1
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Ding L, Fox AR, Chaumont F. Multifaceted role and regulation of aquaporins for efficient stomatal movements. PLANT, CELL & ENVIRONMENT 2024. [PMID: 38742465 DOI: 10.1111/pce.14942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/18/2024] [Accepted: 04/28/2024] [Indexed: 05/16/2024]
Abstract
Stomata are micropores on the leaf epidermis that allow carbon dioxide (CO2) uptake for photosynthesis at the expense of water loss through transpiration. Stomata coordinate the plant gas exchange of carbon and water with the atmosphere through their opening and closing dynamics. In the context of global climate change, it is essential to better understand the mechanism of stomatal movements under different environmental stimuli. Aquaporins (AQPs) are considered important regulators of stomatal movements by contributing to membrane diffusion of water, CO2 and hydrogen peroxide. This review compiles the most recent findings and discusses future directions to update our knowledge of the role of AQPs in stomatal movements. After highlighting the role of subsidiary cells (SCs), which contribute to the high water use efficiency of grass stomata, we explore the expression of AQP genes in guard cells and SCs. We then focus on the cellular regulation of AQP activity at the protein level in stomata. After introducing their post-translational modifications, we detail their trafficking as well as their physical interaction with various partners that regulate AQP subcellular dynamics towards and within specific regions of the cell membranes, such as microdomains and membrane contact sites.
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Affiliation(s)
- Lei Ding
- Louvain Institute of Biomolecular Science and Technology, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Ana Romina Fox
- Louvain Institute of Biomolecular Science and Technology, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - François Chaumont
- Louvain Institute of Biomolecular Science and Technology, Université catholique de Louvain, Louvain-la-Neuve, Belgium
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2
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Grones C, Eekhout T, Shi D, Neumann M, Berg LS, Ke Y, Shahan R, Cox KL, Gomez-Cano F, Nelissen H, Lohmann JU, Giacomello S, Martin OC, Cole B, Wang JW, Kaufmann K, Raissig MT, Palfalvi G, Greb T, Libault M, De Rybel B. Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics. THE PLANT CELL 2024; 36:812-828. [PMID: 38231860 PMCID: PMC10980355 DOI: 10.1093/plcell/koae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/17/2023] [Accepted: 10/24/2023] [Indexed: 01/19/2024]
Abstract
Single-cell and single-nucleus RNA-sequencing technologies capture the expression of plant genes at an unprecedented resolution. Therefore, these technologies are gaining traction in plant molecular and developmental biology for elucidating the transcriptional changes across cell types in a specific tissue or organ, upon treatments, in response to biotic and abiotic stresses, or between genotypes. Despite the rapidly accelerating use of these technologies, collective and standardized experimental and analytical procedures to support the acquisition of high-quality data sets are still missing. In this commentary, we discuss common challenges associated with the use of single-cell transcriptomics in plants and propose general guidelines to improve reproducibility, quality, comparability, and interpretation and to make the data readily available to the community in this fast-developing field of research.
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Affiliation(s)
- Carolin Grones
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent 9052, Belgium
| | - Thomas Eekhout
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent 9052, Belgium
- VIB Single Cell Core Facility, Ghent 9052, Belgium
| | - Dongbo Shi
- Centre for Organismal Studies, Heidelberg University, 69120 Heidelberg, Germany
- Institute of Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany
| | - Manuel Neumann
- Institute of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany
| | - Lea S Berg
- Institute of Plant Sciences, University of Bern, 3012 Bern, Switzerland
| | - Yuji Ke
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent 9052, Belgium
| | - Rachel Shahan
- Department of Biology, Duke University, Durham, NC 27708, USA
- Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA
| | - Kevin L Cox
- Donald Danforth Plant Science Center, St. Louis, MO 63132, USA
| | - Fabio Gomez-Cano
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent 9052, Belgium
| | - Jan U Lohmann
- Centre for Organismal Studies, Heidelberg University, 69120 Heidelberg, Germany
| | - Stefania Giacomello
- SciLifeLab, Department of Gene Technology, KTH Royal Institute of Technology, 17165 Solna, Sweden
| | - Olivier C Martin
- Universities of Paris-Saclay, Paris-Cité and Evry, CNRS, INRAE, Institute of Plant Sciences Paris-Saclay, Gif-sur-Yvette 91192, France
| | - Benjamin Cole
- DOE-Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Jia-Wei Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Kerstin Kaufmann
- Institute of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany
| | - Michael T Raissig
- Institute of Plant Sciences, University of Bern, 3012 Bern, Switzerland
| | - Gergo Palfalvi
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Thomas Greb
- Centre for Organismal Studies, Heidelberg University, 69120 Heidelberg, Germany
| | - Marc Libault
- Division of Plant Science and Technology, Interdisciplinary Plant Group, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65201, USA
| | - Bert De Rybel
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Centre for Plant Systems Biology, Ghent 9052, Belgium
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3
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Ali M, Yang T, He H, Zhang Y. Plant biotechnology research with single-cell transcriptome: recent advancements and prospects. PLANT CELL REPORTS 2024; 43:75. [PMID: 38381195 DOI: 10.1007/s00299-024-03168-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
KEY MESSAGE Single-cell transcriptomic techniques have emerged as powerful tools in plant biology, offering high-resolution insights into gene expression at the individual cell level. This review highlights the rapid expansion of single-cell technologies in plants, their potential in understanding plant development, and their role in advancing plant biotechnology research. Single-cell techniques have emerged as powerful tools to enhance our understanding of biological systems, providing high-resolution transcriptomic analysis at the single-cell level. In plant biology, the adoption of single-cell transcriptomics has seen rapid expansion of available technologies and applications. This review article focuses on the latest advancements in the field of single-cell transcriptomic in plants and discusses the potential role of these approaches in plant development and expediting plant biotechnology research in the near future. Furthermore, inherent challenges and limitations of single-cell technology are critically examined to overcome them and enhance our knowledge and understanding.
