Abstract
A main challenge in the analysis of division of labor in insect societies characterized by worker polymorphism has been identifying the number of physical castes and determining their relationship to task performance. We addressed this question using the extremely polymorphic leafcutter ant Atta cephalotes as a model by measuring 22 morphological characters and applying multivariate Gaussian mixture modeling to define worker size-class boundaries. Our statistical approach discriminated five physical worker size classes (subcastes) and found continuous variation in most morphological characters. Some worker size classes showed patterns of covariance, modularity, and integration in head, mandible, and leg traits, suggesting biomechanical functionality in tasks such as leaf cutting. Task repertoires and act frequencies were recorded to identify how fungal gardening, brood care, leaf-harvesting, and other tasks were distributed across worker size groups. Results showed that small and mid-sized media workers performed more diverse and complex tasks, including leaf harvesting, than workers of other size classes. Minims participated in fungal-gardening and nursing tasks, whereas large medias mainly participated in leafcutting and majors made few direct contributions to fungal cultivation. Results of our integrative analyses demonstrate the existence of an unexpectedly large number of worker size classes that can differ significantly in performance of agricultural tasks. However, overlap in task repertoires of workers at size-class boundaries suggests that not all morphologically distinct groups display discrete behavioral profiles. Morphological groups are instead distinguished by a combination of the tasks that each performs and their relative frequencies.
Significance statement
The evolutionary coupling of behavior and morphology is central to understanding division of labor in insect societies. Our work applies robust statistical modelling to offer a novel analysis of worker physical caste categorization based on extensive morphometric sampling. Our method improves upon previous approaches by incorporating measurements of a large number of diverse morphological traits likely involved in task performance to examine worker physical caste evolution. We integrate morphological evolution with behavioral data on relative task performance rates and task repertoire size to describe the morphological and behavioral space of size-variable workers. Our approach provides methods to quantitatively analyze division of labor and behavioral performance, and offers new insights into worker trait modularity and integration and task performance associated with the organization of complex insect societies.
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Data availability
All behavior and morphology data are available in supplementary tables.
Code availability
Code used for analysis is available at: https://github.com/Imuratore-bio/ant-morphology-behavior.
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Acknowledgements
We thank Associate Editor William Hughes and two anonymous reviewers for their helpful recommendations for our manuscript. We gratefully acknowledge the help of Dr. Sean Mullen (feedback on manuscript and study design), Dr. Ehab Abouheif (worker size distribution data sharing), Dr. Waring Trible (data discussion), Eli Levitt (Fig. organization), Zach Coto (animal husbandry and data discussion), and Frank Azorsa (field collection, animal husbandry, and data discussion). We are grateful to Dr. Christopher Starr and Ricardo Pillai for assistance with field work in Trinidad and to Andrew Hoadley for colony collection. Live colonies were collected in Trinidad in compliance with the laws of Trinidad and Tobago and imported to the USA in compliance with the conditions of USDA APHIS Permit P526P-12-04067.
Funding
This study was funded by the National Science Foundation grants IOS 1354291 and IOS 1953393 to JFAT, an award from the Undergraduate Research Opportunities Program at Boston University to FHZ, and the Department of Biology Brenton R. Lutz Award and the Belamarich Dissertation Writing Award to IBM.
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IBM, JFAT, and II designed the study. IBM drafted the manuscript. IBM, JFAT, and II developed the manuscript. IBM, JFAT, and II edited the manuscript. AKH and IBM collected morphometric data. IBM collated and processed raw measurement data. II performed and interpreted clustering analyses of morphological data and other statistical modeling. FHZ collected behavioral data. JFAT secured funding.
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We collected ant colonies in compliance with the conditions of USDA APHIS Permit P526P-12-04067 and in accordance with the laws of countries of origin.
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Muratore, I.B., Ilieş, I., Huzar, A.K. et al. Morphological evolution and the behavioral organization of agricultural division of labor in the leafcutter ant Atta cephalotes. Behav Ecol Sociobiol 77, 70 (2023). https://doi.org/10.1007/s00265-023-03344-4
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DOI: https://doi.org/10.1007/s00265-023-03344-4