Transcriptional profiling of MnSOD-mediated lifespan extension in Drosophilareveals a species-general network of aging and metabolic genes
© Curtis et al.; licensee BioMed Central Ltd. 2007
Received: 23 July 2007
Accepted: 9 December 2007
Published: 09 December 2007
The Erratum to this article has been published in Genome Biology 2016 17:93
Several interventions increase lifespan in model organisms, including reduced insulin/insulin-like growth factor-like signaling (IIS), FOXO transcription factor activation, dietary restriction, and superoxide dismutase (SOD) over-expression. One question is whether these manipulations function through different mechanisms, or whether they intersect on common processes affecting aging.
A doxycycline-regulated system was used to over-express manganese-SOD (MnSOD) in adult Drosophila, yielding increases in mean and maximal lifespan of 20%. Increased lifespan resulted from lowered initial mortality rate and required MnSOD over-expression in the adult. Transcriptional profiling indicated that the expression of specific genes was altered by MnSOD in a manner opposite to their pattern during normal aging, revealing a set of candidate biomarkers of aging enriched for carbohydrate metabolism and electron transport genes and suggesting a true delay in physiological aging, rather than a novel phenotype. Strikingly, cross-dataset comparisons indicated that the pattern of gene expression caused by MnSOD was similar to that observed in long-lived Caenorhabditis elegans insulin-like signaling mutants and to the xenobiotic stress response, thus exposing potential conserved longevity promoting genes and implicating detoxification in Drosophila longevity.
The data suggest that MnSOD up-regulation and a retrograde signal of reactive oxygen species from the mitochondria normally function as an intermediate step in the extension of lifespan caused by reduced insulin-like signaling in various species. The results implicate a species-conserved net of coordinated genes that affect the rate of senescence by modulating energetic efficiency, purine biosynthesis, apoptotic pathways, endocrine signals, and the detoxification and excretion of metabolites.
Reactive oxygen species (ROS) such as superoxide, hydrogen peroxide, and hydroxyl radical are produced as byproducts of normal cellular metabolism. These ROS, especially hydrogen peroxide, are participants in cellular signaling pathways . In addition, ROS can damage macromolecules and this process is implicated in human aging and disease . Among the most important regulators of ROS levels are the superoxide dismutase (SOD) enzymes [3, 4]: Cu/ZnSOD in the cytoplasm and outer mitochondrial space, and MnSOD exclusively in the inner mitochondrial space. Superoxide is converted to hydrogen peroxide (H2O2) and O2 by SOD. Peroxiredoxins and abundant catalase enzyme then scavenge the hydrogen peroxide, converting it to molecular oxygen and water. In Drosophila, the correlation between oxidative stress and aging is well established as demonstrated by increased levels of 8-oxo-guanine and protein carbonyls with age [5, 6], and the induction of oxidative stress response genes [7–10]. Furthermore, Drosophila with mutated Cu/ZnSOD or MnSOD have a reduced lifespan [9, 11–13] whereas tissue-specific  or conditional [15, 16] over-expression of SOD enzymes can result in increased longevity.
Previously, the conditional transgenic system ('FLP-out') based on yeast FLP recombinase was used to induce the over-expression of MnSOD enzyme in adult Drosophila . With FLP-out, a brief heat pulse triggered the rearrangement and subsequent expression of a MnSOD transgene throughout the adult lifespan, and longevity was increased in proportion to the increase in MnSOD enzyme activity. Here, a doxycycline (DOX)-regulated promoter system ('tet-on')  was used to induce MnSOD, thereby eliminating the confounding effect of the heat pulse and allowing for more sensitive assays. The increased sensitivity of this system was exploited to assay the effects of moderate MnSOD over-expression on mortality rates, metabolic rates, stress-resistance, and global patterns of gene expression.
Decreased signaling through the insulin/insulin-like growth factor-like signaling (IIS) pathway results in lifespan extension in the nematode, Drosophila, and mouse [19–21]. In Drosophila and Caenorhabditis elegans, lifespan can be increased by the IIS-target transcription factor FOXO/DAF-16. Assay of the transcriptional response to reduced IIS signaling in C. elegans has identified genes that are up-regulated, including those encoding MnSOD (sod-3) , and heat shock proteins (hsp-16) [23, 24] as well as genes that are down-regulated, such as those encoding insulin-like peptides (ILPs; ins-7) and guanylyl cyclase (gcy-18) . Several of the genes thought to be regulated by DAF-16 have, in turn, been found to have effects on lifespan, such as the hsp genes, suggesting that they might mediate part of the lifespan extension resulting from reduced IIS signaling [23–26]. Lifespan extension via reduced IIS signaling in C. elegans requires autophagy pathway components  and interacts with the heat shock factor pathway to control protein aggregate clearance . Despite this progress in the identification and characterization of genes acting downstream of FOXO, the mechanism of lifespan extension by IIS has not yet been fully elucidated.
Previous genome-wide studies have identified genes that are up- and down-regulated during Drosophila aging , including tissue-specific patterns . Additionally, cross-species comparisons of genome-wide expression patterns during aging have been used to search for species-general and species-specific signatures of aging [31, 32]. Notably, the expression profiles of aging in C. elegans and D. melanogaster were found to show significant similarity (correlation = 0.18, p < 0.001) whereas a significant negative correlation was observed when the expression patterns of daf-2 IIS mutants were compared to those of Drosophila aging (correlation = -0.13, p << 0.001) . These results hint that similar mechanisms may mediate longevity in worms and flies, although few direct comparisons have been reported.
The data presented here demonstrate that manipulation of MnSOD expression alone is sufficient to increase lifespan through a mechanism that does not necessitate increased stress resistance, but likely involves altered metabolism. Transcriptional profiling identified candidate biomarkers of aging that consist of a set of carbohydrate metabolism and electron transport genes. Lifespan extension by MnSOD appears to proceed through a retrograde signal of increased hydrogen peroxide that involves an intricate network of genes that modulate energetic efficiency, purine biosynthesis, apoptotic pathways, endocrine signals, and the detoxification and excretion of metabolites. Cross-dataset comparisons revealed orthologous genes that are implicated in lifespan extension due to reduced IIS signaling in C. elegans. This implies that MnSOD up-regulation likely mediates part of the lifespan extension endowed by lowered IIS activity and identifies likely species-general effectors of longevity.
MnSOD transgene induction prolongs Drosophilalifespan by rapidly reducing mortality rate
MnSOD over-expression increases neither stress resistance nor oxidative stress
In Drosophila and other species the IIS pathway has been shown to negatively regulate both lifespan and stress resistance, but in certain instances these outputs can be uncoupled [19, 20, 37–40]. MnSOD over-expression yielded no increase in resistance to the stressors hydrogen peroxide, paraquat, 100% oxygen atmosphere, or desiccation (Figures S1-S3 and Table S3 in Additional data file 2). However, MnSOD over-expression resulted in significantly diminished (log-rank test, p << 0.001) thermotolerance with reductions in mean lifespan as large as -31% (basic bootstrap CI, -34% to -28%) for MnSOD(2)22 (Figure S4 and Tables S3-S4 in Additional data file 2).
Aconitase is an iron-sulfur cluster enzyme that is exquisitely sensitive to inactivation by oxidative stress , and its activity decreases during Drosophila aging (Figure 2a–c) . MnSOD over-expression did not result in a significant change in aconitase activity (Table S8 in Additional data file 2), indicating that it does not cause an increase in oxidative stress. Thus, lifespan extension by MnSOD does not appear to involve an oxidative-stress hormesis mechanism, although the possibility that diminished thermotolerance or other types of hormesis contribute to such an effect cannot be excluded.
MnSOD over-expression results in decreased metabolic rate
Reduced metabolic rates are associated with enhanced longevity in C. elegans dauer larvae as well as severe class II mutant IIS adults [42, 43]. To assay the effect of MnSOD over-expression on metabolic activity, CO2 production was measured weekly throughout the adult lifespan in progeny from lines MnSOD(2)22, 20, 12 and controls (Figure 3c). DOX had no effect on CO2 production in control flies (ANOVA, p = 0.29) (Figure S5 and Tables S4-S6 in Additional data file 2). However, a significant decrease in CO2 production was observed due to MnSOD over-expression (ANOVA, p < 0.01). Averaged over the total adult lifespan, DOX caused a change of -17% (basic bootstrap CI, -21% to -13%), -16% (basic bootstrap CI, -22% to -10%) and -16% (basic bootstrap CI, -21% to -12%) in lines MnSOD(2)22, MnSOD(2)20 and MnSOD(2)12, respectively. There were no detectable differences in respiratory quotient (Figures S5-S6 and Tables S5-S7 in Additional data file 2). MnSOD over-expression does not simply cause a general physiological impairment, however, as these flies exhibit normal or even increased total lifetime locomotor activity (C Brown, D Grover, N Hoe, D Ford, S Tavaré and J Tower, submitted).
MnSOD over-expression induces genome-wide transcriptional changes
Assuming that MnSOD simply extends lifespan and the normal time course of gene expression changes, genes that are differentially expressed between control and long-lived flies of the same chronological age should include both the targets of MnSOD as well as potential biomarkers of aging that scale with 'physiological age'. Here, biomarkers would represent genes that normally increase or decrease in expression during aging, but have had their time course delayed by approximately 20%. At the same 'physiological age', gene expression changes should include both the targets of MnSOD as well as any alterations that do not simply represent a delay in normal aging patterns, such as genes whose expression scales with chronological age. Genes whose expression is altered (in the same direction) at the same chronological age and the same 'physiological age' should represent the primary true targets of MnSOD.
Transcriptional profiling was used to determine the extent to which the data match or depart from this simple predicted pattern. In flies of the same chronological age, MnSOD over-expression caused the up-regulation of 656 genes, and the down-regulation of 642 genes, while at the same 'physiological age' MnSOD resulted in 858 and 1,471 genes being up- and down-regulated, respectively (Figure 4b and Additional data file 4). In line with the prediction that these genes include the true targets of MnSOD, none was found to have opposing patterns of expression between the two sampling time points, while 412 and 390 were up- or down-regulated in both cases. A number of genes were only differentially expressed at one of the time points assayed. For example, of the 656 and 642 genes up- and down-regulated at the same chronological age, 244 and 252, respectively, were not identified as differentially expressed at the same 'physiological age'. Such genes may consist of both potential biomarkers of aging as well as true MnSOD targets that are not detected at the later time point because they demonstrate complex time-dependent modes of regulation. Likewise, 446 and 1,081 genes were identified as up- and down-regulated, respectively, when flies were sampled at the same 'physiological age', but not at the same chronological age. These genes may represent aspects of normal aging that are not delayed by MnSOD as well as any targets of MnSOD that have delayed induction.
These genes were mapped onto the Gene Ontology (GO)  classification of molecular function, biological process, and cellular compartment as a means of assessing functional profiles. Statistically overrepresented functional categories were identified using GOstat [45, 46], which calculates a false discovery rate (FDR)-corrected p value based on a Chi-square test of whether the observed numbers of counts could have resulted from randomly distributing a particular GO term between the gene set of interest and the reference group. The statistical significance of the overlap between various gene sets was evaluated by computing the p value representing the probability of obtaining more than the observed number of overlaps by chance under a hypergeometric distribution, and was further assessed for several gene sets by Monte Carlo simulations.
