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Gyimesi G, Hediger MA. Systematic in silico discovery of novel solute carrier-like proteins from proteomes. PLoS One 2022; 17:e0271062. [PMID: 35901096 PMCID: PMC9333335 DOI: 10.1371/journal.pone.0271062] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 06/22/2022] [Indexed: 12/26/2022] Open
Abstract
Solute carrier (SLC) proteins represent the largest superfamily of transmembrane transporters. While many of them play key biological roles, their systematic analysis has been hampered by their functional and structural heterogeneity. Based on available nomenclature systems, we hypothesized that many as yet unidentified SLC transporters exist in the human genome, which await further systematic analysis. Here, we present criteria for defining "SLC-likeness" to curate a set of "SLC-like" protein families from the Transporter Classification Database (TCDB) and Protein families (Pfam) databases. Computational sequence similarity searches surprisingly identified ~120 more proteins in human with potential SLC-like properties compared to previous annotations. Interestingly, several of these have documented transport activity in the scientific literature. To complete the overview of the "SLC-ome", we present an algorithm to classify SLC-like proteins into protein families, investigating their known functions and evolutionary relationships to similar proteins from 6 other clinically relevant experimental organisms, and pinpoint structural orphans. We envision that our work will serve as a stepping stone for future studies of the biological function and the identification of the natural substrates of the many under-explored SLC transporters, as well as for the development of new therapeutic applications, including strategies for personalized medicine and drug delivery.
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Affiliation(s)
- Gergely Gyimesi
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department for BioMedical Research, Inselspital, University of Bern, Bern, Switzerland
- * E-mail: (GG); (MAH)
| | - Matthias A. Hediger
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department for BioMedical Research, Inselspital, University of Bern, Bern, Switzerland
- * E-mail: (GG); (MAH)
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2
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Lee YH, Choi D, Jang G, Park JY, Song ES, Lee H, Kuk MU, Joo J, Ahn SK, Byun Y, Park JT. Targeting regulation of ATP synthase 5 alpha/beta dimerization alleviates senescence. Aging (Albany NY) 2022; 14:678-707. [PMID: 35093936 PMCID: PMC8833107 DOI: 10.18632/aging.203858] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 01/14/2022] [Indexed: 11/25/2022]
Abstract
Senescence is a distinct set of changes in the senescence-associated secretory phenotype (SASP) and leads to aging and age-related diseases. Here, we screened compounds that could ameliorate senescence and identified an oxazoloquinoline analog (KB1541) designed to inhibit IL-33 signaling pathway. To elucidate the mechanism of action of KB1541, the proteins binding to KB1541 were investigated, and an interaction between KB1541 and 14-3-3ζ protein was found. Specifically, KB1541 interacted with 14-3-3ζ protein and phosphorylated of 14-3-3ζ protein at serine 58 residue. This phosphorylation increased ATP synthase 5 alpha/beta dimerization, which in turn promoted ATP production through increased oxidative phosphorylation (OXPHOS) efficiency. Then, the increased OXPHOS efficiency induced the recovery of mitochondrial function, coupled with senescence alleviation. Taken together, our results demonstrate a mechanism by which senescence is regulated by ATP synthase 5 alpha/beta dimerization upon fine-tuning of KB1541-mediated 14-3-3ζ protein activity.
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Affiliation(s)
- Yun Haeng Lee
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Doyoung Choi
- College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
| | - Geonhee Jang
- College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
| | - Ji Yun Park
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Eun Seon Song
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Haneur Lee
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Myeong Uk Kuk
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Junghyun Joo
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Soon Kil Ahn
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
| | - Youngjoo Byun
- College of Pharmacy, Korea University, Sejong 30019, Republic of Korea
| | - Joon Tae Park
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
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3
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Kacprzyk J, Locatelli AG, Hughes GM, Huang Z, Clarke M, Gorbunova V, Sacchi C, Stewart GS, Teeling EC. Evolution of mammalian longevity: age-related increase in autophagy in bats compared to other mammals. Aging (Albany NY) 2021; 13:7998-8025. [PMID: 33744862 PMCID: PMC8034928 DOI: 10.18632/aging.202852] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 03/05/2021] [Indexed: 12/30/2022]
Abstract
Autophagy maintains cellular homeostasis and its dysfunction has been implicated in aging. Bats are the longest-lived mammals for their size, but the molecular mechanisms underlying their extended healthspan are not well understood. Here, drawing on >8 years of mark-recapture field studies, we report the first longitudinal analysis of autophagy regulation in bats. Mining of published population level aging blood transcriptomes (M. myotis, mouse and human) highlighted a unique increase of autophagy related transcripts with age in bats, but not in other mammals. This bat-specific increase in autophagy transcripts was recapitulated by the western blot determination of the autophagy marker, LC3II/I ratio, in skin primary fibroblasts (Myotis myotis,Pipistrellus kuhlii, mouse), that also showed an increase with age in both bat species. Further phylogenomic selection pressure analyses across eutherian mammals (n=70 taxa; 274 genes) uncovered 10 autophagy-associated genes under selective pressure in bat lineages. These molecular adaptations potentially mediate the exceptional age-related increase of autophagy signalling in bats, which may contribute to their longer healthspans.
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Affiliation(s)
- Joanna Kacprzyk
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Andrea G. Locatelli
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
- Present Institutional Address: Division of Genetics and Cell Biology, Fondazione Centro San Raffaele, Via Olgettina, Milano 6020132, Italy
| | - Graham M. Hughes
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Zixia Huang
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Michael Clarke
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Vera Gorbunova
- Departments of Biology and Medicine, University of Rochester, Rochester, NY 14627, USA
| | - Carlotta Sacchi
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Gavin S. Stewart
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Emma C. Teeling
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
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4
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Terriente-Felix A, Wilson EL, Whitworth AJ. Drosophila phosphatidylinositol-4 kinase fwd promotes mitochondrial fission and can suppress Pink1/parkin phenotypes. PLoS Genet 2020; 16:e1008844. [PMID: 33085661 PMCID: PMC7605714 DOI: 10.1371/journal.pgen.1008844] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 11/02/2020] [Accepted: 09/28/2020] [Indexed: 11/18/2022] Open
Abstract
Balanced mitochondrial fission and fusion play an important role in shaping and distributing mitochondria, as well as contributing to mitochondrial homeostasis and adaptation to stress. In particular, mitochondrial fission is required to facilitate degradation of damaged or dysfunctional units via mitophagy. Two Parkinson’s disease factors, PINK1 and Parkin, are considered key mediators of damage-induced mitophagy, and promoting mitochondrial fission is sufficient to suppress the pathological phenotypes in Drosophila Pink1/parkin mutants. We sought additional factors that impinge on mitochondrial dynamics and which may also suppress Pink1/parkin phenotypes. We found that the Drosophila phosphatidylinositol 4-kinase IIIβ homologue, Four wheel drive (Fwd), promotes mitochondrial fission downstream of the pro-fission factor Drp1. Previously described only as male sterile, we identified several new phenotypes in fwd mutants, including locomotor deficits and shortened lifespan, which are accompanied by mitochondrial dysfunction. Finally, we found that fwd overexpression can suppress locomotor deficits and mitochondrial disruption in Pink1/parkin mutants, consistent with its function in promoting mitochondrial fission. Together these results shed light on the complex mechanisms of mitochondrial fission and further underscore the potential of modulating mitochondrial fission/fusion dynamics in the context of neurodegeneration. Mitochondria are dynamic organelles that can fuse and divide, in part to facilitate turnover of damaged components. These processes are essential to maintain a healthy mitochondrial network, and, in turn, sustain cell viability. This is critically important in high energy-demanding, post-mitotic tissues such as neurons. We previously identified Drosophila phosphatidylinositol-4 kinase fwd as a pro-fission factor in a cell-based screen. Here we show that loss of fwd regulates mitochondrial fission in vivo, and acts genetically downstream of Drp1. We identified new phenotypes in fwd mutants, similar to loss of Pink1/parkin, two genes linked to Parkinson’s disease and key regulators of mitochondrial homeostasis. Importantly, fwd overexpression is able to substantially suppress locomotor and mitochondrial phenotypes in Pink1/parkin mutants, suggesting that manipulating phosphoinositides may represent a route to tackling Parkinson’s disease.
