Transcriptomics

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Single-plant-omics reveals the cascade of transcriptional changes during the vegetative-to-reproductive transition


ABSTRACT: A population of wild type plants can contain individuals with drastically different flowering times, due to developmental asynchrony. We performed RNA-seq on individual plants from a large population of wild type (Ws-2) Arabidopsis thaliana, sampling a large number (~70) of replicates at one timepoint during the flowering transition. We have characterised a major transcriptomic switch between plants before and after bolting. Applying methods used in single-cell RNA-seq, we used this data to order the plants by their predicted age – which is referred to as a pseudo-time series. In contrast to a traditional RNA-seq time series, this allows us to view changes in gene expression at a fine temporal scale. Importantly, we can infer the order that transcription factors ‘switch on’ during the vegetative to floral transition.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE242681 | GEO | 2023/09/11

REPOSITORIES: GEO

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