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Published on: May 21, 2020
Transcriptome analysis of nitrogen-starvation-responsive genes in rice
Wenzhu Yang1,2,3, Jinmi Yoon4, Heebak Choi5
1Department of Plant Molecular Systems Biotechnology and Crop Biotech Institute, Kyung Hee University, Yongin, 446-701, Korea. wenzhuyang@khu.ac.kr.
Nitrogen (N) deficiency significantly alters gene expression in rice plants. RNA-sequencing identified 1,650 differentially expressed genes, providing insights into N-starvation responses and plant nutrient utilization.
Area of Science:
- Plant Biology
- Molecular Biology
- Agricultural Science
Background:
- Nitrogen (N) is a crucial macronutrient for plant growth, often limiting agricultural productivity.
- Previous studies used microarrays to examine gene expression under varying N concentrations.
- RNA-sequencing (RNA-Seq) offers higher precision for transcript analysis but hadn't been applied to N-starvation-induced genes.
Purpose of the Study:
- To investigate genome-wide gene expression in rice plants under N-deficient conditions using RNA-Seq.
- To identify novel N-starvation-responsive genes and analyze their regulation.
- To compare transcriptomic profiles in leaf sheaths and roots.
Main Methods:
- Constructed cDNA libraries from rice leaf sheaths and roots under N-deficient and -sufficient conditions.
- Performed RNA-Seq to analyze gene expression and identify differentially expressed transcripts.
- Validated findings using quantitative real-time PCR (qRT-PCR) and GUS assays.
Main Results:
- Identified 1,650 differentially expressed transcripts (fold-change ≥ 2) after 12 hours of N-deficiency.
- 1,158 transcripts were differentially expressed in leaf sheaths (548 up, 610 down) and 492 in roots (276 up, 216 down).
- Confirmed 34 out of 36 novel N-deficiency-induced genes identified by RNA-Seq using qRT-PCR. Identified 2,986 novel transcripts, with 192 regulated by N-deficiency.
Conclusions:
- Identified 1,650 N-starvation-responsive genes after 12 hours, with responses confirmed by RT-PCR and GUS assays.
- RNA-Seq successfully identified novel N-deficiency-induced genes and provided a comprehensive transcriptomic profile.
- The findings offer valuable data for understanding N-utilization signal transduction pathways in plants.
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