Literature DB >> 34340913

Single-cell transcriptome atlas of the leaf and root of rice seedlings.

Yu Wang1, Qing Huan2, Ke Li3, Wenfeng Qian4.   

Abstract

As a multicellular organism, rice flourishes relying on gene expression diversity among cells of various functions. However, cellular-resolution transcriptome features are yet to be fully recognized, let alone cell-specific transcriptional responses to environmental stimuli. In this study, we apply single-cell RNA sequencing to both shoot and root of rice seedlings growing in Kimura B nutrient solution or exposed to various abiotic stresses and characterize transcriptomes for a total of 237,431 individual cells. We identify 15 and 9 cell types in the leaf and root, respectively, and observe that common transcriptome features are often shared between leaves and roots in the same tissue layer, except for endodermis or epidermis. Abiotic stress stimuli alter gene expression largely in a cell type-specific manner, but for a given cell type, different stresses often trigger transcriptional regulation of roughly the same set of genes. Besides, we detect proportional changes in cell populations in response to abiotic stress and investigate the underlying molecular mechanisms through single-cell reconstruction of the developmental trajectory. Collectively, our study represents a benchmark-setting data resource of single-cell transcriptome atlas for rice seedlings and an illustration of exploiting such resources to drive discoveries in plant biology.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Abiotic stress; Cell-to-cell heterogeneity; Developmental trajectory; Plant tissue layer; Rice seedling; Single-cell RNA-seq

Mesh:

Year:  2021        PMID: 34340913     DOI: 10.1016/j.jgg.2021.06.001

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  9 in total

1.  Single-cell genomics revolutionizes plant development studies across scales.

Authors:  Mingyuan Zhu; Isaiah W Taylor; Philip N Benfey
Journal:  Development       Date:  2022-03-14       Impact factor: 6.868

Review 2.  Single-Cell RNA Sequencing for Plant Research: Insights and Possible Benefits.

Authors:  George Bawa; Zhixin Liu; Xiaole Yu; Aizhi Qin; Xuwu Sun
Journal:  Int J Mol Sci       Date:  2022-04-19       Impact factor: 6.208

3.  PCMDB: a curated and comprehensive resource of plant cell markers.

Authors:  Jingjing Jin; Peng Lu; Yalong Xu; Jiemeng Tao; Zefeng Li; Shuaibin Wang; Shizhou Yu; Chen Wang; Xiaodong Xie; Junping Gao; Qiansi Chen; Lin Wang; Wenxuan Pu; Peijian Cao
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

Review 4.  Single-cell RNA sequencing technologies and applications: A brief overview.

Authors:  Dragomirka Jovic; Xue Liang; Hua Zeng; Lin Lin; Fengping Xu; Yonglun Luo
Journal:  Clin Transl Med       Date:  2022-03

5.  Plant Single Cell Transcriptome Hub (PsctH): an integrated online tool to explore the plant single-cell transcriptome landscape.

Authors:  Zhongping Xu; Qiongqiong Wang; Xiangqian Zhu; Guanying Wang; Yuan Qin; Fang Ding; Lili Tu; Henry Daniell; Xianlong Zhang; Shuangxia Jin
Journal:  Plant Biotechnol J       Date:  2021-10-26       Impact factor: 9.803

6.  Identification of novel regulators required for early development of vein pattern in the cotyledons by single-cell RNA-sequencing.

Authors:  Zhixin Liu; Jiajing Wang; Yaping Zhou; Yixin Zhang; Aizhi Qin; Xiaole Yu; Zihao Zhao; Rui Wu; Chenxi Guo; George Bawa; Jean-David Rochaix; Xuwu Sun
Journal:  Plant J       Date:  2022-03-16       Impact factor: 7.091

Review 7.  Plant single-cell solutions for energy and the environment.

Authors:  Benjamin Cole; Dominique Bergmann; Crysten E Blaby-Haas; Ian K Blaby; Kristofer E Bouchard; Siobhan M Brady; Doina Ciobanu; Devin Coleman-Derr; Samuel Leiboff; Jenny C Mortimer; Tatsuya Nobori; Seung Y Rhee; Jeremy Schmutz; Blake A Simmons; Anup K Singh; Neelima Sinha; John P Vogel; Ronan C O'Malley; Axel Visel; Diane E Dickel
Journal:  Commun Biol       Date:  2021-08-12

8.  Development of a single-cell atlas for woodland strawberry (Fragaria vesca) leaves during early Botrytis cinerea infection using single cell RNA-seq.

Authors:  Yibo Bai; Hui Liu; Haimeng Lyu; Liyao Su; Jinsong Xiong; Zong-Ming Max Cheng
Journal:  Hortic Res       Date:  2022-01-19       Impact factor: 6.793

9.  Single-cell RNA-seq describes the transcriptome landscape and identifies critical transcription factors in the leaf blade of the allotetraploid peanut (Arachis hypogaea L.).

Authors:  Hao Liu; Dongxiu Hu; Puxuan Du; Liping Wang; Xuanqiang Liang; Haifen Li; Qing Lu; Shaoxiong Li; Haiyan Liu; Xiaoping Chen; Rajeev K Varshney; Yanbin Hong
Journal:  Plant Biotechnol J       Date:  2021-07-19       Impact factor: 9.803

  9 in total

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