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Serrano K, Tedeschi F, Andersen SU, Scheller HV. Unraveling plant-microbe symbioses using single-cell and spatial transcriptomics. TRENDS IN PLANT SCIENCE 2024:S1360-1385(24)00152-3. [PMID: 38991926 DOI: 10.1016/j.tplants.2024.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 06/12/2024] [Accepted: 06/19/2024] [Indexed: 07/13/2024]
Abstract
Plant-microbe symbioses require intense interaction and genetic coordination to successfully establish in specific cell types of the host and symbiont. Traditional RNA-seq methodologies lack the cellular resolution to fully capture these complexities, but single-cell and spatial transcriptomics (ST) are now allowing scientists to probe symbiotic interactions at an unprecedented level of detail. Here, we discuss the advantages that novel spatial and single-cell transcriptomic technologies provide in studying plant-microbe endosymbioses and highlight key recent studies. Finally, we consider the remaining limitations of applying these approaches to symbiosis research, which are mainly related to the simultaneous capture of both plant and microbial transcripts within the same cells.
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Affiliation(s)
- Karen Serrano
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; DOE Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Francesca Tedeschi
- Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, DK-8000 Aarhus C, Denmark
| | - Stig U Andersen
- Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, DK-8000 Aarhus C, Denmark.
| | - Henrik V Scheller
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; DOE Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA.
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2
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Rhaman MS, Ali M, Ye W, Li B. Opportunities and Challenges in Advancing Plant Research with Single-cell Omics. GENOMICS, PROTEOMICS & BIOINFORMATICS 2024; 22:qzae026. [PMID: 38996445 DOI: 10.1093/gpbjnl/qzae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 07/14/2024]
Abstract
Plants possess diverse cell types and intricate regulatory mechanisms to adapt to the ever-changing environment of nature. Various strategies have been employed to study cell types and their developmental progressions, including single-cell sequencing methods which provide high-dimensional catalogs to address biological concerns. In recent years, single-cell sequencing technologies in transcriptomics, epigenomics, proteomics, metabolomics, and spatial transcriptomics have been increasingly used in plant science to reveal intricate biological relationships at the single-cell level. However, the application of single-cell technologies to plants is more limited due to the challenges posed by cell structure. This review outlines the advancements in single-cell omics technologies, their implications in plant systems, future research applications, and the challenges of single-cell omics in plant systems.
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Affiliation(s)
- Mohammad Saidur Rhaman
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
| | - Muhammad Ali
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
| | - Wenxiu Ye
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
| | - Bosheng Li
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang 261325, China
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3
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Yue H, Chen G, Zhang Z, Guo Z, Zhang Z, Zhang S, Turlings TCJ, Zhou X, Peng J, Gao Y, Zhang D, Shi X, Liu Y. Single-cell transcriptome landscape elucidates the cellular and developmental responses to tomato chlorosis virus infection in tomato leaf. PLANT, CELL & ENVIRONMENT 2024; 47:2660-2674. [PMID: 38619176 DOI: 10.1111/pce.14906] [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: 01/16/2024] [Revised: 03/14/2024] [Accepted: 03/23/2024] [Indexed: 04/16/2024]
Abstract
Plant viral diseases compromise the growth and yield of the crop globally, and they tend to be more serious under extreme temperatures and drought climate changes. Currently, regulatory dynamics during plant development and in response to virus infection at the plant cell level remain largely unknown. In this study, single-cell RNA sequencing on 23 226 individual cells from healthy and tomato chlorosis virus-infected leaves was established. The specific expression and epigenetic landscape of each cell type during the viral infection stage were depicted. Notably, the mesophyll cells showed a rapid function transition in virus-infected leaves, which is consistent with the pathological changes such as thinner leaves and decreased chloroplast lamella in virus-infected samples. Interestingly, the F-box protein SKIP2 was identified to play a pivotal role in chlorophyll maintenance during virus infection in tomato plants. Knockout of the SlSKIP2 showed a greener leaf state before and after virus infection. Moreover, we further demonstrated that SlSKIP2 was located in the cytomembrane and nucleus and directly regulated by ERF4. In conclusion, with detailed insights into the plant responses to viral infections at the cellular level, our study provides a genetic framework and gene reference in plant-virus interaction and breeding in the future research.
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Affiliation(s)
- Hao Yue
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
- Longping Branch, College of Biology, Hunan University, Changsha, China
| | - Gong Chen
- College of Plant Protection, Hunan Agricultural University, Changsha, China
| | - Zhuo Zhang
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Zhaojiang Guo
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhanhong Zhang
- Institute of Vegetable, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Songbai Zhang
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Ted C J Turlings
- Laboratory of Fundamental and Applied Research in Chemical Ecology, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland
| | - Xuguo Zhou
- Department of Entomology, University of Kentucky, Lexington, Kentucky, USA
| | - Jing Peng
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Yang Gao
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Deyong Zhang
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
- Longping Branch, College of Biology, Hunan University, Changsha, China
| | - Xiaobin Shi
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
- Longping Branch, College of Biology, Hunan University, Changsha, China
| | - Yong Liu
- Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, China
- Longping Branch, College of Biology, Hunan University, Changsha, China
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4
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Passalacqua MJ, Gillis J. Coexpression enhances cross-species integration of single-cell RNA sequencing across diverse plant species. NATURE PLANTS 2024; 10:1075-1080. [PMID: 38937637 PMCID: PMC11266096 DOI: 10.1038/s41477-024-01738-4] [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: 05/09/2023] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
Single-cell RNA sequencing is increasingly used to investigate cross-species differences driven by gene expression and cell-type composition in plants. However, the frequent expansion of plant gene families due to whole-genome duplications makes identification of one-to-one orthologues difficult, complicating integration. Here we demonstrate that coexpression can be used to trim many-to-many orthology families down to identify one-to-one gene pairs with proxy expression profiles, improving the performance of traditional integration methods and reducing barriers to integration across a diverse array of plant species.
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Affiliation(s)
| | - Jesse Gillis
- Genomics Department, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
- Physiology Department and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada.
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Yuan X, Li W, Liu Q, Long Q, Yan Q, Zhang P. Genomic characteristics of adipose-derived stromal cells induced into neurons based on single-cell RNA sequencing. Heliyon 2024; 10:e33079. [PMID: 38984299 PMCID: PMC11231542 DOI: 10.1016/j.heliyon.2024.e33079] [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: 06/27/2023] [Revised: 06/13/2024] [Accepted: 06/13/2024] [Indexed: 07/11/2024] Open
Abstract
Adipose-derived stromal cells (ADSCs) can be induced to differentiate into neurons, representing the most promising avenue for cell therapy. However, the molecular mechanism and genomic characteristics of the differentiation of ADSCs into neurons remain poorly understood. In this study, cells from the adult ADSCs group, induction 1h, 3h, 5h, 6h, and 8h groups were selected for single-cell RNA sequencing (scRNA-Seq). Samples from these seven-time points were sequenced and analyzed. The expression of neuron marker genes, including NES, MAP2, TMEM59L, PTK2B, CHN1, DNM1, NRSN2, FBLN2, SCAMP1, SLC1A1, DLG4, CDK5, and ENO2, was found to be low in the ADSCs group, but highly expressed in differentiated cell clusters. The expression of stem cell marker genes, including CCND1, IL1B, MMP1, MMP3, MYO10, and BMP2, was the highest in the ADSCs cluster. This expression decreased significantly with the extension of induction time. Gene ontology (GO) enrichment analysis of upregulated genes in the induced samples showed that the biological processes related to neuronal differentiation and development, such as neuronal differentiation, projection, and apoptosis, were significantly upregulated with a longer induction time during cell cluster differentiation. The results of the cell communication analysis demonstrated the gradual formation of complex neural network connections between ADSC-derived neurons through receptor and ligand pairs at 5h after the induction of differentiation.
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Affiliation(s)
- Xiaodong Yuan
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
| | - Wen Li
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
| | - Qing Liu
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
| | - Qingxi Long
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
| | - Qi Yan
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
| | - Pingshu Zhang
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, China
- Hebei Provincial Key Laboratory of Neurobiological Function, China
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Zhao B, Gao Y, Ma Q, Wang X, Zhu JK, Li W, Wang B, Yuan F. Global dynamics and cytokinin participation of salt gland development trajectory in recretohalophyte Limonium bicolor. PLANT PHYSIOLOGY 2024; 195:2094-2110. [PMID: 38588029 DOI: 10.1093/plphys/kiae199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/23/2024] [Accepted: 03/13/2024] [Indexed: 04/10/2024]
Abstract
Salt gland is an epidermal Na+ secretory structure that enhances salt resistance in the recretohalophyte sea lavender (Limonium bicolor). To elucidate the salt gland development trajectory and related molecular mechanisms, we performed single-cell RNA sequencing of L. bicolor protoplasts from young leaves at salt gland initiation and differentiation stages. Dimensionality reduction analyses defined 19 transcriptionally distinct cell clusters, which were assigned into 4 broad populations-promeristem, epidermis, mesophyll, and vascular tissue-verified by in situ hybridization. Cytokinin was further proposed to participate in salt gland development by the expression patterns of related genes and cytological evidence. By comparison analyses of Single-cell RNA sequencing with exogenous application of 6-benzylaminopurine, we delineated 5 salt gland development-associated subclusters and defined salt gland-specific differentiation trajectories from Subclusters 8, 4, and 6 to Subcluster 3 and 1. Additionally, we validated the participation of TRIPTYCHON and the interacting protein Lb7G34824 in salt gland development, which regulated the expression of cytokinin metabolism and signaling-related genes such as GLABROUS INFLORESCENCE STEMS 2 to maintain cytokinin homeostasis during salt gland development. Our results generated a gene expression map of young leaves at single-cell resolution for the comprehensive investigation of salt gland determinants and cytokinin participation that helps elucidate cell fate determination during epidermis formation and evolution in recretohalophytes.
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Affiliation(s)
- Boqing Zhao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Yaru Gao
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Qiuyu Ma
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Xi Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Jian-Kang Zhu
- Institute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Weiqiang Li
- Jilin Da'an Agro-ecosystem National Observation Research Station, Changchun Jingyuetan Remote Sensing Experiment Station, State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Baoshan Wang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, Dongying 257000, China
| | - Fang Yuan
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, Dongying 257000, China
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Cervantes-Pérez SA, Zogli P, Amini S, Thibivilliers S, Tennant S, Hossain MS, Xu H, Meyer I, Nooka A, Ma P, Yao Q, Naldrett MJ, Farmer A, Martin O, Bhattacharya S, Kläver J, Libault M. Single-cell transcriptome atlases of soybean root and mature nodule reveal new regulatory programs that control the nodulation process. PLANT COMMUNICATIONS 2024:100984. [PMID: 38845198 DOI: 10.1016/j.xplc.2024.100984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/21/2024] [Accepted: 06/03/2024] [Indexed: 07/14/2024]
Abstract
The soybean root system is complex. In addition to being composed of various cell types, the soybean root system includes the primary root, the lateral roots, and the nodule, an organ in which mutualistic symbiosis with N-fixing rhizobia occurs. A mature soybean root nodule is characterized by a central infection zone where atmospheric nitrogen is fixed and assimilated by the symbiont, resulting from the close cooperation between the plant cell and the bacteria. To date, the transcriptome of individual cells isolated from developing soybean nodules has been established, but the transcriptomic signatures of cells from the mature soybean nodule have not yet been characterized. Using single-nucleus RNA-seq and Molecular Cartography technologies, we precisely characterized the transcriptomic signature of soybean root and mature nodule cell types and revealed the co-existence of different sub-populations of B. diazoefficiens-infected cells in the mature soybean nodule, including those actively involved in nitrogen fixation and those engaged in senescence. Mining of the single-cell-resolution nodule transcriptome atlas and the associated gene co-expression network confirmed the role of known nodulation-related genes and identified new genes that control the nodulation process. For instance, we functionally characterized the role of GmFWL3, a plasma membrane microdomain-associated protein that controls rhizobial infection. Our study reveals the unique cellular complexity of the mature soybean nodule and helps redefine the concept of cell types when considering the infection zone of the soybean nodule.
