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Generalized additive models reveal the intrinsic complexity of wood formation dynamics
The intra-annual dynamics of wood formation, which involves the passage of newly produced cells through three successive differentiation phases (division, enlargement, and wall thickening) to reach the final functional mature state, has traditionally been described in conifers as three delayed bell-...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638824/ https://www.ncbi.nlm.nih.gov/pubmed/23530132 http://dx.doi.org/10.1093/jxb/ert057 |
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author | Cuny, Henri E. Rathgeber, Cyrille B.K. Kiessé, Tristan Senga Hartmann, Felix P. Barbeito, Ignacio Fournier, Meriem |
author_facet | Cuny, Henri E. Rathgeber, Cyrille B.K. Kiessé, Tristan Senga Hartmann, Felix P. Barbeito, Ignacio Fournier, Meriem |
author_sort | Cuny, Henri E. |
collection | PubMed |
description | The intra-annual dynamics of wood formation, which involves the passage of newly produced cells through three successive differentiation phases (division, enlargement, and wall thickening) to reach the final functional mature state, has traditionally been described in conifers as three delayed bell-shaped curves followed by an S-shaped curve. Here the classical view represented by the ‘Gompertz function (GF) approach’ was challenged using two novel approaches based on parametric generalized linear models (GLMs) and ‘data-driven’ generalized additive models (GAMs). These three approaches (GFs, GLMs, and GAMs) were used to describe seasonal changes in cell numbers in each of the xylem differentiation phases and to calculate the timing of cell development in three conifer species [Picea abies (L.), Pinus sylvestris L., and Abies alba Mill.]. GAMs outperformed GFs and GLMs in describing intra-annual wood formation dynamics, showing two left-skewed bell-shaped curves for division and enlargement, and a right-skewed bimodal curve for thickening. Cell residence times progressively decreased through the season for enlargement, whilst increasing late but rapidly for thickening. These patterns match changes in cell anatomical features within a tree ring, which allows the separation of earlywood and latewood into two distinct cell populations. A novel statistical approach is presented which renews our understanding of xylogenesis, a dynamic biological process in which the rate of cell production interplays with cell residence times in each developmental phase to create complex seasonal patterns. |
format | Online Article Text |
id | pubmed-3638824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36388242014-04-01 Generalized additive models reveal the intrinsic complexity of wood formation dynamics Cuny, Henri E. Rathgeber, Cyrille B.K. Kiessé, Tristan Senga Hartmann, Felix P. Barbeito, Ignacio Fournier, Meriem J Exp Bot Research Paper The intra-annual dynamics of wood formation, which involves the passage of newly produced cells through three successive differentiation phases (division, enlargement, and wall thickening) to reach the final functional mature state, has traditionally been described in conifers as three delayed bell-shaped curves followed by an S-shaped curve. Here the classical view represented by the ‘Gompertz function (GF) approach’ was challenged using two novel approaches based on parametric generalized linear models (GLMs) and ‘data-driven’ generalized additive models (GAMs). These three approaches (GFs, GLMs, and GAMs) were used to describe seasonal changes in cell numbers in each of the xylem differentiation phases and to calculate the timing of cell development in three conifer species [Picea abies (L.), Pinus sylvestris L., and Abies alba Mill.]. GAMs outperformed GFs and GLMs in describing intra-annual wood formation dynamics, showing two left-skewed bell-shaped curves for division and enlargement, and a right-skewed bimodal curve for thickening. Cell residence times progressively decreased through the season for enlargement, whilst increasing late but rapidly for thickening. These patterns match changes in cell anatomical features within a tree ring, which allows the separation of earlywood and latewood into two distinct cell populations. A novel statistical approach is presented which renews our understanding of xylogenesis, a dynamic biological process in which the rate of cell production interplays with cell residence times in each developmental phase to create complex seasonal patterns. Oxford University Press 2013-04 2013-03-25 /pmc/articles/PMC3638824/ /pubmed/23530132 http://dx.doi.org/10.1093/jxb/ert057 Text en © The Author(2) [2013]. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Research Paper Cuny, Henri E. Rathgeber, Cyrille B.K. Kiessé, Tristan Senga Hartmann, Felix P. Barbeito, Ignacio Fournier, Meriem Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title | Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title_full | Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title_fullStr | Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title_full_unstemmed | Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title_short | Generalized additive models reveal the intrinsic complexity of wood formation dynamics |
title_sort | generalized additive models reveal the intrinsic complexity of wood formation dynamics |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3638824/ https://www.ncbi.nlm.nih.gov/pubmed/23530132 http://dx.doi.org/10.1093/jxb/ert057 |
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