Estudio computacional de una comunidad microbiana capaz de degradar un herbicida en distintos ambientes

Solera Sánchez, Javier (2020). Estudio computacional de una comunidad microbiana capaz de degradar un herbicida en distintos ambientes. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM), Madrid.

Description

Title: Estudio computacional de una comunidad microbiana capaz de degradar un herbicida en distintos ambientes
Author/s:
  • Solera Sánchez, Javier
Contributor/s:
  • García Jiménez, Beatriz
  • Wilkinson, Mark D.
Item Type: Final Project
Degree: Grado en Biotecnología
Date: September 2020
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

The microbiome has been extensively studied in recent years due to the impact it has on human health and agriculture, among other areas. This work is focused on a microbial community capable of degrading atrazine, an herbicide that has contaminated most soils mainly in the United States, being related to several diseases in humans. This community has been studied in-silico with the MDPbiomeGEM system with the aim of analysing which external factor influence on the degradation process. The microbial composition of different soil medium is also studied in this work. Our results suggest different individualized treatments to each type of soil to shift the microbial community to a better state where the atrazine degradation is higher. Moreover, this work confirms the relation between phosphate and atrazine degradation. A microbial community profile common to all studied mediums has been characterized, related to the maximized ratio of herbicide degradation. Finally, a study has been performed to indicate the most used metabolites by the atrazine degrader microbial community.

More information

Item ID: 65970
DC Identifier: http://oa.upm.es/65970/
OAI Identifier: oai:oa.upm.es:65970
Deposited by: Biblioteca ETSI Agrónomos
Deposited on: 02 Feb 2021 10:42
Last Modified: 02 Feb 2021 10:42
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