Nutrigonometry IV: Thales’ theorem to measure the rules of dietary compromise in animals
Simpson, S. J. et al. Recent advances in the integrative nutrition of arthropods. Annu. Rev. Entomol. 60, 293–311 (2015).
Google Scholar
Chan, L., Vasilevsky, N., Thessen, A., McMurry, J. & Haendel, M. The landscape of nutri-informatics: A review of current resources and challenges for integrative nutrition research. Database 2021 (2021).
Raubenheimer, D. & Simpson, S. J. Integrative models of nutrient balancing: Application to insects and vertebrates. Nutr. Res. Rev. 10, 151–179 (1997).
Google Scholar
Raubenheimer, D., Simpson, S. J. & Mayntz, D. Nutrition, ecology and nutritional ecology: Toward an integrated framework. Funct. Ecol. 4-16 (2009).
Raubenheimer, D. & Simpson, S. Eat like the animals: what nature teaches us about the science of healthy eating (Houghton Mifflin, 2020).
Simpson, S. J. & Raubenheimer, D. The Nature of Nutrition (Princeton University Press, 2012).
Google Scholar
Cavigliasso, F., Dupuis, C., Savary, L., Spangenberg, J. E. & Kawecki, T. J. Experimental evolution of post-ingestive nutritional compensation in response to a nutrient-poor diet. Proc. R. Soc. B 287, 20202684 (2020).
Google Scholar
Simpson, S. J. & Raubenheimer, D. Assuaging nutritional complexity: A geometrical approach. Proc. Nutr. Soc. 58, 779–789 (1999).
Google Scholar
Behmer, S. T., Elias, D. O. & Bernays, E. A. Post-ingestive feedbacks and associative learning regulate the intake of unsuitable sterols in a generalist grasshopper. J. Exp. Biol. 202, 739–748 (1999).
Google Scholar
Behmer, S. T. Insect herbivore nutrient regulation. Annu. Rev. Entomol. 54, 165–187 (2009).
Google Scholar
Raubenheimer, D. & Simpson, S. J. The geometry of compensatory feeding in the locust. Anim. Behav. 45, 953–964 (1993).
Google Scholar
Lee, K. P., Behmer, S. T. & Simpson, S. J. Nutrient regulation in relation to diet breadth: A comparison of Heliothis sister species and a hybrid. J. Exp. Biol. 209, 2076–2084 (2006).
Google Scholar
Simpson, S. J. & Raubenheimer, D. A multi-level analysis of feeding behaviour: the geometry of nutritional decisions. Philos. Trans. R. Soc. Lond. B Biol. Sci. 342, 381–402 (1993).
Google Scholar
Lee, K. P. et al. Lifespan and reproduction in Drosophila: New insights from nutritional geometry. Proc. Natl. Acad. Sci. 105, 2498–2503 (2008).
Google Scholar
Barragan-Fonseca, K., Gort, G., Dicke, M. & Van Loon, J. Nutritional plasticity of the black soldier fly (Hermetia illucens) in response to artificial diets varying in protein and carbohydrate concentrations. J. Insects Food Feed 7, 51–61 (2021).
Jang, T. & Lee, K. P. Comparing the impacts of macronutrients on life-history traits in larval and adult Drosophila melanogaster: The use of nutritional geometry and chemically defined diets. J. Exp. Biol. 221, jeb181115 (2018).
Google Scholar
Lihoreau, M., Poissonnier, L.-A., Isabel, G. & Dussutour, A. Drosophila females trade off good nutrition with high-quality oviposition sites when choosing foods. J. Exp. Biol. 219, 2514–2524 (2016).
Google Scholar
Rapkin, J. et al. The geometry of nutrient space-based life-history trade-offs: Sex specific effects of macronutrient intake on the trade-off between encapsulation ability and reproductive effort in decorated crickets. The American Naturalist (2018).
Morimoto, J. & Wigby, S. Differential effects of male nutrient balance on pre-and postcopulatory traits, and consequences for female reproduction in Drosophila melanogaster. Sci. Rep. 6, 1–11 (2016).
