Marine animals live and thrive in a literal sea of microorganisms, yet are often able to maintain specific associations that are largely dictated by the environment, host immunity and microbial interactions. Animal-associated microbiomes include bacteria and viruses that vastly outnumber host cells, especially in the gut environment, and are considered to be integral parts of healthy, functioning animals that act as a metaorganism. However, the processes underlying the initial establishment of these microbial communities are not very well understood. This dissertation focuses on the establishment of a well-known developmental animal model, Ciona intestinalis (sea squirt), to study the establishment and maintenance of a stable gut microbiome. Generation of a new model for studying microbial colonization of the gut requires the ability to rear Ciona in the absence of microbes (i.e., germ-free). This dissertation describes the establishment of a germ-free technique for rearing Ciona and the methods utilized for bacterial exposure and colonization. Additionally, to determine the spatial structure of the gut microbiome, viral and bacterial communities within the three main gut compartments (stomach, midgut, hindgut) of Ciona from San Diego, CA, were assessed. The viral community was dominated by phages (viruses infecting bacteria), and numerous prophages (phages integrated into bacterial genomes) matching sequences found in bacteria belonging to the Ciona microbiome were detected within the active viral fraction. To determine the prevalence of prophages within the Ciona microbiome, a total of 70 bacteria cultured from the gut were tested, and 22 isolates were found to possess inducible prophages. When co-cultured with other bacteria, these induced prophages were capable of lytic infection of other members of the microbiome, often exhibiting broad host ranges. The dynamic interactions of gut bacteria and phages were explored further with the isolation and characterization of a novel Shewanella phage-host system from the adult Ciona gut. Lytic phage infection resulted in an increase in biofilm formation correlating with the release of extracellular DNA, a process that was also observed to a lesser degree in control cultures as a result of spontaneous prophage induction. Furthermore, addition of the Ciona immune protein VCBP-C to static cultures of this Shewanella sp. 3313 also enhanced biofilm formation; a similar phenomenon was noted in another bacteria, a Pseudoalteromonas sp. 6751. Interestingly, both of these isolates contained inducible prophages and binding of the VCBP-C protein to these lysogenic strains was found to influence prophage induction in vitro. Colonization of the gut in vivo also correlated with differential up-regulation of VCBP-C expression in germ-free animals and a subsequent induction of prophages. This dissertation makes an important contribution to the symbiosis field by developing a new model system in which novel aspects of host-microbe interactions can be investigated. The discovery that an innate immune effector can influence bacterial biofilms and result in the induction of prophages capable of lytic infection of other co-occurring bacteria reveals a previously unrecognized intersection between secretory immune molecules and phages in shaping the microbiome. These findings establish Ciona as a relevant and tractable model for studying trans-kingdom interactions during colonization of the gut epithelium.

The application of second generation sequencing technology to the characterization of complex microbial communities has profoundly affected our appreciation of microbial diversity. The explosive growth of microbial sequence data has also necessitated advances in bioinformatic methods for profiling microbial communities. Data aggregation strategies should allow the relation of metagenomic sequence data to our understanding of microbial taxonomy, while also facilitating the discovery of novel taxa. For eukaryotes, a method has been established that links DNA sequences to the identification of organisms: DNA Barcoding. A similar approach has been developed for prokaryotes using target genic regions as markers for species identification and to profile communities. A key difference in these efforts is that within DNA barcoding there is a formalized framework for the evaluation of barcoding targets, whereas for prokaryotes the 16S rRNA gene target has become the de facto barcode without formal evaluation. Using the framework developed for evaluating DNA barcodes in eukaryotes, a study was undertaken to formally evaluate 16S rRNA and cpn60 as DNA barcodes for Bacteria. Both 16S rRNA and cpn60 were found to meet the criteria for DNA barcodes, with cpn60 a preferred barcode based on its superior resolution of closely related taxa. The high resolution of cpn60 enabled a method of sequence data aggregation through sequence assembly: microbial profiling using metagenomic assembly (mPUMA). The scoring of metagenomic assemblies in terms of sensitivity and specificity of the operational taxonomic units formed was used to evaluate and optimize the assembly of cpn60 barcodes. Using optimized parameters, mPUMA was demonstrated to faithfully reconstruct a synthetic community in terms of richness and abundance. To facilitate the use of mPUMA, a software package was developed and released under an open source license. The utility of mPUMA was further examined through the characterization of the epiphytic seed microbiomes of Triticum and Brassica species. A microbiome shared across both crop genera including fungi and bacteria was detected: a particularly important observation as it implies that seeds may serve as a vector for microbes that could include both pathogenic and beneficial organisms. The relative abundances of taxa identified by mPUMA were confirmed by qPCR for multiple cases of both fungal and bacterial taxa. By culturing isolates of both bacteria and fungi from the seed surfaces it was demonstrated that mPUMA faithfully assembled consensus sequences for OTUs that were 100% identical to isolated fungi and bacteria. Patterns observed in the relative abundances of the shared microbiome OTUs were used to generate the hypothesis that an Pantoea-like bacterium and an Alternaria-like fungus had an antagonistic relationship, since sequences corresponding to these organisms showed reciprocal abundance patterns on Triticum and Brassica seeds. Studies of the interactions of cultured isolates revealed fungistatic interactions that could account for their reciprocal abundances. These interactions could be directly relevant to plant health, given that Alternaria-like fungi are linked to grain spoilage in wheat, and diseases in canola. Taken together, results of this thesis demonstrate the superiority of the cpn60 universal target as a barcode for Bacteria, forming the basis for an assembly-based strategy for microbial profiling of bacterial and eukaryotic microbial communities that can lead to the discovery of novel taxa and microbial interactions.

