ArticleeLife2021
Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- A multi-omics systems toxicology framework reveals amino acid-mediated stress adaptation to deltamethrin exposure in a yeast model.Scientific reports · 2026Article
- Footprints of Human Migration in the Population Structure of Wild Baker's Yeast.Molecular ecology · 2025Article
- A dual reporter system for intracellular and extracellular amino acid sensing in budding yeast.Molecular biology of the cell · 2025Article
- Auto-sumoylation of the yeast Ubc9 E2 SUMO-conjugating enzyme extends cellular lifespan.Nature communications · 2025Article
- Short lifespan is one's fate, long lifespan is one's achievement: lessons from Daphnia.GeroScience · 2024Article
- Molecular Mechanisms of Genotype-Dependent Lifespan Variation Mediated by Caloric Restriction: Insight from Wild Yeast Isolates.bioRxiv : the preprint server for biology · 2024Article
- Molecular mechanisms of genotype-dependent lifespan variation mediated by caloric restriction: insight from wild yeast isolates.Frontiers in aging · 2024Article
- The million-molecule challenge: a moonshot project to rapidly advance longevity intervention discovery.GeroScience · 2023Article
- Genetic effects on molecular network states explain complex traits.Molecular systems biology · 2023Article
- Distinct longevity mechanisms across and within species and their association with aging.Cell · 2023Article
- Nutrition Strategies Promoting Healthy Aging: From Improvement of Cardiovascular and Brain Health to Prevention of Age-Associated Diseases.Nutrients · 2022Review
- Antagonistic effects of mitochondrial matrix and intermembrane space proteases on yeast aging.BMC biology · 2022Article
- Multi-scale model suggests the trade-off between protein and ATP demand as a driver of metabolic changes during yeast replicative ageing.PLoS computational biology · 2022Article
- Review
- Combining Metabolomics and Experimental Evolution Reveals Key Mechanisms Underlying Longevity Differences in Laboratory EvolvedInternational journal of molecular sciences · 2022Article
- The choice of the objective function in flux balance analysis is crucial for predicting replicative lifespans in yeast.PloS one · 2022Article
- Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast.eLife · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
To understand the genetic basis and selective forces acting on longevity, it is useful to examine lifespan variation among closely related species, or ecologically diverse isolates of the same species, within a controlled environment. In particular, this approach may lead to understanding mechanisms underlying natural variation in lifespan. Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan (RLS). Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in RLS across wild yeast isolates, as well as genes, metabolites, and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism, and mitochondrial function in long-lived strains. Overall, our multiomic and lifespan analyses across diverse isolates of the same species shows how gene-environment interactions shape cellular processes involved in phenotypic variation such as lifespan.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.