Mutator dynamics in sexual and asexual experimental populations of yeast
© Raynes et al; licensee BioMed Central Ltd. 2011
Received: 16 February 2011
Accepted: 7 June 2011
Published: 7 June 2011
In asexual populations, mutators may be expected to hitchhike with associated beneficial mutations. In sexual populations, recombination is predicted to erode such associations, inhibiting mutator hitchhiking. To investigate the effect of recombination on mutators experimentally, we compared the frequency dynamics of a mutator allele (msh2Δ) in sexual and asexual populations of Saccharomyces cerevisiae.
Mutator strains increased in frequency at the expense of wild-type strains in all asexual diploid populations, with some approaching fixation in 150 generations of propagation. Over the same period of time, mutators declined toward loss in all corresponding sexual diploid populations as well as in haploid populations propagated asexually.
We report the first experimental investigation of mutator dynamics in sexual populations. We show that a strong mutator quickly declines in sexual populations while hitchhiking to high frequency in asexual diploid populations, as predicted by theory. We also show that the msh2Δ mutator has a high and immediate realized cost that is alone sufficient to explain its decline in sexual populations. We postulate that this cost is indirect; namely, that it is due to a very high rate of recessive lethal or strongly deleterious mutation. However, we cannot rule out the possibility that msh2Δ also has unknown directly deleterious effects on fitness, and that these effects may differ between haploid asexual and sexual populations. Despite these reservations, our results prompt us to speculate that the short-term cost of highly deleterious recessive mutations can be as important as recombination in preventing mutator hitchhiking in sexual populations.
Ever since a seminal paper on mutation rate evolution by A. H. Sturtevant , two modes of selection on the genomic mutation rate have been recognized: i) indirect selection resulting from associations between mutation-rate-modifying alleles at certain loci and fitness-modifying alleles at other loci, and ii) direct selection resulting from the fitness effects of mutation-rate-modifying alleles themselves. In the absence of significant evidence for direct selection, most theoretical studies of mutation rate evolution have focused on the indirect selection experienced by mutation rate modifiers and its contrasting effects in sexual and asexual populations [reviewed in ].
It has long been argued that because the majority of new fitness-affecting mutations are expected to be deleterious, there should be continual selection pressure toward a lower mutation rate [1, 3]. However, in asexual populations, modifiers that increase the genomic mutation rate (mutators) can rise in frequency if associated with beneficial mutations, and a substantial experimental literature in support of such mutator hitchhiking has developed [4–8]. In contrast, in sexual populations recombination is expected to erode associations between beneficial mutations and mutator alleles, preventing mutator hitchhiking and leading to mutator decline due to persistent deleterious mutational pressure [[2, 9–11], but see [12–15]].
Surprisingly, the fate of mutator alleles in sexual populations has yet to receive experimental attention. Here, we investigate mutator dynamics in sexual and asexual populations of S. cerevisiae. The mutator allele (hereafter, msh2Δ) was constructed by replacing the coding sequence of MSH2, a component of the yeast mismatch repair system , with a kanamycin resistance cassette  previously shown to have minimal fitness effect . We established sexual and asexual experimental populations initially polymorphic for this mutator allele and followed mutator frequencies in these populations through time. In light of the results, we discuss the nature of selection experienced by msh2Δ in these populations.
Mutator dynamics in asexual populations
Mutator dynamics in sexual populations
Competitive fitnesses of mutator and wild-type strains before and after propagation
As measured in short-term competition assays (see Methods), the fitness of the haploid mutator strain (YPS3460) relative to that of the wild-type strain (YPS3343) was 0.976 ± 0.002 (S.E.M) before propagation, which is significantly different from one (t 9 = 5.84, two-tailed p < 0.01). The fitness of the diploid mutator strain (YPS3484) relative to the wild-type strain (YPS3485) was 1.005 ± 0.001 (S.E.M) before propagation; the difference from one is marginally non-significant (t 9 = 1.974, two-tailed p = 0.08). In diploid asexual populations, the relative fitness of mutators increased significantly (F1,24 = 192.3, p << 0.001) during the experimental propagation, rising to approximately 1.09 based on assays of three different mutator clones isolated at generation 180. In haploid populations, two of three assayed mutator clones showed a significant (F1,19 = 26.39, p << 0.001) increase in relative fitness, rising to approximately 1.025 in the 160 generations of propagation; the third mutator clone had a relative fitness of 0.964 which was statistically indistinguishable from 0.976 (t 14 = 1.385, two-tailed p = 0.19).
