Готові списки джерел за темами / Host - microbial interaction

Добірка наукової літератури з теми "Host - microbial interaction"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Host - microbial interaction"

1

Priya, Ayushi. "Microbial Host Interaction in Periodontal Diseases." Indian Journal of Public Health Research & Development 10, no. 11 (2019): 798. http://dx.doi.org/10.5958/0976-5506.2019.03583.6.

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2

Fasano, Alessio. "Understanding the Dialogue: the Microbial–Host Interaction." Annales Nestlé (English ed.) 67, no. 1 (2009): 9–18. http://dx.doi.org/10.1159/000187165.

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3

BUZA, Victoria, Maria Catalina MATEI, and Laura Cristina STEFANUT. "Intestinal Ecosystem: Interaction and Coexistence Between “Parasitome” and Microbial Communities." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Veterinary Medicine 77, no. 1 (June 3, 2020): 15. http://dx.doi.org/10.15835/buasvmcn-vm:2019.0032.

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The vertebrate gut has been continuously populated with complex and dynamic microbial and eukaryotic communities, that over millions of years have coevolved both spatially and temporally (Kreisinger et al., 2015). Due to the prolonged coexistence, intestinal parasites (protozoa and helminths) and resident microbiota have developed the ability to influence one another by several mechanisms: 1) produce changes at the level of intestinal mucus and epithelial barrier, 2) alter the host immune response or 3) direct interaction (Leung et al., 2018). The uncontrolled use of anthelmintics can lead to the elimination of commensal organisms and alteration of host immunity and intestinal microbial community composition. Thus, the aim of this research is to highlight the complexity of interactions between intestinal bacteria and parasites and their importance for the host. The “parasitome”- microbiota relationship is a complex phenomenon that plays an essential role in host intestinal homeostasis, the absence or alteration of either of these organisms being able to cause a severe disruption of host immune system (Leung et al., 2018). Is therefore essential to acquire a deeper understanding of the molecular mechanisms of interaction between these two communities.
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4

Zhang, Rui, and Aixin Hou. "Host-Microbe Interactions in Caenorhabditis elegans." ISRN Microbiology 2013 (August 1, 2013): 1–7. http://dx.doi.org/10.1155/2013/356451.

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A good understanding of how microbes interact with hosts has a direct bearing on our capability of fighting infectious microbial pathogens and making good use of beneficial ones. Among the model organisms used to study reciprocal actions among microbes and hosts, C. elegans may be the most advantageous in the context of its unique attributes such as the short life cycle, easiness of laboratory maintenance, and the availability of different genetic mutants. This review summarizes the recent advances in understanding host-microbe interactions in C. elegans. Although these investigations have greatly enhanced our understanding of C. elegans-microbe relationships, all but one of them involve only one or few microbial species. We argue here that more research is needed for exploring the evolution and establishment of a complex microbial community in the worm’s intestine and its interaction with the host.
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5

NV, Beloborodova. "Low-Molecular Weight Bacterial Metabolites in Host-Microbial Interaction." Infectious & Non Infectious Diseases 2, no. 1 (June 9, 2016): 1–11. http://dx.doi.org/10.24966/inid-8654/100011.

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6

Kumar, P. S., M. F. Monteiro, S. M. Dabdoub, G. L. Miranda, M. Z. Casati, F. V. Ribeiro, F. R. Cirano, S. P. Pimentel, and R. C. V. Casarin. "Subgingival Host-Microbial Interactions in Hyperglycemic Individuals." Journal of Dental Research 99, no. 6 (March 16, 2020): 650–57. http://dx.doi.org/10.1177/0022034520906842.

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Type 2 diabetes mellitus (T2DM) is an established risk factor for periodontitis, yet its contribution to creating host-bacterial disequilibrium in the subgingival crevice is poorly understood. The present investigation aimed to quantify the impact of hyperglycemia on host-bacterial interactions in established periodontitis and to map shifts in these dynamics following mechanical nonsurgical therapy. Seventeen T2DM and 17 non-T2DM subjects with generalized severe chronic periodontitis were recruited along with 20 periodontally healthy individuals. Subjects with periodontitis were treated with scaling and root planing (SRP). Samples of subgingival biofilm and gingival crevicular fluid were collected at baseline and at 1-, 3-, and 6 mo postoperatively. Correlations were generated between 13.7 million 16S ribosomal DNA sequences and 8 immune mediators. Intermicrobial and host-microbial interactions were modeled using differential network analysis. Periodontal health was characterized by a sparse interbacterial and highly connected cytokine-bacterial network, while both normoglycemics and T2DM subjects with periodontitis demonstrated robust congeneric and intergeneric hubs but significantly fewer cytokine-bacterial connections. Following SRP, the cytokine-bacterial edges demonstrated a 2-fold increase 1 mo postoperatively and a 10-fold increase at 6 mo in normoglycemics. In hyperglycemics, there was a doubling at 1 mo but no further changes thereafter. These shifts accompanied an increasingly sparse interbacterial network. In normoglycemics, the nodes anchored by interleukin (IL)–4, IL-6, and IL-10 demonstrated greatest rewiring, while in hyperglycemics, IL-1β, IL-6, INF-γ, and IL-17 exhibited progressive rewiring. Thus, the present investigation points to a breakdown in host-bacterial mutualism in periodontitis, with interbacterial interactions rather than host-bacterial interactions primarily determining community assembly. Hyperglycemia further exacerbates this uncoupled mutualism. Our data also demonstrate that while nonsurgical therapy might not consistently alter microbial abundances or lower proinflammatory molecules, it “reboots” the interaction between the immunoinflammatory system and the newly colonizing microbiome, restoring a role for the immune system in determining bacterial colonization. However, this outcome is lower and delayed in hyperglycemics.
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7