Candidate aging biomarkers include carbohydrate metabolism and electron transport genes
The targets of MnSOD over-expression share features with normal aging patterns
Genes that are differentially expressed between control and long-lived flies at both time points should represent the true targets of MnSOD. Surprisingly, a significant number of these genes were found to exhibit a similar change in expression during normal aging, being up-regulated in both conditions (p << 0.001). Specifically, 52 genes exhibited this pattern and this list was enriched for genes involved in the defense response (p < 0.002), including those involved in the immune response (AttB, Rel, Im2, PGRP-SD, PGRP-LB, TepII), stress response (hsp90), and detoxification (GstE1, CG5224). Additionally, there was enrichment for genes involved in amino acid metabolism (p < 0.05) and aromatic compound metabolism (p < 0.001), such as purine (ade2, ade3, ade5, CG11089, CG66657), folate (pug, Nmdmc), and pyrimidine (CG8353, CG17224) metabolism genes. Ten other genes were found to be down-regulated in both conditions. Although long-lived MnSOD over-expressing flies did not demonstrate an oxidative-stress hormesis response, the fact that so many gene expression changes were common to normal aging and involved in organismal defense raises the possibility of a more general hormesis-like mechanism.
A significant number of genes altered between control and long-lived flies of the same 'physiological age', but not the same chronological age, were also found to share the same pattern of expression during normal aging and may represent aspects of normal aging that are not delayed by MnSOD (Figure 4b). The 46 genes up-regulated in this set (p << 0.001) included several immune response genes (AttA, Drs, Def, IM1), cytochrome P450s (Cyp6a9, Cyp6a13, Cyp28a5) as well as genes encoding the heat shock proteins Hsp26, Hsp68, and Hsp22. Increased hsp22 mRNA levels in response to MnSOD over-expression were also confirmed by Northern blot analysis (Figure 1). Amongst the 44 down-regulated genes (p = 0.70), many encode peptidases, including seven of the Jonah genes and the accessory gland-specific peptide genes Acp62F and Acp36DE. Genes altered in MnSOD over-expressing flies at the same 'physiological age' (but not chronological age) also included many (391 up-regulated and 1,034 down-regulated) that are not normally altered with age (Figure 4b). Interestingly, the up-regulated genes include ones implicated in longevity determination via the IIS pathway, such as the phosphoinositide 3-kinase (PI3K) genes Pi3K21B and Akt1, as well as Rheb, d4E-BP (Thor), and the Drosophila JNK homologue bsk . Also notable was the up-regulation of the gene encoding HMG coenzyme-A synthase, an enzyme implicated in juvenile hormone biosynthesis and recently linked to the IIS pathway . The gene encoding the ecdysone receptor (EcR) was down-regulated in MnSOD over-expressing flies relative to controls of the same 'physiological age' along with numerous other genes involved in endocrine activity, such as ecdysteroid hydroxylase (sad), ecdysone-induced genes (Eip74EF, Eig71Ec, Edg84A, ImpE1), insulin-like peptide-4 (Ilp4), and the neuropeptides (Nplp4, Nplp3). The Drosophila gene sarah (CG6072) was also up-regulated in long-lived versus control flies of the same 'physiological age' and is related to the human RCAN gene, which is induced in response to hydrogen peroxide and, in turn, regulates calcinuerin and oxidative stress resistance . Also included amongst this gene set were genes encoding 14 odorant receptors, 5 gustatory receptors, and 3 odorant binding proteins, and 2 additional genes encoding proteins containing an odorant binding protein domain (IPR004272). That so many genes of this class were down-regulated is particularly intriguing since olfaction has been shown to negatively regulate lifespan [50, 51]. A subset of these genes was also found to be down-regulated in experimental versus control flies of the same chronological age. It is possible that certain genes were not detected at the earlier time point because they display complex patterns of expression over time that could involve delayed induction (repression) and responses to other signals that cannot be explained by two time points. Additional data file 6 gives the categorization of the gene expression differences between MnSOD over-expressing flies and controls sampled at the same 'physiological age' into these gene sets.
MnSOD likely mediates gene expression changes via a retrograde signal to the nucleus
MnSOD over-expression alters the expression patterns of genes belonging to a variety of functional classes. The most likely means by which MnSOD effects gene expression changes is via a retrograde signal to the nucleus that is mediated by hydrogen peroxide . Hydrogen peroxide is the most stable and diffusible ROS signaling molecule and has been shown to activate various signaling cascades in mammalian cells, including c-Jun-N-terminal kinase (JNK) , mitogen-activated protein kinase (MAPK) [54, 55], and nuclear factor kappa B (NF-κB) .
Another notable class of genes altered by MnSOD at both time points consisted of those encoding the antioxidants thioredoxin (TrxT), peroxidase (CG8913, Jafrac1), and multiple glutathione-S-transferases (GSTs; GstE1, CG5224, CG1681), each of which were up-regulated. The expression of numerous carbohydrate metabolism genes was up-regulated, including those encoding enzymes involved in both glycolysis and gluconogenesis, such as fructose-1,6-bisphosphatase (fbp), glycerol kinase (Gyk), lactate dehydrogenase (Imp-L3), and phosphoglucose isomerase (Pgi). Gene expression changes associated with lipid metabolism and ubiquitin mediated proteolysis were also altered. Additionally, an abundance of genes involved in purine and folate biosynthesis (ATP-synβ, ade2, ade3, ade5, CG3011, CG11089, CG17273, pug, Nmdmc) were up-regulated, as were components of the electron transport chain, such as the cytochrome P450s (Cyp12d1-d, Cyp312a1, Cyp309a2, Cyp4p1 Cyp6d5). Strikingly, Cyp6d5 has been reported to interact with VhaSFD , a vacuolar (V-type) H+-ATPase subunit previously implicated as a positive regulator of Drosophila lifespan . Although the expression of this particular gene was not altered, that of Vha100-1, encoding another subunit of the V-type ATPase, was increased. The gene eIF-4E, encoding the eukaryotic translation initiation factor mRNA 5'cap-binding protein that functions to regulate cell growth, protein biosynthesis, and autophagic cell death  downstream of the TOR nutrient sensing pathway [60, 61], was also up-regulated. Autophagy genes have previously been shown to be essential for IIS mutant lifespan extension and dauer development in C. elegans [27, 62]. Up-regulation of several additional autophagy pathway component genes (Atg8, Atg18, Cp1, l(2)01424, AGO2, eRF1, Rab7, Ect3, CecB, CG12163, CG10992) correlated with lifespan extension by MnSOD. The expression of several genes implicated in circadian rhythm was altered by MnSOD; for example, reg-5 was up-regulated while dunce and disco were down-regulated. Other gene classes down-regulated by MnSOD included those that encode the transmembrane receptors Notch and frizzled, numerous peptidases, and 28 transcription factors, including eve, gsb, and otp. As mentioned above, a subset of olfactory and sensory perception genes was down-regulated at both time points, and this included genes encoding four odorant receptors (Or46a, Or9a, Or22b, Or94b), an odorant binding protein (Obp85a), and two gustatory receptors (Gr21a, Gr57a).
MnSOD-regulated genes are enriched for hydrogen peroxide response elements
Up (mean no. of sites)
P value Up
4.10 × 10-10 *
6.00 × 10-5 *
3.12 × 10-4†
2.18 × 10-6 *
1.00 × 10-16 *
P value Up
4.10 × 10-10 *
6.00 × 10-5 *
3.12 × 10-4†
2.18 × 10-6 *
1.00 × 10-16 *
Dn (mean no. of sites)
P value Dn
Cross-species, cross-condition comparisons reveal shared longevity gene-expression signatures
Xenobiotic detoxification gene expression correlates with Drosophilalongevity
Prompted by the finding that HR96 is up-regulated by Drosophila MnSOD (Figures 7 and 8) and given its known role in the xenobiotic stress response, this relationship was investigated in greater detail. The data presented here were compared to those of King-Jones et al. , who examined the transcriptional response of Canton S (CanS) wild-type flies to phenobarbital (PB) and compared this response to those of PB-treated HR96 mutants using Affymetrix Drosophila2 arrays. Their analysis revealed 503 up-regulated and 484 down-regulated genes, respectively, in PB-treated CanS wild-type versus untreated flies. Of these genes, 102 were also differentially expressed between PB-treated CanS wild-type flies and PB-treated Hr96 mutants. Differences in the design of the Affymetrix DrosGenome1 arrays (used here) and the Drosophila2 arrays were accounted for by considering only those 8,636 genes that are designated 'good matches' by the manufacturer. In this way it was found that a significant portion of MnSOD up-regulated genes (59 out of 411, or 14.36%) are also involved in the Drosophila response to the xenobiotic PB (p << 0.001; Additional data file 5). These genes include those encoding numerous detoxification enzymes, such as the P450s and GSTs, and PHGPx, as well as the gene encoding the juvenile hormone inducible protein JhI-26 (Additional data file 8). This list also includes folate metabolism genes and purine biosynthesis pathway components, including several conserved longevity-associated genes, such as ade3, ade5, CG11089, CG14935, and Anxb11, thus implicating detoxification in Drosophila longevity determination.
Here, over-expression of MnSOD in adult flies using the DOX-regulated system was found to increase mean and maximal lifespan by 20%, while over-expression during development had no detectable effect on subsequent adult life span. It should be noted that the lifespan of the controls used here (mean lifespan approximately 73 days at 25°C; Table S1C in Additional data file 2) compares favorably to the extended mutant lifespans reported for InR (60 days), JNK pathway (65 days), chico (65 days), dTOR (72 days) and Methuselah (77 days) [4, 20, 38, 77]. Therefore, it is unlikely that MnSOD over-expression rescues some defect specific to the strains used. Preliminary data suggest that there is a limit to the amount of lifespan extension that can be achieved by over-expression of MnSOD alone: MnSOD transcript levels have been further increased by combining two MnSOD transgenic target constructs and/or by using a more active rtTA transactivator line , although this has so far yielded negative effects on lifespan . Greater increases in life span (+40%) have been achieved by combining MnSOD with other lifespan-extending genes, such as Cu/ZnSOD .
Surprisingly, our studies reveal that MnSOD over-expression neither resulted in increased resistance to oxidative stress nor did it cause increased oxidative stress, and these long-lived flies exhibited diminished resistance to heat. The findings dispel the hypothesis that lifespan extension by over-expression of the antioxidant MnSOD proceeds through a mechanism that necessitates increased stress resistance. Long-lived MnSOD over-expressing flies were characterized by reduced metabolic rates as measured by CO2 production, but it is interesting to note that the decrease in mortality rate appeared to precede the decrease in CO2 production. It has been suggested  that longevity can be uncoupled from reduced metabolism, since O2 consumption was not detectably changed in long-lived InR mutant flies . However, these assays were performed at a young time point rather than across lifespan. Furthermore, CO2 measurements are a more precise measure of metabolic rate than those of O2 consumption and so were employed in this study. Here, they indicate that metabolic rates were decreased in long-lived MnSOD over-expressing flies whereas a previous study that instead considered O2 consumption did not detect a difference . In accordance with the measured alterations in CO2 production, energy metabolism genes were over-represented amongst those induced by MnSOD over-expression. This may also reflect increased requirements for energy costly processes such as endobiotic and xenobiotic detoxification or cellular maintenance that might contribute to longevity.
It is interesting to note that a subset of the genes whose expression was altered by MnSOD tended to be changed in the opposite direction by DOX alone. One conceivable explanation for this observation might be that MnSOD over-expression reduces DOX uptake or effective concentration in the flies, thereby reducing the effects of DOX on gene expression. However, since the gene expression changes due to DOX were most often smaller than those due to MnSOD, this is unlikely. Moreover, DOX-regulated expression of a LacZ reporter construct was not altered by coincident over-expression of MnSOD to a greater extent than an unrelated control transgene, suggesting that MnSOD does not affect DOX uptake (Additional data file 1, and Figure S8 in Additional data file 2). A more likely explanation for the negative correlation observed between DOX-regulated and MnSOD-regulated genes is that DOX causes a slight down-regulation of MnSOD as well as two putative Cu/Zn SOD encoding enzymes, CG9027 and Sh3β/CG8582. Another plausible contributing factor is the mild inhibitory effect of tetracyclines and their analogs on mitochondrial translation and proliferation [79, 80], since MnSOD causes alterations in mitochondria-related genes. Despite knowledge of this small effect for over two-decades, DOX-regulated systems have still been successfully employed to study mitochondrial function in detail, including mitochondrial translation [81, 82]. Thus, the combined effect of a slight reduction in MnSOD and two other Cu/Zn superoxide-dismutase encoding genes along with a decrease in mitochondrial translation can readily account for the negative correlation observed between DOX-regulated and MnSOD-regulated genes.
