Theoretical biology: safeguards and spurs.
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Biomedical subjects
Publications and source records attributed to Stephen C Stearns.
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Functional genomics provides new opportunities to address issues of fundamental interest in evolutionary biology and suggests many new research directions that are ripe for evolutionary investigation. New types of data, and the ability to study biological processes from a whole genome perspective, are likely to have a profound impact on evolutionary biology and ecology. To illustrate, we discuss how genomewide gene expression studies can be used to reformulate questions about trade-offs and pleiotropy. We then touch on some of the new research opportunities that the application of functional genomics affords to evolutionary biologists. We end with some brief notes about how evolutionary biology and comparative approaches will probably have an impact on functional genomics.
BACKGROUND: We characterized RNA transcript levels for the whole Drosophila genome during normal aging. We compared age-dependent profiles from animals aged under full-nutrient conditions with profiles obtained from animals maintained on a low-calorie medium to determine if caloric restriction slows the aging process. Specific biological functions impacted by caloric restriction were identified using the Gene Ontology annotation. We used the global patterns of expression profiles to test if particular genomic regions contribute differentially to changes in transcript profiles with age and if global disregulation of gene expression occurs during aging. RESULTS: Whole-genome transcript profiles contained a statistically powerful genetic signature of normal aging. Nearly 23% of the genome changed in transcript representation with age. Caloric restriction was accompanied by a slowing of the progression of normal, age-related changes in transcript levels. Many genes, including those associated with stress response and oogenesis, showed age-dependent transcript representation. Caloric restriction resulted in the downregulation of genes primarily involved in cell growth, metabolism, and reproduction. We found no evidence that age-dependent changes in transcription level were confined to genes localized to specific regions of the genome and found no support for widespread disregulation of gene expression with age. CONCLUSIONS: Aging is characterized by highly dynamic changes in the expression of many genes, which provides a powerful molecular description of the normal aging process. Caloric restriction extends life span by slowing down the rate of normal aging. Transcription levels of genes from a wide variety of biological functions and processes are impacted by age and dietary conditions.