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Positional information in cells and organisms.

J Frankel1

  • 1Department of Biological Sciences, University of Iowa, 138 Biology Bldg, Iowa City, IA 52242-1324, USA.

Trends in Cell Biology
|September 1, 1992
PubMed
Summary
This summary is machine-generated.

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Pattern formation in multicellular organisms may have evolved from cytoplasmic structural unit multiplication in unicellular ancestors, not nuclear multiplication. Ciliates demonstrate complex patterning in single-celled organisms.

Area of Science:

  • Developmental Biology
  • Cell Biology
  • Evolutionary Biology

Background:

  • Pattern formation processes are typically viewed as distinct between unicellular and multicellular life.
  • General concepts like regional differences and polar axis organization have been unifying ideas.
  • Specific developmental concepts such as induction, fields, and gradients are usually applied to multicellular organisms.

Purpose of the Study:

  • To propose an evolutionary origin for multicellular pattern formation.
  • To suggest that pattern formation evolved in response to cytoplasmic structural unit multiplication.
  • To highlight ciliates as a model for understanding early pattern formation.

Main Methods:

  • Conceptual analysis linking unicellular and multicellular development.

Related Experiment Videos

  • Examination of cytoplasmic structural units in pattern formation.
  • Case study of ciliate organisms as examples of complex unicellular patterning.

    • Main Results:

    • Multicellular pattern formation likely evolved from processes in unicellular progenitors.
    • The multiplication of cytoplasmic structural units, rather than nuclei, is proposed as the driving force.
    • Ciliates exhibit intricate patterns, supporting the hypothesis in a uninucleate organism.

    Conclusions:

    • The study challenges the strict dichotomy between unicellular and multicellular pattern formation.
    • Evolutionary insights suggest a continuum in the development of pattern formation mechanisms.
    • Ciliates serve as a crucial model for understanding the evolutionary roots of biological complexity.