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Affiliation(s)
- Ana Terriente-Felix
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Emma L. Wilson
- Department of Biomedical Sciences, University of Sheffield, Sheffield, United Kingdom
| | - Alexander J. Whitworth
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
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Huang W, Campbell T, Carbone MA, Jones WE, Unselt D, Anholt RRH, Mackay TFC. Context-dependent genetic architecture of Drosophila life span. PLoS Biol 2020; 18:e3000645. [PMID: 32134916 PMCID: PMC7077879 DOI: 10.1371/journal.pbio.3000645] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 03/17/2020] [Accepted: 02/14/2020] [Indexed: 12/13/2022] Open
Abstract
Understanding the genetic basis of variation in life span is a major challenge that is difficult to address in human populations. Evolutionary theory predicts that alleles affecting natural variation in life span will have properties that enable them to persist in populations at intermediate frequencies, such as late-life-specific deleterious effects, antagonistic pleiotropic effects on early and late-age fitness components, and/or sex- and environment-specific or antagonistic effects. Here, we quantified variation in life span in males and females reared in 3 thermal environments for the sequenced, inbred lines of the Drosophila melanogaster Genetic Reference Panel (DGRP) and an advanced intercross outbred population derived from a subset of DGRP lines. Quantitative genetic analyses of life span and the micro-environmental variance of life span in the DGRP revealed significant genetic variance for both traits within each sex and environment, as well as significant genotype-by-sex interaction (GSI) and genotype-by-environment interaction (GEI). Genome-wide association (GWA) mapping in both populations implicates over 2,000 candidate genes with sex- and environment-specific or antagonistic pleiotropic allelic effects. Over 1,000 of these genes are associated with variation in life span in other D. melanogaster populations. We functionally assessed the effects of 15 candidate genes using RNA interference (RNAi): all affected life span and/or micro-environmental variance of life span in at least one sex and environment and exhibited sex-and environment-specific effects. Our results implicate novel candidate genes affecting life span and suggest that variation for life span may be maintained by variable allelic effects in heterogeneous environments.
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Affiliation(s)
- Wen Huang
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Terry Campbell
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Mary Anna Carbone
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - W. Elizabeth Jones
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Desiree Unselt
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Robert R. H. Anholt
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Trudy F. C. Mackay
- Program in Genetics, W. M. Keck Center for Behavioral Biology and Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
- * E-mail:
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6
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Identification of novel genes associated with longevity in Drosophila melanogaster - a computational approach. Aging (Albany NY) 2019; 11:11244-11267. [PMID: 31794428 PMCID: PMC6932890 DOI: 10.18632/aging.102527] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 11/18/2019] [Indexed: 12/13/2022]
Abstract
Despite a growing number of studies on longevity in Drosophila, genetic factors influencing lifespan are still poorly understood. In this paper we propose a conceptually new approach for the identification of novel longevity-associated genes and potential target genes for SNPs in non-coding regions by utilizing the knowledge of co-location of various loci, governed by the three-dimensional architecture of the Drosophila genome. Firstly, we created networks between genes/genomic regions harboring SNPs deemed to be significant in two longevity GWAS summary statistics datasets using intra- and inter-chromosomal interaction frequencies (Hi-C data) as a measure of co-location. These networks were further extended to include regions strongly interacting with previously selected regions. Using various network measures, literature search and additional bioinformatics resources, we investigated the plausibility of genes found to have genuine association with longevity. Several of the newly identified genes were common between the two GWAS datasets and these possessed human orthologs. We also found that the proportion of non-coding SNPs in borders between topologically associated domains is significantly higher than expected by chance. Assuming co-location, we investigated potential target genes for non-coding SNPs. This approach therefore offers a stepping stone to identification of novel genes and SNP targets linked to human longevity.
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Trinh I, Gluscencova OB, Boulianne GL. An in vivo screen for neuronal genes involved in obesity identifies Diacylglycerol kinase as a regulator of insulin secretion. Mol Metab 2018; 19:13-23. [PMID: 30389349 PMCID: PMC6323187 DOI: 10.1016/j.molmet.2018.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 09/26/2018] [Accepted: 10/15/2018] [Indexed: 12/31/2022] Open
Abstract
Objective Obesity is a complex disorder involving many genetic and environmental factors that are required to maintain energy homeostasis. While studies in human populations have led to significant progress in the generation of an obesity gene map and broadened our understanding of the genetic basis of common obesity, there is still a large portion of heritability and etiology that remains unknown. Here, we have used the genetically tractable fruit fly, Drosophila melanogaster, to identify genes/pathways that function in the nervous system to regulate energy balance. Methods We performed an in vivo RNAi screen in Drosophila neurons and assayed for obese or lean phenotypes by measuring changes in levels of stored fats (in the form of triacylglycerides or TAG). Three rounds of screening were performed to verify the reproducibility and specificity of the adiposity phenotypes. Genes that produced >25% increase in TAG (206 in total) underwent a second round of screening to verify their effect on TAG levels by retesting the same RNAi line to validate the phenotype. All remaining hits were screened a third time by testing the TAG levels of additional RNAi lines against the genes of interest to rule out any off-target effects. Results We identified 24 genes including 20 genes that have not been previously associated with energy homeostasis. One identified hit, Diacylglycerol kinase (Dgk), has mammalian homologues that have been implicated in genome-wide association studies for metabolic defects. Downregulation of neuronal Dgk levels increases TAG and carbohydrate levels and these phenotypes can be recapitulated by reducing Dgk levels specifically within the insulin-producing cells that secrete Drosophila insulin-like peptides (dILPs). Conversely, overexpression of kinase-dead Dgk, but not wild-type, decreased circulating dILP2 and dILP5 levels resulting in lower insulin signalling activity. Despite having higher circulating dILP levels, Dgk RNAi flies have decreased pathway activity suggesting that they are insulin-resistant. Conclusion Altogether, we have identified several genes that act within the CNS to regulate energy homeostasis. One of these, Dgk, acts within the insulin-producing cells to regulate the secretion of dILPs and energy homeostasis in Drosophila. RNAi screen in neurons identifies 24 regulators of energy homeostasis. One of the hits, Dgk, affects lipid and carbohydrate homeostasis. Dgk acts within the IPCs to regulate dILP secretion and insulin signalling activity.
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Affiliation(s)
- Irene Trinh
- Department of Molecular Genetics, University of Toronto, Toronto, M5S 1A8, Canada; Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Peter Gilgan Center for Research and Learning, 686 Bay Street, Toronto, M5G 0A6, Canada.
| | - Oxana B Gluscencova
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Peter Gilgan Center for Research and Learning, 686 Bay Street, Toronto, M5G 0A6, Canada.
| | - Gabrielle L Boulianne
- Department of Molecular Genetics, University of Toronto, Toronto, M5S 1A8, Canada; Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Peter Gilgan Center for Research and Learning, 686 Bay Street, Toronto, M5G 0A6, Canada.
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Fujita T, Kozuka-Hata H, Hori Y, Takeuchi J, Kubo T, Oyama M. Shotgun proteomics deciphered age/division of labor-related functional specification of three honeybee (Apis mellifera L.) exocrine glands. PLoS One 2018; 13:e0191344. [PMID: 29447197 PMCID: PMC5813902 DOI: 10.1371/journal.pone.0191344] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2017] [Accepted: 01/03/2018] [Indexed: 12/15/2022] Open
Abstract
The honeybee (Apis mellifera L.) uses various chemical signals produced by the worker exocrine glands to maintain the functioning of its colony. The roles of worker postcerebral glands (PcGs), thoracic glands (TGs), and mandibular glands (MGs) and the functional changes they undergo according to the division of labor from nursing to foraging are not as well studied. To comprehensively characterize the molecular roles of these glands in workers and their changes according to the division of labor of workers, we analyzed the proteomes of PcGs, TGs, and MGs from nurse bees and foragers using shotgun proteomics technology. We identified approximately 2000 proteins from each of the nurse bee or forager glands and highlighted the features of these glands at the molecular level by semiquantitative enrichment analyses of frequently detected, gland-selective, and labor-selective proteins. First, we found the high potential to produce lipids in PcGs and MGs, suggesting their relation to pheromone production. Second, we also found the proton pumps abundant in TGs and propose some transporters possibly related to the saliva production. Finally, our data unveiled candidate enzymes involved in labor-dependent acid production in MGs.
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Affiliation(s)
- Toshiyuki Fujita
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
- * E-mail: (TF); (MO)
| | - Hiroko Kozuka-Hata
- Medical Proteomics Laboratory, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Yutaro Hori
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
- Institute of Molecular and Cellular Biosciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Jun Takeuchi
- Medical Research Institute, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | - Takeo Kubo
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Masaaki Oyama
- Medical Proteomics Laboratory, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
- * E-mail: (TF); (MO)
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Positive diversifying selection is a pervasive adaptive force throughout the Drosophila radiation. Mol Phylogenet Evol 2017; 112:230-243. [DOI: 10.1016/j.ympev.2017.04.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 04/26/2017] [Accepted: 04/26/2017] [Indexed: 01/02/2023]
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10
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Kang HT, Park JT, Choi K, Kim Y, Choi HJC, Jung CW, Lee YS, Park SC. Chemical screening identifies ATM as a target for alleviating senescence. Nat Chem Biol 2017; 13:616-623. [DOI: 10.1038/nchembio.2342] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 12/21/2016] [Indexed: 12/19/2022]
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Kasumovic MM, Chen Z, Wilkins MR. Australian black field crickets show changes in neural gene expression associated with socially-induced morphological, life-history, and behavioral plasticity. BMC Genomics 2016; 17:827. [PMID: 27776492 PMCID: PMC5078956 DOI: 10.1186/s12864-016-3119-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Accepted: 09/23/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Ecological and evolutionary model organisms have provided extensive insight into the ecological triggers, adaptive benefits, and evolution of life-history driven developmental plasticity. Despite this, we still have a poor understanding of the underlying genetic changes that occur during shifts towards different developmental trajectories. The goal of this study is to determine whether we can identify underlying gene expression patterns that can describe the different life-history trajectories individuals follow in response to social cues of competition. To do this, we use the Australian black field cricket (Teleogryllus commodus), a species with sex-specific developmental trajectories moderated by the density and quality of calls heard during immaturity. In this study, we manipulated the social information males and females could hear by rearing individuals in either calling or silent treatments. We next used RNA-Seq to develop a reference transcriptome to study changes in brain gene expression at two points prior to sexual maturation. RESULTS We show accelerated development in both sexes when exposed to calling; changes were also seen in growth, lifespan, and reproductive effort. Functional relationships between genes and phenotypes were apparent from ontological enrichment analysis. We demonstrate that increased investment towards traits such as growth and reproductive effort were often associated with the expression of a greater number of genes with similar effect, thus providing a suite of candidate genes for future research in this and other invertebrate organisms. CONCLUSIONS Our results provide interesting insight into the genomic underpinnings of developmental plasticity and highlight the potential of a genomic exploration of other evolutionary theories such as condition dependence and sex-specific developmental strategies.
