SUMMARY Many genes that affect replicative lifespan (RLS) in the budding yeast Saccharomyces cerevisiae also affect aging in other organisms such as C. elegans and M. musculus. We performed a systematic analysis of yeast RLS in a set of 4,698 viable single-gene deletion strains. Multiple functional gene clusters were identified, and full genome-to-genome comparison demonstrated a significant conservation in longevity pathways between yeast and C. elegans. Among the mechanisms of aging identified, deletion of tRNA exporter LOS1 robustly extended lifespan. Dietary restriction (DR) and inhibition of mechanistic Target of Rapamycin (mTOR) exclude Los1 from the nucleus in a Rad53-dependent manner. Moreover, lifespan extension from deletion of LOS1 is non-additive with DR or mTOR inhibition, and results in Gcn4 transcription factor activation. Thus, the DNA damage response and mTOR converge on Los1-mediated nuclear tRNA export to regulate Gcn4 activity and aging.

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Recent studies have propagated the model that the mitochondrial unfolded protein response (UPRmt) is causal for lifespan extension from inhibition of the electron transport chain (ETC) in C. elegans. Here we report a genome-wide RNAi screen for negative regulators of the UPRmt. Lifespan analysis of nineteen RNAi clones that induce the hsp-6p::gfp reporter demonstrate differential effects on longevity. Deletion of atfs-1, which is required for induction of the UPRmt, fails to prevent lifespan extension from knockdown of two genes identified in our screen or following knockdown of the ETC gene cco-1. RNAi knockdown of atfs-1 also has no effect on lifespan extension caused by mutation of the ETC gene isp-1. Constitutive activation of the UPRmt by gain of function mutations in atfs-1 fails to extend lifespan. These observations identify several new factors that promote mitochondrial homeostasis and demonstrate that the UPRmt, as currently defined, is neither necessary nor sufficient for lifespan extension.

Summary Dietary restriction (DR) increases lifespan and attenuates age-related phenotypes in many organisms; however, the effect of DR on longevity of individuals in genetically heterogeneous populations is not well characterized. Here we describe a large-scale effort to define molecular mechanisms that underlie genotype-specific responses to DR. The effect of DR on lifespan was determined for 166 single-gene deletion strains in Saccharomyces cerevisiae. Resulting changes in mean lifespan ranged from a reduction of 79% to an increase of 103%. Vacuolar pH homeostasis, superoxide dismutase activity, and mitochondrial proteostasis were found to be strong determinants of the response to DR. Proteomic analysis of cells deficient in prohibitins revealed induction of a mitochondrial unfolded protein response (mtUPR) which has not previously been described in yeast. Mitochondrial proteotoxic stress in prohibitin mutants was suppressed by DR via reduced cytoplasmic mRNA translation. A similar relationship between prohibitins, the mtUPR, and longevity was also observed in Caenorhabditis elegans. These observations define conserved molecular processes that underlie genotype-dependent effects of DR that may be important modulators of DR in higher organisms.

Argonaute proteins use microRNAs (miRNAs) to identify mRNAs targeted for post-transcriptional repression. Biochemical assays have demonstrated that Argonaute functions by modulating the binding properties of its miRNA guide so that pairing to the seed region is exquisitely fast and accurate. However, the mechanisms used by Argonaute to reshape the binding properties of its small RNA guide remain poorly understood. Here, we identify a structural element, α-helix-7, in human Argonaute2 (Ago2) that is required for speed and fidelity in binding target RNAs. Biochemical, structural, and single-molecule data indicate that helix-7 acts as a molecular wedge that pivots to enforce rapid making and breaking of miRNA:target base pairs in the 3' half of the seed region. These activities allow Ago2 to rapidly dismiss off-targets and dynamically search for seed-matched sites at a rate approaching the limit of diffusion.