Unit 4: Classification

Table of Contents

History and Types of Classification

Plant classification systems have evolved from being based on simple, arbitrary traits to complex systems based on evolutionary relationships.

  1. Artificial Systems:
    • Based on one or a few, easily observable (but not necessarily related) characters.
    • Example: Linnaeus's "sexual system" (1735), which classified plants into 24 classes based only on the number and arrangement of stamens.
    • Advantage: Easy to use for identification (like a dictionary).
    • Disadvantage: Does not reflect natural relationships (e.g., plants that are unrelated were grouped together just because they had 5 stamens).
  2. Natural Systems:
    • Based on overall similarity, using as many morphological characters as possible (e.g., flower, fruit, leaf, stem).
    • Example: Bentham and Hooker's system (1862-1883).
    • Advantage: Groups related plants together, very practical for identification and herbarium organization.
    • Disadvantage: Based on similarity, not necessarily on evolutionary history (pre-Darwinian).
  3. Phylogenetic Systems:
    • Based on evolutionary relationships (phylogeny). They try to reconstruct the "family tree" of plants.
    • Example: Engler & Prantl (1887-1915), Takhtajan (1966), and the modern APG (Angiosperm Phylogeny Group) system.
    • Advantage: Scientifically most accurate, reflects evolutionary history.
    • Disadvantage: Can be complex; relationships are often based on non-visible (e.g., molecular) data.

Bentham and Hooker System

Published in Genera Plantarum (1862-1883), this is the most famous natural system of classification.

Outline:

Merits and Demerits

Merits:

Demerits:

Engler and Prantl System

Published in Die Natürlichen Pflanzenfamilien (1887-1915), this was the first major phylogenetic system.

Outline:

Merits and Demerits

Merits:

Demerits:

Takhtajan System

A modern phylogenetic system (1966, with later revisions) that incorporates a wide range of evidence, including morphology, anatomy, embryology, and phytochemistry.

Outline:

Numerical Taxonomy (Phenetics)

A system of classification that aims to be objective by using mathematical methods and computer algorithms. It is not based on evolution, but on overall similarity.

Process:

  1. Select OTUs: Choose the "Operational Taxonomic Units" (e.g., the species you want to classify).
  2. Select Characters: Choose as many characters as possible (e.g., 100+).
    • Characters: e.g., "Leaf shape", "Petal color", "Stamen number".
    • Character Weighting: In pure phenetics, all characters are given equal weight to be objective.
    • Coding: Convert the characters into a numerical form (e.g., 0 = absent, 1 = present; or 1=red, 2=blue, 3=yellow).
  3. Cluster Analysis: A computer algorithm compares the coded data for all OTUs and calculates a "similarity coefficient" (a score of how similar each pair is).
  4. Generate Phenogram: The computer produces a tree-like diagram called a phenogram, which clusters the OTUs based on their similarity score.

Cladistics (Phylogenetic Systematics)

This is the dominant method used today to reconstruct evolutionary relationships. It was developed by Willi Hennig.

Principle: Cladistics classifies organisms based on phylogeny (evolutionary descent), not just similarity. It groups organisms that share a recent common ancestor.

Key Concepts:

Cladograms vs. Phenograms

Feature Phenogram (from Numerical Taxonomy) Cladogram (from Cladistics)
Basis Overall similarity (phenetic) Shared derived characters (phylogenetic)
What the branches mean The length represents the degree of similarity. The branching points (nodes) represent common ancestors.
Goal To group by similarity (objective). To reconstruct the evolutionary "family tree".