Candidate aging biomarkers include carbohydrate metabolism and electron transport genes
Based upon their opposing expression pattern between control and long-lived flies of the same chronological age and that of normal aging, a set of 24 potential aging biomarkers was identified and found to consist primarily of highly regulated carbohydrate and energy metabolism genes (Figure 5). In the future, it may be possible to validate such biomarkers by examining their longitudinal expression profiles and ability to predict remaining lifespan in individual flies [10, 83].
Of these potential biomarkers, CG9140 and CoVa are expected to participate in electron transport. This is interesting in light of the finding that electron transport chain genes are consistently diminished with age in flies, mice, and humans (but not worms) , suggesting that diminished expression of the electron transport pathway with age may be an important marker of 'physiological age' and supporting our findings. Three of the potential biomarkers are expected to function in nucleotide binding (CG9920, betaTub85D, CG5075), and two in nucleobase metabolism (CG7804, CG5075). CG9220 encodes a glucuronosyltransferase and, based on sequence similarity, may participate in protein folding, betaTub85D functions in microtuble-based movement, and CG5075 encodes a hydrogen-exporting ATPase. In addition, four genes comprising key regulatory components of the glycolytic pathway were represented amongst this class of potential biomarkers, including pyruvate kinase (CG12229) and fructose-bisphosphate aldolase (delilah) as well as genes that act in peripheral pathways, such as those encoding trehalose-phosphatase (CG5177) and L-iditol 2-dehydrogenase (CG4836). Trehalose-phosphatase catalyzes the de-phosphorylation of trehalose-6-phosphate to trehalose and orthophosphate. In insects, trehalose and glucose are the only circulating sugars found in the hemolymph. While glucose is obtained from the diet, trehalose is a key homeostatic molecule that derives from the fat body and is involved in sugar transport to peripheral tissues and energy storage . This non-reducing sugar is thought to increase desiccation tolerance by preventing protein aggregation, and trehalose phosphate synthase protects Drosophila during anoxia [86, 87]. Previously, the reduced thermotolerance of long-lived median neurosecretory-cells (mNSC)-ablated flies was attributed to lowered circulating trehalose concentrations in the hemolymph . These flies exhibited an altered pattern of circulating carbohydrates, having reduced circulating trehalose (approximately 15%), increased circulating glucose (100%), and increased whole body energy stores of trehalose, glycogen, and lipids . Additionally, both male and female InR mutants have been shown to be hyper-trehalosemic . These results are in line with the finding that lifespan extension by MnSOD is characterized by diminished thermotolerance, alterations in carbohydrate metabolism gene expression, and the up-regulation of trehalose phosphatase. Furthermore, they corroborate the observation that specific carbohydrate metabolism genes are potential biomarkers of aging. Trehalose has previously been touted as a longevity-assurance sugar in C. elegans based upon the increased expression of trehalose phosphate synthase in daf-2 mutants and increased levels of trehalose in dauer larvae and IIS age-1 (hx546) mutants [89–91].
The targets of MnSOD over-expression share features with normal aging patterns
An intriguing finding is that a significant number of genes (52) up-regulated by MnSOD at both time points are also up-regulated during normal aging and this list is enriched for genes involved in the defense response, such as immune response genes (AttB, Rel, Im2, PGRP-SD, PGRP-LB, TepII), heat shock proteins (Hsp90), GSTs (GstE1, CG5224), and peroxidase (CG8913). Enrichment for heterocyclic-compounds and amino acid metabolism was also found. Notably, several of the genes in this set (ade3, ade5, CG11089, Ect3, Anxb11, CG14935) were also identified as species-conserved, longevity-associated genes (Figure 7). These findings suggest that MnSOD may partially mediate lifespan extension by effecting a species-general, non oxidative-stress, hormesis response.
MnSOD over-expression causes reduced expression of genes that negatively regulate lifespan
Endocrine signals have been demonstrated to regulate life cycles and affect aging in all higher organisms . Both juvenile hormone and 20-hydroxyecdysone are decreased in IIS mutants . Additionally, EcR mutant heterozygotes are long-lived . This suggests that, in Drosophila, reduced IIS activity may extend lifespan, in part, by diminishing signaling through juvenile hormone and ecdysone. It is interesting, therefore, that the gene encoding the EcR was down-regulated in MnSOD over-expressing flies relative to controls of the same 'physiological age' along with numerous other genes involved in endocrine activity, such as ecdysteroid hydroxylase (sad), ecdysone-induced genes (Eip74EF, Eig71Ec, Edg84A, ImpE1), insulin-like peptide-4 (Ilp4), and the neuropeptides (Nplp4, Nplp3). Since MnSOD may be a downstream effector of FOXO in flies, this suggests that lifespan extension in IIS mutants may involve a MnSOD-mediated reduction in signaling through the EcR.
The finding that numerous genes involved in olfaction and gustation are down-regulated by MnSOD is also intriguing. Olfactory and gustatory neurons are known to negatively regulate lifespan in C. elegans [50, 51], and it was recently shown that in Drosophila, exposure to nutrient-derived odors reduces lifespan extension caused by dietary restriction . Furthermore, mutation in the Drosophila Or83b receptor resulted in defective olfaction, altered metabolism, increased stress resistance, and lifespan extension .
Cross-species, cross-condition comparisons reveal shared longevity gene-expression signatures
The gene expression profiles in Drosophila upon MnSOD over-expression were compared to the expression profiles that result from long-lived C. elegans daf-2 insulin receptor (InR)-like mutants and dauer larvae [74, 75]. Strikingly, this comparison revealed numerous genes with similar expression patterns that are conserved between the worm and fly and likely represent longevity promoting genes (Figure 7, Additional data file 7). This is in contrast to a recent study  that identified conservation only at the process level, but not the gene level. Amongst the genes identified are those involved in the purine biosynthetic pathway, programmed cell death, intracellular protein transport, ribosome biogenesis, insulin signaling, and hormone secretion. Of particular interest is the finding that an energy sensing AMP-activated protein kinase (CG8057) and the nuclear hormone receptor HR96, a xenobiotic stress sensor, are up-regulated by MnSOD. Gene expression profiling of individual nematodes identified the AMP-activated protein kinase (AMPK) beta subunit as a gene that differentiates wild-type and daf-2 mutants with respect to age . Recently, over-expression of the AMPK alpha subunit, aak-2, in C. elegans was shown to increase longevity, and lifespan extension by mutation of daf-2 or sir-2.1 over-expression was found to be dependent on aak-1. It is notable, therefore, that, in Drosophila, CG8057, which encodes an AMPK, is up-regulated by MnSOD over-expression as well as reduced IIS signaling, and concomitantly down-regulated upon yeast re-feeding after dietary restriction . Thus, the profiles observed in response to lifespan altering interventions in Drosophila support the view that as in C. elegans, AMPK coordinates metabolism at an organismal level by integrating positive and negative cues to maintain cellular ATP levels . In C. elegans, the HR96 homologue, DAF-12, acts at the intersection of pathways that regulate larval diapause, development, stress responses, and adult longevity [99, 100]. While a similar role for HR96 in mediating Drosophila longevity has not been previously reported, we find further support for this connection by demonstrating that a significant portion of genes regulated by MnSOD are also similarly altered in response to xenobiotic stress induced by phenobarbital. This finding is of particular interest since McElwee and colleagues [74, 75] have previously reported that the phase I and phase II class of enzymes involved in xenobiotic detoxification are shared between C. elegans dauers and daf-2 mutants. Several of the species-conserved, potential longevity promoting genes are described in further detail in Additional data file 10.
MnSOD-regulated targets downstream of dFOXO
The cross-species, cross-condition comparison described above was aimed at identifying genes and processes that broadly mediate lifespan and, hence, are robust signatures of longevity mechanisms. However, certain downstream targets of dFOXO may have been missed by a comparison of stringent orthologs. In order to identify species specific MnSOD-regulated targets that act downstream of dFOXO as well as potential lifespan promoting mechanisms that might be unique to Drosophila, the transcriptional profile of MnSOD over-expression was compared to those resulting from altered insulin signaling in Drosophila. These comparisons are described in Additional data file 10.
MnSOD-mediated mitochondria to nucleus signaling and crosstalk with the IIS pathway
Taken together with results from C. elegans, the data suggest a model in which MnSOD is a direct transcriptional target of the FOXO transcription factor and MnSOD catalyzed detoxification of superoxide results in increased intracellular hydrogen peroxide levels that mediate numerous signaling events. Based on kinetic arguments, it has been suggested that it is unlikely that over-expression of MnSOD could significantly increase cellular hydrogen peroxide levels . One way to reconcile these observations is to suggest a localized region of hydrogen peroxide increase such as might be afforded by physical proximity between the mitochondria and nucleus . Although it is not possible to rule out decreased superoxide as the retrograde signal at this time, that hydrogen peroxide is the relevant signal is supported by previous studies demonstrating that catalase over-expression on its own, in combination with Cu/ZnSOD  or MnSOD , has neutral or slightly negative effects on lifespan. Additionally, previous studies in cultured mammalian cells suggest that MnSOD-mediated growth suppression is due to elevated hydrogen peroxide levels resulting in oxidative environments in the mitochondria and subsequently in the cytoplasm . It is also of interest to note that hydrogen peroxide and the antifungal para-hydroxymethyl-benzoic acid are reported to favor survival of flies restricted to a sugar only diet .
In further support of a hydrogen peroxide signal, there is a highly significant overlap in the genes altered by MnSOD over-expression and those altered upon direct stimulation with 3% hydrogen peroxide (C Curtis, G Landis, D Skvortsov, D Abdueva, K Tozer, J Tower and S Tavaré, in preparation). Specifically, 312 (p value < 4.0 × 10-42) and 260 (p value < 4.3 × 10-43) genes were also up-regulated upon hydrogen peroxide treatment as well as in MnSOD over-expressing flies of the same physiological and chronological age, respectively. A significant overlap was also found for genes down-regulated by hydrogen peroxide and down-regulated upon MnSOD over-expression in flies of the same physiological (216; p value < 0.003) and chronological (103; p value < 0.003) age, respectively, although to a lesser extent than genes up-regulated in both conditions.
The comparison of MnSOD-regulated gene expression changes to daf-16 dependent changes in IIS mutants suggests that MnSOD modulates the expression of numerous genes downstream of FOXO. It is interesting to note, therefore, that some of these targets contain both hydrogen peroxide responsive cis-regulatory elements, such as the HRE and ARE, as well as DAF-16 related elements, such as the canonical DBE and the DAE. This raises the possibility that such targets might be regulated both by MnSOD, through hydrogen peroxide signaling, and FOXO (Additional data file 9). Other genes that lack both the DBE and DAE might be indirect effectors of FOXO that are regulated by MnSOD.
Other pathways involved in nutrient sensing have also been shown to crosstalk with the mitochondria through feedback mechanisms. For example, TOR is implicated in regulating the balance between glycolysis and mitochondrial metabolism, although the molecular basis has yet to be elucidated [111, 112]. Additionally, oxidative capacity correlates with TOR-raptor complex stability , suggesting that a retrograde signal from the mitochondria influences TOR activity. It is possible that hydrogen peroxide signaling participates in this mechanism.