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Affiliation(s)
- Muhammad Ali
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 518107, China
- Peking University-Institute of Advanced Agricultural Sciences, Weifang, China
| | - Tianxia Yang
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 518107, China
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding (MOE), China Agricultural University, Beijing, China
| | - Hai He
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 518107, China
| | - Yu Zhang
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 518107, China.
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4
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Nolan TM, Shahan R. Resolving plant development in space and time with single-cell genomics. CURRENT OPINION IN PLANT BIOLOGY 2023; 76:102444. [PMID: 37696725 DOI: 10.1016/j.pbi.2023.102444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 09/13/2023]
Abstract
Single-cell genomics technologies are ushering in a new research era. In this review, we summarize the benefits and current challenges of using these technologies to probe the transcriptional regulation of plant development. In addition to profiling cells at a single snapshot in time, researchers have recently produced time-resolved datasets to map cell responses to stimuli. Live-imaging and spatial transcriptomic techniques are rapidly being adopted to link a cell's transcriptional profile with its spatial location within a tissue. Combining these technologies is a powerful spatiotemporal approach to investigate cell plasticity and developmental responses that contribute to plant resilience. Although there are hurdles to overcome, we conclude by discussing how single-cell genomics is poised to address developmental questions in the coming years.
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Affiliation(s)
- Trevor M Nolan
- Department of Biology, Duke University, Durham, NC 27708, USA; Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA
| | - Rachel Shahan
- Department of Biology, Duke University, Durham, NC 27708, USA; Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA.
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5
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Minow MAA, Marand AP, Schmitz RJ. Leveraging Single-Cell Populations to Uncover the Genetic Basis of Complex Traits. Annu Rev Genet 2023; 57:297-319. [PMID: 37562412 PMCID: PMC10775913 DOI: 10.1146/annurev-genet-022123-110824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
The ease and throughput of single-cell genomics have steadily improved, and its current trajectory suggests that surveying single-cell populations will become routine. We discuss the merger of quantitative genetics with single-cell genomics and emphasize how this synergizes with advantages intrinsic to plants. Single-cell population genomics provides increased detection resolution when mapping variants that control molecular traits, including gene expression or chromatin accessibility. Additionally, single-cell population genomics reveals the cell types in which variants act and, when combined with organism-level phenotype measurements, unveils which cellular contexts impact higher-order traits. Emerging technologies, notably multiomics, can facilitate the measurement of both genetic changes and genomic traits in single cells, enabling single-cell genetic experiments. The implementation of single-cell genetics will advance the investigation of the genetic architecture of complex molecular traits and provide new experimental paradigms to study eukaryotic genetics.
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Affiliation(s)
- Mark A A Minow
- Department of Genetics, University of Georgia, Athens, Georgia, USA;
| | | | - Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, Georgia, USA;
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6
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Zhou Y, Zhang T, Wang X, Wu W, Xing J, Li Z, Qiao X, Zhang C, Wang X, Wang G, Li W, Bai S, Li Z, Suo Y, Wang J, Niu Y, Zhang J, Lan C, Hu Z, Li B, Zhang X, Wang W, Galbraith DW, Chen Y, Guo S, Song CP. A maize epimerase modulates cell wall synthesis and glycosylation during stomatal morphogenesis. Nat Commun 2023; 14:4384. [PMID: 37474494 PMCID: PMC10359280 DOI: 10.1038/s41467-023-40013-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 07/09/2023] [Indexed: 07/22/2023] Open
Abstract
The unique dumbbell-shape of grass guard cells (GCs) is controlled by their cell walls which enable their rapid responses to the environment. The molecular mechanisms regulating the synthesis and assembly of GC walls are as yet unknown. Here we have identified BZU3, a maize gene encoding UDP-glucose 4-epimerase that regulates the supply of UDP-glucose during GC wall synthesis. The BZU3 mutation leads to significant decreases in cellular UDP-glucose levels. Immunofluorescence intensities reporting levels of cellulose and mixed-linkage glucans are reduced in the GCs, resulting in impaired local wall thickening. BZU3 also catalyzes the epimerization of UDP-N-acetylgalactosamine to UDP-N-acetylglucosamine, and the BZU3 mutation affects N-glycosylation of proteins that may be involved in cell wall synthesis and signaling. Our results suggest that the spatiotemporal modulation of BZU3 plays a dual role in controlling cell wall synthesis and glycosylation via controlling UDP-glucose/N-acetylglucosamine homeostasis during stomatal morphogenesis. These findings provide insights into the mechanisms controlling formation of the unique morphology of grass stomata.
