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Publication The intestinal microbiome and metabolome of dairy cows under challenging conditions(2022) Tröscher-Mußotter, Johanna; Seifert, JanaThe modern dairy cow is confronted with a multitude of stressors throughout live. Especially calving, transition, and microbial infections are strong challenges that can have long-lasting impacts on the cow’s health and performance. Yet, individuals can differ in their response towards these challenges, raising the question which characteristics in the dairy cow contribute to a more or less robust animal. Apart from genetics, the gut microbiome and the entailed metabolome is assumed to play an important role in buffering or promoting host stress. This is also due to the fact that the gut microbiome is strongly involved in the hosts energy metabolism and immune system. As dairy cows often show performance impairments during high energy demanding periods, it could be suggested that improving energy metabolism in these specific phases might reduce the negative phenotypic outcomes. This was tested using dietary L-carnitine, a metabolite inevitably necessary for energy metabolism. However, no supplement effects on the intestinal microbiome or metabolome have been found in the present work. Supplementation was continued throughout the complete trial. Calving functioned as an individual stimulus, and an intra-venous LPS injection induced a standardized inflammatory challenge, as a specific amount of LPS per kg of bodyweight was applied per cow. Supplemented animals were compared to a control group. In total, the animals were studied across 168 days and sampled extensively at several sites. The focus of this thesis was to analyze the bacterial consortia and metabolites of both, host and bacteria, in rumen, duodenum, and feces throughout the given period. This was to elucidate the metabolic reactions and bacterial shifts during the mentioned challenging periods and their response to the L-carnitine supplementation. First, the ruminal and duodenal fluid microbiome of eight double cannulated animals during the two respective challenges was analysed. Before calving and feed change, rumen and duodenal fluid bacterial consortia were significantly different, thereafter very alike. Strong microbial community shifts were observed throughout the complete trial irrespectively of the matrix. Both matrices varied in their metabolite patterns indicating functional variation among sites. Also, a strong increase of Bifidobacterium at three days after calving was observed in almost all animals pointing towards a strong biological purpose. This needs to be investigated in upcoming studies. The study could show increasing ketogenic activities in the animals after calving and proposes a possible protective host-microbial interaction, against a ruminal collapse induced by LPS challenge, here described as "microbial airbag". The second part included fecal samples of the same animals, which were analyzed for their bacterial consortia and targeted metabolites. Different dynamics and diversities of microbial communities amongst the individuals were observed, according to which animals could be grouped into three microbiome clusters. These showed in part fundamentally different metabolic, health, and performance parameters, indicating strong host-microbiome-metabolite interactions. The study demonstrated that microbiome clustering may contribute to identifying different metabo- and production types. Again, the study observed a strong increase of Bifidobacterium at three days after calving and even during the LPS challenge supporting the findings of the former study. This strengthens the hypothesis that also for the cow Bifidobacterium may have protective effects, as this genus is largely involved in health promoting activities. The power of this project lies in the massive sampling of different body sites in dairy cows across a very long period of time and finally, merging of the collected data. This, however, requires high computational efforts as numerous time points, matrices, animals, measurements, treatments, feeding regimen, and challenges resulted into a large bandwidth of parameters and metadata. Yet, it bears the potential to better elucidate and understand actions and reactions of the host, its microbiome and metabolism, as well as organ-axes in dairy cows and thereby gaining a more holistic picture of these complex animals. The aim of analyzing the host, its microbiome and metabolome throughout challenging periods resulted into the following main findings. Time, calving, and feed change remarkably change the microbial communities and to a lesser extent the metabolomes in all three matrices. Rumen and proximal duodenal fluid samples significantly differ in their metabolomes but not in their microbiome. In all matrices, an increase of Bifidobacterium is seen within three days after calving, which has to be further researched. Across the herd, three distinct microbiome clusters are found, which significantly differ in their production and health parameters.