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Affiliation(s)
| | - Prince Zogli
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Sahand Amini
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA
| | - Sandra Thibivilliers
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA
| | - Sutton Tennant
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA
| | - Md Sabbir Hossain
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA
| | - Hengping Xu
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA
| | - Ian Meyer
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Akash Nooka
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Pengchong Ma
- School of Computing, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Qiuming Yao
- School of Computing, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Michael J Naldrett
- Proteomics and Metabolomics Facility, Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Andrew Farmer
- National Center for Genome Resources, Santa Fe, NM 87505, USA
| | - Olivier Martin
- INRAE, Université Paris-Saclay, Institut des Sciences des Plantes de Paris Saclay, IPS2, Batiment 630 Plateau du Moulon, Rue Noetzlin, 91192 Gif sur Yvette Cedex, France
| | | | | | - Marc Libault
- Division of Plant Science and Technology, College of Agriculture, Food, and Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA; Interdisciplinary Plant Group of Missouri-Columbia, Columbia, MO 65211, USA.
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Liu Q, Ma W, Chen R, Li S, Wang Q, Wei C, Hong Y, Sun H, Cheng Q, Zhao J, Kang J. Multiome in the Same Cell Reveals the Impact of Osmotic Stress on Arabidopsis Root Tip Development at Single-Cell Level. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308384. [PMID: 38634607 PMCID: PMC11199978 DOI: 10.1002/advs.202308384] [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: 11/04/2023] [Revised: 02/27/2024] [Indexed: 04/19/2024]
Abstract
Cell-specific transcriptional regulatory networks (TRNs) play vital roles in plant development and response to environmental stresses. However, traditional single-cell mono-omics techniques are unable to directly capture the relationships and dynamics between different layers of molecular information within the same cells. While advanced algorithm facilitates merging scRNA-seq and scATAC-seq datasets, accurate data integration remains a challenge, particularly when investigating cell-type-specific TRNs. By examining gene expression and chromatin accessibility simultaneously in 16,670 Arabidopsis root tip nuclei, the TRNs are reconstructed that govern root tip development under osmotic stress. In contrast to commonly used computational integration at cell-type level, 12,968 peak-to-gene linkage is captured at the bona fide single-cell level and construct TRNs at an unprecedented resolution. Furthermore, the unprecedented datasets allow to more accurately reconstruct the coordinated changes of gene expression and chromatin states during cellular state transition. During root tip development, chromatin accessibility of initial cells precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for subsequent differentiation steps. Pseudo-time trajectory analysis reveal that osmotic stress can shift the functional differentiation of trichoblast. Candidate stress-related gene-linked cis-regulatory elements (gl-cCREs) as well as potential target genes are also identified, and uncovered large cellular heterogeneity under osmotic stress.
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Affiliation(s)
- Qing Liu
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
| | - Wei Ma
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
| | - Ruiying Chen
- BGI ResearchBeijing102601China
- BGI ResearchShenzhen518083China
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
| | | | - Qifan Wang
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
| | - Cai Wei
- BGI ResearchBeijing102601China
| | - Yiguo Hong
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
- School of Life SciencesUniversity of WarwickCoventryCV4 7ALUK
| | - Hai‐Xi Sun
- BGI ResearchBeijing102601China
- BGI ResearchShenzhen518083China
- College of Life SciencesUniversity of Chinese Academy of SciencesBeijing100049China
| | - Qi Cheng
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
| | - Jianjun Zhao
- State Key Laboratory of North China Crop Improvement and RegulationKey Laboratory of Vegetable Germplasm Innovation and Utilization of HebeiMinistry of Education of China‐Hebei Province Joint Innovation Center for Efficient Green Vegetable IndustryInternational Joint R & D Center of Hebei Province in Modern Agricultural BiotechnologyCollege of Life SciencesCollege of HorticultureHebei Agricultural UniversityBaoding071000China
| | - Jingmin Kang
- BGI ResearchBeijing102601China
- BGI ResearchShenzhen518083China
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Cui Y, Su Y, Bian J, Han X, Guo H, Yang Z, Chen Y, Li L, Li T, Deng XW, Liu X. Single-nucleus RNA and ATAC sequencing analyses provide molecular insights into early pod development of peanut fruit. PLANT COMMUNICATIONS 2024:100979. [PMID: 38794796 DOI: 10.1016/j.xplc.2024.100979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 01/31/2024] [Accepted: 05/22/2024] [Indexed: 05/26/2024]
Abstract
Peanut (Arachis hypogaea L.) is an important leguminous oil and economic crop that produces flowers aboveground and fruits belowground. Subterranean fruit-pod development, which significantly affects peanut production, involves complex molecular mechanisms that likely require the coordinated regulation of multiple genes in different tissues. To investigate the molecular mechanisms that underlie peanut fruit-pod development, we characterized the anatomical features of early fruit-pod development and integrated single-nucleus RNA-sequencing (snRNA-seq) and single-nucleus assay for transposase-accessible chromatin with sequencing (snATAC-seq) data at the single-cell level. We identified distinct cell types, such as meristem, embryo, vascular tissue, cuticular layer, and stele cells within the shell wall. These specific cell types were used to examine potential molecular changes unique to each cell type during pivotal stages of fruit-pod development. snRNA-seq analyses of differentially expressed genes revealed cell-type-specific insights that were not previously obtainable from transcriptome analyses of bulk RNA. For instance, we identified MADS-box genes that contributes to the formation of parenchyma cells and gravity-related genes that are present in the vascular cells, indicating an essential role for the vascular cells in peg gravitropism. Overall, our single-nucleus analysis provides comprehensive and novel information on specific cell types, gene expression, and chromatin accessibility during the early stages of fruit-pod development. This information will enhance our understanding of the mechanisms that underlie fruit-pod development in peanut and contribute to efforts aimed at improving peanut production.
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Affiliation(s)
- Yuanyuan Cui
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Yanning Su
- School of Advanced Agricultural Sciences, Peking University, Beijing 100083, China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Xue Han
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Haosong Guo
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China; School of Advanced Agricultural Sciences, Peking University, Beijing 100083, China
| | - Zhiyuan Yang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Yijun Chen
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Lihui Li
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Tianyu Li
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China
| | - Xing Wang Deng
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China; School of Advanced Agricultural Sciences, Peking University, Beijing 100083, China
| | - Xiaoqin Liu
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory for Advanced Agricultural Sciences at Weifang, Shandong 261325, China.
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10
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Han E, Geng Z, Qin Y, Wang Y, Ma S. Single-cell network analysis reveals gene expression programs for Arabidopsis root development and metabolism. PLANT COMMUNICATIONS 2024:100978. [PMID: 38783601 DOI: 10.1016/j.xplc.2024.100978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/24/2024] [Accepted: 05/20/2024] [Indexed: 05/25/2024]
Abstract
Single-cell RNA-sequencing datasets of Arabidopsis roots have been generated, but related comprehensive gene co-expression network analyses are lacking. We conducted a single-cell gene co-expression network analysis with publicly available scRNA-seq datasets of Arabidopsis roots using a SingleCellGGM algorithm. The analysis identified 149 gene co-expression modules, which we considered to be gene expression programs (GEPs). By examining their spatiotemporal expression, we identified GEPs specifically expressed in major root cell types along their developmental trajectories. These GEPs define gene programs regulating root cell development at different stages and are enriched with relevant developmental regulators. As examples, a GEP specific for the quiescent center (QC) contains 20 genes regulating QC and stem cell niche homeostasis, and four GEPs are expressed in sieve elements (SEs) from early to late developmental stages, with the early-stage GEP containing 17 known SE developmental regulators. We also identified GEPs for metabolic pathways with cell-type-specific expression, suggesting the existence of cell-type-specific metabolism in roots. Using the GEPs, we discovered and verified a columella-specific gene, NRL27, as a regulator of the auxin-related root gravitropism response. Our analysis thus systematically reveals GEPs that regulate Arabidopsis root development and metabolism and provides ample resources for root biology studies.
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Affiliation(s)
- Ershang Han
- MOE Key Laboratory for Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Innovation Academy for Seed Design, Chinese Academy of Sciences, Hefei 230027, China
| | - Zhenxing Geng
- MOE Key Laboratory for Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Innovation Academy for Seed Design, Chinese Academy of Sciences, Hefei 230027, China
| | - Yue Qin
- MOE Key Laboratory for Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Innovation Academy for Seed Design, Chinese Academy of Sciences, Hefei 230027, China
| | - Yuewei Wang
- MOE Key Laboratory for Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Innovation Academy for Seed Design, Chinese Academy of Sciences, Hefei 230027, China
| | - Shisong Ma
- MOE Key Laboratory for Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Innovation Academy for Seed Design, Chinese Academy of Sciences, Hefei 230027, China; School of Data Science, University of Science and Technology of China, Hefei 230027, China.
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11
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Yin R, Chen R, Xia K, Xu X. A single-cell transcriptome atlas reveals the trajectory of early cell fate transition during callus induction in Arabidopsis. PLANT COMMUNICATIONS 2024:100941. [PMID: 38720464 DOI: 10.1016/j.xplc.2024.100941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/16/2024] [Accepted: 05/06/2024] [Indexed: 06/16/2024]
Abstract
The acquisition of pluripotent callus from somatic cells plays an important role in plant development studies and crop genetic improvement. This developmental process incorporates a series of cell fate transitions and reprogramming. However, our understanding of cell heterogeneity and mechanisms of cell fate transition during callus induction remains quite limited. Here, we report a time-series single-cell transcriptome experiment on Arabidopsis root explants that were induced in callus induction medium for 0, 1, and 4 days, and the construction of a detailed single-cell transcriptional atlas of the callus induction process. We identify the cell types responsible for initiating the early callus: lateral root primordium-initiating (LRPI)-like cells and quiescent center (QC)-like cells. LRPI-like cells are derived from xylem pole pericycle cells and are similar to lateral root primordia. We delineate the developmental trajectory of the dedifferentiation of LRPI-like cells into QC-like cells. QC-like cells are undifferentiated pluripotent acquired cells that appear in the early stages of callus formation and play a critical role in later callus development and organ regeneration. We also identify the transcription factors that regulate QC-like cells and the gene expression signatures that are related to cell fate decisions. Overall, our cell-lineage transcriptome atlas for callus induction provides a distinct perspective on cell fate transitions during callus formation, significantly improving our understanding of callus formation.
