Evidence map›Paper›PMID 39793081›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Dissecting the cellular architecture and genetic circuitry of the soybean seed.

Julie M Pelletier, Min Chen, Jer-Young Lin, Brandon Le, Ryan C Kirkbride, Jungim Hur, Tina Wang, Shu-Heng Chang, Alexander Olson, Lachezar Nikolov and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  4. Review
  5. Article
  6. Epigenomics and Non-Coding RNAs in Soybean Adaptation to Abiotic Stresses.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Review
  9. 110 years of rice breeding at LSU: realized genetic gains and future optimization.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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

12 authors.

Julie M Pelletier *Department of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.
Min Chen *Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.
Jer-Young LinDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.
Brandon LeDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.ORCID 0000-0001-8651-2186
Ryan C KirkbrideDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.ORCID 0000-0001-9523-259X
Jungim HurDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.
Tina WangDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.
Shu-Heng ChangDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.
Alexander OlsonDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.ORCID 0009-0005-6102-9143
Lachezar NikolovDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.
Robert B GoldbergDepartment of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095.
John J HaradaDepartment of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.ORCID 0000-0003-1438-7296

Funding

National Science Foundation (NSF) IOS-11546806
6 · The paper itself

Abstract

Seeds are complex structures composed of three regions, embryo, endosperm, and seed coat, with each further divided into subregions that consist of tissues, cell layers, and cell types. Although the seed is well characterized anatomically, much less is known about the genetic circuitry that dictates its spatial complexity. To address this issue, we profiled mRNAs from anatomically distinct seed subregions at several developmental stages. Analyses of these profiles showed that all subregions express similar diverse gene numbers and that the small gene numbers expressed subregion specifically provide information about the biological processes that occur in these seed compartments. In parallel, we profiled RNAs in individual nuclei and identified nuclei clusters representing distinct cell identities. Integrating single-nucleus RNA and subregion mRNA transcriptomes allowed most cell identities to be assigned to specific subregions and cell types and/or cell states. The number of cell identities exceeds the number of anatomically distinguishable cell types, emphasizing the spatial complexity of seeds. We defined gene coexpression networks that underlie distinct biological processes during seed development. We showed that network distribution among subregions and cell identities is highly variable. Some networks operate in single subregions and/or cell identities, and many coexpression networks operate in multiple subregions and/or cell identities. We also showed that single subregions and cell identities possess several networks. Together, our studies provide unique insights into the biological processes and genetic circuitry that underlie the spatial landscape of the seed.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksGlycine maxSeedsCell NucleusGene Expression ProfilingRNA, MessengerTranscriptomeRNA, Messengerembryoendospermgene coexpression networksseed coat

Identifiers

PMID39793081
PMCPMC11725896

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.