Lifespan changes: From wild type to ifg-1;rsks-1
20
NGM; OP50
30.6
59.38%
Double mutant ifg-1(RNAi);rsks-1(ok1255) has a lifespan of 30.6 days, while single mutant rsks-1(ok1255) has a lifespan of 21.0 days and wild type has a lifespan of 19.2 days.
Almost additive (positive)
Pan KZ et al., 2007, Inhibition of mRNA translation extends lifespan in Caenorhabditis elegans. Aging Cell. 6(1):111-9 17266680 Click here to select all mutants from this PubMed ID in the graph
Initiation Factor 4G (eIF4G) family
Locus: CELE_M110.4
Wormbase description: ifg-1 encodes, by alternative splicing, two orthologs of the translation initiation factor 4F, ribosome/mRNA-bridging subunit (eIF-4G); by homology, IFG-1 is predicted to function in poly(A) tail-dependent translation initiation; loss of ifg-1 activity in adult animals extends lifespan.
Ribosomal protein S6 kinase beta
Locus: CELE_Y47D3A.16
Wormbase description: rsks-1 encodes a putative ribosomal protein S6 kinase (S6K) required additively with IFG-1 for normally high levels of protein synthesis, and for normally short lifespan; RSKS-1's effect on lifespan is independent of DAF-16, ISP-1, and SIR-2.1, and does not correlate with juglone resistance, but does correlate with abnormally high resistance to starvation and (perhaps) thermotolerance; RSKS-1 is required for normal juglone resistance, as well as normally rapid growth and normal brood sizes; RSKS-1 is expressed in E-lineage embryonic cells, and in pharyngeal and hypodermal cells of larvae and adults; RSKS-1 is orthologous to human RPS6KB1 (OMIM:608938) and RPS6KB2 (OMIM:608939).
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SynergyAge database hosts high-quality, manually curated information about the synergistic and antagonistic lifespan effects of genetic interventions in model organisms, also allowing users to explore the longevity relationships between genes in a visual way.
If you would like to cite this database please use:
Bunu, G., Toren, D., Ion, C. et al. SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes. Sci Data 7, 366 (2020). https://doi.org/10.1038/s41597-020-00710-z
Group webpage: www.aging-research.group