Google Scholar
Carey, M. R. et al. Mapping sex differences in the effects of protein and carbohydrates on lifespan and reproduction in Drosophila melanogaster: is measuring nutrient intake essential?. Biogerontology 23, 129–144 (2022).
Google Scholar
Bunning, H. et al. Protein and carbohydrate intake influence sperm number and fertility in male cockroaches, but not sperm viability. Proc. R. Soc. B Biol. Sci. 282, 20142144 (2015).
Ponton, F. et al. Macronutrients mediate the functional relationship between Drosophila and Wolbachia. Proc. R. Soc. B Biol. Sci. 282, 20142029 (2015).
Google Scholar
Polak, M. et al. Nutritional geometry of paternal effects on embryo mortality. Proc. R. Soc. B Biol. Sci. 284, 20171492 (2017).
Google Scholar
Raubenheimer, D. et al. An integrative approach to dietary balance across the life course. iscience 104315 (2022).
Morimoto, J. & Lihoreau, M. Open data for open questions in comparative nutrition. Insects 11, 236 (2020).
Google Scholar
Del Castillo, E., Chen, P., Meyers, A., Hunt, J. & Rapkin, J. Confidence regions for the location of response surface optima: The R package OptimaRegion. Commun. Stat. Simul. Comput. 51(12), 7074–7094 (2020).
Google Scholar
Barragan-Fonseca, K. B., Gort, G., Dicke, M. & van Loon, J. J. Effects of dietary protein and carbohydrate on life-history traits and body protein and fat contents of the black soldier fly Hermetia illucens. Physiol. Entomol. 44, 148–159 (2019).
Google Scholar
Pascacio-Villafán, C. et al. Diet quality and conspecific larval density predict functional trait variation and performance in a polyphagous frugivorous fly. Funct. Ecol. 36(5), 1163–1176 (2022).
Simpson, S. J. et al. The geometric framework for nutrition as a tool in precision medicine. Nutr. Healthy Aging 4, 217–226 (2017).
Google Scholar
Maklakov, A. A. et al. Sex differences in nutrient-dependent reproductive ageing. Aging Cell 8, 324–330 (2009).
Google Scholar
Simpson, S. J. & Raubenheimer, D. Obesity: The protein leverage hypothesis. Obes. Rev., 6, 133–142 (2005).
Google Scholar
Simpson, S. J., Batley, R. & Raubenheimer, D. Geometric analysis of macronutrient intake in humans: The power of protein?. Appetite 41, 123–140 (2003).
Google Scholar
Solon-Biet, S. M. et al. Defining the nutritional and metabolic context of FGF21 using the geometric framework. Cell Metab. 24, 555–565 (2016).
Google Scholar
Ng, S. H., Simpson, S. J. & Simmons, L. W. Macronutrients and micronutrients drive trade-offs between male pre-and postmating sexual traits. Funct. Ecol. 32, 2380–2394 (2018).
Google Scholar
Bradbury, E. et al. Nutritional geometry of calcium and phosphorus nutrition in broiler chicks. Growth Performance, skeletal health and intake arrays. Animal 8, 1071–1079 (2014).
Google Scholar
Kutz, T. C., Sgro, C. M. & Mirth, C. K. Interacting with change: Diet mediates how larvae respond to their thermal environment. Funct. Ecol. 33, 1940–1951 (2019).
Ma, C., Mirth, C. K., Hall, M. D. & Piper, M. D. Amino acid quality modifies the quantitative availability of protein for reproduction in Drosophila melanogaster. J. Insect Physiol. 139, 104050 (2020).
Google Scholar
Morimoto, J. & Lihoreau, M. Quantifying nutritional trade-offs across multidimensional performance landscapes. Am. Nat. 193, E168–E181 (2019).
Google Scholar
Morimoto, J., Conceição, P. & Smoczyk, K. Nutrigonometry III: Curvature, area and differences between performance landscapes. R. Soc. Open Sci. 9, 221326 (2022).
Google Scholar
Morimoto, J. Nutrigonometry II: Experimental strategies to maximize nutritional information in multidimensional performance landscapes. Ecol. Evol. 12, e9174 (2022).