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Affiliation(s)
- Ruilian Yin
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 10049, China; BGI Research, Beijing 102601, China
| | - Ruiying Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 10049, China; BGI Research, Beijing 102601, China
| | - Keke Xia
- BGI Research, Beijing 102601, China.
| | - Xun Xu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 10049, China; BGI Research, Beijing 102601, China; Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, Guangdong, China.
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12
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Guo C, Huang Z, Chen J, Yu G, Wang Y, Wang X. Identification of Novel Regulators of Leaf Senescence Using a Deep Learning Model. PLANTS (BASEL, SWITZERLAND) 2024; 13:1276. [PMID: 38732491 PMCID: PMC11085074 DOI: 10.3390/plants13091276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024]
Abstract
Deep learning has emerged as a powerful tool for investigating intricate biological processes in plants by harnessing the potential of large-scale data. Gene regulation is a complex process that transcription factors (TFs), cooperating with their target genes, participate in through various aspects of biological processes. Despite its significance, the study of gene regulation has primarily focused on a limited number of notable instances, leaving numerous aspects and interactions yet to be explored comprehensively. Here, we developed DEGRN (Deep learning on Expression for Gene Regulatory Network), an innovative deep learning model designed to decipher gene interactions by leveraging high-dimensional expression data obtained from bulk RNA-Seq and scRNA-Seq data in the model plant Arabidopsis. DEGRN exhibited a compared level of predictive power when applied to various datasets. Through the utilization of DEGRN, we successfully identified an extensive set of 3,053,363 high-quality interactions, encompassing 1430 TFs and 13,739 non-TF genes. Notably, DEGRN's predictive capabilities allowed us to uncover novel regulators involved in a range of complex biological processes, including development, metabolism, and stress responses. Using leaf senescence as an example, we revealed a complex network underpinning this process composed of diverse TF families, including bHLH, ERF, and MYB. We also identified a novel TF, named MAF5, whose expression showed a strong linear regression relation during the progression of senescence. The mutant maf5 showed early leaf decay compared to the wild type, indicating a potential role in the regulation of leaf senescence. This hypothesis was further supported by the expression patterns observed across four stages of leaf development, as well as transcriptomics analysis. Overall, the comprehensive coverage provided by DEGRN expands our understanding of gene regulatory networks and paves the way for further investigations into their functional implications.
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Affiliation(s)
| | | | | | | | | | - Xu Wang
- Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; (C.G.); (Z.H.); (J.C.); (G.Y.); (Y.W.)
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13
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Cao S, Zhao X, Li Z, Yu R, Li Y, Zhou X, Yan W, Chen D, He C. Comprehensive integration of single-cell transcriptomic data illuminates the regulatory network architecture of plant cell fate specification. PLANT DIVERSITY 2024; 46:372-385. [PMID: 38798726 PMCID: PMC11119547 DOI: 10.1016/j.pld.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 05/29/2024]
Abstract
Plant morphogenesis relies on precise gene expression programs at the proper time and position which is orchestrated by transcription factors (TFs) in intricate regulatory networks in a cell-type specific manner. Here we introduced a comprehensive single-cell transcriptomic atlas of Arabidopsis seedlings. This atlas is the result of meticulous integration of 63 previously published scRNA-seq datasets, addressing batch effects and conserving biological variance. This integration spans a broad spectrum of tissues, including both below- and above-ground parts. Utilizing a rigorous approach for cell type annotation, we identified 47 distinct cell types or states, largely expanding our current view of plant cell compositions. We systematically constructed cell-type specific gene regulatory networks and uncovered key regulators that act in a coordinated manner to control cell-type specific gene expression. Taken together, our study not only offers extensive plant cell atlas exploration that serves as a valuable resource, but also provides molecular insights into gene-regulatory programs that varies from different cell types.
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Affiliation(s)
- Shanni Cao
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Xue Zhao
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Zhuojin Li
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Ranran Yu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yuqi Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Chao He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
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14
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Paterson AH, Queitsch C. Genome organization and botanical diversity. THE PLANT CELL 2024; 36:1186-1204. [PMID: 38382084 PMCID: PMC11062460 DOI: 10.1093/plcell/koae045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/07/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024]
Abstract
The rich diversity of angiosperms, both the planet's dominant flora and the cornerstone of agriculture, is integrally intertwined with a distinctive evolutionary history. Here, we explore the interplay between angiosperm genome organization and botanical diversity, empowered by genomic approaches ranging from genetic linkage mapping to analysis of gene regulation. Commonality in the genetic hardware of plants has enabled robust comparative genomics that has provided a broad picture of angiosperm evolution and implicated both general processes and specific elements in contributing to botanical diversity. We argue that the hardware of plant genomes-both in content and in dynamics-has been shaped by selection for rather substantial differences in gene regulation between plants and animals such as maize and human, organisms of comparable genome size and gene number. Their distinctive genome content and dynamics may reflect in part the indeterminate development of plants that puts strikingly different demands on gene regulation than in animals. Repeated polyploidization of plant genomes and multiplication of individual genes together with extensive rearrangement and differential retention provide rich raw material for selection of morphological and/or physiological variations conferring fitness in specific niches, whether natural or artificial. These findings exemplify the burgeoning information available to employ in increasing knowledge of plant biology and in modifying selected plants to better meet human needs.
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Affiliation(s)
- Andrew H Paterson
- Plant Genome Mapping Laboratory, University of Georgia, Athens, GA, USA
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
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15
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Shanks CM, Rothkegel K, Brooks MD, Cheng CY, Alvarez JM, Ruffel S, Krouk G, Gutiérrez RA, Coruzzi GM. Nitrogen sensing and regulatory networks: it's about time and space. THE PLANT CELL 2024; 36:1482-1503. [PMID: 38366121 PMCID: PMC11062454 DOI: 10.1093/plcell/koae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 02/18/2024]
Abstract
A plant's response to external and internal nitrogen signals/status relies on sensing and signaling mechanisms that operate across spatial and temporal dimensions. From a comprehensive systems biology perspective, this involves integrating nitrogen responses in different cell types and over long distances to ensure organ coordination in real time and yield practical applications. In this prospective review, we focus on novel aspects of nitrogen (N) sensing/signaling uncovered using temporal and spatial systems biology approaches, largely in the model Arabidopsis. The temporal aspects span: transcriptional responses to N-dose mediated by Michaelis-Menten kinetics, the role of the master NLP7 transcription factor as a nitrate sensor, its nitrate-dependent TF nuclear retention, its "hit-and-run" mode of target gene regulation, and temporal transcriptional cascade identified by "network walking." Spatial aspects of N-sensing/signaling have been uncovered in cell type-specific studies in roots and in root-to-shoot communication. We explore new approaches using single-cell sequencing data, trajectory inference, and pseudotime analysis as well as machine learning and artificial intelligence approaches. Finally, unveiling the mechanisms underlying the spatial dynamics of nitrogen sensing/signaling networks across species from model to crop could pave the way for translational studies to improve nitrogen-use efficiency in crops. Such outcomes could potentially reduce the detrimental effects of excessive fertilizer usage on groundwater pollution and greenhouse gas emissions.
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Affiliation(s)
- Carly M Shanks
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
| | - Karin Rothkegel
- Agencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile
- Center for Genome Regulation (CRG), Institute of Ecology and Biodiversity (IEB), Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, 8331010 Santiago, Chile
| | - Matthew D Brooks
- Global Change and Photosynthesis Research Unit, USDA-ARS, Urbana, IL 61801, USA
| | - Chia-Yi Cheng
- Department of Life Science, National Taiwan University, Taipei 10663, Taiwan
| | - José M Alvarez
- Agencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile
- Centro de Biotecnología Vegetal, Facultad de Ciencias, Universidad Andrés Bello, 8370035 Santiago, Chile
| | - Sandrine Ruffel
- Institute for Plant Sciences of Montpellier (IPSiM), Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l’Agriculture, l’Alimentation, et l'Environnement (INRAE), Université de Montpellier, Montpellier 34090, France
| | - Gabriel Krouk
- Institute for Plant Sciences of Montpellier (IPSiM), Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche pour l’Agriculture, l’Alimentation, et l'Environnement (INRAE), Université de Montpellier, Montpellier 34090, France
| | - Rodrigo A Gutiérrez
- Agencia Nacional de Investigación y Desarrollo-Millennium Science Initiative Program, Millennium Institute for Integrative Biology (iBio), 7500565 Santiago, Chile
- Center for Genome Regulation (CRG), Institute of Ecology and Biodiversity (IEB), Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, 8331010 Santiago, Chile
| | - Gloria M Coruzzi
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY 10003, USA
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16
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Loo EPI, Durán P, Pang TY, Westhoff P, Deng C, Durán C, Lercher M, Garrido-Oter R, Frommer WB. Sugar transporters spatially organize microbiota colonization along the longitudinal root axis of Arabidopsis. Cell Host Microbe 2024; 32:543-556.e6. [PMID: 38479394 DOI: 10.1016/j.chom.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 02/01/2024] [Accepted: 02/21/2024] [Indexed: 04/13/2024]
Abstract
Plant roots are functionally heterogeneous in cellular architecture, transcriptome profile, metabolic state, and microbial immunity. We hypothesized that axial differentiation may also impact spatial colonization by root microbiota along the root axis. We developed two growth systems, ArtSoil and CD-Rhizotron, to grow and then dissect Arabidopsis thaliana roots into three segments. We demonstrate that distinct endospheric and rhizosphere bacterial communities colonize the segments, supporting the hypothesis of microbiota differentiation along the axis. Root metabolite profiling of each segment reveals differential metabolite enrichment and specificity. Bioinformatic analyses and GUS histochemistry indicate microbe-induced accumulation of SWEET2, 4, and 12 sugar uniporters. Profiling of root segments from sweet mutants shows altered spatial metabolic profiles and reorganization of endospheric root microbiota. This work reveals the interdependency between root metabolites and microbial colonization and the contribution of SWEETs to spatial diversity and stability of microbial ecosystem.
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Affiliation(s)
- Eliza P-I Loo
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Institute for Molecular Physiology, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences, 40225 Düsseldorf, Germany.
| | - Paloma Durán
- Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany; Cluster of Excellence on Plant Sciences, 40225 Düsseldorf, Germany
| | - Tin Yau Pang
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Institute for Computer Science and Department of Biology, 40225 Düsseldorf, Germany; Heinrich Heine University Düsseldorf, Medical Faculty and University Hospital Düsseldorf, Division of Cardiology, Pulmonology and Vascular Medicine, 40225 Düsseldorf, Germany
| | - Philipp Westhoff
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Plant Metabolism and Metabolomics Laboratory, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences, 40225 Düsseldorf, Germany
| | - Chen Deng
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Institute for Molecular Physiology, 40225 Düsseldorf, Germany
| | - Carlos Durán
- Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany
| | - Martin Lercher
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Institute for Computer Science and Department of Biology, 40225 Düsseldorf, Germany; Heinrich Heine University Düsseldorf, Medical Faculty and University Hospital Düsseldorf, Division of Cardiology, Pulmonology and Vascular Medicine, 40225 Düsseldorf, Germany
| | - Ruben Garrido-Oter
- Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany; Cluster of Excellence on Plant Sciences, 40225 Düsseldorf, Germany; Earlham Institute, Norwich NR4 7UZ, UK
| | - Wolf B Frommer
- Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Institute for Molecular Physiology, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences, 40225 Düsseldorf, Germany; Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, 464-8601 Nagoya, Japan.
