Heat-induced longevity in budding yeast requires respiratory metabolism and glutathione recycling

Marina Musa; Matea Perić; Peter Bou Dib; Sandra Sobočanec; Ana Šarić; Anita Lovrić; Marina Rudan; Andrea Nikolić; Ira Milosević; Kristian Vlahoviček; Nuno Raimundo; Anita Kriško

doi:10.18632/aging.101560

Research Paper Volume 10, Issue 9 pp 2407—2427

Heat-induced longevity in budding yeast requires respiratory metabolism and glutathione recycling

Marina Musa^1, , Matea Perić^1, , Peter Bou Dib^2, , Sandra Sobočanec^3, , Ana Šarić^3, , Anita Lovrić^1, , Marina Rudan^1, , Andrea Nikolić^1, , Ira Milosević^4, , Kristian Vlahoviček^5, , Nuno Raimundo^2, , Anita Kriško^1, ,

¹ Mediterranean Institute for Life Sciences, Split, Croatia
² University Medical Center Göttingen, Institute of Cellular Biochemistry, Göttingen, Germany
³ Ruđer Bošković Institute, Division of Molecular Medicine, Zagreb, Croatia
⁴ European Neuroscience Institute, University Medical Center Göttingen, Göttingen, Germany
⁵ University of Zagreb, Faculty of Natural Sciences and Mathematics, Zagreb, Croatia

* Equal contribution

Received: May 24, 2018 Accepted: September 13, 2018 Published: September 17, 2018

https://doi.org/10.18632/aging.101560
How to Cite

Copyright: © 2018 Musa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Heat-induced hormesis is a well-known conserved phenomenon in aging, traditionally attributed to the benefits conferred by increased amounts of heat shock (HS) proteins. Here we find that the key event for the HS-induced lifespan extension in budding yeast is the switch from glycolysis to respiratory metabolism. The resulting increase in reactive oxygen species activates the antioxidant response, supported by the redirection of glucose from glycolysis to the pentose phosphate pathway, increasing the production of NADPH. This sequence of events culminates in replicative lifespan (RLS) extension, implying decreased mortality per generation that persists even after the HS has finished. We found that switching to respiratory metabolism, and particularly the consequent increase in glutathione levels, were essential for the observed RLS extension. These results draw the focus away solely from the HS response and demonstrate that the antioxidant response has a key role in heat-induced hormesis. Our findings underscore the importance of the changes in cellular metabolic activity for heat-induced longevity in budding yeast.

Introduction

While in the laboratory setting the growth conditions are strictly maintained, cells and organisms in the wild are subject to a wide range of different environmental conditions, from changing temperature to inconsistent nutrient availability. Some of these conditions can be lethal if severe or prolonged, but a vast majority promotes an adaptive response when transient and sufficiently mild. This dose response is known as hormesis. The adaptability of cells was crucial during evolution, as development of complex mechanisms was key to survival in changing environmental conditions. Some of the stressors, like iron and oxygen, were eventually incorporated into the cellular pathways due to their chemical properties [1,2].

In recent years, the adaptive stress response has been more extensively studied in the context of aging and disease progression, as many hormetic treatments have been shown to improve cell fitness and survival, presumably through stimulation of maintenance and repair pathways. The stress response depends on the nature of the stressor and the downstream targets involved [3–5]. Moreover, it has been observed that low levels of one stressor can protect against more than one type of stress. For example, low levels of oxidative stress protect against subsequent exposure to toxins such as cyanide, thus making hormesis “cross-modal” [6,7].

Furthermore, heat, irradiation, and oxidative stress have all been shown to extend lifespan in yeast, fruit fly, nematodes, and rodents [8–12], suggesting that similar pathways are involved in regulation of longevity across organisms [12]. Hormetic effects of heat shock on lifespan extension have been associated with increased transcription of chaperone coding genes, as well as with activation of autophagy and opening of the nuclear envelope [8,11–15].

Given its “cross-modal” nature as well as the variety of triggers and cell responses elicited, hormesis can be considered as a complex phenomenon. Thus, although extensively studied [8,12], the exact mechanisms contributing to heat shock-mediated lifespan extension in yeast still remain to be uncovered. Here, we found that a metabolic switch from glycolysis to aerobic respiration, and the resulting increase in the reactive oxygen species (ROS) levels trigger the activation of the pentose phosphate pathway (PPP) in budding yeast Saccharomyces cerevisiae cells undergoing mild HS. We further show that this change in metabolism restores the disrupted redox homeostasis during heat shock by providing NADPH required for glutathione recycling. Enhanced respiration, as well as active glutathione recycling during heat shock is essential for the heat shock-induced replicative lifespan extension.

Taking into account the first observations that yeast lifespan is subject to environmental fluctuations [16] as well as the conserved nature of hormesis, further insights into hormesis-induced yeast longevity may prove invaluable to research of lifespan regulation in higher organisms and to development of mimetics of hormetic agents.

Results

Mild transient heat shock causes metabolic reprogramming and lifespan extension

Budding yeast S. cerevisiae go through a limited number of cell divisions before the onset of senescence, producing daughter cells, the number of which constitutes their replicative lifespan (RLS). In addition to genetic manipulations, RLS can be modulated by environmental stressors such as heat or oxidative stress [8,17,18]. Here, we measured the RLS of yeast mother cells exposed to a mild and transient heat shock (HS) at 34°C. The heat exposure started at the mother cells replicative age of 1-3 generations and lasted for 3 hours, after which they were returned to optimal growth temperature of 30^oC (for details see Methods). Control cells were kept at 30^oC for the duration of the experiment. As we were interested in the effect of transient temperature shift, RLS was measured by removing and counting daughter cells continuously until the mother stopped dividing, without refrigerating the plates overnight, in order to avoid introduction of confounding variables. We show that the 3 hour exposure to 34^oC increases median RLS by approximately 50% (from app. 12 to 18 generations), and the maximum RLS by 38% (from app. 21 to 29 generations), thus supporting previous reports (Figure 1A) [8,12].

Mild transient heat shock leads to replicative lifespan extension triggered by enhanced respiratory activity. (A) Mean and maximum replicative lifespan (RLS) is extended in yeast that undergo a 3-hour heat shock at 34oC early in their life (1-3 generations). Control cells were kept constantly at 30oC. The number of curated cells is 81 for WT and 73 for WT HS. Significance of the results was tested with log-rank (Mantel–Cox) test. P value is B) Differential gene expression measured by RNA sequencing (RNA-Seq) reveals changes in cellular metabolic activity, most prominently repression of glycolysis and activation of respiration. Heat map displays RNA-Seq-derived differential expression (contrasted to control) of selected genes, grouped according to their respective metabolic pathways. Gray X signs indicate statistically insignificant fold changes. Gene names are indicated on the left of each heat map. (C) qPCR measurement of differential gene expression confirms repression of glycolysis and activation of respiration, as well as reveals activation of the pentose phosphate pathway and glutathione recycling. Color of the squares on the heat map corresponds to the mean value of the log fold change from three biological and three technical replicates. UBC6 was used for normalization. (D) Oxygen consumption is increased at heat shock in WT yeast, but remains unchanged in the respiration deficient petite strain and in HAP4Δ strains. Oxygen uptake was measured polarographically using an oxygraph equipped with a Clark-type electrode. Data on the graph are mean ± SEM from three biological and three technical replicates. P values were calculated using ANOVA plus post hoc. ***P P P E) Mean and maximum replicative lifespan (RLS) remain unchanged in petite strain under heat shock. Control cells were kept constantly at 30oC. The number of curated cells is 80 for petite and 89 for petite HS. P value is >0.05 (Mantel-Cox). (F) Mean and maximum replicative lifespan (RLS) remain unchanged in HAP4Δ strain under heat shock. Control cells were kept constantly at 30oC. The number of curated cells is 76 for HAP4Δ and 92 for HAP4Δ HS. P value is >0.05 (Mantel-Cox).

Figure 1. Mild transient heat shock leads to replicative lifespan extension triggered by enhanced respiratory activity. (A) Mean and maximum replicative lifespan (RLS) is extended in yeast that undergo a 3-hour heat shock at 34^oC early in their life (1-3 generations). Control cells were kept constantly at 30^oC. The number of curated cells is 81 for WT and 73 for WT HS. Significance of the results was tested with log-rank (Mantel–Cox) test. P value is <0.0001. (B) Differential gene expression measured by RNA sequencing (RNA-Seq) reveals changes in cellular metabolic activity, most prominently repression of glycolysis and activation of respiration. Heat map displays RNA-Seq-derived differential expression (contrasted to control) of selected genes, grouped according to their respective metabolic pathways. Gray X signs indicate statistically insignificant fold changes. Gene names are indicated on the left of each heat map. (C) qPCR measurement of differential gene expression confirms repression of glycolysis and activation of respiration, as well as reveals activation of the pentose phosphate pathway and glutathione recycling. Color of the squares on the heat map corresponds to the mean value of the log fold change from three biological and three technical replicates. UBC6 was used for normalization. (D) Oxygen consumption is increased at heat shock in WT yeast, but remains unchanged in the respiration deficient petite strain and in HAP4Δ strains. Oxygen uptake was measured polarographically using an oxygraph equipped with a Clark-type electrode. Data on the graph are mean ± SEM from three biological and three technical replicates. P values were calculated using ANOVA plus post hoc. ***P < 0.001; **P < 0.01; *P < 0.05. (E) Mean and maximum replicative lifespan (RLS) remain unchanged in petite strain under heat shock. Control cells were kept constantly at 30^oC. The number of curated cells is 80 for petite and 89 for petite HS. P value is >0.05 (Mantel-Cox). (F) Mean and maximum replicative lifespan (RLS) remain unchanged in HAP4Δ strain under heat shock. Control cells were kept constantly at 30^oC. The number of curated cells is 76 for HAP4Δ and 92 for HAP4Δ HS. P value is >0.05 (Mantel-Cox).