A surprising aspect of the data is that a single, albeit important, enzyme can have a profound effect on the organism's longevity, metabolic rate, and gene expression. MnSOD likely mediates some of these beneficial changes in nuclear gene expression by a retrograde signal of increased hydrogen peroxide. Lifespan extension by MnSOD appears to proceed through a regulatory response that involves an intricate network of genes, orthologs of which are implicated in lifespan extension from reduced IIS activity in C. elegans. This implies that part of lifespan regulation by IIS normally proceeds through MnSOD, and identifies likely species-general effectors of longevity.
Materials and methods
PCR products (MnSOD-1, MnSOD-2) were obtained using a pBlue Script vector containing the MnSOD cDNA as a template . MnSOD-1 was generated using primers Mn1F (5'GTCGAATAAAACGCAGATATGTTCG-3') and Mn1R (5'-CCATGGTTAAATAATCGGCGTTGAA-3'). MnSOD-2 was generated using primers MnSOD2F (5'-TGCAGTCGAATAAAACGCAGATATGTTCG-3') and MnSOD2R (5'-TTAACCATGGTTAAATAATCGGCGTTGAA-3'). Both products were generated using pfu DNA polymerase (Stratagene, San Diego, CA, USA). Products MnSOD-1 and MnSOD-2 were boiled for 10 minutes at 95°C and cooled to room temperature to generate a reannealed MnSOD gene with a PstI site engineered at the 5' end and an EcoRI site at the 3' end. This fragment was cloned into the PstI and EcoRI sites of USC1.0  to generate the construct USC1.0-MnSOD.
P element mediated transformation
Five independent germ-line transformants of the USC1.0-MnSOD construct (MnSOD(2)4, MnSOD(2)12, MnSOD(2)20, MnSOD(2)22 and MnSOD(2)38) were generated using standard methods , using the y-ac-w1118 recipient strain . Southern analysis indicated the presence of single inserts for all lines.
Drosophilaculture and lifespan assays
Drosophila were cultured on standard agar/molasses/corn meal/yeast media . Where indicated, flies were cultured on food supplemented to a final concentration of 240 μg/ml DOX and 64 μg/ml ampicillin, while control vials were adjusted 64 μg/ml ampicillin alone. To obtain adult flies, the Oregon R control strain (provided by the Bloomington Drosophila stock center) and MnSOD transgenic lines (MnSOD(2)4, MnSOD(2)12, MnSOD(2)20, MnSOD(2)22, MnSOD(2)38) were crossed to the rtTA(3)E2 transactivator line , cultured at 25°C in urine specimen bottles, and the hybrid adult male progeny resulting from these crosses were used in all experiments. Prior to eclosion of the majority of pupae, bottles were cleared of adults and newly eclosed flies were allowed to emerge over the next 48 hours. The majority of the males will have mated during this time. The males only were then removed and were designated one day old, and were maintained at 25°C at 40 flies per vial in culture vials with food. All flies were transferred every other day into fresh media unless otherwise indicated. At 4 days of age the males were split into control and experimental groups of 200 males each, with the experimental group (+DOX) placed on culture media supplemented with 240 μg/ml DOX. The number of dead flies was counted at each passage, and the number of vials was progressively reduced to maintain approximately 40 flies per vial. To calculate the mean lifespan for the experimental (+DOX) and control (-DOX) cohorts, each fly's lifespan was tabulated, the data averaged, and the mean, median and standard deviation were calculated.
Flies were cultured on plus and minus DOX for one week. RNA was isolated from male adult Drosophila using the RNAqueous kit (Ambion, Austin, TX, USA), fractionated on 1.0% agarose gels and transferred to GeneScreen membranes (PerkinElmer, Waltham, MA, USA). 1X = 5 mg, and 2X = 10 mg. The PCR product MnSOD-1 was used as a specific probe for the MnSOD gene. The probe for the hsp22 gene was generated from a genomic subclone. The loading control was Rp49, which encodes a ribosomal protein . DNA probes were 32P-labelled using the Prime-It II DNA labeling kit (Stratagene). Hybridization was carried out in Church-Gilbert solution at 65°C overnight. Hybridization signals were visualized and quantified using the phospho-imager and ImageQuant software (Molecular Dynamics, Sunnyvale, CA, USA). Transcript size was determined by comparison with 1 Kb RNA ladder (Gibco-BRL, Gaithersburg, MD, USA) according to the manufacturer's instructions.
Relative RNA levels and the fold induction of transcripts were estimated from Northern blot data as follows: a box was drawn around the band for each gene transcript and intensity measured in arbitrary units using the Phosphoimager and ImageQuant. An equal size box was drawn around a region of the lane containing no bands and that value was subtracted as background. Rp49 loading control was quantified in the same way for each lane. Each Rp49 intensity value was divided by the median Rp49 intensity value to generate a loading correction factor for each lane. A normalized intensity value for each gene transcript was then calculated by multiplying by the Rp49 correction factor for that lane. This quantification was done twice for each phospho-image. The 1X and 2X Northern lanes for each RNA sample were quantified and the numbers were averaged. The resulting relative expression levels are presented in arbitrary units ± standard deviation.
MnSOD(2)4 -DOX = 8,194,986 ± 282,073, +DOX = 105,246,261 ± 4,133,376, fold induction approximately 13. MnSOD(2)12 -DOX = 9,130,631 ± 509,194, +DOX = 118,636,517 ± 4,449,685, fold induction approximately 13. MnSOD(2)20 -DOX = 9,786,260 ± 612,061, +DOX = 135,629,576 ± 18,497,585, fold induction approximately 14. MnSOD(2)22 -DOX = 14,089,283 ± 1,569,894, +DOX = 210,419,748 ± 2,779,774, fold induction approximately 15. MnSOD(2)38 -DOX = 10,211,365 ± 1,113,851, +DOX = 57,845,424 ± 2,076,761, fold induction approximately 6.
MnSOD(2)4 -DOX = 2,077,692 ± 33,078, +DOX = 5,122,305 ± 576,188, fold induction approximately 2.5. MnSOD(2)12 -DOX = 2,565,603 ± 274,446, +DOX = 5,256,513 ± 91,162, fold induction approximately 2.0. MnSOD(2)20 -DOX = 3,479,575 ± 346,431, +DOX = 5,679,243 ± 710,345, fold induction approximately 1.6. MnSOD(2)22 -DOX = 4,684,510 ± 14,391, +DOX = 9,017,229 ± 1,220, fold induction approximately 1.9. MnSOD(2)38 -DOX = 2,528,625 ± 100,005, +DOX = 2,288,297 ± 279,032, fold induction approximately 0.9.
Statistical analysis of the effect of DOX-induced MnSOD over-expression on lifespan, stress resistance, desiccation, metabolism, and aconitase levels
Additional data file 1 includes a complete description of the analyses performed and Additional data file 2 includes the results.
Assaying the effect of MnSOD over-expression during development and adulthood
MnSOD males of the indicated lines were mated to rtTA(3)E2 virgins and their progeny allowed to develop in bottles containing food plus and minus DOX. At eclosion, age-synchronized cohorts of MnSOD/rtTA(3)E2 males were transferred to vials containing five flies each. Both the progeny from the -DOX and +DOX bottles were split into two groups, one in +DOX vials, and one in -DOX vials, resulting in four sets of lifespan assays of 100 males each: +DOX in adulthood only, +DOX in development only, +DOX throughout lifespan, and no DOX. The plus DOX vials and bottles included 240 μg/ml DOX. The flies were transferred into fresh vials every other day and survival was determined by counting the number of dead flies in each vial. A description of the statistical analyses performed is presented in Additional data file 1 and the results are shown in Tables S1-S4 in Additional data file 2.
Statistical analysis of the effect of MnSOD on lifespan
The effect of DOX treatment during adulthood on mean and maximal lifespan were assessed using log-rank and Chi-squared tests, respectively (Tables S1-S3 in Additional data file 2). The effect of MnSOD over-expression on the mean, median, and the 90th percentile of lifespan was further examined by employing a bootstrap resampling scheme  to construct 95% confidence intervals for the ratio of the means and for the ratio of percentiles of the control and treatment populations [35, 120]. Such robust methods have been shown to provide confidence intervals with coverage much closer to the nominal value than classical methods in certain instances. For the ratio of percentiles, where no simple variance estimator is known, a double-bootstrap approach was taken to estimate the variance. For each bootstrap sample (B1), an additional bootstrap sample (B2) was employed to compute estimates of û**, the sample variance of which is the bootstrap estimate of the variance of û*. For the ratio of means, four different types of equi-tailed, two-sided nonparametric confidence intervals were constructed: the normal approximation, bootstrap-t interval, the basic bootstrap interval, and the double bootstrap interval. For the ratio of percentiles, the basic bootstrap interval and the double bootstrap interval were computed. In all cases, B1 = 5,000, B2 = 1,000, and α = 0.05. Results are shown in Table S4 in Additional data file 2.
Hydrogen peroxide survival assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food for one week. They were then transferred to vials containing tissue (Kimwipes) saturated with 0%, 2.5%, and 5% hydrogen peroxide in a 1% sucrose solution. The +DOX vials included 240 μg/ml DOX. The flies were transferred into fresh vials each day, and survival was determined by counting the number of dead flies in each vial.
Paraquat survival assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food for one week. They were then transferred to vials containing tissue saturated with 20 mM paraquat in a 1% sucrose solution. Paraquat solutions were made fresh for each experiment, as this was found to be necessary for reproducible results. The +DOX vials included 240 μg/ml DOX. The flies were transferred into fresh vials each day, and survival was determined by counting the number of dead flies in each vial.
100% Oxygen survival assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food for one week. They were then placed in an enclosed chamber with 100% oxygen gas flow , transferred into fresh vials each day, and survival was determined by counting the number of dead flies in each vial.
Thermal stress survival assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food for one week. They were then placed in an incubator at 34°C, transferred onto fresh food each day, and survival was determined by counting the number of dead flies in each vial.
Desiccation resistance assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food for one week, after which the flies were briefly anesthetized with CO2 and transferred to an empty 8-dram glass vial. A foam stopper was placed approximately 3 cm down into the vial and approximately 4.5 g of Drierite was placed on top of the stopper. The open end of the vial was then sealed with Parafilm. The flies were checked hourly for mortality, which was characterized by the inability of the flies to resume an upright position after the vial was shaken. Desiccation resistance was expressed as survival time (hours) and was estimated for 50 flies (10 vials, each containing 5 flies) from each treatment group.
Oxygen consumption and carbon dioxide production assay
Age synchronized cohorts of adult male flies were cultured on plus and minus DOX food and transferred to fresh vials every other day. The rate of CO2 emission was used to determine the metabolic rate of the flies and was measured using flow-through respirometry. The CO2 emission of 6 groups of flies (14-21 individuals per group) from each treatment was measured once a week for 8 weeks. During the respirometry assays, room air was pumped through three silica gel columns plus one Drierite/Ascarite/Drierite column to remove water vapor and CO2. The water and CO2-free air then flowed through six respirometer chambers containing the flies, as well as an empty control chamber, and subsequently to the CO2 analyzer. Air flow through the respirometry chambers was regulated by a system of computer-controlled valves (Sable Systems, Henderson, NV, USA), which allowed each of the six groups of flies to be measured sequentially. The volume of the respirometry chambers was 12 ml, and the rate of air flow through the chambers was 20 ml/minute. The rate of CO2 emission of each fly group was measured for 15 minutes weekly using a Sable Systems Licor LI-6251 infrared CO2 analysis system. The room temperature was maintained at 25 ± 1°C. The CO2 levels (ppm) were averaged and recorded once/second using Sable Systems data acquisition software. To ensure that the CO2 recordings had reached steady-state levels, only data from the last 5-7 minutes of the measurements were used in the data analyses. Oxygen concentrations (Pa) in the outflowing air were measured using an Oxilla (Sable Systems) differential oxygen analyzer. The respiratory quotient of the control and experimental flies was compared at every time interval and not found to be statistically significantly different. We therefore used the CO2 measurements to describe the metabolic rate since these measurements are more precise than those of oxygen consumption.
