Literature DB >> 32081259

Can metabolic tightening and expansion of co-expression network play a role in stress response and tolerance?

Aaron Fait1, Albert Batushansky2, Vivek Shrestha3, Abou Yobi4, Ruthie Angelovici5.   

Abstract

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).
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drought stress; Gene co-expression network; Graph theory properties; Heat stress

Year:  2020        PMID: 32081259     DOI: 10.1016/j.plantsci.2020.110409

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  2 in total

1.  High-Resolution Magic Angle Spinning (HR-MAS) NMR-Based Fingerprints Determination in the Medicinal Plant Berberis laurina.

Authors:  Sher Ali; Gul Badshah; Caroline Da Ros Montes D'Oca; Francinete Ramos Campos; Noemi Nagata; Ajmir Khan; Maria de Fátima Costa Santos; Andersson Barison
Journal:  Molecules       Date:  2020-08-11       Impact factor: 4.411

2.  Environment-driven shifts in interindividual variation and phenotypic integration within subnetworks of the mussel transcriptome and proteome.

Authors:  Richelle L Tanner; Lani U Gleason; W Wesley Dowd
Journal:  Mol Ecol       Date:  2022-04-11       Impact factor: 6.622

  2 in total

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