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Domergue JB, Lalande J, Abadie C, Tcherkez G. Compound-Specific 14N/ 15N Analysis of Amino Acid Trimethylsilylated Derivatives from Plant Seed Proteins. Int J Mol Sci 2022; 23:ijms23094893. [PMID: 35563286 PMCID: PMC9105707 DOI: 10.3390/ijms23094893] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/18/2022] [Accepted: 04/26/2022] [Indexed: 02/01/2023] Open
Abstract
Isotopic analyses of plant samples are now of considerable importance for food certification and plant physiology. In fact, the natural nitrogen isotope composition (δ15N) is extremely useful to examine metabolic pathways of N nutrition involving isotope fractionations. However, δ15N analysis of amino acids is not straightforward and involves specific derivatization procedures to yield volatile derivatives that can be analysed by gas chromatography coupled to isotope ratio mass spectrometry (GC-C-IRMS). Derivatizations other than trimethylsilylation are commonly used since they are believed to be more reliable and accurate. Their major drawback is that they are not associated with metabolite databases allowing identification of derivatives and by-products. Here, we revisit the potential of trimethylsilylated derivatives via concurrent analysis of δ15N and exact mass GC-MS of plant seed protein samples, allowing facile identification of derivatives using a database used for metabolomics. When multiple silylated derivatives of several amino acids are accounted for, there is a good agreement between theoretical and observed N mole fractions, and δ15N values are satisfactory, with little fractionation during derivatization. Overall, this technique may be suitable for compound-specific δ15N analysis, with pros and cons.
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Affiliation(s)
- Jean-Baptiste Domergue
- Institut de Recherche en Horticulture et Semences, Université d’Angers, INRAe, 42 Rue Georges Morel, 49070 Beaucouzé, France; (J.-B.D.); (J.L.); (C.A.)
| | - Julie Lalande
- Institut de Recherche en Horticulture et Semences, Université d’Angers, INRAe, 42 Rue Georges Morel, 49070 Beaucouzé, France; (J.-B.D.); (J.L.); (C.A.)
| | - Cyril Abadie
- Institut de Recherche en Horticulture et Semences, Université d’Angers, INRAe, 42 Rue Georges Morel, 49070 Beaucouzé, France; (J.-B.D.); (J.L.); (C.A.)
| | - Guillaume Tcherkez
- Institut de Recherche en Horticulture et Semences, Université d’Angers, INRAe, 42 Rue Georges Morel, 49070 Beaucouzé, France; (J.-B.D.); (J.L.); (C.A.)
- Research School of Biology, Australian National University, Canberra, ACT 2601, Australia
- Correspondence:
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Domergue JB, Abadie C, Limami A, Way D, Tcherkez G. Seed quality and carbon primary metabolism. Plant Cell Environ 2019; 42:2776-2788. [PMID: 31323691 DOI: 10.1111/pce.13618] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 07/05/2019] [Accepted: 07/13/2019] [Indexed: 05/28/2023]
Abstract
Improving seed quality is amongst the most important challenges of contemporary agriculture. In fact, using plant varieties with better germination rates that are more tolerant to stress during seedling establishment may improve crop yield considerably. Therefore, intense efforts are currently being devoted to improve seed quality in many species, mostly using genomics tools. However, despite its considerable importance during seed imbibition and germination processes, primary carbon metabolism in seeds is less studied. Our knowledge of the physiology of seed respiration and energy generation and the impact of these processes on seed performance have made limited progress over the past three decades. In particular, (isotope-assisted) metabolomics of seeds has only been assessed occasionally, and there is limited information on possible quantitative relationships between metabolic fluxes and seed quality. Here, we review the recent literature and provide an overview of potential links between metabolic efficiency, metabolic biomarkers, and seed quality and discuss implications for future research, including a climate change context.