Next, we aimed to explore the ensemble of changes that arise in response to the applied HS. To this end, we performed RNA sequencing (RNA-Seq) on yeast cells collected immediately after the 3 hour HS in batch culture, which started during the early exponential growth stage (at OD ∼0.3), to mimic as closely as possible the conditions of the RLS experiment. The most prominent changes observed following HS were related to remodeling of the metabolic activity: repression of genes encoding glycolytic enzymes, upregulation of respiratory chain subunits, as well as upregulation of peroxisomal fatty acid beta-oxidation enzymes (WT HS in Figure 1B, Table S1). Although yeast cells typically rely on glycolysis when glucose is present (exponential growth phase) [19], our results suggest that glycolysis was repressed by HS, and the cells switched to respiratory metabolism despite the presence of glucose.

Such switch in metabolic activity is usually characteristic of diauxic shift, which follows exponential growth and occurs when glucose is exhausted from the medium. Since the utilization of glucose through respiration is characterized by lower flux, the diauxic shift is typically accompanied by increased generation time i.e. slowed growth [19]. However, growth curves in the applied conditions (see Methods for details) show that the division time was actually shortened; the generation time of the WT strain at optimal growth temperature (OGT) was approximately 120 minutes ± 6 minutes, while during HS it decreased to 72 minutes ± 4 minutes. While the origin of this acceleration of division remains unclear, it provides sufficient evidence that the cells did not undergo a diauxic shift due to the exposure to HS (Figure S1).

Transcript level measurements by quantitative real-time polymerase chain reaction (qPCR) confirmed the trend in gene expression changes found by RNA-Seq, as well as revealed some new ones (some genes did not pass the significance cutoff in the RNA-Seq data analysis) (WT HS in Figure 1C). Expectedly, qPCR measurement showed upregulation of SSA1 (Hsp70p), Hsp104, Hsp26 and HSP42, typical of the HS response activation (Figure 1C), validating the employed approach. Curiously, WT cells under HS displayed increased expression of the pentose phosphate pathway (PPP) rate-limiting enzyme glucose-6-phosphate dehydrogenase (G6PD, gene name ZWF1), indicating an increase in the PPP activity (Figure 1C). However, only the oxidative branch of the PPP was activated, as evidenced by downregulation of transaldolase (TAL1), an enzyme of the non-oxidative branch (Figure 1B). The upregulation of glutathione reductase (GLR1) as well as of reactive oxygen species (ROS) scavenging enzymes, superoxide dismutases (SOD1 and SOD2) and catalases (CTT1 and CTA1) (Figure 1C) strongly suggests that the cells were undergoing oxidative stress, even during mild HS. The response consists of concerted upregulation of antioxidant enzymes, as well as investing in redox homeostasis by activation of the PPP, potentially serving as a source of NADPH, an electron donor to several antioxidant reactions, such as reduction of oxidized glutathione (GSSG to GSH).

Increased respiration is required for RLS extension upon heat shock exposure

As the response to HS was characterized by stark changes in transcript levels of genes encoding respiratory chain subunits, we measured oxygen consumption in the WT strain during HS. After 3 hours of exposure to 34^oC, oxygen consumption increased 2.5-fold in WT strain (Figure 1D). Motivated by this result, as well as by our previous observations on the role of respiration in the RLS extension [20], we hypothesized that respiration increase may be a requisite for the HS-induced RLS extension. To test this, we measured the RLS of the respiration-deficient yeast strain (petite) in the same conditions as described for WT strain. The petite strain displayed no HS-induced RLS extension: the median RLS was 14 generations at OGT compared to 15 generations after the transient HS exposure, while the maximum RLS was 23 generations in both cases (Figure 1E). The absence of HS-induced RLS extension is consistent with the report of Shama et al. under similar conditions [8]. RNA-Seq analysis (Figure 1B) and the qPCR transcript level measurements (Figure 1C) show that the petite strain metabolic response to HS was similar to the one of WT: glycolysis enzymes underwent a decrease in expression levels, while fatty acid oxidation was activated. The upregulation of the HS proteins Hsp104p, Hsp70p, Hsp42p and Hsp26p demonstrated the activation of the HS response. However, several key features differentiate the response to HS between the petite strain and the WT. Expectedly, the petite strain displayed very low transcript levels of mitochondrial DNA (mtDNA)-encoded respiratory chain complexes (COB, CYT1, COX1, COX2, COX3), as well as impaired oxygen consumption at optimal temperature, both of which were unaffected by HS (Figure 1C; Figure 1D). Importantly, G6PD or GLR1 were not upregulated after HS in the petite strain, and neither were antioxidant protection elements (catalases and superoxide dismutases), suggesting that the petite strain did not experience oxidative stress during HS, as opposed to WT (Figure 1C). At this point, we hypothesized that the reason for this difference in gene expression in the petite strain was the absence of enhanced respiratory activity at HS.

In order to further support the role of respiration activation in HS-induced RLS extension, we tested a strain lacking Hap4p (HAP4), the transcription factor in charge of upregulating nucleus-encoded components of the respiratory chain [17]. As the only regulatory subunit of the Hap2/3/4/5 DNA binding complex, Hap4p plays a major role in converting yeast cells from fermentative to respiratory growth during the diauxic shift, regulating the expression of genes encoding for respiratory chain subunits and TCA cycle enzymes [21–23]. Hap4p deficiency is, therefore, sufficient to prevent the observed switch to respiratory growth during HS. Unlike the petite strain, HAP4Δ strain did respire at OGT (Figure 1D), but failed to increase respiratory activity during the 3 hour HS (Figure 1D). Already at OGT, in the HAP4Δ background, the cells displayed increased expression levels of glycolytic enzymes, and decreased levels of TCA cycle enzymes, which were the most prominent differences compared to the WT (Figure 1C). At HS, the transcript levels of glycolytic (PFK1, ENO2, PGI1) and fatty acid oxidation enzymes (POX1, POT1) underwent downregulation relative to the same strain at OGT, while the TCA cycle enzymes (CIT1, FUM1, MDH1, ACO1) mostly remained unaffected, with the exception of IDH1 which was strongly downregulated, thus likely affecting the overall activity of the TCA cycle (Figure 1C). The transcript levels of the respiratory chain complexes in the HAP4Δ background at OGT displayed a modest upregulation compared to the WT (Figure 1C). However, at HS the respiratory chain complexes were downregulated (COB, CYT1, COX3, COX4, ATP1, ATP6, ATP20), or remained unaffected (COX1, COX2), along with unchanged G6PD and GLR1 transcript levels (Figure 1C). Consistent with the other strains, the HS response was activated in HAP4Δ background, evidenced by the increased expression levels of Hsf1p target genes (HSP104, SSA1, HSP42 and HSP26) (Figure 1C).

Finally, there was no RLS extension following HS in HAP4Δ strain; median lifespan at both OGT and HS was approximately 13 generations, with maximum RLS of 17 and 18 generations, respectively (Figure 1F). HAP4Δ strain displayed a shortened RLS, consistent with previous reports [24]. With the HS response activated, the absence of the RLS extension in HAP4Δ background added to the body of evidence that increased respiratory activity during HS is a major contributor to HS mediated RLS extension and diminishes the relevance of the HSR alone for the mild heat-induced longevity. At this point, we hypothesized that enhanced respiration is acting as a source of increased mitochondrial superoxide levels, triggering the PPP activation, thus enabling glutathione recycling, and likely culminating in RLS extension. We set out to test this sequence of events.

Increased mitochondrial superoxide levels during heat shock activate the pentose phosphate pathway

Thus far, we have demonstrated that enhanced respiratory activity during HS is needed for the HS-induced RLS extension. Increased oxygen consumption in WT during HS (Figure 1D) was accompanied by an approximately 50% increase in the level of superoxide (measured via MitoSOX fluorescence), as well as a 30% increase in mitochondrial volume (Figure 2A; Figure S2). Conversely, petite and HAP4Δ strains experienced no significant change in mitochondrial superoxide levels during HS (Figure 2A), consistent with the absence of oxygen consumption increase in the same conditions (Figure 1D). To further support this observation, we measured 2′,7′‐dichlorodihydrofluorescein (H2DCF) fluorescence, which is proportional to intracellular ROS, using a FACS‐based procedure. Consistent with MitoSOX, the H2DCF fluorescence showed an approximately 75% increase in intracellular ROS in the WT strain during HS (Figure S3). Such trend was absent in the petite and HAP4Δ strains, consistent with MitoSOX results (Figure S3).

Figure 2. Increased mitochondrial superoxide levels during heat shock activate the pentose phosphate pathway and redox homeostasis maintenance. (A) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) increased during HS in WT, but not in petite, HAP4Δ, or oe SOD2 strains. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (B) Oxygen consumption increased at optimal growth temperature in the presence of 10 μM CCCP compared with untreated control and remained the same during heat shock. Oxygen uptake was measured polarographically using a Clark-type electrode equipped oxygraph. (C) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) decreased in the presence of 10 μM CCCP at optimal growth temperature and was unaffected by heat shock. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (D) qPCR measurement of differential gene expression in the presence of mitochondrial uncoupler CCCP (10 μM) showed that respiration activity is required for the activation of the pentose phosphate pathway and redox maintenance during heat shock. Color of the squares on the heat map corresponds to the mean value of the log fold change from three biological and three technical replicates. UBC6 was used for normalization. (E) oe SOD2 strain displayed increased respiratory activity at HS. (F) qPCR analysis of the oe SOD2 strain shows increased levels of SOD2 at both OGT and HS, but no activation of other oxidative stress response enzymes, including G6PD following HS. (G) Mean and maximum replicative lifespan (RLS) remain unchanged in oe SOD2 strain under heat shock. Control cells were kept constantly at 30^oC. The number of curated cells is 71 for oe SOD2 and 80 for oe SOD2 HS. P value is >0.05 (Mantel-Cox). Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P < 0.001; **P < 0.01; *P < 0.05 (ANOVA plus post hoc).

