Abstract
Aging, the process of growing old is largely characterized by gradual deterioration of normal cellular functions, leading to progressive and steady decline in the biological, physical and psychological abilities. The phenomenon of aging is genetically determined and environmentally modulated. This is one of the most common yet mysterious aspects of biological studies, even after being a subject of interest to humans since the beginning of recorded history. Moreover, precise molecular basis of aging remains poorly understood, in part, because we lack a large number of molecular markers which could be used to measure the aging process in specific tissues. Moreover, limitations of human genetics and associated ethical issues further make it difficult to identify or analyze candidate gene(s) and pathways in greater details, and with the fact that the basic biological processes remain conserved throughout phylogeny; model organisms from bacteria to mammals have been utilized to resolve different aspects of aging. Classical model system such as Drosophila melanogaster has emerged as an excellent system to elucidate essential genetic/cellular pathways of human aging, due to its short generation time, availability of powerful genetic tools and functionally conserved physiology. Several key cellular events and signaling cascades have been deciphered by utilizing Drosophila as system of aging research and continues to add novel insights into this complex process. Present article attempts to introduce Drosophila as a model system for aging studies and also provides a brief overview of its decades of contribution in aging research.
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1 Introduction
Aging is not a passive activity, but an actively regulated complex process or collection of gradual senescence processes at both physiological and cellular levels. Some of the most prominent characteristics of aging include progressive decrease in physiological capacity, reduced ability to respond adaptively to environmental stimuli, increased vulnerability to infection and complex diseases and, increased mortality. Aging at large, is genetically determined and environmentally modulated. Aging activates some irreversible series of biological changes that inevitably result in death of the organism. Although, the causes of these changes may be entirely unrelated in different cases implying no common mechanism, yet they often imply a mutual element of descent. Therefore, aging is one of the most common yet mysterious aspects of biological studies, even after being a subject of interest to human race since the beginning of recorded history.
Decades of research on aging has found several genes and many biological processes those are associated with them; however, several fundamental questions continue to be intensely debated. Some of such unanswered questions are: (i) How many biological processes contribute to aging? What are they? (ii) Is it possible to reverse the phenomenon of aging? (iii) Can a single gene mutation recapitulate all the aging induced consequences? Also, the molecular basis of aging remains poorly understood, in part, because we lack a large number of molecular markers of aging which can be used to measure the aging process in specific tissues. Thus, unravelling the mysteries of aging is still on the frontier of biomedical research.
The last two decades have witnessed a tremendous upsurge in the genetic analyses of aging, with a greater emphasis towards the elucidation of the molecular mechanisms, pathways, and physiological processes implicated in longevity. Since the limitations associated with human genetic studies make it difficult to identify or analyze candidate gene(s) and pathway(s) in greater details, and with the fact that the basic biological processes remain conserved throughout phylogeny, model organisms from bacteria to mammals have been utilized to resolve different aspects of aging. However, classical model systems such as Caenorhabditis elegans and Drosophila melanogaster have emerged as excellent systems to elucidate essential genetic/cellular pathways of human aging. Drosophila particularly, holds tremendous promise for identifying genes and to decipher other mechanisms which influence age-related functional declines. Some of the major advantages associated with Drosophila have been discussed below:
2 Drosophila melanogaster as a Model Organism for Aging Research
D. melanogaster, commonly known as “fruit fly” is one of the most studied organisms in biology, particularly in genetics and developmental biology (Fig. 1a). Some of the major advantages of using Drosophila for aging related studies include its short life span of 50–70 days, high fecundity (female lay up to 100 eggs per day), availability of powerful genetic tools, accessibility of stocks with many different alterations, knowledge of the complete genomic sequence and large homogeneous populations. In addition, ease of culturing and affordability of maintaining large populations within the confines of a laboratory further makes flies a remarkable model organism (Fig. 1b). Besides, absence of meiotic recombination in males and presence of balancer chromosomes allow populations of flies carrying heterozygous mutations to be maintained without undergoing any constant screening for the mutations. Moreover, completely sequenced and annotated genome distributed on four chromosomes makes Drosophila a well acceptable system to perform large-scale genetic screens for identification of potential modifiers of aging and disease related phenotype(s). One of the striking features of Drosophila is the existence of morphologically distinct developmental stages which includes embryonic, larval, pupal and adult phase (Table 1); thus, the sexually matured “aging” adults phase could be easily distinguished in the developing population. In several model organisms, it is not so conventional to visually distinguish the mature aging adults form immature or juvenile stage. Depending upon the temperature, Drosophila life cycle varies. Details of the different generation time corresponding to different temperature have been provided in the Table 2. Since anatomy and developmental process of Drosophila have been well worked out and therefore, creating environmental and genetic manipulations which alter aging dynamics and life span could be easily performed and scored. Besides, availability of the large number of mutants and transgenic lines at several Drosophila stock centers further makes it a popular model organism (Dietzl et al. 2007; Ryder et al. 2007).
Similarity of different genes and families which are structurally and functionally related in both Drosophila and mammals, makes flies a good model in human based research. It is increasingly clear now that Drosophila genome has approximately 75 % of known human disease genes and ~50 % of proteins have mammalian homologs (Reiter et al. 2001). Moreover, the adult fly harbors a well-coordinated sophisticated brain and nervous system, which makes it capable of exhibiting complex behaviors such as learning and memory, much like the human brain (Jones and Grotewiel 2011). Disruption of such well-coordinated motor behaviors leads to neuronal death and dysfunction. Mammalian aging related phenotypes such as locomotory and sensory impairments, learning disabilities, sleep like behavior etc. are well manifested in Drosophila (Jones and Grotewiel 2011). Drosophila lack a functional blood brain barrier which could otherwise prevent access of drugs to the tissues of central nervous system; as a result flies become extremely useful for pharmacological screening for identification of novel therapeutic drug targets (Jones and Grotewiel 2011). Interestingly, the response towards many drugs that has shown effects within the Drosophila CNS is quite similar as observed in mammalian systems (Wolf and Heberlein 2003; Pandey and Nichols 2011).
Drosophila provides powerful genetic tools which can easily manipulate gene expression in a tissue specific manner during various stages of life cycle. UAS-Gal4 system is a commonly used genetic tool to achieve ectopic expression of desired genes or to suppress the expression of a target gene by UAS-RNAi transgene (Brand and Perrimon 1993). Additionally, FLP-FRT system, a site- directed recombination technology, has been progressively used to manipulate the fly genome in vivo, under controlled condition (Theodosiou and Xu 1998). Utilizing this technology loss-of-function of any lethal gene can be easily studied in a given target organ in a spatially controlled manner, in the cases where model organism would not survive as a result of loss of this gene in other organs. The effect of altered gene can also be studied over time, by using an inducible promoter to trigger the recombination activity late in development. This prevents the genetic alteration from affecting overall development of the organ, and also allows single cell comparison of the one lacking the gene to normal neighboring cells in the same environment.
In comparison to other model systems, a few additional advantages offered by Drosophila for aging studies include presence of almost fully differentiated post-mitotic cells throughout the adult fly, representing synchronized aging (Arking 1991). Enlightening the first aspect, the instigation of adulthood in Drosophila is said to occur only after the fly ecloses out of the pupal case. During this stage of its life, it becomes sexually mature and competent to reproduce and thus, aging is thought to be initiated (Shaw et al. 2008). This is in great disparity with other model systems where it is often difficult to find out when the organism has attained maturity (Helfand and Rogina 2003a). The second aspect has been focused on the rarely dividing neurons of the brain which makes the Drosophila brain an excellent model for the cytological studies and to relate with human aging (Herman et al. 1971). Hence, aging related structural changes could be easily and conclusively deduced by observing a set of synchronously aging cells. Moreover, due to the absence of blood vessels in insect brain, the pathological changes due to blood vasculature can be debarred. In view of above noted advantages, Drosophila has been widely utilized to decipher various aspects of aging. A brief overview of the history of Drosophila aging research has been provided below.
3 History of Drosophila Aging Research
For the first time Thomas H. Morgan used the small invertebrate, Drosophila melanogaster, to write the purpose of his research and this marks the beginning of an era of groundbreaking research utilizing this system in his “fly room” at Columbia, USA. This led to the discovery of the ‘chromosomal theory of inheritance’ and he was eventually awarded Nobel Prize in 1933 for his excellent finding. Following this, the researchers have come a long way in terms of exploiting the powerful genetics offered by this tiny fruit fly. Remarkably, Loeb and Northrop in 1916 reported the first use of Drosophila as a model system to study aging. They performed several experiments to demonstrate the effects of temperature and food on fly longevity (Loeb and Northrop 1916). They concluded that longevity of flies as poikilothermic organisms depends on the temperature of the environment (Loeb and Northrop 1916). In addition, they also examined the effect of starvation and sugar concentration on fly longevity (Loeb and Northrop 1917). Subsequently, Pearl and co-workers demonstrated that longevity in flies is hereditable (Pearl and Parker 1921, 1922). Consistent to Pearl’s finding, the significance of genetic influence in regulation of life span of adult flies was further reported by Clark and Gould in 1970. By utilizing Drosophila as a model system, several small compounds such as biotin, pyridoxine and pantothenic acid were identified which extend the life span upon regulated feeding (Gardner 1948). The effect of reproductive behavior on aging has been a topic of aging research since middle of 20th century when J. Maynard Smith and colleagues reported that longevity of flies could be affected by changing their reproductive behavior (Smith 1958). Their studies had established Drosophila as a good model system to study the fitness trade-offs and life span (Smith 1958). Since then, the mechanistic correlation between reproduction and longevity has been a topic of great interest in the aging research. Consistently, the plasticity behaviors between fly longevity and reproductive output was further confirmed by the selection experiments performed in the 1980s, which showed that longevity could be significantly extended when female flies were selected for late-life fertility (Rose and Charlesworth 1980, 1981; Luckinbill et al. 1984; Luckinbill and Clare 1985). Michael Rose has reviewed the history of laboratory-based evolution experiments and the use of different genomic technologies to comprehend genetics of longevity in Drosophila (Rose and Charlesworth 1980, 1981). Interestingly, independent studies performed during end of 20th century led to identification of two different life extending mutations, the Methuselah (mth) and I’m not dead yet (Indy) by performing random genetic alterations. It was demonstrated that partial loss-of-function mutation in either mth or indy extend the life span in both male and female flies, without loss of fertility (Lin et al. 1998; Rogina et al. 2000). In modern era of aging research, in addition to classical approaches several contemporary approaches and novel strategies are being adopted to decipher the mechanistic in-depth of aging and longevity. Some of the popular genetic approaches include selective breeding, mutagenesis followed by forward genetic analysis, cellular and molecular genetics and QTL analysis (Jazwinski 2000). These methods, so far, have allowed identification of numerous genes involved in diverse cellular functions including aging and longevity in Drosophila. Table 3 provides a brief collection of some genes and their assigned function(s) which have been found to be associated with longevity in Drosophila. An overview of various methods and approaches related to Drosophila aging research have been provided below.