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Affiliation(s)
- Michael M Kasumovic
- Ecology & Evolution Research Centre, School of Biological, Earth and Environmental Sciences, UNSW, Sydney, Australia.
| | - Zhiliang Chen
- Systems Biology Initiative, UNSW, Sydney, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW, Sydney, Australia
| | - Marc R Wilkins
- Systems Biology Initiative, UNSW, Sydney, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW, Sydney, Australia
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Basic mechanisms of longevity: A case study of Drosophila pro-longevity genes. Ageing Res Rev 2015; 24:218-31. [PMID: 26318059 DOI: 10.1016/j.arr.2015.08.005] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 08/11/2015] [Accepted: 08/20/2015] [Indexed: 12/13/2022]
Abstract
Drosophila is one of the most convenient model organisms in the genetics of aging and longevity. Unlike the nematodes, which allow for the detection of new pro-aging genes by knockout and RNAi-mediated knock-down, Drosophila also provides an opportunity to find new pro-longevity genes by driver-induced overexpression. Similar studies on other models are extremely rare. In this review, we focused on genes whose overexpression prolongs the life of fruit flies. The majority of longevity-associated genes regulates metabolism and stress resistance, and belongs to the IGF-1R, PI3K, PKB, AMPK and TOR metabolic regulation cluster and the FOXO, HDAC, p53 stress response cluster.
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Peters MJ, Joehanes R, Pilling LC, Schurmann C, Conneely KN, Powell J, Reinmaa E, Sutphin GL, Zhernakova A, Schramm K, Wilson YA, Kobes S, Tukiainen T, Ramos YF, Göring HHH, Fornage M, Liu Y, Gharib SA, Stranger BE, De Jager PL, Aviv A, Levy D, Murabito JM, Munson PJ, Huan T, Hofman A, Uitterlinden AG, Rivadeneira F, van Rooij J, Stolk L, Broer L, Verbiest MMPJ, Jhamai M, Arp P, Metspalu A, Tserel L, Milani L, Samani NJ, Peterson P, Kasela S, Codd V, Peters A, Ward-Caviness CK, Herder C, Waldenberger M, Roden M, Singmann P, Zeilinger S, Illig T, Homuth G, Grabe HJ, Völzke H, Steil L, Kocher T, Murray A, Melzer D, Yaghootkar H, Bandinelli S, Moses EK, Kent JW, Curran JE, Johnson MP, Williams-Blangero S, Westra HJ, McRae AF, Smith JA, Kardia SLR, Hovatta I, Perola M, Ripatti S, Salomaa V, Henders AK, Martin NG, Smith AK, Mehta D, Binder EB, Nylocks KM, Kennedy EM, Klengel T, Ding J, Suchy-Dicey AM, Enquobahrie DA, Brody J, Rotter JI, Chen YDI, Houwing-Duistermaat J, Kloppenburg M, Slagboom PE, Helmer Q, den Hollander W, Bean S, Raj T, Bakhshi N, Wang QP, Oyston LJ, Psaty BM, Tracy RP, Montgomery GW, Turner ST, Blangero J, Meulenbelt I, Ressler KJ, Yang J, Franke L, Kettunen J, Visscher PM, Neely GG, Korstanje R, Hanson RL, Prokisch H, Ferrucci L, Esko T, Teumer A, van Meurs JBJ, Johnson AD. The transcriptional landscape of age in human peripheral blood. Nat Commun 2015; 6:8570. [PMID: 26490707 PMCID: PMC4639797 DOI: 10.1038/ncomms9570] [Citation(s) in RCA: 411] [Impact Index Per Article: 45.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Accepted: 09/07/2015] [Indexed: 02/08/2023] Open
Abstract
Disease incidences increase with age, but the molecular characteristics of ageing that lead to increased disease susceptibility remain inadequately understood. Here we perform a whole-blood gene expression meta-analysis in 14,983 individuals of European ancestry (including replication) and identify 1,497 genes that are differentially expressed with chronological age. The age-associated genes do not harbor more age-associated CpG-methylation sites than other genes, but are instead enriched for the presence of potentially functional CpG-methylation sites in enhancer and insulator regions that associate with both chronological age and gene expression levels. We further used the gene expression profiles to calculate the ‘transcriptomic age' of an individual, and show that differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index. The transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models, and can be used by others to calculate transcriptomic age in external cohorts. Ageing increases the risk of many diseases. Here the authors compare blood cell transcriptomes of over 14,000 individuals and identify a set of about 1,500 genes that are differently expressed with age, shedding light on transcriptional programs linked to the ageing process and age-associated diseases.
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Affiliation(s)
- Marjolein J Peters
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Roby Joehanes
- The National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20817, USA
| | - Luke C Pilling
- Epidemiology and Public Health, University of Exeter Medical School, Exeter EX4 1DB, UK
| | - Claudia Schurmann
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17493, Germany.,The Charles Bronfman Institute for Personalized Medicine, Genetics of Obesity &Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York 10029, USA
| | - Karen N Conneely
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia 30301, USA
| | - Joseph Powell
- Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, Brisbane, Queensland 4000, Australia.,The Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland 4000, Australia
| | - Eva Reinmaa
- Estonian Genome Center, University of Tartu, Tartu 0794, Estonia
| | - George L Sutphin
- Nathan Shock Center of Excellence in the Basic Biology of Aging, The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700RB, The Netherlands
| | - Katharina Schramm
- Institute of Human Genetics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.,Institute of Human Genetics, Technical University Munich, Munich 85540, Germany
| | - Yana A Wilson
- Neuroscience Division, Garvan Institute of Medical Research, Australia and Charles Perkins Centre and School of Molecular Bioscience, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona 85001, USA
| | - Taru Tukiainen
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki 00131, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00131, Finland
| | | | - Yolande F Ramos
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - Harald H H Göring
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78201, USA
| | - Myriam Fornage
- Division of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Sciences, Center at Houston, Texas 77001, USA.,Institute of Molecular Medicine, University of Texas Health Sciences Center at Houston, Houston, Texas 77001, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington, Seattle, Washington 98101, USA
| | - Barbara E Stranger
- Section of Genetic Medicine, Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois 60290, USA
| | - Philip L De Jager
- Program in Translational NeuroPsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02108, USA
| | - Abraham Aviv
- Center of Human Development and Aging, New Jersey Medical School, Newark 07101, USA
| | - Daniel Levy
- The National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20817, USA
| | - Joanne M Murabito
- The National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts 01702, USA.,General Internal Medicine Section, Boston University, Boston, Massachusetts 02108, USA
| | - Peter J Munson
- The Mathematical and Statistical Computing Laboratory, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20817, USA
| | - Tianxiao Huan
- The National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20817, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000CA, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000CA, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam 3000CA, The Netherlands
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Michael M P J Verbiest
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Mila Jhamai
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Pascal Arp
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 0794, Estonia
| | - Liina Tserel
- Molecular Pathology, Institute of Biomedicine, University of Tartu, Tartu 0794, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 0794, Estonia
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE1, UK.,National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE1, UK
| | - Pärt Peterson
- Molecular Pathology, Institute of Biomedicine, University of Tartu, Tartu 0794, Estonia
| | - Silva Kasela
- Institute of Molecular and Cell Biology, Estonian Genome Center, University of Tartu, Tartu 0794, Estonia
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE1, UK.,National Institute for Health Research Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE1, UK
| | - Annette Peters
- Institute of Epidemiologie II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Cavin K Ward-Caviness
- Institute of Epidemiologie II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Christian Herder
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf 40593, Germany
| | - Melanie Waldenberger
- Institute of Epidemiologie II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Michael Roden
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf 40593, Germany.,Division of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf 40593, Germany
| | - Paula Singmann
- Institute of Epidemiologie II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Sonja Zeilinger
- Institute of Epidemiologie II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, Hannover 30519, Germany
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17493, Germany
| | - Hans-Jörgen Grabe
- Department of Psychiatry and Psychotherapy, Helios Hospital Stralsund, University Medicine Greifswald, Greifswald 17489, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
| | - Leif Steil
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17493, Germany
| | - Thomas Kocher
- Unit of Periodontology, Department of Restorative Dentistry, Periodontology and Endodontology, University Medicine Greifswald, Greifswald 17489, Germany
| | - Anna Murray
- Epidemiology and Public Health, University of Exeter Medical School, Exeter EX4 1DB, UK
| | - David Melzer
- Epidemiology and Public Health, University of Exeter Medical School, Exeter EX4 1DB, UK
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK
| | | | - Eric K Moses
- Centre for Genetic Origins of Health and Disease, The University of Western Australia, and Faculty of Health Sciences, Curtin University, Perth, Western Australia 9011, Australia
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78201, USA
| | - Joanne E Curran
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78201, USA
| | - Matthew P Johnson
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78201, USA
| | | | - Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700RB, The Netherlands.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge 02138, USA.,Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02108, USA.,Partners Center for Personalized Genetic Medicine, Boston, Massachusetts 02108, USA
