Literature DB >> 28668354

The use of metabolomic quantitative trait locus mapping and osmotic adjustment traits for the improvement of crop yields under environmental stresses.

Mostafa Abdelrahman1, David J Burritt2, Lam-Son Phan Tran3.   

Abstract

The sustainable production of food to feed an increasing world population is a major challenge for plant scientists, especially due to the unpredictable and dynamic nature of global climatic conditions. Heat waves, drought, increased soil salinity, unseasonal cold and flooding are all becoming more common climate-related causes of stress for crop plants, and are already affecting yields and the geographical distributions of optimal growing regions for many crops. Therefore, the development and application of multi-faceted strategies, including sustainable agricultural practices and the development and cultivation of new varieties containing genetic traits associated with abiotic stress tolerance, will either alone or together be essential to sustainably grow high-yielding crops under increasingly stressful environmental conditions. The development of abiotic stress-resilient crops requires an in-depth knowledge of plant development and of the biological processes that enable plants to survive in stressful environments, and this knowledge can be obtained from "omic" studies, such as bioinformatics, genomics, transcriptomics, proteomics and metabolomics. The plant metabolome can provide a snapshot of the physiological and biochemical status of a plant cell under normal or stressful conditions, and thus it is closely related to the plant phenotypes. Analysis of the metabolomes of plants grown under stressful conditions can be used to identify stress resistance-associated metabolites or biomarkers, which can then be used by plant breeders as selective markers to help identify the phenotypes, resulted from the complex interactions between genotype and environment. Osmotic adjustment is an important metabolic adaptation mechanism which helps plants survive abiotic stress and can support higher crop yield under stressful environmental conditions. This review highlights the recent advances in our understanding of the functions of abiotic stress-responsive metabolites, with an emphasis on the use of metabolomic quantitative trait locus mapping and osmotic adjustment agronomic traits, for the improvement of crop yields under environmental stresses.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Crop yield; Environmental stress; Metabolomic quantitative trait locus; Osmotic adjustment

Mesh:

Year:  2017        PMID: 28668354     DOI: 10.1016/j.semcdb.2017.06.020

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  12 in total

Review 1.  Crop metabolomics: from diagnostics to assisted breeding.

Authors:  Saleh Alseekh; Luisa Bermudez; Luis Alejandro de Haro; Alisdair R Fernie; Fernando Carrari
Journal:  Metabolomics       Date:  2018-11-03       Impact factor: 4.290

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

Review 3.  Metabolomics and Transcriptomics in Legumes Under Phosphate Deficiency in Relation to Nitrogen Fixation by Root Nodules.

Authors:  Mostafa Abdelrahman; Magdi A El-Sayed; Abeer Hashem; Elsayed Fathi Abd Allah; Abdulaziz A Alqarawi; David J Burritt; Lam-Son Phan Tran
Journal:  Front Plant Sci       Date:  2018-07-11       Impact factor: 5.753

4.  Widely targeted metabolome and transcriptome landscapes of Allium fistulosum-A. cepa chromosome addition lines revealed a flavonoid hot spot on chromosome 5A.

Authors:  Mostafa Abdelrahman; Sho Hirata; Yuji Sawada; Masami Yokota Hirai; Shusei Sato; Hideki Hirakawa; Yoko Mine; Keisuke Tanaka; Masayoshi Shigyo
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

5.  Medicago sativa and Medicago truncatula Show Contrasting Root Metabolic Responses to Drought.

Authors:  Andres Echeverria; Estíbaliz Larrainzar; Weiqiang Li; Yasuko Watanabe; Muneo Sato; Cuong Duy Tran; Jose A Moler; Masami Yokota Hirai; Yuji Sawada; Lam-Son Phan Tran; Esther M Gonzalez
Journal:  Front Plant Sci       Date:  2021-04-21       Impact factor: 5.753

6.  Genome Wide Association Study Uncovers the QTLome for Osmotic Adjustment and Related Drought Adaptive Traits in Durum Wheat.

Authors:  Giuseppe Emanuele Condorelli; Maria Newcomb; Eder Licieri Groli; Marco Maccaferri; Cristian Forestan; Ebrahim Babaeian; Markus Tuller; Jeffrey Westcott White; Rick Ward; Todd Mockler; Nadia Shakoor; Roberto Tuberosa
Journal:  Genes (Basel)       Date:  2022-02-02       Impact factor: 4.096

Review 7.  Role of phytomelatonin responsive to metal stresses: An omics perspective and future scenario.

Authors:  Skhawat Ali; Rafaqat Ali Gill; Muhammad Sohaib Shafique; Sunny Ahmar; Muhammad Kamran; Na Zhang; Muhammad Riaz; Muhammad Nawaz; Rouyi Fang; Basharat Ali; Weijun Zhou
Journal:  Front Plant Sci       Date:  2022-09-06       Impact factor: 6.627

8.  Circadian Rhythms and Redox State in Plants: Till Stress Do Us Part.

Authors:  Carmela R Guadagno; Brent E Ewers; Cynthia Weinig
Journal:  Front Plant Sci       Date:  2018-03-05       Impact factor: 5.753

Review 9.  Responses of water accumulation and solute metabolism in tomato fruit to water scarcity and implications for main fruit quality variables.

Authors:  Xuemin Hou; Wendong Zhang; Taisheng Du; Shaozhong Kang; William J Davies
Journal:  J Exp Bot       Date:  2020-02-19       Impact factor: 6.992

10.  Metabolome-Based Discrimination Analysis of Shallot Landraces and Bulb Onion Cultivars Associated with Differences in the Amino Acid and Flavonoid Profiles.

Authors:  Mostafa Abdelrahman; Nur Aeni Ariyanti; Yuji Sawada; Fumitada Tsuji; Sho Hirata; Tran Thi Minh Hang; Mami Okamoto; Yutaka Yamada; Hiroshi Tsugawa; Masami Yokota Hirai; Masayoshi Shigyo
Journal:  Molecules       Date:  2020-11-13       Impact factor: 4.411

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