Moeller, Andrew H., Steffen Foerster, Michael L. Wilson, Anne E. Pusey, Beatrice H. Hahn, and Howard Ochman. "Social behavior shapes the chimpanzee pan-microbiome." Science Advances 2, no. 1 (January 2016): e1500997. http://dx.doi.org/10.1126/sciadv.1500997.

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Animal sociality facilitates the transmission of pathogenic microorganisms among hosts, but the extent to which sociality enables animals’ beneficial microbial associations is poorly understood. The question is critical because microbial communities, particularly those in the gut, are key regulators of host health. We show evidence that chimpanzee social interactions propagate microbial diversity in the gut microbiome both within and between host generations. Frequent social interaction promotes species richness within individual microbiomes as well as homogeneity among the gut community memberships of different chimpanzees. Sampling successive generations across multiple chimpanzee families suggests that infants inherited gut microorganisms primarily through social transmission. These results indicate that social behavior generates a pan-microbiome, preserving microbial diversity across evolutionary time scales and contributing to the evolution of host species–specific gut microbial communities.
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8

Weiland-Bräuer, Nancy. "Friends or Foes—Microbial Interactions in Nature." Biology 10, no. 6 (June 2, 2021): 496. http://dx.doi.org/10.3390/biology10060496.

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Microorganisms are present in nearly every niche on Earth and mainly do not exist solely but form communities of single or mixed species. Within such microbial populations and between the microbes and a eukaryotic host, various microbial interactions take place in an ever-changing environment. Those microbial interactions are crucial for a successful establishment and maintenance of a microbial population. The basic unit of interaction is the gene expression of each organism in this community in response to biotic or abiotic stimuli. Differential gene expression is responsible for producing exchangeable molecules involved in the interactions, ultimately leading to community behavior. Cooperative and competitive interactions within bacterial communities and between the associated bacteria and the host are the focus of this review, emphasizing microbial cell–cell communication (quorum sensing). Further, metagenomics is discussed as a helpful tool to analyze the complex genomic information of microbial communities and the functional role of different microbes within a community and to identify novel biomolecules for biotechnological applications.
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9

Galiana, Eric, Antoine Marais, Catherine Mura, Benoît Industri, Gilles Arbiol, and Michel Ponchet. "Ecosystem Screening Approach for Pathogen-Associated Microorganisms Affecting Host Disease." Applied and Environmental Microbiology 77, no. 17 (July 8, 2011): 6069–75. http://dx.doi.org/10.1128/aem.05371-11.

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ABSTRACTThe microbial community in which a pathogen evolves is fundamental to disease outcome. Species interacting with a pathogen on the host surface shape the distribution, density, and genetic diversity of the inoculum, but the role of these species is rarely determined. The screening method developed here can be used to characterize pathogen-associated species affecting disease. This strategy involves three steps: (i) constitution of the microbial community, using the pathogen as a trap; (ii) community selection, using extracts from the pathogen as the sole nutrient source; and (iii) molecular identification and the screening of isolates focusing on their effects on the growth of the pathogenin vitroand host disease. This approach was applied to a soilborne plant pathogen,Phytophthora parasitica, structured in a biofilm, for screening the microbial community from the rhizosphere ofNicotiana tabacum(the host). Two of the characterized eukaryotes interfered with the oomycete cycle and may affect the host disease. AVorticellaspecies acted through a mutualistic interaction withP. parasitica, disseminating pathogenic material by leaving the biofilm. APhomaspecies established an amensal interaction withP. parasitica, strongly suppressing disease by inhibitingP. parasiticagermination. This screening method is appropriate for all nonobligate pathogens. It allows the definition of microbial species as promoters or suppressors of a disease for a given biotope. It should also help to identify important microbial relationships for ecology and evolution of pathogens.
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10

Casadevall, Arturo, and Liise-anne Pirofski. "Microbial virulence results from the interaction between host and microorganism." Trends in Microbiology 11, no. 4 (April 2003): 157–58. http://dx.doi.org/10.1016/s0966-842x(03)00008-8.

