4.8 Article

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

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NATURE COMMUNICATIONS
卷 9, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-017-02782-9

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资金

  1. Plant Genome Research Program of the US National Science Foundation [IOS-1339287, IOS-1539831]
  2. US Department of Agriculture-Agricultural Research Service
  3. Agriculture and Food Research Initiative of the US Department of Agriculture [2016-67013-24732]
  4. Japan Society for the Promotion of Science [16J00582]
  5. NIFA [810750, 2016-67013-24732] Funding Source: Federal RePORTER
  6. Grants-in-Aid for Scientific Research [16J00582] Funding Source: KAKEN
  7. Direct For Biological Sciences
  8. Division Of Integrative Organismal Systems [1339287] Funding Source: National Science Foundation
  9. Division Of Integrative Organismal Systems
  10. Direct For Biological Sciences [1539831] Funding Source: National Science Foundation

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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.

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