Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/146490
Title: Anàlisi computacional de la microbiota intestinal i el comportament motor del nematode Caenorhabditis elegans
Author: Alegret Olivé, Eric
Tutor: Torres Moral, Teresa  
Others: Perez-Navarro, Antoni  
Abstract: The nematode Caenorhabditis elegans is currently considered an effective model for experimental and biomedical research since it has fast development, short generation times and a high genetic and molecular homology with humans. However, some aspects of its fundamental biology, as its movement patterns and the composition of its intestinal microbiota, have not been clearly elucidated yet. Therefore, this project aims to study C. elegans from these two clearly differentiated perspectives. On the one hand, a useful reproducible code that combines GNU-Bash and R languages has been developed to carry out a meta-analysis with eight publicly available sequence datasets, in order to describe the enteric microbiota of some members of the Caenorhabditis genus. On the other hand, an appropriate R bioinformatic pipeline has been adapted and optimized for the characterization of the locomotor patterns of C. elegans N2 and CB4856 strains. The results obtained from the first methodological part have made it possible to contrast the characteristic intestinal community of different nematode species, showing a clear influence of the growth environment of worms on the composition of their microbiota. On the second one, the motor behaviour of C. elegansseems to be established according to a mixed probability distribution that includes the two main types of motion: rectilinear crawling and reorientation. The possibility of characterizing these two relevant aspects in the biology of the nematode is the basis for future studies in which a possible interconnection between the intestinal microbiota and the movement of C. elegans could be inferred.
Keywords: gut microbiota
caenorhabditis elegans
movement ecology
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 2-Jun-2022
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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