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Дисертації з теми "Host - microbial interaction"

1

Yan, Shuangchun. "Using the Bacterial Plant Pathogen Pseudomonas syringae pv. tomato as a Model to Study the Evolution and Mechanisms of Host Range and Virulence." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77293.

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Most plant pathogens are specialists where only few plant species are susceptible, while all other plants are resistant. Unraveling the mechanisms behind this can thus provide valuable information for breeding or engineering crops with durable disease resistance. A group of Pseudomonas syringae strains with different host ranges while still closely related were thus chosen for comparative study. We confirmed their close phylogenetic relationship. We found evidence supporting that these strains recombined during evolution. The Arabidopsis thaliana and tomato pathogen P. syringae pv. tomato (Pto) DC3000 was found to be an atypical tomato strain, distinct from the typical Pto strains commonly isolated in the field that do not cause disease in A. thaliana, such as Pto T1. Comparing A. thaliana defense responses to DC3000 and T1, we found that T1 is eliciting stronger responses than DC3000. T1 is likely lacking Type III effector genes necessary to suppress plant defense. To test this, we sequenced the genomes of strains that cause and do not cause disease in A. thaliana. Comparative genomics revealed candidate effector genes responsible for this host range difference. Effector genes conserved in strains pathogenic in A. thaliana were expressed in T1 to test whether they would allow T1 to growth better in A. thaliana. Surprisingly, most of them reduced T1 growth. One of the effectors, HopM1, was of particular interest because it is disrupted in typical Pto strains. Although HopM1 has known virulence function in A. thaliana, HopM1 reduced T1 growth in both A. thaliana and tomato. HopM1 also increased the number of bacterial specks but reduced their average size in tomato. Our data suggest that HopM1 can trigger defenses in these plants. Additionally, transgenic detritivore Pseudomonas fluorescens that can secrete HopM1 shows dramatically increased growth in planta. The importance of genetic background of the pathogen for the functions of individual effectors is discussed. T1 cannot be manipulated to become an A. thaliana pathogen by deleting or adding individual genes. We now have a list of genes that can be studied in the future for the molecular basis of host range determination.
Ph. D.
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2

Phetcharaburanin, Jutarop. "Gut microbial-host metabolic interactions following bariatric surgery." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/61845.

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Obesity has emerged as one of the major global socioeconomic healthcare burdens at present. Bariatric surgery, especially Roux-en-Y gastric bypass (RYGB) has been largely utilised to treat individual suffering from morbid obesity. In the current study, a hyperinsulinemic obese Zucker rat model was employed to study two different weight loss approaches, RYGB and caloric restriction. To understand the host metabolic-microbial cross-talk, the two major analytical platforms including nuclear magnetic resonance (NMR) spectroscopy and 16S rRNA gene Illumina MiSeq sequencing were used in companion with multivariate statistical analysis to extract useful information from data with high complexity. The aim of this study was to 1) characterise the genotype-associated metabolic and microbial fingerprints; 2) investigate the dynamic changes in biofluids from RYGB-treated or caloric restriction-treated obese Zucker rats; 3) investigate genotype-related, RYGBinduced or caloric restriction-induced metabolic profiles and microbial shifts of the luminal contents; and 4) investigate the statistical correlation between metabolites and gut microbiota following either of the weight loss treatment. Metabolic observations of portal vein and peripheral blood plasma profiles in both obese and lean Zucker rats indicated the phenotype-independent absorption of short-chain fatty acids (SCFAs), choline and trimethylamine (TMA). However, phenotype-specific urinary host-microbial co-metabolites were revealed, suggesting distinct gut microbial metabolic activities in lean and obese Zucker rats. Furthermore, metabolic alterations induced by the RYGB surgery included the enhanced production of neuroactive metabolites, branchedchain amino acid (BCAA) catabolism, aromatic amino acid metabolism with lower lipogenesis and SCFA production. Even though caloric restriction demonstrated some health benefit-related biochemical and microbial markers, its effectiveness as a resolution for metabolic syndrome, especially type-2 diabetes mellitus has not been observed in this study in spite of the significant weight reduction.
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3

Hanage, William Paul. "Host microbial interactions in the pathogenesis of Viridans streptococcal septic shock." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272512.

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4

Landrygan-Bakri, Janine. "Host-microbial interactions and cellular reponses associated with 'Streptococcus anginosus' group infection." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/55625/.