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Affiliation(s)
- Yusen Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
- Sanya Institute, Henan University, Sanya, 572025, China
| | - Tian Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Xiaocui Wang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenqiang Wu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Jingjing Xing
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Zuliang Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Xin Qiao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Chunrui Zhang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaohang Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Guangshun Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Wenhui Li
- Sanya Institute, Henan University, Sanya, 572025, China
| | - Shenglong Bai
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Zhi Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Yuanzhen Suo
- Biomedical Pioneering Innovation Center, School of Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, 100871, China
| | - Jiajia Wang
- Joint National Laboratory for Antibody Drug Engineering, Henan University, Kaifeng, 475004, China
| | - Yanli Niu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Junli Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Chen Lan
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Zhubing Hu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
- Sanya Institute, Henan University, Sanya, 572025, China
| | - Baozhu Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Xuebin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - Wei Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
| | - David W Galbraith
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China
- School of Plant Sciences and Bio5 Institute, The University of Arizona, Tucson, AZ, 85721, USA
| | - Yuhang Chen
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China; Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyi Guo
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China.
- Sanya Institute, Henan University, Sanya, 572025, China.
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Jinming avenue 1, Kaifeng, 475004, China.
- Sanya Institute, Henan University, Sanya, 572025, China.
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7
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Jin J, Yu S, Lu P, Cao P. Deciphering plant cell-cell communications using single-cell omics data. Comput Struct Biotechnol J 2023; 21:3690-3695. [PMID: 37576747 PMCID: PMC10412842 DOI: 10.1016/j.csbj.2023.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 08/15/2023] Open
Abstract
Plants have various cell types that respond to different environmental factors, and cell-cell communication is the fundamental process that controls these plant responses. The emergence of single-cell techniques provides opportunities to explore features unique to each cell type and construct a comprehensive cell-cell communication (CCC) network. Although the most current successes of CCC inference were achieved in animal research, computational methods can also be directly applied to plants. This review describes the current major models for cell-cell communication inference and summarizes the computational tools based on single-cell omics datasets. In addition, we discuss the limitations of plant cell-cell communication research and propose new directions to expand the field in meaningful ways.
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Affiliation(s)
- Jingjing Jin
- China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China
| | - Shizhou Yu
- Molecular Genetics Key Laboratory of China Tobacco, Guizhou Academy of Tobacco Science, Guiyang 550081, China
| | - Peng Lu
- China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China
| | - Peijian Cao
- China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
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8
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Qin Y, Sun M, Li W, Xu M, Shao L, Liu Y, Zhao G, Liu Z, Xu Z, You J, Ye Z, Xu J, Yang X, Wang M, Lindsey K, Zhang X, Tu L. Single-cell RNA-seq reveals fate determination control of an individual fibre cell initiation in cotton (Gossypium hirsutum). PLANT BIOTECHNOLOGY JOURNAL 2022; 20:2372-2388. [PMID: 36053965 PMCID: PMC9674311 DOI: 10.1111/pbi.13918] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/21/2022] [Accepted: 08/22/2022] [Indexed: 05/13/2023]
Abstract
Cotton fibre is a unicellular seed trichome, and lint fibre initials per seed as a factor determines fibre yield. However, the mechanisms controlling fibre initiation from ovule epidermis are not understood well enough. Here, with single-cell RNA sequencing (scRNA-seq), a total of 14 535 cells were identified from cotton ovule outer integument of Xu142_LF line at four developmental stages (1.5, 1, 0.5 days before anthesis and the day of anthesis). Three major cell types, fibre, non-fibre epidermis and outer pigment layer were identified and then verified by RNA in situ hybridization. A comparative analysis on scRNA-seq data between Xu142 and its fibreless mutant Xu142 fl further confirmed fibre cluster definition. The developmental trajectory of fibre cell was reconstructed, and fibre cell was identified differentiated at 1 day before anthesis. Gene regulatory networks at four stages revealed the spatiotemporal pattern of core transcription factors, and MYB25-like and HOX3 were demonstrated played key roles as commanders in fibre differentiation and tip-biased diffuse growth respectively. A model for early development of a single fibre cell was proposed here, which sheds light on further deciphering mechanism of plant trichome and the improvement of cotton fibre yield.
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Affiliation(s)
- Yuan Qin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Mengling Sun
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Weiwen Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Mingqi Xu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Lei Shao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Yuqi Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Guannan Zhao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Zhongping Xu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Jiaqi You
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Zhengxiu Ye
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Jiawen Xu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Xiyan Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | | | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
| | - Lili Tu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei ProvinceChina
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9
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Méteignier LV. Single-nucleus transcriptomics for an integrative view of grass stomatal processes. THE PLANT CELL 2022; 34:1882-1883. [PMID: 35288755 PMCID: PMC9048879 DOI: 10.1093/plcell/koac054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 02/09/2022] [Indexed: 06/14/2023]
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