Literature DB >> 33846415

Topological clustering of regulatory genes confers pathogenic tolerance to cassava brown streak virus (CBSV) in cassava.

Thanakorn Jaemthaworn1, Saowalak Kalapanulak2,3, Treenut Saithong4,5.   

Abstract

Robustness, a naïve property of biological systems, enables organisms to maintain functions during perturbation and is crucial for improving the resilience of crops to prevailing stress conditions and diseases, guaranteeing food security. Most studies of robustness in crops have focused on genetic superiority based upon individual genes, overlooking the collaborative actions of multiple responsive genes and the regulatory network topology. This research aims to uncover patterns of gene cooperation leading to organismal robustness by studying the topology of gene co-expression networks (GCNs) of both CBSV virus resistant and susceptible cassava cultivars. The resulting GCNs show higher topological clustering of cooperative genes in the resistant cultivar, suggesting that the network architecture is central to attaining robustness. Despite a reduction in the number of hub genes in the resistant cultivar following the perturbation, essential biological functions contained in the network were maintained through neighboring genes that withstood the shock. The susceptible cultivar seemingly coped by inducing more gene actions in the network but could not maintain the functions required for plant growth. These findings underscore the importance of regulatory network architecture in ensuring phenotypic robustness and deepen our understanding of transcriptional regulation.

Entities:  

Year:  2021        PMID: 33846415     DOI: 10.1038/s41598-021-86806-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  32 in total

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Journal:  Nature       Date:  2001-05-03       Impact factor: 49.962

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Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

4.  Evidence for dynamically organized modularity in the yeast protein-protein interaction network.

Authors:  Jing-Dong J Han; Nicolas Bertin; Tong Hao; Debra S Goldberg; Gabriel F Berriz; Lan V Zhang; Denis Dupuy; Albertha J M Walhout; Michael E Cusick; Frederick P Roth; Marc Vidal
Journal:  Nature       Date:  2004-06-09       Impact factor: 49.962

5.  Dynamic-module redundancy confers robustness to the gene regulatory network involved in hair patterning of Arabidopsis epidermis.

Authors:  Mariana Benítez; Elena R Alvarez-Buylla
Journal:  Biosystems       Date:  2010-07-22       Impact factor: 1.973

Review 6.  Biological robustness.

Authors:  Hiroaki Kitano
Journal:  Nat Rev Genet       Date:  2004-11       Impact factor: 53.242

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Authors:  Linda Løvdok; Markus Kollmann; Victor Sourjik
Journal:  J Biotechnol       Date:  2007-02-08       Impact factor: 3.307

8.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

9.  Gene co-expression analysis for functional classification and gene-disease predictions.

Authors:  Sipko van Dam; Urmo Võsa; Adriaan van der Graaf; Lude Franke; João Pedro de Magalhães
Journal:  Brief Bioinform       Date:  2018-07-20       Impact factor: 11.622

10.  Identification of a topological characteristic responsible for the biological robustness of regulatory networks.

Authors:  Yangle Wu; Xiaomeng Zhang; Jianglei Yu; Qi Ouyang
Journal:  PLoS Comput Biol       Date:  2009-07-24       Impact factor: 4.475

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  1 in total

1.  Epistemic Communities under Active Inference.

Authors:  Mahault Albarracin; Daphne Demekas; Maxwell J D Ramstead; Conor Heins
Journal:  Entropy (Basel)       Date:  2022-03-29       Impact factor: 2.738

  1 in total

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