Abstract
Leaf senescence is influenced by its life history, comprising a series of developmental and physiological experiences. Exploration of the biological principles underlying leaf lifespan and senescence requires a schema to trace leaf phenotypes, based on the interaction of genetic and environmental factors. We developed a new approach and concept that will facilitate systemic biological understanding of leaf lifespan and senescence, utilizing the phenome high-throughput investigator (PHI) with a single-leaf-basis phenotyping platform. Our pilot tests showed empirical evidence for the feasibility of PHI for quantitative measurement of leaf senescence responses and improved performance in order to dissect the progression of senescence triggered by different senescence-inducing factors as well as genetic mutations. Such an establishment enables new perspectives to be proposed, which will be challenged for enhancing our fundamental understanding on the complex process of leaf senescence. We further envision that integration of phenomic data with other multi-omics data obtained from transcriptomic, proteomic, and metabolic studies will enable us to address the underlying principles of senescence, passing through different layers of information from molecule to organism.
Highlights
Leaf senescence, a degenerative cellular process, is finely regulated and occurs by an intricate integration of multiple developmental and environmental signals
Despite some limitations to this study, these results suggest that phenome-wide analyses using a couple of hundreds traits enable us to dissect senescence responses triggered by various senescence inducers
We developed a specialized high-throughput phenotyping platform for analyzing senescence traits at a single-leaf basis, which will facilitate an alleviation of the phenotyping bottleneck in leaf senescence
Summary
A degenerative cellular process, is finely regulated and occurs by an intricate integration of multiple developmental and environmental signals. We are in the process of developing a cuttingedge plant phenotyping facility, the “phenome high-throughput investigator (PHI)”, which enables the evaluation of hundreds of traits through non-invasive approaches over time (Figure 1A).
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