Evidence map›Paper›PMID 39121073›Full record

ArticleThe Plant cell2024

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

Ethan J Redmond, James Ronald, Seth J Davis, Daphne Ezer

Abstract read
In one paragraph

Article in The Plant cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ethan J RedmondDepartment of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK.ORCID 0000-0001-9105-0609
James RonaldDepartment of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK.ORCID 0000-0002-8847-0378
Seth J DavisDepartment of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK.ORCID 0000-0001-5928-9046
Daphne EzerDepartment of Biology, University of York, Wentworth Way, Heslington, York YO10 5DD, UK.ORCID 0000-0002-1685-6909

Funding

Royal Society RGS\R2\212345UK Biotechnology and Biological Sciences Research Council D.E. and S.J.D.: BB/V006665/1
6 · The paper itself

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.

Indexed as

ArabidopsisGene Expression Regulation, PlantGene Expression ProfilingPlant LeavesReproductionTranscription, GeneticTranscriptome

Identifiers

PMID39121073
PMCPMC11449079

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.