Literature DB >> 23939963

Variability of 13C-labeling in plant leaves.

Thanh Thuy Nguyen Tu1, Philippe Biron, Kadmiel Maseyk, Patricia Richard, Bernd Zeller, Katell Quénéa, Marie Alexis, Gérard Bardoux, Véronique Vaury, Cyril Girardin, Valérie Pouteau, Daniel Billiou, Thierry Bariac.   

Abstract

RATIONALE: Plant tissues artificially labeled with (13)C are increasingly used in environmental studies to unravel biogeochemical and ecophysiological processes. However, the variability of (13)C-content in labeled tissues has never been carefully investigated. Hence, this study aimed at documenting the variability of (13)C-content in artificially labeled leaves.
METHODS: European beech and Italian ryegrass were subjected to long-term (13)C-labeling in a controlled-environment growth chamber. The (13)C-content of the leaves obtained after several months labeling was determined by isotope ratio mass spectrometry.
RESULTS: The (13)C-content of the labeled leaves exhibited inter- and intra-leaf variability much higher than those naturally occurring in unlabeled plants, which do not exceed a few per mil. This variability was correlated with labeling intensity: the isotope composition of leaves varied in ranges of ca 60‰ and 90‰ for experiments that led to average leaf (13)C-content of ca +15‰ and +450‰, respectively.
CONCLUSIONS: The reported variability of isotope composition in (13)C-enriched leaves is critical, and should be taken into account in subsequent experimental investigations of environmental processes using (13)C-labeled plant tissues.
Copyright © 2013 John Wiley & Sons, Ltd.

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Year:  2013        PMID: 23939963     DOI: 10.1002/rcm.6650

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  1 in total

1.  Variation of 13C and 15N enrichments in different plant components of labeled winter wheat (Triticum aestivum L.).

Authors:  Zhaoan Sun; Shuxia Wu; Biao Zhu; Yiwen Zhang; Roland Bol; Qing Chen; Fanqiao Meng
Journal:  PeerJ       Date:  2019-10-02       Impact factor: 2.984

  1 in total

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