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17
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Adema K, Schon MA, Nodine MD, Kohlen W. Lost in space: what single-cell RNA sequencing cannot tell you. TRENDS IN PLANT SCIENCE 2024:S1360-1385(24)00066-9. [PMID: 38570278 DOI: 10.1016/j.tplants.2024.03.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/21/2024] [Accepted: 03/11/2024] [Indexed: 04/05/2024]
Abstract
Plant scientists are rapidly integrating single-cell RNA sequencing (scRNA-seq) into their workflows. Maximizing the potential of scRNA-seq requires a proper understanding of the spatiotemporal context of cells. However, positional information is inherently lost during scRNA-seq, limiting its potential to characterize complex biological systems. In this review we highlight how current single-cell analysis pipelines cannot completely recover spatial information, which confounds biological interpretation. Various strategies exist to identify the location of RNA, from classical RNA in situ hybridization to spatial transcriptomics. Herein we discuss the possibility of utilizing this spatial information to supervise single-cell analyses. An integrative approach will maximize the potential of each technology, and lead to insights which go beyond the capability of each individual technology.
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Affiliation(s)
- Kelvin Adema
- Laboratory of Cell and Developmental Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands
| | - Michael A Schon
- Laboratory of Cell and Developmental Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands; Laboratory of Molecular Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands
| | - Michael D Nodine
- Laboratory of Molecular Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands
| | - Wouter Kohlen
- Laboratory of Cell and Developmental Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands; Laboratory of Molecular Biology, Cluster of Plant Developmental Biology, Department of Plant Sciences, Wageningen University, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
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18
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LeFever NM, Katreddi RR, Dolphin NM, Mathias NA, Forni PE. Following the p63/Keratin5 basal cells in the sensory and non-sensory epithelia of the vomeronasal organ. Genesis 2024; 62:e23596. [PMID: 38665067 PMCID: PMC11141727 DOI: 10.1002/dvg.23596] [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] [Received: 11/16/2023] [Revised: 02/27/2024] [Accepted: 03/19/2024] [Indexed: 05/01/2024]
Abstract
The vomeronasal organ (VNO) is a part of the accessory olfactory system, which detects pheromones and chemical factors that trigger a spectrum of sexual and social behaviors. The vomeronasal epithelium (VNE) shares several features with the epithelium of the main olfactory epithelium (MOE). However, it is a distinct neuroepithelium populated by chemosensory neurons that differ from the olfactory sensory neurons in cellular structure, receptor expression, and connectivity. The vomeronasal organ of rodents comprises a sensory epithelium (SE) and a thin non-sensory epithelium (NSE) that morphologically resembles the respiratory epithelium. Sox2-positive cells have been previously identified as the stem cell population that gives rise to neuronal progenitors in MOE and VNE. In addition, the MOE also comprises p63 positive horizontal basal cells, a second pool of quiescent stem cells that become active in response to injury. Immunolabeling against the transcription factor p63, Keratin-5 (Krt5), Krt14, NrCAM, and Krt5Cre tracing experiments highlighted the existence of horizontal basal cells distributed along the basal lamina of SE of the VNO. Single cell sequencing and genetic lineage tracing suggest that the vomeronasal horizontal basal cells arise from basal progenitors at the boundary between the SE and NSE proximal to the marginal zones. Moreover, our experiments revealed that the NSE of rodents is, like the respiratory epithelium, a stratified epithelium where the p63/Krt5+ basal progenitor cells self-replicate and give rise to the apical columnar cells facing the lumen of the VNO.
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Affiliation(s)
- Noah M LeFever
- Department of Biological Sciences, University at Albany, State University of New York, Albany, New York, USA
- The RNA Institute, University at Albany, State University of New York, Albany, New York, USA
| | - Raghu Ram Katreddi
- Department of Biological Sciences, University at Albany, State University of New York, Albany, New York, USA
- The RNA Institute, University at Albany, State University of New York, Albany, New York, USA
| | - Nikki M Dolphin
- Department of Biological Sciences, University at Albany, State University of New York, Albany, New York, USA
- The RNA Institute, University at Albany, State University of New York, Albany, New York, USA
| | - Nick A Mathias
- Department of Biological Sciences, University at Albany, State University of New York, Albany, New York, USA
- The RNA Institute, University at Albany, State University of New York, Albany, New York, USA
| | - Paolo E Forni
- Department of Biological Sciences, University at Albany, State University of New York, Albany, New York, USA
- The RNA Institute, University at Albany, State University of New York, Albany, New York, USA
- The Center for Neuroscience Research, University at Albany, State University of New York, Albany, New York, USA
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19
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von der Mark C, Minne M, De Rybel B. Studying plant vascular development using single-cell approaches. CURRENT OPINION IN PLANT BIOLOGY 2024; 78:102526. [PMID: 38479078 DOI: 10.1016/j.pbi.2024.102526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 04/07/2024]
Abstract
Vascular cells form a highly complex and heterogeneous tissue. Its composition, function, shape, and arrangement vary with the developmental stage and between organs and species. Understanding the transcriptional regulation underpinning this complexity thus requires a high-resolution technique that is capable of capturing rapid events during vascular cell formation. Single-cell and single-nucleus RNA sequencing (sc/snRNA-seq) approaches provide powerful tools to extract transcriptional information from these lowly abundant and dynamically changing cell types, which allows the reconstruction of developmental trajectories. Here, we summarize and reflect on recent studies using single-cell transcriptomics to study vascular cell types and discuss current and future implementations of sc/snRNA-seq approaches in the field of vascular development.
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Affiliation(s)
- Claudia von der Mark
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Max Minne
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Bert De Rybel
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.
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20
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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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21
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Lin S, Feng D, Han X, Li L, Lin Y, Gao H. Microfluidic platform for omics analysis on single cells with diverse morphology and size: A review. Anal Chim Acta 2024; 1294:342217. [PMID: 38336406 DOI: 10.1016/j.aca.2024.342217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/04/2024] [Accepted: 01/04/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Microfluidic techniques have emerged as powerful tools in single-cell research, facilitating the exploration of omics information from individual cells. Cell morphology is crucial for gene expression and physiological processes. However, there is currently a lack of integrated analysis of morphology and single-cell omics information. A critical challenge remains: what platform technologies are the best option to decode omics data of cells that are complex in morphology and size? RESULTS This review highlights achievements in microfluidic-based single-cell omics and isolation of cells based on morphology, along with other cell sorting methods based on physical characteristics. Various microfluidic platforms for single-cell isolation are systematically presented, showcasing their diversity and adaptability. The discussion focuses on microfluidic devices tailored to the distinct single-cell isolation requirements in plants and animals, emphasizing the significance of considering cell morphology and cell size in optimizing single-cell omics strategies. Simultaneously, it explores the application of microfluidic single-cell sorting technologies to single-cell sequencing, aiming to effectively integrate information about cell shape and size. SIGNIFICANCE AND NOVELTY The novelty lies in presenting a comprehensive overview of recent accomplishments in microfluidic-based single-cell omics, emphasizing the integration of different microfluidic platforms and their implications for cell morphology-based isolation. By underscoring the pivotal role of the specialized morphology of different cells in single-cell research, this review provides robust support for delving deeper into the exploration of single-cell omics data.
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Affiliation(s)
- Shujin Lin
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China
| | - Dan Feng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiao Han
- College of Biological Science and Engineering, Fuzhou University, Fuzhou, 350108, China.
| | - Ling Li
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China; The First Clinical Medical College of Fujian Medical University, Fuzhou, 350004, China; Hepatopancreatobiliary Surgery Department, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350004, China.
| | - Yao Lin
- Central Laboratory at the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, China; Collaborative Innovation Center for Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, China.
| | - Haibing Gao
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China.
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22
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Kaur H, Jha P, Ochatt SJ, Kumar V. Single-cell transcriptomics is revolutionizing the improvement of plant biotechnology research: recent advances and future opportunities. Crit Rev Biotechnol 2024; 44:202-217. [PMID: 36775666 DOI: 10.1080/07388551.2023.2165900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 11/04/2022] [Accepted: 12/08/2022] [Indexed: 02/14/2023]
Abstract
Single-cell approaches are a promising way to obtain high-resolution transcriptomics data and have the potential to revolutionize the study of plant growth and development. Recent years have seen the advent of unprecedented technological advances in the field of plant biology to study the transcriptional information of individual cells by single-cell RNA sequencing (scRNA-seq). This review focuses on the modern advancements of single-cell transcriptomics in plants over the past few years. In addition, it also offers a new insight of how these emerging methods will expedite advance research in plant biotechnology in the near future. Lastly, the various technological hurdles and inherent limitations of single-cell technology that need to be conquered to develop such outstanding possible knowledge gain is critically analyzed and discussed.
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Affiliation(s)
- Harmeet Kaur
- Division of Research and Development, Plant Biotechnology Lab, Lovely Professional University, Phagwara, Punjab, India
- Department of Biotechnology, Lovely Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Priyanka Jha
- Department of Biotechnology, Lovely Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab, India
- Department of Research Facilitation, Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India
| | - Sergio J Ochatt
- Agroécologie, InstitutAgro Dijon, INRAE, Univ. Bourgogne Franche-Comté, Dijon, France
| | - Vijay Kumar
- Division of Research and Development, Plant Biotechnology Lab, Lovely Professional University, Phagwara, Punjab, India
- Department of Biotechnology, Lovely Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab, India
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23
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Islam MT, Liu Y, Hassan MM, Abraham PE, Merlet J, Townsend A, Jacobson D, Buell CR, Tuskan GA, Yang X. Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology. BIODESIGN RESEARCH 2024; 6:0029. [PMID: 38435807 PMCID: PMC10905259 DOI: 10.34133/bdr.0029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/28/2024] [Indexed: 03/05/2024] Open
Abstract
Plants are complex systems hierarchically organized and composed of various cell types. To understand the molecular underpinnings of complex plant systems, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for revealing high resolution of gene expression patterns at the cellular level and investigating the cell-type heterogeneity. Furthermore, scRNA-seq analysis of plant biosystems has great potential for generating new knowledge to inform plant biosystems design and synthetic biology, which aims to modify plants genetically/epigenetically through genome editing, engineering, or re-writing based on rational design for increasing crop yield and quality, promoting the bioeconomy and enhancing environmental sustainability. In particular, data from scRNA-seq studies can be utilized to facilitate the development of high-precision Build-Design-Test-Learn capabilities for maximizing the targeted performance of engineered plant biosystems while minimizing unintended side effects. To date, scRNA-seq has been demonstrated in a limited number of plant species, including model plants (e.g., Arabidopsis thaliana), agricultural crops (e.g., Oryza sativa), and bioenergy crops (e.g., Populus spp.). It is expected that future technical advancements will reduce the cost of scRNA-seq and consequently accelerate the application of this emerging technology in plants. In this review, we summarize current technical advancements in plant scRNA-seq, including sample preparation, sequencing, and data analysis, to provide guidance on how to choose the appropriate scRNA-seq methods for different types of plant samples. We then highlight various applications of scRNA-seq in both plant systems biology and plant synthetic biology research. Finally, we discuss the challenges and opportunities for the application of scRNA-seq in plants.