Aconitase enzyme assay
The effect of MnSOD over-expression on aconitatse activity was examined in age-synchronized cohorts of male progeny from the following lines: Control, MnSOD(2)12, and MnSOD(2)20. Cohorts were cultured on plus and minus DOX food and passaged to fresh vials every other day. On days 7, 21, 35, 49 and 63, triplicate samples of 5 male flies from each of 6 conditions (3 genotypes +/- DOX) were frozen at -72°C. Aconitase was measured on fresh fly homogenates using a modification of the method of Rose and O'Connell  that employs a coupled assay with isocitrate dehydrogenase. Aconitase activity was measured with and without activation. Fly homogenates were prepared on ice by grinding 5 flies in 1.5 ml Eppendorf tubes containing 38 μl 100 mM Tris pH 7.4, 1 mM DTPA and 1 mM MgCl2. After centrifugation at 16,000 × g (Sorvall Biofuge Fresco; Kendro, Newtown, CT, USA), supernatants were collected and SOD (1,440 units/μl) was added. To activate aconitase, supernatants were placed in a 96-well plate (Cat.# 3371, Corning Inc., Lowell, MA, USA) and diluted with 9 volumes of freshly prepared ice-cold activation buffer (5.5 mM cysteine, pH 7.4, 600 μM ferrous ammonium sulfate, 94 mM Tris pH 7.4) and held for 1 h on ice. Non-activated samples were diluted with 9 volumes of ice cold 100 mM Tris pH 7.4 and assayed immediately. For the assay, a 30 μl sample (activated or non-activated) was placed in a UV transparent 96-well assay plate (Costar 3635). To start the assay, 200 μl of 37°C assay buffer was added to sample wells using a multichannel pipettor. Final assay conditions were 1 mM NADP, 5 mM MgCl2, 2 mM sodium citrate, and in 99 mM Tris pH 7.4 at 37°C containing 260 milli-units of isocitrate dehydrogenase (USB 17798)/ml. Aconitase activity was measured by following the rate of formation of NADPH at 340 nm between 2 and 5 minutes in a Spectramax Plate Reader (Molecular Devices, Sunnyvale, CA, USA). Protein concentrations were determined using the Bradford method  with bovine serum albumin as a standard. Unless otherwise noted, all reagents were from Sigma-Aldrich.
RNA isolation and microarray data analysis
An average of 35 μg RNA was isolated from groups of 30 adult male Drosophila using the RNAqueous kit (Ambion), and a portion (3 μg) was fractionated on 1.0% agarose gels to determine purity. Total RNA (10 μg) was used as substrate to generate biotinylated cRNA according to standard Affymetrix protocol (Childrens Hospital, Los Angeles, CA, USA).
DrosGenome1 arrays were used to monitor the expression of 13,500 predicted Drosophila transcripts in response to specific MnSOD over-expression under the control of a tetracycline-inducible promoter. In total, 20 gene chips were employed with four replicates for each of five conditions. To control for the effect of a 20% delay in aging caused by MnSOD over-expression, cohorts of MnSOD transgenic flies were sampled at the same chronological age (approximately 50% survival of -DOX flies, day 73) as well as at the same 'physiological age' (approximately 50% survival for both +DOX and -DOX flies, day 83 and day 73, respectively). To control for the effect of DOX, control flies treated with or without DOX were sampled at the same chronological age (approximately 50% survival of -DOX flies, day 78) since DOX does not dramatically delay aging. Thus, the following samples were hybridized to the GeneChips: control (DOX) sampled at 50% survival, control (+DOX) sampled at -DOX 50% survival, MnSOD(2)22 (-DOX) sampled at 50% survival, MnSOD(2)22 (+DOX) sampled at -DOX 50% survival, and MnSOD(2)22 (+DOX) sampled at 50% survival.
Gene expression measures were computed using the robust multichip average  in the affy package for the R statistical programming language . Linear modeling and empirical Bayes analysis  was performed using the R limma (Linear Models for Microarray data) package  to identify genes significantly differentially expressed in response to MnSOD in treated and untreated flies of the same chronological age and, likewise, in flies of the same 'physiological age' while controlling for the effect of DOX on gene expression. limma computes an empirical Bayes adjustment for the t-test, and is more robust than the standard two-sample t-test comparison. Multiple testing was corrected for by the Benjamini and Hochberg method, which controls the FDR . Using this robust method, genes were found to be significantly differentially expressed by both biological and statistical criteria (± 1.2-fold change, FDR 1% (p < 0.01)). Notably, a 1.2-fold change cutoff was selected since relatively small changes have been shown to be important for a variety of biological phenomena, including aging . The microarray data discussed in this study have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO)  and are accessible through GEO Series number GSE7159.
Identification and enrichment of DNA response elements
MnSOD-regulated genes were examined for the presence of specific DNA response elements in the region 2 Kb upstream of the transcriptional start site and the first intron using a custom program (T Goldman, M Lebo, and M Arbeitman, personal communication). The enrichment for a specific motif in a gene list was determined based on a two-stage selection procedure: one at the gene level, and another at the gene set level. First, the statistical significance of finding a specified motif in a particular gene was computed based on a second order Markov model of the background sequence  to determine the probability of finding this motif within the region examined versus a designated number of strings (1,000) that were 'randomly' constructed using Markov model nucleotide probabilities. These probabilities were computed for each motif and each gene within the lists of unique up-regulated (409) or down-regulated (322) genes and in the reference list compoised of genes (12,189) represented on the DrosGenome1 Array. Each motif was considered separately, and only genes for which the significance associated with finding that motif had a p value < 0.05 were employed in the subsequent enrichment analysis. At the second stage, the number of genes for which a given motif was found to be significant (p value < 0.05) in the set of MnSOD-regulated genes (test set) was then tested for enrichment based on the hypergeometric distribution by comparison to the reference set (genes represented on the DrosGenome1 Array). In particular, MnSOD-regulated genes were queried for the following motifs: the ARE core motif, TGACNNNGC [65, 66]; HRE, GGAAGC ; DRE, TATCGATA [68, 69]; HIF-1 response element (HIF-RE), TCACGTCC ; DBE, TTGTTTAC ; and DAE, CTTATCA .
Functional annotation and statistical overrepresentation of Gene Ontology classifications
Lists of differentially expressed genes were mapped onto the GO classification  to allow for the examination of specific molecular functions, biological processes, and cellular components that were influenced by MnSOD over-expression or other interventions. Comparisons of the distribution of MnSOD and age-dependent changes across the functional categories described by GO allowed for the identification of statistically and biologically relevant patterns of gene expression, as it did for the other comparisons of interest. To this end, GOstat [45, 46] was employed to translate lists of differentially expressed genes into functional characterizations of the effect of the condition being examined. Briefly, the number of appearances of each GO term annotated to a gene differentially expressed in a particular condition or group was determined and compared to the number of appearances in a reference list based either on the DrosGenome1 Array or some subset thereof. Statistically overrepresented GO categories were identified by the calculation of a p value denoting the probability that the observed numbers of counts could have resulted from randomly distributing a particular GO term between the test and reference group. The p value is approximated by a Chi-square distribution (Fisher's Exact test when the expected number of counts is <5), and multiple testing was corrected for by controlling the FDR at a level of 1% (p < 0.01).
Comparison of MnSOD-regulated genes to published data
A more thorough comparison of the results presented here with other published data would require a full treatment of the raw data to ensure a common normalization routine and statistical determination of differential gene expression. In several instances the raw data were not available in microarray repositories, nor upon request, and more rigorous comparisons could not be made. This was especially unfortunate for studies in which the number of replicates was low and primitive statistical procedures were employed to process the data, since methods in microarray data analysis continue to improve considerably. Since the raw data were not available for all the studies of interest, the processed data were utilized for all comparisons. In support of this approach, a recent study aimed at the identification of biomarkers from multiple cancer datasets discussed similar issues in the use of raw versus processed data . The authors concluded that a meta-review approach using processed data was highly concordant with a meta-analysis approach based on re-analysis of the raw data.
Comparison of gene expression changes in Drosophilaresulting from MnSOD over-expression to normal aging
Previously, Landis et al.  examined the transcriptional profile of normal aging in male Drosophila using DrosGenome1 arrays and reported the up-regulation of 271 genes and the down-regulation of 656 genes. The gene expression patterns of MnSOD over-expression were compared to those of normal aging by considering genes that were altered in either the same or opposing directions.
Comparison of gene expression changes resulting from MnSOD over-expression in Drosophila to C. elegans daf-2mutants
McElwee and colleagues [74, 75] previously described the transcriptional outputs of long-lived dauers and identified genes regulated by daf-2 in a daf-16 dependent manner. The gene expression patterns of MnSOD over-expressing Drosophila were compared to these lists by mapping pairs of D. melanogaster and C. elegans reciprocal best BLAST hits  onto the respective microarrays with allowance for fly genes with multiple close worm homologues. Worm-fly orthologs representing 3,542 unique fly genes and 4,940 total worm-fly pairs resulted. Of the 412 genes up-regulated by MnSOD in flies sampled at both the same chronological and the same 'physiological' age, 169 have a worm ortholog based on the above mapping. Of the 1,160 genes up-regulated in the daf-2/daf-16 dataset, 185 have fly orthologs with 25 genes being identified in both studies. If the list is expanded to include all 656 genes (265 have a corresponding worm ortholog) that are up-regulated by MnSOD when flies are sampled at the same chronological age, five additional genes are identified in the overlap. Likewise, if the list includes all 858 (337 have a corresponding worm ortholog) genes up-regulated by MnSOD when flies are sampled at the same 'physiological age', 10 additional genes are identified in the overlap.
Comparison of gene expression changes in Drosophilaresulting from MnSOD over-expression to phenobarbital induced xenobiotic stress
Previously, King-Jones et al.  studied the Drosophila xenobiotic response by treating CanS flies with PB and examining the resultant transcriptional profiles using Drosophila2 arrays. Comparisons between MnSOD-regulated genes (identified using Affymetrix DrosGenome1 arrays) and xenobiotic regulated genes (identified using Drosophila2 arrays) were made by considering only those probesets that represent 'good matches', according to the manufacturer. This resulted in 8,636 genes being mapped to probes on both arrays. Out of the 656 genes up-regulated at the same chronological age due to MnSOD over-expression, 411 are considered matches between these two arrays based on this criterion. Likewise, of the 503 genes up-regulated by PB treatment , 337 are considered matches. From these lists, 59 genes were found to be up-regulated in both conditions.
Comparison of gene expression changes in Drosophilaresulting from MnSOD over-expression to altered insulin signaling
Puig et al.  previously reported the up-regulation of 277 genes in response to insulin stimulation in S2 cells that expressed the constitutively active dFOXO construct, dFoxoA3, using DrosGenome1 arrays. A separate study by Junger et al.  also examined the transcriptional response of Drosophila tissue culture cells to insulin stimulation. In this study, stationary Kc167 cells treated with 100 nM insulin for 2 hours were compared to untreated controls using DrosGenome1 arrays. A selection of candidate genes demonstrating two-fold or greater repression upon insulin stimulation was reported in the published work, and examination of the previously processed data suggests that 481 and 199 genes were up- and down-regulated, respectively, greater than two-fold 2 hours post insulin stimulation.
