Phenotype switching of the mutation rate facilitates adaptive evolution
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Lobinska, Gabriela
[1
]
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Pilpel, Yitzhak
[1
,3
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Ram, Yoav
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Tel Aviv Univ, Fac Life Sci, Sch Zool, IL-6997801 Tel Aviv, Israel
Tel Aviv Univ, Sch Zool, POB 39040, IL-6997801 Tel Aviv, IsraelWeizmann Inst Sci, Dept Mol Genet, IL-76100 Rehovot, Israel
Ram, Yoav
[2
,4
]
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[1] Weizmann Inst Sci, Dept Mol Genet, IL-76100 Rehovot, Israel
[2] Tel Aviv Univ, Fac Life Sci, Sch Zool, IL-6997801 Tel Aviv, Israel
[3] Weizmann Inst Sci, Herzl St 234, IL-76100 Rehovot, Israel
[4] Tel Aviv Univ, Sch Zool, POB 39040, IL-6997801 Tel Aviv, Israel
The mutation rate plays an important role in adaptive evolution. It can be modified by mutator and anti-mutator alleles. Recent empirical evidence hints that the mutation rate may vary among genetically identical individuals: evidence from bacteria suggests that the mutation rate can be affected by expression noise of a DNA repair protein and potentially also by translation errors in various proteins. Importantly, this non-genetic variation may be heritable via a transgenerational epigenetic mode of inheritance, giving rise to a mutator phenotype that is independent from mutator alleles. Here, we investigate mathematically how the rate of adaptive evolution is affected by the rate of mutation rate phenotype switching. We model an asexual population with two mutation rate phenotypes, non-mutator and mutator. An offspring may switch from its parental phenotype to the other phenotype. We find that switching rates that correspond to so-far empirically described non-genetic systems of inheritance of the mutation rate lead to higher rates of adaptation on both artificial and natural fitness landscapes. These switching rates can maintain within the same individuals both a mutator phenotype and intermediary mutations, a combination that facilitates adaptation. Moreover, non-genetic inheritance increases the proportion of mutators in the population, which in turn increases the probability of hitchhiking of the mutator phenotype with adaptive mutations. This in turns facilitates the acquisition of additional adaptive mutations. Our results rationalize recently observed noise in the expression of proteins that affect the mutation rate and suggest that non-genetic inheritance of this phenotype may facilitate evolutionary adaptive processes.
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Univ Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, MexicoUniv Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico
Vazquez-Mendoza, Isaac
Rodriguez-Torres, Erika E.
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Univ Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, MexicoUniv Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico
Rodriguez-Torres, Erika E.
Ezadian, Mojgan
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Western Univ, Dept Appl Math, London, ON N6A 3K7, CanadaUniv Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico
Ezadian, Mojgan
Wahl, Lindi M.
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Western Univ, Dept Appl Math, London, ON N6A 3K7, CanadaUniv Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico
Wahl, Lindi M.
Gerrish, Philip J.
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Univ Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico
Univ Michigan, Biol Sci, Ann Arbor, MI 48109 USA
Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
Los Alamos Natl Lab, Theoret Div, Los Alamos, NM 87545 USAUniv Autonoma Estado Hidalgo, Area Acad Matemat & Fis, Pachuca 42039, Hidalgo, Mexico