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Bioinformatic Tool for Classification of Bacteria into Taxonomic Categories Based on the Sequence of 16S rRNA Gene
Valešová, Nikola ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
Tato práce se zabývá problematikou automatizované klasifikace a rozpoznávání bakterií po získání jejich DNA procesem sekvenování. V rámci této práce je navržena a popsána nová metoda klasifikace založená na základě segmentu 16S rRNA. Představený princip je vytvořen podle stromové struktury taxonomických kategorií a používá známé algoritmy strojového učení pro klasifikaci bakterií do jedné ze tříd na nižší taxonomické úrovni. Součástí práce je dále implementace popsaného algoritmu a vyhodnocení jeho přesnosti predikce. Přesnost klasifikace různých typů klasifikátorů a jejich nastavení je prozkoumána a je určeno nastavení, které dosahuje nejlepších výsledků. Přesnost implementovaného algoritmu je také porovnána s několika existujícími metodami. Během validace dosáhla implementovaná aplikace KTC více než 45% přesnosti při predikci rodu na datových sadách BLAST 16S i BLAST V4. Na závěr je zmíněno i několik možností vylepšení a rozšíření stávající implementace algoritmu.
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Biofilm formation in probiotic cultures and its application in pharmacy
Ryšávka, Petr ; Obruča, Stanislav (referee) ; Vorlová, Lenka (referee) ; Márová, Ivana (advisor)
The work was comprehensively focused on the development of adhesive forms of probiotics in the form of a biofilm on combined carriers with a prebiotic component. The second part dealed with the influence of food on the multiplication and survival of selected types of probiotic bacteria. Subsequently, the effect of individualized probiotic supplements on changes in the human intestinal microbiome was monitored. Suitable adherent probiotic strains for biofilm formation were selected and tested. Methods have been introduced and different variants of carriers for culturing and binding bacteria have been tested. In vitro experiments verified the stability of biofilm stucture and its resistance to low pH, bile and antibiotics in comparison with the planktonic cell form. The antimicrobial effect of probiotic strains in the form of a biofilm was studied. The cultivation of the multispecies biofilm on the combined carrier was optimized and the stability of the biofilm and the final viability of probiotic bacteria were confirmed. Furthermore, the influence of various foods and beverages on the viability of probiotic bacteria was evaluated with emphasis on the simulation of passage through the gastrointestinal tract. Both models, solutions with standardised concentrations of alcohol, sugar, salts, proteins or different pH and different types of real foods and beverages were tested. The effect of food and beverages was tested on monocultures of Lactobacillus acidophilus, Bifidobacterium breve and on probiotic capsules containing a mixed culture of probiotic microorganisms. The survival of probiotics in various food matrices in the simulated gastrointestinal tract was quantitatively different. We managed to define foods suitable for supporting the multiplication of probiotic bacteria. A separate part of the work was focused on the targeted modulation of the intestinal microbiome by individualized probiotics that were prepared on the basis of molecular biological analyzes of the intestinal microbiome aimed at detecting the percentage of lactobacilli, bifidobacteria and phylum Firmicutes and Bacteroidetes. Personalized probiotic supplementation confirmed the positive effect of this approach on microbiome changes, especially on the increase of the content of lactobacilli, bifidobacteria and the overall diversity of the microbiome.
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Web Application for Primer Selection for 16S rRNA Amplicon Sequencing
Jurča, Jan ; Martínek, Tomáš (referee) ; Smatana, Stanislav (advisor)
Main goal of this thesis was an implementation of web application, that can evalutate and recommend primer pairs for 16S rRNA amplicon sequencing, according to users specific needs and by this simplify the procces of primer pair selection. Primer pair evaluation is based on database of primer pairs, which contains data about senzitivity and specifity of each primer pair. Part of the work was also the performance optimization of the primer pair analysis algorithm, that computes senzitivity and specifity data. This optimization helped in an integration of algorithm into the application, which means that users can submit their own primer pair sequences, run analysis and get informations about position of amplified region, sensitivity and specifity.
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Tool for Visualization of Microbiome Data
Mišáková, Silvia ; Martínek, Tomáš (referee) ; Smatana, Stanislav (advisor)
Táto práca sa zameriava na vytvorenie nového nástroja pre vizualizáciu mikrobiomových dát. Vytvorený nástroj používa pre redukciu dimenzií analýzu hlavných komponent (PCA) a analýzu hlavných súradníc (PCoA). V prípade výpočtu dištančnej matice sú použité metriky Bray-Curtis odlišnosť a UniFrac. Spracované dáta sú následne ofarbené na základe užívateľom zvolených metadát. Výsledky sú prezentované pomocou dvoch typov grafov. Prvý z nich je stĺpcový a zobrazuje podiel každej hlavnej zložky. Druhý, bodový graf, vizualizuje konečný výsledok požadovanej analýzy. V rámci práce bola pridaná možnosť stiahnuť si vypočítanú maticu a taktiež tabuľku prvých N hlavných zložiek vypočítaných danou analýzou.