These results support the qPCR data, which showed increased transcript levels of antioxidant enzymes, ZWF1 and GLR1 in the WT cells, but not in the petite or in the HAP4-deficient strain (Figure 1C). These trends strongly suggested that the activation of the PPP in the WT cells is a part of the antioxidant defense triggered by the increased superoxide levels during HS exposure [25] and demonstrated that in the absence of oxygen consumption increase in petite and HAP4Δ strains during HS the cells do not experience oxidative stress.

To additionally test this scenario, we treated the WT cells with carbonyl cyanide m-chlorophenyl hydrazone (CCCP), an uncoupler of the respiratory chain, at OGT as well as during HS. The oxygen consumption was increased after addition of CCCP compared to untreated control and remained unchanged during HS (Figure 2B). Similarly, the superoxide levels, which were below those of WT at OGT, remained unchanged after HS in the presence of CCCP (Figure 2C). Moreover, the transcript levels of ZWF1, GLR1, catalases, and superoxide dismutases remained at the levels observed at the OGT (Figure 2D). Finally, the heat shock response was activated in the presence of CCCP (Figure 2D). These results suggest a relationship between the excess of superoxide produced during heat shock and the induction of the pentose phosphate pathway, as well as glutathione recycling.

To confirm that the increased levels of mitochondrial superoxide play a key role in triggering the adaptive response to heat shock, we overexpressed the mitochondrial manganese superoxide dismutase (Sod2p, further referred to as oe SOD2). The level of overexpression was approximately 7-fold at transcript level, as determined by qPCR (Figure S4). In optimal growth conditions, as well as during HS, the level of mitochondrial superoxide (as measured by MitoSOX) was reduced to average of 65% of the level detected in the WT strain at OGT (Figure 2A), despite the enhanced respiratory activity at HS (Figure 2E). The transcript levels of ZWF1 (G6PD) failed to increase at HS, indicating that pentose phosphate pathway was not activated (Figure 2F). GLR1 transcript levels also remained unchanged during HS in the oe SOD2 strain (Figure 2F). Finally, the oe SOD2 strain did not display a HS-induced RLS extension: median RLS of the strain at OGT was 12 generations, compared to 13 generation with the HS exposure, with maximum RLS of 25 generations for both conditions (Figure 2G).

These results supported our hypothesis that during HS exposure, the superoxide produced by the respiratory chain triggered the antioxidant defenses, redox homeostasis maintenance, and the PPP activation. We propose that the purpose of the PPP activation is to provide NADPH required for the glutathione recycling, and we turn to test this hypothesis.

Increased glutathione levels are essential for the heat-induced lifespan extension

To further explore the role of NADP⁺/NADPH ratio in the studied strains, we measured it at OGT and after 3 hours of HS. The results showed a decreased NADP⁺/NADPH ratio in the WT strain during HS, however without a change in total NADP levels (NADP_total, see Methods for details), suggesting increased NADPH levels (Figure 3A, Figure S5). Such trend was not observed in the petite, the HAP4Δ, CCCP treated WT strain, or in the oe SOD2 strain (Figure 3A). Moreover, the decline in the NADP⁺/NADPH ratio observed in the WT at HS was abolished in the G6PD-deficient strain (ZWF1Δ), confirming the essential role of the PPP activity (Figure 3A).

Glutathione recycling is essential for the heat shock induced replicative lifespan extension. (A) NADP+/NADPH ratio decreased in the WT during heat shock, suggesting increased NADPH levels. However, the ratio was unaffected by heat shock in the petite strain, the HAP4Δ strain, in the presence of CCCP, in the strain deficient in G6PD (ZWF1Δ), or in the strain carrying overexpression of SOD2. (B) GSH levels were increased in the WT during heat shock. Heat shock did not induce the GSH levels in the petite, HAP4Δ strain, WT in the presence of CCCP, in the strain deficient in G6PD (ZWF1Δ), or in the strain carrying overexpression of SOD2. (C) Oxygen consumption was increased under heat shock in the GLR1Δ strain. Oxygen uptake was measured polarographically using a Clark-type electrode equipped oxygraph. (D) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was increased in the GLR1Δ strain during heat shock. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (E) qPCR measurement of gene expression levels showed that the absence of GLR1 did not affect the heat shock induced metabolic changes, also observed in the WT. Color of the squares on the heat map corresponds to the mean value of the log fold change from three biological and three technical replicates. UBC6 was used for normalization. (F) NADP+/NADPH ratio remained unchanged during heat shock in the GLR1Δ strain. (G) GSH levels decreased during heat shock in the GLR1Δ strain. (H) Mean and maximum replicative lifespan (RLS) were decreased in GLR1Δ following heat shock. RLS of the double mutant HAP4ΔGLR1Δ revealed that GLR1 is epistatic to HAP4 under the conditions of mild heat shock. The number of curated cells if 87 for GLR1Δ, 107 for GLR1Δ HS, 96 for HAP4ΔGLR1Δ and 99 for HAP4ΔGLR1Δ HS. P value is P P P

Figure 3. Glutathione recycling is essential for the heat shock induced replicative lifespan extension. (A) NADP⁺/NADPH ratio decreased in the WT during heat shock, suggesting increased NADPH levels. However, the ratio was unaffected by heat shock in the petite strain, the HAP4Δ strain, in the presence of CCCP, in the strain deficient in G6PD (ZWF1Δ), or in the strain carrying overexpression of SOD2. (B) GSH levels were increased in the WT during heat shock. Heat shock did not induce the GSH levels in the petite, HAP4Δ strain, WT in the presence of CCCP, in the strain deficient in G6PD (ZWF1Δ), or in the strain carrying overexpression of SOD2. (C) Oxygen consumption was increased under heat shock in the GLR1Δ strain. Oxygen uptake was measured polarographically using a Clark-type electrode equipped oxygraph. (D) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was increased in the GLR1Δ strain during heat shock. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (E) qPCR measurement of gene expression levels showed that the absence of GLR1 did not affect the heat shock induced metabolic changes, also observed in the WT. Color of the squares on the heat map corresponds to the mean value of the log fold change from three biological and three technical replicates. UBC6 was used for normalization. (F) NADP⁺/NADPH ratio remained unchanged during heat shock in the GLR1Δ strain. (G) GSH levels decreased during heat shock in the GLR1Δ strain. (H) Mean and maximum replicative lifespan (RLS) were decreased in GLR1Δ following heat shock. RLS of the double mutant HAP4ΔGLR1Δ revealed that GLR1 is epistatic to HAP4 under the conditions of mild heat shock. The number of curated cells if 87 for GLR1Δ, 107 for GLR1Δ HS, 96 for HAP4ΔGLR1Δ and 99 for HAP4ΔGLR1Δ HS. P value is <0.0001 (Mantel-Cox). Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P < 0.001; **P < 0.01; *P < 0.05 (ANOVA plus post hoc).

One of the cellular roles of NADPH is to contribute to the prevention of oxidative stress by providing electrons to maintain the redox buffers in the reduced form. The most abundant redox buffer in the cell is glutathione (GSH), whose oxidized form (GSSH) is reduced to GSH by NADPH via glutathione reductase (Glr1p) (26). In WT, GSH level increased by approximately 30% during HS (Figure 3B), in line with the increase in the transcript levels of GLR1 (Figure 1C). However, addition of CCCP to the medium during HS prevented the increase in GSH levels (Figure 3B) or the expression level of GLR1 (Figure 1C; Figure 2D). Moreover, in the absence of ZWF1 (G6PD), GSH levels failed to increase, confirming that NADPH is required for glutathione recycling (Figure 3B, Figure S3). In the oe SOD2 strain, the basal levels of GSH were lower than in WT, and were unperturbed by HS (Figure 3B), most likely because the superoxide was efficiently neutralized by the Sod2p and further antioxidative protection was not required. Based on these results, we hypothesized that the GSH increase may be among the most distal events responsible for the RLS extension in WT at HS. Therefore, we turned to a mutant deficient in Glr1p (GLR1Δ), which catalyzes glutathione reduction during HS, thus replenishing the cellular stocks of GSH.

During HS, the oxygen consumption increased in the GLR1Δ background (Figure 3C), as did the mitochondrial superoxide levels (Figure 3D), similar to the trends observed in the WT strain (Figure 1D, Figure 2A). Importantly, the qPCR gene expression level measurement revealed that the GLR1Δ strain experiences similar changes during HS as the WT strain: the repression of glycolysis, activation of respiration and pentose phosphate pathway are most prominent changes (Figure 3E). The GLR1Δ strain also displayed no change in NADP⁺/NADPH ratio at HS, presumably due to accumulation of the NADPH produced by the activated PPP (Figure 3F). Despite the increased availability of NADPH (Figure S5), the GSH levels were significantly lower in GLR1Δ at HS (Figure 3G), clearly due to the absence of GLR1. Importantly, the HS-induced RLS extension was absent in GLR1Δ background; maximum RLS was 19 generations following HS, compared to 21 generations at OGT (Figure 3H, dashed line).

