Les amibes libres sont des microorganismes unicellulaires eucaryotes dont l'écologie au sein des réseaux d'eau potable est mal connue. Les amibes libres représentent un enjeu de santé publique, du fait de leur capacité à favoriser la présence de bactéries potentiellement pathogènes, parmi lesquelles des mycobactéries.Une campagne de prélèvement menée sur le réseau d'eau potable de Paris a permis d'évaluer la diversité des amibes libres et de leur microbiome bactérien, par pyroséquençage ciblant les gènes ribosomaux (16S et 18S). Ces analyses ont suggéré la prédominance des genres Acanthamoeba, Vermamoeba, Echinamoeba et Protacanthamoeba. Le microbiome des amibes a révélé une grande diversité bactérienne, dominée par Pseudomonas, Stenotrophomonas, Bradyrhizobium, Sphingomonas et Pseudoxanthomonas. L'intégration des paramètres physicochimiques a permis de suggérer l'importance de l'origine de l'eau, la température, le pH et la concentration en chlore dans la dynamique des populations amibiennes. Une endosymbiose originale entre V. vermiformis et des bactéries du phylum TM6 a également été mise en évidence.Les amibes ont été fréquemment co-isolées avec des mycobactéries dans le réseau, principalement les espèces M. llatzerense et M. chelonae. Des expériences d'infection chez A. castellanii ont permis d'observer la capacité de ces mycobactéries à survivre et croitre en présence d'amibes. Par génomique comparative et analyses transcriptomiques, plusieurs facteurs de virulence, conservés entre M. llatzerense, M. chelonae et M. tuberculosis, ont été identifiés et sont surexprimés au cours de l'infection. Ces données suggérent leur implication dans la résistance à la prédation amibienne.L'ensemble de ces travaux a permis d'améliorer la connaissance des populations amibiennes et de leur microbiome au sein du réseau d'eau potable, apportant des éléments supplémentaires concernant leur implication dans la survie et la persistance des mycobactéries. / Free-living amoebae are unicellular eukaryotes whose ecology in drinking water networks remains poorly understood. They may represent a public health concern, because of their ability to favour the presence of potentially pathogenic bacteria, among which are mycobacteria.A sampling scheme based on Paris drinking water network allowed identifying the diversity of both freeliving amoebae and their bacterial microbiome, using ribosomal RNA targeted pyrosequencing. These analyses indicated the major presence of Acanthamoeba, Vermamoeba, Echinamoeba and Protacanthamoeba genera. The microbiome was highly diverse and dominated by Pseudomonas, Stenotrophomonas, Bradyrhizobium, Sphingomonas and Pseudoxanthomonas. The coupling of physicochemical parameters to this analysis allowed underlining the importance of water origin, temperature, pH and chlorine concentration in shaping amoebal populations. Also an original endosymbiosis between V. vermiformis and a bacterium of the TM6 phylum was described. Free-living amoebae were frequently co-isolated with mycobacteria in the water network, mainly M. llatzerense and M. chelonae species. Infection experiments on A. castellanii illustrated the capacity of these species to resist and grow in presence of amoebae. Through genomics and transcriptomics approaches, several virulence factors, conserved between M. llatzerense, M. chelonae and M. tuberculosis were identified, and found to be upregulated during infection experiments. These results suggest their involvement in mycobacterial resistance to amoebal predation.Altogether, this work helped to better understand the ecology of free-living amoebae and their microbiome in drinking water networks, as well as the role of free-living amoebae in the survival and persistence of mycobacteria in such environments.

