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Yonemaru, J.-i.

Publications and source records attributed to Yonemaru, J.-i..

3 recordsLinked to original sources

Pyramiding panicle-level heat avoidance and grain-level heat tolerance improves rice grain appearance under high-temperature grain filling

High temperature during grain filling increases rice grain chalkiness and deteriorates grain appearance under climate warming. Although several loci that reduce chalkiness have been identified, breeding strategies that integrate grain level heat tolerance with panicle level heat avoidance remain limited. Here we characterized SL2033, a chromosome segment substitution line carrying a long IR64 derived segment on chromosome 10, and evaluated the combination of the chromosome 10 segment with Appearance quality of brown rice 1 (Apq1), a quantitative trait locus associated with reduced heat induced chalkiness that acts at the grain level. Compared with its recurrent parent Koshihikari, SL2033 had longer flag leaves, altered vertical plant architecture, and lower panicle temperature. Total starch and protein contents were comparable between the two genotypes, whereas RNAseq analysis of the developing endosperm identified specific differences in heat, stress, and cell wall related transcripts. In a two year field trial, a pyramided line combining the SL2033 derived segment with Apq1 had the highest proportion of perfect grains and lowest frequencies of multiple chalky kernel types during the year with hotter grain filling conditions, with no detectable yield penalty. The pyramided line combined longer flag leaves, as in SL2033, with shorter panicle exsertion, as in an Apq1 near isogenic line, and had the lowest panicle temperature among the tested genotypes. Time series unmanned aerial vehicle imaging also detected genotype dependent differences in plant height during early grain filling, supporting distinct temporal patterns of plant development among the lines. These findings demonstrate that pyramiding genetic loci that confer panicle level and grain level heat tolerance is a promising strategy for improving rice grain appearance under high temperature field conditions, which are becoming increasingly prevalent.

plant biology↗

Dissecting Agronomically Favorable Genotypes in Temperate Japonica Rice via Haplotype Analysis of a Japan-MAGIC Population

O_LICrop breeding assembles genomic variants into cultivars via crossing and selection. Phenotypic selection has improved yield and lodging tolerance but has limited genetic insights. We show how specific genomic variants and their combinations underpin advances in modern rice breeding in Japan. C_LIO_LIThrough genome-wide association study using a multi-parent advanced-generation intercross population derived from four temperate japonica cultivars, we identified 11 quantitative trait loci (QTLs) for key agronomic traits, including days to heading, shoot biomass, panicle length, and culm length under field conditions. GA20ox1, GA20ox2, and Hd1 were among the QTLs, and their natural variants were well conserved in temperate japonica cultivars bred in Japan, underscoring distinct selection pressures at these loci. C_LIO_LIBy integrating genotype data with 5-year yield-performance-evaluation trials of elite cultivars, we found that cultivars carrying multiple-copy GA20ox1 and functional Hd1, together with non-functional ga20ox2, tended to have shorter culms and higher grain yield than cultivars with multiple-copy GA20ox1, functional Hd1, and GA20ox2. This yield advantage was consistent across latitudes in Japan. C_LIO_LIThese results reveal favorable genotype combinations underlying modern japonica improvement and provide a genomic framework for breeding semi-dwarf, high-yielding cultivars adapted to temperate rice-growing regions in Asia. C_LI

genomics↗

Deciphering transcriptomic signatures explaining the phenotypic plasticity of non-heading lettuce genotypes under artificial light conditions

Elucidating the mechanisms and pathways involved in genotype-environment (GxE) interactions and phenotypic plasticity is critical for improving plant growth. Controlled environment agricultural systems allow growers to modulate the environment for particular genotypes. In this study, we evaluated the effects of interactions among 14 genotypes and four artificial light environments on leaf lettuce phenotypes and dissected the underlying molecular mechanism via transcriptome-based modeling. Variations in morphological traits and phytochemical contents in response to artificial light treatments revealed significant GxE interactions. The appropriate genotype and artificial light combinations for maximizing phenotypic expression were determined on the basis of a joint regression analysis and the additive main effect and multiplicative interaction model for these GxE interactions. Transcriptome-based regression modeling explained approximately 50%-90% of the GxE variations. Further analyzes indicated Red Lettuce Leaves 4 (RLL4) regulates UV-B and blue light signaling through the effects of the HY5-MBW pathway on flavonoid biosynthesis and contributes to natural variations in the light-responsive plasticity of lettuce traits. Our study represents an important step toward elucidating the phenotypic variations due to GxE interactions in non-heading lettuce under artificial light conditions. HighlightsO_LISeveral morphological characteristics of lettuce genotypes were altered by different light wavelengths. C_LIO_LIA defective RLL4 allele (rll4) induces the expression of downstream genes related to UV-B and blue light signaling through activation of the HY5-MBW pathway, which enhances phytochemical accumulation in lettuce. C_LIO_LIGxE analyzes identified the ideal genotype and artificial light combinations for individual phenotypes. C_LIO_LITranscriptome-based modeling explained approximately 50%-90% of the GxE variations. C_LI

plant biology↗