To consider the existence of epistasis between HAP4 and GLR1, we performed RLS measurement on a strain carrying deletions of both HAP4 and GLR1 genes, HAP4ΔGLR1Δ. At optimal growth temperature the RLS of the HAP4ΔGLR1Δ mutant was consistent with the RLS of HAP4Δ with median RLS of 12 generations, and the maximum RLS of 18 generations (Figure 3H, dotted line). Following the exposure to transient HS, the median RLS of the HAP4ΔGLR1Δ mutant was approximately 10 generations and the maximum 16 generations (Figure 3H, dotted line). The HS-induced RLS extension was absent in the HAP4ΔGLR1Δ mutant, and the RLS was similar to the one of the GLR1Δ strain. Based on this result we propose that during the employed HS GLR1 is epistatic to HAP4, supporting the claim that the enhanced respiration lead to the activation of glutathione recycling. Moreover, these results strongly suggest that mitochondrial superoxide or related reactive oxygen species (ROS) like hydrogen peroxide could be responsible for triggering the activation of the PPP, thus supporting the increase in GSH levels by producing NADPH, ultimately essential for the HS-induced RLS extension in yeast.

Replenishment of the GSH level during HS relies on Yap1p

Previous research has identified Yap1p as the transcription factor critical for the oxidative stress response in yeast, acting through upregulation of key enzymes of glutathione synthesis [27]. Therefore, we tested the Yap1p involvement in the glutathione recycling using a YAP1-deficient strain (YAP1Δ). YAP1Δ strain underwent an increase in the oxygen consumption (Figure 4A), as well as an almost 2-fold increase in the levels of mitochondrial superoxide during HS (Figure 4B). Transcript level analysis of the YAP1Δ strain during HS revealed metabolic changes consistent with the ones observed in WT strain: repression of glycolysis, along with increased transcript levels of the respiratory chain subunits, pentose phosphate pathway, and fatty acid oxidation enzymes (Figure 4C). Increased transcript levels of chaperones also revealed activation of the HSR (Figure 4C). In the context of antioxidant protection, superoxide dismutases (SOD1 and SOD2) and the catalases (CTA1 and CTT1) were upregulated (Figure 4C). However, there were no observed changes in levels of GLR1 and GSH1 compared with WT (Figure 4C). Consistent with these results, NADP⁺/NADPH ratio decreased during HS (Figure 4D), but the GSH level remained the same as at the OGT (Figure 4E). YAP1Δ strain was characterized by a median RLS of 11 generations at OGT and 9 generation at HS; its maximum RLS was 15 and 12 generations, at OGT and HS, respectively (Figure 4F). Therefore, the strain lacking the Yap1p transcription factor displayed a shortened RLS at OGT, and underwent a further decrease at HS, speaking in favor of importance of glutathione synthesis in the HS-induced longevity.

Yap1p is required for the mild heat shock induced RLS extension. (A) Oxygen consumption was increased under heat shock in the YAP1Δ strain. Oxygen uptake was measured polarographically using a Clark-type electrode equipped oxygraph. (B) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was increased in the YAP1Δ strain during heat shock. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (C) qPCR measurement of gene expression levels showed that the absence of YAP1 did not affect the heat shock induced metabolic changes observed in WT. (D) NADP+/NADPH ratio was decreased during heat shock in the YAP1Δ strain. (E) GSH levels were not affected by heat shock in the YAP1Δ strain. (F) Mean and maximum replicative lifespan (RLS) were decreased in YAP1Δ already at OGT, and further decreased following heat shock. The number of curated cells is 74 for YAP1Δ and 84 for YAP1Δ HS. Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P P P

Figure 4. Yap1p is required for the mild heat shock induced RLS extension. (A) Oxygen consumption was increased under heat shock in the YAP1Δ strain. Oxygen uptake was measured polarographically using a Clark-type electrode equipped oxygraph. (B) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was increased in the YAP1Δ strain during heat shock. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (C) qPCR measurement of gene expression levels showed that the absence of YAP1 did not affect the heat shock induced metabolic changes observed in WT. (D) NADP⁺/NADPH ratio was decreased during heat shock in the YAP1Δ strain. (E) GSH levels were not affected by heat shock in the YAP1Δ strain. (F) Mean and maximum replicative lifespan (RLS) were decreased in YAP1Δ already at OGT, and further decreased following heat shock. The number of curated cells is 74 for YAP1Δ and 84 for YAP1Δ HS. Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P < 0.001; **P < 0.01; *P < 0.05 (ANOVA plus post hoc).

TORC1 inactivation is necessary for heat shock-induced increase in respiration

In order to gain insight into the mechanism of respiration activation during HS, we tested the involvement of TORC1 complex, previously shown to impact respiratory activity in yeast [28]. As reliable antibodies for phosphorylated Sch9p, the target of the TORC1 complex, are not available, we used the approach employed by Beck et al., that involved measuring transcriptional targets downstream of TORC1, which were shown to be upregulated upon TORC1 inhibition [29]. Increased transcript levels of GLN1, MEP2, and GAP1 suggest that TORC1 was inhibited during HS, with a similar trend being observed after control treatment with rapamycin, an inhibitor of TORC1 (Figure 5A). This result was further supported by live cell imaging of yeast cells bearing GFP tagged Tor1p kinase (Tor1-GFP). Live cell imaging shows Tor1-GFP localized at the vacuole membrane (stained with CellTracker Blue) during OGT conditions, from where it relocated to the cytoplasm during HS, forming granules (Figure 5B) [30]. More specifically, at OGT, around 80% of the cells had Tor1-GFP localized to the vacuolar membrane (Figure 5B, Figure 5C). After 3 hours of HS this proportion of cells decreased to 7%, consistent with TORC1 deactivation: rapamycin treatment caused this proportion of cells to decrease to 17% (Figure 5B, Figure 5C). To test if TORC1 inhibition is required for the respiration increase during HS, we used a strain carrying an A1957V substitution within the Tor1p kinase rapamycin binding domain, making it constitutively active (caTor1) [20,31]. In the caTor1background, a 3 hour HS did not trigger an increase in oxygen consumption (Figure 5D), nor did it significantly influence mitochondrial superoxide levels (Figure 5E). qPCR measurement of gene transcript levels revealed already known changes in the metabolic activity characteristic for this strain already at optimal growth temperature [20]: slight increase in the expression levels of genes encoding for glycolytic enzymes and a decline for the TCA cycle enzymes (Figure 5F). However, at HS, respiratory chain, TCA cycle, glycolysis, and the antioxidant protection did not undergo any changes in gene expression levels (Figure 5F). The only changes that caTor1 strain exhibited at HS were the upregulation of POX1 and POT1, regulatory enzymes of the fatty acid oxidation, as well as the upregulation of the heat shock response chaperones (Figure 5F). No changes could be observed in the NADP⁺/NADPH ratio during HS in caTor1 strain (Figure 5G), or in the GSH levels (Figure 5H). Finally, HS induced RLS extension was not observed in the caTor1 strain; median RLS for both conditions was 13 generations, while maximum RLS was 21 generations (Figure 5I).

$TORC1 inactivation is essential for heat shock-induced activation of respiratory activity. (A) qPCR measurements of expression levels of TORC1 transcriptional targets revealed their upregulation during heat shock, consistent with TORC1 inhibition using rapamycin. (B) Imaging using spinning disc confocal fluorescence microscopy showed deactivation of TORC1 by its displacement from the vacuolar membrane into distinct cytosolic puncta during heat shock and during rapamycin treatment. The black bar represents 5μm (C) Quantification of the cell fractions with differential localization of Tor1-GFP. Data on the graph are mean ± SD from three independent cultures. A minimum of 200 cells was quantified for each condition. P values calculated using multiple t-tests for each condition and shown in the table. *P D) Oxygen consumption remained unaffected during heat shock in the strain with constitutively active Tor1 kinase (E) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was unchanged during heat shock in the strain with constitutively active Tor1 kinase. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (F) qPCR measurement of gene expression levels showed that the strain with constitutively active Tor1 kinase exhibited slight increase in levels of glycolytic enzymes and downregulation of TCA cycle compared with WT. (G) NADP+/NADPH ratio was not changed during heat shock in the caTor1 strain. (H) GSH levels were decreased during heat shock in the caTor1 strain. (I) Mean and maximum replicative lifespan (RLS) remain unchanged in caTor1 strain under heat shock. Control cells were kept constantly at 30oC. The number of curated cells is 83 for caTor1 and 92 for caTor1 HS. P value is >0.05 (Mantel-Cox). Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P P P$

Figure 5. TORC1 inactivation is essential for heat shock-induced activation of respiratory activity. (A) qPCR measurements of expression levels of TORC1 transcriptional targets revealed their upregulation during heat shock, consistent with TORC1 inhibition using rapamycin. (B) Imaging using spinning disc confocal fluorescence microscopy showed deactivation of TORC1 by its displacement from the vacuolar membrane into distinct cytosolic puncta during heat shock and during rapamycin treatment. The black bar represents 5μm (C) Quantification of the cell fractions with differential localization of Tor1-GFP. Data on the graph are mean ± SD from three independent cultures. A minimum of 200 cells was quantified for each condition. P values calculated using multiple t-tests for each condition and shown in the table. *P <0.001. (D) Oxygen consumption remained unaffected during heat shock in the strain with constitutively active Tor1 kinase (E) Mitochondrially produced superoxide (measured by FACS as MitoSOX fluorescence in 10000 cells) was unchanged during heat shock in the strain with constitutively active Tor1 kinase. The results are presented as the percentage of MitoSOX fluorescence detected in WT strain at optimal growth temperature. (F) qPCR measurement of gene expression levels showed that the strain with constitutively active Tor1 kinase exhibited slight increase in levels of glycolytic enzymes and downregulation of TCA cycle compared with WT. (G) NADP⁺/NADPH ratio was not changed during heat shock in the caTor1 strain. (H) GSH levels were decreased during heat shock in the caTor1 strain. (I) Mean and maximum replicative lifespan (RLS) remain unchanged in caTor1 strain under heat shock. Control cells were kept constantly at 30^oC. The number of curated cells is 83 for caTor1 and 92 for caTor1 HS. P value is >0.05 (Mantel-Cox). Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P < 0.001; **P < 0.01; *P < 0.05 (ANOVA plus post hoc).

