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      Comparative metabolite profiling of salt sensitive Oryza sativa and the halophytic wild rice Oryza coarctata under salt stress

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          Abstract

          To better understand the salt tolerance of the wild rice, Oryza coarctata, root tissue‐specific untargeted comparative metabolomic profiling was performed against the salt‐sensitive Oryza sativa. Under control, O. coarctata exhibited abundant levels of most metabolites, while salt caused their downregulation in contrast to metabolites in O. sativa. Under control conditions, itaconate, vanillic acid, threonic acid, eicosanoids, and a group of xanthin compounds were comparatively abundant in O. coarctata. Similarly, eight amino acids showed constitutive abundance in O. coarctata. In contrast, under control, glycerolipid abundances were lower in O. coarctata and salt stress further reduced their abundance. Most phospholipids also showed a distribution similar to the glycerolipids. Fatty acyls were however significantly induced in O. coarctata but organic acids were prominently induced in O. sativa. Changes in metabolite levels suggest that there was upregulation of the arachidonic acid metabolism in O. coarctata. In addition, the phenylpropanoid biosynthesis as well as cutin, suberin, and wax biosynthesis were also more enriched in O. coarctata, likely contributing to its anatomical traits responsible for salt tolerance. The comparative variation in the number of metabolites like gelsemine, allantoin, benzyl alcohol, specific phospholipids, and glycerolipids may play a role in maintaining the superior growth of O. coarctata in salt. Collectively, our results offer a comprehensive analysis of the metabolite profile in the roots of salt‐tolerant O. coarctata and salt‐sensitive O. sativa, which confirm potential targets for metabolic engineering to improve salt tolerance and resilience in commercial rice genotypes.

          Abstract

          To gain a better insight of the remarkable salt tolerance of the wild rice, O. coarctata, root tissue specific untargeted comparative metabolomic profiling was performed against the salt sensitive O. sativa. Strikingly, under control condition, O. coarctata displayed an abundance in most metabolites including itaconate, vanillic acid, threonic acid, eicosanoids, a group of xanthin compounds and phospholipids, while salt caused a shift towards their downregulation in contrast to the fate of metabolites in O. sativa. Our results provide a comprehensive analysis of the metabolite pool in the roots of salt tolerant O. coarctata and salt sensitive O. sativa, and identify some of the potential pathways that can be targeted for future metabolic engineering to improve salt tolerance and resilience in commercial rice genotypes.

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          MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights

          Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap from raw data to functional insights for global metabolomics based on high-resolution mass spectrometry (HRMS). Three modules have been developed to help achieve this goal, including: (i) a LC–MS Spectra Processing module which offers an easy-to-use pipeline that can perform automated parameter optimization and resumable analysis to significantly lower the barriers to LC-MS1 spectra processing; (ii) a Functional Analysis module which expands the previous MS Peaks to Pathways module to allow users to intuitively select any peak groups of interest and evaluate their enrichment of potential functions as defined by metabolic pathways and metabolite sets; (iii) a Functional Meta-Analysis module to combine multiple global metabolomics datasets obtained under complementary conditions or from similar studies to arrive at comprehensive functional insights. There are many other new functions including weighted joint-pathway analysis, data-driven network analysis, batch effect correction, merging technical replicates, improved compound name matching, etc. The web interface, graphics and underlying codebase have also been refactored to improve performance and user experience. At the end of an analysis session, users can now easily switch to other compatible modules for a more streamlined data analysis. MetaboAnalyst 5.0 is freely available at https://www.metaboanalyst.ca . Graphical Abstract From raw data to statistical and functional insights using MetaboAnalyst 5.0.
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            Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation

            Salinity is one of the most brutal environmental factors limiting the productivity of crop plants because most of the crop plants are sensitive to salinity caused by high concentrations of salts in the soil, and the area of land affected by it is increasing day by day. For all important crops, average yields are only a fraction – somewhere between 20% and 50% of record yields; these losses are mostly due to drought and high soil salinity, environmental conditions which will worsen in many regions because of global climate change. A wide range of adaptations and mitigation strategies are required to cope with such impacts. Efficient resource management and crop/livestock improvement for evolving better breeds can help to overcome salinity stress. However, such strategies being long drawn and cost intensive, there is a need to develop simple and low cost biological methods for salinity stress management, which can be used on short term basis. Microorganisms could play a significant role in this respect, if we exploit their unique properties such as tolerance to saline conditions, genetic diversity, synthesis of compatible solutes, production of plant growth promoting hormones, bio-control potential, and their interaction with crop plants.
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              Untargeted Metabolomics Strategies—Challenges and Emerging Directions

              Metabolites are building blocks of cellular function. These species are involved in enzyme-catalyzed chemical reactions and are essential for cellular function. Upstream biological disruptions result in a series of metabolomic changes, and as such the metabolome holds a wealth of information that is thought to be most predictive of phenotype. Uncovering this knowledge is a work in progress. The field of metabolomics is still maturing; the community has leveraged proteomics experience when applicable and developed a range of sample preparation and instrument methodology along with myriad data processing and analysis approaches. Research focuses have now shifted toward a fundamental understanding of the biology responsible for metabolomic changes. There are several types of metabolomics experiments including both targeted and untargeted analyses. While untargeted, hypothesis generating, workflows exhibit many valuable attributes, challenges inherent to the approach remain. This Critical Insight comments on these challenges, focusing on the identification process of LC-MS based untargeted metabolomics studies – specifically in mammalian systems. Biological interpretation of metabolomics data hinges on the ability to accurately identify metabolites. The range of confidence associated with identifications that is often overlooked is reviewed, and opportunities for advancing the metabolomics field are described.
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                Author and article information

                Contributors
                zebai@du.ac.bd
                Journal
                Plant Environ Interact
                Plant Environ Interact
                10.1002/(ISSN)2575-6265
                PEI3
                Plant-Environment Interactions
                John Wiley and Sons Inc. (Hoboken )
                2575-6265
                15 June 2024
                June 2024
                : 5
                : 3 ( doiID: 10.1002/pei3.v5.3 )
                : e10155
                Affiliations
                [ 1 ] Plant Biotechnology Laboratory, Department of Biochemistry and Molecular Biology University of Dhaka Dhaka Bangladesh
                [ 2 ] Center for Bioinformatics Learning Advancement and Systematic Training University of Dhaka Dhaka Bangladesh
                [ 3 ] Department of Genetic Engineering and Biotechnology University of Dhaka Dhaka Bangladesh
                [ 4 ] Department of Biochemistry and Microbiology North South University Dhaka Bangladesh
                [ 5 ] Arizona Genomics Institute, School of Plant Sciences The University of Arizona Tucson Arizona USA
                [ 6 ] Department of Plant Biosciences, Faculty of Agriculture Iwate University Morioka Japan
                [ 7 ] Department of Plant Sciences, College of Agriculture and Bioresources University of Saskatchewan Saskatoon Saskatchewan Canada
                Author notes
                [*] [* ] Correspondence

                Zeba I. Seraj, Plant Biotechnology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.

                Email: zebai@ 123456du.ac.bd

                Author information
                https://orcid.org/0000-0002-1702-8574
                Article
                PEI310155 PEI3-2024-0004.R2
                10.1002/pei3.10155
                11179383
                38882243
                e2e765f6-a40d-4adc-b0af-3fd175ed5948
                © 2024 The Author(s). Plant‐Environment Interactions published by New Phytologist Foundation and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 May 2024
                : 17 January 2024
                : 29 May 2024
                Page count
                Figures: 9, Tables: 0, Pages: 14, Words: 10000
                Funding
                Funded by: Bangladesh Climate Change Trust
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                June 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.4 mode:remove_FC converted:15.06.2024

                halophyte,metabolomics,oryza coarctata,oryza sativa,rice,salinity

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