| | - Allan F McRae
- The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4000, Australia.,University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4000, Australia
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48103, USA
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48103, USA
| | - Iiris Hovatta
- Department of Biosciences, University of Helsinki, Helsinki 00100, Finland.,Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki 00100, Finland
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 0794, Estonia.,Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki 00131, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00131, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki 00131, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00131, Finland.,Wellcome Trust Sanger Institute, Hinxton, Cambridge CB4, UK.,Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00100, Finland
| | - Veikko Salomaa
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00131, Finland
| | - Anjali K Henders
- The Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland 4000, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4000, Australia
| | - Alicia K Smith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia 30301, USA
| | - Divya Mehta
- Max-Planck Institute of Psychiatry, Munich 80331, Germany
| | | | - K Maria Nylocks
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia 30301, USA
| | - Elizabeth M Kennedy
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia 30301, USA
| | | | - Jingzhong Ding
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, USA
| | - Astrid M Suchy-Dicey
- Department of Epidemiology, University of Washington, Seattle, Washington 98101, USA
| | - Daniel A Enquobahrie
- Department of Epidemiology, University of Washington, Seattle, Washington 98101, USA
| | - Jennifer Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98101, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90501, USA
| | - Yii-Der I Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California 90501, USA
| | | | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden 2300RC, The Netherlands.,Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - P Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - Quinta Helmer
- Department of Medical Statistics, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - Wouter den Hollander
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - Shannon Bean
- Nathan Shock Center of Excellence in the Basic Biology of Aging, The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | - Towfique Raj
- Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts 02138, USA
| | - Noman Bakhshi
- Neuroscience Division, Garvan Institute of Medical Research, Australia and Charles Perkins Centre and School of Molecular Bioscience, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Qiao Ping Wang
- Neuroscience Division, Garvan Institute of Medical Research, Australia and Charles Perkins Centre and School of Molecular Bioscience, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Lisa J Oyston
- Neuroscience Division, Garvan Institute of Medical Research, Australia and Charles Perkins Centre and School of Molecular Bioscience, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98195, USA.,Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, Washington 98195, USA.,Cardiovascular Health Research Unit, Department of Health Services, University of Washington, Seattle, Washington 98195, USA.,Group Health Research Institute, Group Health Cooperative, Seattle, Washington 98195, USA
| | - Russell P Tracy
- Department of Pathology, University of Vermont College of Medicine, Colchester, Vermont 98195, USA
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4000, Australia
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota 55901, USA
| | - John Blangero
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78201, USA
| | - Ingrid Meulenbelt
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RC, The Netherlands
| | - Kerry J Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia 30301, USA
| | - Jian Yang
- The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4000, Australia.,University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4000, Australia
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen 9700RB, The Netherlands
| | - Johannes Kettunen
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki 00131, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki 00131, Finland.,Computational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, Oulu 90570, Finland
| | - Peter M Visscher
- The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4000, Australia.,University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4000, Australia
| | - G Gregory Neely
- Neuroscience Division, Garvan Institute of Medical Research, Australia and Charles Perkins Centre and School of Molecular Bioscience, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Ron Korstanje
- Nathan Shock Center of Excellence in the Basic Biology of Aging, The Jackson Laboratory, Bar Harbor, Maine 04609, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Disease, National Institutes of Health, Phoenix, Arizona 85001, USA
| | - Holger Prokisch
- Institute of Human Genetics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg 85764, Germany.,Institute of Human Genetics, Technical University Munich, Munich 85540, Germany
| | - Luigi Ferrucci
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland 21218, USA
| | - Tonu Esko
- Estonian Genome Center, University of Tartu, Tartu 0794, Estonia.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge 02138, USA.,Division of Endocrinology, Children's Hospital Boston, Boston, Massachusetts 02108, USA.,Department of Genetics, Harvard Medical School, Boston, Massachusetts 02108, USA
| | - Alexander Teumer
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17493, Germany
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Centre Rotterdam, Rotterdam 3000CA, The Netherlands
| | - Andrew D Johnson
- The National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts 01702, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20817, USA
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14
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Carnes MU, Campbell T, Huang W, Butler DG, Carbone MA, Duncan LH, Harbajan SV, King EM, Peterson KR, Weitzel A, Zhou S, Mackay TFC. The Genomic Basis of Postponed Senescence in Drosophila melanogaster. PLoS One 2015; 10:e0138569. [PMID: 26378456 PMCID: PMC4574564 DOI: 10.1371/journal.pone.0138569] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 09/01/2015] [Indexed: 12/30/2022] Open
Abstract
Natural populations harbor considerable genetic variation for lifespan. While evolutionary theory provides general explanations for the existence of this variation, our knowledge of the genes harboring naturally occurring polymorphisms affecting lifespan is limited. Here, we assessed the genetic divergence between five Drosophila melanogaster lines selected for postponed senescence for over 170 generations (O lines) and five lines from the same base population maintained at a two week generation interval for over 850 generations (B lines). On average, O lines live 70% longer than B lines, are more productive at all ages, and have delayed senescence for other traits than reproduction. We performed population sequencing of pools of individuals from all B and O lines and identified 6,394 genetically divergent variants in or near 1,928 genes at a false discovery rate of 0.068. A 2.6 Mb region at the tip of the X chromosome contained many variants fixed for alternative alleles in the two populations, suggestive of a hard selective sweep. We also assessed genome wide gene expression of O and B lines at one and five weeks of age using RNA sequencing and identified genes with significant (false discovery rate < 0.05) effects on gene expression with age, population and the age by population interaction, separately for each sex. We identified transcripts that exhibited the transcriptional signature of postponed senescence and integrated the gene expression and genetic divergence data to identify 98 (175) top candidate genes in females (males) affecting postponed senescence and increased lifespan. While several of these genes have been previously associated with Drosophila lifespan, most are novel and constitute a rich resource for future functional validation.
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Affiliation(s)
- Megan Ulmer Carnes
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Terry Campbell
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Wen Huang
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Daniel G Butler
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Mary Anna Carbone
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Laura H Duncan
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Sasha V Harbajan
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Edward M King
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Kara R Peterson
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Alexander Weitzel
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Shanshan Zhou
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
| | - Trudy F C Mackay
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; Program in Genetics, North Carolina State University, Raleigh, North Carolina, 27695, United States of America; W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, 27695, United States of America
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15
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Cornell RB, Ridgway ND. CTP:phosphocholine cytidylyltransferase: Function, regulation, and structure of an amphitropic enzyme required for membrane biogenesis. Prog Lipid Res 2015; 59:147-71. [PMID: 26165797 DOI: 10.1016/j.plipres.2015.07.001] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 07/07/2015] [Accepted: 07/07/2015] [Indexed: 12/12/2022]
Abstract
CTP:phosphocholine cytidylyltransferase (CCT) catalyzes a rate-limiting and regulated step in the CDP-choline pathway for the synthesis of phosphatidylcholine (PC) and PC-derived lipids. Control of CCT activity is multi-layered, and includes direct regulation by reversible membrane binding involving a built-in lipid compositional sensor. Thus CCT contributes to phospholipid compositional homeostasis. CCT also modifies the curvature of its target membrane. Knowledge of CCT structure and regulation of its catalytic function are relatively advanced compared to many lipid metabolic enzymes, and are reviewed in detail. Recently the genetic origins of two human developmental and lipogenesis disorders have been traced to mutations in the gene for CCTα.
