Literature DB >> 30673761

Distribution of Scedosporium species in soil from areas with high human population density and tourist popularity in six geographic regions in Thailand.

Natthanej Luplertlop1, Watcharamat Muangkaew1, Potjaman Pumeesat1, San Suwanmanee1, Pantira Singkum1.   

Abstract

Scedosporium is a genus comprising at least 10 species of airborne fungi (saprobes) that survive and grow on decaying organic matter. These fungi are found in high density in human-affected areas such as sewage-contaminated water, and five species, namely Scedosporium apiospermum, S. boydii, S. aurantiacum, S. dehoogii, and S. minutisporum, cause human infections. Thailand is a popular travel destination in the world, with many attractions present in densely populated areas; thus, large numbers of people may be exposed to pathogens present in these areas. We conducted a comprehensive survey of Scedosporium species in 350 soil samples obtained from 35 sites of high human population density and tourist popularity distributed over 23 provinces and six geographic regions of Thailand. Soil suspensions of each sample were inoculated on three plates of Scedo-Select III medium to isolate Scedosporium species. In total, 191 Scedosporium colonies were isolated from four provinces. The species were then identified using PCR and sequencing of the beta-tubulin (BT2) gene. Of the 191 isolates, 188 were S. apiospermum, one was S. dehoogii, and species of two could not be exactly identified. Genetic diversity analysis revealed high haplotype diversity of S. apiospermum. Soil is a major ecological niche for Scedosporium and may contain S. apiospermum populations with high genetic diversity. This study of Scedosporium distribution might encourage health care providers to consider Scedosporium infection in their patients.

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Year:  2019        PMID: 30673761      PMCID: PMC6343921          DOI: 10.1371/journal.pone.0210942

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Scedosporium is a genus of filamentous fungi with septate hyphae. These fungi are airborne saprobes that survive and grow on decaying organic matter, and thus, are frequently found in high density in human-affected areas such as sewage, contaminated water, and urban soil. The genus currently comprises 10 species, five of which, namely Scedosporium apiospermum, S. boydii, S. aurantiacum, S. dehoogii, and S. minutisporum, cause Scedosporiosis. [1]. This disease has recently emerged as a severe fungal infection from environmental sources. Scedosporium biology has been studied mainly after its isolation from the environment. In Thailand, S. apiospermum was reported in brain abscesses of near-drowning individuals [2]. Moreover, two Swiss tourists who nearly drowned in a tsunami disaster were infected with S. apiospermum [3]. The distribution of Scedosporium is of increasing clinical importance considering several severe Scedosporium species infections reported throughout Asia. In Japan, Nakamura et al. reported multiple brain abscesses caused by S. aurantiacum [4], and Shimizu et al. reported vertebral osteomyelitis caused by S. apiospermum in patients who nearly drowned during the Great East Japan Earthquake and Tsunami [5]. In Taiwan, Chen et al. [6] reported a case of disseminated S. apiospermum infection in a near-drowning patient. Thus, a unique feature of this environmental fungus is the infection of immunocompetent humans after near-drowning incidents. Therefore, clinicians and microbiologists should be aware of this possibility in regions with high endemicity. Furthermore, additional research on disease course and treatment is required. Therefore, our team began to study Scedosporium species in their natural habitats in Thailand. In our initial study, we surveyed and isolated colonies of Scedosporium species in soil and water samples from 10 public parks in Bangkok, the capital and most populous city in Thailand. Three major Scedosporium species, namely S. apiospermum, S. aurantiacum, and S. dehoogii, were identified, but 16 sequences could not be identified, implying the possibility of additional Scedosporium species [7]. In this study, we conducted a more comprehensive survey of Scedosporium species in soil samples by investigating soil samples in Thailand from 35 public areas with high human population density and tourist popularity in six geographic regions of Thailand.

