Literature DB >> 28770485

Non-destructive measurement of soybean leaf thickness via X-ray computed tomography allows the study of diel leaf growth rhythms in the third dimension.

Johannes Pfeifer1, Michael Mielewczik2, Michael Friedli3, Norbert Kirchgessner4, Achim Walter4.   

Abstract

Present-day high-resolution leaf growth measurements provide exciting insights into diel (24-h) leaf growth rhythms and their control by the circadian clock, which match photosynthesis with oscillating environmental conditions. However, these methods are based on measurements of leaf area or elongation and neglect diel changes of leaf thickness. In contrast, the influence of various environmental stress factors to which leaves are exposed to during growth on the final leaf thickness has been studied extensively. Yet, these studies cannot elucidate how variation in leaf area and thickness are simultaneously regulated and influenced on smaller time scales. Only few methods are available to measure the thickness of young, growing leaves non-destructively. Therefore, we evaluated X-ray computed tomography to simultaneously and non-invasively record diel changes and growth of leaf thickness and area. Using conventional imaging and X-ray computed tomography leaf area, thickness and volume growth of young soybean leaves were simultaneously and non-destructively monitored at three cardinal time points during night and day for a period of 80 h under non-stressful growth conditions. Reference thickness measurements on paperboards were in good agreement to CT measurements. Comparison of CT with leaf mass data further proved the consistency of our method. Exploratory analysis showed that measurements were accurate enough for recording and analyzing relative diel changes of leaf thickness, which were considerably different to those of leaf area. Relative growth rates of leaf area were consistently positive and highest during 'nights', while diel changes in thickness fluctuated more and were temporarily negative, particularly during 'evenings'. The method is suitable for non-invasive, accurate monitoring of diel variation in leaf volume. Moreover, our results indicate that diel rhythms of leaf area and thickness show some similarity but are not tightly coupled. These differences could be due to both intrinsic control mechanisms and different sensitivities to environmental factors.

Entities:  

Keywords:  Circadian rhythm; Diel leaf growth pattern; Growth monitoring; Imaging; Leaf volume; Plant phenotyping

Mesh:

Year:  2017        PMID: 28770485     DOI: 10.1007/s10265-017-0967-8

Source DB:  PubMed          Journal:  J Plant Res        ISSN: 0918-9440            Impact factor:   2.629


  43 in total

1.  Plant structure visualization by high-resolution X-ray computed tomography.

Authors:  Stijn Dhondt; Hannes Vanhaeren; Denis Van Loo; Veerle Cnudde; Dirk Inzé
Journal:  Trends Plant Sci       Date:  2010-06-09       Impact factor: 18.313

2.  Visualizing plant development and gene expression in three dimensions using optical projection tomography.

Authors:  Karen Lee; Jerome Avondo; Harris Morrison; Lilian Blot; Margaret Stark; James Sharpe; Andrew Bangham; Enrico Coen
Journal:  Plant Cell       Date:  2006-08-11       Impact factor: 11.277

Review 3.  A method to construct dose-response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data.

Authors:  Hendrik Poorter; Ulo Niinemets; Achim Walter; Fabio Fiorani; Uli Schurr
Journal:  J Exp Bot       Date:  2010-01-04       Impact factor: 6.992

4.  Variability in leaf optical properties among 26 species from a broad range of habitats.

Authors:  A Knapp; G Carter
Journal:  Am J Bot       Date:  1998-07       Impact factor: 3.844

5.  Assessing potato tuber diel growth by means of X-ray computed tomography.

Authors:  Eduardo Pérez-Torres; Norbert Kirchgessner; Johannes Pfeifer; Achim Walter
Journal:  Plant Cell Environ       Date:  2015-06-04       Impact factor: 7.228

6.  Leaf specific mass confounds leaf density and thickness.

Authors:  E T F Witkowski; Byron B Lamont
Journal:  Oecologia       Date:  1991-12       Impact factor: 3.225

Review 7.  Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis.

Authors:  Hendrik Poorter; Ülo Niinemets; Lourens Poorter; Ian J Wright; Rafael Villar
Journal:  New Phytol       Date:  2009       Impact factor: 10.151

8.  Photosynthetic and anatomical responses of Eucalyptus grandis leaves to potassium and sodium supply in a field experiment.

Authors:  Patricia Battie-Laclau; Jean-Paul Laclau; Constance Beri; Lauriane Mietton; Marta R Almeida Muniz; Bruna Cersózimo Arenque; Marisa DE Cassia Piccolo; Lionel Jordan-Meille; Jean-Pierre Bouillet; Yann Nouvellon
Journal:  Plant Cell Environ       Date:  2013-06-10       Impact factor: 7.228

9.  Diel leaf growth of soybean: a novel method to analyze two-dimensional leaf expansion in high temporal resolution based on a marker tracking approach (Martrack Leaf).

Authors:  Michael Mielewczik; Michael Friedli; Norbert Kirchgessner; Achim Walter
Journal:  Plant Methods       Date:  2013-07-25       Impact factor: 4.993

10.  High-to-low CO2 acclimation reveals plasticity of the photorespiratory pathway and indicates regulatory links to cellular metabolism of Arabidopsis.

Authors:  Stefan Timm; Michael Mielewczik; Alexandra Florian; Silja Frankenbach; Anne Dreissen; Nadine Hocken; Alisdair R Fernie; Achim Walter; Hermann Bauwe
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

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  1 in total

1.  Accelerating leaf area measurement using a volumetric approach.

Authors:  Abbas Haghshenas; Yahya Emam
Journal:  Plant Methods       Date:  2022-05-09       Impact factor: 5.827

  1 in total

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