Since the completion of the sequencing of the human genome at the turn of the century, genomics has revolutionized the study of biology and medicine by providing high-throughput and quantitative methods for measuring molecular activities. Microarray and next generation sequencing emerged as important inflection points where the rate of data generation skyrocketed. The high dimensionality nature and the rapid growth in the volume of data precipitated a unique computational challenge in massive data analysis and interpretation. Noise and signal structure in the data varies significantly across types of data and technologies; thus, the context of the data generation process itself plays an important role in detecting key and oftentimes subtle signals. In this dissertation, we discuss four areas where contextualizing the data aids discoveries of disease-causing variants, complex relationships in the human microecology, interplay between gene and environment, and genetic regulation of gene expression. These studies, each in its own unique way, have helped made possible discoveries and expanded the horizon of our understanding of the human body, in health and disease.

This dissertation examines how the relationship between microbes and the human body has been reconfigured over the course of the twentieth century and into the first decades of the twenty-first century. It presents a counter-narrative to the ways in which we have tended to view microbe-human relations to make sense of the emergence of twenty-first century microbial selves by focusing on the normal microbiota. / History of Science

No description available.

Through a qualitative analysis of the use of intestinal parasites for treating immune system disorders, this research illustrates how contingency emerges in the context of the human relationship to hookworms. The affect of the human–nonhuman relationship is an important part of understanding the direction of evolutionary medicine today, and has implications for the politics of biological health innovations. The shift from the bad parasite to a parasite that at least sometimes heals, discursively and materially, has opened new spaces for patients to change the way they relate to medical knowledge, medical professionals, and pharmaceutical companies. Hookworms are banned by the FDA, which sets the scene for lively, but sometimes rebellious, hybridity between host and parasite. Underground and do-it-yourself hookworm therapy cultures have sprung up in around the site of the gut. I argue that not only is material hookworm affect as important as human discourses in negotiating the rapidly advancing field of biome reconstruction, but it also plays a role in how that biome reconstruction takes place, conventionally or otherwise.

The vaginal microbial community is critical to a woman’s health and the health of her family. Bacterial vaginosis (BV) is a polymicrobial syndrome characterized by a shift of the vaginal microbiota from a Lactobacillus dominated community to a dense biofilm containing a complex mixture of organisms. Although BV is an important risk factor for poor reproductive health outcomes, the etiology of BV is poorly understood. Gardnerella vaginalis is a hallmark species of BV. Phylogenetic analysis of cpn60 universal target sequences from metagenomic studies of the vaginal microbiome and from G. vaginalis isolates resolved four subgroups within the species. This subdivision, supported by whole genome similarity comparisons, demonstrated that these subgroups might represent different species. Among a group of African women, only G. vaginalis subgroup B was significantly more abundant in women with BV relative to women with Nugent scores not consistent with BV. To characterize the subgroups further, several phenotypic and molecular factors of G. vaginalis subgroups were assessed. Proteomic profiles of isolates within each subgroup formed unambiguous clusters. Sialidase gene sequences were detected in all subgroups, however enzymatic activity was detected only in subgroup B. Two isolates of subgroup B isolates (N153 and N101) were incapable of growth in 7% CO2. Given the well-known relationship between an anaerobic microbiota and BV, anaerobic isolates of G. vaginalis are potentially important players in the vaginal microbial community. To determine genome content differences that could account for the phenotypic difference, whole genome sequences of four G. vaginalis subgroup B isolates representing facultative and anaerobic phenotypes were determined. Comparison of genomes led to the identification of genes predicted to encode proteins involved in cell wall biogenesis and protection from oxidative damage that might account for the observed phenotypes. The cpn60 universal target based methodology that improved resolution of the vaginal microbiota including G. vaginalis was applied in a prospective study of the vaginal microbiome of women with preterm premature rupture of membranes (PPROM). The objectives were to characterize the vaginal microbiota of women following PPROM, and to determine if microbiome composition at the time of rupture predicts latency duration and perinatal outcomes. Only 13/70 samples collected from 36 women were dominated by Lactobacillus spp., the expected profile for healthy women, while Megasphaera type 1 and Prevotella spp. were detected in all samples. Microbiome profiles at the time of membrane rupture did not cluster by gestational age at PPROM, or latency duration. Microbial profiles were unstable over the latency period, with dramatic shifts in composition between weekly samples, and an overall decrease in Lactobacillus abundance. Mollicutes were detected by PCR in 81% (29/36) of women, and these women had significantly lower gestational age at delivery and correspondingly lower birth weight infants than Mollicutes negative women. Taken together, the results presented in this thesis demonstrate the value of high resolution profiling of the vaginal microbiome using cpn60 UT sequences. The resolution of subgroups within G. vaginalis has potentially significant implications for women's health diagnostics, requiring a shift away from considering G. vaginalis as a single entity. The PPROM study provides foundational information that may lead to the identification of informative sequence patterns, providing clinicians with better tools for expectant management following PPROM.

