Parental dietary protein-to-carbohydrate ratio affects offspring lifespan and metabolism in drosophila
Introduction
The link between nutrition and aging has been studied extensively using Drosophila melanogaster as a model organism (Mair et al., 2005; Min et al., 2007). Numerous studies from recent years have been specifically focused on the influence of parental diet on offspring physiology, metabolism and lifespan. However, the molecular mechanisms that underlie these associations remain undiscovered. Several hypotheses have been proposed to explain this process including programming mechanisms such as epigenetics (Buescher et al., 2013; Vaiserman et al., 2017). Drosophila melanogaster is a genetically tractable model organism for studying physiological processes affected by parental dietary conditions because of the high conservation of metabolic pathways among animal species. Altering the maternal or paternal diet, or both, is a simple procedure that can be used to determine the effect of diet on the offspring physiology in Drosophila (Brookheart and Duncan, 2016).
Dietary condition is a key determinant of aging and lifespan. Many studies have used Drosophila to investigate the mechanisms involved in dietary restriction and over-nutrition and their complex influence on lifespan (Tatar et al., 2014). For example, it has been demonstrated that the balance between macronutrients has a more significant impact than total calorie intake on Drosophila lifespan and physiology (Lee et al., 2008; Lushchak et al., 2012, 2014; Skorupa et al., 2008; Simpson and Raubenheimer, 2009). Lifespan regulation by diet composition was shown to be achieved through modulation of the activities of conserved signaling pathways such as TOR and AMPK in experiments that used either dietary or pharmacological interventions (Broughton et al., 2005; Lushchak et al., 2017; Piskovatska et al., 2018; Vaiserman et al., 2016; Wullschleger et al., 2006). Furthermore, developmental conditions are also important determinants of longevity in fruit flies and other species (Vaiserman et al., 2018).
Substantial evidence has also suggested a tight correlation between parental nutrition and offspring health (Barker, 1990; Hales and Barker, 1992; Ravelli et al., 1998; Kaati et al., 2002; Pembrey et al., 2006) and shown that this type of nutritional programming can persist across generations. Several factors have been identified that can mediate the impact of parental diet on the physiology of offspring including epigenetic gene regulation, endoplasmic reticulum stress, and mitochondrial disruption (Bruce et al., 2009; Carone et al., 2010; Wu et al., 2010, Wu et al., 2015). Epigenetic control is the most plausible mechanism to explain the effects of parental nutrition on offspring life-history traits. Epigenetic modifications including DNA methylation, histone modification, and non-coding DNA based mechanisms (Xia and de Belle, 2016) are heritable across generations without causing changes in DNA sequence, and they alter the expression of specific genes. Using Drosophila as a model system, a paternal contribution to metabolic programming was also demonstrated (Valtonen et al., 2012; Ost et al., 2014; Aldrich and Maggert, 2015). Parental diet in Drosophila influenced reproduction and, as a result, had a strong impact on offspring health (Matzkin et al., 2013; Colines et al., 2015; Vijendravarma et al., 2010). The dietary composition provided to each parent had a complex impact on the offspring and the combined influence of the diets of both parents lent a further complexity to offspring health (Brookheart and Duncan, 2016).
In the present work, we studied the effects of dietary protein-to-carbohydrate (P:C) ratio provided to parents on the physiology, metabolism and lifespan of offspring. We found that low a P:C diet increased offspring appetite. In addition, higher amounts of circulating sugars and glycogen storage in offspring were observed when parents were fed a low P:C diet. We also found that high sucrose consumption decreased F1 female survival. We demonstrated strong dependence of physiological and metabolic parameters of both generations, which significantly are differ in the frames of one of three variables – parental P:C ratio, sex and their interaction (Table 3).
Section snippets
Materials and methods
Drosophila melanogaster of w1118 stock were obtained from the Bloomington Drosophila stock center (Indiana University, USA). Prior to experimentation, stocks were maintained on a standard yeast-molasses medium at 25 °C and relative humidity of 60–70%. Adult flies were then fed a standard yeast-sugar diet (4% sucrose, 4% dry yeast and 1.2% agar) for two generations in 200 ml plastic bottles containing 25 ml of medium.
Effects of parental diet on offspring lifespan
The protein-to-carbohydrate ratio (P:C) of the parental diet affected lifespan of F1 females only (Fig. 2A). F1 females from parents reared on 0.08 P:C diet showed a significant decrease in lifespan as compared to all the rest the experimental groups (Fig. 2B; Table 2A). Some specific comparisons deserve mention. For example, a significant difference was observed between cohorts of F1 females from parents reared on 0.08 and 0.65 P:C diets (Benjamini-Hochberg adjustment; p < .0001) (Fig. 2A) (
Discussion
Here we show that metabolic programming occurs in response to parental diet manipulation to modulate offspring physiological traits. Modulation of parental nutrition is considered to be important in determining offspring phenotype (Bonduriansky and Day, 2009). Significant effects of maternal diet composition on Drosophila progeny traits have been previously revealed (Vijendravarma et al., 2010; Prasad et al., 2003). In addition, a study by Valtonen and colleagues demonstrated that “effects of
Acknowledgments
We would like to thank Uliana Semaniuk for extensive technical assistance and Dr. Dmytro Gospodaryov for discussion and help with revision of the manuscript. This work was partially supported by grant from the State Fund for Fundamental Research of Ukraine and a Discovery grant from the Natural Sciences and Engineering Research Council of Canada (#6793) to KBS.
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