The microbiome (microbial community) of individuals is crucial when characterizing and understanding processes that are required for organism function and survival. Microbial organisms, which make up an individual’s microbiome, can be linked to disease or function of the host organism. In humans, individuals differ substantially in their microbiome compositions in various areas of the body. The cause of much of the composition diversity is yet unexplained, however, it is speculated that habitat, diet, and early exposure to microbes could be altering the microbiomes of individuals (Human Microbiome Project Consortium, 2012b, 2012a). To date, only one study has reported on microbiome characterization in a shark (Doane et al., 2017; skin microbiome of the common thresher shark). A comparative characterization of microbiomes sampled from different shark species and anatomical locations will allow an understanding of the differences in microbiomes that may be explained by variance in shark habitat and diet. Florida leads as shark bite capitol of the world, with 778 unprovoked bites recorded since 1837, or 4-5 average bites per year. With only a few bites a year, there is not a lot of opportunities to study these bites. What can be studied, however, is how the microbial environment in shark’s teeth is composed. To understand overall microbiome composition, and if microbiomes are distinct from the environment, or specific by species or anatomical location (henceforth location), we characterized microbiomes from the teeth, gill, skin, and cloacal microbiomes of 8 shark species in south Florida (nurse, lemon, sandbar, Caribbean reef, Atlantic sharpnose, blacktip, bull, and tiger) using high throughput DNA sequencing of the 16S rRNA gene V4 region. There was a significant difference in microbial community richness among species, sample location, but not the interaction between species and location. Microbial diversity by location was significantly different for both the Shannon index and Inverse Simpson index. Samples examined by species had no significant difference in microbial community diversity overall for both Shannon and Inverse Simpson indexes. Microbial community diversity of samples by location and species combined significantly differed when submitted to an analysis of variance with the Shannon index, but not the Inverse Simpson index. Teeth microbial communities showed the most diversity based on both Shannon and Inverse Simpson indices. Teeth microbiomes are distinct but also share taxa with the water they inhabit, including potentially pathogenic genera such as Streptococcus (8.0% ± 9.0%) and Haemophilus (2.9% ± 3.3%) in the Caribbean reef shark. The lemon shark teeth hosted Vibrio (10.8% ± 26.0%) and the Corynebacterium genus (1.6%±5.1%). The Vibrio genus (2.8% ± 6.34%), Salmonella enterica (2.6% ± 6.4%), and the genus Kordia (3.1% ± 6.0%) are found in the nurse shark teeth microbial community. Strikingly, the Vibrio genus was represented in the sandbar shark (54.0% ± 46.0%) and tiger shark (5.8% ±12.3%) teeth microbiomes. One OTU related to traditionally non-pathogenic family Phyllobacteriaceae appear to be driving up to 32% of variance in teeth microbiome diversity. We conclude that south Florida sharks host distinct microbiomes from the surrounding environment and vary among species due to differences in microbial community richness. Future work should focus on bacteria found in shark teeth to determine if those present are pathogenic and could provide insights to bite treatment.

Disease and bleaching are two conditions which commonly lead to coral death. Among coral species, susceptibility to disease and bleaching is variable, and Pseudodiploria strigosa tends to be diseased more than Diploria labyrinthiformis, while D. labyrinthiformis bleaches more readily. The focus of this dissertation was to investigate and compare multiple components of these two coral species, and identify how they may relate to disease and bleaching resistance. Compenetnts examined included the surface mucopolysacharide layer (SML) thickness, gene expression, microbial associates, and a white plague aquarium study. The SML thickness decresased with increasing temperature regardless of coral species, indicating that SML thickness does not likely play a role in differences between susceptablities of these two coral species. However, Diploria labyrinthiformis had a lower mortality rate at 31°C, had fewer differentially expressed genes assossiated with stress, and upregulated genes associated with innate immunity in the summer, all of which may contribute to its relative disease resistance. The bacterial associates of each coral species were also monitored. Differences between the two coral species were primarily caused by Clostridia, Gammaproteobacteria, and rare species which may contribute to the relatively higher disease susceptibility of P. strigosa. Lastly, an aquarium study suggested that a potential pathogen of the Roseobacter clade infects both D. labyrinthiformis and P. strigosa, and might be transmitted by the Cryptochiridae gall crab, indicating that potential disease vectors associated with these two coral species may also play a role in disease resistance and resilience.

