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

Yoshihito Shinozaki1, Philippe Nicolas2, Noe Fernandez-Pozo2

  • 1Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, 14853, USA.

Nature Communications
|January 27, 2018
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Summary
This summary is machine-generated.

This study maps gene expression during tomato fruit development and ripening, revealing spatial and temporal patterns. It uncovers regulatory networks influencing fruit quality traits like texture, color, and aroma.

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Area of Science:

  • Plant Biology
  • Molecular Biology
  • Genomics

Background:

  • Tomato (Solanum lycopersicum) is a key model for fruit biology research.
  • Previous studies often used homogenized pericarp, neglecting internal tissue-specific gene expression during fruit growth and ripening.

Purpose of the Study:

  • To perform a spatiotemporally resolved transcriptome analysis of tomato fruit ontogeny.
  • To define regulatory and structural gene networks across different tissues and developmental stages.
  • To investigate spatial variations in epigenetic control during fruit ripening.

Main Methods:

  • Laser microdissection (LM) or hand dissection coupled with RNA-Seq analysis.
  • Spatiotemporal transcriptome profiling of tomato fruit development.
  • Bioinformatic analysis of gene regulatory networks and epigenetic patterns.

Main Results:

  • Identified gradients of gene expression during ripening, originating internally and radiating outwards.
  • Revealed basipetal gene expression changes along a latitudinal axis.
  • Defined regulatory networks including transcription factors and hormone pathways.
  • Discovered spatial epigenetic variations superimposed on ripening gradients.
  • Elucidated previously masked regulatory phenomena impacting fruit quality traits (texture, color, aroma, metabolites).

Conclusions:

  • Ripening is a complex process with distinct spatial and temporal gene expression patterns.
  • Epigenetic modifications play a role in regulating tomato fruit development and quality.
  • This high-resolution transcriptomic data provides new insights into fruit biology and breeding.