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Related Concept Videos

Phylogeny01:23

Phylogeny

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Morphogenesis02:19

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Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Relations and dependencies between morphological characters.

Jürgen Jost1,2

  • 1Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. jjost@mis.mpg.de.

Theory in Biosciences = Theorie in Den Biowissenschaften
|June 2, 2017
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Summary
This summary is machine-generated.

This study introduces mathematical frameworks to address the complexities and subjective aspects of biological characters used in classification. It aims to provide a more robust and objective method for analyzing taxonomic data.

Keywords:
Dependencies between charactersFiber bundleFunctional correlationsMorphologyStructural constraintsTaxonomic characterTensor product

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Area of Science:

  • Biological Classification
  • Taxonomy
  • Phylogenetics

Background:

  • Biological characters are key properties for distinguishing taxa.
  • Interdependencies between characters pose challenges in classification.
  • Subjectivity in character analysis can lead to historical controversies.

Observation:

  • Character relationships stem from structural, developmental, or functional constraints.
  • Character analysis in data sets can be subjective.
  • Existing methods may not fully capture character interdependencies.

Findings:

  • Development of algebraic schemes for biological character analysis.
  • Application of geometric schemes to model character relationships mathematically.
  • A novel mathematical framework to address character interdependencies and subjectivity.

Implications:

  • Potential for more objective and rigorous biological classification.
  • Improved phylogenetic analyses through better character data handling.
  • Resolution of long-standing controversies in evolutionary biology through mathematical formalization.