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Exploring regulatory networks in plants: transcription factors of starch metabolism
Biological networks are complex (non-linear), redundant (cyclic) and compartmentalized at the subcellular level. Rational manipulation of plant metabolism may have failed due to inherent difficulties of a comprehensive understanding of regulatory loops. We first need to identify key factors controll...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625501/ https://www.ncbi.nlm.nih.gov/pubmed/31328026 http://dx.doi.org/10.7717/peerj.6841 |
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author | López-González, Cristal Juárez-Colunga, Sheila Morales-Elías, Norma Cecilia Tiessen, Axel |
author_facet | López-González, Cristal Juárez-Colunga, Sheila Morales-Elías, Norma Cecilia Tiessen, Axel |
author_sort | López-González, Cristal |
collection | PubMed |
description | Biological networks are complex (non-linear), redundant (cyclic) and compartmentalized at the subcellular level. Rational manipulation of plant metabolism may have failed due to inherent difficulties of a comprehensive understanding of regulatory loops. We first need to identify key factors controlling the regulatory loops of primary metabolism. The paradigms of plant networks are revised in order to highlight the differences between metabolic and transcriptional networks. Comparison between animal and plant transcription factors (TFs) reveal some important differences. Plant transcriptional networks function at a lower hierarchy compared to animal regulatory networks. Plant genomes contain more TFs than animal genomes, but plant proteins are smaller and have less domains as animal proteins which are often multifunctional. We briefly summarize mutant analysis and co-expression results pinpointing some TFs regulating starch enzymes in plants. Detailed information is provided about biochemical reactions, TFs and cis regulatory motifs involved in sucrose-starch metabolism, in both source and sink tissues. Examples about coordinated responses to hormones and environmental cues in different tissues and species are listed. Further advancements require combined data from single-cell transcriptomic and metabolomic approaches. Cell fractionation and subcellular inspection may provide valuable insights. We propose that shuffling of promoter elements might be a promising strategy to improve in the near future starch content, crop yield or food quality. |
format | Online Article Text |
id | pubmed-6625501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66255012019-07-19 Exploring regulatory networks in plants: transcription factors of starch metabolism López-González, Cristal Juárez-Colunga, Sheila Morales-Elías, Norma Cecilia Tiessen, Axel PeerJ Agricultural Science Biological networks are complex (non-linear), redundant (cyclic) and compartmentalized at the subcellular level. Rational manipulation of plant metabolism may have failed due to inherent difficulties of a comprehensive understanding of regulatory loops. We first need to identify key factors controlling the regulatory loops of primary metabolism. The paradigms of plant networks are revised in order to highlight the differences between metabolic and transcriptional networks. Comparison between animal and plant transcription factors (TFs) reveal some important differences. Plant transcriptional networks function at a lower hierarchy compared to animal regulatory networks. Plant genomes contain more TFs than animal genomes, but plant proteins are smaller and have less domains as animal proteins which are often multifunctional. We briefly summarize mutant analysis and co-expression results pinpointing some TFs regulating starch enzymes in plants. Detailed information is provided about biochemical reactions, TFs and cis regulatory motifs involved in sucrose-starch metabolism, in both source and sink tissues. Examples about coordinated responses to hormones and environmental cues in different tissues and species are listed. Further advancements require combined data from single-cell transcriptomic and metabolomic approaches. Cell fractionation and subcellular inspection may provide valuable insights. We propose that shuffling of promoter elements might be a promising strategy to improve in the near future starch content, crop yield or food quality. PeerJ Inc. 2019-07-09 /pmc/articles/PMC6625501/ /pubmed/31328026 http://dx.doi.org/10.7717/peerj.6841 Text en © 2019 López-González et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Agricultural Science López-González, Cristal Juárez-Colunga, Sheila Morales-Elías, Norma Cecilia Tiessen, Axel Exploring regulatory networks in plants: transcription factors of starch metabolism |
title | Exploring regulatory networks in plants: transcription factors of starch metabolism |
title_full | Exploring regulatory networks in plants: transcription factors of starch metabolism |
title_fullStr | Exploring regulatory networks in plants: transcription factors of starch metabolism |
title_full_unstemmed | Exploring regulatory networks in plants: transcription factors of starch metabolism |
title_short | Exploring regulatory networks in plants: transcription factors of starch metabolism |
title_sort | exploring regulatory networks in plants: transcription factors of starch metabolism |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6625501/ https://www.ncbi.nlm.nih.gov/pubmed/31328026 http://dx.doi.org/10.7717/peerj.6841 |
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