Ce travail de thèse a pour but de modéliser la capacité de dégradation des polysaccharides non digestibles par le microbiote intestinal humain. Nous exploitons pour cela des données métagénomiques. Il s'agit de données d'abondances de séquences de nucléotides dans 1408 échantillons dont les fonctions métaboliques sont assignées par annotation contre une base de données. Les séquences sont annotées par des marqueurs fonctionnels. Après une étape de sélection manuelle de 86 marqueurs fonctionnels pertinents à l'activité de métabolisation des polysaccharides, nous étudions leurs variations d'abondances parmi les échantillons métagénomiques.Nous proposons une approche de modélisation écologique du microbiote intestinal humain et considérons principalement la sélection fonctionnelle intense de cet écosystème pour faire l'hypothèse que des regroupements identiques de fonctions métaboliques sont présents en proportions différentes dans tous les microbiotes intestinaux humains. Nous proposons le terme d'assemblage fonctionnel qui rend compte de la co-occurrence spatiale et temporelle d'un groupement de fonctions. Ces assemblages sont en pratiques déterminés par leur composition en marqueurs fonctionnels, et peuvent s'interpréter comme une combinaison de traits fonctionnels agrégés au niveau des microorganismes composant l'assemblage.Les assemblages fonctionnels sont inférés par le biais d'une factorisation en matrice positive aussi nommée NMF de l'anglais Non-Negative Matrix Factorisation. Cette méthode permet de déterminer les assemblages fonctionnels, à la fois concernant leur composition et à la fois concernant leur abondance dans chacun des 1408 échantillons. Nous exploitons par ailleurs une information métabolique provenant de 190 génomes microbiens et de la bibliographie qui permet de préciser la composition de ces assemblages fonctionnels. Cette information se traduit sous forme d'une contrainte.Nous trouvons 4 assemblages en considérant un consensus entre différents critères. L'utilisation de l'information métabolique nous permet d'interpréter biologiquement ces assemblages. Les métadonnées associées aux 1408 échantillons nous permettent d'observer un comportement différent pour les échantillons provenant d'individus atteints de la maladie de Crohn. Nous validons cette observation sur des données extérieures.Nous avons proposé une approche réductionniste permettant de représenter un processus métabolique important à l'échelle du microbiote. Nous trouvons un nombre réduit de 4 assemblages fonctionnels qui sont biologiquement vraisemblables et permettent de bien approcher les 1408 échantillons métagénomiques. / The purpose of this work of thesis is to model the capacity of degradation of non-digestible polysaccharides by the human intestinal microbiote. To this end we exploit metagenomic data. We use abundances of nucleotide sequences in 1408 samples whose metabolic function are assigned by annotation against a database. The sequences are annotated with functional markers. Upon manual selection of 86 functional markers relevant to the activity of metabolisation of polysaccharides, we their abundances variation among the metagenomic samples are studied.We propose an ecological approach in modeling the human intestinal microbiote. We consider the intense functional selection of this ecosystem and assume that identical cluster of metabolic functions can be found in different proportions in every human gut microbiota. We propose the term of functional assembly as to account for spacial and temporal co-occurence of functional cluster. In practice, theses assemblies are determined by their composition and can be interpreted as combinations of functional traits aggregated at the levels of the cluster of microorganisms composing each assembly. Functional assemblies are inferred by the means of Non-Negative Matrix Factorization (NMF). This method allows to determine the composition of functional assemblies and their abundance in each of the 1408 metagenomic sample.Furthermore, we exploit metabolic information from bibliographic resources and 190 microbial genomes in order to specify the composition of these functional assemblies. This information is translated in the form of a constraint.We find 4 assemblies by considering a consensus between various criteria. The use of metabolic information allow to interpret theses assemblies biologically. By exploiting the metadata of the 1408 samples, we observe a different behaviour for the samples coming from individuals suffering from Crohn disease. We validate this observation on external data.We proposed a reductionistic approach allowing to represent an important metabolic process at the level of the microbiota. We find a small number of 4 functional assemblies which are biologically likely and approach well the 1408 metagenomic samples.

No description available.

Cystic Fibrosis (CF) is a genetic disorder, found with higher prevalence in the Caucasian population, affecting > 30,000 individuals in the United States and > 70,000 worldwide. Due to the astoundingly high rate of mortality among CF patients being attributed to respiratory failure brought on by chronic bacterial infections and subsequent airway inflammation, there has been a lot of focus on systematically analyzing CF lung airway communities. While it is observed traditionally that Pseudomonas aeruginosa is the most threatening and persistent CF colonizer due to high antibiotic resistance, recent studies have elicited the roles of other pathogens and it has been widely accepted the CF lung airway consists of a complex codependent community of bacteria, viruses, and fungi. To elucidate the interplay among the members of this community, within the constraint of lung uptake regime, I developed a community metabolic network model comprising of >380 metabolites obtained after modeling 39 most abundant bacterial genera across 279 sputum specimens collected from 79 individuals over 10 years from a study by LiPuma et. al. by 16S rRNA gene sequencing, accounting for >89% of reads across samples. The community metabolic model was contrasted with the 16S relative abundance data through standard data mining techniques employed for the analysis of multidimensional data. I further attempted to quantitatively analyze and elucidate the correlations among patient lung function, disease progression, community diversity, microbial compositions, and metabolic capabilities by standard classical hypothesis testing methods. Comparison through linear dimensionality reduction (PCA) of the 16S data and the model data revealed slightly higher variance explained by the model, indicating presence of relatively smaller number of metabolite-based than the 16S-based polymicrobial communities. A deeper analysis elucidated both the phenomena, consolidation of compositionally different communities due to metabolic closeness, as well as splitting of other communities into metabolically distinct clusters due to minor changes in composition and increase in diversity. Clustering of 16S-based relative abundance data and the model data revealed that the rare Burkholderia infections are metabolically distinct from other CF communities, and are heavily dominated by this genus. It was also reiterated that Achromobacter infections are highly resilient to treatment. Linear regression analysis between lung function and microbiota diversity revealed no strong correlation across the population, however, diversity was found to first increase and then subsequently decrease drastically with disease severity.

