The human oral microbiome is the total amount of microbial biodiversity present in the oral cavity and, given its relevance to human health and disease, has recently become a foci for study. By analyzing dental calculus, and sequencing the bacterial DNA, it is possible to reconstruct and examine the oral microbiomes of past individuals. In this study, dental calculus was sampled from (N=4) skeletons recovered from the cemetery of the mid 19th- 20th, century Mississippi State Asylum in Jackson, MS. Bacterial DNA isolation and shotgun sequencing were successful, with 16S analyses yielding an average of 96 identified species. All samples were significantly different from each other at all taxonomic levels (p <0.0001). Targeted examinations for opportunistically pathogenic oral bacteria were performed, but no detectable bacterial DNA was found in the samples. This study is the first to reconstruct the oral microbiomes of a subsample of an historic institutionalized population.

The use of antibiotics in dairy cattle has the potential to stimulate the development and subsequent fecal dissemination of antibiotic resistance genes (ARGs) in bacteria. The objectives were to use metagenomic techniques to evaluate the effect of antibiotic treatment on ARG prevalence in the fecal microbiome of the dairy cow and to determine the temporal excretion pattern of ARGs. Twelve Holstein cows were assigned to one of four antibiotic treatments: control, pirlimycin, ceftiofur, or cephapirin. Fecal samples were collected on d -1, 1, 3, 5, 7, 14, 21, and 28. Samples were freeze-dried and subjected to DNA extraction followed by Illumina paired-end HiSeq sequencing and quantitative polymerase chain reaction (qPCR). Illumina sequences were analyzed using MG-RAST and the Antibiotic Resistance Gene Database (ARDB) via BLAST. Abundance of ampC, ermB, tetO, tetW, and 16S rRNA genes were determined using qPCR. All data were statistically analyzed with PROC GLIMMIX in SAS. Antibiotic treatment resulted in a shift in bacterial cell functions. Sequences associated with 'resistance to antibiotics and toxic compounds' were higher in ceftiofur-treated cows than control cows. Ceftiofur-treated cows had a higher abundance of 𝛽-lactam and multidrug resistance sequences than control cows. There was no effect of treatment or day on fecal tetO and ermB excretion. The relative abundances of tetW and ampC were higher on d 3 post-treatment than d 5 and d 28. In conclusion, antibiotic use in dairy cattle shifted bacterial cell functions and temporarily increased antibiotic resistance in the fecal microbiome. / Master of Science

Doctor of Philosophy / Department of Diagnostic Medicine/Pathobiology / Raymond R. R. Rowland / Emerging viral diseases threaten the health of the US swineherd and have the potential to impact the industry. Parvoviruses are capable of infecting birds, livestock and humans, however, in swine, parvoviruses cause reproductive failure and contribute to a devastating set of diseases termed porcine circovirus associated disease (PCVAD). Here, a divergent porcine parvovirus, porcine parvovirus 7 (PPV7), distantly related to known parvovirus sequences, was identified in market pigs in the US. The PPV7 non-structural protein displayed 42.4% similarity to Eidolon helvum parvovirus 2 and 37.9% similarity to turkey parvovirus. Conserved parvovirus replicase motifs including three rolling circle replication (RCR), two NTP-binding motifs and a helicase- binding domain, were present in PPV7. Analysis by qPCR of 182 porcine samples found 16 (8.6%) positive, suggesting moderate nucleic acid prevalence in US swine. Paramyxoviruses are capable of infecting various species including cattle, pigs and humans, causing respiratory disease and importantly, can overcome species barriers causing disease. In 2013, a novel paramyxovirus sequence was described in Hong Kong, China in slaughterhouse pigs, and subsequently named porcine parainfluenza virus 1 (PPIV1). The second study identifies two complete PPIV1 genomes in US pigs originating in Oklahoma and Nebraska that display 90.0-95.3% identity to the Chinese strains. Molecular analysis by qPCR resulted in 6.1% prevalence in 279 porcine respiratory samples. Further serological analysis revealed 66.1% of 59 porcine sera samples were positive by PPIV1 F ELISA. Eleven 3-week old nursery pigs from a PPIV1 naturally infected herd were monitored for signs of infection. No clinical signs were seen in the animals, however, six pigs and the lungs of one animal tested qPCR positive by the conclusion of the study. Taken together, PPIV1 is moderately prevalent in US swine-herds. Previously known to infect avian species, canines and swine, recent reports have identified circoviruses in bats, mink, and human feces. In pigs, porcine circovirus 2 (PCV2) is essential to PCVAD, a group of diseases including reproductive failure, respiratory disease complex (PRDC), porcine dermatitis and nephropathy syndrome (PDNS) and postweaning multisystemic wasting syndrome (PMWS). Additionally, PCV2 nucleic acid has been detected in mammalian species other than swine such as cattle and mink. The final study focuses on the identification and characterization of a divergent circovirus, porcine circovirus 3, identified in aborted mummies taken from sows displaying clinical and histological signs of PDNS. Putative capsid and replicase open reading frames display 37% and 55% identity to PCV2, respectively. A retrospective study of 48 PDNS cases, PCV2 negative by immunohistochemistry (IHC), identified 45 positive and 60% of a subset, positive for PCV3 by IHC. Molecular and serological prevalence studies revealed 12.5% nucleic acid and 55% antibody prevalence in US swine samples. Collectively, these studies identify emerging porcine viruses with the potential to cause disease using metagenomic sequencing. The results of these studies will help to mitigate the risk attributed to emerging swine viruses causing disease outbreaks.