The exact mechanism through which TORC1 is deactivated during HS will be subject to further study. However, our results so far present sufficient evidence that inactivation of TORC1 is indeed necessary for respiration increase during HS, as well as its downstream consequences; specifically, mild, transient HS mediated RLS extension. Furthermore, the transcript level analysis of the caTor1 strain shows that the repression of glycolysis is dependent on TORC1 deactivation under HS, and is parallel to and independent from the activation of respiration.

Discussion

Hormetic lifespan extension is a consequence of transient exposure to a low dose of a stressor such as heat, but the exact mechanisms that give rise to this effect are complex and not fully understood. It has been previously suggested that HS-induced protein misfolding triggers the activation of cell defense mechanisms, ultimately leading to lifespan extension [14, 15]. While several HS proteins are induced in yeast in response to heat stress, Hsp104p disaggregase has been proven essential for the HS-induced RLS extension [8, 32, 33], thus underscoring the importance of proper management of misfolded and aggregated proteins to survival during stress. Recently, another major contribution to reduced mortality under HS has been revealed: the opening of the diffusion barrier in the nuclear envelope promotes the heat stress-induced longevity in yeast, likely by enabling the damaged cell components to diffuse from the mother into the daughter cells when grown at 37°C [12]. Together, these observations show that the stress response is tightly controlled and adapted for the severity and duration, as well as the type of the stressor, as opposed to simply being a consequence of massive promotion of proteostasis by increased transcription of heat shock proteins alone. Notwithstanding, due to this complexity, one cannot exclude the existence of other mechanisms and pathways involved in stress survival, nor the interconnections between them.

Our results suggest that oxidative stress response, activated during HS as a reaction to enhanced respiratory activity and mitochondrial superoxide production, is essential to the HS mediated lifespan extension, as well as improved redox homeostasis (Figure 6). This conclusion is supported by several observations. First, the switch from fermentative to respiratory growth at HS was essential for the RLS extension (petite and HAP4Δ strains failed to extend RLS upon HS exposure). More importantly, as superoxide produced during enhanced respiratory activity is neutralized by the increased levels of Sod2p, the oe SOD2 strain does not have extended RLS despite exhibiting the same switch from glycolysis to respiratory growth as WT. Furthermore, we find that redox homeostasis maintenance is epistatic to the enhanced respiratory activity under the conditions of mild HS in the WT strain. In the strain overexpressing SOD2, thereby suppressing the mitochondrial superoxide, the pentose phosphate pathway activation and consequent increase in NADPH and GSH levels were not observed, thus strengthening the conclusion that superoxide triggers the response ultimately leading to RLS extension. However, despite compelling evidence provided by the oe SOD2 strain, based on the available results we cannot conclude that specifically superoxide is responsible for triggering the detected downstream events. Due to upregulation of Ctt1p and Cta1p we are not able to exclude the increase in the levels of hydrogen peroxide, H₂O₂, usually detoxified by glutathione and catalases. Therefore, we can conclude that compounded response of superoxide and hydrogen peroxide elicits the described changes and culminates in the RLS extension. The interplay between oxidative stress and HS has already been discussed in the context of its relevance in the survival of the severe HS [27], while our results underscore its importance in the heat induced hormesis. It should be emphasized that at this point we cannot comment on the long term benefits of the metabolic reprogramming during mild HS, as we did not investigate the sustainability of the observed metabolic changes in the mother cells that underwent HS. Whether the metabolic changes persist when the mother cells enter old reproductive age is an issue that will be addressed in future studies.

Schematic representation of the proposed mechanisms culminating in the replicative lifespan extension. Enhanced respiration, triggered by TORC1 inactivation, leads to increased superoxide production, which causes activation of antioxidant defenses and redox homeostasis maintenance (glutathione recycling), essential for heat-induced longevity.

Figure 6. Schematic representation of the proposed mechanisms culminating in the replicative lifespan extension. Enhanced respiration, triggered by TORC1 inactivation, leads to increased superoxide production, which causes activation of antioxidant defenses and redox homeostasis maintenance (glutathione recycling), essential for heat-induced longevity.

Here we find that during HS, cells undergo a fundamental change from consumption of glucose via glycolysis to respiration, usually characteristic of post-diauxic shift metabolism triggered by exhaustion of glucose from the medium. In this case however, yeast switch to respiratory metabolism during HS exposure in early exponential growth phase in a TORC1-dependent manner, despite glucose being abundant. It has previously been reported that, during HS, TORC1 is sequestered into stress granules, rendering it inactive [30]. We show that even mild and transient exposure to heat stress is sufficient to inhibit TORC1 activity by its sequestration into distinct foci. This is another example of TORC1-inactivation promoting longevity, a widely known phenomenon and one of the best studied lifespan extending treatments [34–37]. Although the molecular mechanisms of TORC1 inactivation during HS remain to be elucidated, it appears to be the pivotal event without which neither activation of respiration or the RLS extension cannot occur following HS (Figure 6), as demonstrated by the experiments performed with the strain carrying constitutively active Tor1p. Previous research has also reported on the importance of adaptive response to superoxide for chronological lifespan (CLS) extension observed in the yeast upon inhibition of TOR signaling, congruent with the results presented here. Sod2p has been shown to act downstream of the Sch9p, one of the targets of the TORC1 complex, and has been proven essential for the CLS extension observed in the SCH9Δ strain [38]. Consistent with our results, TORC1 inhibition (deletion of Tor1p or treatment with rapamycin) was shown to activate respiratory activity, thus increasing mitochondrial superoxide production and extending CLS in budding yeast [39–41].

Further, we uncovered an essential role of the PPP activation during HS as a source of NADPH used for glutathione reduction, the most distal event detected here that is responsible for the HS-mediated RLS extension (Figure 6). Dependence on glucose metabolism through the PPP has been proven important in neurons in the context of protection against superoxide produced by oxidative phosphorylation. In that context, production of NADPH via the oxidative branch of the PPP is indispensable due to its role as an electron donor in reduction of oxidized glutathione [42]. Redirection of glucose from glycolysis towards the PPP involves inactivation of glycolytic enzyme GAPDH and has previously been reported crucial in counteracting oxidative stress [43], and here we demonstrate its key role in the context of HS mediated lifespan extension.

Moreover, the interconnection between aerobic lifestyle and glutathione levels has previously been addressed. Several reports have shown that yeast is unable to grow on non-fermentable carbon sources in the absence of glutathione synthetase, Gsh1p (GSH1) [44,45]. Moreover, the role of glutathione in the cell survival during severe HS in yeast (41^oC, 1 hour) has been investigated. Consistent with our results, GSH levels are shown to increase during severe HS in a Yap1p dependent manner [27] and provide an important contribution to cell survival of severe HS. The GSH increase is believed to protect the mitochondrial DNA from harmful mutations and is essential for survival of severe HS [27,45]. Our results extend the utility of oxidative stress response activated due to increased respiration past the one of enabling bare survival during severe stress, to being key to lifespan extension following mild and transient heat stress.

Together, these observations demonstrate that hormetic stress response is greater than the sum of its parts; while the relevant pathways are generally known and individually well studied, they often act together in complex and synergistic manner. Our results suggest that the cellular response to HS encompasses not only the response to heat-induced protein misfolding, but also the responses to oxidative stress that include antioxidant defenses supported by metabolic reprogramming. A better understanding of how hormetic effects come about after cells survive different types of stress does not only strengthen our understanding of cellular processes but also opens up new directions in hormesis mimetics research.

Materials and Methods

Strains and growth conditions

Wild type Saccharomyces cerevisiae Y258 was used. WT Y258 and the Sod2p overexpressing (oe SOD2) strains were purchased from Thermo Scientific (Dharmacon), and deletion mutants were constructed using a homologous recombination based procedure whereby the target gene was replaced by a hygromycin B resistance cassette [46]. Hygromycin B resistance cassette was amplified from pAG32 plasmid (Addgene). Oligonucleotides used for gene deletions are listed in the Table S2. Petite mutant strains were constructed following a standard protocol [47]. Y258 and petite strains were grown on YPD medium with 2% (w/v) glucose, deletion mutants on YPD medium with 2% (w/v) glucose and 100 μg/mL hygromycin B (Sigma), and oe SOD2 strain in uracil drop-out (-URA) medium with 2% (w/v) glucose, at 30^oC with shaking. Expression from the plasmid was induced by 2% galactose using the following procedure: overnight culture was diluted 100x and grown until mid-exponential phase. Then, the cells were pelleted by a 5-min centrifugation at 4000 g and resuspended in -URA medium without glucose, supplemented with 2% galactose. Empty vector control is always treated in the same way.

