Evidence map›Paper›PMID 42483513›Full record

ReviewFrontiers in plant science2026

Seed function in space and time: how spatial transcriptomics completes the picture.

Tori Millsteed, Robert J Henry

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Tori MillsteedQueensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, Brisbane, QLD, Australia.
Robert J HenryAustralian Research Council (ARC), Centre of Excellence for Plant Success in Nature and Agriculture, University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatiotemporal gene expression is the underlying determinant of how living things grow and function, including the processes of seed development and germination. Understanding how these regulatory pathways work in space and time is critical to harnessing the functional diversity of the components of the seed and enhancing beneficial traits. The recent development of spatial transcriptomics technologies has greatly added to the knowledge of gene expression within plant and animal tissues but has only been applied in a handful of studies to seeds. Here we conduct a review of the literature on spatial omics research in developing and germinating seeds of wheat, barley, maize, rice, wild soybean and Arabidopsis, highlighting the major contributions to the field and the challenges faced. We outline how spatial transcriptomics has significantly improved the scale and resolution of gene expression analyses, revealing how the transcriptome explains the complete tissue architecture of the seed. This has resulted in the discovery of novel cell-subtypes, spatiotemporal gene expression gradients, and coordinated nutrient transport across tissues, completing the picture of seed composition in greater detail than could previously be achieved.

Indexed as

cell-typeembryoendospermseed coattissue-type

Identifiers

PMID42483513
PMCPMC13385329

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.