rainfall levels (126/1175, 11 %) than during the samples along the Densu and Offin River basins, respectively. dry season months (13/425, 3 %; p < 0.001). Along the Densu River basin in 2011, we recorded high MU positivity for the minor and major rainy seasons, Rainfall Pattern and MU Positivity September 23/34 (65 %) and October (13/17, 76 %), respec- tively, while MU positivity declined during the dry season, To better understand the seasonal drivers for the distri- December (2/15, 13 %), as indicated (Table 3 and Fig. 2) bution of MU in the environment, we compared month- (R = 0.94). In both 2013 and 2014, we observed a drastic ly MU positivity with monthly rainfall levels using data decline in MU positivity in both the major and minor rainy obtained from the meteorological substations within the seasons as well as the dry season (Table 3) (p = 0.0002, 95 % study communities after approval from the Ghana CI = 1.7–6.4). Meteorological Agency, Accra. Along the Offin River basin, our findings suggested that We detected MU DNA in at least one sample in all the rainfall over a low threshold was associated with increased sampling periods throughout the study. The proportion of MU positivity (Table 4 and Fig. 3), but the linear trend ob- MU positive samples recorded was higher during the months served in the Densu was not apparent. In both 2013 and 2014, Table 2 M. ulcerans DNA positivity among samples Samples Densu Offin Total MU confirmed analysed from communities along Densu and Offin River basins No. of MU No. of MU No. of MU samples confirmed samples confirmed samples confirmed (%) (%) (%) Detritus 2 1 (50.0) 21 0 (0.0) 23 1 (4.3) Faeces 44 4 (9.1) 36 0 (0.0) 80 4 (5.0) Fungi 8 1 (12.5) 3 0 (0.0) 11 1 (9.1) Insect 8 1 (12.5) 28 0 (0.0) 36 1 (2.7) Moss 35 7 (19.4) 4 1 (25.0) 40 8 (20.0) Water 67 7 (10.4) 76 2 (2.6) 143 9 (6.2) Soil 143 30 (20.9) 443 24 (5.2) 586 54 (9.0) Vegetation 121 33 (27.5) 555 23 (3.9) 675 56 (8.1) biofilm Snails 6 5 (83.3) – – 6 5 (83.3) Total 434 89 (20.5) 1166 50 (4.2) 1600 139 (8.7) 356 Aboagye S. Y. et al. Table 3 Rainfall levels and monthly MU DNA positivity Period of sampling Rainfall levels (mm) Densu along the Densu River basin No. of samples MU positive MU positivity rate (%) September 2011 268.1 34 22 65 October 2011 130.1 17 13 77 December 2011 22.2 15 2 13 July 2013 176.6 24 13 54 August 2013 20.6 18 2 11 October 2013 146.2 20 6 30 December 2013 26.7 22 2 9 July 2014 103.3 28 6 21 August 2014 108.9 36 8 22 September 2014 102.4 42 6 14 October 2014 45.3 61 2 3 November 2014 95.5 41 5 12 December 2014 26.2 76 2 3 Total 434 89 20.5 MU positivity for the minor and major rainy seasons was also A number of infectious diseases including vector, air and low as observed along the Densu River basin. waterborne diseases are seasonal [26–29]. At present, there are no clear indications of association between BU and sea- sonality due to the long incubation period of the disease which is estimated between 2 and 4 months [43]. Nevertheless, few Discussion reports from some endemic countries indicate that there may be differences in occurrence of BU between wet and dry sea- In this study, we looked for (1) the presence of MU DNA in sons in the tropics. In Cameroun and Papua NewGuinea, high the environment to contribute to understanding the pathogen rates of BU occur during the dry season [44–46], while in both ecology, (2) the associations between MU in the environment Ghana and Côte d’Ivoire, the peak incidence of the BU dis- and other variables including BU endemicity and rainfall pat- ease has also been reported to be at the end of the rainy season terns and (3) the occurrence of BU cases within some selected [47, 48]. Our finding therefore agrees with these reports as we communities. We found for the first time that there is a sea- detected more human BU cases during the monthly active sonal pattern in the presence of MU DNA in the environment, case search surveillance conducted in Ashongkrom which possibly related to rainfall and also more human BU cases are peaked after the rainy months (Fig. 4). We are of the view that most likely to be detected after the raining seasons. MU cells that might have been dormant/or buried in the Fig. 2 a, b Rainfall levels and M. ulcerans distribution along the Densu River basin Seasonality Influences the Distribution of Mycobacterium ulcerans 357 Table 4 Rainfall levels and monthly MU DNA positivity Period of sampling Rainfall levels (mm) Offin along Offin River basin No. of samples MU positive MU positivity rate (%) August 2013 114.5 64 8 13 October 2013 149.4 292 21 7 December 2013 24.1 208 1 0.5 July 2014 270.9 292 10 2 September 2014 176.4 78 8 10 October 2014 39.5 98 1 1 December 2014 38.3 63 1 2 Total 1166 50 4.1 environment particularly in the soil are exposed during the ratios for the insertion sequences, IS2404/IS2606, for most of rainfall season due to the erosion and other environmental the positive samples were about 2.4. According to Fyfe et al., disturbances that occur during the rainfalls. The exposure rates the average ΔCT (IS2606–IS2404) for M. ulcerans is 2.37; that occur during these months probably account for the high while for the other mycolactone-producing mycobacteria, it is numbers of BU cases at the end of the rainy season (in the BU 7.60 [22]. We found 79 % of the analysed samples in the treatment facility at the AmasamanHospital, Accra, Ghana) or expected range for M. ulcerans, an indication that during the dry months due to increased agricultural activities, M. ulcerans was being detected (S2). However, the environ- and this also supports the suggested incubation time [43–45, mental abundance of MU seems to outweigh the observed 47]. This samemechanismmay account for the observation of disease occurrence. This could be due to the presence of high MU positivity rate from soil and vegetation biofilm sam- non-human pathogenic strains of MU from the environment ples that were detected at each sampling period (S2). Even probably resulting from mixed populations of bacteria each though rainfall seems to influence the distribution of MU in carrying PCR targets but not necessarily MU itself. The broad the environment, our