Evidence map›Paper›PMID 42243659›Full record

ArticleGenes & nutrition2026

A flexible synthetic diet platform for Drosophila nutrigenomics.

Zoriana Novosiadla, Sarah Mele, Emily Kerton, John Christodoulou, Sebastian Dworkin, Matthew D W Piper, Travis K Johnson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zoriana NovosiadlaDepartment of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, 3086, Australia.
Sarah MeleDepartment of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, 3086, Australia.
Emily KertonDepartment of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, 3086, Australia.
John ChristodoulouMurdoch Children's Research Institute, Parkville, VIC, 3052, Australia.
Sebastian DworkinDepartment of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe Institute for Molecular Sciences, La Trobe University, Bundoora, VIC, 3086, Australia.
Matthew D W PiperSchool of Biological Sciences, Monash University, Clayton, VIC, 3800, Australia. Matthew.piper@monash.edu.
Travis K JohnsonDepartment of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, 3086, Australia. t.johnson@latrobe.edu.au.

Funding

Australian Research Council FT220100023National Health and Medical Research Council APP2038384
6 · The paper itself

Abstract

backgroundNutrient-gene interactions are key determinants of metabolic disease phenotypes, but systematic analysis remains constrained by the labour required to generate precisely defined diets. To address this, we developed a flexible method for assembling synthetic diets for Drosophila melanogaster from individual stock solutions, enabling rapid and controlled modification of dietary composition.

resultsUsing this approach, we generated a rational array of 51 diets in which single nutrients were varied systematically. We first showed that diets prepared using the flexible method performed comparably to standard preparation methods in wild-type flies, with similar developmental timing, survival, adult body weight, and starvation resistance. As a proof-of-concept, we then applied this dietary array to a Drosophila model of isolated sulfite oxidase deficiency, a severe metabolic disorder caused by defective sulfur amino acid catabolism. This validated previously identified nutrient-specific effects, including survival and pupariation rescue by cysteine depletion, while also revealing additional amino acid-modified diets that improved pupal survival.

conclusionsThis platform provides a scalable and versatile in vivo framework for systematically interrogating genotype-specific nutritional responses in Drosophila. It should facilitate the identification of diet-gene interactions relevant to metabolic disease and support broader nutritional screening across disease models.

Indexed as

Amino acidHolidic dietInherited metabolic diseaseIsolated sulfite oxidase deficiencyPrecision nutrition

Identifiers

PMID42243659
PMCPMC13455160

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.