Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A stochastic approach to phyllotactic patterns analysis.

Bernard Jeune1, Denis Barabé

  • 1Laboratoire de Cytologie Expérimentale et Morphogenèse végétale, Université Pierre et Marie Curie, Bât. N2, 4 place Jussieu, 75 252 Paris, Cedex 05, France.

Journal of Theoretical Biology
|September 21, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mosaic loss of Y chromosome and the association to mortality in Danish men aged 56-100 years.

Mechanisms of ageing and development·2024
Same author

Cognitively high-performing oldest old individuals are physically active and have strong motor skills-A study of the Danish 1905 and 1915 birth cohorts.

Archives of gerontology and geriatrics·2024
Same author

Sex differences in vision and hearing impairments across age and European regions : Findings from SHARE.

Wiener klinische Wochenschrift·2023
Same author

A neuronal blood marker is associated with mortality in old age.

Nature aging·2023
Same author

Development in life expectancy with good and poor cognitive function in the elderly European Population from 2004-05 to 2015.

European journal of epidemiology·2022
Same author

Improved cardiovascular profile in Danish centenarians? A comparative study of two birth cohorts born 20 years apart.

European geriatric medicine·2022

A new statistical method quantifies order in plant leaf arrangement (phyllotaxis). This approach accurately predicts leaf distribution patterns, revealing hidden organizational structures in plant development.

Area of Science:

  • Plant Biology
  • Developmental Biology
  • Mathematical Modeling

Background:

  • Phyllotaxis, the arrangement of leaves on a plant stem, exhibits diverse patterns like spiral, verticillate, and distichous arrangements.
  • Quantifying the degree of order and randomness in these patterns is crucial for understanding plant development and genetic regulation.
  • Existing methods may not fully capture the nuances of partially random phyllotactic systems.

Purpose of the Study:

  • To develop a statistical method for characterizing the degree of order in phyllotactic systems.
  • To create equations for theoretically estimating the number of regularly distributed leaves in partially random systems.
  • To enable quantitative predictions of different phyllotactic patterns (verticillate, distichous, spiral, random).

Main Methods:

Related Experiment Videos

  • Development of novel statistical equations for theoretical estimation of leaf distribution.
  • Application of the method to analyze phyllotactic mutants, specifically the 'sho' mutants.
  • Quantitative analysis of leaf patterns, including distichous and random distributions.

Main Results:

  • The developed equations provide simple and accurate quantitative predictions for phyllotactic patterns.
  • The method can reveal organizational patterns not apparent from a priori planar representations.
  • Successfully applied to predict leaf distribution in distichous and random patterns of 'sho' mutants.

Conclusions:

  • The statistical method effectively characterizes order in phyllotactic systems.
  • It offers a powerful tool for quantitative analysis and prediction of leaf arrangement patterns.
  • The approach aids in understanding the genetic basis of phyllotactic organization, as demonstrated with the 'sho' mutant case study.