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Water-deficit-induced changes in transcription factor expression in maize seedlings
Candace M Seeve1,2, In-Jeong Cho1, Leonard B Hearne3
1Plant Genetics Research Unit, USDA-ARS, Columbia, MO, 65211, USA.
Plant, Cell & Environment
|January 1, 2017
Summary
Maize plants adjust to drought by altering transcription factor (TF) gene expression in roots and shoots. These TF changes, particularly in root tips, are crucial for managing water deficit and guiding growth responses.
Area of Science:
- Plant Biology
- Molecular Biology
- Genetics
Background:
- Plants adapt to water deficits by regulating gene networks that control growth and development.
- Transcription factors (TFs) are critical regulators of these gene networks, enabling plants to respond to environmental stress.
Purpose of the Study:
- To investigate the role of transcription factors in maize's response to water deficit.
- To identify specific TF genes and their expression patterns in response to varying water potentials.
Main Methods:
- Utilized reverse transcription quantitative PCR (RT-qPCR) to analyze the abundance of 618 transcripts from 536 TF genes.
- Examined TF gene expression in root and shoot tissues of maize seedlings under well-watered and water-deficit conditions.
- Applied a linear mixed model to identify differentially regulated TF transcripts and hierarchical clustering to group TF expression patterns.
Main Results:
- Identified 433 TF transcripts (392 genes) with significant abundance changes under water deficit.
- Observed extensive differential regulation of TFs across stressed maize seedling tissues, particularly in primary root tips.
- Validated findings by confirming similar TF transcript abundance changes in drought-stressed field-grown maize.
Conclusions:
- Maize seedling responses to water deficit involve significant alterations in TF gene expression, especially in root tissues.
- Specific TFs identified in root tips likely play a role in regulating root growth and signaling pathways (e.g., abscisic acid, auxin) during drought.
- The maize seedling system effectively models TF responses to drought observed in field conditions.
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