Identifying Developmental Zones in Maize Lateral Root Cell Length Profiles using Multiple Change-Point Models

Beatriz Moreno-Ortega 1 Guillaume Fort 1 Bertrand Muller 1 Yann Guédon 2, 3
3 VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique, Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR51
Abstract : The identification of the limits between the cell division, elongation and mature zones in the root apex is still a matter of controversy when methods based on cellular features, molecular markers or kinematics are compared while methods based on cell length profiles have been comparatively underexplored. Segmentation models were developed to identify developmental zones within a root apex on the basis of epidermal cell length profiles. Heteroscedastic piecewise linear models were estimated for maize lateral roots of various lengths of both wild type and two mutants affected in auxin signaling (rtcs and rum-1). The outputs of these individual root analyses combined with morphological features (first root hair position and root diameter) were then globally analyzed using principal component analysis. Three zones corresponding to the division zone, the elongation zone and the mature zone were identified in most lateral roots while division zone and sometimes elongation zone were missing in arrested roots. Our results are consistent with an auxin-dependent coordination between cell flux, cell elongation and cell differentiation. The proposed segmentation models could extend our knowledge of developmental regulations in longitudinally organized plant organs such as roots, monocot leaves or internodes.
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Frontiers in Plant Science, Frontiers, 2017, 8, pp.1-19. 〈10.3389/fpls.2017.01750〉
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Beatriz Moreno-Ortega, Guillaume Fort, Bertrand Muller, Yann Guédon. Identifying Developmental Zones in Maize Lateral Root Cell Length Profiles using Multiple Change-Point Models. Frontiers in Plant Science, Frontiers, 2017, 8, pp.1-19. 〈10.3389/fpls.2017.01750〉. 〈hal-01651169〉

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