Evolution of a novel female reproductive strategy in Drosophila melanogaster populations subjected to long term protein restriction
Nandy, Bodhisatta et al. (2022), Evolution of a novel female reproductive strategy in Drosophila melanogaster populations subjected to long term protein restriction, Dryad, Dataset, https://doi.org/10.5061/dryad.wm37pvmp3
Reproductive output is often constrained by availability of macronutrients, especially protein. Long term protein restriction, therefore, is expected to select for traits maximizing reproduction even under nutritional challenge. We subjected four replicate populations of Drosophila melanogaster to a complete deprivation of yeast supplement, thereby mimicking a protein restricted ecology. Following 24 generations, compared to their matched controls, females from experimental populations showed increased reproductive output early in life, both in presence and absence of yeast supplement. The observed increase in reproductive output was without associated alterations in egg size, development time, pre-adult survivorship, body mass at eclosion, and lifespan of the females. Further, selection was ineffective on lifelong cumulative fecundity. However, females from experiment regime were found to have a significantly faster rate of reproductive senescence following the attainment of the reproductive peak early in life. Therefore, adaptation to yeast deprivation ecology in our study involved a novel reproductive strategy whereby females attained higher reproductive output early in life followed by faster reproductive aging. To the best of our knowledge, this is one of the cleanest demonstration of optimization of fitness by fine tuning of reproductive schedule during adaptation to a prolonged nutritional deprivation.
The dataset represents results from a series of assays done on a set of quadruply replicated laboratory populations of Drosophila melanogaster. All assays were done in the lab. The dataset was analysed on Statistica (version 10, Statsoft, Tulsa, OK, USA) and R version 4.0.2.
Individual datasets are seperated in different tabs. Column headings are clearly written to indicate data type, treatment etc.
Science and Engineering Research Board, Department of Science and Technology, Government of India, Award: CRG/2019/002460