The new field of ‘omics’ has spawned the development of metaproteomics, an approach that has the ability to identify and decipher the metabolic functions of a proteome derived from a microbial community that is largely uncultivable. With the development and availabilities of high throughput proteomics, high performance liquid chromatography coupled to mass spectrometry (MS) has been leading the field for metaproteomics. MS-based metaproteomics has been successful in its’ investigations of complex microbial communities from soils to the human body. Like the environment, the human body is host to a multitude of microorganisms that reside within the skin, oral cavity, vagina, and gastrointestinal tract, referred to as the human microbiome. The human microbiome is made up of trillions of bacteria that outnumber human genes by several orders of magnitude. These microbes are essential for human survival with a significant dependence on the microbes to encode and carryout metabolic functions that humans have not evolved on their own. Recently, metaproteomics has emerged as the primary technology to understand the metabolic functional signature of the human microbiome. Using a newly developed integrated approach that combines metagenomics and metaproteomics, we attempted to address the following questions: i) do humans share a core functional microbiome and ii) how do microbial communities change in response to disease. This resulted in a comprehensive identification and characterization of the metaproteome from two healthy human gut microbiomes. These analyses have resulted in an extended application to characterize how Crohn’s disease affects the functional signature of the microbiota. Contrary to measuring highly complex and representative gut metaproteomes is a less complex, controlled human-derived microbial community present in the gut of gnotobiotic mice. This human gut model system enhanced the capability to directly monitor fundamental interactions between two dominant phyla, Bacteroides and Firmicutes, in gut microbiomes colonized with two or more phylotypes. These analyses revealed membership abundance and functional differences between phylotypes when present in either a binary or 12-member consortia. This dissertation aims to characterize host microbial interactions and develop MS-based methods that can provide a better understanding of the human gut microbiota composition and function using both approaches.

Remyelination describes the regeneration of myelin sheaths, and is considered one of the most promising strategies for improving the prognosis of demyelinating diseases such as multiple sclerosis. Data from animal models and human studies have shown that remyelination can occur extensively in the central nervous system (CNS), leading to functional recovery and axonal protection. However, remyelination does not always proceed to completion, and its failure is associated with progressive neurological disability. Thus, there is clinical need for interventions that can optimise the conditions for remyelination. Recent advances in genomics and animal husbandry have kindled an interest in the microbiome as a means to influence processes throughout the body. Our commensal microbes communicate with host cells at epithelial barriers, stimulate neural and endocrine axes and directly produce a plethora of long-range signalling molecules. Critically, the development and maintenance of the immune system depend on signals from the microbiota, and we know that a well-coordinated immune response is a key determinant of the success of remyelination. This thesis explores how the microbiome can influence CNS remyelination. To do so, I have studied remyelination in three murine models of microbiome alteration. Firstly, long-term oral administration of an antibiotic cocktail was used to deplete the microbiota of adult mice. Following focal demyelination, these mice had deficits in their inflammatory response, clearance of myelin debris and differentiation of new oligodendrocytes from oligodendrocyte progenitor cells (OPCs). Faecal microbial transplant was able to rescue aspects of the inflammatory response and phagocytosis, but not OPC differentiation. Secondly, I looked at remyelination in germ-free (GF) mice following cuprizone-induced demyelina- tion. As with the antibiotics-treated mice, there were deficits in inflammation following demyelination, which tended to peak later than in control mice. Finally, I investigated the potential of a therapeutic probiotic (VSL#3) to improve remyelination in aged mice. In contrast to antibiotic treatment, probiotic administration caused a slight enhancement in the onset of inflammation following focal demyelination. However, there was no significant improvement in OPC differentiation or toluidine blue rank analysis, suggesting these changes in inflammation were not sufficient to positively modulate remyelination. The results from these three studies introduce a significant but previously unconsidered environmental influence on remyelination in the CNS. Whilst the effects are subtle relative to more direct interventions, the microbiome can be manipulated simply and non-invasively, which may provide a useful adjunct to other strategies for optimising remyelination.

