Patterns
Volume 2, Issue 4, 9 April 2021, 100235
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Multi-omics analysis of early leaf development in Arabidopsis thaliana

https://doi.org/10.1016/j.patter.2021.100235Get rights and content
Under a Creative Commons license
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Highlights

  • Untargeted metabolomics and proteomics characterization of early leaf growth

  • Translation is the primary determiner of protein abundance during early leaf growth

  • 12-OPDA accumulation coincides with meristem arrest

The bigger picture

Developmental and metabolic transitions occurring during plant growth are critical for crop yield. The multi-omics dataset presented here was generated to enable the identification of novel molecular players involved in the regulation of plant growth. It comprised approximately 4,000 proteins and 300 annotated small-molecular compounds, measured across early leaf development spanning major developmental transitions. As such, the work provides a blueprint for studies aimed at better defining the interface between metabolism and development, an appreciated yet understudied research frontier across all kingdoms of life.

Summary

The growth of plant organs is driven by cell division and subsequent cell expansion. The transition from proliferation to expansion is critical for the final organ size and plant yield. Exit from proliferation and onset of expansion is accompanied by major metabolic reprogramming, and in leaves with the establishment of photosynthesis. To learn more about the molecular mechanisms underlying the developmental and metabolic transitions important for plant growth, we used untargeted proteomics and metabolomics analyses to profile young leaves of a model plant Arabidopsis thaliana representing proliferation, transition, and expansion stages. The dataset presented represents a unique resource comprising approximately 4,000 proteins and 300 annotated small-molecular compounds measured across 6 consecutive days of leaf growth. These can now be mined for novel developmental and metabolic regulators of plant growth and can act as a blueprint for studies aimed at better defining the interface of development and metabolism in other species.

Data Science Maturity:

DSML 1: Concept: Basic principles of a new data science output observed and reported

Keywords

leaf development
mitotic arrest
12-OPDA
metabolomics
proteomics

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5

These authors contributed equally

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