Literature DB >> 20456045

LEAFPROCESSOR: a new leaf phenotyping tool using contour bending energy and shape cluster analysis.

Andreas Backhaus1, Asuka Kuwabara1, Marion Bauch1, Nick Monk2, Guido Sanguinetti3,4, Andrew Fleming1.   

Abstract

*Significant progress has been made in the identification of the genetic factors controlling leaf shape. However, no integrated solution for the quantification and categorization of leaf form has been developed. In particular, the analysis of local changes in margin growth, which define many of the differences in shape, remains problematical. *Here, we report on a software package (LEAFPROCESSOR) which provides a semi-automatic and landmark-free method for the analysis of a range of leaf-shape parameters, combining both single metrics and principal component analysis. In particular, we explore the use of bending energy as a tool for the analysis of global and local leaf perimeter deformation. *As a test case for the implementation of the LEAFPROCESSOR program, we show that this integrated analysis leads to deeper insights into the morphogenic changes underpinning a series of previously identified Arabidopsis leaf-shape mutants. Our analysis reveals that many of these mutants which, at first sight, show similar leaf morphology, can be distinguished via our shape analysis. *The LEAFPROCESSOR program provides a novel integrated tool for the analysis of leaf shape.

Entities:  

Mesh:

Year:  2010        PMID: 20456045     DOI: 10.1111/j.1469-8137.2010.03266.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  18 in total

1.  A shift toward smaller cell size via manipulation of cell cycle gene expression acts to smoothen Arabidopsis leaf shape.

Authors:  Asuka Kuwabara; Andreas Backhaus; Robert Malinowski; Marion Bauch; Lee Hunt; Toshiyuki Nagata; Nick Monk; Guido Sanguinetti; Andrew Fleming
Journal:  Plant Physiol       Date:  2011-06-01       Impact factor: 8.340

2.  LeafJ: an ImageJ plugin for semi-automated leaf shape measurement.

Authors:  Julin N Maloof; Kazunari Nozue; Maxwell R Mumbach; Christine M Palmer
Journal:  J Vis Exp       Date:  2013-01-21       Impact factor: 1.355

3.  LobeFinder: A Convex Hull-Based Method for Quantitative Boundary Analyses of Lobed Plant Cells.

Authors:  Tzu-Ching Wu; Samuel A Belteton; Jessica Pack; Daniel B Szymanski; David M Umulis
Journal:  Plant Physiol       Date:  2016-06-10       Impact factor: 8.340

4.  Xyloglucans fucosylation defects do not alter plant boundary domain definition.

Authors:  Beatriz Gonçalves; Julien Sechet; Nicolas Arnaud
Journal:  Plant Signal Behav       Date:  2018-02-06

5.  Quantifying Shape Changes and Tissue Deformation in Leaf Development.

Authors:  Anne-Gaëlle Rolland-Lagan; Lauren Remmler; Camille Girard-Bock
Journal:  Plant Physiol       Date:  2014-04-07       Impact factor: 8.340

6.  Paleotemperature proxies from leaf fossils reinterpreted in light of evolutionary history.

Authors:  Stefan A Little; Steven W Kembel; Peter Wilf
Journal:  PLoS One       Date:  2010-12-22       Impact factor: 3.240

7.  Developmental reaction norms for water stressed seedlings of succulent cacti.

Authors:  Ulises Rosas; Royce W Zhou; Guillermo Castillo; Margarita Collazo-Ortega
Journal:  PLoS One       Date:  2012-03-30       Impact factor: 3.240

Review 8.  Breeding rice for a changing climate by improving adaptations to water saving technologies.

Authors:  Maria Cristina Heredia; Josefine Kant; M Asaduzzaman Prodhan; Shalabh Dixit; Matthias Wissuwa
Journal:  Theor Appl Genet       Date:  2021-07-03       Impact factor: 5.699

9.  PhenoPhyte: a flexible affordable method to quantify 2D phenotypes from imagery.

Authors:  Jason M Green; Heidi Appel; Erin Macneal Rehrig; Jaturon Harnsomburana; Jia-Fu Chang; Peter Balint-Kurti; Chi-Ren Shyu
Journal:  Plant Methods       Date:  2012-11-06       Impact factor: 4.993

Review 10.  Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement.

Authors:  Joshua N Cobb; Genevieve Declerck; Anthony Greenberg; Randy Clark; Susan McCouch
Journal:  Theor Appl Genet       Date:  2013-03-08       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.