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Bacteria Classification Based on Marker Genes
Pelantová, Lucie ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
The aim of this work is proposal of new method for bacteria classification based on sequences of marker genes. For this purpose was chosen 10 marker genes. Resulting MultiGene classifier processes data set by dividing it in several groups and choosing gene for each group which can distinguish this group with best results. This work describes implementation of MultiGene classifier and its results in comparison with other bacteria classifiers and with classification based entirely on gene 16S rRNA.
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Bacteria Classification into Taxonomic Categories Based on Properties of 16s rRNA
Grešová, Katarína ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
The main goal of this thesis was to design and implement a tool that would be able to classify the sequences of the 16S rRNA gene into taxonomic categories using the properties of the 16S rRNA gene. The created tool analyzes all input sequences simultaneously, which differs from common classification approaches, which classify input sequences individually. This tool relies on the fact that bacteria contain several copies of the 16S rRNA gene, which may differ in sequence. The main contribution of this work is design, implementation and evaluation of the capabilities of this tool. Experiments have shown that the proposed tool is able to identify the corresponding bacteria for smaller datasets and determine the correct ratios of their abundances. However, with larger datasets, the state space becomes very large and fragmented, which requires further improvements in order for it to search the state space in an efficient way.
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Bioinformatic Tool for Estimation of Abundances of Bacterial Functional Molecules in Biological Samples Based on 16S rRNA Metagenomic Data
Bieliková, Michaela ; Hon, Jiří (referee) ; Smatana, Stanislav (advisor)
Ľudské telo je prostredím pre život neuveriteľného množstva mikróbov. Niektoré z nich môžu spôsobovať rôzne choroby, ale ďalšie, napríklad črevný mikrobióm, sú pre život a zdravie človeka nepostrádateľné. Nanešťastie, črevný mikrobióm nie je detailne preštudovaný, pretože obsahuje tisíce rôznych druhov baktérií, z ktorých väčšina sa nedá kultivovať v laboratórnych podmienkach. Riešením tohto problému sú nové rýchle metódy sekvenovania v kombináciou s bioinformatickými nástrojmi na výpočet funkčného profilu baktérií vo vzorke. V tejto práci si predstavíme existujúce nástroje predpovedajúce funkčný profil, a následne navrhneme nový nástroj, ktorý môže implementovať konsenzus nad výsledkami existujúcich nástrojov, alebo sa môže jednať o úplne nový nástroj.
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DNA extraction from cheeses for polymerase chain reaction analysis
Mohelský, Tomáš ; Rittich, Bohuslav (referee) ; Španová, Alena (advisor)
This work was focused on DNA isolation from cheeses for the use in polymerase chain reaction. First, there was optimised the procedure of homogenisation of different types of cheeses from commercial sources, cell lysis and DNA isolation. DNA was isolated using magnetic microspheres and phenol extraction. It was shown that the DNA was amplified in PCR for domain Bacteria after dilution. Next, there was optimised the procedure of DNA isolation from fresh cheeses and from contaminated fresh cheeses and their pickles. DNA from all samples was amplified in PCR. The presence of DNA of domain Bacteria and yeast DNA was demonstrated. In the last part of the work, there were optimised the preparation of PCR mixtures and bacterial DNA amplification in PCR with primers with clamp (F357-GC and R518). Synthetized PCR products were analysed using DGGE. It was shown that amplicons of DNA isolated from cheeses and pickles differ in positions and numbers. Larger number of bands of different intensities was detected after amplification of DNA isolated from contaminated pickles.
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Metagenomic analysis of animal gut microbioma based on diet
Spanakis, Martin ; Čejková, Darina (referee) ; Bartoň, Vojtěch (advisor)
This bachelor’s thesis deals with the sequencing of the microbiome and its composi- tion. It focuses on the gut microbiome of animals, which differs among animals with different diets. The work describes theoretical knowledge about metagenomic analysis of the microbiome, such as sampling procedures, various sequencing methods and data processing. The practical part of the work includes the preparation of the dataset, which includes the collection of data and their preparation for the following metagenomic anal- ysis. The result of the work is the taxonomic classification of bacterial species in the samples and the analysis of their diversity according to the type of diet of individual animals.
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Processing and analysis of the human gut microbiome from 16S rDNA sequencing data
Zbudilová, Michaela ; Jurečková, Kateřina (referee) ; Nykrýnová, Markéta (advisor)
This bachelor´s thesis deals with the analysis of the human intestinal microbiome from 16S rRNA data. In the first part, the intestinal microbiome is theoretically described, and then the methods of its processing and evaluation using analysis of taxonomic categories and sample diversity are mentioned. The second part focuses on the data processed in the thesis and the format in which those data are provided. In the third part, the proposed algorithm used to process the data is described, and the results obtained by running this algorithm are evaluated. In the fourth part of the thesis, the samples from the University Hospital Brno are processed using the proposed algorithm. The last part of the thesis focuses on the script, which is used to generate the reports which can be used for diagnostic purposes in the University Hospital Brno.
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