HS experiments were performed at 34^oC with shaking for 3 hours starting from early exponential phase, OD 0.2-0.3, while the control cells were kept at 30^oC. For pharmacological treatments the following final concentrations were used: 220 nM rapamycin, and 10 μM carbonyl cyanide m-chlorophenyl hydrazine (CCCP). The rapamycin treatment was performed for 90 minutes starting in the mid-exponential growth stage, OD 0.5-0.6. The cells were exposed to CCCP during HS, and at optimal growth temperature for control, starting in early exponential phase (OD 0.2-0.3) and lasting 3 hours. Unless otherwise stated, the cells were harvested by 5-minute centrifugation at 3500 × g, washed and treated accordingly.

Replicative lifespan measurement

Replicative lifespan (RLS) for all strains was determined by micromanipulation. RLS measurement involves counting the number of daughters produced by individual mother cells. Control cells were incubated at 30°C on YPD plates for the duration of the experiment. HS was performed by placing the YPD plates at 34^oC for 3 hours at the cell replicative age of 1-3 generations. For the RLS measurement of the oe SOD2 strain, -URA plates were used. Briefly, using a microdissection apparatus equipped microscope suitable for yeast (Singer Instruments), cells were transferred to defined places on the agar plates and virgin daughter cells were collected. Each cell was monitored continuously over several days every 60-90 minutes until all mother cells stopped budding. A total number of daughter cells was noted for each mother cell.

GSH extraction and measurement

Cells were collected, washed and wet weight of the cell pellets was measured. Then, cell wall was lysed in 10mM PBS supplemented with zymolyase (0.06 U/µL). Solution containing spheroplasts was centrifuged at 3500 x g, and the pellet was further treated with spheroplast lysis buffer (1mL buffer per 0.5 g of cell pellet; 0.6 M sorbitol, 10 mM Tris-HCl (pH 7.4), 1 mM PMSF). The solution was kept on ice for 30 minutes with occasional vigorous vortexing, and centrifuged at 14,000 x g. Pellet was discarded. In order to avoid the detection of thiol groups from proteins, proteins were precipitated using trichloracetic acid (TCA), where 1 volume of 100% TCA was mixed with 4 volumes of cellular extract followed by a 10-minute incubation at 4^oC. Protein precipitate was pelleted by centrifugation at 10,000 x g for 5 minutes. The supernatant was collected and used for the measurement of GSH by the method of Ellman [48] 2mM 5,5'-Dithio-bis(2-nitrobenzoic acid) (DTNB, Ellman’s reagent, Sigma) stock solution was prepared and stored at 4^oC. DTNB working solution was prepared by pre-mixing 50 μL of the DTNB stock, 100 μL of 1M Tris pH 8.0 and 840 μL of water, which is then mixed with 10 μL of the sample, followed by a 5-minute incubation at room temperature. Absorbance is measured at 412 nm. Molarity of SH groups is then calculated by dividing the absorbance with the molar extinction coefficient, 13600M^-1 cm^-1.

Growth curves

Overnight cultures grown at 30°C were diluted 50x in YPD with 2% glucose, and 200 µL were aliquoted in triplicate in U-bottom transparent 96 well plates. Plates were incubated in a temperature controlled Tecan Infinite F200 instrument with shaking, and OD measurement was taken every 15 minutes to construct the growth curves. Generation times were extrapolated from the exponential growth phase of the curve using the following formula, where N₀ is the beginning OD value, N_t is the ending OD value, and t is the time between N₀ and N_t:

$\frac{l o g 10 (\frac{N t}{N 0})}{o . 3} = g; \frac{t}{g} = d o u b l i n g t i m e$

Respiration measurement

Oxygen uptake was monitored polarographically with an oxygraph equipped with a Clark-type electrode (Oxygraph, Hansatech, Norfolk, UK). Cells were harvested during the exponential growth phase, spun and resuspended in appropriate medium at the density of 30 × 10⁶ cells/mL. 500 µl of culture was transferred to an airtight 1.5 mL oxygraph chamber. Cells were assayed in conditions closely similar to the ones in a flask culture (30°C and stirring). Oxygen content was monitored for at least 4 minutes. To ensure the oxygen consumption observed was due to the mitochondrial activity, complex III inhibitor antimycin (final concentration 10 μg/mL) was routinely added to the cultures and compared to the rate observed without antimycin.

Flow cytometry – ROS level measurements

For the mitochondrial superoxide measurement, cells were incubated in the dark with 3 μM MitoSOX Red (Thermo Scientific) for 10 minutes at 37°C with shaking. For the total ROS level measurement, cells were incubated in the dark with 10 μg/μL 2’,7’-dichlorofluorescein diacetate (H2DCFDA, Sigma) for 120 min at 37°C. Subsequently, all samples analyzed on FACSCalibur flow cytometer. Fluorescence of both dyes was measured in 10,000 cells using excitation at 488 nm and monitoring emission at 635 nm. The collected data was analyzed using FlowJo software version 7.2.5 for Microsoft (TreeStar, San Carlos, CA, USA) to determine the mean green fluorescence intensity after each treatment. The results are expressed as the mean fluorescence of the 10,000 cells. MitoSOX as well as H2DCFDA fluorescence of all strains is expressed as the percentage of the WT fluorescence at optimal growth temperature.

NADP⁺/NADPH ratio measurement

NADP⁺/NADPH ratio was measured using the NADP⁺/NADPH Quantification Kit from Sigma (MAK038) according to the manufacturer's instructions. Briefly, cells were harvested as previously described and washed using cold 10 mM PBS pH 7.4, followed by a 1 hour zymolyase treatment at 37^oC. Spheroplasts were harvested by centrifugation at 3000 rpm for 5 minutes and treated with NADP⁺/NADPH extraction buffer supplied in the kit for 10 minutes on ice. Samples were then centrifuged at 10000 × g for 10 minutes and the supernatant was collected. Protein concentration was measured in the supernatant and used for normalization of NADP⁺/NADPH ratios. Aliquots of the extracted samples were stored for measurement to give the levels of NADP_total. In the rest of the extracted samples, to detect NADPH, NADP⁺ is decomposed by heating the extracted samples to 60°C for 30 minutes in a water bath, followed by cooling on ice. Under these conditions, all NADP⁺ is decomposed leaving only NADPH. Standards and samples were distributed into a 96-well plate and exposed to a master reaction mix followed by a 5-minute incubation at room temperature and the addition of NADPH developer, supplied in the kit. The absorbance is then read at 450 nm. The NADP⁺/NADPH ratio is calculated according to the following equation:

ratio= (NADP_total-NADPH)/NADPH

Vacuole staining

Yeast cultures were grown and treated as described above for the OGT control, HS treated culture and the treatment with rapamycin. CellTracker Blue CMAC (4-amino-4chloromethylcoumarin; Invitrogen) dye was added directly to the culture medium (0.1 mM final concentration) to the growing cultures and incubated for 30 minutes. Immediately after staining cells were collected and imaged as described below.

Live cell imaging

Slide preparation

Microscope slides were prepared as follows: 200 μL of YPD media containing 2% agarose was placed on a preheated (30^oC for OGT and 34^oC for HS) microscope slide, covered with a cover slip, and cooled before applying yeast cells directly onto the YPD-agarose pad to obtain a monolayer. Once dry, the cover slip was placed back and sealed. The slide was mounted on temperature-controlled Nikon Ti-E Eclipse inverted/UltraVIEW VoX (Perkin Elmer) spinning disc confocal setup, driven by Volocity software (version 6.3; Perkin Elmer). Images were recorded through 60xCFI PlanApo VC oil objective (NA 1.4) using coherent solid state 488 nm/50 mW diode laser with DPSS module, and 1000x1000 pixels 14 bit Hamamatsu (C9100-50) electron-multiplied, charge-coupled device (EMCCD). Unless specified otherwise, images were processed using Image J software.

Tor1p localization analysis

Untreated control strain with Tor1-GFP fusion (obtained as a gift from Prof. Tatsuya Maeda) as well as Tor1-GFP strains treated with 220 nM rapamycin or HS (described elsewhere) were centrifuged at 4000 × g for 3 minutes, resuspended in ≈50 μL YPD, and placed on agarose pads and imaged as described above. Images were analyzed using ImageJ software and manually scoring fractions of cells displaying distinct Tor1-GFP localization. Cells were scored as having completely vacuolar, completely cytosolic, or Tor1-GFP localization in both compartments.

Mitochondrial morphology

Mitochondrial morphology was monitored using the MitoLoc plasmid (obtained as a gift from Prof. Markus Ralser) [49]. Each studied yeast strain was transformed according to the described protocol [50] with the only difference that the cells were incubated with the plasmid overnight at room temperature. The exposure time was 100 ms for GFP and 5–10% laser intensity was used. Approximately 500 cells of each condition were examined. Images were analyzed using ImageJ software with the MitoLoc plugin.

Statistical analysis

Unless otherwise stated, data in graphs are mean ± SEM from three biological and three technical replicates. ***P < 0.001; **P < 0.01; *P < 0.05 (ANOVA plus post hoc or log-rank (Mantel–Cox) test.

RNA extraction

Total RNA was isolated from yeast cells following the procedure of the NucleoSpin RNA kit (Macherey & Nagel) for up to 3 × 10⁸ yeast cells, which dictates incubation with 50-100 U of zymolyase for 1 hour at 30°C. The quality of resulting total mRNA was tested on 1% agarose gels.