Comparison of gene expression changes in Drosophilaresulting from MnSOD over-expression to yeast re-feeding
Recently, Gershman et al.  characterized the transcriptional profiles of female Drosophila during the first 12 hours of yeast re-feeding after dietary restriction using DrosGenome1 arrays. Using a change point statistic, the authors identified 3,519 differentially expressed genes, of which 2,310 were up-regulated and 1,209 down-regulated. The authors also compared these profiles to those described by Puig et al.  to identify potential nutrient-mediated dFOXO targets. In this study, MnSOD-regulated genes were compared to those either up- or down-regulated upon yeast re-feeding.
Statistical significance of overlapping gene sets
The statistical significance of the overlap between various gene sets was evaluated by computing the p value representing the probability of obtaining the observed number of overlaps by chance under a hypergeometric distribution. Additionally, the significance of the observed level of overlap between differentially expressed genes for several of the comparisons was assessed by Monte Carlo simulation using custom scripts. In cases where a mapping between orthologs or between Affymetrix probe identifiers was necessary, this step was included in the simulation. For example, for the comparison of genes that were up-regulated by MnSOD over-expression in Drosophila to those that were up-regulated in daf-2 worms in a daf-16 dependent manner, 412 and 1,199 genes were randomly selected from the appropriate total list of genes represented on the DrosGenome1 array and C. elegans whole genome Affymetrix array, respectively. These genes were then mapped onto the list of ortholog pairs, and the number of overlaps between these two lists was counted. This procedure was repeated 10,000 times to produce a distribution of overlap results from the random simulations and an approximate p value was computed by comparing the actual overlap to this distribution (Additional data file 5). Using the appropriate total gene lists, simulations were also performed for the comparison used to identify aging biomarkers as well as for the comparison of MnSOD-regulated genes and xenobiotic detoxification genes.
Additional data files
The following additional data are available with the online version of this paper. Additional data file 1 provides additional methods, including statistical analysis of the effect of DOX-induced MnSOD over-expression on lifespan, stress resistance, desiccation, metabolism, and aconitase levels and LacZ expression assay. Additional data file 2 provides additional results for the effect of DOX-induced MnSOD over-expression on lifespan, stress resistance, desiccation, metabolism, and aconitase levels and LacZ expression assay. Additional data file 3 lists DOX regulated immune response genes. Additional data file 4 lists annotated differentially expressed genes resulting from MnSOD over-expression. Additional data file 5 shows the statistical significance of overlapping gene sets. Additional data file 6 is a categorization of the gene expression differences between MnSOD over-expressing flies and controls sampled at the same 'physiological age'. Additional data file 7 shows additional longevity promoting genes conserved between C. elegans daf-2 mutants and MnSOD over-expressing Drosophila. Additional data file 8 shows MnSOD-regulated xenobiotic detoxification genes. Additional data file 9 gives the DNA regulatory elements in the set of conserved longevity promoting genes. Additional data file 10 provides supporting results and additional explanatory text. Additional data file 11 describes the proposed role for HR96 in the endocrine regulation of lifespan.
adenosine monophosphate (AMP)-activated protein kinase
antioxidant response element
DAF-16 associated element
DAF-16 binding element
DNA replication-related element
false discovery rate
hypoxia induction factor
hypoxia induction factor-1 (HIF-1) response element
hydrogen peroxide response element
insulin/insulin-like growth factor-like signaling
mitogen-activated protein kinase
nuclear factor-kappa beta
reactive oxygen species
We thank Haiyun Yen, Chunli Ren, Jennifer Myers, and Yvette Yeung for help with Drosophila culture and survival assays, Junsheng Yang for help with LacZ assays, as well as Thomas Goldman, Matt Lebo, and Michelle Arbeitman for help with transcription factor motif analyses. This work was supported by grants from the Department of Health and Human Services to JT (AG11644 and AG11833) and to ST (GM67243). AB was supported in part by training grant (AG00093). ST is a Royal Society Wolfson Research Merit Award holder.
- Finkel T: Oxidant signals and oxidative stress. Curr Opin Cell Biol. 2003, 15 (2): 247-254.PubMedGoogle Scholar
- Stadtman ER: Role of oxidant species in aging. Curr Med Chem. 2004, 11 (9): 1105-1112.PubMedGoogle Scholar
- Fridovich I: Superoxide radical and superoxide dismutases. Annu Rev Biochem. 1995, 64: 97-112.PubMedGoogle Scholar
- Landis GN, Tower J: Superoxide dismutase evolution and life span regulation. Mech Ageing Dev. 2005, 126 (3): 365-379.PubMedGoogle Scholar
- Orr WC, Sohal RS: Extension of life-span by overexpression of superoxide dismutase and catalase in Drosophila melanogaster. Science. 1994, 263 (5150): 1128-1130.PubMedGoogle Scholar
- Sohal RS, Agarwal A, Agarwal S, Orr WC: Simultaneous overexpression of copper- and zinc-containing superoxide dismutase and catalase retards age-related oxidative damage and increases metabolic potential in Drosophila melanogaster. J Biol Chem. 1995, 270 (26): 15671-15674.PubMedGoogle Scholar
- Yan LJ, Levine RL, Sohal RS: Oxidative damage during aging targets mitochondrial aconitase. Proc Natl Acad Sci USA. 1997, 94 (21): 11168-11172.PubMedPubMed CentralGoogle Scholar
- Wheeler JC, Bieschke ET, Tower J: Muscle-specific expression of Drosophila hsp70 in response to aging and oxidative stress. Proc Natl Acad Sci USA. 1995, 92 (22): 10408-10412.PubMedPubMed CentralGoogle Scholar
- Kirby K, Hu J, Hilliker AJ, Phillips JP: RNA interference-mediated silencing of Sod2 in Drosophila leads to early adult-onset mortality and elevated endogenous oxidative stress. Proc Natl Acad Sci USA. 2002, 99 (25): 16162-16167.PubMedPubMed CentralGoogle Scholar
- Landis GN, Abdueva D, Skvortsov D, Yang J, Rabin BE, Carrick J, Tavare S, Tower J: Similar gene expression patterns characterize aging and oxidative stress in Drosophila melanogaster. Proc Natl Acad Sci USA. 2004, 101 (20): 7663-7668.PubMedPubMed CentralGoogle Scholar
- Griswold CM, Matthews AL, Bewley KE, Mahaffey JW: Molecular characterization and rescue of acatalasemic mutants of Drosophila melanogaster. Genetics. 1993, 134 (3): 781-788.PubMedPubMed CentralGoogle Scholar
- Mackay WJ, Bewley GC: The genetics of catalase in Drosophila melanogaster: isolation and characterization of acatalasemic mutants. Genetics. 1989, 122 (3): 643-652.PubMedPubMed CentralGoogle Scholar
- Phillips JP, Campbell SD, Michaud D, Charbonneau M, Hilliker AJ: Null mutation of copper/zinc superoxide dismutase in Drosophila confers hypersensitivity to paraquat and reduced longevity. Proc Natl Acad Sci USA. 1989, 86 (8): 2761-2765.PubMedPubMed CentralGoogle Scholar
- Parkes TL, Elia AJ, Dickinson D, Hilliker AJ, Phillips JP, Boulianne GL: Extension of Drosophila lifespan by overexpression of human SOD1 in motorneurons. Nat Genet. 1998, 19 (2): 171-174.PubMedGoogle Scholar
- Sun J, Tower J: FLP recombinase-mediated induction of Cu/Zn-superoxide dismutase transgene expression can extend the life span of adult Drosophila melanogaster flies. Mol Cell Biol. 1999, 19 (1): 216-228.PubMedPubMed CentralGoogle Scholar
- Sun J, Molitor J, Tower J: Effects of simultaneous over-expression of Cu/ZnSOD and MnSOD on Drosophila melanogaster life span. Mech Ageing Dev. 2004, 125 (5): 341-349.PubMedGoogle Scholar
- Sun J, Folk D, Bradley TJ, Tower J: Induced overexpression of mitochondrial Mn-superoxide dismutase extends the life span of adult Drosophila melanogaster. Genetics. 2002, 161 (2): 661-672.PubMedPubMed CentralGoogle Scholar
- Bieschke ET, Wheeler JC, Tower J: Doxycycline-induced transgene expression during Drosophila development and aging. Mol Gen Genet. 1998, 258 (6): 571-579.PubMedGoogle Scholar
- Clancy DJ, Gems D, Harshman LG, Oldham S, Stocker H, Hafen E, Leevers SJ, Partridge L: Extension of life-span by loss of CHICO, a Drosophila insulin receptor substrate protein. Science. 2001, 292 (5514): 104-106.PubMedGoogle Scholar
- Tatar M, Kopelman A, Epstein D, Tu MP, Yin CM, Garofalo RS: A mutant Drosophila insulin receptor homolog that extends life-span and impairs neuroendocrine function. Science. 2001, 292 (5514): 107-110.PubMedGoogle Scholar
- Kenyon C, Chang J, Gensch E, Rudner A, Tabtiang R: A C. elegans mutant that lives twice as long as wild type. Nature. 1993, 366 (6454): 461-464.PubMedGoogle Scholar
- Honda Y, Honda S: Oxidative stress and life span determination in the nematode Caenorhabditis elegans. Ann N Y Acad Sci. 2002, 959: 466-474.PubMedGoogle Scholar
- Murphy CT, McCarroll SA, Bargmann CI, Fraser A, Kamath RS, Ahringer J, Li H, Kenyon C: Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans. Nature. 2003, 424 (6946): 277-283.PubMedGoogle Scholar
- McElwee J, Bubb K, Thomas JH: Transcriptional outputs of the Caenorhabditis elegans forkhead protein DAF-16. Aging Cell. 2003, 2 (2): 111-121.PubMedGoogle Scholar
- Yu H, Larsen PL: DAF-16-dependent and independent expression targets of DAF-2 insulin receptor-like pathway in Caenorhabditis elegans include FKBPs. J Mol Biol. 2001, 314 (5): 1017-1028.PubMedGoogle Scholar
- Ayyadevara S, Dandapat A, Singh SP, Benes H, Zimniak L, Reis RJ, Zimniak P: Lifespan extension in hypomorphic daf-2 mutants of Caenorhabditis elegans is partially mediated by glutathione transferase CeGSTP2-2. Aging Cell. 2005, 4 (6): 299-307.PubMedGoogle Scholar
- Melendez A, Talloczy Z, Seaman M, Eskelinen EL, Hall DH, Levine B: Autophagy genes are essential for dauer development and life-span extension in C. elegans. Science. 2003, 301 (5638): 1387-1391.PubMedGoogle Scholar
- Cohen E, Bieschke J, Perciavalle RM, Kelly JW, Dillin A: Opposing activities protect against age-onset proteotoxicity. Science. 2006, 313 (5793): 1604-1610.PubMedGoogle Scholar
