Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7346
Title: A colony-level optimization model provides a potential mechanism for the evolution of novel castes in eusocial ant colonies
Authors: NAG, SURYADEEPTO
BHAT, ANANDA SHIKHARA
Dept. of Biology
Keywords: Ant colonies
Caste ratio
Eusociality
Evolution
Group selection
Optimization
2022-AUG-WEEK5
TOC-AUG-2022
2022
Issue Date: Jul-2022
Publisher: Elsevier B.V.
Citation: Heliyon, 8(7), e09882.
Abstract: Ant species often have multiple morphologically distinct ‘castes’ within a single colony. Given that most of these castes are involved in non-reproductive tasks, and since such individuals thus never reproduce, the question of how ant castes can evolve is a non-trivial one. Over the years, several models have been proposed in order to explain the evolution of castes in ant colonies. Here, we attempt to answer this question using an economics-based approach, developing an optimization model that implements adaptation and selection at the colony level. We argue that due to the nature of ant colonies, selection is shifted to the group level, and, due to this, individual ants are sheltered from negative selection. We show that our framework can explain the evolution of novel castes in ant colonies, and discuss the novelty of our model with regard to previous models that have been proposed. We also show that our model is consistent with several empirical observations of ant colonies.
URI: https://doi.org/10.1016/j.heliyon.2022.e09882
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7346
ISSN: 2405-8440
Appears in Collections:JOURNAL ARTICLES

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