Quantitative real-time PCR

cDNA was synthesized from 1000ng of total RNA using iScript^TM cDNA Synthesis Kit (Biorad). The resulting cDNA was diluted 100×, mixed with primer pairs for each gene and SYBRgreen (BioRad). All primer pairs were designed using Oligo Calc: Oligonucleotide Properties Calculator to have a melting temperature of 60°C and their sequences are given in Table S2. The qPCR reaction was run on a QuantFlexStudio 6 (Life Technologies) using 40 cycles, after which the melting curves for each well were determined. qPCR differential expression was estimated with EasyqpcR (https://bioconductor.org/packages/release/bioc/html/EasyqpcR.html) using the methods from [51]. Final fold change values were estimated relative to the UBC6 gene in the control strain replicates.

RNA Sequencing

Sequence mapping

Sequenced reads (Illumina 50bp single-end) were mapped to the SacCer3 reference genome (April 2001 revision,http://www.ncbi.nlm.nih.gov/assembly/285498/, genome obtained from the UCSC Genome Browser sitehttp://genome.ucsc.edu/ [52],) using the STAR aligner (version 2.3.0e, [53]). Reference transcripts were obtained from the Ensembl yeast genome resource in GTF format.

Read counting

Raw read counts were determined from the overlaps with the Ensembl yeast genes using the htseq-count version 0.6.0. from the HTSeq framework [54], with the following parameters: -a 10 –s no.

Differential expression analysis

Raw reads were analyzed for differential expression with the DeSeq2 package [55] within the Bioconductor framework [56] under R statistical package (R Core Team), by previously filtering out the outlier replicates with PCA analysis. Selected genes were visualized in a heatmap by using log2(FC) values. Conditions with adjusted p-value lower than 0.1 were crossed out as not significant (labeled with a gray X sign).

Supplementary Materials

Supplementary Figures

Table S1

Table S2

Acknowledgements

The authors would like to thank Tea Copić, Dirk Schwitters and Iva Pešun Međimorec for their excellent technical contribution.

Conflicts of Interest

The authors have no conflicts of interest to declare.

Funding

This work was supported by the Foundation Nelia et Amedeo Barletta, NAOS Group, and the Mediterranean Institute for Life Sciences to MP, MM, AL, MR, and AK. AK also received support from SFB1190 grant. KV was supported by the European Structural and Investment Funds grant for the Croatian National Centre of Research Excellence in Personalized Healthcare (contract #KK.01.1.1.01.0010), Croatian National Centre of Research Excellence for Data Science and Advanced Cooperative Systems (contract KK.01.1.1.01.0009 and Croatian Science Foundation (grant IP-2014-09-6400). NR and PBD are supported by the ERC grant 337327, and IM by Emmy Noether Young Investigator Award from the Deutsche Forschungsgemeinschaft (DFG). NR and IM share the SFB1190/P2 grant from the DFG.