Materials and methods

Soil sample collection

Sampling at all locations in 35 public parks was authorized by the mayor’s office of the municipality or city in 23 provinces in six geographic regions: northern (Chiang Mai, Chiang Rai, and Nan Provinces), central (Phitsanulok, Nakhon Sawan, Nakhon Nayok, Phra Nakhon Si Ayutthaya, and Samut Songkhram Province), western (Tak, Kanchanaburi, and Prachuap Khiri Khan Provinces), eastern (Chon Buri and Chanthaburi Provinces), northeastern (Nakhon Ratchasima, Khon Kaen, Mukdahan, Nong Khai, Bueng Kan, and Ubon Ratchathani Provinces) and southern (Surat Thani, Phuket, Songkhla, and Narathiwat Provinces) (Table 1 and S1 Table). Soils samples were randomly collected from ten 1-m2 sites in each park, with sampling at four positions per site. All soil samples were collected from a depth of approximately 15 cm using a sterile metal spoon to avoid plant debris, weeds, and branches. Samples were placed in sterile plastic bags and stored at 4°C until processed.
Table 1

Sample collection areas and number of Scedosporium apiospermum species complex strains isolated from each area.

Park namePark codeLocationProvinceNo. of sampled sitesNo. of isolatesDistribution of Scedosporium species complex members
S. apiospermumS. dehoogiiUnidentified species
1. Ko Loi Public ParkCRI-AN 19.91832;E 099.83858Chiang Rai100000
2. Anniversary Rama 9 Flag and Lamb ParkCRI-BN 19.90855;E 099.83505100000
3. Chiang Rai Beach ParkCRI-CN 19.91714;E 099.79384100000
4. Nong Buak Hard Public ParkCMI-DN 18.78188;E 098.97968Chiang Mai100000
5. Lanna Rama 9 ParkCMI-EN 18.81985;E 098.97861100000
6. Baan Den Health ParkCMI-FN 18.77238;E 099.00645100000
7. Nong Thin Public ParkNKI-GN 17.87699;E 102.72742Nong Khai100000
8. Pumrak ParkNMA-HN 14.97205;E 102.07129Nakhon Ratchasima10777610
9. Asdang Reservoir ParkNMA-IN 14.98180;E 102.0974310444400
10. Nongkae Chang ParkNMA-JN 14.96639;E 102.0747110333201
11. Paradise ParkNSN-KN 15.69820;E 100.12359Nakhon Sawan100000
12. Bueng Phraram Public ParkAYA-LN 14.35659;E 100.56277Phra Nakhon Si Ayutthaya10343301
13. Chaloem Phrakiat Rama 9 Park (Saun Luang Chonburi)CBI-MN 13.33708;E 100.95692Chonburi100000
14. 80 Anniversary Rama 9 Chaloem Phrakiat ParkCBI-NN 13.36353;E 100.97855100000
15. Health ParkCBI-ON 13.36463;E 100.98007100000
16. Somdet Phra Nyanasamvara ParkKRI-PN 14.02141; E 099.52165Kanchanaburi100000
17. Municipal Public ParkPKN-QN 11.80984;E 099.79892Prachuap Khiri Khan102002
18. Chaloem Phrakiat Rama 9 ParkPKT-RN 07.87949;E 098.37398Phuket100000
19. Free Park (Japan Park)SKA-SN 07.21214;E 100.59496100000
20. Courtyard ParkSKA-TN 07.19175;E 100.59415Songkhla100000
21. Huai Muang ParkUBN-UN 15.24694;E 104.84307Ubon Ratchathani100000
22. Tung Sri Muang ParkUBN-VN 15.22993;E 104.85844100000
23. Rama 5 Public PArkNWT-WN 06.42206;E 101.80879Narathiwat100000
24. Chaloem Phrakiat Health ParkSKM-XN 13.411140;E 100.00183Samut Songkhram101100
25. Municipal Public ParkNYK-YN 14.20273;E 101.21530Nakhon Nayok100000
26. Bueng Kaen Nakhon Public ParkKKN-ZN 16.41813;E 102.83589Khon Kaen100000
27. Thanarak Anusorn Public ParkKKN-AAN 16.43029;E 102.82467100000
28. Bueng Kan Public ParkBKN-ABN 18.36135;E 103.66105Bueng Kan100000
29. Somdej Pra Chao Tak Sin Maharat Public ParkCTI-ACN 12.60178;E 102.10439Chanthaburi100000
30. Chaloem Phrakiat Rama 9 Public PArkCTI-ADN 12.59525;E 102.08495100000
31. Si Mueang ParkNAN-AEN 18.77608;E 100.77496Nan100000
32. Chom Nan Chaloem Phrakiat Public ParkPLK-AFN 16.491.44;E 100.15357Phitsanulok100000
33. Somdej Phra Naresuan Maharat Shrine Maesod ParkTAK-AGN 16.43196;E 98.3437Tak100000
34. Rama 9 ParkSNI-AHN 9.13820;E 99.34894Surat Thani100000
35. Mueang Mukdahan Municipal Golden Jubilee Commemoration Public ParkMDH-AIN 16.54077;E 104.71962Mukdahan100000
Total35352335019118812