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Affiliation(s)
- Rosemary B Cornell
- Department of Molecular Biology and Biochemistry and the Department of Chemistry, Simon Fraser University, Burnaby, B.C. V5A-1S6, Canada.
| | - Neale D Ridgway
- Departments of Pediatrics, and Biochemistry and Molecular Biology, Atlantic Research Centre, Dalhousie University, Halifax, Nova Scotia B3H-4H7, Canada
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16
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Li C, Xia Y. Vacuolar ATPase subunit H is essential for the survival and moulting of Locusta migratoria manilensis. INSECT MOLECULAR BIOLOGY 2012; 21:405-413. [PMID: 22642225 DOI: 10.1111/j.1365-2583.2012.01147.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Vacuolar (H(+) )-ATPase (V-ATPase) functions as an electrogenic pump, transporting protons from the cytoplasm to the extracellular fluid to generate cell-negative membrane voltage. The V-ATPase subunit H, encoded by Vhasfd, is required for V-ATPase activity. In this study, the gene encoding V-ATPase subunit H from Locusta migratoria manilensis was cloned, and designated as Lm-Vhasfd. The complete cDNA sequence is 2018 bp, with an open reading frame encoding 515 amino acid residues. Semi-quantitative reverse transcription PCR (RT-PCR) showed that Lm-Vhasfd transcription is high in the haemolymph, midgut, trunk and leg, but relatively low in the fat body and head tissues. Injection with a specific double-strand RNA (dsRNA) led to a significant decrease in Lm-Vhasfd mRNA, V-ATPase enzyme activity and ATP concentration. Bioassays showed that silencing Lm-Vhasfd led to the death of individuals and various moulting defects. The accumulative mortality of the RNA interference (RNAi) mutant 11 days post-injection was 96.7%, which was conspicuously higher than that seen in wild type locusts. These RNAi phenotypes demonstrate that Lm-Vhasfd is essential for the growth and moulting of L. migratoria manilensis.
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Affiliation(s)
- C Li
- Genetic Engineering Research Center, School of Bioengineering, Chongqing Engineering Research Center for Fungal Insecticide, The Key Laboratory of Gene Function and Expression Regulation, Chongqing University, Chongqing, China
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17
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Remolina SC, Chang PL, Leips J, Nuzhdin SV, Hughes KA. Genomic basis of aging and life-history evolution in Drosophila melanogaster. Evolution 2012; 66:3390-403. [PMID: 23106705 DOI: 10.1111/j.1558-5646.2012.01710.x] [Citation(s) in RCA: 111] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Natural diversity in aging and other life-history patterns is a hallmark of organismal variation. Related species, populations, and individuals within populations show genetically based variation in life span and other aspects of age-related performance. Population differences are especially informative because these differences can be large relative to within-population variation and because they occur in organisms with otherwise similar genomes. We used experimental evolution to produce populations divergent for life span and late-age fertility and then used deep genome sequencing to detect sequence variants with nucleotide-level resolution. Several genes and genome regions showed strong signatures of selection, and the same regions were implicated in independent comparisons, suggesting that the same alleles were selected in replicate lines. Genes related to oogenesis, immunity, and protein degradation were implicated as important modifiers of late-life performance. Expression profiling and functional annotation narrowed the list of strong candidate genes to 38, most of which are novel candidates for regulating aging. Life span and early age fecundity were negatively correlated among populations; therefore, the alleles we identified also are candidate regulators of a major life-history trade-off. More generally, we argue that hitchhiking mapping can be a powerful tool for uncovering the molecular bases of quantitative genetic variation.
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Affiliation(s)
- Silvia C Remolina
- Department of Animal Biology, University of Illinois, Urbana-Champaign, 505 S. Goodwin Ave, Urbana, Illinois 61801, USA
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18
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Kreutzmann P, Franz C, Schönfeld P. Minocycline forms complexes with manganese in vitro: explaining reported beneficial effects in manganese treated Drosophila melanogaster. Toxicology 2012; 300:100-1. [PMID: 22561279 DOI: 10.1016/j.tox.2012.04.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Accepted: 04/20/2012] [Indexed: 11/30/2022]
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19
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Awofala AA, Davies JA, Jones S. Functional roles for redox genes in ethanol sensitivity in Drosophila. Funct Integr Genomics 2012; 12:305-15. [DOI: 10.1007/s10142-012-0272-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 02/23/2012] [Accepted: 02/28/2012] [Indexed: 01/15/2023]
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20
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Paik D, Jang YG, Lee YE, Lee YN, Yamamoto R, Gee HY, Yoo S, Bae E, Min KJ, Tatar M, Park JJ. Misexpression screen delineates novel genes controlling Drosophila lifespan. Mech Ageing Dev 2012; 133:234-45. [PMID: 22366109 DOI: 10.1016/j.mad.2012.02.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Revised: 02/01/2012] [Accepted: 02/14/2012] [Indexed: 12/20/2022]
Abstract
In an initial preliminary screen we identified factors associated with controlling Drosophila aging by examining longevity in adults where EP elements induced over-expression or antisense-RNA at genes adjacent to each insertion. Here, we study 45 EP lines that initially showed at least 10% longer mean lifespan than controls. These 45 lines and a daughterless (da)-Gal4 stock were isogenized into a CS10 wild-type background. Sixteen EP lines corresponding to 15 genes significantly extended lifespan when their target genes were driven by da-Gal4. In each case, the target genes were seen to be over-expressed. Independently derived UAS-gene transgenic stocks were available or made for two candidates: ImpL2 which is ecdysone-inducible gene L2, and CG33138, 1,4-alpha-glucan branching enzyme. With both, adult lifespan was increased upon over-expression via the GeneSwitch inducible Gal4 driver system. Several genes in this set of 15 correspond to previously discovered longevity assurance systems such as insulin/IGF-1 signaling, gene silencing, and autophagy; others suggest new potential mechanisms for the control of aging including mRNA synthesis and maturation, intracellular vesicle trafficking, and neuroendocrine regulation.
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Affiliation(s)
- Donggi Paik
- Department of Physiology, College of Medicine, Korea University, 126-1 Anam-Dong 5 Ga, Seongbuk-Gu, Seoul 136-705, Republic of Korea
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21
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Moskalev AA, Smit-McBride Z, Shaposhnikov MV, Plyusnina EN, Zhavoronkov A, Budovsky A, Tacutu R, Fraifeld VE. Gadd45 proteins: relevance to aging, longevity and age-related pathologies. Ageing Res Rev 2012; 11:51-66. [PMID: 21986581 PMCID: PMC3765067 DOI: 10.1016/j.arr.2011.09.003] [Citation(s) in RCA: 106] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2011] [Revised: 09/25/2011] [Accepted: 09/27/2011] [Indexed: 12/12/2022]
Abstract
The Gadd45 proteins have been intensively studied, in view of their important role in key cellular processes. Indeed, the Gadd45 proteins stand at the crossroad of the cell fates by controlling the balance between cell (DNA) repair, eliminating (apoptosis) or preventing the expansion of potentially dangerous cells (cell cycle arrest, cellular senescence), and maintaining the stem cell pool. However, the biogerontological aspects have not thus far received sufficient attention. Here we analyzed the pathways and modes of action by which Gadd45 members are involved in aging, longevity and age-related diseases. Because of their pleiotropic action, a decreased inducibility of Gadd45 members may have far-reaching consequences including genome instability, accumulation of DNA damage, and disorders in cellular homeostasis - all of which may eventually contribute to the aging process and age-related disorders (promotion of tumorigenesis, immune disorders, insulin resistance and reduced responsiveness to stress). Most recently, the dGadd45 gene has been identified as a longevity regulator in Drosophila. Although further wide-scale research is warranted, it is becoming increasingly clear that Gadd45s are highly relevant to aging, age-related diseases (ARDs) and to the control of life span, suggesting them as potential therapeutic targets in ARDs and pro-longevity interventions.
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Affiliation(s)
- Alexey A Moskalev
- Group of Molecular Radiobiology and Gerontology, Institute of Biology, Komi Science Center of Russian Academy of Sciences.
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22
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Lawlor KT, O'Keefe LV, Samaraweera SE, van Eyk CL, McLeod CJ, Maloney CA, Dang THY, Suter CM, Richards RI. Double-stranded RNA is pathogenic in Drosophila models of expanded repeat neurodegenerative diseases. Hum Mol Genet 2011; 20:3757-68. [PMID: 21724553 DOI: 10.1093/hmg/ddr292] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The pathogenic agent responsible for the expanded repeat diseases, a group of neurodegenerative diseases that includes Huntington's disease is not yet fully understood. Expanded polyglutamine (polyQ) is thought to be the toxic agent in certain cases, however, not all expanded repeat disease genes can encode a polyQ sequence. Since a repeat-containing RNA intermediary is common to all of these diseases, hairpin-forming single-stranded RNA has been investigated as a potential common pathogenic agent. More recently, it has become apparent that most of the expanded repeat disease loci have transcription occurring from both strands, raising the possibility that the complementary repeat RNAs could form a double-stranded structure. In our investigation using Drosophila models of these diseases, we identified a fortuitous integration event that models bidirectional repeat RNA transcription with the resultant flies exhibiting inducible pathology. We therefore established further lines of Drosophila expressing independent complementary repeat RNAs and found that these are toxic. The Dicer pathway is essential for this toxicity and in neuronal cells accounts for metabolism of the high copy number (CAG.CUG)(100) double-stranded RNAs down to (CAG)(7) single-stranded small RNAs. We also observe significant changes to the microRNA profile in neurons. These data identify a novel pathway through which double-stranded repeat RNA is toxic and capable of eliciting symptoms common to neurodegenerative human diseases resulting from dominantly inherited expanded repeats.