As lagoas salino-alcalinas (salinas) da sub-região Nhecolândia do Pantanal, Mato Grosso do Sul, combinam valores de pH elevados com a presença de altas concentrações de sal, assemelhando-se aos lagos de soda da África Oriental. O entendimento atual dos mecanismos físicos, químicos e biológicos nestes ambientes extremos do Brasil é limitado. Embora os micro-organismos estejam envolvidos nos processos biogeoquímicos em ecossistemas aquáticos, investigações sobre os grupos bacterianos que contribuem para a diversidade e funções específicas nessas salinas inexistem. Assim, a presente dissertação centrou-se na avaliação da comunidade bacteriana de duas salinas (Salina Verde e Salina Preta), localizadas na sub-região da Nhecolândia. Especificamente, investigou-se a diversidade e a estrutura das comunidades bacterianas, os perfis metabólicos das lagoas e genes funcionais que codificam enzimas relacionadas a transformação do nitrogênio, mercúrio, selênio e arsênio. As amostras de água foram coletadas durante a estação seca (setembro de 2012) na Salina Verde (pH 9,5, E.C. 2575 mS cm-1), caracterizada pela presença constante de floração de cianobactérias e na Salina Preta (pH 8,9, E.C. 1500 mS cm-1), sem registro de ocorrência de floração. As amostragens foram realizadas em triplicatas em duas profundidades (superfície e fundo) e duas vezes no dia (10:00 h e 15:00 h) devido à ocorrência natural de saturação de oxigênio observada na Salina Verde. O DNA total de cada amostra ambiental foi extraído e a diversidade bacteriana e funcionalidade foram acessadas por pirosequenciamento do gene de 16S RNAr e sequenciamento metagenômico. A análise de PCR quantitativa do gene de 16S RNAr foi realizada de forma a quantificar a comunidade bacteriana. A abundância bacteriana foi maior na Salina Verde do que na Salina Preta (1010 e 109 cópias mL-1, respectivamente). As sequências parciais do gene de 16S RNAr obtidas no pirosequenciamento mostraram a dominância de táxons do gênero Anabaenopsis sp. na floração da Salina Verde, englobando até 92% do total de sequências. A comunidade bacteriana da Salina Preta apresentou os maiores índices de diversidade e riqueza, sendo dominantes os filos Proteobacteria, Bacteroidetes, Acidobacteria e Verrucomicrobia. Apenas a Salina Preta mostrou diferenças na comunidade bacteriana de acordo com as profundidades amostradas. Na superfície desta lagoa, os filos Actinobacteria e Verrucomicrobia predominaram, enquanto no fundo, prevaleceram os filos Proteobacteria e Chlamydiae. A temperatura foi detectada como o fator abiótico que influenciou a heterogeneidade espacial da Salina Preta. Por sua vez, a alcalinidade e o pH foram os fatores que impulsionaram as diferenças e variações das comunidades bacterianas em ambas as lagoas. Genes bacterianos envolvidos nos ciclos biogeoquímicos do nitrogênio, mercúrio e arsênio foram encontrados nas salinas Verde e Preta, sugerindo uma elevada redundância funcional nas transformações desses elementos. Não foram encontrados genes microbianos envolvidos no ciclo do selênio. Os dados gerados revelaram uma comunidade microbiana taxonômica e funcionalmente complexa que habita as salinas. Os resultados deste estudo fornecem uma avaliação aprofundada baseada em abordagens independentes de cultivo, sendo