- Zou S, Meadows S, Sharp L, Jan LY, Jan YN: Genome-wide study of aging and oxidative stress response in Drosophila melanogaster. Proc Natl Acad Sci USA. 2000, 97 (25): 13726-13731.PubMedPubMed CentralGoogle Scholar
- Zhan M, Yamaza H, Sun Y, Sinclair J, Li H, Zou S: Temporal and spatial transcriptional profiles of aging in Drosophila melanogaster. Genome Res. 2007, 17 (8): 1236-1243.PubMedPubMed CentralGoogle Scholar
- McCarroll SA, Murphy CT, Zou S, Pletcher SD, Chin CS, Jan YN, Kenyon C, Bargmann CI, Li H: Comparing genomic expression patterns across species identifies shared transcriptional profile in aging. Nat Genet. 2004, 36 (2): 197-204.PubMedGoogle Scholar
- Smith ED, Kennedy BK, Kaeberlein M: Genome-wide identification of conserved longevity genes in yeast and worms. Mech Ageing Dev. 2007, 128 (1): 106-111.PubMedGoogle Scholar
- Davison AC, Hinkley DV: Bootstrap Methods and Their Application. 1997, New York, NY: Cambridge University PressGoogle Scholar
- Ren C, Webster P, Finkel S, Tower J: Increased internal and external bacterial load during Drosophila aging without life-span trade-off. Cell Metab. 2007Google Scholar
- Choquet D, L'Ecuyer P, Leger C: Bootstrap Confidence Intervals for Ratios of Expectations. ACM Transactions on Modeling and Computer Simulation. 1999, 9 (4): 326-348.Google Scholar
- Finch CE, Pike MC, Witten M: Slow mortality rate accelerations during aging in some animals approximate that of humans. Science. 1990, 249 (4971): 902-905.PubMedGoogle Scholar
- Kenyon C: A conserved regulatory system for aging. Cell. 2001, 105 (2): 165-168.PubMedGoogle Scholar
- Kenyon C: The plasticity of aging: insights from long-lived mutants. Cell. 2005, 120 (4): 449-460.PubMedGoogle Scholar
- Libina N, Berman JR, Kenyon C: Tissue-specific activities of C. elegans DAF-16 in the regulation of lifespan. Cell. 2003, 115 (4): 489-502.PubMedGoogle Scholar
- Broughton SJ, Piper MD, Ikeya T, Bass TM, Jacobson J, Driege Y, Martinez P, Hafen E, Withers DJ, Leevers SJ, et al: Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands. Proc Natl Acad Sci USA. 2005, 102 (8): 3105-3110.PubMedPubMed CentralGoogle Scholar
- Schwarze SR, Weindruch R, Aiken JM: Oxidative stress and aging reduce COX I RNA and cytochrome oxidase activity in Drosophila. Free Radic Biol Med. 1998, 25 (6): 740-747.PubMedGoogle Scholar
- Gems D, Sutton AJ, Sundermeyer ML, Albert PS, King KV, Edgley ML, Larsen PL, Riddle DL: Two pleiotropic classes of daf-2 mutation affect larval arrest, adult behavior, reproduction and longevity in Caenorhabditis elegans. Genetics. 1998, 150 (1): 129-155.PubMedPubMed CentralGoogle Scholar
- Van Voorhies WA, Ward S: Genetic and environmental conditions that increase longevity in Caenorhabditis elegans decrease metabolic rate. Proc Natl Acad Sci USA. 1999, 96 (20): 11399-11403.PubMedPubMed CentralGoogle Scholar
- Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, et al: Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000, 25 (1): 25-29.PubMedPubMed CentralGoogle Scholar
- Beissbarth T, Speed TP: GOstat: find statistically overrepresented Gene Ontologies within a group of genes. Bioinformatics. 2004, 20 (9): 1464-1465.PubMedGoogle Scholar
- GOstat. [http://gostat.wehi.edu.au/]
- Wang MC, Bohmann D, Jasper H: JNK extends life span and limits growth by antagonizing cellular and organism-wide responses to insulin signaling. Cell. 2005, 121 (1): 115-125.PubMedGoogle Scholar
- Belgacem YH, Martin JR: Hmgcr in the Corpus Allatum Controls Sexual Dimorphism of Locomotor Activity and Body Size via the Insulin Pathway in Drosophila. PLoS ONE. 2007, 2: e187-PubMedPubMed CentralGoogle Scholar
- Davies KJ, Ermak G, Rothermel BA, Pritchard M, Heitman J, Ahnn J, Henrique-Silva F, Crawford D, Canaider S, Strippoli P, et al: Renaming the DSCR1/Adapt78 gene family as RCAN: regulators of calcineurin. Faseb J. 2007, 21 (12): 3023-3028.PubMedGoogle Scholar
- Apfeld J, Kenyon C: Regulation of lifespan by sensory perception in Caenorhabditis elegans. Nature. 1999, 402 (6763): 804-809.PubMedGoogle Scholar
- Alcedo J, Kenyon C: Regulation of C. elegans longevity by specific gustatory and olfactory neurons. Neuron. 2004, 41 (1): 45-55.PubMedGoogle Scholar
- Storz P: Mitochondrial ROS -- radical detoxification, mediated by protein kinase D. Trends Cell Biol. 2007, 17 (1): 13-18.PubMedGoogle Scholar
- Iordanov MS, Magun BE: Different mechanisms of c-Jun NH(2)-terminal kinase-1 (JNK1) activation by ultraviolet-B radiation and by oxidative stressors. J Biol Chem. 1999, 274 (36): 25801-25806.PubMedGoogle Scholar
- Zhou JY, Liu Y, Wu GS: The role of mitogen-activated protein kinase phosphatase-1 in oxidative damage-induced cell death. Cancer research. 2006, 66 (9): 4888-4894.PubMedGoogle Scholar
- Ranganathan AC, Nelson KK, Rodriguez AM, Kim KH, Tower GB, Rutter JL, Brinckerhoff CE, Huang TT, Epstein CJ, Jeffrey JJ, et al: Manganese superoxide dismutase signals matrix metalloproteinase expression via H2O2-dependent ERK1/2 activation. J Biol Chem. 2001, 276 (17): 14264-14270.PubMedGoogle Scholar
- Ha EM, Oh CT, Ryu JH, Bae YS, Kang SW, Jang IH, Brey PT, Lee WJ: An antioxidant system required for host protection against gut infection in Drosophila. Dev Cell. 2005, 8 (1): 125-132.PubMedGoogle Scholar
- Giot L, Bader JS, Brouwer C, Chaudhuri A, Kuang B, Li Y, Hao YL, Ooi CE, Godwin B, Vitols E, et al: A protein interaction map of Drosophila melanogaster. Science. 2003, 302 (5651): 1727-1736.PubMedGoogle Scholar
- Landis GN, Bhole D, Tower J: A search for doxycycline-dependent mutations that increase Drosophila melanogaster life span identifies the VhaSFD, Sugar baby, filamin, fwd and Cctl genes. Genome Biol. 2003, 4 (2): R8-PubMedPubMed CentralGoogle Scholar
- Gorski SM, Chittaranjan S, Pleasance ED, Freeman JD, Anderson CL, Varhol RJ, Coughlin SM, Zuyderduyn SD, Jones SJ, Marra MA: A SAGE approach to discovery of genes involved in autophagic cell death. Curr Biol. 2003, 13 (4): 358-363.PubMedGoogle Scholar
- Colombani J, Bianchini L, Layalle S, Pondeville E, Dauphin-Villemant C, Antoniewski C, Carre C, Noselli S, Leopold P: Antagonistic actions of ecdysone and insulins determine final size in Drosophila. Science. 2005, 310 (5748): 667-670.PubMedGoogle Scholar
- Hennig KM, Colombani J, Neufeld TP: TOR coordinates bulk and targeted endocytosis in the Drosophila melanogaster fat body to regulate cell growth. J Cell Biol. 2006, 173 (6): 963-974.PubMedPubMed CentralGoogle Scholar
- Hansen M, Hsu AL, Dillin A, Kenyon C: New genes tied to endocrine, metabolic, and dietary regulation of lifespan from a Caenorhabditis elegans genomic RNAi screen. PLoS Genet. 2005, 1 (1): 119-128.PubMedGoogle Scholar
- Ren Y, Smith A: Mechanism of metallothionein gene regulation by heme-hemopexin. Roles of protein kinase C, reactive oxygen species, and cis-acting elements. J Biol Chem. 1995, 270 (41): 23988-23995.PubMedGoogle Scholar
- Yoo HY, Chang MS, Rho HM: The activation of the rat copper/zinc superoxide dismutase gene by hydrogen peroxide through the hydrogen peroxide-responsive element and by paraquat and heat shock through the same heat shock element. J Biol Chem. 1999, 274 (34): 23887-23892.PubMedGoogle Scholar
- Rushmore TH, Morton MR, Pickett CB: The antioxidant responsive element. Activation by oxidative stress and identification of the DNA consensus sequence required for functional activity. J Biol Chem. 1991, 266 (18): 11632-11639.PubMedGoogle Scholar
- Nguyen T, Sherratt PJ, Pickett CB: Regulatory mechanisms controlling gene expression mediated by the antioxidant response element. Annual review of pharmacology and toxicology. 2003, 43: 233-260.PubMedGoogle Scholar
- Wilson LA, Gemin A, Espiritu R, Singh G: ets-1 is transcriptionally up-regulated by H2O2 via an antioxidant response element. Faseb J. 2005, 19 (14): 2085-2087.PubMedGoogle Scholar
- Park SY, Kim YS, Yang DJ, Yoo MA: Transcriptional regulation of the Drosophila catalase gene by the DRE/DREF system. Nucleic Acids Res. 2004, 32 (4): 1318-1324.PubMedPubMed CentralGoogle Scholar
- Elemento O, Tavazoie S: Fast and systematic genome-wide discovery of conserved regulatory elements using a non-alignment based approach. Genome Biol. 2005, 6 (2): R18-PubMedPubMed CentralGoogle Scholar
- Furuyama T, Nakazawa T, Nakano I, Mori N: Identification of the differential distribution patterns of mRNAs and consensus binding sequences for mouse DAF-16 homologues. The Biochemical journal. 2000, 349 (Pt 2): 629-634.PubMedPubMed CentralGoogle Scholar
- Nerland DE: The antioxidant/electrophile response element motif. Drug metabolism reviews. 2007, 39 (1): 235-248.PubMedGoogle Scholar
- Jeyapaul J, Jaiswal AK: Nrf2 and c-Jun regulation of antioxidant response element (ARE)-mediated expression and induction of gamma-glutamylcysteine synthetase heavy subunit gene. Biochemical pharmacology. 2000, 59 (11): 1433-1439.PubMedGoogle Scholar
- Tsuji Y: JunD activates transcription of the human ferritin H gene through an antioxidant response element during oxidative stress. Oncogene. 2005, 24 (51): 7567-7578.PubMedPubMed CentralGoogle Scholar
- McElwee JJ, Schuster E, Blanc E, Thomas JH, Gems D: Shared transcriptional signature in Caenorhabditis elegans Dauer larvae and long-lived daf-2 mutants implicates detoxification system in longevity assurance. J Biol Chem. 2004, 279 (43): 44533-44543.PubMedGoogle Scholar
- Gems D, McElwee JJ: Broad spectrum detoxification: the major longevity assurance process regulated by insulin/IGF-1 signaling?. Mech Ageing Dev. 2005, 126 (3): 381-387.PubMedGoogle Scholar
- King-Jones K, Horner MA, Lam G, Thummel CS: The DHR96 nuclear receptor regulates xenobiotic responses in Drosophila. Cell Metab. 2006, 4 (1): 37-48.PubMedGoogle Scholar
- Clancy DJ, Gems D, Harshman LG, Oldham S, Stocker H, Hafen E, Leevers SJ, Partridge L: Extension of life-span by loss of CHICO, a Drosophila insulin receptor substrate protein. Science. 2001, 292: 104-106.PubMedGoogle Scholar
- Ford D, Hoe N, Landis GN, Tozer K, Luu A, Bhole D, Badrinath A, Tower J: Alteration of Drosophila life span using conditional, tissue-specific expression of transgenes triggered by doxycyline or RU486/Mifepristone. Exp Gerontol. 2007, 42 (6): 483-497.PubMedPubMed CentralGoogle Scholar