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Interactions of the Streptococcus anginosus group (SAG) with the extracellular matrix (ECM) and subsequent effects on host connective tissue and bacterial cells is proposed to be important in the initial establishment of dentoalveolar infections. The aim of this thesis was to investigate the interactions of the SAG with small leucine-rich proteoglycans (SLRPs), decorin and biglycan, from periodontal tissues and recombinant decorin and biglycan. Additional aims were to investigate the subsequent effects of the SAG on cellular components within host tissues and the influence of ECM components on bacterial phenotype. Using surface plasmon resonance, this study indicated that both commensal and pathogenic strains of the SAG interact with SLRPs but there was preferential binding toward the dermatan sulphate-substituted decorin and biglycan present in gingival tissues. In addition, commensal and pathogenic SAG isolates were shown to influence periodontal ligament (PDL) and endothelial ECM responses, including cell growth and PG synthesis. The effects on the different cell types illustrates the complexity of disease caused by the SAG, and helps to highlight the complicated roles decorin and biglycan play within the ECM. This study has also shown that potential virulence factors of the SAG, including degradative enzymes, are up-regulated following exposure to ECM components derived from PDL cells, potentially causing destruction of the host ECM and possibly inhibiting remodelling of the ECM. Overall, this thesis provides valuable information on host-SAG interactions, highlighting complex roles for SAG and SLRPs in the establishment of periapical abscesses.
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Sanguino, Casado Laura. "Exploration des interactions virus-hôte et leur importance pour l'adaptation microbienne à travers du CRISPRs." Thesis, Ecully, Ecole centrale de Lyon, 2015. http://www.theses.fr/2015ECDL0033/document.

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Les interactions entre les membres d'une communauté microbienne peuvent être un moyen d'adaptation dans l'environnement. Parmi les nombreuses interactions qui ont lieu dans un écosystème et qui joue un rôle majeur sur la diversité et la dynamique des populations microbiennes est celui des virus procaryotes et leurs hôtes. Les virus peuvent également arbitrer le transfert de matériel génétique entre les procaryotes (transduction), qui pourrait être un mécanisme d'adaptation rapide. Afin de déterminer l'impact potentiel des virus et la transduction, nous avons besoin d'une meilleure compréhension de la dynamique des interactions entre virus et leurs hôtes dans l'environnement. Les données sur les virus de l'environnement sont rares, et les méthodes pour le suivi de leurs interactions avec les procaryotes sont nécessaires. Clustered regularly interspaced short palindromic repeats (CRISPRs), qui contiennent des séquences virales dans les génomes bactériens, pourraient aider à documenter l'histoire des interactions virus-hôte dans l'environnement. Ainsi, cette thèse vise à explorer les interactions virus-hôte dans un environnement donné à travers du séquences CRISPR.Les virus de la cryosphère sont considérés comme abondantes, très actif et avec de larges gammes d'hôtes. Ces caractéristiques pourraient faire de la transduction virale, un facteur clé pour l’adaptation microbienne dans ces environnements. Des métagénomes publics créés à partir des environnements avec une gamme de températures différents ont été examinés. De cette manière, certaines dynamiques d'interactions virus-hôte se sont révélées comme ayant une corrélation avec la température. Un flux de travail a ensuite été développé pour créer un réseau reliant les virus et leurs hôtes en utilisant des séquences CRISPR obtenus à partir de données métagénomiques de la glace des glaciers et du sol de l'Arctique. La création de réseaux d'infection à traves du CRISPRs a fourni une nouvelle perspective sur les interactions virus-hôte. En outre, nous avons cherché des événements de transduction dans les données métagénomiques par la recherche de séquences virales contenant de l'ADN microbien. L’analyse indiquée que les bactériophages du Ralstonia pourraient être des agents de transduction dans la glace des glaciers de l'Arctique
Interactions between the members of a microbial community can be a means of adaptation in the environment. Among the many interactions that take place in an ecosystem and have been seen to play a major role on microbial diversity and population dynamics is that of prokaryotic viruses and their hosts. Viruses can also mediate the transfer of genetic material between prokaryotes (transduction), which could be a mechanism for rapid adaptation. In order to determine the potential impact of viruses and transduction, we need a better understanding of the dynamics of interactions between viruses and their hosts in the environment. Data on environmental viruses are scarce, and methods for tracking their interactions with prokaryotes are needed. Clustered regularly interspaced short palindromic repeats (CRISPRs), which contain viral sequences in bacterial genomes, might help document the history of virus-host interactions in the environment. Thus, this thesis aimed to explore virus-host interactions in a given environment through CRISPRs. Viruses in the cryosphere have been seen to be abundant, highly active and with broad host ranges. These characteristics could make viral transduction a key driver of adaptation in these environments. Public metagenomes created from environments over a range of temperatures were examined through sequence and CRISPR analysis. In this fashion, certain virus-host interaction dynamics were found to have a correlation with temperature. A workflow was then developed to create a network linking viruses and their hosts using CRISPR sequences obtained from metagenomic data from Arctic glacial ice and soil. The creation of CRISPR-based infection networks provided a new perspective on virus-host interactions in glacial ice. Moreover, we searched for transduction events in metagenomic data by looking for viral sequences containing microbial DNA. Further analysis of the viral sequences in the CRISPRs indicated that Ralstonia phages might be agents of transduction in Arctic glacial ice
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6

Tujulin, Eva. "Host interactions of the intracellular bacterium Coxiella burnetii : internalisation, induction of bacterial proteins and host response upon infection /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5425-5.pdf.

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7

Austin, Andrew Simon. "CD14, toll-like receptors and host-microbial interactions in portal hypertension and inflammatory bowel disease." Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410409.

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8

Chella, Krishnan Karthickeyan. "Host-Pathogen Interactions Promoting Pathogen Survival and Potentiating Disease Severity & Morbidity in Invasive Group A Streptococcal Necrotizing Soft Tissue Infections." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1446546952.

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9

Kaßler, Kristin [Verfasser], and Heinrich [Akademischer Betreuer] Sticht. "Exploring Stability, Dynamics and Interactions of Microbial Effectors and Host Proteins: A Computational Approach / Kristin Kaßler. Betreuer: Heinrich Sticht." Erlangen : Universitätsbibliothek der Universität Erlangen-Nürnberg, 2013. http://d-nb.info/1037020618/34.

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10

Driscoll, Timothy. "Host-Microbe Relations: A Phylogenomics-Driven Bioinformatic Approach to the Characterization of Microbial DNA from Heterogeneous Sequence Data." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/50921.

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Plants and animals are characterized by intimate, enduring, often indispensable, and always complex associations with microbes. Therefore, it should come as no surprise that when the genome of a eukaryote is sequenced, a medley of bacterial sequences are produced as well. These sequences can be highly informative about the interactions between the eukaryote and its bacterial cohorts; unfortunately, they often comprise a vanishingly small constituent within a heterogeneous mixture of microbial and host sequences. Genomic analyses typically avoid the bacterial sequences in order to obtain a genome sequence for the host. Metagenomic analysis typically avoid the host sequences in order to analyze community composition and functional diversity of the bacterial component. This dissertation describes the development of a novel approach at the intersection of genomics and metagenomics, aimed at the extraction and characterization of bacterial sequences from heterogeneous sequence data using phylogenomic and bioinformatic tools. To achieve this objective, three interoperable workflows were constructed as modular computational pipelines, with built-in checkpoints for periodic interpretation and refinement. The MetaMiner workflow uses 16S small subunit rDNA analysis to enable the systematic discovery and classification of bacteria associated with a host genome sequencing project. Using this information, the ReadMiner workflow comprehensively extracts, assembles, and characterizes sequences that belong to a target microbe. Finally, AssemblySifter examines the genes and scaffolds of the eukaryotic genome for sequences associated with the target microbe. The combined information from these three workflows is used to systemically characterize a bacterial target of interest, including robust estimation of its phylogeny, assessment of its signature profile, and determination of its relationship to the associated eukaryote. This dissertation presents the development of the described methodology and its application to three eukaryotic genome projects. In the first study, the genomic sequences of a single, known endosymbiont was extracted from the genome sequencing data of its host. In the second study, a highly divergent endosymbiont was characterized from the assembled genome of its host. In the third study, genome sequences from a novel bacterium were extracted from both the raw sequencing data and assembled genome of a eukaryote that contained significant amounts of sequence from multiple competing bacteria. Taken together, these results demonstrate the usefulness of the described approach in singularly disparate situations, and strongly argue for a sophisticated, multifaceted, supervised approach to the characterization of host-associated microbes and their interactions.
Ph. D.
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Книги з теми "Host - microbial interaction"

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Nestlé Nutrition Workshop (64th 2009 Sydney, N.S.W.). Microbial host-interaction: Tolerance versus allergy. Edited by Brandtzaeg Per, Isolauri Erika, Prescott Susan L, and Nestlé Nutrition Institute. Vevey, Switzerland: Nestec, 2009.

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Nestlé Nutrition Workshop (64th 2009 Sydney, N.S.W.). Microbial host-interaction: Tolerance versus allergy. Edited by Brandtzaeg Per, Isolauri Erika, Prescott Susan L, and Nestlé Nutrition Institute. Vevey, Switzerland: Nestec, 2009.

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3

Per, Brandtzaeg, Isolauri Erika, Prescott Susan L, and Nestlé Nutrition Institute, eds. Microbial host-interaction: Tolerance versus allergy. Vevey, Switzerland: Nestec, 2009.

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4

Ismail, Nahed. The role of HLA-B27 in host-microbial interaction. Ottawa: National Library of Canada, 1995.

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5

Bjerketorp, Joakim. Novel adhesive proteins of pathogenic Staphylococci and their interaction with host proteins. Uppsala: Swedish University of Agricultural Sciences, 2004.

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6

Thompson, Winston M. O. The Whitefly, Bemisia tabaci (Homoptera: Aleyrodidae) Interaction with Geminivirus-Infected Host Plants: Bemisia tabaci, Host Plants and Geminiviruses. Dordrecht: Springer Science+Business Media B.V., 2011.