4 Evaluating Aging in Drosophila: Methods and Approaches
Over the past decades understanding the complex mechanisms underlying the process of aging has emerged as a great frontier of biomedical research considering not only the welfare of humankind but also to overcome the challenges associated with this complex biological phenomenon. As discussed above, aging is a process of progressive, irreversible changes at the molecular and cellular level, which results in the decline of organismal performances. The stereotypic/phenotypic changes which are associated with aging in most of the organisms are the result of the changes at molecular, physiological and cellular levels. Therefore, due to the fact that aging follows the normal laws of chemical, physical and several of the complex biological phenomenon; combined efforts of molecular, genetics, physiological, anatomical and behavioral approaches have been used to assess the mysteries behind aging. In the following text, details of the different approaches which have been used to assay the process of aging in Drosophila have been discussed.
4.1 Assessing Life Expectancy
It is difficult to measure how an individual changes with age, but demographic assay such as age of the dead individuals in a cohort can be easily measured. Even though the age of the dead individual does not provide any direct information on what causes death, it does signify some important aspects of the aging process including the stochastic nature of the life span and relationship of mortality to age. In contemporary Drosophila aging research, determination of life span and progression of aging is performed and compared by analyzing survivorship curves. Figure 2 provides a representative survivorship graph of aging over time in wild type and a symbolic mutant strain of Drosophila. Assuming the fact that shortening or lengthening of life span of an organism is the result of relative aging, comparative analyses among mean, median and maximum life span of different populations under different conditions could be treated as one of the factors to measure aging process. Considering the primary potential role of life span assay in aging research, it is also important to consider the interventions such as genetic and environmental factors during the analysis because in Drosophila a mild change will affect the age of the individuals.
4.2 Behavioral Assay
Several of the behaviors including locomotor activities, circadian rhythm, sleep patterns and even cognitive functions can be quantitatively assessed in Drosophila and functional deficits could be clearly observed and recorded in aging adults. Behavioral activities of Drosophila could be studied with two widely used simple methods, i.e. Rapid Iterative Negative Geotaxis (RING) and Drosophila activity monitoring (DAM) system (Nichols et al. 2012; Sun et al. 2013). RING is one of the most commonly used systems to assess the locomotor behavior of flies. Taking the advantage of inherent negative geotaxis response of the flies, this assay records the climbing ability of the flies against the gravity on the wall of empty vial after being tapped on the bottom of the container. Aging studies in Drosophila had reported gradual decline in the locomotor activities in almost all the species that have been studied (Iliadi and Boulianne 2010). The functional decline in the locomotor activity of the flies with age in wild type and in a symbolic mutant strain is depicted in Fig. 3. In the case of DAM based analysis, flies are kept individually in sealed activity tubes of DAM system and activity of the fly is measured based on the frequency of the event recorded each time a fly breaks an infrared light beam across the middle of the activity tube (Pfeiffenberger et al. 2010). It is mostly used to study circadian rhythm, sleep patterns, hypo and hyperactivity of flies. Moreover, more sophisticated video based tracking systems have been developed to analyze various fly behaviors including movement pattern, courting behavior etc. (Branson et al. 2009).
4.3 Assessing Aging on the Basis of Dietary Composition
Similar to other organisms, major environmental factors such as diet or food has a huge impact on the lifespan in Drosophila (Tatar et al. 2014). Thus, calorie or dietary restriction based studies is also among the important methods used to study aging in flies. Dietary restriction, by diluting all or specific components of food ingredients has two important impacts on physiology of flies: life span extension and reduction in the reproductive ability (Partridge et al. 2005). Intriguingly, studies based on dietary restriction allowed discovery of some fundamental regulators of aging (Partridge et al. 2005). It has been found that dietary restriction mediated life span extension is primarily controlled by some major metabolic pathways such as insulin/IGF-1 signaling, TOR (Target of Rapamycin) pathway etc. (Partridge et al. 2005). Studies on the effect of dietary restriction on aging and longevity have contributed enormously in understanding the in-depth of aging related pathways and their mechanistic details. Taken together, the powerful molecular genetic system present with Drosophila allows dissecting out the relationship between food intake, its utilization and its potential impact on the life span of the organism.
4.4 Reproductive Output: Measure to Evaluate Aging
Measurement of the lifetime reproductive output is another aspect of lifespan related physiological assay. The concept “cost of reproduction” in aging signifies a negative correlation between reproductive output and longevity of the organism (Tatar 2010). To measure the reproductive output of the flies, lifetime egg production in once mated female or number of progeny from the mating of male and female are measured. Selection experiments in Drosophila has resulted selection of long lived flies with decreased early reproduction and selection of the late life reproduction leads to the identification of lines with increased life span; moreover, long lived mutant females have reduced fecundity or fertility (Iliadi et al. 2012). Considering the cost of reproduction in Drosophila system, virgin/sterile females live longer than fertile control ones and fertile flies with increased reproduction results in increased susceptibility to stress (Salmon et al. 2001). The reason behind the extended life span with reduced reproduction may be probably the energy cost from lower or delayed egg production, as well as reduced cost of mating.
4.5 Stress as a Measure to Study Aging
Certain environmental stresses such as oxidative stress, starvation, crowded culture condition, heat or cold shock etc. have profound effect on aging and can be evaluated in Drosophila. According to the free radical theory of aging, an accumulative damage to the major biological macromolecules is the result of increasing level of cellular Reactive Oxygen species (ROS) (Harman 1992). In Drosophila system also, measurement of resistance against different stresses is another widely used method to study aging. Survival in the presence of a strong oxidizing agent like Paraquat (N,N′-dimethyl-4,4′-bipyridinium dichloride), an organic compound widely used as herbicide has been used to assess resistance against stress (Vermeulen et al. 2005). Paraquat feeding in flies induces various ROS and consequently, due to increased oxidative damage survival of flies declines. Starvation resistance is another interesting aspect which has been found to extend life span in Drosophila as it deals with their ability to manage with energy shortage (Minois and Le Bourg 1999). Moreover, stresses such as extremes of temperature have significant impact on Drosophila aging as both adversely affect their survival and life span (Minois and Le Bourg 1999).
4.6 Aging Analysis Utilizing Genetic Approaches
Since 1920 when Pearl’s studies demonstrated for the first time that longevity in flies is heritable, genetic approaches remain as invaluable method for identifying the physiological mechanism of aging process. It includes alternation of single genes and careful analysis of the resultant phenotypes which affect the longevity and behavioral response of the flies. This method can be adapted to confirm any of the existing hypotheses based on the candidate gene approach or to explore new genes using the random gene alternation approach (Helfand and Rogina 2003b). In Drosophila system, a number of genetic approaches have been developed to generate mutation and to manipulate gene expression for aging studies. Some of such popular approaches include insertional mutagenesis by P-element, gene expression alternation by UAS-Gal4 system, inducible gene expression by Gene-switch Gal4 (GSG-UAS system) and gene knockdown by RNA interference (RNAi) strategy (Sun et al. 2013).
5 Contribution of Drosophila in Excavating Molecular and Genetic Mechanisms of Aging
As discussed earlier, Drosophila has been extensively utilized to unravel the molecular and genetic aspects of aging and longevity. In addition to genetic factors, environmental stresses which deteriorate cellular functions are largely known to be instrumental in instigating the process of aging. Therefore, several approaches have been undertaken to modify the genetic makeup of flies to promote extension of life span by modulating the cellular response to environmental stresses. Some of them have been briefly addressed in following texts:
5.1 Oxidative Stress
About a century ago the observation that animals with higher metabolic rates generally exhibit shorter life span led to the foundation of “Rate-of-living Hypothesis”; though the mechanistic association between metabolic rate and life expectancy was unknown during that period. Interestingly, in contrast to this theory, some species don’t exhibit any strict inverse correlation between metabolic rate and longevity, particularly in birds and primates (Finkel and Holbrook 2000). In 1956, Denham Harman proposed mechanistically stronger theory of aging known as “Free-radical theory of aging”; according to which cumulative oxidative damage to biological macromolecules, brought about by ROS over the time results in deterioration of cellular function and stability, which ultimately act as a driving force for progression of aging (Harman 1956; Yadav et al. 2015). It was a decade later when enzyme superoxide dismutase (SOD) (enzyme with sole function of degeneration of superoxide anions) was discovered and first compelling evidence in the support of Harman’s theory was presented (McCord and Fridovich 1969). Later in 1985 extensive research in redox biology concept of oxidative stress was used to symbolize the damage incurred in biological systems due to excessive ROS production and/or inadequate antioxidant defense (Sies and Cadenas 1985). Subsequently, the free-radical theory of aging was revised to the Oxidative stress theory of aging which subsequently emerged as the most persuasive theory in aging research (Pérez et al. 2009). A great deal of research work was performed to substantiate this theory but the results were inconsistent and partially challenging as well (Lapointe and Hekimi 2010). However, large number of findings from various organisms including Drosophila is reminiscent that decline in oxidative stress level is directly associated with increased life expectancy (Bokov et al. 2004). Therefore, intricate balance in the production of oxidants along with the capability of the organism to counteract the oxidative stress is critically linked to the progression of aging.
