The age related markers lipofuscin and apoptosis show different genetic architecture by QTL mapping in short-lived Nothobranchius fish

Aging

Volumn 6, Issue 6, 2014, Pages 468-480

  Ng'oma, Enoch ^a   Reichwald, Kathrin ^a   Dorn, Alexander ^a   Wittig, Michael ^b   Balschun, Tobias ^c   Franke, Andre ^b   Platzer, Matthias ^a   Cellerino, Allesandro ^a,d  

^a FRITZ LIPMANN INSTITUTE   (Germany)

^b UNIVERSITY OF KIEL   (Germany)

^c Institut für Infektiologie und Pathobiologie   (Germany)

^d SCUOLA NORMALE SUPERIORE   (Italy)

Author keywords

Aging; Apoptosis; Lifespan; Lipofuscin; Nothobranchius; Quantitative trait loci

Indexed keywords

BIOLOGICAL MARKER; LIPOFUSCIN;

AGING; ANIMAL; APOPTOSIS; CYPRINODONTIFORMES; GENETICS; LONGEVITY; METABOLISM; QUANTITATIVE TRAIT LOCUS; TUNEL ASSAY;

AGING; ANIMALS; APOPTOSIS; BIOLOGICAL MARKERS; CYPRINODONTIFORMES; IN SITU NICK-END LABELING; LIPOFUSCIN; LONGEVITY; QUANTITATIVE TRAIT LOCI;

EID: 84903464167     PISSN: 19454589     EISSN: None     Source Type: Journal    
DOI: 10.18632/aging.100660     Document Type: Article

References (49)