Isolation of S. apiospermum species complex

Fungal isolation was performed according to the procedure provided by Luplertlop et al. [7]. In brief, 5 g of soil were suspended in 15 ml sterile distilled water, vigorously mixed, and filtered through 100-μm nylon cell strainers (Falcon, Durham, NC, USA). The filtrate was centrifuged at 7,000 ×g for 5 min, and the supernatant was discarded. The pellet was then re-suspended in 5 ml distilled water. Three 100-μl aliquots were inoculated on three separate plates of Scedo-Select III medium, which was designed and developed to minimize the growth of other rapidly growing fungal species and specifically for the isolation of Scedosporium colonies [8]. The plates were incubated at 35°C for 5 days.

Morphological identification of S. apiospermum species complex

Colony morphologies were visually and microscopically examined according to the procedure of Gilgado et al. [9-10]. A single colony of each morphological type on a given plate was selected for further analysis. Colonies identified as S. apiospermum species complex on the basis of their morphology were inoculated on Scedo-Select III for purification. The colonies isolated from Scedo-Select III plates were then collected and inoculated onto Sabouraud dextrose agar for detailed macroscopic and microscopic observations.

Molecular identification of S. apiospermum species complex

Species isolated from soil, as described above, were inoculated in yeast peptone dextrose broth and incubated at 35°C for 7 days. DNA was extracted using the E.Z.N.A. Fungal DNA mini kit (Omega Bio-tek, Norcross, GA, USA) and amplified using PCR with the β-tubulin (Bt2) gene-specific primers Bt2a: 5′GGTAACCAAATCGGTGCTGCTTTC3′ and Bt2b: 5′ACCCTCAGTGTAGTGACCCTTGGC3′ [11]. Each PCR reaction was performed in a 25-μl mixture that contained 0.5 μM of each primer, KAPA 2G Fast HS ReadyMix PCR kit with a loading dye (KAPA Biosystems, USA), nuclease-free water, and genomic DNA using a T100 Thermal Cycler (Bio-Rad) according to the following protocol: 95°C for 6 min, 35 cycles of 95°C for 1 min, 58°C for 1 min, and 72°C for 45 s, and a final extension step of 72°C for 10 min. Then, 5 μl of the PCR product was electrophoresed on a 1.5% agarose gel that contained SERVA DNA Stain G (SERVA Electrophoresis GmbH, Germany) in 1× TBE buffer. Banding patterns were photographed using the Gel Doc XR+ system (Bio-Rad). PCR products (product size ~ 650 bp) were purified using the FavorPrep GEL/PCR Purification Mini Kit (Favorgen Biotech Corporation, Taiwan) and sequenced using gene-specific forward and reverse primers by AITbiotech Pty Ltd (Singapore). The retrieved sequence files were edited and subjected to pairwise alignment using the BioEdit software (http://www.mbio.ncsu.edu/bioedit/bioedit.html). Edited sequences were compared with existing sequences in GenBank using BLASTn (http://blast.ncbi.nlm.nih.gov/Blast.cgi). The generated nucleotide sequences were deposited in GenBank under accession numbers MF991891 and MG204345−MG204534 (The Genbank accession number provided in Supplementary data S1 Table).

