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Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines

Ray parenchyma is an essential tissue for tree functioning and survival. This living tissue plays a major role for storage and transport of water, nutrients, and non-structural carbohydrates (NSC), thus regulating xylem hydraulics and growth. However, despite the importance of rays for tree carbon a...

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Autores principales: von Arx, Georg, Arzac, Alberto, Olano, José M., Fonti, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649045/
https://www.ncbi.nlm.nih.gov/pubmed/26635842
http://dx.doi.org/10.3389/fpls.2015.01016
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author von Arx, Georg
Arzac, Alberto
Olano, José M.
Fonti, Patrick
author_facet von Arx, Georg
Arzac, Alberto
Olano, José M.
Fonti, Patrick
author_sort von Arx, Georg
collection PubMed
description Ray parenchyma is an essential tissue for tree functioning and survival. This living tissue plays a major role for storage and transport of water, nutrients, and non-structural carbohydrates (NSC), thus regulating xylem hydraulics and growth. However, despite the importance of rays for tree carbon and water relations, methodological challenges hamper knowledge about ray intra- and inter-tree variability and its ecological meaning. In this study we provide a methodological toolbox for soundly quantifying spatial and temporal variability of different ray features. Anatomical ray features were surveyed in different cutting planes (cross-sectional, tangential, and radial) using quantitative image analysis on stem-wood micro-sections sampled from 41 mature Scots pines (Pinus sylvestris). The percentage of ray surface (PERPAR), a proxy for ray volume, was compared among cutting planes and between early- and latewood to assess measurement-induced variability. Different tangential ray metrics were correlated to assess their similarities. The accuracy of cross-sectional and tangential measurements for PERPAR estimates as a function of number of samples and the measured wood surface was assessed using bootstrapping statistical technique. Tangential sections offered the best 3D insight of ray integration into the xylem and provided the most accurate estimates of PERPAR, with 10 samples of 4 mm(2) showing an estimate within ±6.0% of the true mean PERPAR (relative 95% confidence interval, CI95), and 20 samples of 4 mm(2) showing a CI95 of ±4.3%. Cross-sections were most efficient for establishment of time series, and facilitated comparisons with other widely used xylem anatomical features. Earlywood had significantly lower PERPAR (5.77 vs. 6.18%) and marginally fewer initiating rays than latewood. In comparison to tangential sections, PERPAR was systematically overestimated (6.50 vs. 4.92%) and required approximately twice the sample area for similar accuracy. Radial cuttings provided the least accurate PERPAR estimates. This evaluation of ray parenchyma in conifers and the presented guidelines regarding data accuracy as a function of measured wood surface and number of samples represent an important methodological reference for ray quantification, which will ultimately improve the understanding of the fundamental role of ray parenchyma tissue for the performance and survival of trees growing in stressed environments.
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spelling pubmed-46490452015-12-03 Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines von Arx, Georg Arzac, Alberto Olano, José M. Fonti, Patrick Front Plant Sci Plant Science Ray parenchyma is an essential tissue for tree functioning and survival. This living tissue plays a major role for storage and transport of water, nutrients, and non-structural carbohydrates (NSC), thus regulating xylem hydraulics and growth. However, despite the importance of rays for tree carbon and water relations, methodological challenges hamper knowledge about ray intra- and inter-tree variability and its ecological meaning. In this study we provide a methodological toolbox for soundly quantifying spatial and temporal variability of different ray features. Anatomical ray features were surveyed in different cutting planes (cross-sectional, tangential, and radial) using quantitative image analysis on stem-wood micro-sections sampled from 41 mature Scots pines (Pinus sylvestris). The percentage of ray surface (PERPAR), a proxy for ray volume, was compared among cutting planes and between early- and latewood to assess measurement-induced variability. Different tangential ray metrics were correlated to assess their similarities. The accuracy of cross-sectional and tangential measurements for PERPAR estimates as a function of number of samples and the measured wood surface was assessed using bootstrapping statistical technique. Tangential sections offered the best 3D insight of ray integration into the xylem and provided the most accurate estimates of PERPAR, with 10 samples of 4 mm(2) showing an estimate within ±6.0% of the true mean PERPAR (relative 95% confidence interval, CI95), and 20 samples of 4 mm(2) showing a CI95 of ±4.3%. Cross-sections were most efficient for establishment of time series, and facilitated comparisons with other widely used xylem anatomical features. Earlywood had significantly lower PERPAR (5.77 vs. 6.18%) and marginally fewer initiating rays than latewood. In comparison to tangential sections, PERPAR was systematically overestimated (6.50 vs. 4.92%) and required approximately twice the sample area for similar accuracy. Radial cuttings provided the least accurate PERPAR estimates. This evaluation of ray parenchyma in conifers and the presented guidelines regarding data accuracy as a function of measured wood surface and number of samples represent an important methodological reference for ray quantification, which will ultimately improve the understanding of the fundamental role of ray parenchyma tissue for the performance and survival of trees growing in stressed environments. Frontiers Media S.A. 2015-11-18 /pmc/articles/PMC4649045/ /pubmed/26635842 http://dx.doi.org/10.3389/fpls.2015.01016 Text en Copyright © 2015 von Arx, Arzac, Olano and Fonti. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
von Arx, Georg
Arzac, Alberto
Olano, José M.
Fonti, Patrick
Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title_full Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title_fullStr Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title_full_unstemmed Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title_short Assessing Conifer Ray Parenchyma for Ecological Studies: Pitfalls and Guidelines
title_sort assessing conifer ray parenchyma for ecological studies: pitfalls and guidelines
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4649045/
https://www.ncbi.nlm.nih.gov/pubmed/26635842
http://dx.doi.org/10.3389/fpls.2015.01016
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