alexa Integration of Brassinosteroid Signal Transduction with the Transcription Network for Fiber Development and Drought Stress in Gossypium hirsutum L
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Research Article

Integration of Brassinosteroid Signal Transduction with the Transcription Network for Fiber Development and Drought Stress in Gossypium hirsutum L

Deepti Nigam*

Plant Molecular Biology and Genetic Engineering Laboratory, National Botanical Research Institute, Rana Pratap Marg, Lucknow, India

*Corresponding Author:
Deepti Nigam
Plant Molecular Biology and Genetic Engineering Laboratory
National Botanical Research Institute
Rana Pratap Marg, Lucknow, India
Tel: +915222297914
E-mail: [email protected]

Received Date: March 29, 2014; Accepted Date: April 16, 2014; Published Date: April 19, 2014

Citation: Nigam D (2014) Integration of Brassinosteroid Signal Transduction with the Transcription Network for Fiber Development and Drought Stress in Gossypium hirsutum L. J Comput Sci Syst Biol 7:108-114. doi: 10.4172/jcsb.1000145

Copyright: © 2014 Nigam D. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Brassinosteroids (BRs) are a family of steroid hormones present ubiquitously in plant kingdoms and regulate wide range of physiological and developmental processes. BRs signal to regulate brassinosteroid transcription factors (BRTF’s), which regulate target genes for various BR responses. However, the role of BRs in developing fiber and during drought stress which is major limiting factor in its development is still limited. Our in silico modelling using Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) reveals that BRTF’s form a gene regulatory network (GRN) during cotton fiber development. Hierarchical clustering highlighted gene expression during acute dehydration response from early, peak and late elongation stage. SEA (Singular Enrichment Analysis) based gene ontology analysis demonstrate synergistic effect of BRs with other hormones like auxin. Our results provide a strong footprint of BRs based gene regulation in cotton fiber growth and drought stress.

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