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Molecular Plant
Article
License: Elsevier Non-Commercial
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Molecular Plant
Article . 2016 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
Molecular Plant
Article . 2017
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Toward Systems Understanding of Leaf Senescence: An Integrated Multi-Omics Perspective on Leaf Senescence Research

Authors: Kim, Jeongsik; Woo, Hye Ryun; Nam, Hong Gil;

Toward Systems Understanding of Leaf Senescence: An Integrated Multi-Omics Perspective on Leaf Senescence Research

Abstract

Leaf senescence is a complex but tightly regulated developmental process involving a coordinated sequence of multiple molecular events, which ultimately leads to death of the leaf. Efforts to understand the mechanistic principles underlying leaf senescence have been largely made by transcriptomic, proteomic, and metabolomic studies over the past decade. This review focuses on recent milestones in leaf senescence research obtained using multi-omics technologies, as well as future endeavors toward systems understanding of leaf senescence processes. In particular, we discuss recent advances in understanding molecular events during leaf senescence through genome-wide transcriptome analyses in Arabidopsis. We also describe comparative transcriptome analyses used to unveil the commonality and diversity of regulatory mechanisms governing leaf senescence in the plant kingdom. Finally, we provide current illustrations of epigenomic, proteomic, and metabolomic landscapes of leaf senescence. We envisage that integration of multi-omics leaf senescence data will enable us to address unresolved questions regarding leaf senescence, including determining the molecular principles that coordinate concurrent and ordered changes in biological events during leaf senescence.

Country
Korea (Republic of)
Keywords

Epigenomics, Proteomics, 570, leaf senescence, Transcription Factor, Arabidopsis, DIFFERENTIAL EXPRESSION, transcriptomics, proteomics, Metabolomics, STRESS TOLERANCE, NUTRIENT RemOBILIZATION, 580, SENESCING LEAVES, FESTUCA-PRATENSIS, multi-omics, metabolomics, Plant Leaves, DARK-INDUCED SENESCENCE, GENE-EXPRESSION PROFILES, epigenomics, ARABIDOPSIS-THALIANA, GOSSYPIUM-HIRSUTUM

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    popularity
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
177
Top 1%
Top 10%
Top 1%
hybrid