Phylogenetic and genetic diversity analysis

Each sequence was trimmed to the start and end of the gene. The allele number of each sequence was determined using the MLSTest v1.0.1.23 software (downloaded from http://ipe.unsa.edu.ar/software) [12]. Graphic representations of multiple nucleic acid sequence alignments were created using WebLogo 3 (weblogo.threeplusone.com). The best model of evolution was selected from the Bayesian Information Criterion (BIC) in MEGA7 [13]. The model with the lowest BIC score was selected to construct a maximum likelihood phylogenetic tree. A phylogenetic tree of all aligned sequences, excluding gaps, and missing data for the heuristic search was obtained by applying the maximum likelihood approach based on the best model in MEGA7. The tree is drawn to scale, with branch lengths measured in number of substitutions per site. A bootstrap analysis was conducted with 1000 replications, and bootstrap values of ≥50% are shown above the branches. Sequences of reference strains were downloaded from GenBank (S2 Table). All sequences were included in a phylogenetic network of the Bt2 gene created by using the neighbor-net algorithm of SplitsTree4 (downloaded from http://www.splitstree.org/) [14].

Ethics statement

This field study was performed under permission from the Ministry of Education (letter 0517.115/00331), as well as the following authorities concerned with protection of wildlife: Thanong Donchai, Deputy mayor; Chiangmai Province permitted by Chatri Cheuamanochan, Deputy mayor; Nan Province permitted by Arisa Boonsom, Deputy mayor; Phitsanulok Province permitted by Pongsin Sanepong, Deputy mayor; Phra Nakhon Si Ayutthaya Province permitted by Suvera Rinvet, Municipal Clerk; Samut Songkhram Province permitted by Somchai Tonpasert, Mayor; Tak Province permitted by Ananchai Taweeguekolkit, Mayor; Kanchanaburi Province permitted by Kumtorn Pusitkarnchana, Deputy mayor; Prachuap Khiri Khan Province permitted by Pichit Santimethakul, Deputy mayor; Chon Buri permitted by Jutharat Parinwachirapat, Municipal Clerk; Chanthaburi Province permitted by Pirat Atikarnkul, Municipal Clerk; Nakhon Ratchasima Province permitted by Nutcharat Chuhirunwat, Director of Public Works; Khon Kean Province permitted by Thawatchai Wanapithakkul, Mayor; Mukdahan Province permitted by Trirong Thawinprai, Deputy mayor; Nong Khai Province permitted by Winchai Waipat, Deputy mayor; Bueng Kan Province permitted by Witaya Saynjanthichai, Mayor; Ubon Ratchathani Province permitted by Kritchapol Muangnue, Deputy mayor; Surat Thani Province permitted by Suphang Saewong, Deputy mayor; Phuket Province permitted by Thavorn Jirapatsophon, Deputy mayor; Songkhla Province pemitted by Somsak Tanthiseranee, Mayor and Narathiwat Province permitted by Udom Densanthikul, Mayor. The field study did not involve endangered or protected species.

Results

In this study, 350 soil samples were collected from 35 public parks that were distributed across 23 provinces of Thailand (Table 1). In total, 191 morphologically distinct colonies of Scedosporium were selected for species and strain identification based on Bt2 gene sequencing. Of the 191 isolates, 188 were S. apiospermum (76 isolates from Pumrak Park, 44 isolates from Asdang Park, and 32 isolates from Nongkae Chang Park in Nakhon Ratchasima Province; 33 isolates from Bueng Phraram Public Park in Phra Nakhon Si Ayutthaya Province; one isolate from Chaloem Phrakiat Health Park in Samut Songkhram Province; and two isolates from Municipal Public Park in Prachuap Khiri Khan Province), and one isolate of S. dehoogii (TMMI154; isolated from Pumrak Park in Nakhon Ratchasima Province) as summarized in Fig 1. In addition, the species of two isolates (TMMI275 from Nongkae Chang Park in Nakhon Ratchasima Province and TMMI293 from Bueng Phraram Public Park in Phra Nakhon Si Ayutthaya Province) could not be identified.
Fig 1

The distribution of Scedosporium species across six regions of Thailand.