D. melanogaster has been widely used at the forefront to examine the oxidative stress hypothesis. The elementary idea behind such studies reside on the assumption that factors which aid in decreasing oxidative stress should have beneficial effects against aging and hence should result in enhancement of life expectancy. In support to this claim, linear correlation between oxidative stress resistance and longevity has been found in Drosophila utilizing various strains (Dudas and Arking 1995). In such cases, strains with extended life span exhibited either higher resistance to oxidative stress or had enhanced level of antioxidant enzymes (Dudas and Arking 1995; Harshman and Haberer 2000). For instance, reduced function of Methuselah (mth) gene which is a G-protein coupled receptor results in increase in life span. P-element insertion line of mth enhances longevity of the flies by approximately 35 % (Lin et al. 1998). In addition to increase in life span, this gene also provides tolerance against several stresses including high temperature, dietary paraquat (intracellular free radical generator) and starvation (Lin et al. 1998). Though, the explicit function of the mth is still unknown but it has been proposed to be involved in transmitting cues for regulating stress response pathways (Lin et al. 1998). Figure 4 attempts to provide a schematic representation of various signaling cascades which are known to modulate aging and longevity in D. melanogaster.
Relationship between oxidative stress tolerance and longevity has been tested in Drosophila by overexpressing antioxidant genes, utilizing transgenic approaches. Increase in the expression of glutathione reductase (GSH) antioxidant enzyme (involved in formation of reduced glutathione) results in high level of oxidative stress tolerance and prolonged life span in flies exposed to hyperoxic conditions, though no effect on the longevity was observed when the flies were reared at normoxic condition (Mockett et al. 1999). In addition, it has also been demonstrated that decrease in expression of antioxidant enzymes such as superoxide dismutase (SOD) (scavenges superoxide anion radicals) and catalase (involved in eradication of H2O2), shortens the life span indicating the significance of ROS detoxification on life expectancy (Phillips et al. 1989; Phillips and Hilliker 1990; Missirlis et al. 2001; Kirby et al. 2002). However, in this context it is also important to note that since the mutation was prevalent even during the fly development, and therefore, a decrease in life span could also be partially attributed to the damage accumulated during development and might not be solely due to oxidative stress. To overcome this discrepancy, studies were focused on increasing the fly expectancy by overexpressing the antioxidant enzymes. In this respect numerous studies displayed higher oxidative stress resistance and modest enhancement in life span, either by combined overexpression of SOD and catalase or SOD alone (Orr and Sohal 1994; Parkes et al. 1998; Sun and Tower 1999). A noteworthy report in these findings was 40–50 % increase in life span by overexpressing human SOD in motor neurons of fly (Parkes et al. 1998). Achieving modest increase in life span by overexpression of antioxidant enzymes supports oxidative stress theory of aging. However, on the other side some studies reported slight or insignificant enhancement of oxidative stress resistance and life span by overexpression of SOD (Seto et al. 1990; Orr and Sohal 1993). However, the root cause of these inconsistencies is largely unknown.
5.1.1 Proposed Mechanisms of Oxidative Stress Mediated Aging
Mitochondria being the principle source of energy in cell via aerobic respiration consume majority of the cellular oxygen and therefore, are the prime source of ROS. Irrespective of source or how ROS is generated inside a cell, enhanced level of oxidants broadly effect organisms by incurring oxidative damage to cellular components and/or by eliciting the activation of oxidative stress responsive signaling cascades. Prevalence of these phenomenon due to oxidative stress over continuous periods of time stimulates aging associated cellular processes (Finkel and Holbrook 2000). A brief overview of the above aspects have been discussed below:
5.1.1.1 Oxidative Damage to Cellular Components Due to Enhanced Level of ROS
An enhanced level of ROS causes oxidative damage to all the macromolecules (nucleic acids, proteins and lipids) present in a cell. Progressive accumulation of damaged macromolecules contributes to imbalance in cellular homeostasis, thereby instigating aging process (Le Bourg 2001). Interestingly amongst all the cellular organelles, mitochondria in spite of being the major source of ROS, are also the key targets of oxidants. Moreover, due to the close proximity of mitochondrial elements to ROS production site, they are more susceptible to the damage by ROS. Further, lack of histone protection and repair mechanism in mitochondrial DNA aggravates their susceptibility to ROS mediated damages. All this cumulatively results in mitochondrial dysfunctioning and has been profoundly linked to manifestation of aging progression (Sohal 2002; Wallace 2005; Yadav et al. 2013).
There have been several studies carried out in Drosophila where correlative data on age associated changes in the structure and functions of mitochondria, are suggestive of the idea that gradual mitochondrial dysfunctioning is associated with aging process (Wallace 2005). One such study investigating the effect of aging on Drosophila flight muscles reported a specific reorganization of mitochondrial cristae under oxidative stress, with aging (Walker and Benzer 2004). Aging induces local rearrangement of the cristae in a “swirl” like pattern in individual fly mitochondria (Walker and Benzer 2004). Rapid and extensive accrual of the same pathological condition was witnessed even in young flies under the condition of severe oxidative stress. From functional aspect of this pathological condition, cristae associated with swirling pattern were found to have reduced enzymatic activity of cytochrome c (COX) or complex IV, which is an important respiratory enzyme present in mitochondria. Furthermore, occurrence of swirls is accompanied by alteration in the structural conformation of the cytochrome c and extensive apoptosis of the cells present in the tissue of flight muscles in Drosophila (Wallace 2005; Cho et al. 2011).
Electron transport chain (ETC) occurring in mitochondria is one of the most vital processes which is essential for cellular homeostasis; primarily because this process is associated with energy production in the cell. A comprehensive study examining the ETC functioning with aging in Drosophila reported a decrease in several aspects of ETC such as electron transport and respiration with gradual increase in aging (Ferguson et al. 2005). Interestingly, compared to the other mitochondrial ETC enzymes which were examined, age-associated reduction was predominantly found in the activity of COX (Ferguson et al. 2005). Also, drug mediated inactivation of COX in mitochondria obtained from young flies result in enhanced ROS production. These observations suggest that ROS induced mitochondrial impairment results in further enhanced production of ROS which exaggerates the mitochondrial damages, forming a “vicious cycle” and thereby acting as driving force in aging and age associated impairments (McCarroll et al. 2004).
5.1.1.2 ROS Mediated Activation of Oxidative Stress Response Signaling Cascades
Oxidative stress triggers activation of several signaling cascades such as extracellular signal-regulated kinase (ERK), p38 mitogen-activated protein kinase (MAPK), p53 activation, nuclear factor (NF)-kB signaling cascade, c-Jun amino-terminal kinase (JNK), the phosphoinositide 3-kinase (PI(3)K)/Akt pathway etc. (Fig. 4) as a mechanism to combat stress (Finkel and Holbrook 2000). Amongst them, JNK pathway activated by ROS or other stimuli has been recognized as an evolutionarily conserved cascade which can potentially increase life span in flies by triggering protective gene expression program to alleviate toxic effects of oxidative stress (Wang et al. 2003; 2005).
In vertebrates, each components of JNK pathway is represented by huge gene families; however in Drosophila, JNK signaling is significantly less complicated thereby making its genetic analysis much simpler than other model organisms (Fig. 4) (Johnson and Nakamura 2007; Igaki 2009). JNK pathway is a part of MAPK signaling cascade which in Drosophila constitutes several JNK kinase kinase (JNKKK) [i.e. TGF-β Activated Kinase 1 (TAK1), Mixed Lineage Protein Kinase 2/Slipper (MLK), MEK Kinase1 (MEKK1) and Apoptotic signal-regulating Kinase 1 (ASK1)], two JNK kinase (JNKK) [i.e. Hemipterous (Hep) and dMKK4)] and one JNK [Basket(Bsk)] (Boutros et al. 2002; Chen et al. 2002; Geuking et al. 2009; Biteau et al. 2011). Activation of the pathway by stress stimuli including ROS results in activation of transcription factors AP-1 and dFoxo (Drosophila forkhead transcription factor) by Bsk phosphorylation which instigates changes in gene expression resulting in stress specific cellular response. JNK pathway is regulated by negative feedback loop where puckered (puc), one of the target gene of AP-1, dampens JNK signaling by its specific JNK phosphatase activity (Wang et al. 2005; Biteau et al. 2011). Studies in Drosophila revealed that either reduction in the dosage of puc gene product or overexpression of JNKK/Hep in neuronal tissues enhances basal JNK signaling levels resulting in heightened oxidative stress tolerance and increased life span (Zeitlinger and Bohmann 1999; Wang et al. 2003). Along the same lines, mutant flies for JNKK/Hep gene displayed higher sensitivity towards oxidative stress and were observed incapable of eliciting JNK signaling dependent transcriptional factor induced stress response (Fig. 4) (Wang et al. 2003).
It has been demonstrated that availability of dFoxo transcription factor is essential to achieve JNK signaling mediated increased longevity in Drosophila. There is an antagonistic relationship between JNK and insulin/insulin-like growth factor (IGF)-like signaling (IIS) pathways (Wang et al. 2005). JNK inhibits IIS both cell autonomously and systemically (endocrine mechanism) to control life expectancy in Drosophila. Cell autonomously, JNK inhibits IIS by promoting nuclear localization of dFoxo, inducing transcription of genes involved in growth control, stress defense and damage repair (Wang et al. 2005; Hotamisligil 2006; Biteau et al. 2011). JNK inhibits IIS signaling systemically by repressing the expression of IIS ligand, Drosophila insulin-like peptide (dilp2) in insulin-producing neuroendocrine cells present in the fly brain (Karpac and Jasper 2009; Wang et al. 2005). Therefore, dFoxo and dilp2 dependent antagonistic relationship between JNK and IIS fairly explains the effect of oxidative stress on aging phenomenon.
