The transcriptomic landscapes of diverse rice cultivars grown under mild drought conditions
Kawakatsu, T.; Teramoto, S.; Takayasu, S.; Maruyama, N.; Nishijima, R.; Kitomi, Y.; Uga, Y.
Show abstract
Root system architecture affects plant drought tolerance 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, especially 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 under mild drought stress. We found that four principal components explained the phenotypic variation and that accessions could be classified into four admixture groups (admixed, aus, indica, and japonica) based on their tiller numbers and crown root diameters. Transcriptome analysis revealed that differentially expressed genes associated with specific admixture groups were enriched with stress response-related genes, suggesting that admixture groups have distinct stress response mechanisms. Root growth was negatively correlated with auxin-inducible genes, suggesting an association between auxin signaling and mild drought stress. 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 (DAP-seq) 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 mild drought stress. ONE-SENTENCE SUMMARYCatalog of the phenomes and transcriptomes of rice cultivars grown in upland fields provides a resource for further studies toward breeding climate-resilient crops.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rice NIN-LIKE PROTEIN 1 Rapidly Responds to Nitrogen Deficiency and Improves Yield and Nitrogen Use Efficiency 96%
- Molecular basis of differential adventitious rooting competence in poplar genotypes 96%
- Characterization of growth and development of sorghum genotypes with differential susceptibility to Striga hermonthica 96%
Similar papers in this journal
- OsNLP3/4-OsRFL module regulates nitrogen-promoted panicle architecture in rice 97%
- ENHANCED GRAVITROPISM 2 coordinates molecular adaptations to gravistimulation in the elongation zone of barley roots 97%
- Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture 96%
Similar papers in this journal
- Regulation of ammonium acquisition and use in Oryza longistaminata ramets under nitrogen source heterogeneity 97%
- Paralog editing tunes rice stomatal density to maintain photosynthesis and improve drought tolerance 96%
- Phosphate transporter PHT1;1 as a key determinant of phosphorus acquisition in Arabidopsis natural accessions 96%
Similar papers in this journal
- Ammonium regulates the development and architecture of pine roots through hormonal crosstalk and differential expression of transcription factors in the apex 96%
- Deciphering the genetic basis of wheat seminal root anatomy uncovers ancestral axial conductance alleles 96%
- Auxin Plays a Role in the Adaptation of Rice to Anaerobic Germination and Seedling Establishment 96%
Similar papers in this journal
- Multifaceted roles of rice ABA/stress-induced intrinsically disordered proteins in augmenting drought resistance 98%
- Auxin-responsive (phospho)proteome analysis reveals regulation of cell cycle and ethylene signaling during rice crown root development 96%
- Transcriptomic dynamics of petal development in the one-day flower species, Japanese morning glory (Ipomoea nil) 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.