findings suggest that rainfall within a distribution of MU in the environmental setting also clearly certain threshold was associated with MU positivity. This contrasts the focal distribution of human BU cases. Ntabea for may mean that water in the ground is important probably for instance has reported no BU case even though community suspension but not so much water to wash away the bacteria. members are exposed to the 18-kDa shsp-specific antibodies M. ulcerans has been described as an environmental path- of MU [6]. The monthly active case surveillance confirmed ogen; this was confirmed in this study by finding MUDNA in this as we detected no human BU case during the study period; all the communities along both river basins. The copy number however, environmental MU presence was high. This may Fig. 3 a, b Rainfall levels and M. ulcerans distribution in along the Offin River basin 358 Aboagye S. Y. et al. Fig. 4 Monthly BU case surveillance for Ashongkrom and Achiase imply that community member has high inborn or genetic DNA can harbour metabolically active bacterial communities protection that has a reduced attack rate with BU. in its gut [52] during feeding on plants and soil [53, 54]. Furthermore, our finding suggests other pathogens and host Considering the high MU positivity rate among the snail sam- variables may be important for the occurrence of the disease. ples, a larger collection of snails from both river basins to Moreover, various studies by our group have shown that not further explore the presence of MU in the environment will all exposed individuals develop overt disease [6, 49]. The be essential. Our finding therefore is consistent with earlier pathogen variables that will be interesting to explore will be studies by Stinear et al. [49]. the genomic difference that could lead to differences in viru- This study focused on the presence ofMU in the environment lence between isolates obtained from the study sites. rather than whether it was the source of human infection. Currently, methods for the in vitro isolation of MU from the However, case–control studies conducted in BU-burdened com- environment have recently been published [50]. This will pave munities have identified wearing short and lower-body clothing the way for comparative studies between environment and while farming [55] as risk factors for BU and covering limbs clinical samples. during farming [56] as protective for BU. The proportions of Studies have postulated that MU may be preferentially vegetation biofilm and soil samples (S3) with confirmed MU adapting to specific ecological niches such as plant biofilms DNA from this studymay be relevant particularly for agricultural due to its inability to produce light inducible carotenoids that farmers in the tropics who often engage in activities without serve as a shield against incident sunlight [49]. In our study, protective clothing due to high temperatures. we found high proportions of MU present in snail, moss, Also in most BU-burdened communities, children may vegetation and soil along the Densu River basin whilst MU swim in stagnant waters that collect during rainfall that might was more restricted to vegetation and soil at the Offin River contain MU which may expose susceptible hosts to MU. The basin sites. Aquatic snails have been reported to transiently findings from our study confirm the presence of MU in the harbour MU without offering favourable conditions for its environment as the sero-epidemiological studies conducted growth and survival [51]. In contrast, the edible land African along the river basins indicated that sera of individuals above giant snail (Achatina fulica) from which we detected MU age 5 contained significant amounts of 18 kDa shsp-specific Seasonality Influences the Distribution of Mycobacterium ulcerans 359 antibodies of MU. This indicates exposure to MU from the Infectious Disease Reference Laboratory (VIDRL), Melbourne, environment as children below 5 years showed no immune Australia. response [6, 33, 34]. Competing Interests The authors declare that they have no competing This study is limited by the use of two different sampling interests. techniques for the two study sites which may have influenced the high positivity observed along the Densu site. However, Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// we observed a similarity in higher positivity in both vegetation creativecommons.org/licenses/by/4.0/), which permits unrestricted and soil samples irrespective of sampling technique, which use, distribution, and reproduction in any medium, provided you give again underpins the MU adaptation preferences for these par- appropriate credit to the original author(s) and the source, provide a link ticular sample types. The study is limited also by sampling to the Creative Commons license, and indicate if changes were made. during only certain months of the year. It would be desirable for sampling to cover a whole 12 months. In conclusion, the study provides information on the pres- References ence of MU in the environment and for the first time indicates the influence of rainfall on its presence in the environment. In 1. 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Merritt RW, Walker ED, Small PL, Wallace JR, Johnson PD, Benbow ME, Boakye DA (2010) Ecology and transmission of Consent for Publication The manuscript does not contain any individ- Buruli ulcer disease: a systematic review. PLoS Negl. Trop. Dis. ual person’s data in any form. The image contained in this manuscript was 4:e911 generated by the authors. 12. Garchitorena A, Roche B, Kamgang R, Ossomba J, Babonneau J, Landier J, Fontanet A, Flahault A, Eyangoh S, Guégan JF, et al. Availability of Data and Material The dataset analysed during this (2014) Mycobacterium ulcerans ecological dynamics and its asso- study are included in this manuscript as supplementary information files ciation with freshwater ecosystems and aquatic communities: re- except one dataset which will be made available from the corresponding sults from a 12-month environmental survey in Cameroon. PLoS author on request. Negl. Trop. Dis. 8:e2879 13. 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