Publication: The G-box transcriptional regulatory code in arabidopsis
1
Issued Date
2017-10-01
Resource Type
ISSN
15322548
00320889
00320889
Other identifier(s)
2-s2.0-85030835199
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Plant Physiology. Vol.175, No.2 (2017), 628-640
Suggested Citation
Daphne Ezer, Samuel J.K. Shepherd, Anna Brestovitsky, Patrick Dickinson, Sandra Cortijo, Varodom Charoensawan, Mathew S. Box, Surojit Biswas, Katja E. Jaeger, Philip A. Wigge The G-box transcriptional regulatory code in arabidopsis. Plant Physiology. Vol.175, No.2 (2017), 628-640. doi:10.1104/pp.17.01086 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/41330
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
The G-box transcriptional regulatory code in arabidopsis
Other Contributor(s)
Abstract
© 2017 American Society of Plant Biologists. All Rights Reserved. Plants have significantly more transcription factor (TF) families than animals and fungi, and plant TF families tend to contain more genes; these expansions are linked to adaptation to environmental stressors. Many TF family members bind to similar or identical sequence motifs, such as G-boxes (CACGTG), so it is difficult to predict regulatory relationships. We determined that the flanking sequences near G-boxes help determine in vitro specificity but that this is insufficient to predict the transcription pattern of genes near G-boxes. Therefore, we constructed a gene regulatory network that identifies the set of bZIPs and bHLHs that are most predictive of the expression of genes downstream of perfect G-boxes. This network accurately predicts transcriptional patterns and reconstructs known regulatory subnetworks. Finally, we present Ara-BOX-cis (araboxcis.org), a Web site that provides interactive visualizations of the G-box regulatory network, a useful resource for generating predictions for gene regulatory relations.