Given the large number of S. apiospermum sequences, we determined the number of Bt2 allele types according to sequence similarity before multiple alignment. From the 188 sequences, we found 67 alleles, with allele frequencies ranging from 1 to 34 individuals sampled (Table 2). A graphic representation of the multiple nucleic acid sequence alignment for these 67 allele types was created, and a phylogenetic tree was constructed (Fig 2). The best model for Bt2 gene analyses was the K2+G model (K2: Kimura-2-Parameter; +G: Gamma distribution), with the BIC score of 6327.810. Therefore, the maximum likelihood phylogenetic tree of the concatenated data set was created based on the K2+G model. A discrete gamma distribution was used to model the evolutionary rate differences among sampling sites [five categories (+G, parameter = 0.0500)].
Table 2

Alleles (A), their frequencies, and the strains with each allele.

AFrequencyStrains (Genbank accession number)
115TMMI111 (MG204346), TMMI112 (MG204347), TMMI113 (MG204348), TMMI114 (MG204349), TMMI115 (MG204349), TMMI116 (MG204351), TMMI118 (MG204353), TMMI119 (MG204354), TMMI123 (MG204358), TMMI124 (MG204359), TMMI126 (MG204361), TMMI128 (MG204363), TMMI129 (MG204364), TMMI130 (MG204365), TMMI155 (MG204389)
234TMMI117 (MG204352), TMMI120 (MG204355), TMMI122 (MG204357), TMMI137 (MG204372), TMMI138 (MG204373), TMMI143 (MG204378), TMMI150 (MG204385), TMMI158 (MG204392), TMMI160 (MG204394), TMMI166 (MG204400), TMMI172 (MG204406), TMMI175 (MG204409), TMMI182 (MG204416), TMMI190 (MG204424), TMMI191 (MG204425), TMMI201 (MG204435), TMMI203 (MG204437), TMMI204 (MG204438), TMMI208 (MG204442), TMMI210 (MG204444), TMMI211 (MG204445), TMMI219 (MG204453), TMMI221 (MG204455), TMMI223 (MG204457), TMMI246 (MG204480), TMMI248 (MG204482), TMMI250 (MG204484), TMMI253 (MG204487), TMMI256 (MG204490), TMMI272 (MG204506), TMMI274 (MG204508), TMMI283 (MG204516), TMMI294 (MG204527), TMMI296 (MG204529)
32TMMI121 (MG204356), TMMI225 (MG204459)
41TMMI125 (MG204360)
517TMMI127 (MG204362), TMMI132 (MG204367), TMMI141 (MG204376), TMMI163 (MG204397), TMMI168 (MG204402), TMMI185 (MG204419), TMMI243 (MG204477), TMMI247 (MG204481), TMMI251 (MG204485), TMMI252 (MG204486), TMMI261 (MG204495), TMMI262 (MG204496), TMMI263 (MG204497), TMMI280 (MG204513), TMMI281 (MG204514), TMMI285 (MG204518), TMMI292 (MG204525)
62TMMI131 (MG204366), TMMI268 (MG204502)
714TMMI133 (MG204368), TMMI153 (MG204388), TMMI161 (MG204395), TMMI179 (MG204413), TMMI238 (MG204472), TMMI239 (MG204473), TMMI244 (MG204478), TMMI249 (MG204483), TMMI257 (MG204491), TMMI270 (MG204504), TMMI271 (MG204505), TMMI282 (MG204515), TMMI286 (MG204519), TMMI301 (MG204534)