References

1. Mattson MP. Hormesis defined. Ageing Res Rev. 2008; 7:1–7. https://doi.org/10.1016/j.arr.2007.08.007 [PubMed]
2. Calabrese EJ, Mattson MP. How does hormesis impact biology, toxicology, and medicine? NPJ Aging Mech Dis. 2017; 3:13. https://doi.org/10.1038/s41514-017-0013-z [PubMed]
3. Calabrese EJ, Bachmann KA, Bailer AJ, Bolger PM, Borak J, Cai L, Cedergreen N, Cherian MG, Chiueh CC, Clarkson TW, Cook RR, Diamond DM, Doolittle DJ, et al. Biological stress response terminology: integrating the concepts of adaptive response and preconditioning stress within a hormetic dose-response framework. Toxicol Appl Pharmacol. 2007; 222:122–28. https://doi.org/10.1016/j.taap.2007.02.015 [PubMed]
4. Cypser JR, Johnson TE. Multiple stressors in Caenorhabditis elegans induce stress hormesis and extended longevity. J Gerontol A Biol Sci Med Sci. 2002; 57:B109–14. https://doi.org/10.1093/gerona/57.3.B109 [PubMed]
5. Rattan SI, Demirovic D. Hormesis can and does work in humans. Dose Response. 2009; 8:58–63. https://doi.org/10.2203/dose-response.09-041.Rattan [PubMed]
6. Mattson MP. Hormesis and disease resistance: activation of cellular stress response pathways. Hum Exp Toxicol. 2008; 27:155–62. https://doi.org/10.1177/0960327107083417 [PubMed]
7. Li F, Mao HP, Ruchalski KL, Wang YH, Choy W, Schwartz JH, Borkan SC. Heat stress prevents mitochondrial injury in ATP-depleted renal epithelial cells. Am J Physiol Cell Physiol. 2002; 283:C917–26. https://doi.org/10.1152/ajpcell.00517.2001 [PubMed]
8. Shama S, Lai CY, Antoniazzi JM, Jiang JC, Jazwinski SM. Heat stress-induced life span extension in yeast. Exp Cell Res. 1998; 245:379–88. https://doi.org/10.1006/excr.1998.4279 [PubMed]
9. López-Martínez G, Hahn DA. Early life hormetic treatments decrease irradiation-induced oxidative damage, increase longevity, and enhance sexual performance during old age in the Caribbean fruit fly. PLoS One. 2014; 9:e88128. https://doi.org/10.1371/journal.pone.0088128 [PubMed]
10. Scott BR. Radiation-hormesis phenotypes, the related mechanisms and implications for disease prevention and therapy. J Cell Commun Signal. 2014; 8:341–52. https://doi.org/10.1007/s12079-014-0250-x [PubMed]
11. Olsen A, Vantipalli MC, Lithgow GJ. Lifespan extension of Caenorhabditis elegans following repeated mild hormetic heat treatments. Biogerontology. 2006; 7:221–30. https://doi.org/10.1007/s10522-006-9018-x [PubMed]
12. Baldi S, Bolognesi A, Meinema AC, Barral Y. Heat stress promotes longevity in budding yeast by relaxing the confinement of age-promoting factors in the mother cell. eLife. 2017; 6:6. https://doi.org/10.7554/eLife.28329 [PubMed]
13. Kumsta C, Chang JT, Schmalz J, Hansen M. Hormetic heat stress and HSF-1 induce autophagy to improve survival and proteostasis in C. elegans. Nat Commun. 2017; 8:14337. https://doi.org/10.1038/ncomms14337 [PubMed]
14. Richter K, Haslbeck M, Buchner J. The heat shock response: life on the verge of death. Mol Cell. 2010; 40:253–66. https://doi.org/10.1016/j.molcel.2010.10.006 [PubMed]
15. Morimoto RI. The heat shock response: systems biology of proteotoxic stress in aging and disease. Cold Spring Harb Symp Quant Biol. 2011; 76:91–99. https://doi.org/10.1101/sqb.2012.76.010637 [PubMed]
16. Mortimer RK, Johnston JR. Life span of individual yeast cells. Nature. 1959; 183:1751–52. https://doi.org/10.1038/1831751a0 [PubMed]
17. Lin SJ, Defossez PA, Guarente L. Requirement of NAD and SIR2 for life-span extension by calorie restriction in Saccharomyces cerevisiae. Science. 2000; 289:2126–28. https://doi.org/10.1126/science.289.5487.2126 [PubMed]
18. Hill SM, Hao X, Liu B, Nyström T. Life-span extension by a metacaspase in the yeast Saccharomyces cerevisiae. Science. 2014; 344:1389–92. https://doi.org/10.1126/science.1252634 [PubMed]
19. Brauer MJ, Saldanha AJ, Dolinski K, Botstein D. Homeostatic adjustment and metabolic remodeling in glucose-limited yeast cultures. Mol Biol Cell. 2005; 16:2503–17. https://doi.org/10.1091/mbc.e04-11-0968 [PubMed]
20. Perić M, Lovrić A, Šarić A, Musa M, Bou Dib P, Rudan M, Nikolić A, Sobočanec S, Mikecin AM, Dennerlein S, Milošević I, Vlahoviček K, Raimundo N, Kriško A. TORC1-mediated sensing of chaperone activity alters glucose metabolism and extends lifespan. Aging Cell. 2017; 16:994–1005. https://doi.org/10.1111/acel.12623 [PubMed]
21. Buschlen S, Amillet JM, Guiard B, Fournier A, Marcireau C, Bolotin-Fukuhara M. The S. Cerevisiae HAP complex, a key regulator of mitochondrial function, coordinates nuclear and mitochondrial gene expression. Comp Funct Genomics. 2003; 4:37–46. https://doi.org/10.1002/cfg.254 [PubMed]
22. Lascaris R, Piwowarski J, van der Spek H, Teixeira de Mattos J, Grivell L, Blom J. Overexpression of HAP4 in glucose-derepressed yeast cells reveals respiratory control of glucose-regulated genes. Microbiology. 2004; 150:929–34. https://doi.org/10.1099/mic.0.26742-0 [PubMed]
23. Zaman S, Lippman SI, Schneper L, Slonim N, Broach JR. Glucose regulates transcription in yeast through a network of signaling pathways. Mol Syst Biol. 2009; 5:245. https://doi.org/10.1038/msb.2009.2 [PubMed]
24. Wang J, Jiang JC, Jazwinski SM. Gene regulatory changes in yeast during life extension by nutrient limitation. Exp Gerontol. 2010; 45:621–31. https://doi.org/10.1016/j.exger.2010.02.008 [PubMed]
25. Stincone A, Prigione A, Cramer T, Wamelink MM, Campbell K, Cheung E, Olin-Sandoval V, Grüning NM, Krüger A, Tauqeer Alam M, Keller MA, Breitenbach M, Brindle KM, et al. The return of metabolism: biochemistry and physiology of the pentose phosphate pathway. Biol Rev Camb Philos Soc. 2015; 90:927–63. https://doi.org/10.1111/brv.12140 [PubMed]
26. Gostimskaya I, Grant CM. Yeast mitochondrial glutathione is an essential antioxidant with mitochondrial thioredoxin providing a back-up system. Free Radic Biol Med. 2016; 94:55–65. https://doi.org/10.1016/j.freeradbiomed.2016.02.015 [PubMed]
27. Sugiyama K, Izawa S, Inoue Y. The Yap1p-dependent induction of glutathione synthesis in heat shock response of Saccharomyces cerevisiae. J Biol Chem. 2000; 275:15535–40. https://doi.org/10.1074/jbc.275.20.15535 [PubMed]
28. Pan Y, Shadel GS. Extension of chronological life span by reduced TOR signaling requires down-regulation of Sch9p and involves increased mitochondrial OXPHOS complex density. Aging (Albany NY). 2009; 1:131–45. https://doi.org/10.18632/aging.100016 [PubMed]
29. Beck T, Hall MN. The TOR signalling pathway controls nuclear localization of nutrient-regulated transcription factors. Nature. 1999; 402:689–92. https://doi.org/10.1038/45287 [PubMed]
30. Takahara T, Maeda T. Transient sequestration of TORC1 into stress granules during heat stress. Mol Cell. 2012; 47:242–52. https://doi.org/10.1016/j.molcel.2012.05.019 [PubMed]
31. Reinke A, Chen JC, Aronova S, Powers T. Caffeine targets TOR complex I and provides evidence for a regulatory link between the FRB and kinase domains of Tor1p. J Biol Chem. 2006; 281:31616–26. https://doi.org/10.1074/jbc.M603107200 [PubMed]
32. Sanchez Y, Taulien J, Borkovich KA, Lindquist S. Hsp104 is required for tolerance to many forms of stress. EMBO J. 1992; 11:2357–64. https://doi.org/10.1002/j.1460-2075.1992.tb05295.x [PubMed]
33. Shama S, Kirchman PA, Jiang JC, Jazwinski SM. Role of RAS2 in recovery from chronic stress: effect on yeast life span. Exp Cell Res. 1998; 245:368–78. https://doi.org/10.1006/excr.1998.4276 [PubMed]
34. Kaeberlein M, Powers RW3rd, Steffen KK, Westman EA, Hu D, Dang N, Kerr EO, Kirkland KT, Fields S, Kennedy BK. Regulation of yeast replicative life span by TOR and Sch9 in response to nutrients. Science. 2005; 310:1193–96. https://doi.org/10.1126/science.1115535 [PubMed]
35. Kaeberlein M, Burtner CR, Kennedy BK. Recent developments in yeast aging. PLoS Genet. 2007; 3:e84. https://doi.org/10.1371/journal.pgen.0030084 [PubMed]
36. Wei M, Fabrizio P, Hu J, Ge H, Cheng C, Li L, Longo VD. Life span extension by calorie restriction depends on Rim15 and transcription factors downstream of Ras/PKA, Tor, and Sch9. PLoS Genet. 2008; 4:e13. https://doi.org/10.1371/journal.pgen.0040013 [PubMed]
37. Wei M, Fabrizio P, Madia F, Hu J, Ge H, Li LM, Longo VD. Tor1/Sch9-regulated carbon source substitution is as effective as calorie restriction in life span extension. PLoS Genet. 2009; 5:e1000467. https://doi.org/10.1371/journal.pgen.1000467 [PubMed]
38. Fabrizio P, Liou LL, Moy VN, Diaspro A, Valentine JS, Gralla EB, Longo VD. SOD2 functions downstream of Sch9 to extend longevity in yeast. Genetics. 2003; 163:35–46. [PubMed]
39. Bonawitz ND, Chatenay-Lapointe M, Pan Y, Shadel GS. Reduced TOR signaling extends chronological life span via increased respiration and upregulation of mitochondrial gene expression. Cell Metab. 2007; 5:265–77. https://doi.org/10.1016/j.cmet.2007.02.009 [PubMed]
40. Pan Y, Schroeder EA, Ocampo A, Barrientos A, Shadel GS. Regulation of yeast chronological life span by TORC1 via adaptive mitochondrial ROS signaling. Cell Metab. 2011; 13:668–78. https://doi.org/10.1016/j.cmet.2011.03.018 [PubMed]
41. Schroeder EA, Raimundo N, Shadel GS. Epigenetic silencing mediates mitochondria stress-induced longevity. Cell Metab. 2013; 17:954–64. https://doi.org/10.1016/j.cmet.2013.04.003 [PubMed]
42. Fernandez-Fernandez S, Almeida A, Bolaños JP. Antioxidant and bioenergetic coupling between neurons and astrocytes. Biochem J. 2012; 443:3–11. https://doi.org/10.1042/BJ20111943 [PubMed]
43. Ralser M, Wamelink MM, Kowald A, Gerisch B, Heeren G, Struys EA, Klipp E, Jakobs C, Breitenbach M, Lehrach H, Krobitsch S. Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress. J Biol. 2007; 6:10. https://doi.org/10.1186/jbiol61 [PubMed]
44. Penninckx MJ. An overview on glutathione in Saccharomyces versus non-conventional yeasts. FEMS Yeast Res. 2002; 2:295–305. [PubMed]
45. Sugiyama K, Kawamura A, Izawa S, Inoue Y. Role of glutathione in heat-shock-induced cell death of Saccharomyces cerevisiae. Biochem J. 2000; 352:71–78. https://doi.org/10.1042/bj3520071 [PubMed]
46. Goldstein AL, McCusker JH. Three new dominant drug resistance cassettes for gene disruption in Saccharomyces cerevisiae. Yeast. 1999; 15:1541–53. https://doi.org/10.1002/(SICI)1097-0061(199910)15:14<1541::AID-YEA476>3.0.CO;2-K [PubMed]
47. Goldring ES, Grossman LI, Marmur J. Petite mutation in yeast. II. Isolation of mutants containing mitochondrial deoxyribonucleic acid of reduced size. J Bacteriol. 1971; 107:377–81. [PubMed]
48. Ellman GL. Tissue sulfhydryl groups. Arch Biochem Biophys. 1959; 82:70–77. https://doi.org/10.1016/0003-9861(59)90090-6 [PubMed]
49. Vowinckel J, Hartl J, Butler R, Ralser M. MitoLoc: A method for the simultaneous quantification of mitochondrial network morphology and membrane potential in single cells. Mitochondrion. 2015; 24:77–86. https://doi.org/10.1016/j.mito.2015.07.001 [PubMed]
50. Gietz RD, Schiestl RH. High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method. Nat Protoc. 2007; 2:31–34. https://doi.org/10.1038/nprot.2007.13 [PubMed]
51. Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007; 8:R19. https://doi.org/10.1186/gb-2007-8-2-r19 [PubMed]
52. Rosenbloom KR, Armstrong J, Barber GP, Casper J, Clawson H, Diekhans M, Dreszer TR, Fujita PA, Guruvadoo L, Haeussler M, Harte RA, Heitner S, Hickey G, et al. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res. 2015; 43:D670–81. https://doi.org/10.1093/nar/gku1177 [PubMed]
53. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013; 29:15–21. https://doi.org/10.1093/bioinformatics/bts635 [PubMed]
54. Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015; 31:166–69. https://doi.org/10.1093/bioinformatics/btu638 [PubMed]
55. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15:550. https://doi.org/10.1186/s13059-014-0550-8 [PubMed]
56. Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, et al. Orchestrating high-throughput genomic analysis with Bioconductor. Nat Methods. 2015; 12:115–21. https://doi.org/10.1038/nmeth.3252 [PubMed]

Research Paper Volume 10, Issue 9 pp 2407—2427

Heat-induced longevity in budding yeast requires respiratory metabolism and glutathione recycling

Marina Musa1, , Matea Perić1, , Peter Bou Dib2, , Sandra Sobočanec3, , Ana Šarić3, , Anita Lovrić1, , Marina Rudan1, , Andrea Nikolić1, , Ira Milosević4, , Kristian Vlahoviček5, , Nuno Raimundo2, , Anita Kriško1, ,

Received: May 24, 2018 Accepted: September 13, 2018 Published: September 17, 2018

Cite this Article

How to cite

Copy or Download citation:

Abstract

Introduction

Results

Mild transient heat shock causes metabolic reprogramming and lifespan extension

Increased respiration is required for RLS extension upon heat shock exposure

Increased mitochondrial superoxide levels during heat shock activate the pentose phosphate pathway

Increased glutathione levels are essential for the heat-induced lifespan extension

Replenishment of the GSH level during HS relies on Yap1p

TORC1 inactivation is necessary for heat shock-induced increase in respiration

Discussion

Materials and Methods

Strains and growth conditions

Replicative lifespan measurement

GSH extraction and measurement

Growth curves

Respiration measurement

Flow cytometry – ROS level measurements

NADP+/NADPH ratio measurement

Vacuole staining

Live cell imaging

Slide preparation

Tor1p localization analysis

Mitochondrial morphology

Statistical analysis

RNA extraction

Quantitative real-time PCR

RNA Sequencing

Sequence mapping

Read counting

Differential expression analysis

Supplementary Materials

Supplementary Figures

Table S1

Table S2

Acknowledgements

Conflicts of Interest

Funding

References

Corresponding Author

Keywords

Paper Sections

Marina Musa^1, , Matea Perić^1, , Peter Bou Dib^2, , Sandra Sobočanec^3, , Ana Šarić^3, , Anita Lovrić^1, , Marina Rudan^1, , Andrea Nikolić^1, , Ira Milosević^4, , Kristian Vlahoviček^5, , Nuno Raimundo^2, , Anita Kriško^1, ,

NADP⁺/NADPH ratio measurement