Jijun Li

Mr. Jijun Li

National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2021 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
TXTianjin Xie
Tianjin Xie
JLJijun Li
Jijun Li
CYChenghai Yang
Chenghai Yang
ZJZhao Jiang
Zhao Jiang
YCYahui Chen
Yahui Chen
JZJian Zhang
Jian Zhang

3 April 2021 in Plants
Verified
Journal Article
Open access
PDF file
JLJijun Li
Jijun Li
SISidra Iqbal
Sidra Iqbal
YZYuting Zhang
Yuting Zhang
YCYahui Chen
Yahui Chen
ZTZengdong Tan
Zengdong Tan
LGLiang Guo
Liang Guo
Flooding results in significant crop yield losses due to exposure of plants to hypoxic stress. Various studies have reported the effect of flooding stress at seedling establishment or later stages. However, the molecular mechanism prevailing at the germination stage under flooding stress remains enigmatic. The present study highlights the comparative transcriptome analysis in two rapeseed lines, i.e., flooding-tolerant (Santana) and -sensitive (23651) lines under control and 6-h flooding treatments at the germination stage. A total of 1840 up-regulated and 1301 down-regulated genes were shared by both lines in response to flooding. There were 4410 differentially expressed genes (DEGs) with increased expression and 4271 DEGs with reduced expression shared in both control and flooding conditions. Gene ontology (GO) enrichment analysis revealed that “transcription regulation”, “structural constituent of cell wall”, “reactive oxygen species metabolic”, “peroxidase”, oxidoreductase”, and “antioxidant activity” were the common processes in rapeseed flooding response. In addition, the processes such as “hormone-mediated signaling pathway”, “response to organic substance response”, “motor activity”, and “microtubule-based process” are likely to confer rapeseed flooding resistance. Mclust analysis clustered DEGs into nine modules; genes in each module shared similar expression patterns and many of these genes overlapped with the top 20 DEGs in some groups. This work provides a comprehensive insight into gene responses and the regulatory network in rapeseed flooding stress and provides guidelines for probing the underlying molecular mechanisms in flooding resistance.