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Swift J, Greenham K, Ecker JR, Coruzzi GM, McClung CR. The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 109:764-778. [PMID: 34797944 PMCID: PMC9215356 DOI: 10.1111/tpj.15589] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/10/2021] [Accepted: 11/15/2021] [Indexed: 05/26/2023]
Abstract
As sessile organisms, plants are finely tuned to respond dynamically to developmental, circadian and environmental cues. Genome-wide studies investigating these types of cues have uncovered the intrinsically different ways they can impact gene expression over time. Recent advances in single-cell sequencing and time-based bioinformatic algorithms are now beginning to reveal the dynamics of these time-based responses within individual cells and plant tissues. Here, we review what these techniques have revealed about the spatiotemporal nature of gene regulation, paying particular attention to the three distinct ways in which plant tissues are time sensitive. (i) First, we discuss how studying plant cell identity can reveal developmental trajectories hidden in pseudotime. (ii) Next, we present evidence that indicates that plant cell types keep their own local time through tissue-specific regulation of the circadian clock. (iii) Finally, we review what determines the speed of environmental signaling responses, and how they can be contingent on developmental and circadian time. By these means, this review sheds light on how these different scales of time-based responses can act with tissue and cell-type specificity to elicit changes in whole plant systems.
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Affiliation(s)
- Joseph Swift
- Plant Biology Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Kathleen Greenham
- Department of Plant and Microbial Biology, University of Minnesota, St Paul, MN 55108, USA
| | - Joseph R. Ecker
- Plant Biology Laboratory, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
- Howard Hughes Medical Institute, The Salk Institute for Biological Studies, 10010 N Torrey Pines Rd, La Jolla, CA 92037, USA
| | - Gloria M. Coruzzi
- Department of Biology, Center for Genomics and Systems Biology, New York University, NY, USA
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Minne M, Ke Y, Saura-Sanchez M, De Rybel B. Advancing root developmental research through single-cell technologies. CURRENT OPINION IN PLANT BIOLOGY 2022; 65:102113. [PMID: 34562694 PMCID: PMC7611778 DOI: 10.1016/j.pbi.2021.102113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/09/2021] [Accepted: 08/13/2021] [Indexed: 06/12/2023]
Abstract
Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root transcriptomics data, but we are still only scratching the surface of its full potential. Despite the challenges that remain in the field, the orderly aligned structure of the Arabidopsis root meristem makes it specifically suitable for lineage tracing and trajectory analysis. These methods will become even more potent by increasing resolution and specificity using tissue-specific single-cell RNA-sequencing and spatial transcriptomics. Feeding multiple single-cell omics data sets into single-cell gene regulatory networks will accelerate the discovery of regulators of root development in multiple species. By providing transcriptome atlases for virtually any species, single-cell technologies could tempt many root developmental biologists to move beyond the comfort of the well-known Arabidopsis root meristem.
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Affiliation(s)
- Max Minne
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Yuji Ke
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Maite Saura-Sanchez
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Bert De Rybel
- Ghent University, Department of Plant Biotechnology and Bioinformatics, Technologiepark 71, 9052, Ghent, Belgium; VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium.
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Kiryushkin AS, Ilina EL, Guseva ED, Pawlowski K, Demchenko KN. Hairy CRISPR: Genome Editing in Plants Using Hairy Root Transformation. PLANTS (BASEL, SWITZERLAND) 2021; 11:51. [PMID: 35009056 PMCID: PMC8747350 DOI: 10.3390/plants11010051] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/15/2021] [Accepted: 12/20/2021] [Indexed: 05/27/2023]
Abstract
CRISPR/Cas-mediated genome editing is a powerful tool of plant functional genomics. Hairy root transformation is a rapid and convenient approach for obtaining transgenic roots. When combined, these techniques represent a fast and effective means of studying gene function. In this review, we outline the current state of the art reached by the combination of these approaches over seven years. Additionally, we discuss the origins of different Agrobacterium rhizogenes strains that are widely used for hairy root transformation; the components of CRISPR/Cas vectors, such as the promoters that drive Cas or gRNA expression, the types of Cas nuclease, and selectable and screenable markers; and the application of CRISPR/Cas genome editing in hairy roots. The modification of the already known vector pKSE401 with the addition of the rice translational enhancer OsMac3 and the gene encoding the fluorescent protein DsRed1 is also described.
