Literature DB >> 29444308

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

Dominik K Großkinsky1, Syahnada Jaya Syaifullah1, Thomas Roitsch1,2.   

Abstract

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.
© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Integrated approaches; multi-omics; phenomics; plant development; plant phenotyping; plant physiology; plant senescence; plant–environment interactions; senescence programme; systems biology

Mesh:

Year:  2018        PMID: 29444308     DOI: 10.1093/jxb/erx333

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  26 in total

1.  An Age-Dependent Sequence of Physiological Processes Defines Developmental Root Senescence.

Authors:  Zhaojun Liu; Chakravarthy B N Marella; Anja Hartmann; Mohammad R Hajirezaei; Nicolaus von Wirén
Journal:  Plant Physiol       Date:  2019-09-12       Impact factor: 8.340

Review 2.  Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.

Authors:  Manish Tiwari; Baljinder Singh; Doohong Min; S V Krishna Jagadish
Journal:  Front Plant Sci       Date:  2022-05-09       Impact factor: 6.627

3.  Senescence-Specific Expression of RAmy1A Accelerates Non-structural Carbohydrate Remobilization and Grain Filling in Rice (Oryza sativa L.).

Authors:  Ning Ouyang; Xuewu Sun; Yanning Tan; Zhizhong Sun; Dong Yu; Hai Liu; Citao Liu; Ling Liu; Lu Jin; Bingran Zhao; Dingyang Yuan; Meijuan Duan
Journal:  Front Plant Sci       Date:  2021-04-27       Impact factor: 5.753

Review 4.  Ionomic Approaches for Discovery of Novel Stress-Resilient Genes in Plants.

Authors:  Sajad Ali; Anshika Tyagi; Hanhong Bae
Journal:  Int J Mol Sci       Date:  2021-07-02       Impact factor: 5.923

5.  Plant senescence: how plants know when and how to die.

Authors:  Hye Ryun Woo; Céline Masclaux-Daubresse; Pyung Ok Lim
Journal:  J Exp Bot       Date:  2018-02-12       Impact factor: 6.992

Review 6.  Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.

Authors:  Fabiana F Moreira; Hinayah R Oliveira; Jeffrey J Volenec; Katy M Rainey; Luiz F Brito
Journal:  Front Plant Sci       Date:  2020-05-26       Impact factor: 5.753

Review 7.  Marine Natural Products from Microalgae: An -Omics Overview.

Authors:  Chiara Lauritano; Maria Immacolata Ferrante; Alessandra Rogato
Journal:  Mar Drugs       Date:  2019-05-07       Impact factor: 5.118

Review 8.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04

9.  Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral Imaging.

Authors:  Matheus T Kuska; Jan Behmann; Dominik K Großkinsky; Thomas Roitsch; Anne-Katrin Mahlein
Journal:  Front Plant Sci       Date:  2018-07-23       Impact factor: 5.753

10.  Algae to angiosperms: Autofluorescence for rapid visualization of plant anatomy among diverse taxa.

Authors:  Timothy J Pegg; Daniel K Gladish; Robert L Baker
Journal:  Appl Plant Sci       Date:  2021-07-02       Impact factor: 1.936

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