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Cell types as species: Exploring a metaphor.

Jeff J Doyle1

  • 1Section of Plant Biology and Section of Plant Breeding and Genetics, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States.

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Summary
This summary is machine-generated.

The definition of cell types is debated, with continuous variation challenging discrete classifications. Parallels with species definitions in evolutionary biology offer new perspectives for cell biology research.

Keywords:
cell lineagecell statecell typephylogenysingle cell transcriptomicsspecies concepts

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Area of Science:

  • Cell Biology
  • Evolutionary Biology
  • Systematics

Background:

  • The concept of "cell type" is fundamental yet controversial in cell biology.
  • Historical classifications based on morphology, physiology, or location are challenged by new data.
  • Single-cell transcriptomics reveal continuous variation, questioning discrete cell type definitions.

Purpose of the Study:

  • To explore the metaphor of "cell types as species" to address definitional challenges in cell biology.
  • To highlight parallels between cell type differentiation and species divergence.
  • To inspire cross-disciplinary solutions for classifying biological variation.

Main Methods:

  • Comparative analysis of conceptual frameworks in cell biology and systematics.
  • Examination of philosophical debates on classification (individuals vs. groups).
  • Review of molecular data's impact on defining biological entities in both fields.

Main Results:

  • Significant parallels exist between defining cell types and species, including lineage dynamics (trees/networks).
  • Both fields grapple with continuous variation versus discrete categories.
  • Philosophical underpinnings of classification (e.g., homeostatic property clusters) are relevant to both.

Conclusions:

  • The "cell types as species" metaphor provides a valuable framework for understanding cell variation.
  • Cross-disciplinary insights can advance models of cell differentiation and evolutionary divergence.
  • Further exploration of these parallels may yield novel solutions for biological classification.