Browsing by Subject "16S rRNA gene"

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    Metaomic studies of the dietary impact on the structural and functional diversity of the rumen microbiome
    (2018) Deusch, Simon; Seifert, Jana
    Ruminant production efficiency and related emission of greenhouse gases are mainly determined by the rumen microbiome. The structure and activity of the microbial communities in turn are mostly influenced by the animal’s feed intake. The most widely used forage sources for ruminant production in Europe are corn silage, grass silage and grass hay. Progress in animal production requires optimized feeding strategies which presuppose an improved understanding of the dietary impact on the complex bionetwork residing in the rumen. A broad range of different methods are applicable to investigate archaea and bacteria which represent the most active members of the rumen microbiome. Most rumen studies available are restricted to nucleic acid-based approaches with limited functional insights. To improve knowledge about the prokaryotic communities and their adaptation responses to different animal feeds, it is essential to focus on the actual functions out of numerous possibilities that are encoded by the genomes of the rumen microbiome. Therefore proteins are best suited since representing the actual function of investigated cells combined with phylogenetic information. The major aim of this project was the feasible, first-time establishment of a metaproteomics-based characterization of the ruminal prokaryotic communities to further investigate the dietary impact on the prokaryotic rumen metaproteome. The first part was providing an overview about research that used state of the art technologies to investigate the microbiome of the gastrointestinal tract of farm animals. Yet, Omics-technologies and their combination are rarely employed in livestock science. The considered studies relied mainly on stand-alone, DNA-based molecular methods which clearly emphasized the importance of introducing contemporary methods such as shotgun metaproteomics to study the rumen microbiome and to gain deeper, more complete insights into the actual functions carried out by the specific members of the prokaryotic communities. The second part of the current project focused on a suitable, mass spectrometry-based analysis of the prokaryotic communities in the rumen ecosystem. Metaproteomic studies are challenged by the heterogeneity of the rumen sample matter that contains, besides archaeal and bacterial cells, also eukaryotic cells of rumen fungi and protozoa as well as enormous amounts of plant cells from ingested feed and epithelial cells of the animals. Shotgun metaproteomic studies require the extraction of proteins preferably of the desired target organisms to increase the coverage of the respective metaproteome and the reliability of subsequent protein identifications. This entails the avoidance of undesired proteins present in the rumen samples. In contrast to nucleic acids, proteins cannot be enriched or amplified by PCR thus, optimized sample preparation protocols are necessary in order to retrieve enhanced amounts of prokaryotic instead of plant-derived or other eukaryotic cells before protein extraction and subsequent LC-MS/MS analysis. The final step and the major aim of this project was the in depth analysis of the metaproteome of archaea and bacteria and their adaptive response to the most common forages, corn silage, grass silage and grass hay accessing as well host-related influences and variations between different ecological niches within the rumen. Improved mass-spectrometric measurements and the construction of a customized, sample-specific in-house database for enhanced bioinformatic quantification of proteins yielded comprehensive datasets comprising 8,163 bacterial and 358 archaeal proteins that were identified across 27 samples from three different rumen fractions of three Jersey cows, fed rotationally with three different diets. The functional and structural data of the metaproteomic analysis was further flanked by 16S rRNA gene-based analyses of the archaeal and bacterial community structures and the metabolomes of the rumen fluid fractions were quantified by nuclear magnetic resonance. So far, to the best of our knowledge, there are no studies investigating the metaproteome expressed by the entirety of archaeal and bacterial communities in the different phases of the rumen ecosystem under varying dietary influence. Dietary treatments revealed significant variations in the metaproteome composition and community structures of ruminal bacteria. Host-related effects were not significant. In conclusion, within this project the application of shotgun metaproteomics to characterize the prokaryotic rumen metaproteome was successfully implemented and the obtained results clearly emphasized the benefits of using complementary, state of the art methods to study the microbiome of complex ecosystems like the rumen. Considering the specific functional niches of the rumen microbiome have been shown to be of great importance.
