Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data

ABSTRACT : Streptomyces coelicolor A3(2) is a model microorganism for the study of Streptomycetes, antibiotic production, and secondary metabolism in general. However, little effort to globally study its transcription has been made even though S. coelicolor has an outstanding variety of regulators a...

Full description

Autores:
Zorro Aranda, Dolly Andrea
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2022
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/28380
Acceso en línea:
http://hdl.handle.net/10495/28380
Palabra clave:
Streptomyces coelicolor
Redes reguladoras de genes
Gene Regulatory Networks
Redes
Inferencia
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.spa.fl_str_mv Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
title Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
spellingShingle Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
Streptomyces coelicolor
Redes reguladoras de genes
Gene Regulatory Networks
Redes
Inferencia
title_short Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
title_full Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
title_fullStr Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
title_full_unstemmed Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
title_sort Development and implementation of a methodology for the inference of a Streptomyces coelicolor gene regulatory network from genomic and transcriptomic data
dc.creator.fl_str_mv Zorro Aranda, Dolly Andrea
dc.contributor.advisor.none.fl_str_mv Freyre González, Julio Augusto
dc.contributor.author.none.fl_str_mv Zorro Aranda, Dolly Andrea
dc.contributor.researchgroup.spa.fl_str_mv Bioprocesos
dc.subject.decs.none.fl_str_mv Streptomyces coelicolor
Redes reguladoras de genes
Gene Regulatory Networks
topic Streptomyces coelicolor
Redes reguladoras de genes
Gene Regulatory Networks
Redes
Inferencia
dc.subject.proposal.spa.fl_str_mv Redes
Inferencia
description ABSTRACT : Streptomyces coelicolor A3(2) is a model microorganism for the study of Streptomycetes, antibiotic production, and secondary metabolism in general. However, little effort to globally study its transcription has been made even though S. coelicolor has an outstanding variety of regulators among bacteria. In this work, we aim to reconstruct a Gene Regulatory Network (GRN) for S. coelicolor. For this, we manually curated experimentally validated gene regulatory interactions from which we reconstruct a curated network. Next, based on this curation, we inferred a complete regulation network applying different mathematical methods from two different approaches. One approach was motif detection in DNA sequences and the other one was an inference from transcriptomic data. Further, we analyze the structural properties and functional architecture of both curated and inferred networks. And we compared them to assess the reliability of the predictions. From this analysis, we proposed the functional annotation and biological function for some genes of S. coelicolor. Moreover, we proposed the Natural Decomposition Approach as a methodology for the assessment of GRN inference. Finally, we present applications for the curated and inferred networks. The curated networks were deposited in the Abasy Atlas database while the inferences and additional information are available in the supplementary file.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-05-16T16:05:40Z
dc.date.available.none.fl_str_mv 2022-05-16T16:05:40Z
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Doctorado
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/28380
url http://hdl.handle.net/10495/28380
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.publisher.spa.fl_str_mv Universidad de Antioquia
dc.publisher.place.spa.fl_str_mv Medellín
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería. Doctorado en Ingeniería Química
institution Universidad de Antioquia
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spelling Freyre González, Julio AugustoZorro Aranda, Dolly AndreaBioprocesos2022-05-16T16:05:40Z2022-05-16T16:05:40Z2022http://hdl.handle.net/10495/28380ABSTRACT : Streptomyces coelicolor A3(2) is a model microorganism for the study of Streptomycetes, antibiotic production, and secondary metabolism in general. However, little effort to globally study its transcription has been made even though S. coelicolor has an outstanding variety of regulators among bacteria. In this work, we aim to reconstruct a Gene Regulatory Network (GRN) for S. coelicolor. For this, we manually curated experimentally validated gene regulatory interactions from which we reconstruct a curated network. Next, based on this curation, we inferred a complete regulation network applying different mathematical methods from two different approaches. One approach was motif detection in DNA sequences and the other one was an inference from transcriptomic data. Further, we analyze the structural properties and functional architecture of both curated and inferred networks. And we compared them to assess the reliability of the predictions. From this analysis, we proposed the functional annotation and biological function for some genes of S. coelicolor. Moreover, we proposed the Natural Decomposition Approach as a methodology for the assessment of GRN inference. Finally, we present applications for the curated and inferred networks. The curated networks were deposited in the Abasy Atlas database while the inferences and additional information are available in the supplementary file.DoctoradoDoctora en Ingeniería Química100application/pdfapplication/excelengUniversidad de AntioquiaMedellínFacultad de Ingeniería. 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