Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Centre for Ecology and Conservation, University of Exeter, Cornwall Campus, Cornwall, UK.
Biogerontology. 2022 Feb;23(1):129-144. doi: 10.1007/s10522-022-09953-2. Epub 2022 Feb 5.
Understanding how diet affects reproduction and survival is a central aim in evolutionary biology. Although this relationship is likely to differ between the sexes, we lack data relating diet to male reproductive traits. One exception to this general pattern is Drosophila melanogaster, where male dietary intake was quantified using the CApillary FEeder (CAFE) method. However, CAFE feeding reduces D. melanogaster survival and reproduction, so may distort diet-fitness outcomes. Here, we use the Geometric Framework of Nutrition to create nutrient landscapes that map sex-specific relationships between protein, carbohydrate, lifespan and reproduction in D. melanogaster. Rather than creating landscapes with consumption data, we map traits onto the nutrient composition of forty agar-based diets, generating broad coverage of nutrient space. We find that male and female lifespan was maximised on low protein, high carbohydrate blends (~ 1:15.9). This nutrient ratio also maximised male reproductive rates, but females required more protein to maximise daily fecundity (1:1.22). These results are consistent with CAFE assay outcomes. However, the approach employed here improved female fitness relative to CAFE assays, while effects of agar versus CAFE feeding on male fitness traits depended on the nutrient composition of experimental diets. We suggest that informative nutrient landscapes can be made without measuring individual nutrient intake and that in many cases, this may be preferable to using the CAFE approach. The most appropriate method will depend on the question and species being studied, but the approach adopted here has the advantage of creating nutritional landscapes when dietary intake is hard to quantify.
了解饮食如何影响繁殖和生存是进化生物学的一个核心目标。尽管这种关系可能因性别而异,但我们缺乏与男性生殖特征相关的饮食数据。这种普遍模式的一个例外是黑腹果蝇,在那里使用 CApillary FEeder (CAFE) 方法来量化雄性的饮食摄入量。然而,CAFE 喂养会降低黑腹果蝇的存活率和繁殖力,因此可能会扭曲饮食与适应性之间的关系。在这里,我们使用营养几何框架来创建营养景观,这些景观映射了黑腹果蝇中性别特异性的蛋白质、碳水化合物、寿命和繁殖之间的关系。我们不是使用消耗数据来创建景观,而是将特征映射到 40 种基于琼脂的饮食的营养成分上,从而广泛覆盖营养空间。我们发现,雄性和雌性的寿命在低蛋白、高碳水化合物混合物中达到最大值(约 1:15.9)。这种营养比例也使雄性繁殖率最大化,但雌性需要更多的蛋白质才能使每日产卵量最大化(1:1.22)。这些结果与 CAFE 测定结果一致。然而,与 CAFE 测定相比,这里采用的方法提高了雌性的适应性,而琼脂与 CAFE 喂养对雄性适应性特征的影响取决于实验饮食的营养成分。我们建议,即使不测量个体的营养摄入量,也可以制作有信息的营养景观,并且在许多情况下,这可能比使用 CAFE 方法更好。最合适的方法将取决于正在研究的问题和物种,但这里采用的方法具有在难以量化饮食摄入时创建营养景观的优势。