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Non-structural carbohydrates in woody plants compared among laboratories.

Journal article
Authors Audrey G Quentin
Elizabeth A Pinkard
Michael G Ryan
David T Tissue
L Scott Baggett
Henry D Adams
Pascale Maillard
Jacqueline Marchand
Simon M Landhäusser
André Lacointe
Yves Gibon
William R L Anderegg
Shinichi Asao
Owen K Atkin
Marc Bonhomme
Caroline Claye
Pak S Chow
Anne Clément-Vidal
Noel W Davies
L Turin Dickman
Rita Dumbur
David S Ellsworth
Kristen Falk
Lucía Galiano
José M Grünzweig
Henrik Hartmann
Günter Hoch
Sharon Hood
Joanna E Jones
Takayoshi Koike
Iris Kuhlmann
Francisco Lloret
Melchor Maestro
Shawn D Mansfield
Jordi Martínez-Vilalta
Mickael Maucourt
Nathan G McDowell
Annick Moing
Bertrand Muller
Sergio G Nebauer
Ülo Niinemets
Sara Palacio
Frida Piper
Eran Raveh
Andreas Richter
Gaëlle Rolland
Teresa Rosas
Brigitte Saint Joanis
Anna Sala
Renee A Smith
Frank Sterck
Joseph R Stinziano
Mari Tobias
Faride Unda
Makoto Watanabe
Danielle A Way
Lasantha K Weerasinghe
Birgit Wild
Erin Wiley
David R Woodruff
Published in Tree physiology
Volume 35
Issue 11
Pages 1146-1165
ISSN 1758-4469
Publication year 2015
Published at Department of Earth Sciences
Pages 1146-1165
Language en
Subject categories Botany, Forestry, Wood Science


Non-structural carbohydrates (NSC) in plant tissue are frequently quantified to make inferences about plant responses to environmental conditions. Laboratories publishing estimates of NSC of woody plants use many different methods to evaluate NSC. We asked whether NSC estimates in the recent literature could be quantitatively compared among studies. We also asked whether any differences among laboratories were related to the extraction and quantification methods used to determine starch and sugar concentrations. These questions were addressed by sending sub-samples collected from five woody plant tissues, which varied in NSC content and chemical composition, to 29 laboratories. Each laboratory analyzed the samples with their laboratory-specific protocols, based on recent publications, to determine concentrations of soluble sugars, starch and their sum, total NSC. Laboratory estimates differed substantially for all samples. For example, estimates for Eucalyptus globulus leaves (EGL) varied from 23 to 116 (mean = 56) mg g(-1) for soluble sugars, 6-533 (mean = 94) mg g(-1) for starch and 53-649 (mean = 153) mg g(-1) for total NSC. Mixed model analysis of variance showed that much of the variability among laboratories was unrelated to the categories we used for extraction and quantification methods (method category R(2) = 0.05-0.12 for soluble sugars, 0.10-0.33 for starch and 0.01-0.09 for total NSC). For EGL, the difference between the highest and lowest least squares means for categories in the mixed model analysis was 33 mg g(-1) for total NSC, compared with the range of laboratory estimates of 596 mg g(-1). Laboratories were reasonably consistent in their ranks of estimates among tissues for starch (r = 0.41-0.91), but less so for total NSC (r = 0.45-0.84) and soluble sugars (r = 0.11-0.83). Our results show that NSC estimates for woody plant tissues cannot be compared among laboratories. The relative changes in NSC between treatments measured within a laboratory may be comparable within and between laboratories, especially for starch. To obtain comparable NSC estimates, we suggest that users can either adopt the reference method given in this publication, or report estimates for a portion of samples using the reference method, and report estimates for a standard reference material. Researchers interested in NSC estimates should work to identify and adopt standard methods.

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