Evidence map›Paper›PMID 37938556›Full record

ArticleNature communications2023

Spatial transcriptomics uncover sucrose post-phloem transport during maize kernel development.

Yuxin Fu, Wenxin Xiao, Lang Tian, Liangxing Guo, Guangjin Ma, Chen Ji, Yongcai Huang, Haihai Wang, Xingguo Wu, Tao Yang and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Yuxin Fu *College of Life Science, Shanghai Normal University, 100 Guilin Road, Shanghai, 200233, China.ORCID http://orcid.org/0000-0002-1396-0647
Wenxin Xiao *College of Life Science, Shanghai Normal University, 100 Guilin Road, Shanghai, 200233, China.ORCID http://orcid.org/0009-0002-7087-9754
Lang TianCollege of Life Science, Shanghai Normal University, 100 Guilin Road, Shanghai, 200233, China.
Liangxing GuoNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.ORCID http://orcid.org/0000-0002-7225-4662
Guangjin MaNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.
Chen JiNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.ORCID http://orcid.org/0000-0002-0473-5915
Yongcai HuangNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.ORCID http://orcid.org/0000-0002-5143-9051
Haihai WangNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.ORCID http://orcid.org/0000-0002-5615-4215
Xingguo WuCollege of Life Science, Shanghai Normal University, 100 Guilin Road, Shanghai, 200233, China.
Tao YangNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.ORCID http://orcid.org/0000-0002-5158-0987
Jiechen WangNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China.
Jirui WangTriticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.ORCID http://orcid.org/0000-0002-5019-6844
Yongrui WuNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology & Ecology, Shanghai, 200032, China. yrwu@cemps.ac.cn.ORCID http://orcid.org/0000-0003-3822-0511
Wenqin WangCollege of Life Science, Shanghai Normal University, 100 Guilin Road, Shanghai, 200233, China. wang2021@shnu.edu.cn.ORCID http://orcid.org/0000-0001-6427-6338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maize kernels are complex biological systems composed of three genetic sources, namely maternal tissues, progeny embryos, and progeny endosperms. The lack of gene expression profiles with spatial information has limited the understanding of the specific functions of each cell population, and hindered the exploration of superior genes in kernels. In our study, we conduct microscopic sectioning and spatial transcriptomics analysis during the grain filling stage of maize kernels. This enables us to visualize the expression patterns of all genes through electronical RNA in situ hybridization, and identify 11 cell populations and 332 molecular marker genes. Furthermore, we systematically elucidate the spatial storage mechanisms of the three major substances in maize kernels: starch, protein, and oil. These findings provide valuable insights into the functional genes that control agronomic traits in maize kernels.

Indexed as

TranscriptomeZea maysIn Situ HybridizationPhloemSucroseSucrose

Identifiers

PMID37938556
PMCPMC10632454

What OpenQuestion holds

Textmetadata
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.