Can metabolic tightening and expansion of co-expression network play a role in stress response and tolerance?
Copyright © 2020 Elsevier B.V. All rights reserved.
| Publié dans: | Plant science : an international journal of experimental plant biology. - 1985. - 293(2020) vom: 15. Apr., Seite 110409 |
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| Auteur principal: | |
| Autres auteurs: | , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2020
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| Accès à la collection: | Plant science : an international journal of experimental plant biology |
| Sujets: | Journal Article Review Drought stress Gene co-expression network Graph theory properties Heat stress |
| Résumé: | Copyright © 2020 Elsevier B.V. All rights reserved. Plants respond and adapt to changes in their environment by employing a wide variety of genetic, molecular, and biochemical mechanisms. When so doing, they trigger large-scale rearrangements at the metabolic and transcriptional levels. The dynamics and patterns of these rearrangements and how they govern a stress response is not clear. In this opinion, we discuss a plant's response to stress from the perspective of the metabolic gene co-expression network and its rearrangement upon stress. As a case study, we use publicly available expression data of Arabidopsis thaliana plants exposed to heat and drought stress to evaluate and compare the co-expression networks of metabolic genes. The analysis highlights that stress conditions can lead to metabolic tightening and expansion of the co-expression network. We argue that this rearrangement could play a role in a plant's response to stress and thus may be an additional tool to assess and understand stress tolerance/sensitivity. Additional studies are needed to evaluate the metabolic network in response to multiple stresses at various intensities and across different genetic backgrounds (e.g., intra- and inter-species, sensitive and tolerant eco/genotypes) |
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| Description: | Date Completed 26.10.2020 Date Revised 26.10.2020 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1873-2259 |
| DOI: | 10.1016/j.plantsci.2020.110409 |