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Affiliation(s)
- Kynan T Lawlor
- ARC Special Research Centre for the Molecular Genetics of Development and Discipline of Genetics, School of Molecular and Biomedical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
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23
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Plyusnina EN, Shaposhnikov MV, Moskalev AA. Increase of Drosophila melanogaster lifespan due to D-GADD45 overexpression in the nervous system. Biogerontology 2011; 12:211-26. [PMID: 21153055 DOI: 10.1007/s10522-010-9311-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2010] [Accepted: 11/29/2010] [Indexed: 01/09/2023]
Abstract
The GADD45 protein family plays an important role in stress signaling and participates in the integration of cellular response to environmental and physiological factors. GADD45 proteins are involved in cell cycle control, DNA repair, apoptosis, cell survival and aging, and inflammatory response by complicated protein-protein interactions. In Drosophila melanogaster a single D-GADD45 ortholog (GG1086) has been described. Our data show that overexpression of the D-GADD45 gene in the nervous system leads to a significantly increase of Drosophila lifespan without a decrease in fecundity and locomotor activity. The lifespan extension effect is more pronounced in males than in females, which agrees with the sex-dependent expression of this gene. The longevity of D. melanogaster with D-GADD45 overexpression is apparently due to more efficient recognition and repair of DNA damage, as the DNA comet assay showed that the spontaneous DNA damage in the larva neuroblasts is reduced with statistical significance.
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Affiliation(s)
- E N Plyusnina
- Ural Division, Komi Science Center, Institute of Biology, Russian Academy of Sciences, Syktyvkar, Russia
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24
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Magwire MM, Yamamoto A, Carbone MA, Roshina NV, Symonenko AV, Pasyukova EG, Morozova TV, Mackay TFC. Quantitative and molecular genetic analyses of mutations increasing Drosophila life span. PLoS Genet 2010; 6:e1001037. [PMID: 20686706 PMCID: PMC2912381 DOI: 10.1371/journal.pgen.1001037] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2010] [Accepted: 06/23/2010] [Indexed: 01/21/2023] Open
Abstract
Understanding the genetic and environmental factors that affect variation in life span and senescence is of major interest for human health and evolutionary biology. Multiple mechanisms affect longevity, many of which are conserved across species, but the genetic networks underlying each mechanism and cross-talk between networks are unknown. We report the results of a screen for mutations affecting Drosophila life span. One third of the 1,332 homozygous P-element insertion lines assessed had quantitative effects on life span; mutations reducing life span were twice as common as mutations increasing life span. We confirmed 58 mutations with increased longevity, only one of which is in a gene previously associated with life span. The effects of the mutations increasing life span were highly sex-specific, with a trend towards opposite effects in males and females. Mutations in the same gene were associated with both increased and decreased life span, depending on the location and orientation of the P-element insertion, and genetic background. We observed substantial--and sex-specific--epistasis among a sample of ten mutations with increased life span. All mutations increasing life span had at least one deleterious pleiotropic effect on stress resistance or general health, with different patterns of pleiotropy for males and females. Whole-genome transcript profiles of seven of the mutant lines and the wild type revealed 4,488 differentially expressed transcripts, 553 of which were common to four or more of the mutant lines, which include genes previously associated with life span and novel genes implicated by this study. Therefore longevity has a large mutational target size; genes affecting life span have variable allelic effects; alleles affecting life span exhibit antagonistic pleiotropy and form epistatic networks; and sex-specific mutational effects are ubiquitous. Comparison of transcript profiles of long-lived mutations and the control line reveals a transcriptional signature of increased life span.
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Affiliation(s)
- Michael M Magwire
- Department of Genetics and W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, North Carolina, United States of America
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25
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Zhang H, Li Y, Yang J, Tominaga K, Pereira-Smith OM, Tower J. Conditional inactivation of MRG15 gene function limits survival during larval and adult stages of Drosophila melanogaster. Exp Gerontol 2010; 45:825-33. [PMID: 20600782 DOI: 10.1016/j.exger.2010.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2010] [Revised: 05/30/2010] [Accepted: 06/04/2010] [Indexed: 11/24/2022]
Abstract
The mammalian MRG15 gene encodes a chromodomain protein predicted to bind to chromatin via methylated histone tails. Human MORF4 encodes a related but truncated protein that is capable of promoting cellular senescence in a subset of human tumor cell lines. Drosophila contains a single homolog of human MRG15, called DmMRG15. Null mutation of MRG15 is embryonic-lethal in mice and Drosophila, making the study of MRG15 requirements in adults difficult. In these studies the DmMRG15 gene was over-expressed in Drosophila, during developmental stages and in adults, using a doxycycline-regulated system (Tet-on). In addition an inverted-repeated construct was designed to inactivate DmMRG15 via the RNAi pathway, and RNAi constructs were expressed using both the Tet-on system and Geneswitch system. The DmMRG15 protein was readily expressed in adult flies in a doxycycline-dependent manner. A truncated form of DmMRG15 (called DmMT1) was designed to mimic the structure of human MORF4, and expression of this mutant protein or the inverted-repeat constructs inhibited fertility in females. Conditional expression of the DmMRG15 inverted-repeat constructs during larval development or in adults caused reductions in survival. These experiments indicate that Drosophila DmMRG15 gene function is required for female fertility, larval survival and adult life span, and provide reagents that should be useful for further dissecting the role of DmMRG15 in cell proliferation and aging.
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Affiliation(s)
- Hongjun Zhang
- Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA
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26
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Drosophila melanogaster p53 has developmental stage-specific and sex-specific effects on adult life span indicative of sexual antagonistic pleiotropy. Aging (Albany NY) 2009; 1:903-36. [PMID: 20157574 PMCID: PMC2815744 DOI: 10.18632/aging.100099] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2009] [Accepted: 10/26/2009] [Indexed: 11/25/2022]
Abstract
Truncated and mutant forms ofp53 affect life span in Drosophila, nematodes and mice, however the role of wild-type p53 in aging remains unclear. Here conditional over-expression of both wild-type and mutant p53 transgenes indicated that, in adult flies, p53 limits life span in females but favors life span in males. In contrast, during larval development, moderate over-expression of p53 produced both male and female adults with increased life span. Mutations of the endogenous p53 gene also had sex-specific effects on life span under control and stress conditions: null mutation of p53 increased life span in females, and had smaller, more variable effects in males. These developmental stage-specific and sex-specific effects of p53 on adult life span are consistent with a sexual antagonistic pleiotropy model.
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Li Y, Tower J. Adult-specific over-expression of the Drosophila genes magu and hebe increases life span and modulates late-age female fecundity. Mol Genet Genomics 2008; 281:147-62. [PMID: 19011900 DOI: 10.1007/s00438-008-0400-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2008] [Accepted: 10/24/2008] [Indexed: 02/01/2023]
Abstract
During Drosophila aging mortality rate increases exponentially and progeny production per animal declines dramatically, correlating with decreased number and division of somatic and germ-line stem cells in the gonads. To search for genes that might promote both longevity and fecundity, a P element transposon (PdL), containing an outwardly directed, doxycycline-inducible promoter was used to generate conditional mutations. Mutant females were screened for increased fecundity at late ages in the presence of doxycycline. Two genes were identified, named hebe (CG1623) and magu (CG2264), that when over-expressed in adult flies could increase life span by approximately 5-30% in both sexes and increase female fecundity at late ages. Transcripts for magu are enriched in the Drosophila stem cell niche region, and magu encodes a protein related to the human SMOC2 regulator of angiogenesis. While moderate over-expression of magu in adult females increased fecundity at late ages, high-level over-expression of magu was maternal-effect lethal. The data demonstrate that adult-specific over-expression of hebe and magu can increase life span and modulate female fecundity, and provide further evidence against obligatory trade-offs between reproduction and longevity.
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Affiliation(s)
- Yishi Li
- Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA
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28
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Tilley DM, Evans CR, Larson TM, Edwards KA, Friesen JA. Identification and Characterization of the Nuclear Isoform of Drosophila melanogaster CTP:Phosphocholine Cytidylyltransferase. Biochemistry 2008; 47:11838-46. [DOI: 10.1021/bi801161s] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Dana M. Tilley
- Department of Chemistry and Department of Biological Sciences, Illinois State University, Normal, Illinois 61790
| | - Chadrick R. Evans
- Department of Chemistry and Department of Biological Sciences, Illinois State University, Normal, Illinois 61790
| | - Troy M. Larson
- Department of Chemistry and Department of Biological Sciences, Illinois State University, Normal, Illinois 61790
| | - Kevin A. Edwards
- Department of Chemistry and Department of Biological Sciences, Illinois State University, Normal, Illinois 61790
| | - Jon A. Friesen
- Department of Chemistry and Department of Biological Sciences, Illinois State University, Normal, Illinois 61790
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29
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Curtis C, Landis GN, Folk D, Wehr NB, Hoe N, Waskar M, Abdueva D, Skvortsov D, Ford D, Luu A, Badrinath A, Levine RL, Bradley TJ, Tavaré S, Tower J. Transcriptional profiling of MnSOD-mediated lifespan extension in Drosophila reveals a species-general network of aging and metabolic genes. Genome Biol 2008; 8:R262. [PMID: 18067683 PMCID: PMC2246264 DOI: 10.1186/gb-2007-8-12-r262] [Citation(s) in RCA: 111] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2007] [Revised: 09/12/2007] [Accepted: 12/09/2007] [Indexed: 12/16/2022] Open
Abstract
Transcriptional profiling of MnSOD-mediated life-span extension in Drosophila identifies a set of candidate biomarkers of aging, consisting primarily of carbohydrate metabolism and electron transport genes. Background 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. Results 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. Conclusion 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.
