Soybean Organ Transcriptomic Atlas(Dataset ID: STDS0000168)

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674
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5
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Spots: 46,387
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Genes: 51,921
Summary
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Dataset information
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Dataset information
Summary:
Disclosing Revealing the temporal and spatial expression of each gene is predominantly importantcritical for the understanding of plant organ development. To this end, There is increasing demand for the construction of an integrated transcriptomic atlases using different multiple types of transcriptome data as a means of achieving this aim is increasingly demanded. in increasing demand. In this study, we sequencesequenced 315 soybean tissues during over the course of the full whole developmental cycle by bulk RNA-seq and sequencesequenced 5 representative organs (root, noduleroots, nodules, shoot apical meristem, leaf and stemmeristems, leaves and stems) by snRNA-seq and Stereo-seq, respectively. Integrating these transcriptome data, we constructconstructed a comprehensive soybean transcriptomic atlases. TakenTaking the investigations of genes related to blade, vascular bundles and nodule development as examples, we demonstrate that thean integrating of integrated transcriptomic atlas has robust powerful potential for in exploring key genes in organ formation. Together, the panoramic soybean transcriptomic atlases provides a valuable resource and wouldwill greatly promote the functional studystudies in the future.
Overall design:
Roots, stems, leaves, shoot apical meristems and nodule from the vegetative cotyledon stages of Glycine max Zhonghuang 13 were fresh frozen and sectioned at 10μm thickness onto spatial transcriptomics (ST) slides for mRNA capture, and the nucleus was dissociated to prepare a single cell suspension for mRNA capture, followed by library preparation and sequencing.
Technology:
Stereo-Seq, scRNA
Platform:
DNBSEQ-T1, DNBSEQ-T7 , DNBSEQ-T10 , DNBSEQ-G400(MGISEQ-2000)
Species:
Glycine max
Tissues:
Plant part
Organ parts:
Root, SAM, Nodule, Leaf, Stem
Development stage:
VC
Submission date: 2022-12-19Update date: 2020-12-19
Sample number: 5Section number: 57
Contributors
Jingwei Fan ; Yanting Shen ; Chuan Chen ; Xi Chen ; Xun Xu ; Xin Liu ; Zhixi Tian
Contact: xuxun@genomics.cn , liuxin@genomics.cn , zxtian@genetics.ac.cn
Accessions
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Reference way
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