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7

D, O'Connor C., Smith D. G. E, and Society for General Microbiology, eds. Microbial subversion of host cells. Cambridge, U.K: Cambridge University Press, 2003.

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8

Hubert, Laude, Vautherot Jean-François, and International Symposium on Coronaviruses (5th : 1992 : Chantilly, France), eds. Coronaviruses: Molecular biology and virus-host interactions. New York: Plenum Press, 1993.

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9

Lee-Ann, Jaykus, Wang Hua H. 1965-, Schlesinger Larry S, and American Society for Microbiology, eds. Food-borne microbes: Shaping the host ecosystem. Washington, DC: ASM Press, 2009.

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10

Who are we?: Microbes, the puppet masters! Hackensack, N.J: World Scientific, 2008.

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Частини книг з теми "Host - microbial interaction"

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Karthika Parvathy, K. R., Bibekanand Mallick, Yuwalee Unpaprom, Gaanty Prakash Maniam, Natanamurugaraj Govindan, and Paramasivan Balasubramanian. "Microbe–Host Metabolic Interaction: Probiotic Approach." In Microbial Engineering for Therapeutics, 201–30. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3979-2_9.

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Kasper, Dennis L. "A Paradigm for Commensalism: The Role of a Specific Microbial Polysaccharide in Health and Disease." In Microbial Host-Interaction: Tolerance versus Allergy, 1–10. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235779.

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Björkstén, Bengt. "The Hygiene Hypothesis: Do We Still Believe in It?" In Microbial Host-Interaction: Tolerance versus Allergy, 11–22. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235780.

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Brandtzaeg, Per. "‘ABC’ of Mucosal Immunology." In Microbial Host-Interaction: Tolerance versus Allergy, 23–43. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235781.

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Thornton, Catherine A., and Gareth Morgan. "Innate and Adaptive Immune Pathways to Tolerance." In Microbial Host-Interaction: Tolerance versus Allergy, 45–61. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235782.

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Wiedermann, Ursula. "Hitting the Mucosal Road in Tolerance Induction." In Microbial Host-Interaction: Tolerance versus Allergy, 63–74. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235783.

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Isolauri, Erika, Marko Kalliomäki, Samuli Rautava, Seppo Salminen, and Kirsi Laitinen. "Obesity – Extending the Hygiene Hypothesis." In Microbial Host-Interaction: Tolerance versus Allergy, 75–89. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235784.

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Cerf-Bensussan, Nadine. "Autoimmunity and Diet." In Microbial Host-Interaction: Tolerance versus Allergy, 91–104. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235785.

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Heine, Ralf G. "Eosinophilic Esophagitis: Example of an Emerging Allergic Manifestation?" In Microbial Host-Interaction: Tolerance versus Allergy, 105–20. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235786.

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Sartor, Balfour. "Microbial–Host Interactions in Inflammatory Bowel Diseases and Experimental Colitis." In Microbial Host-Interaction: Tolerance versus Allergy, 121–37. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235787.

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Тези доповідей конференцій з теми "Host - microbial interaction"

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Ball, Corbie, Bommireddy Ramireddy, Michael Keenan, Stephen Stern, Mohamad Azhar, Constance Gard, David G. Besselsen, and Thomas Doetschman. "Abstract 407: Loss ofSmad3alters host-microbial interactions, predisposing the colonic epithelium to inflammation." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-407.

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Ball, Corbie, Mohamad Azhar, Constance Gard, Dora Chen, Thomas Mast, Bruce Aronow, David Besselsen та Thomas Doetschman. "Abstract 1957: Loss of TGFβ1 alters host-microbial interactions, predisposing the colonic epithelium to inflammation". У Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1957.

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Coelho, Edgar D., Joel P. Arrais, and Jose Luis Oliveira. "Uncovering microbial duality within human microbiomes: A novel algorithm for the analysis of host-pathogen interactions." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319086.

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Barkhutova, D. D., V. G. Budagaeva, A. V. Malygin, S. V. Zaitseva, and E. V. Lavrentyeva. "ELEMENT COMPOSITION OF MICROBIAL MATS FROM DIFFERENT BIOLOGICAL ZONES OF THE ALLA HOT SPRING (BAIKAL RIFT ZONE)." In The Geological Evolution of the Water-Rock Interaction. Buryat Scientific Center of SB RAS Press, 2018. http://dx.doi.org/10.31554/978-5-7925-0536-0-2018-466-468.

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Sazal, Musfiqur. "Signed Causal Bayesian Networks for Microbiomes." In LatinX in AI at Neural Information Processing Systems Conference 2019. Journal of LatinX in AI Research, 2019. http://dx.doi.org/10.52591/lxai2019120815.

