Ezer, Daphne, Davis, Seth Jon orcid.org/0000-0001-5928-9046, Redmond, Ethan et al. (1 more author) (2024) Single-plant-omics reveals the cascade of transcriptional changes during the vegetative-to-reproductive transition. The Plant Cell. koae226. 4594–4606. ISSN: 1532-298X
Abstract
Plants undergo rapid developmental transitions, which occur contemporaneously with gradual changes in physiology. Moreover, individual plants within a population undergo developmental transitions asynchronously. Single-plant-omics has the potential to distinguish between transcriptional events that are associated with these binary and continuous processes. Furthermore, we can use single-plant-omics to order individual plants by their intrinsic biological age, providing a high-resolution transcriptional time series. We performed RNA-seq on leaves from a large population of wild-type Arabidopsis (Arabidopsis thaliana) during the vegetative-to-reproductive transition. Though most transcripts were differentially expressed between bolted and unbolted plants, some regulators were more closely associated with leaf size and biomass. Using a pseudotime inference algorithm, we determined that some senescence-associated processes, such as the reduction in ribosome biogenesis, were evident in the transcriptome before a bolt was visible. Even in this near-isogenic population, some variants are associated with developmental traits. These results support the use of single-plant-omics to uncover rapid transcriptional dynamics by exploiting developmental asynchrony.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2024. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) The University of York > Faculty of Sciences (York) > Chemistry (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Jul 2025 15:00 |
Last Modified: | 28 Jul 2025 15:00 |
Published Version: | https://doi.org/10.1093/plcell/koae226 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1093/plcell/koae226 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229759 |