Journal
JOURNAL OF EXPERIMENTAL BOTANY
Volume 65, Issue 14, Pages 3859-3873Publisher
OXFORD UNIV PRESS
DOI: 10.1093/jxb/eru054
Keywords
Gene regulation; modelling; senescence; systems biology; transcriptional networks
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Funding
- BBRSC [BB/F005806/1]
- EPSRC [EP/I036575/1]
- Biotechnology and Biological Sciences Research Council [BB/F005806/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/I036575/1] Funding Source: researchfish
- BBSRC [BB/F005806/1] Funding Source: UKRI
- EPSRC [EP/I036575/1] Funding Source: UKRI
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The process of leaf senescence is induced by an extensive range of developmental and environmental signals and controlled by multiple, cross-linking pathways, many of which overlap with plant stress-response signals. Elucidation of this complex regulation requires a step beyond a traditional one-gene-at-a-time analysis. Application of a more global analysis using statistical and mathematical tools of systems biology is an approach that is being applied to address this problem. A variety of modelling methods applicable to the analysis of current and future senescence data are reviewed and discussed using some senescence-specific examples. Network modelling with a senescence transcriptome time course followed by testing predictions with gene-expression data illustrates the application of systems biology tools.
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