Google Scholar
Hosking, C. J., Raubenheimer, D., Charleston, M. A., Simpson, S. J. & Senior, A. M. Macronutrient intakes and the lifespan-fecundity trade-off: A geometric framework agent based model. J. R. Soc. Interface 16, 20180733 (2019).
Google Scholar
Ruohonen, K., Kettunen, J., King, J. et al. Experimental design in feeding experiments. Food Intake Fish 88-107 (2001).
Lee, K., Behmer, S., Simpson, S. & Raubenheimer, D. A geometric analysis of nutrient regulation in the generalist caterpillar Spodoptera littoralis (Boisduval). J. Insect Physiol. 48, 655–665 (2002).
Google Scholar
Lee, K. P., Raubenheimer, D., Behmer, S. T. & Simpson, S. J. A correlation between macronutrient balancing and insect host-plant range: evidence from the specialist caterpillar Spodoptera exempta (Walker). J. Insect Physiol. 49, 1161–1171 (2003).
Google Scholar
Simpson, S., Raubenheimer, D., Behmer, S., Whitworth, A. & Wright, G. A comparison of nutritional regulation in solitarious-and gregarious-phase nymphs of the desert locust Schistocerca gregaria. J. Exp. Biol. 205, 121–129 (2002).
Google Scholar
Simpson, S. J., Sibly, R. M., Lee, K. P., Behmer, S. T. & Raubenheimer, D. Optimal foraging when regulating intake of multiple nutrients. Anim. Behav. 68, 1299–1311 (2004).
Cheng, K., Simpson, S. J. & Raubenheimer, D. A geometry of regulatory scaling. Am. Nat. 172, 681–693 (2008).
Google Scholar
Hall, K. D. The potential role of protein leverage in the US obesity epidemic. Obesity 27, 1222–1224 (2019).
Google Scholar
Raubenheimer, D. & Simpson, S. J. Protein leverage: Theoretical foundations and ten points of clarification. Obesity 27, 1225–1238 (2019).
Google Scholar
Raubenheimer, D. & Simpson, S. Integrating nutrition: A geometrical approach. Entomol. Exp. Appl. 91, 67–82 (1999).
Google Scholar
Simpson, S. & Raubenheimer, D. A framework for the study of macronutrient intake in fish. Aquac. Res. 32, 421–432 (2001).
Google Scholar
Shik, J. Z., Schal, C. & Silverman, J. Diet specialization in an extreme omnivore: Nutritional regulation in glucose-averse German cockroaches. J. Evol. Biol. 27, 2096–2105 (2014).
Google Scholar
Havula, E. et al. Genetic variation of macronutrient tolerance in Drosophila melanogaster. Nat. Commun. 13, 1–16 (2022).
Inagaki, H. K. et al. Visualizing neuromodulation in vivo: TANGO-mapping of dopamine signaling reveals appetite control of sugar sensing. Cell 148, 583–595 (2012).
Google Scholar
May, C. E. et al. High dietary sugar reshapes sweet taste to promote feeding behavior in Drosophila melanogaster. Cell Rep. 27, 1675–1685 (2019).
Google Scholar
Carvalho-Santos, Z. et al. Cellular metabolic reprogramming controls sugar appetite in Drosophila. Nat. Metab. 2, 958–973 (2020).
Google Scholar
Senior, A. M. Estimating genetic variance in life-span response to diet: Insights from statistical simulation. J. Gerontol. Ser. A 78(3), 392–396 (2023).
Google Scholar
Solon-Biet, S. M. et al. The ratio of macronutrients, not caloric intake, dictates cardiometabolic health, aging, and longevity in ad libitum-fed mice. Cell Metab. 19, 418–430 (2014).
Google Scholar
Team, R. C. et al. R: A language and environment for statistical computing (2013).
Wickham, H. et al. Welcome to the Tidyverse. J. Open Source Softw. 4, 1686 (2019).
Google Scholar
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).
Google Scholar
Rohatgi, A. WebPlotDigitizer 4.2: HTML5 based online tool to extract numerical data from plot images (2019).
link
