Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement
Single-cell and spatial transcriptomics technologies have significantly advanced our understanding of the molecular mechanisms underlying crop biology. This review presents an update on the application of these technologies in crop improvement. The heterogeneity of different cell populations within...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/13/24/3476 |
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| _version_ | 1846103104514162688 |
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| author | Yuzhao Hu Linkan Dash Gregory May Nagesh Sardesai Stéphane Deschamps |
| author_facet | Yuzhao Hu Linkan Dash Gregory May Nagesh Sardesai Stéphane Deschamps |
| author_sort | Yuzhao Hu |
| collection | DOAJ |
| description | Single-cell and spatial transcriptomics technologies have significantly advanced our understanding of the molecular mechanisms underlying crop biology. This review presents an update on the application of these technologies in crop improvement. The heterogeneity of different cell populations within a tissue plays a crucial role in the coordinated response of an organism to its environment. Single-cell transcriptomics enables the dissection of this heterogeneity, offering insights into the cell-specific transcriptomic responses of plants to various environmental stimuli. Spatial transcriptomics technologies complement single-cell approaches by preserving the spatial context of gene expression profiles, allowing for the in situ localization of transcripts. Together, single-cell and spatial transcriptomics facilitate the discovery of novel genes and gene regulatory networks that can be targeted for genetic manipulation and breeding strategies aimed at enhancing crop yield, quality, and resilience. This review highlights significant findings from recent studies, discusses the expanding roles of these technologies, and explores future opportunities for their application in crop improvement. |
| format | Article |
| id | doaj-art-cb43ff73e5ac4df7acb33e275fe2ed41 |
| institution | Kabale University |
| issn | 2223-7747 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj-art-cb43ff73e5ac4df7acb33e275fe2ed412024-12-27T14:47:40ZengMDPI AGPlants2223-77472024-12-011324347610.3390/plants13243476Harnessing Single-Cell and Spatial Transcriptomics for Crop ImprovementYuzhao Hu0Linkan Dash1Gregory May2Nagesh Sardesai3Stéphane Deschamps4Corteva Agriscience, Johnston, IA 50131, USACorteva Agriscience, Johnston, IA 50131, USACorteva Agriscience, Johnston, IA 50131, USACorteva Agriscience, Johnston, IA 50131, USACorteva Agriscience, Johnston, IA 50131, USASingle-cell and spatial transcriptomics technologies have significantly advanced our understanding of the molecular mechanisms underlying crop biology. This review presents an update on the application of these technologies in crop improvement. The heterogeneity of different cell populations within a tissue plays a crucial role in the coordinated response of an organism to its environment. Single-cell transcriptomics enables the dissection of this heterogeneity, offering insights into the cell-specific transcriptomic responses of plants to various environmental stimuli. Spatial transcriptomics technologies complement single-cell approaches by preserving the spatial context of gene expression profiles, allowing for the in situ localization of transcripts. Together, single-cell and spatial transcriptomics facilitate the discovery of novel genes and gene regulatory networks that can be targeted for genetic manipulation and breeding strategies aimed at enhancing crop yield, quality, and resilience. This review highlights significant findings from recent studies, discusses the expanding roles of these technologies, and explores future opportunities for their application in crop improvement.https://www.mdpi.com/2223-7747/13/24/3476single-cell transcriptomicsspatial transcriptomicscrop improvementcrop transformationabiotic stressdisease resistance |
| spellingShingle | Yuzhao Hu Linkan Dash Gregory May Nagesh Sardesai Stéphane Deschamps Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement Plants single-cell transcriptomics spatial transcriptomics crop improvement crop transformation abiotic stress disease resistance |
| title | Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement |
| title_full | Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement |
| title_fullStr | Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement |
| title_full_unstemmed | Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement |
| title_short | Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement |
| title_sort | harnessing single cell and spatial transcriptomics for crop improvement |
| topic | single-cell transcriptomics spatial transcriptomics crop improvement crop transformation abiotic stress disease resistance |
| url | https://www.mdpi.com/2223-7747/13/24/3476 |
| work_keys_str_mv | AT yuzhaohu harnessingsinglecellandspatialtranscriptomicsforcropimprovement AT linkandash harnessingsinglecellandspatialtranscriptomicsforcropimprovement AT gregorymay harnessingsinglecellandspatialtranscriptomicsforcropimprovement AT nageshsardesai harnessingsinglecellandspatialtranscriptomicsforcropimprovement AT stephanedeschamps harnessingsinglecellandspatialtranscriptomicsforcropimprovement |