TY - JOUR
T1 - Multiscale quantification of morphodynamics
T2 - Morpholeaf software for 2D shape analysis
AU - Biot, Eric
AU - Cortizo, Millán
AU - Burguet, Jasmine
AU - Kiss, Annamaria
AU - Oughou, Mohamed
AU - Maugarny-Calès, Aude
AU - Gonçalves, Beatriz
AU - Adroher, Bernard
AU - Andrey, Philippe
AU - Boudaoud, Arezki
AU - Laufs, Patrick
N1 - Publisher Copyright:
© 2016 Published by The Company of Biologists Ltd.
PY - 2016/9/15
Y1 - 2016/9/15
N2 - A major challenge in morphometrics is to analyse complex biological shapes formed by structures at different scales. Leaves exemplify this challenge as they combine differences in their overall shape with smaller shape variations at their margin, leading to lobes or teeth.Current methods based on contour or on landmark analysis are successful in quantifying either overall leaf shape or leaf margin dissection, but fail in combining the two. Here, we present a comprehensive strategy and its associated freely available platform for the quantitative, multiscale analysis of the morphology of leaves with different architectures. For this, biologically relevant landmarks are automatically extracted and hierarchised, and used to guide the reconstruction of accurate average contours that properly represent both global and local features. Using this method, we establish a quantitative framework of the developmental trajectory of Arabidopsis leaves of different ranks and retrace the origin of leaf heteroblasty. When applied to different mutant forms, our method can contribute to a better understanding of gene function, as we show here for the role of CUC2 during Arabidopsis leaf serration. Finally, we illustrate the wider applicability of our tool by analysing hand morphometrics.
AB - A major challenge in morphometrics is to analyse complex biological shapes formed by structures at different scales. Leaves exemplify this challenge as they combine differences in their overall shape with smaller shape variations at their margin, leading to lobes or teeth.Current methods based on contour or on landmark analysis are successful in quantifying either overall leaf shape or leaf margin dissection, but fail in combining the two. Here, we present a comprehensive strategy and its associated freely available platform for the quantitative, multiscale analysis of the morphology of leaves with different architectures. For this, biologically relevant landmarks are automatically extracted and hierarchised, and used to guide the reconstruction of accurate average contours that properly represent both global and local features. Using this method, we establish a quantitative framework of the developmental trajectory of Arabidopsis leaves of different ranks and retrace the origin of leaf heteroblasty. When applied to different mutant forms, our method can contribute to a better understanding of gene function, as we show here for the role of CUC2 during Arabidopsis leaf serration. Finally, we illustrate the wider applicability of our tool by analysing hand morphometrics.
KW - 2D:4D finger length ratio
KW - Heteroblasty
KW - Image analysis
KW - Leaf
KW - Multiscale morphometrics
UR - http://www.scopus.com/inward/record.url?scp=84987837323&partnerID=8YFLogxK
U2 - 10.1242/dev.134619
DO - 10.1242/dev.134619
M3 - Article (Academic Journal)
C2 - 27387872
AN - SCOPUS:84987837323
SN - 0950-1991
VL - 143
SP - 3417
EP - 3428
JO - Development (Cambridge)
JF - Development (Cambridge)
IS - 18
ER -