Masters Theses

Keywords and Phrases

Antioxidants; Drosophila Melanogaster; Glutathione; Lifespan; Lifespan Prediction; Sleep


”Sleep has previously been associated with lifespan. Monitoring sleep in any given fly over their lifetime facilitates the ability to predict the lifespan of that given fly. Using this estimate, lifespan can potentially correlate with biological age to identify when health parameters have declined.

To confirm that the prediction algorithm could identify short and long-lived flies, glutathione levels in heads and bodies were compared between two groups. The results showed this to be consistent in the bodies of wild-type Canton S male flies, and showed that glutathione was decreased in the predicted biologically older flies. These data show that glutathione levels may provide a mechanism that links biological aging with lifespan. These novel methods provide a process by which lifespan can be estimated in alive flies to be used to identify factors that correlate with biological aging and test interventions that may increase lifespan”--Abstract, page iii.


Thimgan, Matthew S.

Committee Member(s)

Olbricht, Gayla R.
Frank, Ronald L.


Biological Sciences

Degree Name

M.S. in Applied and Environmental Biology


Missouri University of Science and Technology

Publication Date

Spring 2016


xi, 75 pages

Note about bibliography

Includes bibliographic references (pages 67-74).


© 2016 Courtney Helen Ann Fiebelman, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 12078

Included in

Biology Commons