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Affiliation(s)
- Md Torikul Islam
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Yang Liu
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Md Mahmudul Hassan
- Department of Genetics and Plant Breeding,
Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh
| | - Paul E. Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Jean Merlet
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education,
University of Tennessee Knoxville, Knoxville, TN 37996, USA
| | - Alice Townsend
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- Bredesen Center for Interdisciplinary Research and Graduate Education,
University of Tennessee Knoxville, Knoxville, TN 37996, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - C. Robin Buell
- Center for Applied Genetic Technologies,
University of Georgia, Athens, GA 30602, USA
- Department of Crop and Soil Sciences,
University of Georgia, Athens, GA 30602, USA
- Institute of Plant Breeding, Genetics, and Genomics,
University of Georgia, Athens, GA 30602, USA
| | - Gerald A. Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
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24
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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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25
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He Z, Lan Y, Zhou X, Yu B, Zhu T, Yang F, Fu LY, Chao H, Wang J, Feng RX, Zuo S, Lan W, Chen C, Chen M, Zhao X, Hu K, Chen D. Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis. PLANT COMMUNICATIONS 2024; 5:100717. [PMID: 37715446 PMCID: PMC10873878 DOI: 10.1016/j.xplc.2023.100717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 08/14/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
The plant genome produces an extremely large collection of long noncoding RNAs (lncRNAs) that are generally expressed in a context-specific manner and have pivotal roles in regulation of diverse biological processes. Here, we mapped the transcriptional heterogeneity of lncRNAs and their associated gene regulatory networks at single-cell resolution. We generated a comprehensive cell atlas at the whole-organism level by integrative analysis of 28 published single-cell RNA sequencing (scRNA-seq) datasets from juvenile Arabidopsis seedlings. We then provided an in-depth analysis of cell-type-related lncRNA signatures that show expression patterns consistent with canonical protein-coding gene markers. We further demonstrated that the cell-type-specific expression of lncRNAs largely explains their tissue specificity. In addition, we predicted gene regulatory networks on the basis of motif enrichment and co-expression analysis of lncRNAs and mRNAs, and we identified putative transcription factors orchestrating cell-type-specific expression of lncRNAs. The analysis results are available at the single-cell-based plant lncRNA atlas database (scPLAD; https://biobigdata.nju.edu.cn/scPLAD/). Overall, this work demonstrates the power of integrative single-cell data analysis applied to plant lncRNA biology and provides fundamental insights into lncRNA expression specificity and associated gene regulation.
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Affiliation(s)
- Zhaohui He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yangming Lan
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Bianjiong Yu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Tao Zhu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Fa Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Liang-Yu Fu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Haoyu Chao
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jiahao Wang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education, College of Agriculture, Yangzhou University, Yangzhou 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Rong-Xu Feng
- Zhejiang Zhoushan High School, Zhoushan 316099, China
| | - Shimin Zuo
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education, College of Agriculture, Yangzhou University, Yangzhou 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, China
| | - Wenzhi Lan
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Chunli Chen
- National Key Laboratory for Germplasm Innovation and Utilization for Fruit and Vegetable Horticultural Crops, Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Ming Chen
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Xue Zhao
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.
| | - Keming Hu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education, College of Agriculture, Yangzhou University, Yangzhou 225009, China; Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, China.
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.
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26
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Bawa G, Liu Z, Yu X, Tran LSP, Sun X. Introducing single cell stereo-sequencing technology to transform the plant transcriptome landscape. TRENDS IN PLANT SCIENCE 2024; 29:249-265. [PMID: 37914553 DOI: 10.1016/j.tplants.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 10/01/2023] [Accepted: 10/02/2023] [Indexed: 11/03/2023]
Abstract
Single cell RNA-sequencing (scRNA-seq) advancements have helped detect transcriptional heterogeneities in biological samples. However, scRNA-seq cannot currently provide high-resolution spatial transcriptome information or identify subcellular organs in biological samples. These limitations have led to the development of spatially enhanced-resolution omics-sequencing (Stereo-seq), which combines spatial information with single cell transcriptomics to address the challenges of scRNA-seq alone. In this review, we discuss the advantages of Stereo-seq technology. We anticipate that the application of such an integrated approach in plant research will advance our understanding of biological process in the plant transcriptomics era. We conclude with an outlook of how such integration will enhance crop improvement.
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Affiliation(s)
- George Bawa
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, PR China
| | - Zhixin Liu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, PR China
| | - Xiaole Yu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, PR China
| | - Lam-Son Phan Tran
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA.
| | - Xuwu Sun
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, PR China.
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27
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Li Y, Ma H, Wu Y, Ma Y, Yang J, Li Y, Yue D, Zhang R, Kong J, Lindsey K, Zhang X, Min L. Single-Cell Transcriptome Atlas and Regulatory Dynamics in Developing Cotton Anthers. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2304017. [PMID: 37974530 PMCID: PMC10797427 DOI: 10.1002/advs.202304017] [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: 06/18/2023] [Revised: 10/08/2023] [Indexed: 11/19/2023]
Abstract
Plant anthers are composed of different specialized cell types with distinct roles in plant reproduction. High temperature (HT) stress causes male sterility, resulting in crop yield reduction. However, the spatial expression atlas and regulatory dynamics during anther development and in response to HT remain largely unknown. Here, the first single-cell transcriptome atlas and chromatin accessibility survey in cotton anther are established, depicting the specific expression and epigenetic landscape of each type of cell in anthers. The reconstruction of meiotic cells, tapetal cells, and middle layer cell developmental trajectories not only identifies novel expressed genes, but also elucidates the precise degradation period of middle layer and reveals a rapid function transition of tapetal cells during the tetrad stage. By applying HT, heterogeneity in HT response is shown among cells of anthers, with tapetal cells responsible for pollen wall synthesis are most sensitive to HT. Specifically, HT shuts down the chromatin accessibility of genes specifically expressed in the tapetal cells responsible for pollen wall synthesis, such as QUARTET 3 (QRT3) and CYTOCHROME P450 703A2 (CYP703A2), resulting in a silent expression of these genes, ultimately leading to abnormal pollen wall and male sterility. Collectively, this study provides substantial information on anthers and provides clues for heat-tolerant crop creation.
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Affiliation(s)
- Yanlong Li
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Huanhuan Ma
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Yuanlong Wu
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Yizan Ma
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Jing Yang
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Yawei Li
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Dandan Yue
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Rui Zhang
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Jie Kong
- Institute of Economic CropsXinjiang Academy of Agricultural SciencesXinjiang830091China
| | - Keith Lindsey
- Department of BiosciencesDurham UniversityDurham27710UK
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
| | - Ling Min
- National Key Laboratory of Crop Genetic Improvement & Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhanHubei430070China
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28
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Han X, Zhang Y, Lou Z, Li J, Wang Z, Gao C, Liu Y, Ren Z, Liu W, Li B, Pan W, Zhang H, Sang Q, Wan M, He H, Deng XW. Time series single-cell transcriptional atlases reveal cell fate differentiation driven by light in Arabidopsis seedlings. NATURE PLANTS 2023; 9:2095-2109. [PMID: 37903986 PMCID: PMC10724060 DOI: 10.1038/s41477-023-01544-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 09/19/2023] [Indexed: 11/01/2023]
Abstract
Light serves as the energy source for plants as well as a signal for growth and development during their whole life cycle. Seedling de-etiolation is the most dramatic manifestation of light-regulated plant development processes, as massive reprogramming of the plant transcriptome occurs at this time. Although several studies have reported about organ-specific development and expression induced by light, a systematic analysis of cell-type-specific differentiation and the associated transcriptional regulation is still lacking. Here we obtained single-cell transcriptional atlases for etiolated, de-etiolating and light-grown Arabidopsis thaliana seedlings. Informative cells from shoot and root tissues were grouped into 48 different cell clusters and finely annotated using multiple markers. With the determination of comprehensive developmental trajectories, we demonstrate light modulation of cell fate determination during guard cell specialization and vasculature development. Comparison of expression atlases between wild type and the pifq mutant indicates that phytochrome-interacting factors (PIFs) are involved in distinct developmental processes in endodermal and stomatal lineage cells via controlling cell-type-specific expression of target genes. These results provide information concerning the light signalling networks at the cell-type resolution, improving our understanding of how light regulates plant development at the cell-type and genome-wide levels. The obtained information could serve as a valuable resource for comprehensively investigating the molecular mechanism of cell development and differentiation in response to light.
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Affiliation(s)
- Xue Han
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China
| | - Yilin Zhang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China
| | - Zhiying Lou
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Jian Li
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Zheng Wang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Chunlei Gao
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Yi Liu
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China
| | - Zizheng Ren
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Weimin Liu
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Bosheng Li
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Wenbo Pan
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Huawei Zhang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Qing Sang
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Miaomiao Wan
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China
| | - Hang He
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China.
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China.
| | - Xing Wang Deng
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China.
- School of Advanced Agricultural Sciences and School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Peking University, Beijing, China.
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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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30
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Passalacqua MJ, Gillis J. Coexpression enhances cross-species integration of scRNA-seq across diverse plant species. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.28.569145. [PMID: 38076991 PMCID: PMC10705427 DOI: 10.1101/2023.11.28.569145] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
Single-cell RNA sequencing is increasingly used to investigate cross-species differences driven by gene expression and cell-type composition in plants. However, the frequent expansion of plant gene families due to whole genome duplications makes identification of one-to-one orthologs difficult, complicating integration. Here, we demonstrate that coexpression can be used to identify non-orthologous gene pairs with proxy expression profiles, improving the performance of traditional integration methods and reducing barriers to integration across a diverse array of plant species.
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31
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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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32
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Kułak K, Wojciechowska N, Samelak-Czajka A, Jackowiak P, Bagniewska-Zadworna A. How to explore what is hidden? A review of techniques for vascular tissue expression profile analysis. PLANT METHODS 2023; 19:129. [PMID: 37981669 PMCID: PMC10659056 DOI: 10.1186/s13007-023-01109-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/10/2023] [Indexed: 11/21/2023]
Abstract
The evolution of plants to efficiently transport water and assimilates over long distances is a major evolutionary success that facilitated their growth and colonization of land. Vascular tissues, namely xylem and phloem, are characterized by high specialization, cell heterogeneity, and diverse cell components. During differentiation and maturation, these tissues undergo an irreversible sequence of events, leading to complete protoplast degradation in xylem or partial degradation in phloem, enabling their undisturbed conductive function. Due to the unique nature of vascular tissue, and the poorly understood processes involved in xylem and phloem development, studying the molecular basis of tissue differentiation is challenging. In this review, we focus on methods crucial for gene expression research in conductive tissues, emphasizing the importance of initial anatomical analysis and appropriate material selection. We trace the expansion of molecular techniques in vascular gene expression studies and discuss the application of single-cell RNA sequencing, a high-throughput technique that has revolutionized transcriptomic analysis. We explore how single-cell RNA sequencing will enhance our knowledge of gene expression in conductive tissues.
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Affiliation(s)
- Karolina Kułak
- Department of General Botany, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614, Poznan, Poland.
| | - Natalia Wojciechowska
- Department of General Botany, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614, Poznan, Poland
| | - Anna Samelak-Czajka
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704, Poznan, Poland
| | - Paulina Jackowiak
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704, Poznan, Poland
| | - Agnieszka Bagniewska-Zadworna
- Department of General Botany, Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614, Poznan, Poland.
