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From genes to microbial consortia: multi-level bioprospecting of natural and artificial environments

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From genes to microbial consortia: multi-level bioprospecting of natural and artificial environments

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dc.contributor.advisor Latorre Castillo, Amparo
dc.contributor.advisor Porcar, Manuel
dc.contributor.author Vilanova Serrador, Cristina
dc.contributor.other Departament de Bioquímica i Biologia Molecular es_ES
dc.date.accessioned 2017-01-10T07:45:00Z
dc.date.available 2017-01-11T05:45:05Z
dc.date.issued 2017 es_ES
dc.date.submitted 13-01-2017 es_ES
dc.identifier.uri http://hdl.handle.net/10550/56697
dc.description.abstract Microbial bioprospecting is the identification of microorganisms, genes, enzymes, and/or metabolic pathways with biotechnological applications in industry or in research itself. This thesis aimed at bioprospecting a range of unexplored, natural and artificial environments subjected to harsh physicochemical conditions by applying a multi-level strategy. The microbial communities were analyzed in a first step by means of metagenomic sequencing, which yielded an extensive catalog of the microbial species and/or genes occurring in the community, and allowed the ecological contextualization of new habitats. Culturing in artificial media was used as a complementary approach in order to isolate, select, and characterize microbial strains of particular relevance. Last, a bioinformatics algorithm was developed in order to visualize community assemblage based on the predicted associations and interactions shaping microbial consortia in environmental samples. As a result of our analysis, a range of individual microbial strains, genes and microbial consortia with potential biotechnological applications have been identified. Moreover, we propose a new, holistic approach for the efficient mining and analysis of environmental microbiomes. es_ES
dc.format.extent 165 p. es_ES
dc.language.iso en es_ES
dc.subject Bioprospecting es_ES
dc.subject Microbiology es_ES
dc.subject Biotechnology es_ES
dc.title From genes to microbial consortia: multi-level bioprospecting of natural and artificial environments es_ES
dc.type doctoral thesis es_ES
dc.embargo.terms 0 days es_ES

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