Literature DB >> 27871810

A Maize Gene Regulatory Network for Phenolic Metabolism.

Fan Yang1, Wei Li2, Nan Jiang1, Haidong Yu1, Kengo Morohashi1, Wilberforce Zachary Ouma3, Daniel E Morales-Mantilla4, Fabio Andres Gomez-Cano1, Eric Mukundi1, Luis Daniel Prada-Salcedo2, Roberto Alers Velazquez4, Jasmin Valentin4, Maria Katherine Mejía-Guerra1, John Gray5, Andrea I Doseff2, Erich Grotewold6.   

Abstract

The translation of the genotype into phenotype, represented for example by the expression of genes encoding enzymes required for the biosynthesis of phytochemicals that are important for interaction of plants with the environment, is largely carried out by transcription factors (TFs) that recognize specific cis-regulatory elements in the genes that they control. TFs and their target genes are organized in gene regulatory networks (GRNs), and thus uncovering GRN architecture presents an important biological challenge necessary to explain gene regulation. Linking TFs to the genes they control, central to understanding GRNs, can be carried out using gene- or TF-centered approaches. In this study, we employed a gene-centered approach utilizing the yeast one-hybrid assay to generate a network of protein-DNA interactions that participate in the transcriptional control of genes involved in the biosynthesis of maize phenolic compounds including general phenylpropanoids, lignins, and flavonoids. We identified 1100 protein-DNA interactions involving 54 phenolic gene promoters and 568 TFs. A set of 11 TFs recognized 10 or more promoters, suggesting a role in coordinating pathway gene expression. The integration of the gene-centered network with information derived from TF-centered approaches provides a foundation for a phenolics GRN characterized by interlaced feed-forward loops that link developmental regulators with biosynthetic genes.
Copyright © 2016 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  chromatin immunoprecipitation; flavonoid; phenylpropanoid; yeast one-hybrid

Mesh:

Substances:

Year:  2016        PMID: 27871810     DOI: 10.1016/j.molp.2016.10.020

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


  16 in total

1.  Computational Metabolomics Tools Reveal Metabolic Reconfigurations Underlying the Effects of Biostimulant Seaweed Extracts on Maize Plants under Drought Stress Conditions.

Authors:  Morena M Tinte; Keabetswe Masike; Paul A Steenkamp; Johan Huyser; Justin J J van der Hooft; Fidele Tugizimana
Journal:  Metabolites       Date:  2022-05-27

2.  Genetic, transcriptional, and regulatory landscape of monolignol biosynthesis pathway in Miscanthus × giganteus.

Authors:  Xiaofei Zeng; Jiajing Sheng; Fenglin Zhu; Tianzi Wei; Lingling Zhao; Xiaohu Hu; Xingfei Zheng; Fasong Zhou; Zhongli Hu; Ying Diao; Surong Jin
Journal:  Biotechnol Biofuels       Date:  2020-10-27       Impact factor: 6.040

3.  Meta Gene Regulatory Networks in Maize Highlight Functionally Relevant Regulatory Interactions.

Authors:  Peng Zhou; Zhi Li; Erika Magnusson; Fabio Gomez Cano; Peter A Crisp; Jaclyn M Noshay; Erich Grotewold; Candice N Hirsch; Steven P Briggs; Nathan M Springer
Journal:  Plant Cell       Date:  2020-03-17       Impact factor: 11.277

4.  Distinct tissue-specific transcriptional regulation revealed by gene regulatory networks in maize.

Authors:  Ji Huang; Juefei Zheng; Hui Yuan; Karen McGinnis
Journal:  BMC Plant Biol       Date:  2018-06-07       Impact factor: 4.215

5.  A novel synthetic-genetic-array-based yeast one-hybrid system for high discovery rate and short processing time.

Authors:  Chung-Shu Yeh; Zhifeng Wang; Fang Miao; Hongyan Ma; Chung-Ting Kao; Tzu-Shu Hsu; Jhong-He Yu; Er-Tsi Hung; Chia-Chang Lin; Chen-Yu Kuan; Ni-Chiao Tsai; Chenguang Zhou; Guan-Zheng Qu; Jing Jiang; Guifeng Liu; Jack P Wang; Wei Li; Vincent L Chiang; Tien-Hsien Chang; Ying-Chung Jimmy Lin
Journal:  Genome Res       Date:  2019-06-11       Impact factor: 9.043

6.  Analysis of the transcriptomic, metabolomic, and gene regulatory responses to Puccinia sorghi in maize.

Authors:  Saet-Byul Kim; Lisa Van den Broeck; Shailesh Karre; Hoseong Choi; Shawn A Christensen; Guan-Feng Wang; Yeonhwa Jo; Won Kyong Cho; Peter Balint-Kurti
Journal:  Mol Plant Pathol       Date:  2021-02-28       Impact factor: 5.663

7.  A temporal hierarchy underpins the transcription factor-DNA interactome of the maize UPR.

Authors:  Dae Kwan Ko; Federica Brandizzi
Journal:  Plant J       Date:  2020-11-15       Impact factor: 6.417

Review 8.  Network-based approaches for understanding gene regulation and function in plants.

Authors:  Dae Kwan Ko; Federica Brandizzi
Journal:  Plant J       Date:  2020-08-28       Impact factor: 6.417

Review 9.  Metabolomics as an Emerging Tool for the Study of Plant-Pathogen Interactions.

Authors:  Fernanda R Castro-Moretti; Irene N Gentzel; David Mackey; Ana P Alonso
Journal:  Metabolites       Date:  2020-01-29

10.  Hierarchical and Dynamic Regulation of Defense-Responsive Specialized Metabolism by WRKY and MYB Transcription Factors.

Authors:  Brenden Barco; Nicole K Clay
Journal:  Front Plant Sci       Date:  2020-01-31       Impact factor: 5.753

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