1. Jonker MJ, Melis JP, Kuiper RV, van der Hoeven TV, Wackers PF, Robinson J, van der Horst GT, Dolle ME, Vijg J, Breit TM, Hoeijmakers JH and van Steeg H. Life spanning murine gene expression profiles in relation to chronological and pathological aging in multiple organs. Aging Cell. 2013; 12:901-909.
2. Pincus Z, Smith-Vikos T and Slack FJ. MicroRNA predictors of longevity in Caenorhabditis elegans. PLoS Genet. 2011; 7:e1002306.
3. Fonseca DB, Brancato CL, Prior AE, Shelton PMJ and Sheehy MRJ. Death rates reflect accumulating brain damage in arthropods. Proceedings of the Royal Society B: Biological Sciences. 2005; 272:1941-1948.
4. Jung T, Bader N and Grune T. Lipofuscin: formation, distribution, and metabolic consequences. Ann N Y Acad Sci. 2007; 1119:97-111.
5. Brunk UT and Terman A. Lipofuscin: mechanisms of agerelated accumulation and influence on cell function. Free radical biology & medicine. 2002; 33:611-619.
6. Höhn A and Grune T. Lipofuscin: formation, effects and role of macroautophagy. Redox Biol. 2013; 1:140-144.
7. Lopez-Otin C, Blasco MA, Partridge L, Serrano M and Kroemer G. The hallmarks of aging. Cell. 2013; 153:1194-1217.
8. Roberg K. Relocalization of cathepsin D and cytochrome c early in apoptosis revealed by immunoelectron microscopy. Lab Invest. 2001; 81:149-158.
9. Terman A, Gustafsson B and Brunk UT. The lysosomal-mitochondrial axis theory of postmitotic aging and cell death. Chem-Biol Interact. 2006; 163:29-37.
10. Soleiman A, Lukschal A, Hacker S, Aumayr K, Hoetzenecker K, Lichtenauer M, Moser B, Untersmayr E, Horvat R and Ankersmit HJ. Myocardial lipofuscin-laden lysosomes contain the apoptosis marker caspase-cleaved cytokeratin-18. Eur J Clin Invest. 2008; 38:708-712.
11. Genade T, Benedetti M, Terzibasi E, Roncaglia P, Valenzano DR, Cattaneo A and Cellerino A. Annual fishes of the genus Nothobranchius as a model system for aging research. Aging Cell. 2005; 4:223-233.
12. Terzibasi E, Valenzano DR and Cellerino A. The short-lived fish Nothobranchius furzeri as a new model system for aging studies. Experimental gerontology. 2007; 42:81-89.
13. Hartmann N, Reichwald K, Lechel A, Graf M, Kirschner J, Dorn A, Terzibasi E, Wellner J, Platzer M, Rudolph KL, Cellerino A and Englert C. Telomeres shorten while Tert expression increases during ageing of the short-lived fish Nothobranchius furzeri. Mechanisms of Ageing and Development. 2009; 130:290-296.
14. Di Cicco E, Tozzini ET, Rossi G and Cellerino A. The short-lived annual fish Nothobranchius furzeri shows a typical teleost aging process reinforced by high incidence of age-dependent neoplasias. Experimental gerontology. 2010; 46:249-256.
15. Terzibasi E, Valenzano DR, Benedetti M, Roncaglia P, Cattaneo A, Domenici L and Cellerino A. Large differences in aging phenotype between strains of the short-lived annual fish Nothobranchius furzeri. PLoS One. 2008; 3:e3866.
16. Terzibasi Tozzini E, Dorn A, Ng'oma E, Polaik M, Blaek R, Reichwald K, Petzold A, Watters B, Reichard M and Cellerino A. Parallel evolution of senescence in annual fishes in response to extrinsic mortality. BMC Evol Biol. 2013; 13:77.
17. Valenzano DR, Kirschner J, Kamber RA, Zhang E, Weber D, Cellerino A, Englert C, Platzer M, Reichwald K and Brunet A. Mapping loci associated with tail color and sex determination in the short-lived fish Nothobranchius furzeri. Genetics. 2009; 183:1385-1395.
18. Kirschner J, Weber D, Neuschl C, Franke A, Böttger M, Zielke L, Powalsky E, Groth M, Shagin D, Petzold A, Hartmann N, Englert C, Brockmann GA, et al. Mapping of quantitative trait loci controlling lifespan in the short-lived fish Nothobranchius furzeri- a new vertebrate model for age research. Aging Cell. 2012; 11:252-261.
19. Lucas-Sanchez A, Almaida-Pagan PF, Tocher DR, Mendiola P and de Costa J. Age-Related Changes in Mitochondrial Membrane Composition of Nothobranchius rachovii. The journals of gerontology Series A, Biological sciences and medical sciences. 2013; 17:17.
20. Deevey ES, Jr. Life tables for natural populations of animals. Q Rev Biol. 1947; 22:283-314.
21. Rauschert E. Survivorship Curves. Nature Education Knowledge. 2010; 318.
22. Couve E, Osorio R and Schmachtenberg O. Mitochondrial autophagy and lipofuscin accumulation in aging odontoblasts. J Dent Res. 2012; 91:696-701.
