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<p>Bovine respiratory disease (BRD) is an ongoing health and economic issue in the dairy and beef cattle industry. Also, there are multiple risk factors that make an animal susceptible to BRD and it's diagnosis and treatment is a challenge for producers. Four bacterial species, <em>Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, </em>and<em> Mycoplasma bovis</em> have been associated with BRD mortalities. Hence, this study aims to characterize the cattle nasal microbiome as a potential additional diagnostic method to identify animals suspected to have a lung infection. Quantitative PCR and 16S rRNA gene sequencing were used to determine the bacterial load of these four bacterial pathogens in the nasal microbiome of apparently healthy (N=75) and (N=58) affected by BRD Holstein steers. We then sought to identify a value or equation that could be used to discriminate between BRD and healthy animals using a Linear Discriminant Model (LDA). Additionally, co-occurrence between commensal bacterial and BRD-pathogens were also identified. Cattle diagnosed with BRD presented lower richness, evenness and phylogenetic diversity than healthy pen-mates. Bacterial species and genera <em>Truperella pyrogenes </em>and <em>Bibersteina</em> were increased in the BRD group, and the species <em>Mycoplasma bovirhinis</em> and <em>Clostridium sensu stricto</em> increased in the healthy group. Prevalence of <em>H. somni </em>(98%)<em> </em>and <em>P. multocida </em>(97%) were the highest regardless of disease diagnosis in all the samples. Prevalence of <em>M. haemolytica </em>(81 vs. 61%) and<em> M. bovis </em>(74 vs. 50.7%) were higher in the BRD group. The bacterial density of <em>M. haemolytica</em> and<em> M. bovis </em>was also higher in the BRD group, whereas <em>Histophilus somni</em> was lower in the BRD group. Five different models were tested using LDA, and one model produced a sensitivity and specificity of 60% and 81% agreement with diagnosis based on animal symptoms. Co-occurrence analysis demonstrated that the nasal microbiome members are more likely to interact with each other than associations between BRD-pathogens and nasal microbiome members. This study offers insight into the BRD-pathogens prevalence and difference in nasal microbiome between healthy and BRD animals and provides a potential platform for future studies and potential pen-side diagnostic testing.</p>

Antibiotics are one of the greatest discoveries in medicine, and emerged resistances have become a global threat. It is theorized that a big part of the antibiotic resistance genes come from the environment, and wastewater treatment plants and hospitals are considered a great breeding ground for the spread of these. The aim of this project is to analyse the microbiome and resistome of the wastewater of Uppsala and to evaluate the efficiency in the elimination of antibiotic resistance genes and bacteria. Samples from the University Hospital and the influents, sand filter and effluent of the Wastewater Treatment Plant were collected, DNA was extracted and sequenced to be analysed through metagenomics to explore them taxonomically and looking for resistance genes. Bacteria were also isolated, and their resistances were analysed. Taxonomical differences became noticeable in Order, Family, Genus and Species, with an increase of diversity in the Effluent samples. A total of 233 resistance genes were found in all the samples. There was a clear reduction in the number of resistance genes in the Effluent samples. However, there was an important number of genes carried in these and some prevail through all the path. Within all the isolates collected, from a total of 11, three E. coli isolates, one C. freundii and one E. cloacae presented resistances. Our study shows that the effluent of the wastewater treatment plant of Uppsala is potentially causing a negative impact on the environment, flushing out water not completely free of antibiotic resistance genes and resistant bacteria.