5.2 Molecular Chaperones
As discussed earlier, aging is a complex process involving both genetic and non-genetic factors. In natural populations, several of the environmental factors including extreme temperatures, starvation, oxidative stress and other stresses etc. influence the survival capacity of organisms. Life span of an individual is the ability to withstand against these stresses which result in irreversible cellular damages; therefore, longevity of the organism is largely determined by the stress response of the individual. According to several proposed theories, aging is the result of an imbalance between damage and repair of cellular macromolecules (Vijg 2008), and moreover, with increasing age the response of the organism and its cells towards such damage tends to decline (Campisi and Vijg 2009). Generally, proteins are particularly more subjected to aging-related damages, including cleavage of the polypeptide chain, covalent modification of amino acid side chains, oxidative lesions, crosslinking, and denaturation (Stadtman 2006). Therefore, correct synthesis, proper folding of nascent and denatured protein, and turnover of proteins become one of the most crucial functions in cellular physiology, and failure of the stringent regulation of the cellular protein quality control system results in proteotoxicity, which is a key component of aging and aging related diseases (Morimoto and Cuervo 2009). Cellular protein quality control system is a combined network of molecular chaperones and their regulators, the ubiquitin-proteasome system (UPS) and autophagy system, allowing the proper folding, timely removal of the misfolded and aggregated proteins (Chen et al. 2011; Amm et al. 2014). Interestingly, despite of the unclear molecular mechanism(s) of aging process, increase in the damage of cellular macromolecules including proteins, nucleic acids, lipid etc. due to the upsurge of cellular oxidative stress stands one of the most accepted theories of aging. Aging dependent progressive accumulation of abnormal mitochondria in several Drosophila tissues further supports the view of increased production of ROS with advancing age (Walker and Benzer 2004; Chistiakov et al. 2014). It appears that with increased oxidative stress and reduction in ATP synthesis, mitochondrial dysfunction stands as one of the core reasons behind aging related abnormal protein creation and accumulation.
Since the time heat shock response and genes encoding for molecular chaperones were discovered for the first time in Drosophila, the functions of these proteins, their regulation in heat shock response and their potential correlation with aging and longevity has been a topic of immense interest (Ritossa 1962, 1996). Despite their constitutive expression during normal homeostasis, molecular chaperones are also known as stress proteins or Heat shock proteins (Hsps) because of their induced expression during stress condition(s). Based on the sequence conservation and molecular weight, Hsps have been divided into several families. Conventionally, principal Hsps range in molecular mass from 15 to 110 kDa which are grouped into 5 major families, viz. Hsp100 (100–104 kDa), Hsp90 (82–90 kDa), Hsp70 (68–75 kDa), Hsp60 (58–65 kDa) and the small Hsp (15–30 kDa) (sHsps) families (Sarkar et al. 2011). Similar to other organisms, Drosophila also harbors homologs of the Hsp families which include Hsp83 (Hsp90), Hsp/Hsc70 complex (Hsp70 family), Hsp60, Hsp40 and sHsp (Hsp22, Hsp23, Hsp26 etc.) (Morrow and Tanguay 2003). In addition to its role in assisting denovo folding of the nascent polypeptide chains, Hsps are also defined by their ability to bind and refold the denatured proteins (Morrow et al. 2006). Therefore, induced expressions of Hsps are found in response to stresses that cause protein denaturation, such as heat and oxidative stresses (Morimoto 2008). Expression of the Hsps is mediated by binding of heat shock transcription factor (HSF) to heat shock response elements (HSEs) localizing at promoters of the heat shock genes, and activates their high-level transcription (Voellmy 2004). Interestingly, subsets of heat shock genes are also induced by oxidative stress through the JNK pathway and the transcription factor dFoxo (Wang et al. 2005).
During development and throughout the life span of Drosophila; Hsps, especially sHsps exhibit well-regulated, distinct and stage specific expression dynamics, though, upon exposure to environmental stresses like heat, Hsps shows upregulated expression (Morrow and Tanguay 2003). Interestingly, definite role of Hsps in aging and increased sensitivity of the aged flies to environmental stress have emerged from the comparative analysis of the heat shock response between young and old flies (Fleming et al. 1988). Comparative analysis of the expression profile of old and young flies revealed a greater abundance of damaged proteins in the old flies. Interestingly, detection of the same set of induced proteins in young flies fed with canavanine (an arginine analogue used to mimic accumulation of damaged proteins) as otherwise found only in old flies suggests increased sensitivity due to accumulation of aging mediated damaged proteins (Fleming et al. 1988; Niedzwiecki et al. 1991). Consistent to the above conclusion, even in unstressed flies, enhanced expression of Hsps has been found during normal fly aging in tissue-specific patterns (Morrow and Tanguay 2003). For instance, up-regulation of hsp22 and hsp70 at both, RNA and protein level while hsp23 at RNA level could be observed during normal Drosophila aging (Morrow and Tanguay 2003). With the aim of elucidating transcriptional changes accompanying the aging process, studies based on genome wide gene profiling in Drosophila have revealed aging associated upregulation of Hsps in aged flies (Curtis et al. 2007; Pletcher et al. 2002; Zou et al. 2000). Interestingly, dramatic upregulation of subset of Hsps including Hsp70 and sHsps and the genes for innate immune response was reported in old flies, in contrast, down-regulation of genes involved in energy synthesis and electron transport chain was found in same set of flies (Curtis et al. 2007; Pletcher et al. 2002; Zou et al. 2000). Moreover, extensive overlap between the gene expression profile of aged flies and young flies exposed to oxidative stress, further suggests the potential relationship between aging and oxidative stress (Zou et al. 2000).
The beneficial effect of Hsps on longevity is also evident from mild stress experiments known as “hormesis” in Drosophila, which activates the stress response without causing cellular damages (Minois 2000). Exposing the organisms to sub-lethal stress, induces hormetic effect through the modulation of heat shock response and helps the animals to live longer by counteracting negative effects of aging (Minois 2000). Besides, young adults of Drosophila strains with increased life span also exhibit intrinsic increased expression of sHsps, further suggesting that enhanced expression of Hsp might have a role in favoring longevity (Kurapati et al. 2000). Consistent to the above observation, mutation in hsp70 or hsp22 shows reduction in the adult fly survival, and these mutants with decreased lifespan also become more sensitive to stress. The role of Hsps in longevity was further confirmed by HDAC inhibitors mediated enhanced expression of hsp70 and sHsp, which in turn increase the life span of adult flies (Zhao et al. 2005). Remarkably, several of the independent studies have revealed decreased survival of the flies against heat and other stresses in the Drosophila mutants of hsp22 (Morrow et al. 2004a) and all six copies of the hsp70 (Gong and Golic 2006). In addition, hsp83 mutant flies become more sensitive to the toxic effects of stresses like sleep deprivation (Shaw et al. 2002).
Interestingly, unlike the sHsps, major Hsps like Hsp70, Hsp60 etc. have failed to demonstrate any substantial effect on longevity, except reduced mortality rates upon mild stress, enhanced heat tolerance and a small increase in overall life span (Tatar et al. 1997; Minois et al. 2001). Among several of the sHsp in Drosophila, four of the sHsps i.e. Hsp27, Hsp26, Hsp23 and Hsp22 are well characterized and result in substantial life span extension upon tissue specific over-expression (Morrow and Tanguay 2003; Wang et al. 2003; Liao et al. 2008; Tower 2011). For instance, ubiquitous expression of Hsp22 in motor neuron increases the life span by 30 % and these flies exhibit increase resistance against stress and improved locomotor activity (Morrow et al. 2004b). Therefore, because of the ubiquitous nature of Hsps and its crucial role in variety of cellular processes by interacting with many different proteins, it can be concluded that the widespread outcome of aging is the consequence of the aging associated chaperone failure, and therefore, molecular chaperones itself represent one of the vital intrinsic components to govern the aging process in the living system.
5.3 Insulin/Insulin-like Growth Factor (IGF)-like Signaling (IIS)/TOR Pathway in Regulation of Longevity and Aging
The Insulin/insulin-like growth factor (IGF)-like signaling (IIS) pathway has been long known to serve an established role of regulating somatic growth and development (Butler and Le Roith 2001), reproduction (Netchine et al. 2011), stress resistance (Holzenberger et al. 2003), metabolic homeostasis (Vowels and Thomas 1992; Saltiel and Kahn 2001) and even in aging and longevity (Partridge and Gems 2002; Tatar 2003; Kenyon 2005) in most organisms. There has been substantial evidences which suggest that compromised IIS signaling by introducing mutation(s) in the component(s) of the IIS pathway increase lifespan. On contrary, mutations that tend to shorten lifespan, have been proposed to do so by introducing pathological changes in the cell rather than by speeding up the process of normal aging (Giannakou and Partridge 2007).
The IIS pathway was first elucidated in Drosophila as one of the major pathways regulating growth and size of cells (Leevers et al. 1996). However, a plausible link between IIS pathway and longevity originated from studies on C. elegans when daf-2 (a homolog of the insulin/IGF-1 receptor) mutants were found to extend lifespan (Kimura et al. 1997). Later, similar findings were reported in Drosophila when null mutants of insulin receptor substrate gene chico were found to be responsible for lifespan extension to as much as 48 % in homozygous female flies (Clancy et al. 2001). Interestingly, chico heterozygous female flies, though, exhibit an increase of 31 % in median lifespan, but their capacity to resist paraquat-induced acute oxidative stress was found more than their homozygous counterparts. As opposed to females, homozygous chico males are short-lived as compared to heterozygous males. Notably, long-lived homozygous mutants displayed higher levels of lipid and SOD activity (Böhni et al. 1999; Clancy et al. 2001; Kabil et al. 2007). Such contradictory observations, therefore, suggest that the trait of stress resistance may not contribute to the phenomenon of longevity via IIS signaling in flies. This can be justified by the fact that free radical generation and oxidative stress responses could be associated with a host of other reasons than just IIS signaling.
