
pmid: 14698032
The role of nutrition in health is a profoundly important example of interactions between genotype and environment. Interaction defines for all organisms the way in which a complex biological system, a cell, responds to any change in its environment. This applies to all cells, whether microbial or larger. The current “-omic” era (genomic, proteomics, transcriptomics, etc.) of biomedical research has already provided an overwhelming plethora of data regarding the sequence blueprint that defines many organisms (e.g., humans, mice, plants, insects, worms, yeast, and bacteria). The usefulness of much of these data resemble that of the periodic table to chemistry; we have in our hands a massed array of critical information that on its own provides little insight into the mechanisms of life or death. The challenge is clear: How is this information to be used to the best advantage? It is striking that the differences that define diversity of organisms are relatively minor in number in relation to their relevance. Thus, it must be the manner in which this information is expressed, often in response to the environment, which defines the nature of an organism or a human being. Much of our understanding of gene regulation has been derived from basic experiments in bacteria (Escherichia coli) or yeast (Saccharomyces cerevisiae). Furthermore, genome projects for the latter organism have been in use for over a decade (the first yeast chromosome was sequenced in 19921 and the genome completed in 19952). An appreciation and a basic understanding of the contribution of model systems are thus worthwhile. In this review we focus on the manner in which studies with a less complex eukaryote, yeast, have relevance to our interpretation of the human genome. We examine how yeast genetic approaches have increased our understanding of interactions between genotype and environment and in particular discuss how the handling of resources (i.e., nutrients) is achieved by this model eukaryote.
Models, Genetic, Transcription, Genetic, Computational Biology, Genomics, Fungal Proteins, Gene Expression Regulation, Fungal, Yeasts, Nutritional Physiological Phenomena, Micronutrients, Genome, Fungal, Biotechnology, Oligonucleotide Array Sequence Analysis
Models, Genetic, Transcription, Genetic, Computational Biology, Genomics, Fungal Proteins, Gene Expression Regulation, Fungal, Yeasts, Nutritional Physiological Phenomena, Micronutrients, Genome, Fungal, Biotechnology, Oligonucleotide Array Sequence Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