The gut microbiome plays a vital role in human health. Disturbances of this microbial system is associated with diseases such as obesity and inflammatory bowel disease. In populations of microbial species, many organisms partake in byproduct cross-feeding interactions, where byproducts from one organism are consumed by other microbes. Using the digital evolution software Avida, I studied the effect of recurring perturbations and imperfect resource conversion on the evolution of byproduct cross-feeding chains in digital communities. To investigate the effect of perturbation and conversion rate on digital organisms, I evolved digital communities for 200,000 updates in an unperturbed environment that could hold 50 different resource types, each produced as a byproduct of consuming another resource. At 200,000 updates, 50 or 60 % of all organisms were removed at various intervals during periods of different lengths, with a conversion rate less than 100 % between resources in the byproduct chain. I found that 0.9 conversion rate caused communities to evolve longer cross-feeding chains. A conversion rate of 0.5 resulted in communities with much shorter chains, more similar in length to byproduct chains in the human gut. Perturbation events seem to affect chain length only under certain conditions when energy is lost between resources, for example when 60 % of all organisms were removed every 50th update on average. It appears that conversion loss makes digital communities more robust against the effects of perturbations, and that it might protect these communities from going extinct.

Le choléra est une infection diarrhéique aiguë qui représente encore aujourd’hui un grave problème de santé publique dans les pays où l’accès à l’eau potable et un système d’assainissement adéquat ne peut pas être garanti. Vibrio cholerae, le pathogène bactérien responsable de cette maladie, peut provoquer toute une série de symptômes chez les individus infectés, allant d’une diarrhée intense conduisant à une déshydratation sévère, au portage asymptomatique de la bactérie. Bien que notre compréhension du choléra à une échelle macro-épidémiologique a considérablement été améliorée par le développement des techniques de séquençage à haut débit et par les avancées dans le domaine de la génomique bactérienne, aucune étude n’a encore été menée pour caractériser son évolution à l’échelle des individus infectés. De plus, le rôle des porteurs asymptomatiques au sein d’une épidémie et la raison derrière l’absence de symptômes chez ces individus infectés sont encore méconnus. L’objectif principal de cette thèse est donc de (1) caractériser la diversité génomique de V. cholerae au niveau des individus et des cercles familiaux, mais aussi (2) d’évaluer le rôle potentiel du microbiome intestinal dans la susceptibilité de contracter cette maladie entérique aiguë et de présenter des symptômes sévères. Dans un premier temps, nous caractérisons la diversité génomique de colonies isolées à partir de patients symptomatiques. Le séquençage de génomes entiers de souches provenant de patients du Bangladesh et d’Haïti révèle que cette diversité sous la forme de mutations ponctuelles reste limitée, mais détectable au sein des hôtes. Une grande partie de la variation du contenu génétique semble être surtout due au gain et à la perte de phages et de plasmides au sein de la population de V. cholerae, avec des échanges occasionnels entre le pathogène et d’autres membres commensaux du microbiote intestinal. Cela contredit l’hypothèse couramment acceptée que les infections par V. cholerae sont majoritairement clonales, et confirme que le transfert horizontal de gènes est un facteur important dans l’évolution de V. cholerae. De plus, nos résultats montrent que certains de ces variants peuvent avoir un effet phénotypique, impactant par exemple la formation de biofilms, et peuvent être sélectionnés au sein des individus infectés. Par la suite, nous appliquons une association de méthodes de séquençage de génomes entiers et de méthodes métagénomiques afin d’améliorer la détection des variants intra-hôte, à la fois chez des patients symptomatiques, mais aussi chez des porteurs asymptomatiques. Notre étude montre que l’approche métagénomique offre une meilleure résolution dans la détection de la diversité dans la population microbienne, mais reste difficile à appliquer chez des patients asymptomatiques, en raison du faible nombre de cellules de V. cholerae chez ces patients. Dans l’ensemble, nous constatons que le niveau de diversité au sein de la population bactérienne intra-hôte est similaire entre les patients symptomatiques et asymptomatiques. Nous détectons aussi la présence de souches hypermutantes chez certains patients. De plus, alors que les mutations chez les patients porteurs de phénotypes d’hypermutations ne semblent pas sous l’effet de la sélection, des signes d'évolution parallèle sont détectés chez les patients présentant un plus faible nombre de mutations, suggérant des mécanismes d’adaptation au sein de l’hôte. Nos résultats soulignent la puissance de la métagénomique combinée au séquençage de génomes