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    The porcine intestinal microbiota : studies on diversity and dietary impact
    (2018) Burbach, Katharina; Seifert, Jana
    The entirety of microbial communities within the gastrointestinal tract is referred to as intestinal microbiota and is predominantly composed of bacteria. Interactions between the microbiota, the host and the diet are essential for maintaining a healthy and functional intestinal ecosystem. The overarching aim of this thesis was the characterization of the porcine intestinal microbiota and further to enhance knowledge about the effects of varying diets. High-throughput sequencing of the 16S rRNA gene facilitates exploration of the taxonomic composition of the microbiota. However, the respective findings may be impaired by methodological variations. Thus, within this thesis, commercial DNA extraction kits are evaluated for their suitability in porcine microbiota analysis. The tested extractions yield into variations of quantity and quality of DNA. The DNA extracts are further used to elucidate the structure of the microbiota by a rapid fingerprinting (Terminal Restriction Fragment Length Polymorphism) and high-resolution sequencing (Illumina amplicon sequencing). While different variable regions of the 16S rRNA gene vary in the taxonomical resolution, sequencing analyses exhibit a good comparability of the two regions V1-V2 and the V5-V6. Furthermore, the microbiota profiles reveal a high consistency by the fingerprinting and sequencing approach but are distinguished by the different DNA extraction kits. Based on criteria of DNA extraction and the depicted microbiota composition, it is recommended to use the FastDNA SPIN Kit for Soil for further analysis of porcine intestinal microbiota. Subsequently, these methodological findings are applied to investigate the impact of varying diets. Illumina amplicon sequencing of the V1-V2 region of the 16S rRNA gene reveals different microbiota structures when diets are solely composed of rye or triticale. Besides the taxonomic analyses of ileal digesta and fecal samples, the concentrations of bacterial metabolites in feces are determined. In summary, rye promotes an increased abundance of saccharolytic bacteria like Lactobacillus, Bifidobacterium, and Prevotella and results in higher concentrations of bacterial metabolites in fecal samples. In contrast, a diet based on triticale is associated with an increased abundance of Clostridium sensu stricto, which may indicate an enhanced cellulolytic potential of the microbiota. When the crude protein content is increased (18%), compared to a lower content (14%), an increased abundance of Lactobacillus is demonstrated in microbiota of ileal digesta samples. However, the content of crude protein did not affect the overall microbiota significantly. In addition, dietary supplementation with probiotic Bacillus spp. shows no effect. In conclusion, these dietary effects on microbiota are considered together with results of a protein digestibility analysis. Moreover, an impact of dietary calcium and phosphorus in combination with different sources of dietary protein is analyzed by fingerprinting approach of digesta samples. Here, the content of calcium-phosphorus shows significant effects on the microbiota of caecal digesta and the putative identities of discriminative variables are determined by a cloning-sequencing approach. Similar, 16S rRNA gene sequencing reveals a significant impact of dietary calcium-phosphorus on the overall fecal microbiota without indicating specific discriminating variables. In combination with the results of a meta-proteomic approach, a gradual adaptation on dietary changes is indicated and consequently, a prolonged adaptation time of three to four weeks is recommended for diet-microbiota studies. This thesis includes a comprehensive analysis of the microbiota across and along the gastrointestinal tract of piglets and explores the dietary inclusion of four levels of insect larvae meal. Feeding insects represent an alternative source of dietary protein, whereby the increased content of chitin indicates a potential shift in microbiota composition compared to a control diet. However, in this case, the structural analysis demonstrates no effects on the overall microbiota’s structure. However, a pairwise comparison between diets reveals significant effects on the microbiota of digesta samples of the small intestine. Dietary inclusion of 5% insect meal increases the abundance of Lactobacillus, whereas the control treatment promotes Bifidobacterium. In conclusion, the results of the present thesis emphasize the importance of standardization within 16S rRNA gene based studies of the porcine intestinal microbiota. Furthermore, the necessity of studying various sampling sites combined with multidisciplinary approaches is demonstrated.