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Inferring causality is the process of connecting causes with effects. Identifying even a single causal relationship from data is more valuable than observing dozens of correlations in a data set. Microbe-microbe and host-microbe interactions play a vital role in both health and disease. In this study, we investigate how to learn a causal structure from data from microbiome studies and its potential interpretation about events and processes in the microbial community under study. We report evidence that causal structure can extract colonization patterns even though the analysis only uses data with no temporal information
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Wouters, Katinka, Hugo Moors, and Natalie Leys. "Boom Clay Borehole Water, Home of a Diverse Bacterial Community." In ASME 2013 15th International Conference on Environmental Remediation and Radioactive Waste Management. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icem2013-96222.

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For over two decades, Boom Clay has been studied in the framework of geological disposal of nuclear waste thereby mainly addressing its geochemical properties. Today, also the microbiological properties and the possibility of microbes interacting with radionuclides or repository components including the waste form, in a host formation like Boom Clay are considered [2,3]. In the past, a reference composition for synthetic Boom Clay pore water (BCPW) was derived, based on interstitial water sampled from different layers within the Boom clay [1]. Similarly, the primary aim of this microbiological study was to determine the core BCPW bacterial community and identify representative water samples for future microbial directed lab experiments. In this respect, BCPW was sampled from different Boom Clay layers using the Morpheus piezometer (Fig. 1) and subsequently analysed by microscopy and molecular techniques, in search for overall shared and abundant micro-organisms.
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Glazunova, Darina, Polina Kuryntseva, Polina Galitskaya, and Svetlana Selivanovskaya. "ASSESSMENT OF THE DIVERSITY OF RHIZOSPHERIC CULTIVATED BACTERIA IN WHEAT PLANTS GROWN ON DIFFERENT SOIL TYPES." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/6.2/s25.11.

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Microbial communities associated with the plant rhizosphere play an important role in carbon sequestration, regulation of nutrient cycling, and the efficient functioning of the ecosystem as a whole. The diversity of microorganisms inhabiting the plant rhizosphere and their complex interactions with the host plant significantly affect the morphology, physiology, growth, development, and health of plants. At the same time, it is known that the soil microbiome diversity is affected by the type of soil, the type of cultivated crop, and the method of tillage. In this study, the abundance and diversity of cultivated bacteria of the rhizosphere microbiome of wheat was assessed. Rhizospheric soil samples were taken from 5 fields with different types of soils (Greyzem, Chernozem, Podzols, Podzoluvisols, Podzoluvisols). Cultivated bacteria from the rhizosphere soil were isolated on meat-peptone and soil agars, and their number was determined. It has been established that the cultivated bacterial rhizobiome was least diverse in wheat plants grown on medium podzolic soil. The MALDI-TOF method was used to identify isolated cultivated isolate species. The genera Achromobacter, Acinetobacter, Bacillus, Microbacterium, Paenibacillus, Pseudomonas, Stenotrophomonas predominated among the isolated bacteria.
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Звіти організацій з теми "Host - microbial interaction"

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Crowley, David E., Dror Minz, and Yitzhak Hadar. Shaping Plant Beneficial Rhizosphere Communities. United States Department of Agriculture, July 2013. http://dx.doi.org/10.32747/2013.7594387.bard.