este um passo importante na compreensão da dinâmica funcional desses ambientes no Pantanal brasileiro. / The saline-alkaline lakes (salinas) of the Nhecolândia sub-region of the Pantanal, Mato Grosso do Sul state, combine high pH values with the presence of high salt concentrations, resembling the soda lakes of East Africa. The current understanding of physical, chemical and biological mechanisms in these extreme environments is limited. Although microorganisms are involved in biogeochemical processes in aquatic ecosystem, researches on the bacterial groups that contribute to diversity and specific functions in these salinas are scarce. This dissertation therefore focused on the evaluation of bacterial community of two salinas (Salina Verde and Salina Preta) located in the Nhecolândia subregion. Specifically, it was investigated the diversity and structure of bacterial communities, the metabolic profile of the lakes and functional genes that encode the nitrogen, mercury and arsenic-transforming enzymes. Water samples were collected during the dry season (September 2012) from Salina Verde (pH 9.5, E.C. 2575 mS cm-1), characterized by constant presence of cyanobacterial bloom, and from Salina Preta (pH 8.9, E.C. 1500 mS cm-1), with no report of bloom occurrence. Triplicate samplings were carried out in two depths (surface and bottom) and twice a day (10 AM and 3 PM) due to naturally occurrence of oxygen saturation, observed at Salina Verde. Total DNA of each environmental sample was extracted and bacterial diversity and functionality were accessed by 16S rRNA gene pyrosequencing and metagenomic sequencing. Analysis of quantitative PCR of the 16S rRNA gene was performed in order to quantify the bacterial community. Bacterial abundance was higher in the Salina Verde than in the Salina Preta (1010 and 109 copies mL-1, respectively). The partial sequences of the 16S rRNA gene obtained in the pyrosequencing revealed the genus Anabaenopsis sp. as the dominant taxa in the Salina Verde bloom, encompassing up to 92% of the total bacteria. Bacterial community of the Salina Preta showed the highest diversity and richness index, with dominant phyla Proteobacteria, Bacteroidetes, Acidobacteria and Verrucomicrobia. Only the Salina Preta showed differences in bacterial community in accordance with the depths sampled. On the surface of this lake, the phyla Actinobacteria and Verrucomicrobia predominated, while in the bottom, Proteobacteria and Chlamydiae prevailed. The temperature was detected as the abiotic factor influencing the spatial heterogeneity at Salina Preta. On the other hand, alkalinity and pH were the factors driving the differences and variation of bacterial community in both lakes. Bacterial genes involved in the biogeochemical cycles of nitrogen, mercury and arsenic were found in Salina Verde and Salina Preta, suggesting a high metabolic redundancy in the transformation these elements. No microbial genes involved in selenium cycle were found. The data showed a taxonomic and functional complex microbial community inhabiting salinas. The results of this study provide a detailed assessment based on culture-independent approaches, which is a stepping stone to understand the functional dynamics of these environments in the Brazilian Pantanal.

As lagoas salino-alcalinas (salinas) da sub-região Nhecolândia do Pantanal, Mato Grosso do Sul, combinam valores de pH elevados com a presença de altas concentrações de sal, assemelhando-se aos lagos de soda da África Oriental. O entendimento atual dos mecanismos físicos, químicos e biológicos nestes ambientes extremos do Brasil é limitado. Embora os micro-organismos estejam envolvidos nos processos biogeoquímicos em ecossistemas aquáticos, investigações sobre os grupos bacterianos que contribuem para a diversidade e funções específicas nessas salinas inexistem. Assim, a presente dissertação centrou-se na avaliação da comunidade bacteriana de duas salinas (Salina Verde e Salina Preta), localizadas na sub-região da Nhecolândia. Especificamente, investigou-se a diversidade e a estrutura das comunidades bacterianas, os perfis metabólicos das lagoas e genes funcionais que codificam enzimas relacionadas a transformação do nitrogênio, mercúrio, selênio e arsênio. As amostras de água foram coletadas durante a estação seca (setembro de 2012) na Salina Verde (pH 9,5, E.C. 2575 mS cm-1), caracterizada pela presença constante de floração de cianobactérias e na Salina Preta (pH 8,9, E.C. 1500 mS cm-1), sem registro de ocorrência de floração. As amostragens foram realizadas em triplicatas em duas profundidades (superfície e fundo) e duas vezes no dia (10:00 h e 15:00 h) devido à ocorrência natural de saturação de oxigênio observada na Salina Verde. O DNA total de cada amostra ambiental foi extraído e a diversidade bacteriana e funcionalidade foram acessadas por pirosequenciamento do gene de 16S RNAr e sequenciamento metagenômico. A análise de PCR quantitativa do gene de 16S RNAr foi realizada de forma a quantificar a comunidade bacteriana. A abundância bacteriana foi maior na Salina Verde do que na Salina Preta (1010 e 109 cópias mL-1, respectivamente). As sequências parciais do gene de 16S RNAr obtidas no pirosequenciamento mostraram a dominância de táxons do gênero Anabaenopsis sp. na floração da Salina Verde, englobando até 92% do total de sequências. A comunidade bacteriana da Salina Preta apresentou os maiores índices de diversidade e riqueza, sendo dominantes os filos Proteobacteria, Bacteroidetes, Acidobacteria e Verrucomicrobia. Apenas a Salina Preta mostrou diferenças na comunidade bacteriana de acordo com as profundidades amostradas. Na superfície desta lagoa, os filos Actinobacteria e Verrucomicrobia predominaram, enquanto no fundo, prevaleceram os filos Proteobacteria e Chlamydiae. A temperatura foi detectada como o fator abiótico que influenciou a heterogeneidade espacial da Salina Preta. Por sua vez, a alcalinidade e o pH foram os fatores que impulsionaram as diferenças e variações das comunidades bacterianas em ambas as lagoas. Genes bacterianos envolvidos nos ciclos biogeoquímicos do nitrogênio, mercúrio e arsênio foram encontrados nas salinas Verde e Preta, sugerindo uma elevada redundância funcional nas transformações desses elementos. Não foram encontrados genes microbianos envolvidos no ciclo do selênio. Os dados gerados revelaram uma comunidade microbiana taxonômica e funcionalmente complexa que habita as salinas. Os resultados deste estudo fornecem uma avaliação aprofundada baseada em abordagens independentes de cultivo, sendo este um passo importante na compreensão da dinâmica funcional desses ambientes no Pantanal brasileiro. / The saline-alkaline lakes (salinas) of the Nhecolândia sub-region of the Pantanal, Mato Grosso do Sul state, combine high pH values with the presence of high salt concentrations, resembling the soda lakes of East Africa. The current understanding of physical, chemical and biological mechanisms in these extreme environments is limited. Although microorganisms are involved in biogeochemical processes in aquatic ecosystem, researches on the bacterial groups that contribute to diversity and specific functions in these salinas are scarce. This dissertation therefore focused on the evaluation of bacterial community of two salinas (Salina Verde and Salina Preta) located in the Nhecolândia subregion. Specifically, it was investigated the diversity and structure of bacterial communities, the metabolic profile of the lakes and functional genes that encode the nitrogen, mercury and arsenic-transforming enzymes. Water samples were collected during the dry season (September 2012) from Salina Verde (pH 9.5, E.C. 2575 mS cm-1), characterized by constant presence of cyanobacterial bloom, and from Salina Preta (pH 8.9, E.C. 1500 mS cm-1), with no report of bloom occurrence. Triplicate samplings were carried out in two depths (surface and bottom) and twice a day (10 AM and 3 PM) due to naturally occurrence of oxygen saturation, observed at Salina Verde. Total DNA of each environmental sample was extracted and bacterial diversity and functionality were accessed by 16S rRNA gene pyrosequencing and metagenomic sequencing. Analysis of quantitative PCR of the 16S rRNA gene was performed in order to quantify the bacterial community. Bacterial abundance was higher in the Salina Verde than in the Salina Preta (1010 and 109 copies mL-1, respectively). The partial sequences of the 16S rRNA gene obtained in the pyrosequencing revealed the genus Anabaenopsis sp. as the dominant taxa in the Salina Verde bloom, encompassing up to 92% of the total bacteria. Bacterial community of the Salina Preta showed the highest diversity and richness index, with dominant phyla Proteobacteria, Bacteroidetes, Acidobacteria and Verrucomicrobia. Only the Salina Preta showed differences in bacterial community in accordance with the depths sampled. On the surface of this lake, the phyla Actinobacteria and Verrucomicrobia predominated, while in the bottom, Proteobacteria and Chlamydiae prevailed. The temperature was detected as the abiotic factor influencing the spatial heterogeneity at Salina Preta. On the other hand, alkalinity and pH were the factors driving the differences and variation of bacterial community in both lakes. Bacterial genes involved in the biogeochemical cycles of nitrogen, mercury and arsenic were found in Salina Verde and Salina Preta, suggesting a high metabolic redundancy in the transformation these elements. No microbial genes involved in selenium cycle were found. The data showed a taxonomic and functional complex microbial community inhabiting salinas. The results of this study provide a detailed assessment based on culture-independent approaches, which is a stepping stone to understand the functional dynamics of these environments in the Brazilian Pantanal.

