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Dissecting the cellular architecture and genetic circuitry of the soybean seed
Saturday, 2025/01/11 | 10:24:36
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Julie M. Pelletier, Min Chen, Jer-Young Lin, Brandon Le, Ryan C. Kirkbride, Jungim Hur, Tina Wang, ShuHeng Chang, Alexander Olson, Lachezar Nikolov, Robert B. Goldberg, and John J. Harada
PNAS; December 30, 2024; 122 (1) e2416987121; https://doi.org/10.1073/pnas.2416987121 SignificanceSeeds are a foundation of agriculture whose production is a key to global food security. Understanding the mechanisms that govern seed development may enable strategies to improve agricultural crops. To define the genetic circuitries that underlie the spatial complexity of seeds, we profiled gene activity in tissues and cell types of three seed regions- embryo, endosperm, and seed coat - and in individual nuclei from whole seeds. Data integration permitted the mapping of unique cell types and states spatially within the seed, the identification of biological processes that characterize cells and subregions, and the definition of gene networks that operate cell and subregion specifically and others that operate in several different cell types and subregions. AbstractSeeds are complex structures composed of three regions, embryo, endosperm, and seed coat, with each further divided into subregions that consist of tissues, cell layers, and cell types. Although the seed is well characterized anatomically, much less is known about the genetic circuitry that dictates its spatial complexity. To address this issue, we profiled mRNAs from anatomically distinct seed subregions at several developmental stages. Analyses of these profiles showed that all subregions express similar diverse gene numbers and that the small gene numbers expressed subregion specifically provide information about the biological processes that occur in these seed compartments. In parallel, we profiled RNAs in individual nuclei and identified nuclei clusters representing distinct cell identities. Integrating single-nucleus RNA and subregion mRNA transcriptomes allowed most cell identities to be assigned to specific subregions and cell types and/or cell states. The number of cell identities exceeds the number of anatomically distinguishable cell types, emphasizing the spatial complexity of seeds. We defined gene coexpression networks that underlie distinct biological processes during seed development. We showed that network distribution among subregions and cell identities is highly variable. Some networks operate in single subregions and/or cell identities, and many coexpression networks operate in multiple subregions and/or cell identities. We also showed that single subregions and cell identities possess several networks. Together, our studies provide unique insights into the biological processes and genetic circuitry that underlie the spatial landscape of the seed.
See https://www.pnas.org/doi/10.1073/pnas.2416987121
Figure 1. Genes active in regions, subregions, and tissues throughout soybean seed development. (A, Top) Pods, seeds, and embryos at the globular (glob), heart (hrt), cotyledon (cot), and early-maturation (em) stages. (Scale bars, 50 µm and 100 µm) at the glob, hrt, and cot stages and em stage, respectively. (A, Bottom) Drawings of longitudinal sections of glob, hrt, cot stage seeds, em stage embryo axis, and cross section of an em stage seed. (B) Seed subregions and developmental stages profiled using LCM, with abbreviations. (C) Number of diverse mRNAs, including those encoding transcription factors (TFs), in seed subregions, whole seeds, and vegetative organs throughout soybean development. |
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