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33
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Dorrity MW, Saunders LM, Duran M, Srivatsan SR, Barkan E, Jackson DL, Sattler SM, Ewing B, Queitsch C, Shendure J, Raible DW, Kimelman D, Trapnell C. Proteostasis governs differential temperature sensitivity across embryonic cell types. Cell 2023; 186:5015-5027.e12. [PMID: 37949057 PMCID: PMC11178971 DOI: 10.1016/j.cell.2023.10.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 05/29/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023]
Abstract
Embryonic development is remarkably robust, but temperature stress can degrade its ability to generate animals with invariant anatomy. Phenotypes associated with environmental stress suggest that some cell types are more sensitive to stress than others, but the basis of this sensitivity is unknown. Here, we characterize hundreds of individual zebrafish embryos under temperature stress using whole-animal single-cell RNA sequencing (RNA-seq) to identify cell types and molecular programs driving phenotypic variability. We find that temperature perturbs the normal proportions and gene expression programs of numerous cell types and also introduces asynchrony in developmental timing. The notochord is particularly sensitive to temperature, which we map to a specialized cell type: sheath cells. These cells accumulate misfolded protein at elevated temperature, leading to a cascading structural failure of the notochord and anatomic defects. Our study demonstrates that whole-animal single-cell RNA-seq can identify mechanisms for developmental robustness and pinpoint cell types that constitute key failure points.
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Affiliation(s)
- Michael W Dorrity
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Structural and Computational Biology, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
| | - Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eliza Barkan
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Sydney M Sattler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Brent Ewing
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA
| | - David W Raible
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - David Kimelman
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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34
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Hao F, Liu X, Zhou B, Tian Z, Zhou L, Zong H, Qi J, He J, Zhang Y, Zeng P, Li Q, Wang K, Xia K, Guo X, Li L, Shao W, Zhang B, Li S, Yang H, Hui L, Chen W, Peng L, Liu F, Rong ZQ, Peng Y, Zhu W, McCallum JA, Li Z, Xu X, Yang H, Macknight RC, Wang W, Cai J. Chromosome-level genomes of three key Allium crops and their trait evolution. Nat Genet 2023; 55:1976-1986. [PMID: 37932434 DOI: 10.1038/s41588-023-01546-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 09/20/2023] [Indexed: 11/08/2023]
Abstract
Allium crop breeding remains severely hindered due to the lack of high-quality reference genomes. Here we report high-quality chromosome-level genome assemblies for three key Allium crops (Welsh onion, garlic and onion), which are 11.17 Gb, 15.52 Gb and 15.78 Gb in size with the highest recorded contig N50 of 507.27 Mb, 109.82 Mb and 81.66 Mb, respectively. Beyond revealing the genome evolutionary process of Allium species, our pathogen infection experiments and comparative metabolomic and genomic analyses showed that genes encoding enzymes involved in the metabolic pathway of Allium-specific flavor compounds may have evolved from an ancient uncharacterized plant defense system widely existing in many plant lineages but extensively boosted in alliums. Using in situ hybridization and spatial RNA sequencing, we obtained an overview of cell-type categorization and gene expression changes associated with spongy mesophyll cell expansion during onion bulb formation, thus indicating the functional roles of bulb formation genes.
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Affiliation(s)
- Fei Hao
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
- Center of Special Environmental Biomechanics & Biomedical Engineering, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - Xue Liu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Botong Zhou
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Zunzhe Tian
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Lina Zhou
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Hang Zong
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Jiyan Qi
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Juan He
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Yongting Zhang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Peng Zeng
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Qiong Li
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Kai Wang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Keke Xia
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China
| | - Xing Guo
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China
- BGI Research, Wuhan, China
| | - Li Li
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China
| | - Wenwen Shao
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China
| | | | - Shengkang Li
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China
| | - Haifeng Yang
- Lianyungang Academy of Agricultural Sciences, Lianyungang, China
| | - Linchong Hui
- Lianyungang Academy of Agricultural Sciences, Lianyungang, China
| | - Wei Chen
- Lianyungang Academy of Agricultural Sciences, Lianyungang, China
| | - Lixin Peng
- National Engineering Research Center for Non-Food Biorefinery, Guangxi Academy of Sciences, Nanning, China
| | - Feipeng Liu
- Frontiers Science Center for Flexible Electronics (FSCFE), Shaanxi Institute of Flexible Electronics (SIFE) & Shaanxi Institute of Biomedical Materials and Engineering (SIBME), Northwestern Polytechnical University, Xi'an, China
| | - Zi-Qiang Rong
- Frontiers Science Center for Flexible Electronics (FSCFE), Shaanxi Institute of Flexible Electronics (SIFE) & Shaanxi Institute of Biomedical Materials and Engineering (SIBME), Northwestern Polytechnical University, Xi'an, China
| | - Yingmei Peng
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Wenbo Zhu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - John A McCallum
- The New Zealand Institute for Plant and Food Research, Christchurch, New Zealand
| | - Zhen Li
- Department of Plant Biotechnology and Bioinformatics, Ghent University and VIB Center for Plant Systems Biology, Ghent, Belgium
| | - Xun Xu
- State Key Laboratory of Agricultural Genomics, BGI, Shenzhen, China.
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, China.
| | - Hui Yang
- Center of Special Environmental Biomechanics & Biomedical Engineering, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China.
| | | | - Wen Wang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
| | - Jing Cai
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
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35
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Wang W, Garg V, Varshney RK, Liu H. Single cell RNA-seq in phytohormone signaling: a promising future. TRENDS IN PLANT SCIENCE 2023; 28:1208-1210. [PMID: 37550122 DOI: 10.1016/j.tplants.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 08/09/2023]
Abstract
Phytohormone signaling regulates plant growth and development. Single cell RNA sequencing (scRNA-seq) provides unprecedented opportunities to decipher hormone-mediated spatiotemporal gene regulatory networks. In a recent study, Nolan et al. used time-series scRNA-seq to identify the cortex as a key site for brassinosteroid (BR)-mediated gene expression and revealed a signaling network during cell phase transition.
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Affiliation(s)
- Wenyi Wang
- College of Agriculture, South China Agriculture University, Guangzhou, Guangdong 510642, China
| | - Vanika Garg
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Rajeev K Varshney
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia.
| | - Hao Liu
- Guangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510640, China.
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36
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Tourdot E, Mauxion JP, Gonzalez N, Chevalier C. Endoreduplication in plant organogenesis: a means to boost fruit growth. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:6269-6284. [PMID: 37343125 DOI: 10.1093/jxb/erad235] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/16/2023] [Indexed: 06/23/2023]
Abstract
Endoreduplication is the major source of somatic endopolyploidy in higher plants, and leads to variation in cell ploidy levels due to iterative rounds of DNA synthesis in the absence of mitosis. Despite its ubiquitous occurrence in many plant organs, tissues, and cells, the physiological meaning of endoreduplication is not fully understood, although several roles during plant development have been proposed, mostly related to cell growth, differentiation, and specialization via transcriptional and metabolic reprogramming. Here, we review recent advances in our knowledge of the molecular mechanisms and cellular characteristics of endoreduplicated cells, and provide an overview of the multi-scale effects of endoreduplication on supporting growth in plant development. In addition, the effects of endoreduplication in fruit development are discussed, since it is highly prominent during fruit organogenesis where it acts as a morphogenetic factor supporting rapid fruit growth, as illustrated by case of the model fleshy fruit, tomato (Solanum lycopersicum).
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Affiliation(s)
- Edouard Tourdot
- Université de Bordeaux, INRAE, UMR1332 Biologie du Fruit et Pathologie, F-33140 Villenave d'Ornon, France
| | - Jean-Philippe Mauxion
- Université de Bordeaux, INRAE, UMR1332 Biologie du Fruit et Pathologie, F-33140 Villenave d'Ornon, France
| | - Nathalie Gonzalez
- Université de Bordeaux, INRAE, UMR1332 Biologie du Fruit et Pathologie, F-33140 Villenave d'Ornon, France
| | - Christian Chevalier
- Université de Bordeaux, INRAE, UMR1332 Biologie du Fruit et Pathologie, F-33140 Villenave d'Ornon, France
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37
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Wong C, Alabadí D, Blázquez MA. Spatial regulation of plant hormone action. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:6089-6103. [PMID: 37401809 PMCID: PMC10575700 DOI: 10.1093/jxb/erad244] [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: 04/04/2023] [Accepted: 06/30/2023] [Indexed: 07/05/2023]
Abstract
Although many plant cell types are capable of producing hormones, and plant hormones can in most cases act in the same cells in which they are produced, they also act as signaling molecules that coordinate physiological responses between different parts of the plant, indicating that their action is subject to spatial regulation. Numerous publications have reported that all levels of plant hormonal pathways, namely metabolism, transport, and perception/signal transduction, can help determine the spatial ranges of hormone action. For example, polar auxin transport or localized auxin biosynthesis contribute to creating a differential hormone accumulation across tissues that is instrumental for specific growth and developmental responses. On the other hand, tissue specificity of cytokinin actions has been proposed to be regulated by mechanisms operating at the signaling stages. Here, we review and discuss current knowledge about the contribution of the three levels mentioned above in providing spatial specificity to plant hormone action. We also explore how new technological developments, such as plant hormone sensors based on FRET (fluorescence resonance energy transfer) or single-cell RNA-seq, can provide an unprecedented level of resolution in defining the spatial domains of plant hormone action and its dynamics.
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Affiliation(s)
- Cynthia Wong
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), 46022-Valencia, Spain
| | - David Alabadí
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), 46022-Valencia, Spain
| | - Miguel A Blázquez
- Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), 46022-Valencia, Spain
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38
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Oliva M, Lister R. Exploring the identity of individual plant cells in space and time. THE NEW PHYTOLOGIST 2023; 240:61-67. [PMID: 37483019 PMCID: PMC10952157 DOI: 10.1111/nph.19153] [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: 02/02/2023] [Accepted: 06/17/2023] [Indexed: 07/25/2023]
Abstract
In recent years, single-cell genomics, coupled to imaging techniques, have become the state-of-the-art approach for characterising biological systems. In plant sciences, a variety of tissues and species have been profiled, providing an enormous quantity of data on cell identity at an unprecedented resolution, but what biological insights can be gained from such data sets? Using recently published studies in plant sciences, we will highlight how single-cell technologies have enabled a better comprehension of tissue organisation, cell fate dynamics in development or in response to various stimuli, as well as identifying key transcriptional regulators of cell identity. We discuss the limitations and technical hurdles to overcome, as well as future directions, and the promising use of single-cell omics to understand, predict, and manipulate plant development and physiology.
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Affiliation(s)
- Marina Oliva
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular SciencesUniversity of Western AustraliaPerthWA6009Australia
| | - Ryan Lister
- ARC Centre of Excellence in Plant Energy Biology, School of Molecular SciencesUniversity of Western AustraliaPerthWA6009Australia
- The Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical ResearchThe University of Western AustraliaPerthWA6009Australia
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39
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Zhang J, Ahmad M, Gao H. Application of single-cell multi-omics approaches in horticulture research. MOLECULAR HORTICULTURE 2023; 3:18. [PMID: 37789394 PMCID: PMC10521458 DOI: 10.1186/s43897-023-00067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/15/2023] [Indexed: 10/05/2023]
Abstract
Cell heterogeneity shapes the morphology and function of various tissues and organs in multicellular organisms. Elucidation of the differences among cells and the mechanism of intercellular regulation is essential for an in-depth understanding of the developmental process. In recent years, the rapid development of high-throughput single-cell transcriptome sequencing technologies has influenced the study of plant developmental biology. Additionally, the accuracy and sensitivity of tools used to study the epigenome and metabolome have significantly increased, thus enabling multi-omics analysis at single-cell resolution. Here, we summarize the currently available single-cell multi-omics approaches and their recent applications in plant research, review the single-cell based studies in fruit, vegetable, and ornamental crops, and discuss the potential of such approaches in future horticulture research.