Hudens normalflora består av lågpatogena bakterier där stafylokockerna är de vanligaste förekommande bakterierna. Studier visar att antimikrobiella medel kan förändra hudbakteriepopulationer och att dessa förändringar kan leda till kritiska konsekvenser för hudens försvar. Propylenglykol är en substans som klassas som antimikrobiell och bakteriedödande. Propylenglykol har ett brett användningsområde och används ofta som hjälpmedel i en mängd olika läkemedel. Den finns bland annat i kosmetika såsom hudprodukter där den fungerar som fuktbindande och som konserveringsmedel. Vanliga koncentrationer av propylenglykol som fuktighetsbevarande ämne i topikaler är cirka 15 % och i kosmetika finns propylenglykol i koncentrationerna <0,1 % - >50 %. Det saknas i nuläget forskning om propylenglykols effekt på hudens bakterieflora. Syftet med studien var att med olika koncentrationer av propylenglykol bestämma MIC (minsta hämmande koncentration) och MBC (minsta baktericida koncentration) på vanliga stafylokocker (S. epidermidis, S. aureus, S. hominis och S. capitis) som ingår i hudens normalflora. För att bestämma MIC och MBC användes buljongspädningsmetoden där propylenglykol späddes ut i olika koncentrationer med buljong i en mikrotiterplatta. Sedan tillsattes valda testbakterier och OD600 mättes i 24 timmar. Resultatet visade att MIC och MBC för propylenglykol var 12,5 % respektive 25 % på vanliga stafylokocker som finns på huden. Vid koncentrationer av propylenglykol på 12,5 % hämmades synlig bakterietillväxt av S. epidermidis, S. aureus, S. hominis och S. capitis och vid 25 % uppstod en baktericid effekt på bakterierna. Mer forskning behövs dock för att få reda på hur hudens bakterier påverkas av propylenglykol och konsekvenserna av det. / The normal flora of the human skin is consisting of low pathogen bacteria, where the staphylococci are the most common bacteria. Studies show that antimicrobial substances can alter populations of skin bacteria and that these alterations can lead to critical consequences for the resistance of the skin. Propylene glycol is a substance that is classified as antimicrobial and bactericidal and the substance has a wide area of use and is frequently used as a supportive substance in various pharmaceuticals. Propylene glycol can be found in cosmetics and skincare products where it functions as moisture-binding and preservative. Normal concentrations of propylene glycol as moisture-binding substance in topicals is approximately 15 % and in cosmetics the concentration of propylene glycol is <0,1 % - >50 %. As of today, there are few scientific studies regarding the effects of propylene glycol to the bacterial flora of the human skin. The purpose of this study was to determine MIC (minimum inhibitory concentration) and MBC (minimum bactericidal concentration) for normal staphylococci (S. epidermidis, S. aureus, S. hominis och S. capitis) included in the normal flora of the skin using various concentrations of propylene glycol. To be able to determine MIC and MBC the broth dilution method was used, where propylene glycol was diluted in various concentrations with broth in a microtiter plate. Hereafter, selected test bacteria were added and OD600 was measured during 24 hours. The results implicated that MIC and MBC for propylene glycol were 12,5 % and 25 % for common staphylococci located on the skin. At concentrations of propylene glycol of 12,5 %, visible bacterial growth of S. epidermidis, S. aureus, S. hominis and S. capitis was inhibited and at 25 % a bactericidal effect occurred on the bacteria. It shall be noted that further research is needed to find out how the skin's bacteria are affected by propylene glycol and its consequences.

