Project description:The chronological lifespan (CLS) of Saccharomyces cerevisiae is defined as the number days that non-dividing cells remain viable, typically in stationary phase cultures or in water. CLS is extended by restricting glucose in the starting cultures, and is considered a form of caloric restriction (CR). Through a previous genetic screen our lab determined that deleting components of the de novo purine biosynthesis pathway also significantly increased CLS. Significant similarities in gene expression profiles between calorie restricted WT cells and a non-restricted ade4M-bM-^HM-^F mutant suggested the possibility of common gene expression biomarkers of all chronologically long lived cells that could also provide insights into general mechanisms of lifespan extension. We have identified additional growth conditions that extend CLS of WT cells, including supplementation of the media with isonicotinamide (INAM), a known sirtuin activator, or by supplementation with a concentrate collected from the expired media of a calorie restricted yeast culture, presumably due to an as yet unidentified longevity factor. Using these varied methods to extend CLS, we compared gene expression profiles in the aging cells (at day 8) to identify functionally relevant biomarkers of longevity. Nineteen genes were differentially regulated in all 4 of the long-lived populations relative to wild type. Of these 19 genes, viable haploid deletion mutants were available for 16 of them, and 12 were found to have a significant impact on CLS. Duplicate cultures were grown to saturation in SC media cultures, aged, and then harvested on day 8. The deletion mutant ade4M-bM-^HM-^F as well as WT cells treated with 25 mM isonicotinamide, calorie restricted (0.5% glucose), or treated with expired media concentrate from previously calorie restricted cultures. These 4 conditions were then compared to a wild-type (WT) strain. Total RNA was isolated and used for microarray hybridizations onto Affymetrix Yeast 2.0 Gene arrrays.

Project description:Cultivation methods used to investigate microbial calorie restriction often result in carbon and energy starvation. This study aims to dissect cellular responses to calorie restriction and starvation in Saccharomyces cerevisiae by using retentostat cultivation. In retentostats, cells are continuously supplied with a small, constant carbon and energy supply, sufficient for maintenance of cellular viability and integrity but insufficient for growth. When glucose-limited retentostats cultivated under extreme calorie restriction were subjected to glucose starvation, calorie-restricted and glucose-starved cells were found to share characteristics such as increased heat-shock tolerance and expression of quiescence-related genes. However, they also displayed strikingly different features. While calorie-restricted yeast cultures remained metabolically active and viable for prolonged periods of time, glucose starvation resulted in rapid consumption of reserve carbohydrates, population heterogeneity due to appearance of senescent cells and, ultimately, loss of viability. Moreover, during starvation, calculated rates of ATP synthesis from storage carbohydrates were 2-3 orders of magnitude lower than steady-state ATP-turnover rates calculated under extreme calorie restriction in retentostats. Stringent reduction of ATP turnover during glucose starvation was accompanied by a strong down-regulation of genes involved in protein synthesis. These results demonstrate that extreme calorie restriction and carbon starvation represent different physiological states in S. cerevisiae. The yeast was first grown for 14 days under extreme calorie restriction in anaerobic, glucose-limited retentostats (Boender et al., 2009, Appl.Environ.Microbiol., 75: 5607-5614.). Subsequently, starvation was started by terminating the glucose feed. Yeast transcriptional reprogramming in response to calorie restriction and starvation was monitored by microarray analysis. Independent duplicate retentostat cultures, and subsequently starvation, were sampled for transcriptome analysis using Affymetrix microarrays. One time-point was sampled during calorie restriction (T0) and four time points were sampled during the starvation phase 10, 30, 60 and 120 minutes after switching of the feed, resulting in a dataset of 10 arrays.

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