Nutritional genomics in yeast models

Functional genomics of intraspecific variation in carbon and phosphorus kinetics in Daphnia

Understanding how the genome interacts with the environment to produce a diversity of phenotypes is a central challenge in biology. However, we know little about how traits involved in nutrient processing interact with key ecological parameters, such as the supply of mineral nutrients, particularly in animals. The framework of ecological stoichiometry uses information on the content of key elements such as carbon (C) and phosphorus (P) in individuals to predict the success of species. Nevertheless, intraspecific variation in content and the underlying mechanisms that generate such variation has been poorly explored. We studied two genotypes (G1 and G2) of Daphnia pulex that exhibit striking genotype × environment (G × E) interaction in response to shifts in dietary stoichiometry (C:P). G1 had higher fitness under C:P ∼ 100 diet, while G2 performed better in C:P ∼ 800. Dual (14) C/(33) P radiotracer assays show that G1 was more efficient in C processing, while G2 was more efficient in P use. Microarrays revealed that after 3 days of incubation, the genotypes differentially expressed ∼ 25% (7,224) of the total genes on the array under C:P ∼ 100 diet, and ∼ 30% (8,880) of genes under C:P ∼ 800. These results indicate large differences in C and P use between two coexisting genotypes. Importantly, such physiological differences can arise via differential expression of the genome due to alterations in dietary stoichiometry. Basic frameworks such as ecological stoichiometry enable integration of physiological and transcriptomic data, and represent initial steps toward understanding the interplay between fundamental ecological parameters such as nutrient supply and important evolutionary processes such as G × E interactions.

Advances in Nutrigenomics research: novel and future analytical approaches to investigate the biological activity of natural compounds and food functions

In recent years, nutrition research has moved from classical epidemiology and physiology to molecular biology and genetics. Following this trend, Nutrigenomics has emerged as a novel and multidisciplinary research field in nutritional science that aims to elucidate how diet can influence human health. It is already well known that bioactive food compounds can interact with genes affecting transcription factors, protein expression and metabolite production. The study of these complex interactions requires the development of advanced analytical approaches combined with bioinformatics. Thus, to carry out these studies Transcriptomics, Proteomics and Metabolomics approaches are employed together with an adequate integration of the information that they provide. In this article, an overview of the current methodologies and a thorough revision of the advances in analytical technologies and their possibilities for future developments and applications in the field of Nutrigenomics is provided.