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Affiliation(s)
- Christina Curtis
- Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-1340, USA.
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30
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Abstract
An F(1) mutagenesis strategy was developed to identify conditional mutations affecting extracellular matrix (ECM) patterning. Tubulogenesis requires coordinated movement of epithelial cells and deposition of a multilayered ECM. In the Drosophila ovary, an epithelium of follicle cells creates the eggshells, including the paired tubular dorsal appendages (DAs) that act as breathing tubes for the embryo. A P-element mutagenesis strategy allowed for conditional overexpression of hundreds of genes in follicle cells. Conditional phenotypes were scored at the level of individual mutant (F(1)) female flies. ECM pattern regulators were readily identified including MAPK signaling gene ets domain lacking (fused DAs), Wnt pathway genes frizzled 3 and osa (long DAs), Hh pathway gene debra (branched DAs), and transcription factor genes sima/HIF-1alpha, ush, lilli, Tfb1, broad, and foxo. In moving cells the [Ca(2+)]/calcineurin pathway can regulate adhesion to ECM while adherens junctions link cells together. Accordingly, thin eggshell and DA phenotypes were identified for the calcineurin regulator calreticulin and the adherens junction component arc. Finally a tubulogenesis defect phenotype was identified for the gene pterodactyl, homologous to the mammalian serine/threonine receptor-associated protein (STRAP) that integrates the TGF-beta and PI3K/AKT signaling pathways. Because phenotypes can be scored in each mutant fly before and after gene induction, this F(1) conditional mutagenesis strategy should allow for increased scale in screens for mutations affecting repeated (reiterated) events in adult animals, including gametogenesis, movement, behavior, and learning.
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Ren C, Webster P, Finkel SE, Tower J. Increased internal and external bacterial load during Drosophila aging without life-span trade-off. Cell Metab 2007; 6:144-52. [PMID: 17681150 DOI: 10.1016/j.cmet.2007.06.006] [Citation(s) in RCA: 252] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2007] [Revised: 06/10/2007] [Accepted: 06/18/2007] [Indexed: 01/20/2023]
Abstract
The role of microbial load during aging of the adult fruit fly Drosophila melanogaster is incompletely understood. Here we show dramatic increases in aerobic and anaerobic bacterial load during aging, both inside the body and on the surface. Scanning electron microscopy and cell staining analyses of the surface of aged flies detected structures resembling abundant small bacteria and bacterial biofilms. Bacteria cultured from laboratory flies included aerobic species Acetobacter aceti, Acetobacter tropicalis, and Acetobacter pasteurianus and anaerobic species Lactobacillus plantarum and Lactobacillus sp. MR-2; Lactobacillus homohiochii, Lactobacillus fructivorans, and Lactobacillus brevis were identified by DNA sequencing. Reducing bacterial load and antimicrobial peptide gene expression by axenic culture or antibiotics had no effect on life span. We conclude that Drosophila can tolerate a significant bacterial load and mount a large innate immune response without a detectable trade-off with life span; furthermore, microbes do not seem to limit life span under optimized laboratory conditions.
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Affiliation(s)
- Chunli Ren
- Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA
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32
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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; 42:483-97. [PMID: 17349761 PMCID: PMC1992522 DOI: 10.1016/j.exger.2007.01.004] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2006] [Revised: 12/27/2006] [Accepted: 01/09/2007] [Indexed: 10/23/2022]
Abstract
The conditional systems Tet-on and Geneswitch were compared and optimized for the tissue-specific expression of transgenes and manipulation of life span in adult Drosophila. Two versions of Tet-on system reverse-tetracycline-Trans-Activator (rtTA) were compared: the original rtTA, and rtTAM2-alt containing mutations designed to optimize regulation and expression. The rtTAM2-alt version gave less leaky expression of target constructs in the absence of doxycyline, however the absolute level of expression that could be achieved was less than that produced by rtTA, in contrast to a previous report. Existing UAS-rtTAM2-alt insertions were re-balanced, and combined with several tissue-general and tissue-specific GAL4 driver lines to yield tissue-specific, doxycyline-inducible transgene expression over three orders of magnitude. The Geneswitch (GS) system also had low background, but the absolute level of expression was low relative to Tet-on. Consequently, actin5C-GS multi-insert chromosomes were generated and higher-level expression was achieved without increased background. Moderate level over-expression of MnSOD has beneficial effects on life span. Here high-level over-expression of MnSOD was found to have toxic effects. In contrast, motor-neuron-specific over-expression of MnSOD had no detectable effect on life span. The results suggest that motor-neuron tissue is not the essential tissue for either MnSOD induced longevity or toxicity in adult males.
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Affiliation(s)
| | | | | | | | | | | | | | - John Tower
- Corresponding author: John Tower, PhD, Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Room 201, Los Angeles, CA 90089-2910, (213) 740-5384 FAX-8631,
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Lai CQ, Parnell LD, Lyman RF, Ordovas JM, Mackay TFC. Candidate genes affecting Drosophila life span identified by integrating microarray gene expression analysis and QTL mapping. Mech Ageing Dev 2006; 128:237-49. [PMID: 17196240 DOI: 10.1016/j.mad.2006.12.003] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2006] [Revised: 09/20/2006] [Accepted: 12/01/2006] [Indexed: 01/22/2023]
Abstract
The current increase in life expectancy observed in industrialized societies underscores the need to achieve a better understanding of the aging process that could help the development of effective strategies to achieve healthy aging. This will require not only identifying genes involved in the aging process, but also understanding how their effects are modulated by environmental factors, such as dietary intake and life style. Although the human genome has been sequenced, it may be impractical to study humans or other long-lived organisms to gain a mechanistic understanding about the aging process. Thus, short-lived animal models are essential to identifying the mechanisms and genes that affect the rate and quality of aging as a first step towards identifying genetic variants in humans. In this study, we investigated gene expression changes between two strains of Drosophila (Oregon and 2b) for which quantitative trait loci (QTLs) affecting life span were identified previously. We collected males and females from both strains at young and old ages, and assessed whole genome variation in transcript abundance using Affymetrix GeneChips. We observed 8217 probe sets with detectable transcripts. A total of 2371 probe sets, representing 2220 genes, exhibited significant changes in transcript abundance with age; and 839 probe sets were differentially expressed between Oregon and 2b. We focused on the 359 probe sets (representing 354 genes) that exhibited significant changes in gene expression both with age and between strains. We used these genes to integrate the analysis of microarray gene expression data, bioinformatics, and the results of genetic mapping studies reported previously, to identify 49 candidate genes and four pathways that could potentially be responsible for regulating life span and involved in the process of aging in Drosophila and humans.
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Affiliation(s)
- Chao-Qiang Lai
- JM-USDA Human Nutrition Research Center on Aging, Nutrition and Genomics, Tufts University, Boston, MA 02111, United States.
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Tower J. Sex-specific regulation of aging and apoptosis. Mech Ageing Dev 2006; 127:705-18. [PMID: 16764907 DOI: 10.1016/j.mad.2006.05.001] [Citation(s) in RCA: 104] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2006] [Revised: 04/17/2006] [Accepted: 05/04/2006] [Indexed: 12/20/2022]
Abstract
Genetic analysis of Drosophila, mice and humans indicates that gene alleles, mutations and transgenes that affect life span tend to do so differently depending on the sex of the organism. The likely reason for this is that the sexes are different genotypes (e.g., X/X vs. X/Y) and face quite different environments: e.g., to reproduce, males have to mate with females while females have to mate with males. Genes are subject to different genetic interactions and different gene-by-environment effects in male vs. female. The consequence is that through evolution certain genes are differently selected and optimized for each sex. Both the mitochondrial genome and the X chromosome are asymmetrically inherited in Drosophila and mammals; through evolution these genes spend relatively more time under selection in females and are therefore expected to be better optimized for function in the female than in the male. Consistent with this the Drosophila X chromosome has been found to be a hotspot for sexually antagonistic fitness variation. Old Drosophila and old mammals exhibit apoptosis-an observation consistent with the idea that the mitochondria are less functional during aging due to maternal-only inheritance. One feature of aging that is common to Drosophila and mammals is that females tend to live longer than males, and this may be due in part to sub-optimal mitochondrial function in males. The data support the conclusion that a significant part of the aging phenotype is due to antagonistic pleiotropy of gene function between the sexes. Liberal application of Occam's razor yields a molecular model for the co-regulation of sex, apoptosis and life span based on the on/off status of a single gene: Sxl in Drosophila melanogaster and Xist in humans. Aging may simply represent an ancient and conserved mechanism by which genes re-assort.
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Affiliation(s)
- John Tower
- Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, University Park, Los Angeles, 90089-2910, USA.
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35
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Blalock EM, Chen KC, Stromberg AJ, Norris CM, Kadish I, Kraner SD, Porter NM, Landfield PW. Harnessing the power of gene microarrays for the study of brain aging and Alzheimer's disease: statistical reliability and functional correlation. Ageing Res Rev 2005; 4:481-512. [PMID: 16257272 DOI: 10.1016/j.arr.2005.06.006] [Citation(s) in RCA: 80] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2005] [Accepted: 06/17/2005] [Indexed: 11/15/2022]
Abstract
During normal brain aging, numerous alterations develop in the physiology, biochemistry and structure of neurons and glia. Aging changes occur in most brain regions and, in the hippocampus, have been linked to declining cognitive performance in both humans and animals. Age-related changes in hippocampal regions also may be harbingers of more severe decrements to come from neurodegenerative disorders such as Alzheimer's disease (AD). However, unraveling the mechanisms underlying brain aging, AD and impaired function has been difficult because of the complexity of the networks that drive these aging-related changes. Gene microarray technology allows massively parallel analysis of most genes expressed in a tissue, and therefore is an important new research tool that potentially can provide the investigative power needed to address the complexity of brain aging/neurodegenerative processes. However, along with this new analytic power, microarrays bring several major bioinformatics and resource problems that frequently hinder the optimal application of this technology. In particular, microarray analyses generate extremely large and unwieldy data sets and are subject to high false positive and false negative rates. Concerns also have been raised regarding their accuracy and uniformity. Furthermore, microarray analyses can result in long lists of altered genes, most of which may be difficult to evaluate for functional relevance. These and other problems have led to some skepticism regarding the reliability and functional usefulness of microarray data and to a general view that microarray data should be validated by an independent method. Given recent progress, however, we suggest that the major problem for current microarray research is no longer validity of expression measurements, but rather, the reliability of inferences from the data, an issue more appropriately redressed by statistical approaches than by validation with a separate method. If tested using statistically defined criteria for reliability/significance, microarray data do not appear a priori to require more independent validation than data obtained by any other method. In fact, because of added confidence from co-regulation, they may require less. In this article we also discuss our strategy of statistically correlating individual gene expression with biologically important endpoints designed to address the problem of evaluating functional relevance. We also review how work by ourselves and others with this powerful technology is leading to new insights into the complex processes of brain aging and AD, and to novel, more comprehensive models of aging-related brain change.
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Affiliation(s)
- E M Blalock
- Department of Molecular and Biomedical Pharmacology, University of Kentucky Medical Center, 800 Rose St. MS-309, Lexington, KY 40536-0084, USA.
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Poirier L, Seroude L. Genetic approaches to study aging in Drosophila melanogaster. AGE (DORDRECHT, NETHERLANDS) 2005; 27:165-82. [PMID: 23598651 PMCID: PMC3458491 DOI: 10.1007/s11357-005-2919-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2005] [Revised: 03/03/2005] [Accepted: 05/15/2005] [Indexed: 06/02/2023]
Abstract
The process of aging can be described as a progressive decline in an organism's function that invariably results in death. This decline results from the activities of intrinsic genetic factors within an organism. The relative contributions of the biological and environmental components to senescence are hard to measure, however different strategies have been devised in Drosophila melanogaster to isolate and identify genetic influences on aging. These strategies include selective breeding, quantitative trait loci (QTL) mapping and single gene mutant analysis. Selective breeding effectively demonstrated a genetic, heritable component to aging while QTL mapping located regions within the Drosophila genome carrying loci that influence the aging process. Within the past decade, single gene mutant analysis has facilitated the identification of specific genes whose activities play a determinative role in Drosophila aging. This review will focus on the application of selective breeding, QTL mapping and single gene mutant analysis used in Drosophila to study aging as well as the results obtained through these strategies to date.
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Affiliation(s)
- Luc Poirier
- Department of Biology, BioSciences Complex, Queen's University, Kingston, ON K7L 3N6 Canada
| | - Laurent Seroude
- Department of Biology, BioSciences Complex, Queen's University, Kingston, ON K7L 3N6 Canada
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Geiger-Thornsberry GL, Mackay TFC. Quantitative trait loci affecting natural variation in Drosophila longevity. Mech Ageing Dev 2004; 125:179-89. [PMID: 15013662 DOI: 10.1016/j.mad.2003.12.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2003] [Revised: 12/15/2003] [Accepted: 12/15/2003] [Indexed: 10/26/2022]
Abstract
Limited life span and senescence are universal phenomena, controlled by genetic and environmental factors whose interactions both limit life span and generate variation in life span between individuals, populations and species. To understand the genetic architecture of longevity it is necessary to know what loci affect variation in life span, what are the allelic effects at these loci and what molecular polymorphisms define quantitative trait locus (QTL) alleles. Here, we used quantitative complementation tests to determine whether genes that regulate longevity also contribute to naturally occurring variation in Drosophila life span. Inbred strains derived from a natural population were crossed to stocks containing null mutations (m) or deficiencies (Df) uncovering the candidate genes, maintained over a Balancer (Bal) chromosome. We measured the life span of the resulting F(1) genotypes, +(i)/m (Df) and +(i)/Bal, where +(i) denotes one of the i natural alleles. Failure of the QTL alleles to complement the candidate gene mutation is indicated by a significant cross (mutant versus wild-type allele of the candidate gene) by inbred line interaction term from analysis of variance of life span. Failure to complement indicates a genetic interaction between the candidate gene allele and the naturally occurring life span QTL, and implicates the candidate gene as potential cause of variation in longevity. Of the 16 candidate regions and genes tested, Df(2L)c17, Df(3L)Ly, Df(3L)AC1 and Df(3R)e-BS2 showed significant failure to complement wild-type alleles in both sexes, and an Alcohol dehydrogenase mutant failed to complement in females. Several genes that regulate life span (e.g., Superoxide dismutase, Catalase, and rosy) complemented the life span effects of wild-derived alleles, suggesting little natural variation affecting longevity at these loci, at least in this sample of alleles. Quantitative complementation tests are therefore useful for identifying QTL contributing to segregating genetic variation in life span in nature.
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Abstract
Genetic and environmental interventions that extend life span are a current focus in research on the biology of aging. Most of this work has focused on differences among genotypes and species. A recent study on fruit flies shows that life span extension because of dietary restriction can be highly sex-specific. Here we review the literature on sex-specific effects of 56 genetic and 41 environmental interventions that extend life span in Drosophila melanogaster. We found that only one-sixth of the experiments provided statistical tests of differences in response between males and females, suggesting that sex-specific effects have been largely ignored. When measured, the life span extension was female-biased in 8 of 16 cases, male-biased in 5 of 16 cases, and not significantly different in only 3 of 16 cases. We discuss possible explanations for the sex-specific differences and suggest various ways in which we might test these hypotheses. We argue that understanding sex differences in the response to life span-extending manipulations should lead to new insights about the basic mechanisms that underlie the biology of aging in both sexes.
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Affiliation(s)
- Joep M S Burger
- Department of Genetics, University of Georgia, Athens, GA 30602-7223, USA. @uga.edu
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Landis GN, Abdueva D, Skvortsov D, Yang J, Rabin BE, Carrick J, Tavaré S, Tower J. Similar gene expression patterns characterize aging and oxidative stress in Drosophila melanogaster. Proc Natl Acad Sci U S A 2004; 101:7663-8. [PMID: 15136717 PMCID: PMC419663 DOI: 10.1073/pnas.0307605101] [Citation(s) in RCA: 292] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2003] [Accepted: 03/30/2004] [Indexed: 12/24/2022] Open
Abstract
Affymetrix GeneChips were used to measure RNA abundance for approximately 13,500 Drosophila genes in young, old, and 100% oxygen-stressed flies. Data were analyzed by using a recently developed background correction algorithm and a robust multichip model-based statistical analysis that dramatically increased the ability to identify changes in gene expression. Aging and oxidative stress responses shared the up-regulation of purine biosynthesis, heat shock protein, antioxidant, and innate immune response genes. Results were confirmed by using Northerns and transgenic reporters. Immune response gene promoters linked to GFP allowed longitudinal assay of gene expression during aging in individual flies. Immune reporter expression in young flies was partially predictive of remaining life span, suggesting their potential as biomonitors of aging.
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Affiliation(s)
- Gary N Landis
- Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-1340, USA
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Understanding the aging fly through physiological genetics. ACTA ACUST UNITED AC 2003. [DOI: 10.1016/s1566-3124(03)14007-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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