Integration of multi-omics techniques and physiological phenotyping within a holistic phenomics approach to study senescence in model and crop plants

0479472 - ÚVGZ 2022 RIV GB eng J - Journal Article
Großkinsky, D.K. - Syaifullah, S. J. - Roitsch, Thomas
Integration of multi-omics techniques and physiological phenotyping within a holistic phenomics approach to study senescence in model and crop plants.
Journal of Experimental Botany. Roč. 69, č. 4 (2018), s. 825-844. ISSN 0022-0957. E-ISSN 1460-2431
R&D Projects: GA MŠMT(CZ) LO1415
Institutional support: RVO:86652079
Keywords : integrated approaches * multi-omics * phenomics * plant development * plant–environment interactions * plant phenotyping * plant physiology * plant senescence * senescence programme * systems biology
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 5.360, year: 2018
Method of publishing: Open access
https://academic.oup.com/jxb/article/69/4/825/4372214

The study of senescence in plants is complicated by diverse levels of temporal and spatial dynamics as well as the impact of external biotic and abiotic factors and crop plant management. Whereas the molecular mechanisms involved in developmentally regulated leaf senescence are very well understood, in particular in the annual model plant species Arabidopsis, senescence of other organs such as the flower, fruit, and root is much less studied as well as senescence in perennials such as trees. This review addresses the need for the integration of multi-omics techniques and physiological phenotyping into holistic phenomics approaches to dissect the complex phenomenon of senescence. That became feasible through major advances in the establishment of various, complementary ‘omics’ technologies. Such an interdisciplinary approach will also need to consider knowledge from the animal field, in particular in relation to novel regulators such as small, non-coding RNAs, epigenetic control and telomere length. Such a characterization of phenotypes via the acquisition of high-dimensional datasets within a systems biology approach will allow us to systematically characterize the various programmes governing senescence beyond leaf senescence in Arabidopsis and to elucidate the underlying molecular processes. Such a multi-omics approach is expected to also spur the application of results from model plants to agriculture and their verification for sustainable and environmentally friendly improvement of crop plant stress resilience and productivity and contribute to improvements based on postharvest physiology for the food industry and the benefit of its customers.
Permanent Link: http://hdl.handle.net/11104/0275465