Thesis (MSc (Genetics))--University of Stellenbosch, 2010. / Includes bibliography. / Title page: Dept. of Genetics, Faculty of Science / ENGLISH ABSTRACT: Next-generation sequencing technologies are increasingly used in metagenomic studies, largely due to the high sequence data throughput capacity and unbiased approach in determining the genetic composition of an unknown environmental sample. This study investigated the applicability of the Illumina next-generation sequencing platform for metagenomic sequencing of grapevine viruses to provide the first complete viral profile, or virome, of a diseased vineyard. Leaf material was harvested from 44 randomly selected vines in a leafroll-diseased vineyard in South Africa. Sample material was pooled and double-stranded RNA extracted. The dsRNA was sequenced as a paired-end sequencing run using the Illumina sequencing-by-synthesis technique, and more than 19 million sequence reads, equivalent to approximately 837 megabases of metagenomic sequence data, were obtained. Of these data, approximately 400 megabases could be assembled into 449 scaffolds, using the de novo assembler Velvet. These scaffolds were subjected to BLAST searches against the NCBI databases and top hit scores were used for virus identification. Based on the BLAST results, suitable sequences were selected from the NCBI database and used as reference sequence in MAQ mapping assemblies. The bioinformatic analyses allowed for the determination of the virus species present, the most prominent variants, and the relative abundance of each. Four known grapevine viral pathogens were identified. Grapevine leafroll-associated virus 3, representing 59% of the analyzed short read sequence data, was identified as the most prominent virus species. Three variants of this virus were detected: GP18 was the most abundant, followed by a minor Cl766/NY1 variant and a potential novel grapevine leafroll-associated ampelovirus. A single Grapevine rupestris stem pitting ]associated virus variant, similar to SG1, and a Grapevine virus A variant, a member of molecular group III, were identified. This study is also the first to report the presence of Grapevine virus E (GVE) in South African vineyards. Grapevine virus E was further genetically characterized and the genome sequence of GVE isolate SA94 determined. The GVE SA94 genome sequence, 7568 nucleotides in length, is the first complete genome sequence for the virus species. The genome organization of GVE SA94 is typical of vitiviruses, but in contrast to other RNA viruses, the AlkB domain is located within the helicase domain in open reading frame 1 (ORF 1). Grapevine virus E SA94 shares nearly 100% nucleotide identity with the Japanese TvP15 isolate and GVE 3404, a de novo scaffold generated from the metagenomic sequence data. Bioinformatic analysis of metagenomic sequence data further revealed the presence of three fungus-infecting viral families, Chrysoviridae, Totiviridae and the unclassified dsRNA virus, Fusarium graminearum dsRNA mycovirus 4. A virus from the family Chrysoviridae, similar to Penicillium chrysogenum virus, was the second most abundant virus detected. We demonstrated the successful application of a short read sequencing technology, such as the Illumina platform, for viral profiling of an infected vineyard. To our knowledge this is the first application of the Illumina technology for this purpose. / AFRIKAANSE OPSOMMING: Volgende-generasie tegnologie om basis volgordes van nukleiensure