Caste Transition and Reversion in Ant Colonies.

Comzit Opachaloemphan, Francisco Carmona-Aldana, Hua Yan
Author Information
  1. Comzit Opachaloemphan: Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, NY, USA.
  2. Francisco Carmona-Aldana: Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, NY, USA.
  3. Hua Yan: Department of Biology, University of Florida, Gainesville, FL, USA.

Abstract

Living organisms possess the ability to respond to environmental cues and adapt their behaviors and physiologies for survival. Eusocial insects, such as ants, bees, wasps, and termites, have evolved advanced sociality: living together in colonies where individuals innately develop into reproductive and non-reproductive castes. These castes exhibit remarkably distinct behaviors and physiologies that support their specialized roles in the colony. Among ant species, females stand out with their highly plastic caste phenotypes that can be easily manipulated in a laboratory environment. In this protocol, we provide detailed instructions on how to generate H. saltator ant colonies, define castes based on behavioral and physiological phenotypes, and experimentally induce caste switches, including the transition from a non-reproductive worker to a reproductive gamergate and vice versa (known as reversion). The unusual features of H. saltator make it a valuable tool to investigate cellular and molecular mechanisms underlying phenotypic plasticity in eusocial organisms. Key features is one of few ant species showing remarkable caste plasticity with striking phenotypic changes, being a useful subject for studying behavioral plasticity. Caste switches in can be easily manipulated in a controlled laboratory environment by controlling the presence of reproductive females in a colony. The relatively large size of females allows researchers to dissect various tissues of interest and conduct detailed phenotypic analyses.

Keywords

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Grants

  1. R01 AG058762/NIA NIH HHS
  2. R01 DC020203/NIDCD NIH HHS
  3. R01 EY013010/NEI NIH HHS
  4. R21 GM114457/NIGMS NIH HHS

Word Cloud

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