Pre-harvest sprouting is a major physiological problem in rice caused by prolonged rainfall and high humidity during the harvest period, and it is one of the most important targets in current rice breeding programs. In this study, the effect of cold and freezing storage on the pre-harvest sprouting rate was investigated using ten rice varieties under four different treatments. The result showed storage treatments of panicle samples used for germinate evaluation had no significant influence on the pre-harvest sprouting rate. These findings may enhance the efficiency of mass screening for pre-harvest sprouting and support the development of tolerant rice varieties.
Quantitative trait locus (QTL) analysis is a powerful approach for identifying variants associated with the phenotypic variation of complex traits. However, selecting optimal methods and pre-processing steps require considerable time and effort. In this study, we demonstrated applicability and replicability of machine learning (ML) models in QTL analysis by evaluating their performance in comparison with conventional QTL analysis methods using 142 recombinant inbred lines derived from two
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Ionizing radiation (IR) is regarded as an abiotic stressor for plants because it causes oxidative stress and changes the expression of genes. We investigated RNA sequencing-based global transcriptome changes induced by three different types of IR (gamma rays (GR), ion beams (IB), and proton beams (PB)) at different doses in rice. On average, 489 upregulated and 234 downregulated differentially expressed genes (DEGs) were found per sample. The union of the DEGs for each IR type was collected to simplify the comparison of effects among the different IR treatments. This resulted to a total of 1,558 DEGs after GR irradiation, 1,865 DEGs after IB irradiation, and 1,347 DEGs after PB irradiation. The gene ontology (GO) enrichment analysis of the union DEG sets revealed 69 and 12 commonly enriched GO terms for up- and downregulated DEGs, respectively, many of which were closely related to oxidative stress responses. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway mapping and enrichment analysis of the union DEG sets also showed that most of the DEGs fell into common pathways related to oxidative stress, stress signaling, and redox reactions. A total of 137 transcription factor (TF) genes were differentially expressed, and many belong to families associated with stress responses. Our results suggest that different types and doses of IR can induce universal gene expression changes in response to oxidative stress. This study contributes to our understanding of the molecular response mechanisms to IR in plants.
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At the reproductive development stage of rice (
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Supplying sufficient rice to growing populations is a global challenge. Hybrid
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