23. Xu H, Chen M, Manivannan A, Lois N and Forrester JV. Agedependent accumulation of lipofuscin in perivascular and subretinal microglia in experimental mice. Aging Cell. 2008; 7:58-68.
24. Strehler BL, Mark DD and Mildvan AS. Rate and magnitude of age pigment accumulation in the human myocardium. J Gerontol. 1959; 14:430-439.
25. Gray DA and Woulfe J. Lipofuscin and Aging: A Matter of Toxic Waste. Sci Aging Knowl Environ. 2005; 2005:re1.
26. Baranwal VK, Mikkilineni V, Zehr UB, Tyagi AK and Kapoor S. Heterosis: emerging ideas about hybrid vigour. J Exp Bot. 2012; 63:6309-6314.
27. Baack EJ and Rieseberg LH. A genomic view of introgression and hybrid speciation. Curr Opin Genet Dev. 2007; 17:513-518.
28. Lippman ZB and Zamir D. Heterosis: revisiting the magic. Trends Genet. 2007; 23:60-66.
29. Chen ZJ. Molecular mechanisms of polyploidy and hybrid vigor. Trends Plant Sci. 2010; 15: 57-71.
30. Ding L, Kuhne WW, Hinton DE, Song J and Dynan WS. Quantifiable biomarkers of normal aging in the Japanese medaka fish Oryzias latipes. PLoS One. 2010; 5:e13287.
31. Evert J, Lawler E, Bogan H and Perls T. Morbidity profiles of centenarians: survivors, delayers, and escapers. The journals of gerontology Series A, Biological sciences and medical sciences. 2003; 58:232-237.
32. Reichwald K, Lauber C, Nanda I, Kirschner J, Hartmann N, Schories S, Gausmann U, Taudien S, Schilhabel MB, Szafranski K, Glockner G, Schmid M, Cellerino A, et al. High tandem repeat content in the genome of the short-lived annual fish Nothobranchius furzeri: a new vertebrate model for aging research. Genome biology. 2009; 10:R16.
33. Rieseberg LH, Widmer A, Arntz AM and Burke JM. The genetic architecture necessary for transgressive segregation is common in both natural and domesticated populations. Philosophical transactions of the Royal Society of London Series B, Biological sciences. 2003; 358:1141-1147.
34. Solberg LC, Baum AE, Ahmadiyeh N, Shimomura K, Li R, Turek FW, Churchill GA, Takahashi JS and Redei EE. Sex- and lineage-specific inheritance of depression-like behavior in the rat. Mamm Genome. 2004; 15:648-662.
35. Shivaprasad PV, Dunn RM, Santos BA, Bassett A and Baulcombe DC. Extraordinary transgressive phenotypes of hybrid tomato are influenced by epigenetics and small silencing RNAs. EMBO J. 2012; 31:257-266.
36. Groszmann M, Greaves IK, Fujimoto R, James Peacock W and Dennis ES. The role of epigenetics in hybrid vigour. Trends Genet. 2013; 29:684-690.
37. Lander ES and Botstein D. Mapping Mendelian factors underlying quantitative traits Using RFLP linkage maps. Genetics. 1989; 121:185-199.
38. van Ooijen J. Accuracy of mapping quantitative trait loci in autogamous species. Theoretical and applied genetics. 1992; 84:803-811.
39. Mackay TFC, Stone EA and Ayroles JF. The genetics of quantitative traits: challenges and prospects. Nature Reviews Genetics. 2009; 10:565-577.
40. Zhang L, Wang S, Li H, Deng Q, Zheng A, Li S, Li P, Li Z and Wang J. Effects of missing marker and segregation distortion on QTL mapping in F2 populations. Theor Appl Genet. 2010; 121:1071-1082.
41. Xie S-Q, Wen J and Zhang Y-M. Multi-QTL Mapping for Quantitative Traits Using Epistatic Distorted Markers. PLoS One. 2013; 8:e68510.
42. Xu S. Quantitative trait locus mapping can benefit from segregation distortion. Genetics. 2008; 180:2201-2208.
43. Gagnaire P-A, Normandeau E, Pavey SA and Bernatchez L. Mapping phenotypic, expression and transmission ratio distortion QTL using RAD markers in the Lake Whitefish (Coregonus clupeaformis). Mol Ecol. 2013: 3036-3048.
44. Broman KW and Sen S. 2009. A guide to QTL mapping with R/qtl. New York: Springer.
45. Carlborg O and Haley CS. Epistasis: too often neglected in complex trait studies? Nat Rev Genet. 2004; 5:618-625.
46. Gao H, Granka JM and Feldman MW. On the Classification of Epistatic Interactions. Genetics. 2010; 184:827-837.
47. Broman KW, Wu H, Sen Ś and Churchill GA. R/qtl: QTL mapping in experimental crosses. Bioinformatics. 2003; 19:889-890.
48. Manichaikul A, Dupuis J, Sen S and Broman KW. Poor performance of bootstrap confidence intervals for the location of a quantitative trait locus. Genetics. 2006; 174:481-489.
49. Li H. A quick method to calculate QTL confidence interval. Journal of Genetics. 2011; 90:355-360.