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Affiliation(s)
- Jun Zhang
- Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Mayra Ahmad
- Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hongbo Gao
- Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
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40
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Cao S, He Z, Chen R, Luo Y, Fu LY, Zhou X, He C, Yan W, Zhang CY, Chen D. scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. PLANT COMMUNICATIONS 2023; 4:100631. [PMID: 37254480 PMCID: PMC10504592 DOI: 10.1016/j.xplc.2023.100631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/13/2023] [Accepted: 05/24/2023] [Indexed: 06/01/2023]
Abstract
Single-cell transcriptomics has been fully embraced in plant biological research and is revolutionizing our understanding of plant growth, development, and responses to external stimuli. However, single-cell transcriptomic data analysis in plants is not trivial, given that there is currently no end-to-end solution and that integration of various bioinformatics tools involves a large number of required dependencies. Here, we present scPlant, a versatile framework for exploring plant single-cell atlases with minimum input data provided by users. The scPlant pipeline is implemented with numerous functions for diverse analytical tasks, ranging from basic data processing to advanced demands such as cell-type annotation and deconvolution, trajectory inference, cross-species data integration, and cell-type-specific gene regulatory network construction. In addition, a variety of visualization tools are bundled in a built-in Shiny application, enabling exploration of single-cell transcriptomic data on the fly.
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Affiliation(s)
- Shanni Cao
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Zhaohui He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Ruidong Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yuting Luo
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Liang-Yu Fu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Chao He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Chen-Yu Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.
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41
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Zhu J, Cao X, Deng X. Epigenetic and transcription factors synergistically promote the high temperature response in plants. Trends Biochem Sci 2023; 48:788-800. [PMID: 37393166 DOI: 10.1016/j.tibs.2023.06.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 07/03/2023]
Abstract
Temperature is one of the main environmental cues affecting plant growth and development, and plants have evolved multiple mechanisms to sense and acclimate to high temperature. Emerging research has shown that transcription factors, epigenetic factors, and their coordination are essential for plant temperature responses and the resulting phenological adaptation. Here, we summarize recent advances in molecular and cellular mechanisms to understand how plants acclimate to high temperature and describe how plant meristems sense and integrate environmental signals. Furthermore, we lay out future directions for new technologies to reveal heterogeneous responses in different cell types thus improving plant environmental plasticity.
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Affiliation(s)
- Jiaping Zhu
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Xian Deng
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
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42
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Cao Y, Ma J, Han S, Hou M, Wei X, Zhang X, Zhang ZJ, Sun S, Ku L, Tang J, Dong Z, Zhu Z, Wang X, Zhou X, Zhang L, Li X, Long Y, Wan X, Duan C. Single-cell RNA sequencing profiles reveal cell type-specific transcriptional regulation networks conditioning fungal invasion in maize roots. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1839-1859. [PMID: 37349934 PMCID: PMC10440994 DOI: 10.1111/pbi.14097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/24/2023] [Accepted: 05/29/2023] [Indexed: 06/24/2023]
Abstract
Stalk rot caused by Fusarium verticillioides (Fv) is one of the most destructive diseases in maize production. The defence response of root system to Fv invasion is important for plant growth and development. Dissection of root cell type-specific response to Fv infection and its underlying transcription regulatory networks will aid in understanding the defence mechanism of maize roots to Fv invasion. Here, we reported the transcriptomes of 29 217 single cells derived from root tips of two maize inbred lines inoculated with Fv and mock condition, and identified seven major cell types with 21 transcriptionally distinct cell clusters. Through the weighted gene co-expression network analysis, we identified 12 Fv-responsive regulatory modules from 4049 differentially expressed genes (DEGs) that were activated or repressed by Fv infection in these seven cell types. Using a machining-learning approach, we constructed six cell type-specific immune regulatory networks by integrating Fv-induced DEGs from the cell type-specific transcriptomes, 16 known maize disease-resistant genes, five experimentally validated genes (ZmWOX5b, ZmPIN1a, ZmPAL6, ZmCCoAOMT2, and ZmCOMT), and 42 QTL or QTN predicted genes that are associated with Fv resistance. Taken together, this study provides not only a global view of maize cell fate determination during root development but also insights into the immune regulatory networks in major cell types of maize root tips at single-cell resolution, thus laying the foundation for dissecting molecular mechanisms underlying disease resistance in maize.
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Affiliation(s)
- Yanyong Cao
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
- Zhongzhi International Institute of Agricultural Biosciences, Research Institute of Biology and AgricultureUniversity of Science and Technology BeijingBeijingChina
- The Shennong LaboratoryZhengzhouChina
| | - Juan Ma
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
| | - Shengbo Han
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
- College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Mengwei Hou
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
| | - Xun Wei
- Zhongzhi International Institute of Agricultural Biosciences, Research Institute of Biology and AgricultureUniversity of Science and Technology BeijingBeijingChina
| | - Xingrui Zhang
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Zhanyuan J. Zhang
- Division of Plant Sciences, Plant Transformation Core FacilityUniversity of MissouriColumbiaMissouriUSA
- Present address:
Inari Agriculture, Inc.West LafayetteIndiana47906USA
| | - Suli Sun
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Lixia Ku
- The Shennong LaboratoryZhengzhouChina
- College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Jihua Tang
- The Shennong LaboratoryZhengzhouChina
- College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Zhenying Dong
- Zhongzhi International Institute of Agricultural Biosciences, Research Institute of Biology and AgricultureUniversity of Science and Technology BeijingBeijingChina
| | - Zhendong Zhu
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Xiaoming Wang
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Xiaoxiao Zhou
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
| | - Lili Zhang
- Institute of Cereal CropsHenan Academy of Agricultural SciencesZhengzhouChina
- College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Xiangdong Li
- Department of Plant Pathology, College of Plant ProtectionShandong Agricultural UniversityTai'anChina
| | - Yan Long
- Zhongzhi International Institute of Agricultural Biosciences, Research Institute of Biology and AgricultureUniversity of Science and Technology BeijingBeijingChina
| | - Xiangyuan Wan
- Zhongzhi International Institute of Agricultural Biosciences, Research Institute of Biology and AgricultureUniversity of Science and Technology BeijingBeijingChina
| | - Canxing Duan
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
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43
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Zhu X, Xu Z, Wang G, Cong Y, Yu L, Jia R, Qin Y, Zhang G, Li B, Yuan D, Tu L, Yang X, Lindsey K, Zhang X, Jin S. Single-cell resolution analysis reveals the preparation for reprogramming the fate of stem cell niche in cotton lateral meristem. Genome Biol 2023; 24:194. [PMID: 37626404 PMCID: PMC10463415 DOI: 10.1186/s13059-023-03032-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Somatic embryogenesis is a major process for plant regeneration. However, cell communication and the gene regulatory network responsible for cell reprogramming during somatic embryogenesis are still largely unclear. Recent advances in single-cell technologies enable us to explore the mechanism of plant regeneration at single-cell resolution. RESULTS We generate a high-resolution single-cell transcriptomic landscape of hypocotyl tissue from the highly regenerable cotton genotype Jin668 and the recalcitrant TM-1. We identify nine putative cell clusters and 23 cluster-specific marker genes for both cultivars. We find that the primary vascular cell is the major cell type that undergoes cell fate transition in response to external stimulation. Further developmental trajectory and gene regulatory network analysis of these cell clusters reveals that a total of 41 hormone response-related genes, including LAX2, LAX1, and LOX3, exhibit different expression patterns in the primary xylem and cambium region of Jin668 and TM-1. We also identify novel genes, including CSEF, PIS1, AFB2, ATHB2, PLC2, and PLT3, that are involved in regeneration. We demonstrate that LAX2, LAX1 and LOX3 play important roles in callus proliferation and plant regeneration by CRISPR/Cas9 editing and overexpression assay. CONCLUSIONS This study provides novel insights on the role of the regulatory network in cell fate transition and reprogramming during plant regeneration driven by somatic embryogenesis.
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Affiliation(s)
- Xiangqian Zhu
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Zhongping Xu
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Guanying Wang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Yulong Cong
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Lu Yu
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Ruoyu Jia
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Yuan Qin
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Guangyu Zhang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Bo Li
- Xinjiang Key Laboratory of Crop Biotechnology, Institute of Nuclear and Biological Technology, Xinjiang Academy of Agricultural Sciences, Wulumuqi, 830000, Xinjiang, China
| | - Daojun Yuan
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Lili Tu
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xiyan Yang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Keith Lindsey
- Department of Biosciences, Durham University, Durham, DH1 3LE, UK
| | - Xianlong Zhang
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Shuangxia Jin
- Hubei Hongshan Laboratory, National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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44
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Chen C, Ge Y, Lu L. Opportunities and challenges in the application of single-cell and spatial transcriptomics in plants. FRONTIERS IN PLANT SCIENCE 2023; 14:1185377. [PMID: 37636094 PMCID: PMC10453814 DOI: 10.3389/fpls.2023.1185377] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/26/2023] [Indexed: 08/29/2023]
Abstract
Single-cell and spatial transcriptomics have diverted researchers' attention from the multicellular level to the single-cell level and spatial information. Single-cell transcriptomes provide insights into the transcriptome at the single-cell level, whereas spatial transcriptomes help preserve spatial information. Although these two omics technologies are helpful and mature, further research is needed to ensure their widespread applicability in plant studies. Reviewing recent research on plant single-cell or spatial transcriptomics, we compared the different experimental methods used in various plants. The limitations and challenges are clear for both single-cell and spatial transcriptomic analyses, such as the lack of applicability, spatial information, or high resolution. Subsequently, we put forth further applications, such as cross-species analysis of roots at the single-cell level and the idea that single-cell transcriptome analysis needs to be combined with other omics analyses to achieve superiority over individual omics analyses. Overall, the results of this review suggest that combining single-cell transcriptomics, spatial transcriptomics, and spatial element distribution can provide a promising research direction, particularly for plant research.
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Affiliation(s)
- Ce Chen
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Yining Ge
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
| | - Lingli Lu
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Agricultural Resource and Environment of Zhejiang Province, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China
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45
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Li H, Song K, Zhang X, Wang D, Dong S, Liu Y, Yang L. Application of Multi-Perspectives in Tea Breeding and the Main Directions. Int J Mol Sci 2023; 24:12643. [PMID: 37628823 PMCID: PMC10454712 DOI: 10.3390/ijms241612643] [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] [Received: 07/03/2023] [Revised: 07/29/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Tea plants are an economically important crop and conducting research on tea breeding contributes to enhancing the yield and quality of tea leaves as well as breeding traits that satisfy the requirements of the public. This study reviews the current status of tea plants germplasm resources and their utilization, which has provided genetic material for the application of multi-omics, including genomics and transcriptomics in breeding. Various molecular markers for breeding were designed based on multi-omics, and available approaches in the direction of high yield, quality and resistance in tea plants breeding are proposed. Additionally, future breeding of tea plants based on single-cellomics, pangenomics, plant-microbe interactions and epigenetics are proposed and provided as references. This study aims to provide inspiration and guidance for advancing the development of genetic breeding in tea plants, as well as providing implications for breeding research in other crops.
