Análisis in silico de la dinámica de comunidades microbianas frente a perturbaciones usando modelos metabólicos

Carrasco Muriel, Jorge (2019). Análisis in silico de la dinámica de comunidades microbianas frente a perturbaciones usando modelos metabólicos. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM), Madrid.

Description

Title: Análisis in silico de la dinámica de comunidades microbianas frente a perturbaciones usando modelos metabólicos
Author/s:
  • Carrasco Muriel, Jorge
Contributor/s:
  • García Jiménez, Beatriz
  • Wilkinson, Mark D.
Item Type: Final Project
Degree: Grado en Biotecnología
Date: July 2019
Subjects:
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Biotecnología - Biología Vegetal
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Interest on microbial communities have grown in recent years due to their impact on human health, agricultural productivity, environmental bioremediation and industrial processes. Thanks to the advances in metagenomics, the understanding of the interactions and dynamics of these communities are increasing. Hence, data-driven approaches are applied to enable interpretation of metagenomics data, although the lack of metadata collection often hampers this kind of approaches. This work describes MMODES, an in silico approach, that was developed to simulate dynamics in multi-strain microbial communities influenced by perturbations, based on metabolic modeling and ordinary differential equations. In addition, it was combined with the existent microbiome data-driven framework MDPbiome. The whole workflow, called MDPbiomeGEM, was applied to suggest the best actions to move the microbial community to a better state in two particular cases of study: a human gut simplified microbiome, modeling how to recover from Crohn’s disease; and a soil microbiome where to improve the degradation of atrazine, a high-impact environmental herbicide.

More information

Item ID: 57465
DC Identifier: http://oa.upm.es/57465/
OAI Identifier: oai:oa.upm.es:57465
Deposited by: Biblioteca ETSI Agrónomos
Deposited on: 10 Dec 2019 14:01
Last Modified: 10 Dec 2019 14:01
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