te bepaal, word al meer gebruik in metagenomiese studies. Dit is veral weens die hoe data-omset kapasiteit en onbevooroordeelde aanslag in die bepaling van die genetiese samestelling van onbekende omgewingsmonsters. Hierdie studie het die aanwending van die Illumina volgende-generasie volgorde-bepalingsplatform in 'n metagenomiese studie van wingerdvirusse, ondersoek. Dit het ten doel gehad om die eerste volledige virus profiel, of viroom, van 'n geinfekteerde wingerd saam te stel. Blaarmateriaal is verkry vanaf 44 lukraak-gekose wingerdstokke in 'n rolblad-geinfekteerde wingerd in Suid-Afrika. Monster materiaal is saamgevoeg en dubbelstring-RNS geekstraheer. Die dubbelstring-RNS is onderwerp aan gepaarde-ent volgorde-bepaling deur gebruik te maak van die Illumina volgorde-bepaling-deur-sintese tegniek. Meer as 19 miljoen volgorde reekse, ekwivalent aan ongeveer 837 megabasisse volgorde data, is verkry. Van hierdie data kon ongeveer 400 megabasisse saamgevoeg word in 449 konstrukte ("scaffolds"), deur gebruik te maak van die de novo samesteller Velvet. Hierdie konstrukte is onderwerp aan BLAST soektogte teen die NCBI databasisse en die hoogste trefslag-telling is gebruik vir virus identifikasie. Op grond van die "BLAST" resultate is geskikte volgordes geselekteer vanaf die NCBI databasis en gebruik as verwysingvolgordes in MAQ kartering-analises. Met die bioinfomatika analises kon die virus spesies teenwoordig, asook die mees prominente variante en relatiewe voorkoms van elk, bepaal word. Vier bekende virus wingerdpatogene is geidentifiseer. Grapevine leafroll-associated virus 3, verteenwoordig deur 59% van die geanaliseerde kort-reeks volgorde data, is identifiseer as die mees prominente virus spesie. Drie variante van die virus is in die wingerdmonster opgespoor: GP18 kom die mees algemeen voor, gevolg deur 'n CL-766/NY1 variant en 'n potensiele nuwe wingerd rolblad-geassosieerde ampelovirus. 'n Enkele Grapevine rupestris stem pitting-associated virus variant, soortgelyk aan SG1, en 'n Grapevine virus A variant, 'n lid van molekulere groep III, is geidentifiseer. Hierdie studie is ook die eerste om die teenwoordigheid van Grapevine virus E (GVE) in Suid-Afrikaanse wingerde te rapporteer. Grapevine virus E is verder geneties gekarakteriseer en die genoomvolgorde van GVE isolaat SA94 is bepaal. Die GVE SA94 genoomvolgorde, 7568 nukleotiede lank, is die eerste volledige genoomvolgorde vir hierdie virus spesie. Die genoomorganisasie is tipies van vitivirusse, maar in kontras met ander RNA virusse is die AlkB domein binne-in die helikase domein van oopleesraam 1 (ORF 1) geleë. Grapevine virus E SA94 deel byna 100% nukleotied identiteit met die Japannese TvP15 isolaat en GVE 3404, 'n de novo konstruk gegenereer vanaf die metagenomiese volgorde data. Bioinformatika analises van die metagenomiese volgorde data het verder die teenwoordigheid van drie swam-infekterende virus families, die Chrysoviridae, Totiviridae en ongeklassifiseerde dubbelstring-RNS virus, Fusarium graminearum dsRNA mycovirus 4, aangetoon. 'n Virus van die Chrysoviridae familie, soortgelyk aan Penicillium chrysogenum virus, het die tweede meeste voorgekom in die wingerd monster. Hierdie studie demonstreer die suksesvolle toepassing van 'n kort reeks volgorde-bepalingstegnologie soos die Illumina platform, vir die opstel van 'n virusprofiel van 'n geinfekteerde wingerd. Sover ons kennis strek is hierdie die eerste aanwending van die Illumina tegnologie vir hierdie doel.