entiers pour caractériser la diversité intra-hôte dans le cas d’une infection aiguë du choléra, mais aussi dans le cas de portage asymptomatique, tout en identifiant pour la première fois le phénotype d’hypermutation chez des patients infectés. Finalement, nous nous intéressons aux facteurs liés à la susceptibilité à la maladie et à la sévérité des symptômes. Basée sur une étude récente utilisant le séquençage 16S pour montrer le lien potentiel entre le microbiome intestinal et la susceptibilité à l’infection par V. cholerae, nos analyses utilisent les méthodes de séquençage métagénomique sur les mêmes échantillons de cette précédente étude afin de caractériser les profils taxonomiques et fonctionnels du microbiome intestinal de contacts familiaux exposés à V. cholerae. Les échantillons sont prélevés avant l’infection de ces contacts familiaux et l’apparition ou non de symptômes, et sont analysés pour identifier des prédicteurs à la maladie symptomatique. Grâce à un algorithme d’apprentissage machine, nous pouvons identifier des espèces, des familles de gènes et des voies métaboliques du microbiome au moment de l'exposition à V. cholerae pour détecter des biomarqueurs potentiels corrélés avec les risques d'infection et la gravité des symptômes. Nos résultats montrent que l’utilisation du séquençage métagénomique améliore la précision et l’exactitude des prévisions par rapport au séquençage 16S. Nos analyses permettent aussi de prédire la gravité de la maladie, bien qu’avec une plus grande incertitude que la prédiction de l’infection. Des taxons bactériens des genres Prevotella et Bifidobacterium ont été identifiées comme des marqueurs potentiels de protection contre l’infection, tout comme gènes impliqués dans le métabolisme du fer. Nos résultats soulignent le pouvoir de la métagénomique pour prédire l’évolution des maladies et identifient des espèces et des gènes spécifiques pouvant être impliqués dans des tests expérimentaux afin d’étudier les mécanismes liés au microbiome intestinal expliquant la potentielle protection contre le choléra. / Cholera is an acute diarrhoeal disease that remains a global threat to public health in countries where access to safe water and adequate sanitation cannot be guaranteed. Vibrio cholerae, the bacterial pathogen responsible for this disease, can cause a range of symptoms in infected individuals, from intense diarrhea leading to severe dehydration, to asymptomatic carriage of the bacteria. Although our understanding of cholera on a macro-epidemiological scale has been considerably improved by the development of high-throughput sequencing techniques and by advances in bacterial genomics, no studies have yet been conducted to characterize its evolution at the scale of infected individuals. Furthermore, the role of asymptomatic carriers in an epidemic and the reason behind the absence of symptoms in these infected individuals remains unknown. The main objective of this thesis is therefore to characterize the genomic diversity of V. cholerae at the level of individuals and households, but also to evaluate the potential role of the gut microbiome in the susceptibility to contract this acute enteric disease and to present severe symptoms. First, we characterize the genomic diversity of colonies isolated from symptomatic patients. The whole genome sequencing of strains from patients in Bangladesh and Haiti reveals that this diversity is detectable in the form of point mutations within hosts, but remains limited. Much of the variation detected within patients appears to be due to the gain and loss of phages and plasmids within the V. cholerae population, with occasional exchanges between the pathogen and other commensal members of the gut microbiota. These results challenge the commonly accepted assumption that V. cholerae infections are predominantly clonal, and confirm that horizontal gene transfer is an important factor in the evolution of V. cholerae. In addition, our results show that some of these variants may also have a phenotypic effect, for example by impacting biofilm formation, and can be selected within infected individuals. Next, we apply a combination of whole genome sequencing and metagenomic approaches to improve the detection of intra-host variants, both in symptomatic patients and in asymptomatic carriers. Our study shows that the metagenomic approach offers a better resolution in the detection of the diversity in the microbial population, but remains difficult to apply in asymptomatic patients, due to the low number of V. cholerae cells in these individuals. Overall, we find that the level of diversity within the intra-host bacterial population is similar between symptomatic and asymptomatic patients. We also detect the presence of hypermutator strains in some patients. In addition, while mutations in patients with hypermutator phenotypes did not appear to be driven by selection, signs of parallel evolution are detected in patients with fewer mutations, suggesting adaptive mechanisms within the host. Our results underline the power of metagenomics combined with whole genome sequencing to characterize intra-host diversity