83TMMI134 (MG204369), TMMI139 (MG204374), TMMI145 (MG204380)
915TMMI135 (MG204370), TMMI140 (MG204375), TMMI142 (MG204377), TMMI144 (MG204379), TMMI146 (MG204381), TMMI148 (MG204383), TMMI149 (MG204384), TMMI152 (MG204387), TMMI162 (MG204396), TMMI216 (MG204450), TMMI218 (MG204452), TMMI224 (MG204458), TMMI226 (MG204460), TMMI258 (MG204492), TMMI287 (MG204520)
102TMMI136 (MG204371), TMMI197 (MG204431)
111TMMI147 (MG204382)
121TMMI151 (MG204386)
136TMMI156 (MG204390), TMMI157 (MG204391), TMMI213 (MG204447), TMMI214 (MG204448), TMMI284 (MG204517), TMMI289 (MG204522)
141TMMI159 (MG204393)
154TMMI164 (MG204398), TMMI167 (MG204401), TMMI236 (MG204470), TMMI242 (MG204476)
161TMMI165 (MG204399)
171TMMI169 (MG204403)
181TMMI170 (MG204404)
191TMMI171 (MG204405)
206TMMI173 (MG204407), TMMI188 (MG204422), TMMI194 (MG204428), TMMI220 (MG204454), TMMI265 (MG204499), TMMI290 (MG204523)
211TMMI174 (MG204408)
221TMMI176 (MG204410)
232TMMI177 (MG204411), TMMI259 (MG204493)
242TMMI178 (MG204412), TMMI267 (MG204501)
251TMMI180 (MG204414)
261TMMI181 (MG201145)
271TMMI183 (MG204417)
281TMMI184 (MG204418)
291TMMI186 (MG204420)
301TMMI187 (MG204421)
312TMMI189 (MG204423), TMMI195 (MG204429)
326TMMI192 (MG204426), TMMI193 (MG204427), TMMI198 (MG204432), TMMI199 (MG204433), TMMI278 (MG204511), TMMI298 (MG204531)
331TMMI196 (MG204430)
341TMMI200 (MG204434)
351TMMI202 (MG204436)
361TMMI205 (MG204439)
371TMMI206 (MG204440)
381TMMI207 (MG204441)
391TMMI209 (MG204443)
401TMMI212 (MG204446)
412TMMI215 (MG204449), TMMI254 (MG204488)
421TMMI217 (MG204451)
431TMMI222 (MG204456)
441TMMI227 (MG204461)
452TMMI228 (MG204462), TMMI240 (MG204474)
461TMMI229 (MG204463)
471TMMI230 (MG204464)
481TMMI231 (MG204465)
491TMMI232 (MG204466)
501TMMI233 (MG204467)
511TMMI234 (MG204468)
521TMMI235 (MG204469)
532TMMI237 (MG204471), TMMI245 (MG204479)
541TMMI241 (MG204475)
551TMMI255 (MG204489)
561TMMI260 (MG204494)
571TMMI264 (MG204498)
583TMMI266 (MG204500), TMMI291 (MG204524), TMMI297 (MG204530)
591TMMI269 (MG204503)
601TMMI273 (MG204507)
611TMMI276 (MG204509)
621TMMI277 (MG204510)
631TMMI279 (MG204512)
641TMMI288 (MG204521)
651TMMI295 (MG204528)
661TMMI299 (MG204532)
671TMMI300 (MG204533)
Fig 2

Molecular phylogenetic maximum likelihood analysis of the Bt2 gene.

A1−A67 are the allele types.

Molecular phylogenetic maximum likelihood analysis of the Bt2 gene.

A1−A67 are the allele types. We then performed a genetic diversity analysis using the Splits Tree algorithm. Fig 3 shows the genetic associations among all 191 genotyped variants of the Bt2 gene. Strain TMMI154 was clustered with S. dehoogii, whereas TMMI275 and TMMI293 were alone in the Bt2 gene parallelogram, suggesting new species.
Fig 3

Phylogenetic network.

