期刊
PLANT JOURNAL
卷 106, 期 4, 页码 1177-1190出版社
WILEY
DOI: 10.1111/tpj.15226
关键词
diversity; drought stress; field transcriptomes; rice; root system architecture; transcription factor
资金
- JST CREST, Japan [JPMJCR17O1]
- JSPS KAKENHI [17H03753]
- Grants-in-Aid for Scientific Research [17H03753] Funding Source: KAKEN
The study uncovered the close relationship between root system architecture and drought resistance in rice, identifying distinct stress response mechanisms among different subpopulations based on phenotypic and transcriptomic analysis. It also revealed that crown root diameter is associated with resistance to mild drought stress.
Root system architecture affects plant drought resistance and other key agronomic traits such as lodging. However, although phenotypic and genomic variation has been extensively analyzed, few field studies have integrated phenotypic and transcriptomic information, particularly for below-ground traits such as root system architecture. Here, we report the phenotypic and transcriptomic landscape of 61 rice (Oryza sativa) accessions with highly diverse below-ground traits grown in an upland field. We found that four principal components explained the phenotypic variation and that accessions could be classified into four subpopulations (indica, aus, japonica and admixed) based on their tiller numbers and crown root diameters. Transcriptome analysis revealed that differentially expressed genes associated with specific subpopulations were enriched with stress response-related genes, suggesting that subpopulations have distinct stress response mechanisms. Root growth was negatively correlated with auxin-inducible genes, suggesting an association between auxin signaling and upland field conditions. A negative correlation between crown root diameter and stress response-related genes suggested that thicker crown root diameter is associated with resistance to mild drought stress. Finally, co-expression network analysis implemented with DNA affinity purification followed by sequencing analysis identified phytohormone signaling networks and key transcription factors negatively regulating crown root diameter. Our datasets provide a useful resource for understanding the genomic and transcriptomic basis of phenotypic variation under upland field conditions.
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