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Affiliation(s)
| | | | | | | | | | | | - Long Yang
- College of Plant Protection and Agricultural Big-Data Research Center, Shandong Agricultural University, Tai’an 271018, China
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46
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Wang L, Wan MC, Liao RY, Xu J, Xu ZG, Xue HC, Mai YX, Wang JW. The maturation and aging trajectory of Marchantia polymorpha at single-cell resolution. Dev Cell 2023; 58:1429-1444.e6. [PMID: 37321217 DOI: 10.1016/j.devcel.2023.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 04/13/2023] [Accepted: 05/19/2023] [Indexed: 06/17/2023]
Abstract
Bryophytes represent a sister to the rest of land plants. Despite their evolutionary importance and relatively simple body plan, a comprehensive understanding of the cell types and transcriptional states that underpin the temporal development of bryophytes has not been achieved. Using time-resolved single-cell RNA sequencing, we define the cellular taxonomy of Marchantia polymorpha across asexual reproduction phases. We identify two maturation and aging trajectories of the main plant body of M. polymorpha at single-cell resolution: the gradual maturation of tissues and organs along the tip-to-base axis of the midvein and the progressive decline of meristem activities in the tip along the chronological axis. Specifically, we observe that the latter aging axis is temporally correlated with the formation of clonal propagules, suggesting an ancient strategy to optimize allocation of resources to producing offspring. Our work thus provides insights into the cellular heterogeneity that underpins the temporal development and aging of bryophytes.
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Affiliation(s)
- Long Wang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Mu-Chun Wan
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ren-Yu Liao
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Jie Xu
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China
| | - Zhou-Geng Xu
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Hao-Chen Xue
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; University of Chinese Academy of Sciences, Shanghai 200032, China
| | - Yan-Xia Mai
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; Core Facility Center of CEMPS, SIPPE, CAS, Shanghai 200032, China
| | - Jia-Wei Wang
- National Key Laboratory of Plant Molecular Genetics (NKLPMG), CAS Center for Excellence in Molecular Plant Sciences (CEMPS), Institute of Plant Physiology and Ecology (SIPPE), Chinese Academy of Sciences (CAS), Shanghai 200032, China; School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
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47
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Auge G, Hankofer V, Groth M, Antoniou-Kourounioti R, Ratikainen I, Lampei C. Plant environmental memory: implications, mechanisms and opportunities for plant scientists and beyond. AOB PLANTS 2023; 15:plad032. [PMID: 37415723 PMCID: PMC10321398 DOI: 10.1093/aobpla/plad032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/01/2023] [Indexed: 07/08/2023]
Abstract
Plants are extremely plastic organisms. They continuously receive and integrate environmental information and adjust their growth and development to favour fitness and survival. When this integration of information affects subsequent life stages or the development of subsequent generations, it can be considered an environmental memory. Thus, plant memory is a relevant mechanism by which plants respond adaptively to different environments. If the cost of maintaining the response is offset by its benefits, it may influence evolutionary trajectories. As such, plant memory has a sophisticated underlying molecular mechanism with multiple components and layers. Nonetheless, when mathematical modelling is combined with knowledge of ecological, physiological, and developmental effects as well as molecular mechanisms as a tool for understanding plant memory, the combined potential becomes unfathomable for the management of plant communities in natural and agricultural ecosystems. In this review, we summarize recent advances in the understanding of plant memory, discuss the ecological requirements for its evolution, outline the multilayered molecular network and mechanisms required for accurate and fail-proof plant responses to variable environments, point out the direct involvement of the plant metabolism and discuss the tremendous potential of various types of models to further our understanding of the plant's environmental memory. Throughout, we emphasize the use of plant memory as a tool to unlock the secrets of the natural world.
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Affiliation(s)
| | - Valentin Hankofer
- Institute of Biochemical Plant Pathology, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Martin Groth
- Institute of Functional Epigenetics, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Neuherberg, Germany
| | - Rea Antoniou-Kourounioti
- School of Molecular Biosciences, University of Glasgow, Sir James Black Building, University Ave, Glasgow G12 8QQ, UK
| | - Irja Ratikainen
- Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Realfagbygget, NO-7491 Trondheim, Norway
| | - Christian Lampei
- Department of Biology (FB17), Plant Ecology and Geobotany Group, University of Marburg, Karl-von-Frisch-Straße 8, 35032 Marburg, Germany
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48
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Liang X, Ma Z, Ke Y, Wang J, Wang L, Qin B, Tang C, Liu M, Xian X, Yang Y, Wang M, Zhang Y. Single-cell transcriptomic analyses reveal cellular and molecular patterns of rubber tree response to early powdery mildew infection. PLANT, CELL & ENVIRONMENT 2023; 46:2222-2237. [PMID: 36929646 DOI: 10.1111/pce.14585] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/06/2023] [Accepted: 03/14/2023] [Indexed: 06/08/2023]
Abstract
As a perennial woody plant, the rubber tree (Hevea brasiliensis) must adapt to various environmental challenges through gene expression in multiple cell types. It is still unclear how genes in this species are expressed at the cellular level and the precise mechanisms by which cells respond transcriptionally to environmental stimuli, especially in the case of pathogen infection. Here, we characterized the transcriptomes in Hevea leaves during early powdery mildew infection using single-cell RNA sequencing. We identified 10 cell types and constructed the first single-cell atlas of Hevea leaves. Distinct gene expression patterns of the cell clusters were observed under powdery mildew infection, which was especially significant in the epidermal cells. Most of the genes involved in host-pathogen interactions in epidermal cells exhibited a pattern of dramatically increased expression with increasing pseudotime. Interestingly, we found that the HbCNL2 gene, encoding a nucleotide-binding leucine-rich repeat protein, positively modulated the defence of rubber leaves against powdery mildew. Overexpression of the HbCNL2 gene triggered a typical cell death phenotype in tobacco leaves and a higher level of reactive oxygen species in the protoplasts of Hevea leaves. The HbCNL2 protein was located in the cytomembrane and nucleus, and its leucine-rich repeat domain interacted with the histidine kinase-like ATPase domain of the molecular chaperone HbHSP90 in the nucleus. Collectively, our results provide the first observation of the cellular and molecular responses of Hevea leaves to biotrophic pathogen infection and can guide the identification of disease-resistance genes in this important tree species.
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Affiliation(s)
- Xiaoyu Liang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Zhan Ma
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Yuhang Ke
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Jiali Wang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Lifeng Wang
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Bi Qin
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Chaorong Tang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Mingyang Liu
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Xuemei Xian
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Ye Yang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Meng Wang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
| | - Yu Zhang
- College of Tropical Crops, Sanya Nanfan Research Institute, College of Plant Protection, Hainan University, Haikou, China
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49
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D'Agostino LW, Yong-Villalobos L, Herrera-Estrella L, Patil GB. Development of High-Quality Nuclei Isolation to Study Plant Root-Microbe Interaction for Single-Nuclei Transcriptomic Sequencing in Soybean. PLANTS (BASEL, SWITZERLAND) 2023; 12:2466. [PMID: 37447027 DOI: 10.3390/plants12132466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/22/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023]
Abstract
Single-nucleus RNA sequencing (sNucRNA-seq) is an emerging technology that has been rapidly adopted and demonstrated to be a powerful tool for detailed characterization of each cell- and sub cell-types in complex tissues of higher eukaryotes. sNucRNA-seq has also been used to dissect cell-type-specific transcriptional responses to environmental or developmental signals. In plants, this technology is being utilized to identify cell-type-specific trajectories for the study of several tissue types and important traits, including the single-cell dissection of the genetic determinants regulating plant-microbe interactions. The isolation of high-quality nuclei is one of the prerequisite steps to obtain high-quality sNucRNA-seq results. Although nuclei isolation from several plant tissues is well established, this process is highly troublesome when plant tissues are associated with beneficial or pathogenic microbes. For example, root tissues colonized with rhizobium bacteria (nodules), leaf tissue infected with bacterial or fungal pathogens, or roots infected with nematodes pose critical challenges to the isolation of high-quality nuclei and use for downstream application. Therefore, isolation of microbe-free, high-quality nuclei from plant tissues are necessary to avoid clogging or interference with the microfluidic channel (e.g., 10× Genomics) or particle-templated emulsion that are used in sNucRNA-seq platforms. Here, we developed a simple, effective, and efficient method to isolate high-quality nuclei from soybean roots and root nodules, followed by washing out bacterial contamination. This protocol has been designed to be easily implemented into any lab environment, and it can also be scaled up for use with multiple samples and applicable to a variety of samples with the presence of microbes. We validated this protocol by successfully generating a barcoded library using the 10× Genomics microfluidic platform from tissue subjected to this procedure. This workflow was developed to provide an accessible alternative to instrument-based approaches (e.g., fluorescent cell sorting) and will expand the ability of researchers to perform experiments such as sNucRNA-seq and sNucATAC-seq on inherently heterogeneous plant tissue samples.
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Affiliation(s)
- Leonidas W D'Agostino
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
| | - Lenin Yong-Villalobos
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
| | - Luis Herrera-Estrella
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
- Unidad de Genomica Avanzada, Centro de Investigacion y de Estudios Avanzados, Instituto Politecnico Nacional, Irapuato 36821, Mexico
| | - Gunvant B Patil
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
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50
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Sun Y, Shim WJ, Shen S, Sinniah E, Pham D, Su Z, Mizikovsky D, White MD, Ho JK, Nguyen Q, Bodén M, Palpant N. Inferring cell diversity in single cell data using consortium-scale epigenetic data as a biological anchor for cell identity. Nucleic Acids Res 2023; 51:e62. [PMID: 37125641 PMCID: PMC10287941 DOI: 10.1093/nar/gkad307] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 04/28/2023] [Indexed: 05/02/2023] Open
Abstract
Methods for cell clustering and gene expression from single-cell RNA sequencing (scRNA-seq) data are essential for biological interpretation of cell processes. Here, we present TRIAGE-Cluster which uses genome-wide epigenetic data from diverse bio-samples to identify genes demarcating cell diversity in scRNA-seq data. By integrating patterns of repressive chromatin deposited across diverse cell types with weighted density estimation, TRIAGE-Cluster determines cell type clusters in a 2D UMAP space. We then present TRIAGE-ParseR, a machine learning method which evaluates gene expression rank lists to define gene groups governing the identity and function of cell types. We demonstrate the utility of this two-step approach using atlases of in vivo and in vitro cell diversification and organogenesis. We also provide a web accessible dashboard for analysis and download of data and software. Collectively, genome-wide epigenetic repression provides a versatile strategy to define cell diversity and study gene regulation of scRNA-seq data.
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Affiliation(s)
- Yuliangzi Sun
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Woo Jun Shim
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Sophie Shen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Enakshi Sinniah
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Duy Pham
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Zezhuo Su
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China
| | - Dalia Mizikovsky
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Melanie D White
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Joshua W K Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong SAR, China
| | - Quan Nguyen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Mikael Bodén
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, Australia
| | - Nathan J Palpant
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
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