Journal: Nature Communications

Article Title: Natural variation of an E3 ubiquitin ligase encoding gene Chalk9 regulates grain chalkiness in rice

doi: 10.1038/s41467-025-61683-4

Figure Lengend Snippet: a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) heatmap of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.

Article Snippet: Correlation analysis, heatmap plotting, and volcano plot analysis were performed using BMKCloud ( www.biocloud.net ).

Techniques: GWAS, Transformation Assay, Genome Wide, Expressing, Labeling, Comparison, Two Tailed Test

Journal: International Journal of Molecular Sciences

Article Title: Regulation of Phenolic Compound Production by Light Varying in Spectral Quality and Total Irradiance

doi: 10.3390/ijms23126533

Figure Lengend Snippet: Heatmaps depicting similarities of PheC profiles among light treatments ( A ) as well as similarities in response of individual PheCs to the same light conditions ( B ). The relative contents of each PheC per treatment were averaged ( n = 5–6) and subsequently normalized to the maximum value among all light treatments. Cluster analysis was performed on normalized PheC quantitative data (distance function: Euclidean distance; linkage function: Average linkage). Specifications of light treatments: W (white), B (blue), R (red), G (green), L (low irradiance 100 µmol m −2 s −1 ), M (medium irradiance 200 µmol m −2 s −1 ), and H (high irradiance 400 µmol m −2 s −1 ). Compounds of interest: FQA (feruloylquinic acid), LUT (lutonarin), SAP (saponarin), ISD (isoscoparin derivative), HSG (homoorientin-7-O-[6-sinp]-glc), HFG (homoorientin-7-O-[6-fer]-glc), ISG (isovitexin-7-O-[6-sinp]-glc), and IFG (isovitexin-7-O-[6-fer]-glc).

Article Snippet: Further cluster analysis and heatmaps illustrating the differences in the relative content of PheCs across treatments differing in spectral compositions and irradiance were created (RStudio, ).

Techniques: