| Literature DB >> 27655842 |
Olivia Wilkins1, Christoph Hafemeister1, Anne Plessis1, Meisha-Marika Holloway-Phillips2, Gina M Pham1, Adrienne B Nicotra2, Glenn B Gregorio3, S V Krishna Jagadish3, Endang M Septiningsih3, Richard Bonneau4,5, Michael Purugganan4.
Abstract
Environmental gene regulatory influence networks (EGRINs) coordinate the timing and rate of gene expression in response to environmental signals. EGRINs encompass many layers of regulation, which culminate in changes in accumulated transcript levels. Here, we inferred EGRINs for the response of five tropical Asian rice (Oryza sativa) cultivars to high temperatures, water deficit, and agricultural field conditions by systematically integrating time-series transcriptome data, patterns of nucleosome-free chromatin, and the occurrence of known cis-regulatory elements. First, we identified 5447 putative target genes for 445 transcription factors (TFs) by connecting TFs with genes harboring known cis-regulatory motifs in nucleosome-free regions proximal to their transcriptional start sites. We then used network component analysis to estimate the regulatory activity for each TF based on the expression of its putative target genes. Finally, we inferred an EGRIN using the estimated transcription factor activity (TFA) as the regulator. The EGRINs include regulatory interactions between 4052 target genes regulated by 113 TFs. We resolved distinct regulatory roles for members of the heat shock factor family, including a putative regulatory connection between abiotic stress and the circadian clock. TFA estimation using network component analysis is an effective way of incorporating multiple genome-scale measurements into network inference.Entities:
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Year: 2016 PMID: 27655842 PMCID: PMC5134975 DOI: 10.1105/tpc.16.00158
Source DB: PubMed Journal: Plant Cell ISSN: 1040-4651 Impact factor: 11.277