in acute cholera infection, but also in asymptomatic carriers, while identifying for the first time an hypermutator phenotype in infected patients. Finally, we are interested in factors related to susceptibility to the disease and related to the severity of symptoms. Based on a recent study using 16S rRNA amplicon sequencing to show the potential link between the intestinal microbiome and susceptibility to V. cholerae infection, our study uses metagenomic sequencing methods on the same samples from this previous study to characterize the taxonomic and functional profiles of the gut microbiome of household contacts exposed to V. cholerae. Samples are collected prior to infection of these household contacts, and used to identify predictors of symptomatic disease. Using a machine learning algorithm, we can identify species, gene families and metabolic pathways in the microbiome at the time of exposure to V. cholerae to detect potential biomarkers correlated with risk of infection and symptom severity. Our results show that the use of metagenomic sequencing improves the precision and accuracy of predictions compared to 16S rRNA amplicon sequencing. Our analyses also predict disease severity, although with greater uncertainty than the prediction of infection. Bacterial taxa from the genera Prevotella and Bifidobacterium have been identified as potential markers of protection against infection, as well as genes involved in iron metabolism. Our results highlight the power of metagenomics to predict disease progression and identify specific species and genes that could be involved in experimental tests to study the mechanisms related to the microbiome explaining potential protection against cholera.

The human gut microbiome is a complex ecosystem with hundreds of species interacting with each other and the host. One function of the microbiome is to break down undigested nutrients into smaller nutrients, sometimes available for uptake by the host. The digestion of such macromolecules can involve several species where one feeds on another’s byproducts, forming a large cross-feeding network. The method of digital evolution can be of great aid in studying such complex ecosystems by creating models of the studied system. In this study, the digital evolution software Avida was used to study the effects of perturbations in the system on byproduct cross-feeding chain length. Intense perturbations were found to shorten the chain lengths in general whereas weaker perturbations had either a small or no effect. When perturbations ceased, most byproduct chains displayed recovery to lengths similar to the preperturbation lengths. This indicates that byproduct chain lengths may be kept short by common ecological mechanisms alone, explaining why very long chains are rarely observed while still theoretically possible.

Diabetes has caused many deaths worldwide but can be combated at least partially by diet and physical activity. The gut microbiome shows correlation with both type 1 and type 2 diabetes, has modulatory effects on the immune system and implicates brain functions through the gut-brain axis, in part by microbial metabolites. Diet has long been known to impact the microbiome but exercise has gained interest within the last decade, with studies mostly done on rodents and athletes with somewhat positive results on its modulation of the microbiome. This literature study aims to evaluate whether exercise can influence the microbiome for healthy, prediabetic, and diabetic cohorts and what this might mean for host health. The database PubMed was searched for articles in January 2021 and inclusion criteria yielded 7 articles for review. These differed in methods, cohorts, and exercise interventions, and therefore cannot grant any strong evidence but indicate along with previous research that exercise affects the microbiome, with slight differences in responses depending on the individual’s current state and exercising methods. / Diabetes har orsakat många dödsfall världen över men kan bekämpas åtminstone delvis med hjälp av diet och fysisk aktivitet. Tarmens mikrobiom har visats korrelera med både typ 1 och typ 2 diabetes, har reglerande effekter på immunsystemet och inverkar på hjärnfunktioner genom tarm-hjärna-axeln, delvis via metaboliter från mikroberna. Det har länge varit känt att mat kan påverka mikrobiomet, men träning har också väckt intresse över det senaste årtiondet med studier som fokuserat mest på möss och atleter med någorlunda positiva resultat för dess förändring av mikrobiomet. Denna litteraturstudie syftar till att undersöka om träning kan ha effekt på mikrobiomet hos såväl friska människor som prediabetiker och diabetiker, och vad detta kan betyda för hälsan. En litteratursökning gjordes i databasen PubMed i januari 2021 som efter sortering enligt inkluderande kriterier gav 7 artiklar för granskning. Dessa använde olika metoder, undersökta grupper och träningsupplägg, vilket försvårar jämförelser men indikerar i linje med tidigare forskning att träning påverkar mikrobiomet, med en del skillnader i resultat beroende på individens status och träningsupplägg.