The study of the gut microbiota of fish began in the 1930’s and since that time a considerable amount of information has been collated on its composition and diversity. These studies have revealed that the microbial communities of the fish gastrointestinal tract are generally difficult to culture on bacteriological media and mainly consist of bacteria, archaea, viruses, yeasts and protists. The bacteria appear to be the most abundant of these microbial groups and their activity may have major implications for host health, development, immunity and nutrition. Therefore, much of the most recent published research has focused on developing improved methods of identifying the extent of the bacterial diversity within the fish gut and unravelling the potential influence of these microorganisms on the health of farmed fish species. However, whilst such studies have improved our knowledge of the dominant bacterial groups present in the rainbow trout gastrointestinal tract, the limited resolution capacity of many of the methods used has meant that our understanding of their baseline composition in healthy fish remains poorly understood. In this study, the bacterial communities that inhabit the intestine, now commonly referred to as the ‘microbiome’, of farmed Rainbow trout (Oncorhynchus mykiss) were characterized using a culture independent high-throughput molecular sequencing method. The microbiome of the intestinal lumen and mucosa was investigated to ascertain the true extent of the bacterial diversity present in this fish species prior to further experiments. It was found that the diversity of the intestinal microbiome was greater than previous studies had reported with a total of 90 and 159 bacterial genera being identified in both the lumen and mucosal regions respectively. The dominant bacterial phyla identified in both of the regions investigated were Proteobacteria, Firmicutes, Fusobacteria, Bacteroidetes and Actinobacteria. Furthermore, the data collected suggested that the intestinal microbiome may be similar in structure between individual fish, and illustrate the utility of next generation molecular methods in the investigation of the fish gut microbiome. A study was conducted to examine the effect of diet on the composition of the intestinal microbiome of rainbow trout. Two diets, one control and one treatment, were prepared which were identical apart from that the treatment diet contained a microalgal component at 5% of the total formulation. These diets were fed to rainbow trout for a total of 15 weeks. At the end of the trial period a total of 12 fish, three from each of four tanks, were sacrificed from each of the control and treatment groups and their intestinal tissue was sampled in order to compare the composition of the microbiome of both groups. The results revealed that both groups of fish shared similar microbiome compositions, with the Tenericutes being by far the most dominant phylum observed. The structure of the intestinal microbiome was not significantly different between both populations of trout tested. An increased level of bacterial diversity was noted in the treatment fish, however, this was not found to be statistically significant. A limited number of bacterial taxa were discriminatory between diets and were significantly elevated in the treatment group. These taxa were predominantly lactic acid bacteria of the genera Streptococcus, Leuconstoc, Lactobacillus, Lactococcus and Weissella. The results of this study suggested that the minor difference in the diets fed resulted in a correspondingly minor alteration in the intestinal microbiome of the tested rainbow trout. This may indicate that diet composition can modify the composition of the intestinal microbiome of these fish. A further study was conducted to investigate the structure of the intestinal microbiome from groups of fish reared in both freshwater cages and aquarium systems, in order to assess whether or not fish raised in different environments share similar microbiomes. This study also employed a novel computational tool, PICRUSt, to analyse the predicted functional capacity of the microbial communities of individual fish sampled from both environments. The data collected suggested that the structure of the intestinal microbiome was similar regardless of where the fish were raised, with the Tenericutes, Firmicutes, Proteobacteria, Spirochaetae and Bacteroidetes representing the dominant bacterial phyla recorded in the rainbow trout intestine. This suggests that the host may regulate the formation of the intestinal microbiome. A significant difference was however noted in community membership between the fish populations tested, which may point to an environmental influence on the intestinal microbiome. These data suggest that both deterministic host factors and stochastic environmental influences play important roles in shaping the composition of the bacterial communities in the intestine of these fish. The PICRUSt analysis revealed that gene pathways relating to metabolism, transport and cellular processes were enhanced in all of the fish studied, which may signal an involvement of these communities in the digestive processes of rainbow trout. In conclusion, this study used high-throughput sequencing methods in order to improve our understanding of the intestinal microbiome of farmed rainbow trout, and the effect of dietary and environmental factors on its composition. This research has generated scientific information relating to baseline bacterial community compositions in healthy fish, which may be used in future experiments including screening these baselines against the effects of novel aquafeed formulations, environmental perturbations or pathogenic challenges.