journal article·2025-12Open access

Gut Microbial Genetic Variation Prolongs Host Healthy Longevity and Remodels Metabolome and Proteome in Drosophila Melanogaster

Liying Wang, Ziling Yang, Yulu Pang, Xinyue Wu, Xinrong Zhang, Tao Zhu, Xiaoyue Ding, Wei Liu, Yuan Zhou, Pengcheng Zhang, Ying Li, Zuobin Zhu

Advanced Science· Volume 12· Issue 47

Abstract

Abstract Microbial genetic variation plays a crucial role in shaping host‐microbe interactions; however, its impact on healthy aging remains largely unexplored. This study investigates how genetic variations in gut‐residing Saccharomyces cerevisiae affect the health and lifespan of Drosophila melanogaster . This study identifies 14 yeast mutants that significantly extended the lifespan of D. melanogaster , with 13 mutants enhancing locomotor function in aged flies and two mutants improving reproductive capacity. Metabolomic and proteomic analyses reveal that these mutant yeasts rejuvenate the metabolic state of the aging gut and alter protein levels in tissues outside the gut. Most of the proteins with at least a two‐fold change are upregulated. The data also highlights mitochondrial energy metabolism as a key anti‐aging mechanism driven by the yeast. Notably, terpenoid metabolites such as ergosterol acetate showed strong lifespan‐extending effects and may influence energy metabolism. In conclusion, these findings establish a strong link between gut metabolic status and healthy aging, underscoring the significance of the microbial‐host mitochondrial axis as a key mechanism by which gut microbes promote host health and longevity. Furthermore, genetically engineered probiotics in model organisms offer a promising potential strategy for extending healthy lifespan, thus meriting further investigation in translational research models.
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Research context

OpenAlex topics: Genetics, Aging, and Longevity in Model Organisms · Insect Utilization and Effects · Insect symbiosis and bacterial influences

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Jiangsu Engineering Research Center for Precision Diagnosis and Treatment of Polygenic Critical Diseases Key Laboratory of Genetic Foundation and Clinical Application Department of Genetics Xuzhou Medical University Xuzhou 221000 China

Jiangsu Key Laboratory of Brain Disease and Bioinformation Research Center for Biochemistry and Molecular Biology Xuzhou Medical University Xuzhou 221004 China

Medical Technology College Xuzhou Medical University Xuzhou 221000 China

Funding

Natural Science Foundation of Jiangsu Province · National Natural Science Foundation of China · Graduate Research and Innovation Projects of Jiangsu Province · Xuzhou Science and Technology Program

References (64)

