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Animal Cell Differentiation Patterns Suppress Somatic Evolution

Overview of attention for article published in PLoS Computational Biology, December 2007
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Title
Animal Cell Differentiation Patterns Suppress Somatic Evolution
Published in
PLoS Computational Biology, December 2007
DOI 10.1371/journal.pcbi.0030250
Pubmed ID
Authors

John W Pepper, Kathleen Sprouffske, Carlo C Maley

Abstract

Cell differentiation in multicellular organisms has the obvious function during development of creating new cell types. However, in long-lived organisms with extensive cell turnover, cell differentiation often continues after new cell types are no longer needed or produced. Here, we address the question of why this is true. It is believed that multicellular organisms could not have arisen or been evolutionarily stable without possessing mechanisms to suppress somatic selection among cells within organisms, which would otherwise disrupt organismal integrity. Here, we propose that one such mechanism is a specific pattern of ongoing cell differentiation commonly found in metazoans with cell turnover, which we call "serial differentiation." This pattern involves a sequence of differentiation stages, starting with self-renewing somatic stem cells and proceeding through several (non-self-renewing) transient amplifying cell stages before ending with terminally differentiated cells. To test the hypothesis that serial differentiation can suppress somatic evolution, we used an agent-based computer simulation of cell population dynamics and evolution within tissues. The results indicate that, relative to other, simpler patterns, tissues organized into serial differentiation experience lower rates of detrimental cell-level evolution. Self-renewing cell populations are susceptible to somatic evolution, while those that are not self-renewing are not. We find that a mutation disrupting differentiation can create a new self-renewing cell population that is vulnerable to somatic evolution. These results are relevant not only to understanding the evolutionary origins of multicellularity, but also the causes of pathologies such as cancer and senescence in extant metazoans, including humans.

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Geographical breakdown

Country Count As %
United States 6 6%
Spain 3 3%
Netherlands 1 1%
Chile 1 1%
Italy 1 1%
Portugal 1 1%
Norway 1 1%
Belgium 1 1%
Unknown 81 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 25%
Student > Ph. D. Student 19 20%
Student > Master 9 9%
Student > Bachelor 7 7%
Professor 7 7%
Other 20 21%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 49%
Medicine and Dentistry 8 8%
Biochemistry, Genetics and Molecular Biology 7 7%
Social Sciences 3 3%
Computer Science 2 2%
Other 18 19%
Unknown 11 11%