Project description:Genomic diversity is a source of transcriptomic and phenotypic diversities. Although genomic variations in rice (Oryza sativa) accessions have been extensively analyzed, information of transcriptomic and phenotypic variations, especially for below-ground variations, are limited. Here, we report the diversities of above- and below-ground traits and transcriptomes in highly diversified 61 rice accessions grown in the upland-field. We found that phenotypic variations were explained by four principal components and that tiller numbers and crown root diameters could summarize admixture groups. Transcriptome analysis revealed that admixture-group-associated differentially expressed genes 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 the association between auxin signaling and mild drought stress. Negative correlation between crown root diameters and stress response related genes suggested that thicker crown root diameter is associated with mild drought stress tolerance. Finally co-expression network analysis implemented with DAP-seq analysis identified phytohormone signaling network and key transcription factors negatively regulating crown root diameters. Our datasets would serve as an important resource for understanding genomic and transcriptomic basis of phenotypic variations under the upland-field condition.
Project description:Genomic diversity is a source of transcriptomic and phenotypic diversities. Although genomic variations in rice (Oryza sativa) accessions have been extensively analyzed, information of transcriptomic and phenotypic variations, especially for below-ground variations, are limited. Here, we report the diversities of above- and below-ground traits and transcriptomes in highly diversified 61 rice accessions grown in the upland-field. We found that phenotypic variations were explained by four principal components and that tiller numbers and crown root diameters could summarize admixture groups. Transcriptome analysis revealed that admixture-group-associated differentially expressed genes 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 the association between auxin signaling and mild drought stress. Negative correlation between crown root diameters and stress response related genes suggested that thicker crown root diameter is associated with mild drought stress tolerance. Finally co-expression network analysis implemented with DAP-seq analysis identified phytohormone signaling network and key transcription factors negatively regulating crown root diameters. Our datasets would serve as an important resource for understanding genomic and transcriptomic basis of phenotypic variations under the upland-field condition.
Project description:As 5-15% of higher eukaryotes genes are transcription factors (TFs), the lack of transcription factor binding site (TFBS) information for most factors in most organisms limits the study of gene regulation. Here we describe a next-generation sequencing method, DNA affinity purification (DAP-Seq), an in vitro gDNA/TF interaction assay that produces whole-genome TFBS annotation for any factor from any organism. Like ChIP-Seq, DAP-Seq resolves TFBS as discrete peaks at genomic locations which allows for accurate motif prediction direct assignment of functionally relevant target genes, and shows better overlap with ChIP-Seq peaks than indirect motif assignment approaches. We applied DAP-Seq to a set of 50 transcription factors in eight Arabidopsis thaliana and one Zea Mays families to gain novel biological insight into TFBS architectures, functions, evolution and methylation-sensitivity. Overall, DAP-Seq offers a low-cost high-throughput approach to identify TFBS in native sequence context for any organism complete with all DNA chemical modifications.