Back to Search
Start Over
A model for damage load and its implications for the evolution of bacterial aging
- Source :
- PLoS genetics, vol 6, iss 8, Chao, L. (2010). A model for damage load and its implications for the evolution of bacterial aging. PLoS Genetics, 6(8). doi: 10.1371/journal.pgen.1001076. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/5sd8j73f, PLoS Genetics, PLoS Genetics, Vol 6, Iss 8 (2010)
- Publication Year :
- 2010
- Publisher :
- eScholarship, University of California, 2010.
-
Abstract
- Deleterious mutations appearing in a population increase in frequency until stopped by natural selection. The ensuing equilibrium creates a stable frequency of deleterious mutations or the mutational load. Here I develop the comparable concept of a damage load, which is caused by harmful non-heritable changes to the phenotype. A damage load also ensues when the increase of damage is opposed by selection. The presence of a damage load favors the evolution of asymmetrical transmission of damage by a mother to her daughters. The asymmetry is beneficial because it increases fitness variance, but it also leads to aging or senescence. A mathematical model based on microbes reveals that a cell lineage dividing symmetrically is immortal if lifetime damage rates do not exceed a threshold. The evolution of asymmetry allows the lineage to persist above the threshold, but the lineage becomes mortal. In microbes with low genomic mutation rates, it is likely that the damage load is much greater than the mutational load. In metazoans with higher genomic mutation rates, the damage and the mutational load could be of the same magnitude. A fit of the model to experimental data shows that Escherichia coli cells experience a damage rate that is below the threshold and are immortal under the conditions examined. The model estimates the asymmetry level of E. coli to be low but sufficient for persisting at higher damage rates. The model also predicts that increasing asymmetry results in diminishing fitness returns, which may explain why the bacterium has not evolved higher asymmetry.<br />Author Summary Almost all living organisms deteriorate with time through the process of aging or senescence. Because most studies on senescence examined organisms possessing a juvenile state, it was thought that bacteria, which reproduce by producing two apparently identical daughter cells, were immortal and not senescent. Recent studies have demonstrated that bacteria senesce because one daughter is allocated a larger share of the mother's load of non-genetic damage. Nonetheless, it is still equivocal whether bacterial senescence renders them mortal. I have developed a model that demonstrates that bacteria can be immortal if they experience damage below a threshold rate. A fit of the model to data shows that bacteria grown under standard laboratory conditions are immortal because they encounter a rate below the threshold. Because bacteria often experience higher damage rates in nature, it is likely that bacteria are generally mortal. The allocation of more damage to one daughter and the resulting mortality is the price bacteria pay to survive higher damage rates. These results suggest that senescence originated with the evolution of the first single-celled organisms and that it is ancestral in all multicellular organisms.
- Subjects :
- Senescence
Aging
Cancer Research
Lineage (genetic)
lcsh:QH426-470
DNA damage
media_common.quotation_subject
Evolutionary Biology/Evolutionary Ecology
Biology
medicine.disease_cause
Asymmetry
Theoretical
Genetic
Models
Genetics and Genomics/Population Genetics
medicine
Escherichia coli
Genetics
Selection, Genetic
Molecular Biology
Selection
Genetics (clinical)
Ecology, Evolution, Behavior and Systematics
media_common
Evolutionary Biology
Mutation
Microbiology/Microbial Evolution and Genomics
Natural selection
Models, Genetic
Human evolutionary genetics
Models, Theoretical
Genetics and Genomics/Microbial Evolution and Genomics
Phenotype
Biological Evolution
Computational Biology/Evolutionary Modeling
lcsh:Genetics
Evolutionary Biology/Microbial Evolution and Genomics
Computational Biology/Population Genetics
Research Article
DNA Damage
Developmental Biology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- PLoS genetics, vol 6, iss 8, Chao, L. (2010). A model for damage load and its implications for the evolution of bacterial aging. PLoS Genetics, 6(8). doi: 10.1371/journal.pgen.1001076. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/5sd8j73f, PLoS Genetics, PLoS Genetics, Vol 6, Iss 8 (2010)
- Accession number :
- edsair.doi.dedup.....1615a54a70917900797c8e1e2deba984