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PGPR bacteria include taxonomically diverse bacterial species that function for improving plant mineral nutrition, stress tolerance, and disease suppression. A number of PGPR are being developed and commercialized as soil and seed inoculants, but to date, their interactions with resident bacterial populations are still poorly understood, and-almost nothing is known about the effects of soil management practices on their population size and activities. To this end, the original objectives of this research project were: 1) To examine microbial community interactions with plant-growth-promoting rhizobacteria (PGPR) and their plant hosts. 2) To explore the factors that affect PGPR population size and activity on plant root surfaces. In our original proposal, we initially prqposed the use oflow-resolution methods mainly involving the use of PCR-DGGE and PLFA profiles of community structure. However, early in the project we recognized that the methods for studying soil microbial communities were undergoing an exponential leap forward to much more high resolution methods using high-throughput sequencing. The application of these methods for studies on rhizosphere ecology thus became a central theme in these research project. Other related research by the US team focused on identifying PGPR bacterial strains and examining their effective population si~es that are required to enhance plant growth and on developing a simulation model that examines the process of root colonization. As summarized in the following report, we characterized the rhizosphere microbiome of four host plant species to determine the impact of the host (host signature effect) on resident versus active communities. Results of our studies showed a distinct plant host specific signature among wheat, maize, tomato and cucumber, based on the following three parameters: (I) each plant promoted the activity of a unique suite of soil bacterial populations; (2) significant variations were observed in the number and the degree of dominance of active populations; and (3)the level of contribution of active (rRNA-based) populations to the resident (DNA-based) community profiles. In the rhizoplane of all four plants a significant reduction of diversity was observed, relative to the bulk soil. Moreover, an increase in DNA-RNA correspondence indicated higher representation of active bacterial populations in the residing rhizoplane community. This research demonstrates that the host plant determines the bacterial community composition in its immediate vicinity, especially with respect to the active populations. Based on the studies from the US team, we suggest that the effective population size PGPR should be maintained at approximately 105 cells per gram of rhizosphere soil in the zone of elongation to obtain plant growth promotion effects, but emphasize that it is critical to also consider differences in the activity based on DNA-RNA correspondence. The results ofthis research provide fundamental new insight into the composition ofthe bacterial communities associated with plant roots, and the factors that affect their abundance and activity on root surfaces. Virtually all PGPR are multifunctional and may be expected to have diverse levels of activity with respect to production of plant growth hormones (regulation of root growth and architecture), suppression of stress ethylene (increased tolerance to drought and salinity), production of siderophores and antibiotics (disease suppression), and solubilization of phosphorus. The application of transcriptome methods pioneered in our research will ultimately lead to better understanding of how management practices such as use of compost and soil inoculants can be used to improve plant yields, stress tolerance, and disease resistance. As we look to the future, the use of metagenomic techniques combined with quantitative methods including microarrays, and quantitative peR methods that target specific genes should allow us to better classify, monitor, and manage the plant rhizosphere to improve crop yields in agricultural ecosystems. In addition, expression of several genes in rhizospheres of both cucumber and whet roots were identified, including mostly housekeeping genes. Denitrification, chemotaxis and motility genes were preferentially expressed in wheat while in cucumber roots bacterial genes involved in catalase, a large set of polysaccharide degradation and assimilatory sulfate reduction genes were preferentially expressed.
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Zchori-Fein, Einat, Judith K. Brown, and Nurit Katzir. Biocomplexity and Selective modulation of whitefly symbiotic composition. United States Department of Agriculture, June 2006. http://dx.doi.org/10.32747/2006.7591733.bard.

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Whiteflies are sap-sucking insects that harbor obligatory symbiotic bacteria to fulfill their dietary needs, as well as a facultative microbial community with diverse bacterial species. The sweetpotato whitefly Bemisia tabaci (Gennadius) is a severe agricultural pest in many parts of the world. This speciesconsists of several biotypes that have been distinguished largely on the basis of biochemical or molecular diagnostics, but whose biological significance is still unclear. The original objectives of the project were (i) to identify the specific complement of prokaryotic endosymbionts associated with select, well-studied, biologically and phylogeographically representative biotypes of B. tabaci, and (ii) to attempt to 'cure’ select biotypes of certain symbionts to permit assessment of the affect of curing on whitefly fitness, gene flow, host plant preference, and virus transmission competency.To identify the diversity of bacterial community associated with a suite of phylogeographically-diverseB. tabaci, a total of 107 populations were screened using general Bacteria primers for the 16S rRNA encoding gene in a PCR. Sequence comparisons with the available databases revealed the presence of bacteria classified in the: Proteobacteria (66%), Firmicutes (25.70%), Actinobacteria (3.7%), Chlamydiae (2.75%) and Bacteroidetes (<1%). Among previously identified bacteria, such as the primary symbiont Portiera aleyrodidarum, and the secondary symbionts Hamiltonella, Cardinium and Wolbachia, a Rickettsia sp. was detected for the first time in this insect family. The distribution, transmission, and localization of the Rickettsia were studied using PCR and fluorescence in situ hybridization (FISH). Rickettsia was found in all 20 Israeli B. tabaci populations screened as well as some populations screened in the Arizona laboratory, but not in all individuals within each population. FISH analysis of B. tabaci eggs, nymphs and adults, revealed a unique concentration of Rickettsia around the gut and follicle cells as well as its random distribution in the haemolymph, but absence from the primary symbiont housing cells, the bacteriocytes. Rickettsia vertical transmission on the one hand and its partial within-population infection on the other suggest a phenotype that is advantageous under certain conditions but may be deleterious enough to prevent fixation under others.To test for the possible involvement of Wolbachia and Cardiniumin the reproductive isolation of different B. tabacibiotypes, reciprocal crosses were preformed among populations of the Cardinium-infected, Wolbachia-infected and uninfected populations. The crosses results demonstrated that phylogeographically divergent B. tabaci are reproductively competent and that cytoplasmic incompatibility inducer-bacteria (Wolbachia and Cardinium) both interfered with, and/or rescued CI induced by one another, effectively facilitating bidirectional female offspring production in the latter scenario.This knowledge has implications to multitrophic interactions, gene flow, speciation, fitness, natural enemy interactions, and possibly, host preference and virus transmission. Although extensive and creative attempts undertaken in both laboratories to cure whiteflies of non-primary symbionts have failed, our finding of naturally uninfected individuals have permitted the establishment of Rickettsia-, Wolbachia- and Cardinium-freeB. tabaci lines, which are been employed to address various biological questions, including determining the role of these bacteria in whitefly host biology.
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