2015
DOI: 10.1093/mmy/myv080
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Semi-automated repetitive sequence-based PCR amplification for species of theScedosporium apiospermumcomplex

Abstract: These results illustrate the efficacy of rep-PCR for both species identification within the S. apiospermum complex and genotyping for the two major species of this complex.Abstract presentation: Part of this work was presented during the 18th Congress of the International Society for Human and Animal Mycology, Berlin (Germany), June 2012.S. Giraud, C. Godon, A. Rougeron, J.P. Bouchara and L. Favennec are members of the ECMM/ISHAM working group on Fungal respiratory infections in Cystic Fibrosis(Fri-CF).

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Cited by 14 publications
(7 citation statements)
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“…rep-PCR has been previously used successfully for species and/or strain differentiation in several fungal groups, including Candida and Aspergillus species, as well as dermatophytes and some dimorphic fungi (25,26,27,28,29). Recently, Matray et al (23) showed that this method also allows species identification within the Scedosporium apiospermum species complex, another group of sibling species encountered in patients with CF, as well as in CGD patients. rep-PCR analysis of our set of isolates revealed a clustering consistent with data from ITS or beta-tubulin sequencing, thereby demonstrating that this method is also suitable for species identification within the R. argillacea complex.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…rep-PCR has been previously used successfully for species and/or strain differentiation in several fungal groups, including Candida and Aspergillus species, as well as dermatophytes and some dimorphic fungi (25,26,27,28,29). Recently, Matray et al (23) showed that this method also allows species identification within the Scedosporium apiospermum species complex, another group of sibling species encountered in patients with CF, as well as in CGD patients. rep-PCR analysis of our set of isolates revealed a clustering consistent with data from ITS or beta-tubulin sequencing, thereby demonstrating that this method is also suitable for species identification within the R. argillacea complex.…”
Section: Discussionmentioning
confidence: 99%
“…DNA was quantified using a NanoDrop spectrometer (Thermo Fisher Scientific, Illkirsch, France) for a target value of Ն25 ng/ml. PCR amplification of repetitive DNA sequences was realized using the DiversiLab fungal kit (bioMérieux) as described previously (23). Amplicons were separated by capillary electrophoresis on an Agilent 2100 bioanalyzer (Massy, France).…”
Section: Methodsmentioning
confidence: 99%
“…apiospermum strains. Our results detected a close relationship between the environmental strains from Thailand and the clinical strains from France [15], China and Japan [28]. Therefore, French, Chinese and Japan isolates originated in Thailand also.…”
Section: Discussionmentioning
confidence: 57%
“…[13]. The MLST scheme amplifies sequences at five genetic loci–actin (ACT), calmodulin exons 3 and 4 (CAL), the second largest subunit of RNA polymerase II gene (RPB2), ß-tubulin exons 2–4 (BT2), and manganese superoxide dismutase (SOD2) and has been found to have strong repeatability [1315]. The allele types (ATs) and sequences types (STs) numbers of the consensus MLST scheme can be obtained through the Fungal MLST Database (http://mlst.mycologylab.org/).…”
Section: Introductionmentioning
confidence: 99%
“…Nucleotide sequence-based analysis is the current gold standard for fungal identification; rDNA internal transcribed spacer (ITS) sequencing appropriately identifies the main species in Scedosporium , but the partial β-tubulin gene ( BT2 ) is required to differentiate closely related species [ 8 , 9 ]. Matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF MS) has become available for the first-line identification of filamentous fungi, as its accuracy is comparable to that of DNA sequencing, but it is not routinely available at many medical centers [ 10 ].…”
Section: Scedosporiosismentioning
confidence: 99%