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Integrative network analyses of wilt transcriptome in chickpea reveal genotype dependent regulatory hubs in immunity and susceptibility

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Title Integrative network analyses of wilt transcriptome in chickpea reveal genotype dependent regulatory hubs in immunity and susceptibility
 
Creator Ashraf, Nasheeman
Basu, Swaraj
Narula, Kanika
Ghosh, Sudip
Tayal, Rajul
Gangisetty, Nagaraju
Biswas, Sushmita
Aggarwal, Pooja R.
Chakraborty, Niranjan
Chakraborty, Subhra
 
Subject Biotic
Plant immunity
Regulatory networks
Transcriptomics
chickpea
wilt transcriptome
 
Description Accepted date: 05 January 2018
Host specific resistance and non-host resistance are two plant immune responses to counter pathogen invasion. Gene network organizing principles leading to quantitative differences in resistant and susceptible host during host specific resistance are poorly understood. Vascular wilt caused by root pathogen Fusarium species is complex and governed by host specific resistance in crop plants, including chickpea. Here, we temporally profiled two contrasting chickpea genotypes in disease and immune state to better understand gene expression switches in host specific resistance. Integrative gene-regulatory network elucidated tangible insight into interaction coordinators leading to pathway determination governing distinct (disease or immune) phenotypes. Global network analysis identified five major hubs with 389 co-regulated genes. Functional enrichment revealed immunome containing three subnetworks involving CTI, PTI and ETI and wilt diseasome encompassing four subnetworks highlighting pathogen perception, penetration, colonization and disease establishment. These subnetworks likely represent key components that coordinate various biological processes favouring defence or disease. Furthermore, we identified core 76 disease/immunity related genes through subcellular analysis. Our regularized network with robust statistical assessment captured known and unexpected gene interaction, candidate novel regulators as future biomarkers and first time showed system-wide quantitative architecture corresponding to genotypic characteristics in wilt landscape.
Tis work was supported by grants from the Department of Biotechnology (DBT) (BT/PR8472/AGR/02/389/2006
and BT/PR8467/AGR/02/387/06). Government of India and the National Institute of Plant Genome Research,
New Delhi, India to S.C. N.A., G.N. and P.A. are the recipient of pre-doctoral fellowship from the Council of
Scientifc and Industrial research (CSIR), Govt. of India. K.N. is the recipient of post-doctoral fellowship from the
Department of Biotechnology (DBT), Govt. of India. Authors also thank Mr. Jasbeer Singh for illustrations and
graphical representations in the manuscript.
 
Date 2018-05-04T11:01:45Z
2018-05-04T11:01:45Z
2018
 
Type Article
 
Identifier Scientific Reports, 8(1): 6528
2045-2322
http://223.31.159.10:8080/jspui/handle/123456789/854
https://www.nature.com/articles/s41598-018-19919-5
10.1038/s41598-018-19919-5
 
Language en_US
 
Format application/pdf
 
Publisher Springer Nature