Another noteworthy IIS-linked mutation found to increase life span in Drosophila was that of the insulin like receptor (dInR). Adult flies with a mutated copy of the dInR gene tend to live longer than their wild type counterparts (Tatar et al. 2001). In this case as well, long-lived inr mutants exhibit higher triglyceride content and SOD activity. However, level of lipid content and SOD activity has also been found to be raised in some short lived mutants. In view of above, it may be postulated that in addition to increase in SOD activity and lipid levels, other pleiotropic effects are necessarily involved in fly longevity. Furthermore, reduced expression of Drosophila insulin-like peptides (dilps), the ligands for dInR (Grönke et al. 2010) or increased expression of dPTEN (Drosophila phosphatase and tensin homolog), the negative regulator of insulin pathway (Hwangbo et al. 2004), also results in lifespan extension. dPTEN was shown to be doing so by antagonizing the action of the signal transducer PI3K (phosphatidylinositol-3-kinase) leading to nuclear localization of dFoxo, which in turn downregulates the expression of tissue specific chaperones and dilps, thereby completing the loop. Interestingly, increase in lifespan by activation of JNK signaling in response to various stresses as discussed above, also mediates its effect via dFoxo. The mechanism that dFoxo follows in this case comprises at-least in part of reduced IIS, since upregulation of JNK signaling in brain median neurosecretory cells (MNCs) has been shown to be linked with reduced transcript levels of dilps 2 and 5 (Wang et al. 2005). This is an interesting finding owing to the fact that MNCs are the site of dilp 2, 3 and 5 in the brain. Moreover, low levels of dilp 5 and subsequent lifespan extension had also been demonstrated in flies subjected to dietary restrictions (Min et al. 2008). Moreover, upregulation of dFoxo itself has been found to increase lifespan in Drosophila (Giannakou et al. 2004).
Furthermore, dilp-producing MNCs in adult Drosophila brain that integrate external signals to the IIS have also been implicated in influencing longevity. Flies carrying ablated MNCs exhibited up to 33.5 % increase in lifespan which was however accompanied by an age-related reduction in egg laying capacity (Broughton et al. 2005). These flies also demonstrated enhanced levels of circulating glucose along with stored carbohydrates and lipids. They could also resist paraquat- and starvation-induced stresses more efficiently as compared to wild type, though such flies are more sensitive to heat and cold stresses (Broughton et al. 2005). In view of above findings, it may be postulated that some compensatory alterations of related pathways which interact with IIS might be needed in order to balance out the undesirable effects of reduced IIS, so that longevity can be increased without any fitness cost.
One of the major pathways that interact with IIS to regulate growth and longevity in Drosophila is TOR pathway (Oldham and Hafen 2003). Two major complexes instigate the TOR pathway—TOR complex 1 (TORC1) and TORC2. TORC1 is sensitive to rapamycin and is implicated in controlling the temporal aspects of growth within a cell (Um et al. 2006) whereas TORC2 is insensitive to rapamycin and is involved in controlling the spatial facets of cellular growth (Jacinto et al. 2004). Reduction in TOR signaling by ubiquitously upregulating dTsc1 and dTsc2, or expression of a dominant negative variant of TOR or expression of a mutated dS6K, a major downstream kinase of the TOR pathway, led to substantial increases in Drosophila lifespan (Kapahi et al. 2004). Moreover, rapamycin-mediated inhibition of TOR signaling was also shown to prolong lifespan in flies by as much as 10 % (Bjedov et al. 2010). Rapamycin has been suggested to do so by inactivating TORC1, and by lowering the rate of protein translation in the cell and inducing autophagy (Bjedov et al. 2010). Notably, the long lifespan of dtsc2 mutants cannot be further extended by subjecting the flies to caloric restriction (Kapahi et al. 2004). Thus, the mechanisms of life extension by inhibited TOR signaling and dietary restriction could be overlapping in nature.
Some of the most apparent evidences of interaction between the IIS and TOR pathway have been elucidated in Drosophila models of neurodegenerative disorders. Reduced activity of the IIS/TOR pathway has been found to suppress mutant proteins mediated neurotoxicity in a variety of neurodegenerative disease models (Hirth 2010). Though, the precise modulations required for IIS/TOR signaling to bring about neuroprotection remain elusive. It also remains uncertain whether specific modulations protect against specific forms of neurotoxicity or there is a common link between neuroprotection and IIS/TOR pathways.
5.4 Dietary Restriction
As mentioned earlier, dietary restriction is a phenomenon linked to increase in life expectancy by limiting the nutrient intake. The process of dietary restriction controlling aging is conserved across the species (Piper and Partridge 2007). Influence of dietary restriction on aging has been center of curiosity among the researchers for deciphering the underlying genetic and molecular mechanism(s) involved. One of the hypotheses to explain the role of dietary restriction on aging states that it reduces the body metabolic rate thereby decreasing ROS generation which in turn slows down the aging process. Though this ideology is consistent with the existing relationship between oxidative damage and aging but experimental validation is still awaited. However, several nutrient sensing pathways such as Sirtuin (Sir2) and TOR signaling which operate under indirect control of IIS signaling have been identified to be crucial for dietary restriction mediated life span enhancement.
Sir2 are the members of highly conserved protein family which act as NAD-dependent deacetylases and target both, histone as well as non-histone proteins. They have been implicated as one of the key mediators in dietary restriction triggered increased life expectancy (Dali-Youcef et al. 2007). Subsequently several studies have demonstrated that flies overexpressing dSir2 proteins have higher life expectancy (Rogina and Helfand 2004; Bauer et al. 2009). The maximum increase in mean life span in flies was 57 %, which was achieved by ubiquitous overexpression of dSir2 under the influence of tubulin-Gal4 driver (Rogina and Helfand 2004). Above studies highlight the conserved role of dsir2 in facilitating the favorable effect of dietary restriction on fly life expectancy.
Similar to Sir2, IIS and TOR signaling pathway have been well characterized in demonstrating their noteworthy contribution in fly aging process by coupling growth to nutrition (Tatar et al. 2001; Kapahi et al. 2004; Broughton et al. 2005). It has been proposed that mutants of these signaling pathways extend the life span primarily by slowing down the growth and rate of metabolism (Tatar et al. 2001; Broughton et al. 2005). Remarkably, it has been shown that reduction in life expectancy due to dFoxo mutation in flies can be compensated by dietary restriction, which further highlights the crosstalk between IIS and TOR pathway in regulating aging (Giannakou et al. 2008). However, despite availability of large information, the accurate role of TOR and dietary restriction in aging is still illusive and further investigations are expected to generate novel insights.
6 Aging and Neurodegeneration
Aging is one of the major risk factors for onset of brain related neurodegenerative disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD) etc. Neuronal loss, shrinkage of cell bodies and axons of neuronal cells and loss of synapse collectively leads to reduced brain volume and weight in aging individuals (Reiter et al. 2001). Subsequently, progressive deterioration of brain function leads to cognitive decline, memory loss, movement disorders and finally to functional decline and death. With a hastily increasing aging population and due to lack of effective treatment measures, these disorders have emerged as major economic and social burden. Therefore, in view of the fact that these disorders show substantial interference with aging; in-depth investigation on age-related molecular mechanisms or pathways may potentially help in developing novel therapeutic strategies.
Although, it appears quite rational to hypothesize that disease related proteins enhance disease toxicity by accelerating the aging process, however, it is still unclear whether aging related changes are responsible for driving neuronal pathology or both aging and disease associated proteins act synergistically to develop neuronal dysfunction. For instance, in C. elegans, mutation that extends longevity in poly(Q) disease reveals age dependent reduction in protein aggregate formation and toxicity, consequently testifying the effect of aging in poly(Q) mediated cellular dysfunction (Morley et al. 2002). Several reports including our own findings demonstrate progressive aggravation of poly(Q) mediated neurotoxicity in age dependent manner. Targeted expression of Htt-93(Q) in Drosophila eye exhibits cellular degeneration characterized by retinal depigmentation and cellular toxicity. Our studies on individual flies expressing Htt-93(Q) transgene during aging suggest that the magnitude of retinal depigmentation and cellular toxicity progressively increases with age (Fig. 5). Moreover, involvement of common signaling networks in longevity and mitigation of poly(Q) toxicity raises the prospect that slowing down aging may act as a neuroprotective measure. Therefore, in order to cultivate novel strategies to prevent onset and progression of such deadly disorders, it will be interesting to explore how aging dysfunction and poly(Q)mediated neuropathology are interlinked and how they interact during disease pathogenesis.
As stated earlier, all eukaryotic life forms have well evolved protein quality control machinery, which includes chaperone network, ubiquitin-proteosome and lysosome-mediated autophagy system. Stringency of these systems is essential for post translational modifications, protein folding, stress response and clearance/translocation of damaged proteins (Soti and Csermely 2003; Arslan et al. 2006). Induction and functional capacity of chaperones and cellular proteasome system gets distorted during aging and disease stress condition; therefore, the post mitotic neurons become susceptible to toxic protein aggregates and ultimately, leads to neurodegeneration. Therefore, it is not surprising that overexpression of Hsps ameliorates the neurotoxicity and age related cellular impairments. Overexpression of Hsp70 in Drosophila poly(Q) disease models suppresses neurotoxicity by restoring axonal transport, cell death and ultimately extends the life span (Muchowski and Wacker 2005). In addition, role of Hsp70 and Hsp40 in regulating poly(Q) aggregation and toxicity has also been demonstrated in poly(Q) models of S. cerevisiae, C. elegans and mouse (Muchowski et al. 2000; Cummings et al. 2001). Several mechanisms have been proposed to explain progressive decline in the level of Hsps in neurodegenerative diseases, including transcriptional deficit of Hsps expression via the toxic misfolded protein and sequestration of cellular soluble Hsps along with the toxic aggregates to form IBs. Evidences like CBP mediated transcriptional impairment of Hsp70 in Drosophila via reduction of HSF-1 activity further support the transcriptional deficit hypothesis (Hands et al. 2008). Therefore, it appears that mis-regulation of molecular pathways and several factors which are responsible for cellular protein quality control might be the risk factor for disease occurrence, which could be considered while designing novel therapeutic strategies.
In addition to molecular chaperones, potential involvement of insulin/IGF-1 signaling in protein aggregation and toxicity has also been reported. Studies on C. elegans suggested a direct link of insulin/IGF-1 signaling in protein aggregation for the first time, when it was demonstrated that insulin/IGF-1 also protects the worms from motility impairment by neutralizing the poly(Q) aggregation and toxicity in HSF-1 and DAF-16 mediated manner (Teixeira-Castro et al. 2011). Subsequently, downregulation of insulin/IGF-1 signaling pathway was demonstrated to reduce the level of toxic aggregates in poly(Q) mediated Machado-Joseph disease (MJD) (Cohen 2012). Several studies performed on mouse HD and AD models also suggest that insulin/IGF-1 signaling has remarkable neuroprotective capacity. Mouse knockout models for IGF-1 receptor and Insulin Receptor Substrate (IRS) have shown rescue the animals from poly(Q) induced behavioral impairments along with learning and memory deficit (Raj et al. 2012). Collectively, it is increasingly clear now that insulin/IGF-1 signaling plays an essential role in neuroprotective function via modulation of aging processes and could be exploited as a novel pathway to develop new therapeutic strategies.
7 Concluding Remarks
Though it is increasingly clear now that aging is regulated by explicit signaling pathways, however, whether the influence of these signals is applicable to an organism “as whole” or operating at tissue specific manner, which then affects aging systemically remains to be determined. In this context it is also interesting to note that a number of genetic manipulations which extend life span in Drosophila and other species have sex-specific preferences. Also, dietary restriction results in a greater extension of life span in female versus male flies. Therefore, exactly how these various pathways/factors control life span and influence the phenomenon of aging is still a “great scientific mystery”. The dramatic progress made in recent years utilizing various model organisms has demonstrated the feasibility of decoding this mystery and further studies are expected to reveal the insights of the biological aging and longevity.
References
Alpatov WW, Pearl R (1929) Experimental studies on the duration of life. XII. Influence of temperature during the larval period and adult life on the duration of the life of the imago of Drosophila melanogaster. Am Nat 63:37–67
Amm I, Sommer T, Wolf DH (2013) Protein quality control and elimination of protein waste: the role of the ubiquitin-proteasome system. Biochim Biophys Acta 1843:182–196
Arking R (1991) Biology of ageing: observations and principles. Prentice Hall, Englewood Cliffs, NJ
Arslan MA, Csermely P, Soti C (2006) Protein homeostasis and molecular chaperones in aging. Biogerontology 7:383–389
Bauer JH, Morris SNS, Chang C, Flatt T, Wood JG, Helfand SL (2009) dSir2 and Dmp53 interact to mediate aspects of CR-dependent life span extension in D. melanogaster. Aging 1:38–49
Bishop NA, Lu T, Yankner BA (2010) Neural mechanisms of ageing and cognitive decline. Nature 464:529–535
Biteau B, Karpac J, Hwangbo D, Jasper H (2011) Regulation of Drosophila lifespan by JNK signaling. Exp Gerontol 46:349–354
Bjedov I, Toivonen JM, Kerr F, Slack C, Jacobson J, Foley A, Partridge L (2010) Mechanisms of life span extension by rapamycin in the fruit fly Drosophila melanogaster. Cell Metab 11:35–46
Böhni R, Riesgo-Escovar J, Oldham S, Brogiolo W, Stocker H, Andruss BF, Beckingham K, Hafen E (1999) Autonomous control of cell and organ size by CHICO, a Drosophila homolog of vertebrate IRS1-4. Cell 97:865–875
Bokov A, Chaudhuri A, Richardson A (2004) The role of oxidative damage and stress inaging. Mech Ageing Dev 125:811–826
Boutros M, Agaisse H, Perrimon N (2002) Sequential activation of signaling pathways during innate immune responses in Drosophila. Dev Cell 3:711–722
Brand AH, Perrimon N (1993) Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development 118:401–415
Branson K, Robie AA, Bender J, Perona P, Dickinson MH (2009) High-throughput ethomics in large groups of Drosophila. Nat Methods 6:451–457
Broughton SJ, Piper MD, Ikeya T, Bass TM, Jacobson J, Driege Y, Martinez P, Hafen E et al (2005) Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands. Proc Nat Acad Sci USA 102:3105–3110
Butler AA, Le Roith D (2001) Control of growth by the somatropic axis: growth hormone and the insulin-like growth factors have related and independent roles. Annu Rev Physiol 63:141–164
Campisi J, Vijg J (2009) Does damage to DNA and other macromolecules play a role in aging? If so, how? J Gerontol A Biol Sci Med Sci 64:175–178
Chen B, Retzlaff M, Roos T, Frydman J (2011) Cellular strategies of protein quality control. Cold Spring Harb Perspect Biol 3:a004374
Chen W, White MA, Cobb MH (2002) Stimulus-specific requirements for MAP3 kinases in activating the JNK pathway. J Biol Chem 277:49105–49110
Chistiakov DA, Sobenin IA, Revin VV, Orekhov AN, Bobryshev YV (2014) Mitochondrial aging and age-related dysfunction of mitochondria. Biomed. Res. Int. 2014 238463
Cho J, Hur JH, Walker DW (2011) The role of mitochondria in Drosophila aging. Exp Gerontol 46:331–334
Clancy DJ, Gems D, Harshman LG, Oldham S, Stocker H, Hafen E, Leevers SJ, Partridge L (2001) Extension of life-span by loss of CHICO, a Drosophila insulin receptor substrate protein. Science 292:104–106
Cohen E (2012) Ageing, protein aggregation, chaperones, and neurodegenerative disorders: mechanisms of coupling and therapeutic opportunities. Rambam Maimonides Med J 3:e0021
Cummings CJ, Sun Y, Opal P, Antalffy B, Mestril R, Orr HT, Dillmann WH, Zoghbi HY (2001) Over-expression of inducible HSP70 chaperone suppresses neuropathology and improves motor function in SCA1 mice. Hum Mol Genet 10:1511–1518
Curtis C, Landis GN, Folk D, Wehr NB, Hoe N, Waskar M, Abdueva D, Skvortsov D et al (2007) Transcriptional profiling of MnSOD-mediated lifespan extension in Drosophila reveals a species-general network of aging and metabolic genes. Genome Biol 8:R262
Dali-Youcef N, Lagouge M, Froelich S, Koehl C, Schoonjans K, Auwerx J (2007) Sirtuins: the ‘magnificent seven’, function, metabolism and longevity. Ann Med 39:335–345
Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, Fellner M, Gasser B, Kinsey K et al (2007) A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature 448:151–156
Dudas SP, Arking R (1995) A coordinate upregulation of antioxidant gene activities is associated with the delayed onset of senescence in a long-lived strain of Drosophila. J Gerontol A Biol Sci Med Sci 50:B117–B127
Estevez M, Attisano L, Wrana JL, Albert PS, Massagué J, Riddle DL (1993) The daf-4 gene encodes a bone morphogenetic protein receptor controlling C. elegansdauer larva development. Nature 365:644–649
Ferguson M, Mockett RJ, Shen Y, Orr WC, Sohal RS (2005) Age-associated decline in mitochondrial respiration and electron transport in Drosophila melanogaster. Biochem J 390:501–511
Finkel T, Holbrook NJ (2000) Oxidants, oxidative stress and the biology of ageing. Nature 408:239–247
Fleming JE, Walton JK, Dubitsky R, Bensch KG (1988) Aging results in an unusual expression of Drosophila heat shock proteins. Proc Nat Acad Sci USA 85:4099–4103
Gardner TS (1948) The use of Drosophila melanogaster as a screening agent for longevity factors; the effects of biotin, pyridoxine, sodium yeast nucleate, and pantothenic acid on the life span of the fruit fly. J Gerontol 3:9–13
Geuking P, Narasimamurthy R, Lemaitre B, Basler K, Leulier F (2009) A nonredundant role for Drosophila Mkk4 and hemipterous/Mkk7 in TAK1-mediated activation of JNK. PLoS ONE 4:e7709
Giannakou ME, Partridge L (2007) Role of insulin-like signalling in Drosophila lifespan. Trends Biochem Sci 32:180–188
Giannakou ME, Goss M, Partridge L (2008) Role of dFOXO in lifespan extension by dietary restriction in Drosophila melanogaster: not required, but its activity modulates the response. Aging Cell 7:187–198
Giannakou ME, Goss M, Junger MA, Hafen E, Leevers SJ, Partridge L (2004) Long-lived Drosophila with overexpressed dFOXO in adult fat body. Science 305:361
Gong WJ, Golic KG (2006) Loss of Hsp70 in Drosophila is pleiotropic, with effects on thermos tolerance, recovery from heat shock and neurodegeneration. Genetics 172:275–286
Grönke S, Clarke DF, Broughton S, Andrews TD, Partridge L (2010) Molecular evolution and functional characterization of Drosophila insulin-like peptides. PLoS Genet 6:e1000857
Guillozet AL, Weintraub S, Mash DC, Mesulam MM (2003) Neurofibrillary tangles, amyloid, and memory in aging and mild cognitive impairment. Arch Neurol 60:729–736
Hands S, Sinadinos C, Wyttenbach A (2008) Polyglutamine gene function and dysfunction in the ageing brain. Biochim Biophys Acta 1779:507–521
Harman D (1956) Aging: a theory based on free radical and radiation chemistry. J Gerontol 11:298–300
