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Navas-Zuloaga MG, Baudier KM, Fewell JH, Ben-Asher N, Pavlic TP, Kang Y. A modeling framework for adaptive collective defense: crisis response in social-insect colonies. J Math Biol 2023; 87:87. [PMID: 37966545 DOI: 10.1007/s00285-023-01995-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 08/26/2023] [Accepted: 09/07/2023] [Indexed: 11/16/2023]
Abstract
Living systems, from cells to superorganismic insect colonies, have an organizational boundary between inside and outside and allocate resources to defend it. Whereas the micro-scale dynamics of cell walls can be difficult to study, the adaptive allocation of workers to defense in social-insect colonies is more conspicuous. This is particularly the case for Tetragonisca angustula stingless bees, which combine different defensive mechanisms found across other colonial animals: (1) morphological specialization (distinct soldiers (majors) are produced over weeks); (2) age-based polyethism (young majors transition to guarding tasks over days); and (3) task switching (small workers (minors) replace soldiers within minutes under crisis). To better understand how these timescales of reproduction, development, and behavior integrate to balance defensive demands with other colony needs, we developed a demographic Filippov ODE system to study the effect of these processes on task allocation and colony size. Our results show that colony size peaks at low proportions of majors, but colonies die if minors are too plastic or defensive demands are too high or if there is a high proportion of quickly developing majors. For fast maturation, increasing major production may decrease defenses. This model elucidates the demographic factors constraining collective defense regulation in social insects while also suggesting new explanations for variation in defensive allocation at smaller scales where the mechanisms underlying defensive processes are not easily observable. Moreover, our work helps to establish social insects as model organisms for understanding other systems where the transaction costs for component turnover are nontrivial, as in manufacturing systems and just-in-time supply chains.
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Affiliation(s)
| | - Kaitlin M Baudier
- School of Biological, Environmental, and Earth Sciences, The University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - Jennifer H Fewell
- School of Life Sciences, Arizona State University, Tempe, AZ, 85281, USA
| | - Noam Ben-Asher
- Data Science Directorate, SimSpace Cooperation, Boston, MA, USA
| | - Theodore P Pavlic
- School of Life Sciences, Arizona State University, Tempe, AZ, 85281, USA
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, 85281, USA
- School of Sustainability, Arizona State University, Tempe, AZ, 85281, USA
- School of Complex Adaptive Systems, Arizona State University, Tempe, AZ, 85281, USA
| | - Yun Kang
- Sciences and Mathematics Faculty, College of Integrative Sciences and Arts, Arizona State University, Tempe, AZ, 85281, USA.
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Holford M, Normark BB. Integrating the Life Sciences to Jumpstart the Next Decade of Discovery. Integr Comp Biol 2021; 61:1984-1990. [PMID: 34788424 DOI: 10.1093/icb/icab194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 09/15/2021] [Indexed: 12/16/2022] Open
Affiliation(s)
- Mandë Holford
- Department of Chemistry and Biochemistry, Hunter College, NY, NY 10065, USA.,Department of Invertebrate Zoology, The American Museum of History, NY, NY 10026, USA.,PhD programs in Biology, Chemistry and Biochemistry, CUNY Graduate Center, NY, NY 10016, USA
| | - Benjamin B Normark
- Department of Biology and Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts, Amherst, MA 01003, USA
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