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Affiliation(s)
- Alexey S. Kiryushkin
- Laboratory of Cellular and Molecular Mechanisms of Plant Development, Komarov Botanical Institute, Russian Academy of Sciences, 197376 Saint Petersburg, Russia; (E.L.I.); (E.D.G.)
| | - Elena L. Ilina
- Laboratory of Cellular and Molecular Mechanisms of Plant Development, Komarov Botanical Institute, Russian Academy of Sciences, 197376 Saint Petersburg, Russia; (E.L.I.); (E.D.G.)
| | - Elizaveta D. Guseva
- Laboratory of Cellular and Molecular Mechanisms of Plant Development, Komarov Botanical Institute, Russian Academy of Sciences, 197376 Saint Petersburg, Russia; (E.L.I.); (E.D.G.)
| | - Katharina Pawlowski
- Department of Ecology, Environment and Plant Sciences, Stockholm University, 10691 Stockholm, Sweden
| | - Kirill N. Demchenko
- Laboratory of Cellular and Molecular Mechanisms of Plant Development, Komarov Botanical Institute, Russian Academy of Sciences, 197376 Saint Petersburg, Russia; (E.L.I.); (E.D.G.)
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Gaarslev N, Swinnen G, Soyk S. Meristem transitions and plant architecture-learning from domestication for crop breeding. PLANT PHYSIOLOGY 2021; 187:1045-1056. [PMID: 34734278 PMCID: PMC8566237 DOI: 10.1093/plphys/kiab388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 07/19/2021] [Indexed: 05/20/2023]
Abstract
Genetic networks that regulate meristem transitions were recurrent targets of selection during crop domestication and allow fine-tuning of plant architecture for improved crop productivity.
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Affiliation(s)
- Natalia Gaarslev
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Gwen Swinnen
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Sebastian Soyk
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Author for communication:
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Shahan R, Nolan TM, Benfey PN. Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6679-6686. [PMID: 34018001 PMCID: PMC8513161 DOI: 10.1093/jxb/erab228] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/18/2021] [Indexed: 05/06/2023]
Abstract
A fundamental question in developmental biology is how the progeny of stem cells become differentiated tissues. The Arabidopsis root is a tractable model to address this question due to its simple organization and defined cell lineages. In particular, the zone of dividing cells at the root tip-the root apical meristem-presents an opportunity to map the gene regulatory networks underlying stem cell niche maintenance, tissue patterning, and cell identity acquisition. To identify molecular regulators of these processes, studies over the last 20 years employed global profiling of gene expression patterns. However, these technologies are prone to information loss due to averaging gene expression signatures over multiple cell types and/or developmental stages. Recently developed high-throughput methods to profile gene expression at single-cell resolution have been successfully applied to plants. Here, we review insights from the first published single-cell mRNA sequencing and chromatin accessibility datasets generated from Arabidopsis roots. These studies successfully reconstruct developmental trajectories, phenotype cell identity mutants at unprecedented resolution, and reveal cell type-specific responses to environmental stimuli. The experimental insight gained from Arabidopsis paves the way to profile roots from additional species.
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Affiliation(s)
- Rachel Shahan
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Trevor M Nolan
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Philip N Benfey
- Department of Biology, Duke University, Durham, NC 27708, USA
- Howard Hughes Medical Institute, Duke University, Durham, NC 27708, USA
- Correspondence:
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Seyfferth C, Renema J, Wendrich JR, Eekhout T, Seurinck R, Vandamme N, Blob B, Saeys Y, Helariutta Y, Birnbaum KD, De Rybel B. Advances and Opportunities in Single-Cell Transcriptomics for Plant Research. ANNUAL REVIEW OF PLANT BIOLOGY 2021; 72:847-866. [PMID: 33730513 PMCID: PMC7611048 DOI: 10.1146/annurev-arplant-081720-010120] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Single-cell approaches are quickly changing our view on biological systems by increasing the spatiotemporal resolution of our analyses to the level of the individual cell. The field of plant biology has fully embraced single-cell transcriptomics and is rapidly expanding the portfolio of available technologies and applications. In this review, we give an overview of the main advances in plant single-cell transcriptomics over the past few years and provide the reader with an accessible guideline covering all steps, from sample preparation to data analysis. We end by offering a glimpse of how these technologies will shape and accelerate plant-specific research in the near future.
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Affiliation(s)
- Carolin Seyfferth
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium;
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
| | - Jim Renema
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium;
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
| | - Jos R Wendrich
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium;
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
| | - Thomas Eekhout
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium;
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
| | - Ruth Seurinck
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
| | - Niels Vandamme
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
| | - Bernhard Blob
- The Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom
- Viikki Plant Science Centre, HiLIFE/Organismal and Evolutionary Biology Research Program, Institute of Biotechnology, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Yvan Saeys
- Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9052 Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Ghent, Belgium
| | - Yrjo Helariutta
- The Sainsbury Laboratory, University of Cambridge, Cambridge CB2 1LR, United Kingdom
- Viikki Plant Science Centre, HiLIFE/Organismal and Evolutionary Biology Research Program, Institute of Biotechnology, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Kenneth D Birnbaum
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA;
| | - Bert De Rybel
- Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium;
- VIB Center for Plant Systems Biology, 9052 Ghent, Belgium
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