The effects of temperature and diet on age grading and population age structure determination in Drosophila

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• 作者：Wen C. Aw ; J. William O. Ballard
• 关键词：Ageing ; Arthropods ; Environmental variables ; High throughput technique ; Near-infrared spectroscopy
• 刊名：Journal of Insect Physiology
• 出版年：2013
• 出版时间：October, 2013
• 年：2013
• 卷：59
• 期：10
• 页码：994-1000
• 全文大小：526 K

文摘

The age structure of natural population is of interest in physiological, life history and ecological studies but it is often difficult to determine. One methodological problem is that samples may need to be invasively sampled preventing subsequent taxonomic curation. A second problem is that it can be very expensive to accurately determine the age structure of given population because large sample sizes are often necessary. In this study, we test the effects of temperature (17 ¡ãC, 23 ¡ãC and 26 ¡ãC) and diet (standard cornmeal and low calorie diet) on the accuracy of the non-invasive, inexpensive and high throughput near-infrared spectroscopy (NIRS) technique to determine the age of Drosophila flies. Composite and simplified calibration models were developed for each sex. Independent sets for each temperature and diet treatments with flies not involved in calibration model were then used to validate the accuracy of the calibration models. The composite NIRS calibration model was generated by including flies reared under all temperatures and diets. This approach permits rapid age measurement and age structure determination in large population of flies as less than or equal to 9 days, or more than 9 days old with 85-97 % and 64-99 % accuracy, respectively. The simplified calibration models were generated by including flies reared at 23 ¡ãC on standard diet. Low accuracy rates were observed when simplified calibration models were used to identify (a) Drosophila reared at 17 ¡ãC and 26 ¡ãC and (b) 23 ¡ãC with low calorie diet. These results strongly suggest that appropriate calibration models need to be developed in the laboratory before this technique can be reliably used in field. These calibration models should include the major environmental variables that change across space and time in the particular natural population to be studied.