L’avènement du séquençage métagénomique aléatoire a révolutionné la microbiologie en permettant la caractérisation sans culture préalable de communautés microbiennes complexes telles que le microbiote intestinal humain. Des outils bioinformatiques récemment développés atteignent une résolution au niveau de la souche en recensant des gènes accessoires ou en capturant des variants nucléotidiques (SNPs). Toutefois, ces outils sont limités par l’étendue des génomes de référence disponibles qui sont loin de couvrir toute la variabilité microbienne. En effet, de nombreuses espèces n’ont pas encore été séquencées ou sont représentées par seulement quelques génomes.La création de catalogues de gènes non redondants par assemblage de novo suivie du regroupement des gènes co-abondants révèlent une partie de la matière noire microbienne en reconstituant le répertoire de gènes d’espèces potentiellement inconnues. Bien que les méthodes existantes identifient avec précision les gènes core présents dans toutes les souches d’une espèce, elles omettent de nombreux gènes accessoires ou les divisent en petits groupes de gènes qui ne sont pas associés aux core génomes. Or, capturer ces gènes accessoires est indispensable en recherche clinique et épidémiologique car ces derniers assurent des fonctions spécifiques à certaines souches telles que la pathogénicité ou la résistance aux antibiotiques.Lors de cette thèse, nous avons développé MSPminer, un logiciel performant qui reconstitue et structure des pan-génomes d’espèces métagénomiques (ou MSPs pour Metagenomic Species Pan-genomes) en regroupant les gènes co-abondants dans un ensemble d’échantillons métagénomiques. MSPminer s’appuie sur une nouvelle mesure robuste de la proportionnalité couplée à un classificateur empirique pour regrouper et distinguer les gènes core mais aussi les gènes accessoires des espèces microbiennes.Grâce à MSPminer, nous avons structuré un catalogue de 9,9 millions de gènes du microbiote intestinal humain en 1 661 MSPs. L’homogénéité de l’annotation taxonomique, de la composition nucléotidique ainsi que la présence de gènes essentiels indiquent que les MSPs ne correspondent pas à des chimères mais à des objets biologiquement cohérents regroupant des gènes provenant de la même espèce. Parmi ces MSPs, 1 301 (78%) n’ont pas pu être annotées au niveau espèce montrant que de nombreux microorganismes colonisant l’intestin humain demeurent inconnus malgré les progrès substantiels des techniques de culture microbienne. Remarquablement, les MSPs capturent bien plus de gènes que les clusters générés par les outils existants tout en garantissant une spécificité élevée.Cet ensemble de MSPs peut d’ores et déjà être utilisé pour le profilage taxonomique et la découverte de biomarqueurs dans des échantillons de selles humaines. Ainsi, nous tirons parti des MSPs pour comparer l’impact sur le microbiote intestinal des deux principaux types de chirurgie bariatrique, la gastrectomie par laparoscopie (LSG) et la dérivation gastrique de Roux-en-Y (LRYGB). Enfin, les MSPs ouvrent la voie à des analyses au niveau souche. Dans une autre cohorte, nous avons mis en évidence l’existence de sous-espèces associées à l’origine géographique de l’hôte en étudiant les profils de présence/absence des gènes accessoires groupés dans les MSPs. / The advent of shotgun metagenomic sequencing has revolutionized microbiology by allowing culture-independent characterization of complex microbial communities such as the human gut microbiota. Recently developed bioinformatics tools achieved strain-level resolution by making a census of accessory genes or by capturing nucleotide variants (SNPs). Yet, these tools are hampered by the extent of available reference genomes which are far from covering all the microbial variability. Indeed, many species are still not sequenced or are represented by only few genomes.Building of non-redundant gene catalogs followed by the binning of co-abundant genes reveals a part of the microbial dark matter by reconstituting the gene repertoire of species potentially unknown. While existing methods accurately identify core genes present in all the strains of a species, they miss many accessory genes or split them into small gene groups that remain unassociated to core genomes. However, capturing these accessory genes is essential in clinical research and epidemiology because they provide functions specific to certain strains such as pathogenicity or antibiotic resistance.In this thesis, we developed MSPminer, a computationally efficient software tool that reconstitutes Metagenomic Species Pan-genomes (MSPs) by binning co-abundant genes across metagenomic samples. MSPminer relies on a new robust measure of proportionality coupled with an empirical classifier to group and distinguish not only species core genes but accessory genes also.With MSPminer, we structured a catalog made up of 9.9 million genes of the human gut microbiota in 1 661 MSPs. The homogeneity of the taxonomic annotation, of the nucleotide composition as well as the presence of essential genes indicate that the MSPs do not correspond to chimeras but to biologically consistent objects grouping genes from the same species. Among these MSPs, 1 301 (78%) could not be annotated at species level showing that many microorganisms colonizing the human intestinal tract are still unknown despite the substantial improvements of microbial culture techniques. Remarkably, MSPs capture more genes than clusters generated by existing tools while ensuring high specificity.This set of MSPs can be readily used for taxonomic profiling and biomarkers discovery in human gut metagenomic samples. In this way, we take advantage of the MSPs to compare the impact of two main types of surgeries, the laparoscopic sleeve gastrectomy (LSG) and the Roux-En-Y gastric bypass (LRYGB). Finally, the MSPs open the way to strain-level analyses. In another cohort, we identified subspecies associated the host geographical origin by studying presence/absence patterns of the accessory genes grouped in the MSPs.