2026-10-14T13:34:54Z https://www.scidb.cn/oai

10.57760/sciencedb.46061 2026-08-12T10:45:08Z

2026-08-12 Integration of single-nucleus RNA-seq, DAP-seq and bulk RNA-seq data obtained from peanut seeds doi:10.57760/sciencedb.46061 en This dataset integrates multiple omics sequencing data of developing peanut (Arachis hypogaea L.) seeds, including single-nucleus RNA-seq (snRNA-seq), time-series bulk RNA-seq, and DAP-seq targeting transcription factors. The snRNA-seq atlas resolved 13 distinct cell clusters and identified three principal seed cell types: seed coat, cotyledon and embryonic axis, further unravelling pseudotime differentiation trajectories and cell-type-specific transcriptional regulatory signatures during seed maturation. Time-series bulk RNA-seq captured global gene expression dynamics across three key seed developmental stages (5, 25 and 45 days after peg penetration), enabling differential expression screening, weighted gene co-expression network construction, and computational deconvolution of cell-type proportions. DAP-seq was utilized to map genome-wide binding motifs and downstream target genes of AhWRI1-03a, the master transcription factor governing seed oil biosynthesis, while multi-omics data from peanut pods supplemented the spatiotemporal chromatin accessibility landscape of functional genes. Integrative multi-omics screening combined with transgenic functional validation identified AhWRI1-03a as a novel positive regulator of seed oil accumulation. This work systematically deciphered cellular heterogeneity and the molecular regulatory cascade underlying lipid synthesis in peanut seeds, and developed KASP molecular markers for high-oil peanut breeding. The multi-omics resources and key candidate genes generated herein lay a solid foundation for the genetic improvement and molecular breeding of peanut quality traits. snRNA-seq; Seed development; WRINKLED gene 孙志辉 PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank