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Isolation, Identification and Characterisation of Microbial Communities of Wine and Selected Foods
Šuranská, Hana ; Španová, Alena (referee) ; Jarošová, Alžběta (referee) ; Omelková, Jiřina (advisor)
Proposed dissertation thesis deals with wine and artisanal cheeses microbiology. The first part is focused on identification of yeasts isolated from grapes and musts during production of white and red wines. The grape varieties were grown under the integrated and organic farming on Moravian vineyard. Yeasts were identified by ITS-PCR-RFLP method (amplifying internal transcribed spacer ITS: ITS1, ITS2 and 5.8S rDNA) and unknown species were subjected to partial sequencing of ITS rDNA region. In total, 524 isolates were divided into 14 different species belonging to six genus were identified from. The first stages of fermentation process were characterised by predominance of non-saccharomyces species especially H. uvarum. Due to increased ethanol concentration strains of S. cerevisiae prevailed in the later phases of the process. Further, partial aim of this study was to isolate and to apply selected autochthonous S. cerevisiae strains as starter culture during controlled industrial wine fermentation process. Genus Saccharomyces was distinguished from other non-saccharomyces species by ITS-PCR-RFLP. Further, in order to distinguish Saccharomyces genus at the species and the strain level, several molecular methods were applied including PCR-fingerprinting (rep- and RAPD-PCR), species-specific primers (multiplex and touchdown PCR), LSU-DGGE and interdelta PCR. Species-specific primers enabled us to distinguish some species of the Saccharomyces sensu stricto complex. Furthermore, interdelta PCR seems to be useful tool for S. cerevisiae strains identification. Among 120 isolated autochthonous strains belonging to Saccharomyces genus, 45 different strains were identified. Based on its sufficient technological properties (osmo- and ethanol tolerance, low H2S production etc.), S. cerevisiae 1-09 strain isolated from grape berries coming from moravian vineyard was chosen. Strain S. cerevisiae 1-09 was tested in small amount of must and after that also during industrial fermentation of red and white wine production. Based on the results of chemical and sensorial analysis, the strain seems to be suitable for application as the starter culture for winemaking process. The final part of this thesis is focused on quantification and identification of the yeasts isolated from artisanal cheeses and their by-products coming from Western Balkan Countries. Isolated species were identified by ITS-PCR-RFLP, partial sequencing and by physiological tests. Among the 20 yeast species found, D. hansenii, C. zeylanoides and Y. lipolytica were found to be predominant. Moreover, we developed culture-independent, semi-quantitative technique based on construction of ITS-clone library from metagenomic DNA to investigate complex fungal communities associated with artisanal cheeses and their by-products. Novel technique is based on direct extraction of total DNA from the sample. This was compared with culture-dependent ITS-PCR-RFLP and culture-independent LSU-DGGE methods. The results highlighted the discrepancies among these methods. Finally, the divergences among applied methods were confirmed by correlation analysis and by indices of general biodiversity and dominance of species. ITS-clone library approach combines the advantages of cultivation-based analysis and LSU-DGGE with semi-quantification of fungal species without the requirement of their cultivation. This study might open new perspectives in direct and complex analysis of yeasts and moulds in food matrices.
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Identification of wine yeasts by PCR-RFLP method
Šuranská, Hana ; Vojtíšková, Marie (referee) ; Vránová, Dana (advisor)
This thesis deals with identification of the wine yeasts by applying the PCR-RFLP method. The identification and characteristic of the yeasts has gone through substantial changes in recent years. There have been introduced new methods of taxonomic classifying based on the molecular methods, which are oriented to easy and fast identification. One of these methods is the PCR-RFLP method. The amplification of the 5•8S-ITS rDNA sequence by the polymerase chain reaction with use of the primers ITS1 and ITS4 leads to the amplification of the specific sequence of DNA. Such multiplied DNA is after repurifying by the ethanol and drying submitted to the restriction analysis. With use of the restriction endonuklases DNA is chopped into the specific segments typical for the particular genus. The chopped fragments can be separated in the electric field in the agarose gel and subsequently evaluated. In this thesis together 63 type yeasts were used. These yeasts were analysed by applying of the seven restriction endonuklases – HaeIII, HhaI, HinfI, HpaII, TaqI, AluI a MseI. The final image of type yeasts splitting was compared to the results of splitting of already identified wine yeasts and these yeasts were subsequently taxonomically classified. Evaluation of genetic similarity was conducted by program BioNumerics and as the results the dendrograms that were created with use of Jaccard‘s coefficients are obtained.
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Isolation, Identification and Characterisation of Microbial Communities of Wine and Selected Foods
Šuranská, Hana ; Španová, Alena (referee) ; Jarošová, Alžběta (referee) ; Omelková, Jiřina (advisor)
Proposed dissertation thesis deals with wine and artisanal cheeses microbiology. The first part is focused on identification of yeasts isolated from grapes and musts during production of white and red wines. The grape varieties were grown under the integrated and organic farming on Moravian vineyard. Yeasts were identified by ITS-PCR-RFLP method (amplifying internal transcribed spacer ITS: ITS1, ITS2 and 5.8S rDNA) and unknown species were subjected to partial sequencing of ITS rDNA region. In total, 524 isolates were divided into 14 different species belonging to six genus were identified from. The first stages of fermentation process were characterised by predominance of non-saccharomyces species especially H. uvarum. Due to increased ethanol concentration strains of S. cerevisiae prevailed in the later phases of the process. Further, partial aim of this study was to isolate and to apply selected autochthonous S. cerevisiae strains as starter culture during controlled industrial wine fermentation process. Genus Saccharomyces was distinguished from other non-saccharomyces species by ITS-PCR-RFLP. Further, in order to distinguish Saccharomyces genus at the species and the strain level, several molecular methods were applied including PCR-fingerprinting (rep- and RAPD-PCR), species-specific primers (multiplex and touchdown PCR), LSU-DGGE and interdelta PCR. Species-specific primers enabled us to distinguish some species of the Saccharomyces sensu stricto complex. Furthermore, interdelta PCR seems to be useful tool for S. cerevisiae strains identification. Among 120 isolated autochthonous strains belonging to Saccharomyces genus, 45 different strains were identified. Based on its sufficient technological properties (osmo- and ethanol tolerance, low H2S production etc.), S. cerevisiae 1-09 strain isolated from grape berries coming from moravian vineyard was chosen. Strain S. cerevisiae 1-09 was tested in small amount of must and after that also during industrial fermentation of red and white wine production. Based on the results of chemical and sensorial analysis, the strain seems to be suitable for application as the starter culture for winemaking process. The final part of this thesis is focused on quantification and identification of the yeasts isolated from artisanal cheeses and their by-products coming from Western Balkan Countries. Isolated species were identified by ITS-PCR-RFLP, partial sequencing and by physiological tests. Among the 20 yeast species found, D. hansenii, C. zeylanoides and Y. lipolytica were found to be predominant. Moreover, we developed culture-independent, semi-quantitative technique based on construction of ITS-clone library from metagenomic DNA to investigate complex fungal communities associated with artisanal cheeses and their by-products. Novel technique is based on direct extraction of total DNA from the sample. This was compared with culture-dependent ITS-PCR-RFLP and culture-independent LSU-DGGE methods. The results highlighted the discrepancies among these methods. Finally, the divergences among applied methods were confirmed by correlation analysis and by indices of general biodiversity and dominance of species. ITS-clone library approach combines the advantages of cultivation-based analysis and LSU-DGGE with semi-quantification of fungal species without the requirement of their cultivation. This study might open new perspectives in direct and complex analysis of yeasts and moulds in food matrices.
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Identification of wine yeasts by PCR-RFLP method
Šuranská, Hana ; Vojtíšková, Marie (referee) ; Vránová, Dana (advisor)
This thesis deals with identification of the wine yeasts by applying the PCR-RFLP method. The identification and characteristic of the yeasts has gone through substantial changes in recent years. There have been introduced new methods of taxonomic classifying based on the molecular methods, which are oriented to easy and fast identification. One of these methods is the PCR-RFLP method. The amplification of the 5•8S-ITS rDNA sequence by the polymerase chain reaction with use of the primers ITS1 and ITS4 leads to the amplification of the specific sequence of DNA. Such multiplied DNA is after repurifying by the ethanol and drying submitted to the restriction analysis. With use of the restriction endonuklases DNA is chopped into the specific segments typical for the particular genus. The chopped fragments can be separated in the electric field in the agarose gel and subsequently evaluated. In this thesis together 63 type yeasts were used. These yeasts were analysed by applying of the seven restriction endonuklases – HaeIII, HhaI, HinfI, HpaII, TaqI, AluI a MseI. The final image of type yeasts splitting was compared to the results of splitting of already identified wine yeasts and these yeasts were subsequently taxonomically classified. Evaluation of genetic similarity was conducted by program BioNumerics and as the results the dendrograms that were created with use of Jaccard‘s coefficients are obtained.
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