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Network Modules Driving Plant Stress Response, Tolerance and Adaptation: A case study using Abscisic acid Induced Protein-protein Interactome of Arabidopsis thaliana

Khader Shameer, Mahantesha Naika, Oommen K. Mathew, Ramanathan Sowdhamini
doi: https://doi.org/10.1101/073247
Khader Shameer
1National Centre for Biological Sciences (TIFR), GKVK Campus, Bellary Road, Bangalore 560 065, INDIA
2Present address: Icahn Institute of Genetics and Genomic Sciences, New York, NY 10065, USA
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Mahantesha Naika
1National Centre for Biological Sciences (TIFR), GKVK Campus, Bellary Road, Bangalore 560 065, INDIA
3Department of Plant Biotechnology, University of Agricultural Sciences, GKVK Campus, Bellary Road, Bangalore 560 065, INDIA
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Oommen K. Mathew
1National Centre for Biological Sciences (TIFR), GKVK Campus, Bellary Road, Bangalore 560 065, INDIA
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Ramanathan Sowdhamini
1National Centre for Biological Sciences (TIFR), GKVK Campus, Bellary Road, Bangalore 560 065, INDIA
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  • For correspondence: mini@ncbs.res.in
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Abstract

Understanding key protein-protein interaction network mediated by genes responsive to biotic and abiotic stress could help to understand the functional modules and network topologies driven genes responsive to stresses. It still remains to be an open question whether distinct protein-protein interaction networks have functional or regulatory role in mediating abiotic or biotic stress response in plants. To address this question we compiled abscisic acid responsive genes from Stress-responsive TranscrIption Factor DataBase (version 2; STIFDB2); derived protein-protein interaction network mediated by the genes from STRING database and performed biological network analyses using Cytoscape plugins. We have used Molecular Complex Detection algorithm for deriving highly connected module from the abscisic acid responsive network. Biological Network Gene Ontology tool was used to derive functional enrichment of abscisic acid responsive interaction network using GOSlim_Plants ontology. GraphletCounter was used to identify graph motifs in the network and NetworkAnalyzer was used to compute various network topological parameters. We found 26S proteasome subunits as a highly clustered module using Molecular Complex Detection algorithm. Enrichment analysis indicates that several biological processes terms including “flower development” are associated with the network. Results from this case study can be used to understand network properties of abiotic stress responsive genes and gene products in a model plant system.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted September 03, 2016.
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Network Modules Driving Plant Stress Response, Tolerance and Adaptation: A case study using Abscisic acid Induced Protein-protein Interactome of Arabidopsis thaliana
Khader Shameer, Mahantesha Naika, Oommen K. Mathew, Ramanathan Sowdhamini
bioRxiv 073247; doi: https://doi.org/10.1101/073247
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Network Modules Driving Plant Stress Response, Tolerance and Adaptation: A case study using Abscisic acid Induced Protein-protein Interactome of Arabidopsis thaliana
Khader Shameer, Mahantesha Naika, Oommen K. Mathew, Ramanathan Sowdhamini
bioRxiv 073247; doi: https://doi.org/10.1101/073247

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