Amino acid quality modifies the quantitative availability of protein for reproduction in <i>Drosophila melanogaster</i>

Ma, Carolyn; Mirth, Christen K.; Hall, Matthew D.; Piper, Matthew D.W.

doi:10.1101/2020.03.26.010538

Cited by 5 publications

(7 citation statements)

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“…To examine the interactive effects of dietary protein, carbohydrate, and cholesterol on Drosophila lifespan and fecundity, we used our completely defined (holidic) diet ( Piper et al, 2014 ) to manipulate each nutrient independently of all others. We selected dietary protein and carbohydrate concentrations that we know to elicit the full range of lifespan and fecundity responses to dietary restriction ( Lee et al, 2008 ; Piper et al, 2014 , Piper et al, 2017 ; Ma et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…The two diet series had one diet in common, which was our most commonly used, ‘standard’ lab diet ( Piper et al, 2014 ). These diets incorporate those known to maximise either lifespan, reproduction or both ( Ma et al, 2020 ; Piper et al, 2017 ). To examine the effects of cholesterol on these traits, we selected four cholesterol concentrations for each of these five diets, making a total of 20 diets ( Figure 6b , Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

“…To convert amino acids to protein equivalents, we used the molar quantities of nitrogen and the assumption that N makes up 16% of whole proteins ( Sosulski and Imafidon, 1990 ). In this case, an amino acid ratio matched to the exome of adult flies (Flyaa) was utilised ( Supplementary file 9 ; Ma et al, 2020 ; Piper et al, 2017 ). Finally, for practical reasons we used cholesterol in the diet as opposed to ergosterol, because it is easily accessible, and where studied, has been shown to be adequate to support Drosophila adult nutrition to the same extend as a yeast-based diet ( Piper et al, 2014 ).…”

Section: Methodsmentioning

confidence: 99%

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A dietary sterol trade-off determines lifespan responses to dietary restriction in Drosophila melanogaster females

Zanco

Mirth

Sgrò

et al. 2021

eLife

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Diet plays a significant role in maintaining lifelong health. In particular, lowering the dietary protein: carbohydrate ratio can improve lifespan. This has been interpreted as a direct effect of these macronutrients on physiology. Using Drosophila melanogaster, we show that the role of protein and carbohydrate on lifespan is indirect, acting by altering the partitioning of limiting amounts of dietary sterols between reproduction and lifespan. Shorter lifespans in flies fed on high protein: carbohydrate diets can be rescued by supplementing their food with cholesterol. Not only does this fundamentally alter the way we interpret the mechanisms of lifespan extension by dietary restriction, these data highlight the important principle that life histories can be affected by nutrient-dependent trade-offs that are indirect and independent of the nutrients (often macronutrients) that are the focus of study. This brings us closer to understanding the mechanistic basis of dietary restriction.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A dietary sterol trade-off determines lifespan responses to dietary restriction in Drosophila melanogaster females

Zanco

Mirth

Sgrò

et al. 2021

eLife

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“…In this study, I used fixed ratio datasets as a proof‐of‐concept, which is the structure that has been used recently in studies of GF focused on development (Alton et al, 2020; Kutz et al, 2019; Ma et al, 2020; Silva‐Soares et al, 2017), but GF sampling primarily covers datasets with individual nutrient intakes (e.g., Hawkes et al, 2022; Lee et al, 2008; Maklakov et al, 2008). Individuals' nutrient intakes are constrained by animal physiology and are difficult or impossible to overcome (e.g., individuals often die in overly unbalanced diet).…”

Section: Discussionmentioning

confidence: 99%

Nutrigonometry II: Experimental strategies to maximize nutritional information in multidimensional performance landscapes

Morimoto

2022

Ecology and Evolution

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Animals regulate their nutrient consumption to maximize the expression of fitness traits with competing nutritional needs (“nutritional trade‐offs”). Nutritional trade‐offs have been studied using a response surface modeling approach known as the Geometric Framework for nutrition (GF). Current experimental design in GF studies does not explore the entire area of the nutritional space resulting in performance landscapes that may be incomplete. This hampers our ability to understand the properties of the performance landscape (e.g., peak shape) from which meaningful biological insights can be obtained. Here, I tested alternative experimental designs to explore the full range of the performance landscape in GF studies. I compared the performance of the standard GF design strategy with three alternatives: hexagonal, square, and random points grid strategies with respect to their accuracy in reconstructing baseline performance landscapes from a landmark GF dataset. I showed that standard GF design did not reconstruct the properties of baseline performance landscape appropriately particularly for traits that respond strongly to the interaction between nutrients. Moreover, the peak estimates in the reconstructed performance landscape using standard GF design were accurate in terms of the nutrient ratio but incomplete in terms of peak shape. All other grid designs provided more accurate reconstructions of the baseline performance landscape while also providing accurate estimates of nutrient ratio and peak shape. Thus, alternative experimental designs can maximize information from performance landscapes in GF studies, enabling reliable biological insights into nutritional trade‐offs and physiological limits within and across species.

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“…Recent initiatives have been made but these are complex to navigate and therefore studies continue to be published with visual inspection or with inaccurate methods to quantify the strength of nutritional trade-offs in GF landscapes [e.g., (Polak et al 2017;Ng et al 2018Ng et al , 2019Kutz et al 2019;Ma et al 2020;Barragan-Fonseca et al 2021)]. Why is it so difficult to measure nutritional trade-offs in GF multidimensional fitness landscapes?…”

Section: Introductionmentioning

confidence: 99%

Nutrigonometry I: using right-angle triangles to quantify nutritional trade-offs in multidimensional performance landscapes

Morimoto

Conceição

Mirth

et al. 2021

Preprint

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Animals regulate their diet in order to maximise the expression of fitness traits that often have different nutritional needs. These nutritional trade-offs have been experimentally uncovered using the Geometric framework for nutrition (GF). However, current analytical methods to measure such responses rely on either visual inspection or complex models applied to multidimensional performance landscapes, making these approaches subjective, or conceptually difficult, computationally expensive, and in some cases inaccurate. This limits our ability to understand how animal nutrition evolved to support life-histories within and between species. Here, we introduce a simple trigonometric model to measure nutritional trade-offs in multidimensional landscapes (‘Nutrigonometry’). Nutrigonometry is both conceptually and computationally easier than current approaches, as it harnesses the trigonometric relationships of right-angle triangles instead of vector calculations. Using landmark GF datasets, we first show how polynomial (Bayesian) regressions can be used for precise and accurate predictions of peaks and valleys in performance landscapes, irrespective of the underlying structure of the data (i.e., individual food intakes vs fixed diet ratios). Using trigonometric relationships, we then identified the known nutritional trade-off between lifespan and reproductive rate both in terms of nutrient balance and concentration. Nutrigonometry enables a fast, reliable and reproducible quantification of nutritional trade-offs in multidimensional performance landscapes, thereby broadening the potential for future developments in comparative research on the evolution of animal nutrition.

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Amino acid quality modifies the quantitative availability of protein for reproduction in Drosophila melanogaster

Cited by 5 publications

References 36 publications

A dietary sterol trade-off determines lifespan responses to dietary restriction in Drosophila melanogaster females

A dietary sterol trade-off determines lifespan responses to dietary restriction in Drosophila melanogaster females

Nutrigonometry II: Experimental strategies to maximize nutritional information in multidimensional performance landscapes

Nutrigonometry I: using right-angle triangles to quantify nutritional trade-offs in multidimensional performance landscapes

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