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Affiliation(s)
- Jean-Baptiste Domergue
- IRHS Institut de Recherche en Horticultures et Séances, UMR 1345, INRA, Agrocampus-Ouest, Université d'Angers SFR 4207 QuaSaV, Beaucouzé, 49070, France
| | - Cyril Abadie
- IRHS Institut de Recherche en Horticultures et Séances, UMR 1345, INRA, Agrocampus-Ouest, Université d'Angers SFR 4207 QuaSaV, Beaucouzé, 49070, France
| | - Anis Limami
- IRHS Institut de Recherche en Horticultures et Séances, UMR 1345, INRA, Agrocampus-Ouest, Université d'Angers SFR 4207 QuaSaV, Beaucouzé, 49070, France
| | - Danielle Way
- Department of Biology, University of Western Ontario, London, ON, N6A 5B7, Canada
- Research School of Biology, ANU Joint College of Sciences, Australian National University, Canberra, ACT, 2601, Australia
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
| | - Guillaume Tcherkez
- IRHS Institut de Recherche en Horticultures et Séances, UMR 1345, INRA, Agrocampus-Ouest, Université d'Angers SFR 4207 QuaSaV, Beaucouzé, 49070, France
- Research School of Biology, ANU Joint College of Sciences, Australian National University, Canberra, ACT, 2601, Australia
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Bigot S, Buges J, Gilly L, Jacques C, Le Boulch P, Berger M, Delcros P, Domergue JB, Koehl A, Ley-Ngardigal B, Tran Van Canh L, Couée I. Pivotal roles of environmental sensing and signaling mechanisms in plant responses to climate change. Glob Chang Biol 2018; 24:5573-5589. [PMID: 30155993 DOI: 10.1111/gcb.14433] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 06/08/2018] [Accepted: 07/30/2018] [Indexed: 06/08/2023]
Abstract
Climate change reshapes the physiology and development of organisms through phenotypic plasticity, epigenetic modifications, and genetic adaptation. Under evolutionary pressures of the sessile lifestyle, plants possess efficient systems of phenotypic plasticity and acclimation to environmental conditions. Molecular analysis, especially through omics approaches, of these primary lines of environmental adjustment in the context of climate change has revealed the underlying biochemical and physiological mechanisms, thus characterizing the links between phenotypic plasticity and climate change responses. The efficiency of adaptive plasticity under climate change indeed depends on the realization of such biochemical and physiological mechanisms, but the importance of sensing and signaling mechanisms that can integrate perception of environmental cues and transduction into physiological responses is often overlooked. Recent progress opens the possibility of considering plant phenotypic plasticity and responses to climate change through the perspective of environmental sensing and signaling. This review aims to analyze present knowledge on plant sensing and signaling mechanisms and discuss how their structural and functional characteristics lead to resilience or hypersensitivity under conditions of climate change. Plant cells are endowed with arrays of environmental and stress sensors and with internal signals that act as molecular integrators of the multiple constraints of climate change, thus giving rise to potential mechanisms of climate change sensing. Moreover, mechanisms of stress-related information propagation lead to stress memory and acquired stress tolerance that could withstand different scenarios of modifications of stress frequency and intensity. However, optimal functioning of existing sensors, optimal integration of additive constraints and signals, or memory processes can be hampered by conflicting interferences between novel combinations and novel changes in intensity and duration of climate change-related factors. Analysis of these contrasted situations emphasizes the need for future research on the diversity and robustness of plant signaling mechanisms under climate change conditions.
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Affiliation(s)
- Servane Bigot
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Julie Buges
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
- ECOBIO (Ecosystems-Biodiversity-Evolution) - UMR 6553, Univ Rennes, CNRS, Université de Rennes 1, Rennes, France
| | - Lauriane Gilly
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Cécile Jacques
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Pauline Le Boulch
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Marie Berger
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Pauline Delcros
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Jean-Baptiste Domergue
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Astrid Koehl
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Béra Ley-Ngardigal
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
| | - Loup Tran Van Canh
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
- ECOBIO (Ecosystems-Biodiversity-Evolution) - UMR 6553, Univ Rennes, CNRS, Université de Rennes 1, Rennes, France
| | - Ivan Couée
- Department of Life Sciences and Environment, Univ Rennes, Université de Rennes 1, Rennes, France
- ECOBIO (Ecosystems-Biodiversity-Evolution) - UMR 6553, Univ Rennes, CNRS, Université de Rennes 1, Rennes, France
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