SplitTree decomposition analysis using the neighbor-net algorithm for the Bt2 gene.

Phylogenetic network.

SplitTree decomposition analysis using the neighbor-net algorithm for the Bt2 gene.

Discussion

There are several molecular techniques applied to identify Scedosporium species. Sequencing techniques, including Multi-Locus Sequence Typing (MLST), is widely used for identification of these fungi. The target gene using for sequencing are internal transcribed spacer (ITS), actin, calmodulin exons 3 and 4, the second largest subunit of the RNA polymerase II and Beta-tubulin exon 2–4, manganese superoxide dismutase, transcription elongation 1 alpha, Beta -tubulin exon 5–6 [15]. Researchers have also used the internal transcribe spacer-restriction fragment length polymorphism (ITS-RFLP) technique, M13 PCR fingerprint, quantitative Real-Time PCR (qPCR), PCR-based reverse line blotting (PCR-RLB) and loop-mediated isothermal amplification (LAMP) [16-17]. Isolates should be characterized phenotypically as well as with molecular techniques to confirm Scedosporium species identification. Based on molecular variation, the S. aspiospermum species complex is comprised of S. apiospermum, S. boydii, S. dehoogii, S. aurantiacum, and S. minutisporum (Pseudallescheria minutispora) according to the European Confederation of Medical Mycology/International Society for Human and Animal Mycology [1]. More recently, a new species, S. cereisporum, was isolated by Rougeron et al.; the species was phylogenetically and morphologically closely related to S. aurantiacum [18]. Chen et al. [19] defined the S. apiospermum species complex as S. apiospermum, S. boydii, and S. angusta (P. angusta) based on the phylogenetic analysis of BT2, γ-actin, transcriptional elongation factor 1α, and internal transcribed spacer of the small ribosomal protein 60sS L10 (L1), which distinguished S. minutisporum, S. aurantiacum, and S. dehoogii from the three S. apiospermum species complex. There are currently >10 species of the S. apiospermum species complex [1]. Furthermore, at least five are pathogenic, with infection cases reported in Thailand and across Asia. Therefore, we examined Scedosporium species distribution in the present study. In addition to S. apiospermum, S. boydii infection has been documented in Thailand. S. boydii was specifically isolated from the brain tissue of a renal transplant patient. In the present study, samples from only four of 23 provinces (Nakhon Ratchasima, Phra Nakhon Si Ayutthaya, Samut Songkhram, and Prajuap Khiri Khan) were positive for Scedosporium species; however, at these sites, numerous S. apiospermum strains (188 from 191 isolates) were found. In addition, one isolate of S. dehoogii was identified, whereas two isolates were unidentifiable and thus could be novel species. The two unclassified strains, TMMI 275 and TMMI 293, were closely related to S. angusta and S. apiospermum, respectively. The present study confirms that S. apiospermum inhabits soil in diverse regions of Thailand (northeastern, central, and western), and S. aurantiacum was only isolated from a single site around Bangkok. Therefore, this study demonstrated that Scedosporium distribution for guiding the further perspective in factor related fungal distribution and an impact. Our survey data indicate the prevalence of Scedosporium in different regions of Thailand, which should be useful for the clinician and medical mycologist in diagnosing fungal infections. This information may help clinicians to exclude Aspergillus as a cause of fungal infection.

Conclusion

In conclusion, this study identified soil as an ecological niche of Scedosporium in Thailand. The results provide valuable knowledge to assist future studies to compare genetic relatedness among pathogenic species in the clinical setting and to evaluate infection risk in specific regions.

The information and place of fungal isolated.

(PDF) Click here for additional data file.

Sequences of the reference strains (download from GenBank).

