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Nutritional Asymmetries Are Related to Division of Labor in a Queenless Ant

Overview of attention for article published in PLOS ONE, August 2011
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Title
Nutritional Asymmetries Are Related to Division of Labor in a Queenless Ant
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0024011
Pubmed ID
Authors

Chris R. Smith, Andrew V. Suarez, Neil D. Tsutsui, Sarah E. Wittman, Benjamin Edmonds, Alex Freauff, Chadwick V. Tillberg

Abstract

Eusocial species exhibit pronounced division of labor, most notably between reproductive and non-reproductive castes, but also within non-reproductive castes via morphological specialization and temporal polyethism. For species with distinct worker and queen castes, age-related differences in behavior among workers (e.g. within-nest tasks versus foraging) appear to result from physiological changes such as decreased lipid content. However, we know little about how labor is divided among individuals in species that lack a distinct queen caste. In this study, we investigated how fat storage varied among individuals in a species of ant (Dinoponera australis) that lacks a distinct queen caste and in which all individuals are morphologically similar and capable of reproduction (totipotent at birth). We distinguish between two hypotheses, 1) all individuals are physiologically similar, consistent with the possibility that any non-reproductive may eventually become reproductive, and 2) non-reproductive individuals vary in stored fat, similar to highly eusocial species, where depletion is associated with foraging and non-reproductives have lower lipid stores than reproducing individuals. Our data support the latter hypothesis. Location in the nest, the probability of foraging, and foraging effort, were all associated with decreased fat storage.

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Geographical breakdown

Country Count As %
Brazil 1 1%
Czechia 1 1%
United Kingdom 1 1%
Denmark 1 1%
Poland 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 13 19%
Student > Master 8 12%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 70%
Environmental Science 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Business, Management and Accounting 1 1%
Earth and Planetary Sciences 1 1%
Other 0 0%
Unknown 12 18%