Alcohol is a commonly consumed beverage, a drug of abuse and an important molecule affecting nearly every organ-system in the body. This project seeks to investigate the interplay between alcohol’s effects on critical organ-systems making up gut-liver-brain axis. Alcohol initially interacts with the gastrointestinal tract. Our research describes the alterations seen in intestinal microbiota following alcohol consumption in an acute-on-chronic model of alcoholic hepatitis and indicates that reducing intestinal bacteria using antibiotics protects from alcohol-induced intestinal cytokine expression, alcoholic liver disease and from inflammation in the brain. Alcohol-induced liver injury can occur due to direct hepatocyte metabolic dysregulation and from leakage of bacterial products from the intestine that initiates an immune response. Here, we will highlight the importance of this immune response, focusing on the role of infiltrating immune cells in human patients with alcoholic hepatitis and alcoholic cirrhosis. Using a small molecule inhibitor of CCR2/CCR5 chemokine receptor signaling in mice, we can protect the liver from damage and alcohol-induced inflammation. In the brain, we observe that chronic alcohol leads to the infiltration of macrophages in a region-specific manner. CCR2/CCR5 inhibition reduced macrophage infiltration, alcohol-induced inflammation and microglial changes. We also report that chronic alcohol shifts excitatory/inhibitory synapses in the hippocampus, possibly through complement-mediated remodeling. Finally, we show that anti-inflammasome inhibitors altered behavior by reducing alcohol consumption in female mice. Together, these data advance our understanding of the gut-liver-brain axis in alcoholism and suggest novel avenues of therapeutic intervention to inhibit organ pathology associated with alcohol consumption and reduce drinking.

Over the past few decades, coral cover has declined worldwide due to overfishing, disease, and storms, and these effects have been exacerbated by ocean warming and acidification. Corals are extremely susceptible to these changes because they are already living close to their thermal and aragonite saturation thresholds. Ocean warming and acidification (OAW) may also impact coral survival and growth by impacting their settlement cues. Coral larvae use crustose coralline algae (CCA) and their associated biofilms as cues for settlement, i.e., habitat selection. Settlement cues can also be negatively affected by increased water temperature and acidity. It was hypothesized that the impacts of OAW on settlement substrate can further threaten coral persistence by altering/inhibiting larval settlement and potentially decreasing the post-settlement survival and growth of coral recruits. In this study, we 1) assessed the effect of substrate quality (substrate conditioned in ambient or OAW conditions) on settlement of A. agaricites larvae, 2) determined the effect of substrate quality on post-settlement survival and growth of A. agaricites recruits, and 3) determined the effect of ocean warming and acidification on the post-settlement survival and growth of A. agaricites recruits. Aragonite settlement tiles were placed offshore for one month to accrue CCA and associated biofilms, and were then conditioned in either ambient (29°C, 8.2 pH) or predicted future oceanic conditions (31°C, 7.9 pH) conditions for 7 – 10 days. Agaricia agaricites larvae were then introduced to the settlement tiles, and their settlement percentage was calculated. Once a week for 12 weeks after larval settlement, the size, survival, and pigmentation of A. agaricites recruits was recorded. Larvae settled marginally more on optimally conditioned tiles than on tiles previously exposed to OAW conditions (p=0.053). The survival of coral recruits in OAW conditions was greatly reduced, their growth was very limited, and they became paler over time. When reared in ambient conditions, recruits on OAW treated substrate initially displayed higher survival rates than recruits on ambient treated substrate. After 3 weeks in ambient conditions, however, survival rates were similar for recruits on ambient and OAW treated substrate; their growth curves were very similar, and coral recruits became more pigmented over time. Ocean warming and acidification conditions not only directly impacted the growth, survival, and pigmentation of A. agaricites recruits, but it also indirectly affected larval 5 settlement by likely altering microbial composition in bacterial biofilms on the settlement tiles. These results indicate that future conditions of ocean warming and acidification can be deleterious for A. agaricites, particularly after settlement. If the early life stages of scleractinian corals are negatively affected by OAW conditions, successful recruitment throughout the Caribbean and Florida Reef Tract could decrease. As a result, recovery from disturbances could be hindered, thus compromising the sustainability of many coral species and other marine ecosystems that depend on coral reefs for protection, habitat, and food.

La maladie d’Alzheimer (MA) se présente souvent comme un déclin progressif des fonctions cognitives et comportementales. Au niveau biologique, on observe une accumulation de la protéine bêta-amyloïde (Aß) et de la protéine tau, une altération de la fonction synaptique ainsi qu’une mort neuronale. Des travaux récents ont démontré qu’une souche spécifique de probiotiques, Lacticaseibacillus rhamnosus HA-114 (HA-114), avait des propriétés neuroprotectrices dans plusieurs modèles de maladies neurodégénératives. Le projet de recherche présent visait à caractériser les aspects neurophysiologiques d’une souche de nématodes transgéniques exprimant l’Aß et valider la neuroprotection de HA-114 dans ce modèle ainsi que dans un modèle murin de la MA (APP/PS1). Les résultats présentés dans ce manuscrit montrent que les vers transgéniques exprimant le fragment 1-42 de l’Aß récapitulent des caractéristiques clés de la MA, soit une altération de la santé neuronale et de la mémoire liée à l’âge. Il s’agit donc d’un nouvel outil pour l’investigation de la physiopathologie de la MA et pour l’essai de molécules ayant un potentiel thérapeutique. Les données expérimentales montrent aussi que l’administration de HA-114 permet d’atténuer les phénotypes de neurodégénérescence et de paralysie liée à l’âge. Cela témoigne d’un potentiel en vue de l’amélioration de la qualité de vie des patients qui souffrent de la MA. L’étude des effets de HA-114 dans un modèle murin pourrait révéler de nouvelles avenues d’investigations pour la physiopathologie de la MA et les mécanismes par lesquels on pourrait un jour la traiter. / Alzheimer’s disease (AD) often presents itself as a progressive decline of behavioral and cognitive functions such as memory impairment. On a biological level, this disease presents extracellular accumulation of amyloid-beta (Aß), intracellular accumulation of tau, alteration of synaptic function and neuronal loss. Recent data showed that a supplementation with a specific probiotic strain of bacteria, Lacticaseibacillus rhamnosus HA-114 (HA-114), had a neuroprotective effect in several neurodegenerative disease models. This project aimed to characterize the neurophysiological aspects of a specific nematode strain expressing the Aß1-42 fragment and to validate the neuroprotective effect of HA-114 in this nematode strain as well as in the APP/PS1 murin model of AD. Following biochemical and behavioral experiments, data showed that this strain recapitulates key traits of AD: an age-dependent alteration of neuronal health and memory impairment. It was also observed that administrating HA-114 probiotic strain could attenuate age-related phenotypes of neurodegeneration and paralysis. This transgenic strain is therefore a new tool for drug screening and investigating AD’s pathogenesis. The neuroprotective effect of HA-114 observed in this strain shows potential towards an amelioration of the patient’s quality of life. Studying the effects of HA-114 in a murin model could reveal new investigation opportunities for AD’s pathogenesis and mechanisms that could one day cure this disease.