The aim of this diploma thesis was to investigate the effect of surfactants and cosmetic polysaccharides on skin parameters and its microbiome. Three surfactants were tested to determine their effect: Sodium Dodecyl Sulfate (SDS), Cocamidopropyl Betaine (CAPB), Decylglucoside (DG). Distilled water was also used for comparison. For the next part of the experimental work were selected 6 polysaccharides: high molecular weight Hyaluronic Acid (HMW HA), very low molecular weight Hyaluronic Acid (VLMW HA), Sodium Caproyl Hyaluronate (CaproylHA), Sodium Carboxymethyl -Glucan (NaCMG), Schizophyllan and Glucomannan. For comparison, placebo and untreated control (only CAPB treatment) were also included in the tests. The first part of the work is a literature search on the assigned topic, which contains the following parts: skin anatomy and its biophysical properties, skin microbiome and its functions, description of used surfactants and polysaccharides. The experimental part is mainly focused on bioengineering methods for evaluation of skin parameters and qRT-PCR to determine the relative proportion of main bacterial species of skin microbiome. First, the effect on the CT gene of 16S rDNA was analysed, and Propionibacterium acnes and Staphylococcus epidermidis strains were selected for further analysis. In conclusion are presented an overview of all properties of selected substances and assessment of their application in cosmetics.

With its unique consortium of microorganisms from all domains of life, termite gut is considered one of the most efficient lignocellulose degrading systems in nature. Recently, host diet and taxonomy as well as gut microenvironmental conditions have emerged as main factors shaping microbial communities in termite guts. The aim of this thesis was to investigate this highly efficient lignocellulolytic system at holobiont level, with a particular focus on gut microbiome function and composition in relation to the host diet. As a starting point, we optimised a complete framework for an accurate termite gut prokaryote-oriented metatranscriptomics, which was at the basis of all subsequent sequencing assay designs and analyses performed in the course of the work. Afterwards, we characterised the compositions and functions of biomass-degrading bacterial communities in guts of plant fibre- and soil-feeding higher termites, proving the existence of functional equivalence across microbial populations from different termite hosts. We also showed that each termite is a reservoir of unique microorganisms and their accompanying genes. We further extended above approach to metagenomics and bacterial genomes reconstruction and we applied it to explore the process of biomass digestion in the different sections of the highly compartmented gut of soil feeding Labiotermes labralis. We showed that primarily cellulolytic activity of the termite host was restricted to foregut and midgut, while bacterial contribution was most pronounced in P1 and P3 hindgut compartments and included activities targeting broad range of lignocellulose components. Finally, we investigated the adaptation of a laboratory-maintained grass-feeding higher termite colony of Cortaritermes spp. to Miscanthus diet at host and symbiont levels. A natural system of a termite gut was shown to progressively change in composition to yield a consortium of microbes specialised in degradation of a specific biomass. Overall, the integrative omics approach proposed here provide a framework for a better understanding of a complex lignocellulose degradation by a higher termite gut system and pave a road towards its future bioprospecting. / Doctorat en Sciences / info:eu-repo/semantics/nonPublished

The innate and adaptive immune processes are modulated by hormones including glucocorticoids and by microbiota. The exact mechanisms underlying the microbial and hormonal contributions to this control are not completely clear. Present study is therefore focused to crosstalk between microbiota and de novo biogenesis or local regeneration of glucocorticoids. In particular, the study analysed the effect of commensal microbiota on expression of genes encoding steroidogenic enzymes (Star, Cyp11a1, Hsd3b1, Cyp21a1, Cyp11b1) and regeneration of glucocorticoids (Hsd11b1) in adrenal glands, colon, spleen and mesenteric lymph nodes using conventional and germ-free mice. The expression of all 5 components of steroidogenesis was identified only in the adrenal gland and colon, whereas the lymphoid organs expressed predominantly Star, Cyp11a1 and Hsd3b1 indicating the ability to produce only progesterone but not corticosterone. Microbiota decreased the expression of Star in all studied tissues but the expression of other genes was insensitive to microbiota or did not respond homogenously depending on the tissue and gene. Hsd11b1 expression was upregulated by microbiota in the spleen but not in other tissues. Similarly, the in vitro treatment of immune cells isolated from mesenteric lymph nodes by microbial...