- Ugalde C, Vogel R, Huijbens R, Van Den Heuvel B, Smeitink J, Nijtmans L: Human mitochondrial complex I assembles through the combination of evolutionary conserved modules: a framework to interpret complex I deficiencies. Human molecular genetics. 2004, 13 (20): 2461-2472.PubMedGoogle Scholar
- Zhang L, Ging NC, Komoda T, Hanada T, Suzuki T, Watanabe K: Antibiotic susceptibility of mammalian mitochondrial translation. FEBS letters. 2005, 579 (28): 6423-6427.PubMedGoogle Scholar
- Ostrander DB, Zhang M, Mileykovskaya E, Rho M, Dowhan W: Lack of mitochondrial anionic phospholipids causes an inhibition of translation of protein components of the electron transport chain. A yeast genetic model system for the study of anionic phospholipid function in mitochondria. J Biol Chem. 2001, 276 (27): 25262-25272.PubMedGoogle Scholar
- Yadava N, Houchens T, Potluri P, Scheffler IE: Development and characterization of a conditional mitochondrial complex I assembly system. J Biol Chem. 2004, 279 (13): 12406-12413.PubMedGoogle Scholar
- Rea SL, Wu D, Cypser JR, Vaupel JW, Johnson TE: A stress-sensitive reporter predicts longevity in isogenic populations of Caenorhabditis elegans. Nat Genet. 2005, 37 (8): 894-898.PubMedPubMed CentralGoogle Scholar
- Zahn JM, Sonu R, Vogel H, Crane E, Mazan-Mamczarz K, Rabkin R, Davis RW, Becker KG, Owen AB, Kim SK: Transcriptional profiling of aging in human muscle reveals a common aging signature. PLoS Genet. 2006, 2 (7): e115-PubMedPubMed CentralGoogle Scholar
- Klowden M: Physiological Systems in insects. 2002, London: Academic, 163-203.Google Scholar
- Liu G, Roy J, Johnson EA: Identification and function of hypoxia-response genes in Drosophila melanogaster. Physiol Genomics. 2006, 25 (1): 134-141.PubMedGoogle Scholar
- Chen Q, Ma E, Behar KL, Xu T, Haddad GG: Role of trehalose phosphate synthase in anoxia tolerance and development in Drosophila melanogaster. J Biol Chem. 2002, 277 (5): 3274-3279.PubMedGoogle Scholar
- Belgacem YH, Martin JR: Disruption of insulin pathways alters trehalose level and abolishes sexual dimorphism in locomotor activity in Drosophila. Journal of neurobiology. 2006, 66 (1): 19-32.PubMedGoogle Scholar
- McElwee JJ, Schuster E, Blanc E, Thornton J, Gems D: Diapause-associated metabolic traits reiterated in long-lived daf-2 mutants in the nematode Caenorhabditis elegans. Mech Ageing Dev. 2006, 127 (5): 458-472.PubMedGoogle Scholar
- Lamitina ST, Strange K: Transcriptional targets of DAF-16 insulin signaling pathway protect C. elegans from extreme hypertonic stress. Am J Physiol Cell Physiol. 2005, 288 (2): C467-474.PubMedGoogle Scholar
- Pellerone FI, Archer SK, Behm CA, Grant WN, Lacey MJ, Somerville AC: Trehalose metabolism genes in Caenorhabditis elegans and filarial nematodes. Int J Parasitol. 2003, 33 (11): 1195-1206.PubMedGoogle Scholar
- Tatar M, Bartke A, Antebi A: The endocrine regulation of aging by insulin-like signals. Science. 2003, 299 (5611): 1346-1351.PubMedGoogle Scholar
- Simon AF, Shih C, Mack A, Benzer S: Steroid control of longevity in Drosophila melanogaster. Science. 2003, 299 (5611): 1407-1410.PubMedGoogle Scholar
- Libert S, Zwiener J, Chu X, Vanvoorhies W, Roman G, Pletcher SD: Regulation of Drosophila Life Span by Olfaction and Food-Derived Odors. Science. 2007Google Scholar
- McElwee JJ, Schuster E, Blanc E, Piper MD, Thomas JH, Patel DS, Selman C, Withers DJ, Thornton JM, Partridge L, et al: Evolutionarily conservation of regulated longevity assurance mechanisms. Genome Biol. 2007, 8 (7): R132-PubMedPubMed CentralGoogle Scholar
- Golden TR, Melov S: Microarray analysis of gene expression with age in individual nematodes. Aging Cell. 2004, 3 (3): 111-124.PubMedGoogle Scholar
- Gershman B, Puig O, Hang L, Peitzsh RM, Tatar M, Garofalo RS: High resolution dynamics of the transcriptional response to nutrition in Drosophila: a key role for dFOXO. Physiol Genomics. 2006Google Scholar
- Curtis R, O'Connor G, DiStefano PS: Aging networks in Caenorhabditis elegans: AMP-activated protein kinase (aak-2) links multiple aging and metabolism pathways. Aging Cell. 2006, 5 (2): 119-126.PubMedGoogle Scholar
- Larsen PL, Albert PS, Riddle DL: Genes that regulate both development and longevity in Caenorhabditis elegans. Genetics. 1995, 139 (4): 1567-1583.PubMedPubMed CentralGoogle Scholar
- Antebi A, Yeh WH, Tait D, Hedgecock EM, Riddle DL: daf-12 encodes a nuclear receptor that regulates the dauer diapause and developmental age in C. elegans. Genes Dev. 2000, 14 (12): 1512-1527.PubMedPubMed CentralGoogle Scholar
- Liochev SI, Fridovich I: The effects of superoxide dismutase on H2O2 formation. Free Radic Biol Med. 2007, 42 (10): 1465-1469.PubMedGoogle Scholar
- McBride HM, Neuspiel M, Wasiak S: Mitochondria: more than just a powerhouse. Curr Biol. 2006, 16 (14): R551-560.PubMedGoogle Scholar
- Kim A, Murphy MP, Oberley TD: Mitochondrial redox state regulates transcription of the nuclear-encoded mitochondrial protein manganese superoxide dismutase: a proposed adaptive response to mitochondrial redox imbalance. Free Radic Biol Med. 2005, 38 (5): 644-654.PubMedGoogle Scholar
- Le Bourg E: Hormetic effects on longevity of hydrogen peroxide in Drosophila melanogaster flies living on a poorly nutritious medium. Biogerontology. 2007, 8 (3): 327-344.PubMedGoogle Scholar
- Lee SR, Yang KS, Kwon J, Lee C, Jeong W, Rhee SG: Reversible inactivation of the tumor suppressor PTEN by H2O2. J Biol Chem. 2002, 277 (23): 20336-20342.PubMedGoogle Scholar
- Song Z, Saghafi N, Gokhale V, Brabant M, Meuillet EJ: Regulation of the activity of the tumor suppressor PTEN by thioredoxin in Drosophila melanogaster. Exp Cell Res. 2007Google Scholar
- Junger MA, Rintelen F, Stocker H, Wasserman JD, Vegh M, Radimerski T, Greenberg ME, Hafen E: The Drosophila forkhead transcription factor FOXO mediates the reduction in cell number associated with reduced insulin signaling. J Biol. 2003, 2 (3): 20-PubMedPubMed CentralGoogle Scholar
- Puig O, Marr MT, Ruhf ML, Tjian R: Control of cell number by Drosophila FOXO: downstream and feedback regulation of the insulin receptor pathway. Genes Dev. 2003, 17 (16): 2006-2020.PubMedPubMed CentralGoogle Scholar
- Oh SW, Mukhopadhyay A, Dixit BL, Raha T, Green MR, Tissenbaum HA: Identification of direct DAF-16 targets controlling longevity, metabolism and diapause by chromatin immunoprecipitation. Nat Genet. 2006, 38 (2): 251-257.PubMedGoogle Scholar
- Wolff S, Dillin A: The trifecta of aging in Caenorhabditis elegans. Exp Gerontol. 2006, 41 (10): 894-903.PubMedGoogle Scholar
- Schieke SM, Phillips D, McCoy JP, Aponte AM, Shen RF, Balaban RS, Finkel T: The mammalian target of rapamycin (mTOR) pathway regulates mitochondrial oxygen consumption and oxidative capacity. J Biol Chem. 2006, 281 (37): 27643-27652.PubMedGoogle Scholar
- Jazwinski SM: The retrograde response links metabolism with stress responses, chromatin-dependent gene activation, and genome stability in yeast aging. Gene. 2005, 354: 22-27.PubMedGoogle Scholar
- Lindsley D, Zimm G: The Genome of Drosophila melanogaster. 1992, San Diego: Academic PressGoogle Scholar
- Landis G, Bhole D, Lu L, Tower J: High-frequency generation of conditional mutations affecting Drosophila melanogaster development and life span. Genetics. 2001, 158 (3): 1167-1176.PubMedPubMed CentralGoogle Scholar
- Allikian MJ, Deckert-Cruz D, Rose MR, Landis GN, Tower J: Doxycycline-induced expression of sense and inverted-repeat constructs modulates phosphogluconate mutase (Pgm) gene expression in adult Drosophila melanogaster. Genome Biol. 2002, 3 (5): research0021-PubMedPubMed CentralGoogle Scholar
- Rubin GM, Spradling AC: Genetic transformation of Drosophila with transposable element vectors. Science. 1982, 218 (4570): 348-353.PubMedGoogle Scholar
- Patton JS, Gomes XV, Geyer PK: Position-independent germline transformation in Drosophila using a cuticle pigmentation gene as a selectable marker. Nucleic Acids Res. 1992, 20 (21): 5859-5860.PubMedPubMed CentralGoogle Scholar
- Ashburner M: Drosophila: A Laboratory Handbook. 1989, Plainview, NY: Cold Spring Harbor Lab. PressGoogle Scholar
- O'Connell PO, Rosbash M: Sequence, structure, and codon preference of the Drosophila ribosomal protein 49 gene. Nucleic Acids Res. 1984, 12 (13): 5495-5513.PubMedPubMed CentralGoogle Scholar
- Huang L-F, Johnson RA: Confidence regions for the ratio of percentiles. Letters in Probability & Statistics. 2006, 76: 384-392.Google Scholar
- Rose IA, O'Connell EL: Mechanism of aconitase action. I. The hydrogen transfer reaction. J Biol Chem. 1967, 242 (8): 1870-1879.PubMedGoogle Scholar
- Bradford MM: A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976, 72: 248-254.PubMedGoogle Scholar
- Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP: Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 2003, 31 (4): e15-PubMedPubMed CentralGoogle Scholar
- R Development Core Team: R: A Language and Environment for Statistical Computing. 2007, R Foundation for Statistical Computing; Vienna, AustriaGoogle Scholar
- Smyth GK: Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004, 3: Article3-PubMedGoogle Scholar
- Smyth GK: Limma: linear models for microarray data. Bioinformatics and Computational Biology Solutions using R and Bioconductor. Edited by: Gentleman R, Vincent CJ, Huber W, Irizarry RA, Dudoit S. 2005, New York: Springer Science+Business Media, 397-420.Google Scholar
- Storey JD, Tibshirani R: Statistical significance for genomewide studies. Proc Natl Acad Sci USA. 2003, 100 (16): 9440-9445.PubMedPubMed CentralGoogle Scholar
- Rodwell GE, Sonu R, Zahn JM, Lund J, Wilhelmy J, Wang L, Xiao W, Mindrinos M, Crane E, Segal E, et al: A transcriptional profile of aging in the human kidney. PLoS Biol. 2004, 2 (12): e427-PubMedPubMed CentralGoogle Scholar
- Barrett T, Suzek TO, Troup DB, Wilhite SE, Ngau WC, Ledoux P, Rudnev D, Lash AE, Fujibuchi W, Edgar R: NCBI GEO: mining millions of expression profiles -- database and tools. Nucleic Acids Res. 2005, D562-566. 33 Database
- Regnier M, Denise A: Rare events and conditional events on random strings. Discrete Math TheorComputSci. 2004, 6: 191-214.Google Scholar
- Griffith OL, Melck A, Jones SJ, Wiseman SM: Meta-analysis and meta-review of thyroid cancer gene expression profiling studies identifies important diagnostic biomarkers. J Clin Oncol. 2006, 24 (31): 5043-5051.PubMedGoogle Scholar
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