ScRNA-seq reveals dark- and light-induced differentially expressed gene atlases of seedling leaves in Arachis hypogaea L.

Deng, Q and Du, P and Gangurde, S S and Hong, Y and Xiao, Y and Hu, D and Li, H and Lu, Q and Li, S and Liu, H and Wang, R and Huang, L and Wang, W and Garg, V and Liang, X and Varshney, R K and Chen, X and Liu, H (2024) ScRNA-seq reveals dark- and light-induced differentially expressed gene atlases of seedling leaves in Arachis hypogaea L. Plant Biotechnology Journal (TSI), 22 (7). pp. 1848-1866. ISSN 1467-7644

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Abstract

Although the regulatory mechanisms of dark and light-induced plant morphogenesis have been broadly investigated, the biological process in peanuts has not been systematically explored on single-cell resolution. Herein, 10 cell clusters were characterized using scRNA-seq-identified marker genes, based on 13 409 and 11 296 single cells from 1-week-old peanut seedling leaves grown under dark and light conditions. 6104 genes and 50 transcription factors (TFs) displayed significant expression patterns in distinct cell clusters, which provided gene resources for profiling dark/light-induced candidate genes. Further pseudo-time trajectory and cell cycle evidence supported that dark repressed the cell division and perturbed normal cell cycle, especially the PORA abundances correlated with 11 TFs highly enriched in mesophyll to restrict the chlorophyllide synthesis. Additionally, light repressed the epidermis cell developmental trajectory extending by inhibiting the growth hormone pathway, and 21 TFs probably contributed to the different genes transcriptional dynamic. Eventually, peanut AHL17 was identified from the profile of differentially expressed TFs, which encoded protein located in the nucleus promoted leaf epidermal cell enlargement when ectopically overexpressed in Arabidopsis through the regulatory phytohormone pathway. Overall, our study presents the different gene atlases in peanut etiolated and green seedlings, providing novel biological insights to elucidate light-induced leaf cell development at the single-cell level.

Item Type: Article
Divisions: Center of Excellence in Genomics and Systems Biology
CRP: UNSPECIFIED
Uncontrolled Keywords: scRNA-seq, peanut leaf, single cell, light, gene atlases
Subjects: Mandate crops > Groundnut
Others > Genetics and Genomics
Depositing User: Mr Nagaraju T
Date Deposited: 20 Jun 2024 08:39
Last Modified: 20 Jun 2024 08:39
URI: http://oar.icrisat.org/id/eprint/12712
Official URL: https://onlinelibrary.wiley.com/doi/full/10.1111/p...
Projects: UNSPECIFIED
Funders: UNSPECIFIED
Acknowledgement: This work was supported by National Key Research and Development Project (2023YFD1202802), Guangdong Provincial Key Research and Development Program-Modern Seed Industry (2022B0202060004), The Open Competition Program of Top 10 Critical Priorities of Agricultural Science and Technology Innovation for the 14th Five-Year Plan in Guangdong Province (2022SDZG05), The National Natural Science Foundation of China (32172051, 32301869), Guangdong Basic and Applied Basic Research Foundation (2021A1515010811, 2023A1515010098), China Agriculture Research System of MOF and MARA (CARS-13), Technology Special Fund of Guangdong Province Agriculture and Rural Affairs Department (2019KJ136-02), Guangzhou Basic and Applied Basic Research Foundation (202201010281), Agricultural Competitive Industry Discipline Team Building Project of Guangdong Academy of Agricultural Sciences (202104TD), Special Fund for Scientific Innovation Strategy-Construction of High Level Academy of Agriculture Science (R2020PY-JX004, R2020PY-JG005 and R2021PY-QY003), The Foundation of Director of Crop Research Institute of Guangdong Academy of Agriculture Sciences (202101), The Science and Technology Planning Project of Guangdong Province (2021A0505030047), The Special Support Program of Guangdong Province (2021TX06N789), Rural Revitalization Strategy Special Foundation GDAAS Specialist Working Station (2023 Gong Zuo Zhan 05), Planting Industry Development Program of 2023 Rural Revitalization Strategy Special Project (2023-440000-51020300-9528), Science and Technology Planning Project of Heyuan City (Heyuan She Nong Da Zhuan Xiang 2022002), Science and Technology Planning Project of Qingyuan City (2023KJJ002), Guangdong Province Science and Technology Program (2023B1212060038), Lianping Peanut Modern Agricultural Industrial Park Project, Guangdong Province Crop Modern Seed Industrial Park Project. Rajeev K Varshney Thanks Food Future Institute, Murdoch University for The Start up Grant for Its Contribution To This Study.
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