Harman D (1981) The aging process. Proc Natl Acad Sci USA 78:7124–7128
Harman D (1992) Free radical theory of aging. Mutat Res 275:257–266
Harshman LG, Haberer BA (2000) Oxidative stress resistance: a robust correlated response to selection in extended longevity lines of Drosophila melanogaster. J Gerontol A Biol Sci Med Sci 55:B415–B417
Hart FU, Bracher A, Hayer-Hartl M (2011) Molecular chaperones in protein folding and proteostasis. Nature 475:324–332
Helfand SL, Rogina B (2003a) From genes to aging in Drosophila. Adv Genet 49:67–109
Helfand SL, Rogina B (2003b) Genetics of aging in the fruit fly, Drosophila melanogaster. Annu Rev Genet 37:329–348
Herman MM, Miquel J, Johnson M (1971) Insect brain as a model for the study of aging. Age-related changes in Drosophila melanogaster. Acta Neuropathol 19:167–183
Hirth F (2010) Drosophila melanogaster in the study of human neurodegeneration. CNS Neruol Disord Drug Targets 9:504–523
Holzenberger M, Dupont J, Ducos B, Leneuve P, Géloën A, Even PC, Cervera P, Le Bouc Y (2003) IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice. Nature 421:182–187
Hotamisligil GS (2006) Inflammation and metabolic disorders. Nature 444:860–867
Hwangbo DS, Gershman B, Tu MP, Palmer M, Tatar M (2004) Drosophila dFOXO controls lifespan and regulates insulin signalling in brain and fat body. Nature 429:562–566
Igaki T (2009) Correcting developmental errors by apoptosis: lessons from Drosophila JNK signaling. Apoptosis 14:1021–1028
Iliadi KG, Boulianne GL (2010) Age-related behavioral changes in Drosophila. Ann N Y Acad Sci 1197:9–18
Iliadi KG, Knight D, Boulianne GL (2012) Healthy aging—insights from Drosophila. Front Physiol 3:106
Jacinto E, Loewith R, Schmidt A, Lin S, Ruegg MA, Hall A, Hall MN (2004) Mammalian TOR complex 2 controls the actin cytoskeleton and is rapamycin insensitive. Nat Cell Biol 6:1122–1128
Jazwinski SM (2000) Aging and longevity genes. Acta Biochim Pol 47:269–279
Johnson GL, Nakamura K (2007) The c-jun kinase/stress-activated pathway: regulation, function and role in human disease. Biochim Biophys Acta 1773:1341–1348
Jones MA, Grotewiel M (2011) Drosophila as a model for age-related impairment in locomotor and other behaviors. Exp Gerontol 46:320–325
Kabil H, Partridge L, Harshman LG (2007) Superoxide dismutase activities in long-lived Drosophila melanogaster females: chico1 genotypes and dietary dilution. Biogerontology 8:201–208
Kapahi P, Zid BM, Harper T, Koslover D, Sapin V, Benzer S (2004) Regulation of Lifespan in Drosophila by Modulation of Genes in the TOR Signaling Pathway. Curr Biol 14:885–890
Karpac J, Jasper H (2009) Insulin and JNK: optimizing metabolic homeostasis andlifespan. Trends Endocrinol Metab 20:100–106
Kenyon C (2005) The plasticity of aging: insights from long-lived mutants. Cell 120:449–460
Kimura KD, Tissenbaum HA, Liu Y, Ruvkun G (1997) daf-2, an insulin receptor-like gene that regulates longevity and diapause in Caenorhabditis elegans. Science 277:942–946
Kirby K, Hu J, Hilliker AJ, Phillips JP (2002) RNA interference-mediated silencing of Sod2 in Drosophila leads to early adult-onset mortality and elevated endogenous oxidative stress. Proc Natl Acad Sci USA 99:16162–16167
Kurapati R, Passananti HB, Rose MR, Tower J (2000) Increased hsp22 RNA levels in Drosophila lines genetically selected for increased longevity. J Gerontol A Biol Sci Med Sci 55:B552–B559
Lapointe J, Hekimi S (2010) When a theory of aging ages badly. Cell Mol Life Sci 67:1–8
Le Bourg E (2001) Oxidative stress, aging and longevity in Drosophila melanogaster. FEBS Lett 498:183–186
Leevers SJ, Weinkove D, MacDougall LK, Hafen E, Waterfield MD (1996) The Drosophila phosphoinositide 3-kinase Dp110 promotes cell growth. EMBO J 15:6584–6594
Liao PC, Lin HY, Yuh CH, Yu LK, Wang HD (2008) The effect of neuronal expression of heat shock proteins 26 and 27 on lifespan, neurodegeneration, and apoptosis in Drosophila. Biochem Biophys Res Commun 376:637–641
Lin YJ, Seroude L, Benzer S (1998) Extended life-span and stress resistance in the Drosophila mutant methuselah. Science 282:943–946
Loeb J, Northrop JH (1916) Is there a temperature coefficient for the duration of life? Proc Natl Acad Sci USA 2:456–457
Loeb J, Northrop JH (1917) On the influence of food and temperature upon the duration of life. J Biol Chem 32:103–121
Luckinbill L, Clare M (1985) Selection for life span in Drosophila melanogaster. Heredity 55:9–18
Luckinbill L, Arking R, Clare MJ, Cirocco WC, Buck S (1984) Selection for delayed senescence in Drosophila melanogaster. Evolution 38:996–1003
Luckinbill LS, Clare MJ (1987) Successful selection for increased longevity in Drosophila: analysis of the survival data and presentation of a hypothesis on the genetic regulation of longevity. Letter to the editor. Exp Gerontol 22:221–226
McCarroll SA, Murphy CT, Zou S, Pletcher SD, Chin CS, Jan YN, Kenyon C, Bargmann CI et al (2004) Comparing genomic expression patterns across species identifies shared transcriptional profile in aging. Nat Genet 36:197–204
McCord JM, Fridovich I (1969) Superoxide dismutase. An enzymatic function for erythrocuperin (hemocuperin). J Biol Chem 244:6049–6055
Min KJ, Yamamoto R, Buch S, Pankratz M, Tatar M (2008) Drosophila lifespan control by dietary restriction independent of insulin-like signaling. Aging Cell 7:199–206
Minois N (2000) Longevity and aging: beneficial effects of exposure to mild stress. Biogerontology 1:15–29
Minois N, Le Bourg E (1999) Resistance to stress as a function of age in Drosophila melanogaster living in hypergravity. Mech Ageing Dev 109:53–64
Minois N, Khazaeli AA, Curtsinger JW (2001) Locomotor activity as a function of age and life span in Drosophila melanogaster overexpressing hsp70. Exp Gerontol 36:1137–1153
Missirlis F, Phillips JP, Jackle H (2001) Cooperative action of antioxidant defense systems in Drosophila. Curr Biol 11:1272–1277
Mockett RJ, Sohal RS, Orr WC (1999) Overexpression of glutathione reductase extends survival in transgenic Drosophila melanogaster under hyperoxia but not normoxia. FASEB J 13:1733–1742
Morimoto RI (2008) Proteotoxic stress and inducible chaperone networks in neurodegenerative disease and aging. Genes Dev 22:1427–1438
Morimoto RI, Cuervo AM (2009) Protein homeostasis and aging: taking care of proteins from the cradle to the grave. J Gerontol A Biol Sci Med Sci 64:167–170
Morley JF, Brignull HR, Weyers JJ, Morimoto RI (2002) The threshold for polyglutamine-expansion protein aggregation and cellular toxicity is dynamic and influenced by aging in Caenorhabditis elegans. Proc Natl Acad Sci USA 99:10417–10422
Morrow G, Tanguay RM (2003) Heat shock proteins and aging in Drosophila melanogaster. Semin Cell Dev Biol 14:291–299
Morrow G, Battistini S, Zhang P, Tanguay RM (2004a) Decreased lifespan in the absence of expression of the mitochondrial small heat shock protein Hsp22 in Drosophila. J Biol Chem 279:43382–43385
Morrow G, Heikkila JJ, Tanguay RM (2006) Differences in the chaperone-like activities of the four main small heat shock proteins of Drosophila melanogaster. Cell Stress Chaperones 11:51–60
Morrow G, Samson M, Michaud S, Tanguay RM (2004b) Overexpression of the small mitochondrial Hsp22 extends Drosophila life span and increases resistance to oxidative stress. FASEB J 18:598–599
Muchowski PJ, Wacker JL (2005) Modulation of neurodegeneration by molecular chaperones. Nat Rev Neurosci 6:11–22
Muchowski PJ, Schaffar G, Sittler A, Wanker EE, Hayer-Hartl MK, Hartl FU (2000) Hsp70 and hsp40 chaperones can inhibit self-assembly of polyglutamine proteins into amyloid-like fibrils. Proc Natl Acad Sci USA 97:7841–7846
Netchine I, Azzi S, Le Bouc Y, Savage MO (2011) IGF1 molecular anomalies demonstrate its critical role in fetal, postnatal growth and brain development. Best Pract Res Clin Endocrinol Metab 25:181–190
Nichols CD, Becnel J, Pandey UB (2012) Methods to assay Drosophila behavior. J Vis Exp 7:pii:3795
Niedzwiecki A, Kongpachith AM, Fleming JE (1991) Aging affects expression of 70-kDa heat shock proteins in Drosophila. J Biol Chem 266:9332–9338
Nielsen MD, Luo X, Biteau B, Syverson K, Jasper H (2008) 14-3-3 Epsilon antagonizes FoxO to control growth, apoptosis and longevity in Drosophila. Aging Cell 7:688–699
Oldham S, Hafen E (2003) Insulin/IGF and target of rapamycin signaling: a TOR de force in growth control. Trends Cell Biol 13:79–85
Orr WC, Sohal RS (1993) Effects of Cu-Zn superoxide dismutase overexpression on life span and resistance to oxidative stress in transgenic Drosophila melanogaster. Arch Biochem Biophys 301:34–40
Orr WC, Sohal RS (1994) Extension of life-span by overexpression of superoxide dismutase and catalase in Drosophila melanogaster. Science 263:1128–1130
Pandey UB, Nichols CD (2011) Human disease models in Drosophila melanogaster and the role of the fly in therapeutic drug discovery. Pharmacol Rev 63:411–436
