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Life Span Evolution in Eusocial Workers—A Theoretical Approach to Understanding the Effects of Extrinsic Mortality in a Hierarchical System

Overview of attention for article published in PLOS ONE, April 2013
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Title
Life Span Evolution in Eusocial Workers—A Theoretical Approach to Understanding the Effects of Extrinsic Mortality in a Hierarchical System
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061813
Pubmed ID
Authors

Boris H. Kramer, Ralf Schaible

Abstract

While the extraordinary life span of queens and division of labor in eusocial societies have been well studied, it is less clear which selective forces act on the short life span of workers. The disparity of life span between the queen and the workers is linked to a basic issue in sociobiology: How are the resources in a colony allocated between colony maintenance and reproduction? Resources for somatic maintenance of the colony can either be invested into quality or quantity of workers. Here, we present a theoretical optimization model that uses a hierarchical trade-off within insect colonies and extrinsic mortality to explain how different aging phenotypes could have evolved to keep resources secure in the colony. The model points to the significance of two factors. First, any investment that would generate a longer intrinsic life span for workers is lost if the individual dies from external causes while foraging. As a consequence, risky environments favor the evolution of workers with a shorter life span. Second, shorter-lived workers require less investment than long-lived ones, allowing the colony to allocate these resources to sexual reproduction or colony growth.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 4%
United States 2 3%
Switzerland 1 1%
United Kingdom 1 1%
Brazil 1 1%
Unknown 71 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 33%
Researcher 18 23%
Student > Bachelor 9 11%
Student > Master 6 8%
Professor > Associate Professor 5 6%
Other 7 9%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 63%
Biochemistry, Genetics and Molecular Biology 9 11%
Environmental Science 4 5%
Computer Science 1 1%
Earth and Planetary Sciences 1 1%
Other 3 4%
Unknown 11 14%