OCT 19, 2018

Ant Brains: A Treasure trove of Knowledge

WRITTEN BY: Aswini Kanneganti

Ants are the number one nuisance pest in the United States and getting rid of them can be an uphill battle. For such a tiny species, it is amazing how studying these social insects provides valuable insights. Complex dynamics of ant colonies and understanding the carefully articulated collective foraging behavior without any central control has fascinated Stanford researcher, Dr. Deborah Gordon. She believes that understanding ants’ behavior could help at understanding analogies within other systems, such as the internet, the immune system, and the brain.

For over 30 years her research made significant contributions on the ant’s collective behavior primarily addressing a) How it works, b) How it functions ecologically and c) How it evolves.  She even flew ants to space in 2014! Eight groups of the *Astro-ants* informed, interesting collective search behavior in space enclosures which was published in 2015. In microgravity enclosures, ants frequently lost contact with surfaces, but they persevered and regained contact, but these efforts dampened their foraging behavior. Results from ants in space project and Dr. Gordon’s obsession with studying these tiny critters led to starting an open citizen science project. The goal of the project is to track over 14000 species of ants on earth and ecological influences on their foraging behavior. The website provides all information needed to do an experiment by yourself and upload the results. This is a transformative way to support education and provide opportunities for novice researchers to contribute to real-world research. Learn more about citizen project research from the video below.

2018 seems to be all about ants and what we can learn of them and from them. A few interesting publications,

Dessert ants, Astro-ants, Army ants: these are just the beginning. Implementing innovative and transformative methods like crowd-sourced experimentation, high throughput assays, and mathematical modeling among others might reveal more in the future.

Image Sources: Pratt lab and CellPress