Parkes TL, Elia AJ, Dickinson D, Hilliker AJ, Phillips JP, Boulianne GL (1998) Extension of Drosophila lifespan by overexpression of human SOD1 in motor neurons. Nat Genet 19:171–174
Partridge L, Gems D (2002) Mechanisms of ageing: public or private? Nat Rev Genet 3:165–175
Partridge L, Piper MD, Mair W (2005) Dietary restriction in Drosophila. Mech Ageing Dev 126:938–950
Pearl R, Parker SL (1921) Experimental studies on the duration of life I. Introductory discussion of the duration of life in Drosophila. Am Nat 60:481–509
Pearl R, Parker SL (1922) Experimental studies on the duration of life. II. Hereditary differences in duration of life in line-bread strains of Drosophila. Am Nat 56:174
Pérez VI, Bokov A, Van Remmen H, Mele J, Ran Q, Ikeno Y, Richardson A (2009) Is the oxidative stress theory of aging dead? Biochim Biophys Acta 1790:1005–1014
Pfeiffenberger C, Lear BC, Keegan KP, Allada R (2010) Locomotor activity level monitoring using the Drosophila Activity Monitoring (DAM) System. Cold Spring Harb. Protoc. 2010 pdb.prot5518
Phillips JP, Hilliker AJ (1990) Genetic analysis of oxygen defense mechanisms in Drosophila melanogaster. Adv Genet 28:43–71
Phillips JP, Campbell SD, Michaud D, Charbonneau M, Hilliker AJ (1989) Null mutation of copper/zinc superoxide dismutase in Drosophila confers hypersensitivity to paraquat and reduced longevity. Proc Natl Acad Sci USA 86:2761–2765
Piper MD, Partridge L (2007) Dietary restriction in Drosophila: delayed aging or experimental artefact? PLoS Genet 3:e57
Pletcher SD, Macdonald SJ, Marguerie R, Certa U, Stearns SC, Goldstein DB, Partridge L (2002) Genome-wide transcript profiles in aging and calorically restricted Drosophila melanogaster. Curr Biol 12:712–723
Raj K, Chanu SI, Sarkar S (2012) Decoding complexity of ageing. Cell Dev Biol 1:e117
Reiter LT, Potocki L, Chien S, Gribskov M, Bier E (2001) A systematic analysis of human disease-associated gene sequences in Drosophila melanogaster. Genome Res 11:1114–1125
Ritossa F (1962) A new puffing pattern induced by temperature shock and DNP in Drosophila. Experientia 18:571–573
Ritossa F (1996) Discovery of the heat shock response. Cell Stress Chaperones 1:97–98
Rogina B, Helfand SL (2004) Sir2 mediates longevity in the fly through a pathway related to calorie restriction. Proc Natl Acad Sci USA 101:15998–16003
Rogina B, Reenan RA, Nilsen SP, Helfand SL (2000) Extended life-span conferred by cotransporter gene mutations in Drosophila. Science 290:2137–2140
Rose M (1984) Laboratory evolution of postponed senescence in Drosophila melanogaster. Evolution 38:1004–1009
Rose M, Charlesworth B (1980) A test of evolutionary theories of senescence. Nature 287:141–142
Rose MR, Charlesworth B (1981) Genetics of life history in Drosophila melanogaster. II. Exploratory selection experiments. Genetics 97:187–196
Ryder E, Ashburner M, Bautista-Llacer R, Drummond J, Webster J, Johnson G, Morley T, Chan YS et al (2007) The DrosDel deletion collection: a Drosophila genome wide chromosomal deficiency resource. Genetics 177:615–662
Salmon AB, Marx DB, Harshman LG (2001) A cost of reproduction in Drosophila melanogaster: stress susceptibility. Evolution 55:1600–1608
Saltiel AR, Kahn CR (2001) Insulin signalling and the regulation of glucose and lipid metabolism. Nature 13:799–806
Sarkar S, Singh MD, Yadav R, Arunkumar KP, Pitman GW (2011) Heat shock proteins: Molecules with assorted functions. Front Biol 6:312–327
Seto NO, Hayashi S, Tener GM (1990) Overexpression of Cu-Zn superoxide dismutase in Drosophila does not affect life-span. Proc Natl Acad Sci USA 87:4270–4274
Shaw P, Ocorr K, Bodmer R, Oldham S (2008) Drosophila aging 2006/2007. Exp Gerontol 43:5–10
Shaw PJ, Tononi G, Greenspan RJ, Robinson DF (2002) Stress response genes protect against lethal effects of sleep deprivation in Drosophila. Nature 417:287–291
Sies H, Cadenas E (1985) Oxidative stress: damage to intact cells and organs. Philosophical. Tran R Soc Lond Ser B, Biol Sci 311:617–631
Smith JM (1958) The effects of temperature and of egg laying on the longevity of Drosophila subobscura. J Exp Biol 35:832–842
Smith JM (1962) The causes of ageing. Proc. R. Soc. London Ser. B 157:115–127
Sohal RS (2002) Oxidative stress hypothesis of aging. Free Radic Biol Med 33:573–574
Sohal RS, Weindruch R (1996) Oxidative stress, caloric restriction, and aging. Science 273:59–63
Soti C, Csermely P (2003) Aging and molecular chaperones. Exp Gerontol 38:1037–1040
Stadtman ER (2006) Protein oxidation and aging. Free Radic Res 40:1250–1258
Sun J, Tower J (1999) FLP recombinase-mediated induction of Cu/Zn-superoxide dismutase transgene expression can extend the life span of adult Drosophila melanogaster flies. Mol Cell Biol 19:216–228
Sun Y, Yolitz J, Wang C, Spangler E, Zhan M, Zou S (2013) Aging studies in Drosophila melanogaster. Methods Mol Biol 1048:77–93
Tatar M (2010) Reproductive aging in invertebrate genetic models. Ann N Y Acad Sci 1204:149–155
Tatar M, Bartke A, Antebi A (2003) The endocrine regulation of aging by insulin-like signals. Science 299:1346–1351
Tatar M, Khazaeli AA, Curtsinger JW (1997) Chaperoning extended life. Nature 390:30
Tatar M, Kopelaman A, Epstein D, Tu MP, Yin CM, Garofalo RS (2001) A mutant Drosophila insulin receptor homolog that extends life span and impairs neuroendocrine function. Science 292:107–110
Tatar M, Post S, Yu K (2014) Nutrient control of Drosophila longevity. Trends Endocrinol Metab 25:509–517
Teixeira-Castro A, Ailion M, Jalles A, Brignull HR, Vilaça JL, Dias N, Rodrigues P, Oliveira JF et al (2011) Neuron-specific proteotoxicity of mutant ataxin-3 in C. elegans: rescue by the DAF-16 and HSF-1 pathways. Hum Mol Genet 20:2996–3009
Theodosiou NA, Xu T (1998) Use of FLP/FRT system to study Drosophila development. Methods 14:355–365
Tower J (2011) Heat shock proteins and Drosophila aging. Exp Gerontol 46:355–362
Um SH, D’Alessio D, Thomas G (2006) Nutrient overload, insulin resistance, and ribosomal protein S6 kinase 1, S6K1. Cell Metab 3:393–402
Vermeulen CJ, Van De Zande L, Bijlsma R (2005) Resistance to oxidative stress induced by paraquat correlates well with both decreased and increased lifespan in Drosophila melanogaster. Biogerontology 6:387–395
Vijg J (2008) The role of DNA damage and repair in aging: new approaches to an old problem. Mech Ageing Dev 129:498–502
Voellmy R 2004 On mechanisms that control heat shock transcription factor activity in metazoan cells. Cell Stress Chaperones 9:122–133
Vowels JJ, Thomas JH (1992) Genetic analysis of chemosensory control of dauer formation in Caenorhabditis elegans. Genetics 130:105–123
Walker DW, Benzer S (2004) Mitochondrial “swirls” induced by oxygen stress and in the Drosophila mutant hyperswirl. Proc Natl Acad Sci USA 101:10290–10295
Wallace DC (2005) A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: a dawn for evolutionary medicine. Annu Rev Genet 39:359–407
Wang MC, Bohmann D, Jasper H (2003) JNK signaling confers tolerance to oxidative stress and extends lifespan in Drosophila. Dev Cell 5:811–816
Wang MC, Bohmann D, Jasper H (2005) JNK extends life span and limits growth by antagonizing cellular and organism-wide responses to insulin signaling. Cell 121:115–125
Wolf FW, Heberlein U (2003) Invertebrate models of drug abuse. J Neurobiol 54:161–178
Yadav R, Chanu SI, Raj K, Sarkar S (2013) Rise and Fall of Reactive Oxygen Species (ROS): implications in Aging and Neurodegenerative Disorders. Cell Dev. Biol. 1:e122
Yadav R, Kundu S, Sarkar S (2015) Drosophila glob1 expresses dynamically and is required for development and oxidative stress response. Genesis. doi:10.1002/dvg.22902
Zeitlinger J, Bohmann D (1999) Thorax closure in Drosophila: involvement of Fos and the JNK pathway. Development 126:3947–3956
Zhao Y, Sun H, Lu J, Li X, Chen X, Tao D, Huang W, Huang B (2005) Lifespan extension and elevated hsp gene expression in Drosophila caused by histone deacetylase inhibitors. J Exp Biol 208:697–705
Zou S, Meadows S, Sharp L, Jan LY and Jan YN (2000) Genome-wide study of aging and oxidative stress response in Drosophila melanogaster. Proc Natl Acad Sci USA 97:13726–13731
Acknowledgments
Research programmes in the laboratory have been supported by grants from the Department of Science and Technology (DST), Department of Biotechnology (DBT), Government of India, New Delhi; DU/DST-PURSE scheme and Delhi University R & D fund to SS. RY, SIC, KR and Nisha are supported by DST-INSPIRE, UGC-SRF, UGC-JRF and DBT-JRF fellowships respectively.
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Yadav, R., Chanu, S.I., Raj, K., Nisha, Sarkar, S. (2017). Drosophila melanogaster: A Prime Experimental Model System for Aging Studies. In: Rath, P., Sharma, R., Prasad, S. (eds) Topics in Biomedical Gerontology. Springer, Singapore. https://doi.org/10.1007/978-981-10-2155-8_1
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