Show source-provided references
1. 10.1038/d41586-020-00203-410.1038/d41586-020-00203-4 ↗
2. 10.1080/19490976.2021.199483510.1080/19490976.2021.1994835 ↗
3. 10.1007/978-981-13-1117-8_910.1007/978-981-13-1117-8_9 ↗
4. 10.1038/s41591-019-0504-510.1038/s41591-019-0504-5 ↗
5. 10.1002/mnfr.20190060310.1002/mnfr.201900603 ↗
6. 10.1016/j.biopha.2022.11312210.1016/j.biopha.2022.113122 ↗
7. 10.1073/pnas.200010811710.1073/pnas.2000108117 ↗
8. 10.1017/S000711451500386410.1017/S0007114515003864 ↗
9. 10.1038/s41586-023-06893-w10.1038/s41586-023-06893-w ↗
10. 10.1038/s41588-021-00991-z10.1038/s41588-021-00991-z ↗
11. Li Y. · ISME J · 2023 · 17
12. 10.1016/j.jgg.2024.01.00210.1016/j.jgg.2024.01.002 ↗
13. 10.1016/j.cell.2017.05.03610.1016/j.cell.2017.05.036 ↗
14. 10.1016/j.chom.2019.07.01010.1016/j.chom.2019.07.010 ↗
15. 10.1016/j.cell.2018.04.02610.1016/j.cell.2018.04.026 ↗
16. 10.1038/d41573-019-00122-810.1038/d41573-019-00122-8 ↗
17. 10.1038/d41586-019-01654-010.1038/d41586-019-01654-0 ↗
18. 10.1186/s40168-018-0457-910.1186/s40168-018-0457-9 ↗
19. 10.3389/fvets.2023.127950610.3389/fvets.2023.1279506 ↗
20. 10.3390/jof805044410.3390/jof8050444 ↗
21. 10.1038/s41591-021-01390-x10.1038/s41591-021-01390-x ↗
22. 10.1371/journal.ppat.100839810.1371/journal.ppat.1008398 ↗
23. Ankrah N. Y. · mSystems · 2021 · 6
24. 10.1007/s10668-024-04969-910.1007/s10668-024-04969-9 ↗
25. 10.1164/ajrccm/138.1.15110.1164/ajrccm/138.1.151 ↗
26. 10.1038/nn186310.1038/nn1863 ↗
27. 10.1172/JCI6767410.1172/JCI67674 ↗
28. 10.1134/S000629792311002010.1134/S0006297923110020 ↗
29. 10.1073/pnas.212031111910.1073/pnas.2120311119 ↗
30. 10.1126/sciadv.adh499010.1126/sciadv.adh4990 ↗
31. 10.1038/s43587-023-00492-010.1038/s43587-023-00492-0 ↗
32. 10.1126/sciadv.add615510.1126/sciadv.add6155 ↗
33. 10.1016/j.cmet.2022.11.00510.1016/j.cmet.2022.11.005 ↗
34. 10.1172/JCI15845110.1172/JCI158451 ↗
35. 10.1016/j.cell.2016.12.04110.1016/j.cell.2016.12.041 ↗
36. 10.1038/s41593-023-01568-110.1038/s41593-023-01568-1 ↗
37. 10.1038/ng.366310.1038/ng.3663 ↗
38. 10.3390/md1806032110.3390/md18060321 ↗
39. 10.1038/s41586-023-06441-610.1038/s41586-023-06441-6 ↗
40. 10.3390/nu1212375910.3390/nu12123759 ↗
41. 10.1038/s41587-020-0603-310.1038/s41587-020-0603-3 ↗
42. 10.1038/s41576-020-00304-w10.1038/s41576-020-00304-w ↗
43. 10.1126/science.aav128210.1126/science.aav1282 ↗
44. 10.1038/s43587-022-00308-710.1038/s43587-022-00308-7 ↗
45. 10.1038/s41467-022-33850-410.1038/s41467-022-33850-4 ↗
46. 10.1098/rspb.2019.160410.1098/rspb.2019.1604 ↗
47. 10.1083/jcb.20170716810.1083/jcb.201707168 ↗
48. 10.1080/10408398.2022.204555910.1080/10408398.2022.2045559 ↗
49. 10.3390/ph1404029510.3390/ph14040295 ↗
50. 10.1039/D3NP00005B10.1039/D3NP00005B ↗
51. 10.1016/j.bbalip.2018.12.00210.1016/j.bbalip.2018.12.002 ↗
52. 10.1080/14756366.2019.168746110.1080/14756366.2019.1687461 ↗
53. 10.1016/j.cbpc.2023.10965610.1016/j.cbpc.2023.109656 ↗
54. 10.1038/s41574-021-00626-710.1038/s41574-021-00626-7 ↗
55. Koyle M. L. · J Vis Exp · 2016 · 30
56. 10.1038/s41467-019-08794-x10.1038/s41467-019-08794-x ↗
57. 10.1007/s11306-021-01859-310.1007/s11306-021-01859-3 ↗
58. 10.1016/j.cell.2020.05.03210.1016/j.cell.2020.05.032 ↗
59. 10.1093/bioinformatics/bty52810.1093/bioinformatics/bty528 ↗
60. 10.3390/metabo1005018610.3390/metabo10050186 ↗
61. 10.1186/1471-2105-9-55910.1186/1471-2105-9-559 ↗
62. 10.3389/fimmu.2023.108453110.3389/fimmu.2023.1084531 ↗
63. 10.1016/j.softx.2015.06.00110.1016/j.softx.2015.06.001 ↗
64. 10.1021/acs.jctc.1c0064510.1021/acs.jctc.1c00645 ↗