(PDF) Click here for additional data file.
  18 in total

1.  Application of phylogenetic networks in evolutionary studies.

Authors:  Daniel H Huson; David Bryant
Journal:  Mol Biol Evol       Date:  2005-10-12       Impact factor: 16.240

Review 2.  Scedosporium aurantiacum brain abscess after near-drowning in a survivor of a tsunami in Japan.

Authors:  Yutaka Nakamura; Naomi Suzuki; Yoshio Nakajima; Yu Utsumi; Okinori Murata; Hiromi Nagashima; Heisuke Saito; Nobuhito Sasaki; Itaru Fujimura; Yoshinobu Ogino; Kanako Kato; Yasuo Terayama; Shinya Miyamoto; Kyoko Yarita; Katsuhiko Kamei; Toshihide Nakadate; Shigeatsu Endo; Kazutoshi Shibuya; Kohei Yamauchi
Journal:  Respir Investig       Date:  2013-08-20

3.  Molecular phylogeny of the Pseudallescheria boydii species complex: proposal of two new species.

Authors:  Felix Gilgado; Josep Cano; Josepa Gené; Josep Guarro
Journal:  J Clin Microbiol       Date:  2005-10       Impact factor: 5.948

4.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

5.  Identification of Pseudallescheria and Scedosporium species by three molecular methods.

Authors:  Qiaoyun Lu; A H G Gerrits van den Ende; J M J E Bakkers; Jiufeng Sun; M Lackner; M J Najafzadeh; W J G Melchers; Ruoyu Li; G S de Hoog
Journal:  J Clin Microbiol       Date:  2010-12-22       Impact factor: 5.948

6.  The 'species complex' issue in clinically relevant fungi: A case study in Scedosporium apiospermum.

Authors:  Min Chen; Jingsi Zeng; G Sybren De Hoog; Benjamin Stielow; A H G Gerrits Van Den Ende; Wanqing Liao; Michaela Lackner
Journal:  Fungal Biol       Date:  2015-09-16

7.  Molecular and phenotypic data supporting distinct species statuses for Scedosporium apiospermum and Pseudallescheria boydii and the proposed new species Scedosporium dehoogii.

Authors:  Fèlix Gilgado; Josep Cano; Josepa Gené; Deanna A Sutton; Josep Guarro
Journal:  J Clin Microbiol       Date:  2007-12-12       Impact factor: 5.948

8.  Multiple Scedosporium apiospermum brain abscesses after near-drowning successfully treated with surgery and long-term voriconazole: a case report.

Authors:  M Leechawengwongs; S Milindankura; A Liengudom; K Chanakul; K Viranuvatti; P Clongsusuek
Journal:  Mycoses       Date:  2007-11       Impact factor: 4.377

9.  Multilocus sequence typing of Scedosporium apiospermum and Pseudallescheria boydii isolates from cystic fibrosis patients.

Authors:  A Bernhardt; L Sedlacek; S Wagner; C Schwarz; B Würstl; K Tintelnot
Journal:  J Cyst Fibros       Date:  2013-06-12       Impact factor: 5.482

10.  Atypical infections in tsunami survivors.

Authors:  Christian Garzoni; Stéphane Emonet; Laurence Legout; Rilliet Benedict; Pierre Hoffmeyer; Louis Bernard; Jorge Garbino
Journal:  Emerg Infect Dis       Date:  2005-10       Impact factor: 6.883

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1.  Tryptophol Coating Reduces Catheter-Related Cerebral and Pulmonary Infections by Scedosporium apiospermum.

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Journal:  Infect Drug Resist       Date:  2020-07-22       Impact factor: 4.003

2.  Phenomic profiling of a novel sibling species within the Scedosporium complex in Thailand.

Authors:  T Kitisin; S Ampawong; W Muangkaew; P Sukphopetch
Journal:  BMC Microbiol       Date:  2021-02-09       Impact factor: 3.605

3.  In depth search of the Sequence Read Archive database reveals global distribution of the emerging pathogenic fungus Scedosporium aurantiacum.

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Journal:  Med Mycol       Date:  2022-04-09       Impact factor: 3.747

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