IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-017-02782-9.html
   My bibliography  Save this article

High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening

Author

Listed:
  • Yoshihito Shinozaki

    (Cornell University)

  • Philippe Nicolas

    (Boyce Thompson Institute)

  • Noe Fernandez-Pozo

    (Boyce Thompson Institute)

  • Qiyue Ma

    (Boyce Thompson Institute)

  • Daniel J. Evanich

    (Boyce Thompson Institute)

  • Yanna Shi

    (Boyce Thompson Institute
    Zhejiang University)

  • Yimin Xu

    (Boyce Thompson Institute)

  • Yi Zheng

    (Boyce Thompson Institute)

  • Stephen I. Snyder

    (Cornell University)

  • Laetitia B. B. Martin

    (Cornell University)

  • Eliel Ruiz-May

    (Cornell University)

  • Theodore W. Thannhauser

    (Robert W. Holley Center for Agriculture and Health)

  • Kunsong Chen

    (Zhejiang University)

  • David S. Domozych

    (Skidmore College)

  • Carmen Catalá

    (Cornell University
    Boyce Thompson Institute)

  • Zhangjun Fei

    (Boyce Thompson Institute
    Robert W. Holley Center for Agriculture and Health)

  • Lukas A. Mueller

    (Boyce Thompson Institute)

  • James J. Giovannoni

    (Boyce Thompson Institute
    Robert W. Holley Center for Agriculture and Health)

  • Jocelyn K. C. Rose

    (Cornell University)

Abstract

Tomato (Solanum lycopersicum) is an established model for studying fruit biology; however, most studies of tomato fruit growth and ripening are based on homogenized pericarp, and do not consider the internal tissues, or the expression signatures of individual cell and tissue types. We present a spatiotemporally resolved transcriptome analysis of tomato fruit ontogeny, using laser microdissection (LM) or hand dissection coupled with RNA-Seq analysis. Regulatory and structural gene networks, including families of transcription factors and hormone synthesis and signaling pathways, are defined across tissue and developmental spectra. The ripening program is revealed as comprising gradients of gene expression, initiating in internal tissues then radiating outward, and basipetally along a latitudinal axis. We also identify spatial variations in the patterns of epigenetic control superimposed on ripening gradients. Functional studies elucidate previously masked regulatory phenomena and relationships, including those associated with fruit quality traits, such as texture, color, aroma, and metabolite profiles.

Suggested Citation

  • Yoshihito Shinozaki & Philippe Nicolas & Noe Fernandez-Pozo & Qiyue Ma & Daniel J. Evanich & Yanna Shi & Yimin Xu & Yi Zheng & Stephen I. Snyder & Laetitia B. B. Martin & Eliel Ruiz-May & Theodore W. , 2018. "High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02782-9
    DOI: 10.1038/s41467-017-02782-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-02782-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-017-02782-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zixin Zhang & Xin Zhang & Yuting Chen & Wenqian Jiang & Jing Zhang & Jiayu Wang & Yanjun Wu & Shouchuang Wang & Xiao Yang & Mingchun Liu & Yang Zhang, 2023. "Understanding the mechanism of red light-induced melatonin biosynthesis facilitates the engineering of melatonin-enriched tomatoes," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02782-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.