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Complex animal societies consist of a plethora of interactions between members. To successfully thrive they must be able to recognize members and their kin, and to understand how they do this we need sufficient and reliable methods of testing. Eusocial insects are especially good at recognizing their nestmates, but the

Complex animal societies consist of a plethora of interactions between members. To successfully thrive they must be able to recognize members and their kin, and to understand how they do this we need sufficient and reliable methods of testing. Eusocial insects are especially good at recognizing their nestmates, but the exact mechanism or how well they can discriminate is unknown. Ants achieve nestmate recognition by identifying varying proportions of cuticular hydrocarbons. Previous studies have shown ants can be trained to discriminate between pairs of hydrocarbons. This study aims to compare two methodologies previously shown to demonstrate odor learning to identify which one is the most promising to use for future odor learning experiments. The two methods tested were adapted from Sharma et al. (2015) and Guerrieri and d’Ettorre (2010). The results showed that the Guerrieri method demonstrated learning better and was more reliable and faster than the Sharma method. The Guerrieri method should be used in future experiments regarding odor learning discrimination
ContributorsDavis, Cole (Author) / Liebig, Juergen (Thesis director) / Stephen, Pratt (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05