Mutator dynamics and the predicted qualitative effect of recombination
In line with previous studies demonstrating mutator hitchhiking [4, 7, 20, 21], we observed episodes of substantial mutator increase in all diploid asexual populations. Direct competitions between the ancestral diploid mutator and wild-type strains revealed no fitness advantage that could account for the mutator rise in the experimental populations. To assess whether sweeps of beneficial mutations that could facilitate mutator hitchhiking occurred in the diploid asexual populations, we also measured relative fitnesses of mutator clones isolated after experimental propagation. The evolved mutator clones were substantially and significantly more fit than the ancestral mutator strain, strongly suggesting that mutators rose in frequency by hitchhiking with beneficial mutations.
In sexual populations, the msh2Δ mutator allele never experienced bouts of hitchhiking similar to those observed in asexual populations, instead declining almost uniformly toward loss. Given the evidence of hitchhiking and fitness evolution in our diploid asexual populations as well as previously published reports of rapid adaptation and high beneficial mutation rates in experimental populations of diploid yeast [21–25], the failure of msh2Δ to hitchhike in sexual populations is consistent with the predicted qualitative effect of recombination in separating mutators from beneficial mutations [9, 10].
However, the swift decline of msh2Δ in these populations also reveals a strong cost of the mutator allele in the sexual populations that was not observed in the asexual diploid populations. This realized cost of msh2Δ in the sexual populations (based on its rate of decline) was greater than its realized benefit in the asexual diploid populations and was alone sufficient to explain mutator decline in the sexual populations. Importantly, our diploid asexual and sexual populations differed in more than the presence of meiotic recombination. Sexual diploid populations produced haploid spores, while asexual diploid populations never went through a haploid stage.
The realized cost of msh2Δ
In an effort to distinguish between potential direct costs of the msh2Δ allele and an indirect cost due to an increased influx of deleterious mutations, we compared relative fitnesses of ancestral wild-type and mutator strains in both diploid and haploid populations before and after propagation. In diploids, the fitnesses of the two strains were statistically indistinguishable before propagation. In haploids, the mutator strain was slightly less fit than the wild-type strain before propagation, and the difference was consistent with the observed decline of msh2Δ during the propagation experiment. These results could be interpreted as supporting a direct fitness cost of msh2Δ applying only in haploids. Alternatively, given that the majority of strongly deleterious mutations are recessive , indirect selection against msh2Δ could account for our observation that mutators declined only in populations with a haploid growth stage (sexual populations and asexual haploid populations). Such an indirect cost of msh2Δ would be consistent with previous studies that have inferred a high rate of recessive deleterious mutation in msh2Δ-carrying strains [21, 27–31]. An indirect cost of msh2Δ operating mostly through recessive strongly deleterious mutations could also explain why the mutators were able to spread in our asexual diploid populations, as also previously observed by Thompson et al. . In our experiments, fitness measurements of haploid mutators isolated after propagation showed that two out of three clones increased in fitness significantly, suggesting that mutator decline in these populations was not due to gradual accumulation of mildly deleterious mutations; however, an immediate cost of msh2Δ could have been a consequence of highly deleterious or lethal mutations, which do not accumulate in populations.
The nature of any direct fitness effects of msh2Δ that could explain our results is somewhat unclear. In addition to its role in mismatch repair [16, 32], wild-type MSH2 has been shown to prevent homeologous recombination and associated chromosomal rearrangements [33–35] and to remove nonhomologous DNA during genetic recombination initiated by double-strand breaks [36–38]. These findings hint at a possible meiosis-specific direct fitness effect of msh2Δ. Consistent with this notion is the finding of Reenan and Kolodner  that not all spore mortality in msh2Δ homozygotes can be accounted for by recessive deleterious mutations. It is worth noting, however, that a meiosis-specific effect of msh2Δ could only have contributed to the fitness cost of the mutator in our sexual populations and would not account for the mutator decline in our asexual haploid populations.
Whether the realized cost of msh2Δ in our sexual populations was direct or indirect, our results have some implications for both theoretical studies of mutator dynamics and the understanding of mutation rate evolution in natural populations. Most studies of mutation rate evolution have adopted the simplifying assumption that mutator alleles are themselves neutral in the short term. Obviously, if a mutator allele were directly deleterious as a consequence of some pleiotropic effect, it would be intrinsically disfavored in both asexual and sexual populations. Notably, mismatch repair alleles that are involved in meiotic recombination may be particularly likely to have a direct effect on fitness in addition to their effect on mutation rate.
On the other hand, if we are correct in positing that the cost of msh2Δ is primarily indirect rather than direct, then our results suggest that, similarly to a direct cost, an indirect cost of a mutator allele may apply immediately in some situations. If strongly deleterious mutations are rare, then indirect selection against a mutator in an asexual population will develop only gradually after a shift in mutation rate [39–42]. However, if strongly deleterious mutations are common, then indirect selection against a mutator can act over the short term to inhibit mutator hitchhiking in situations where recessive deleterious mutations are expressed.
The notion that recombination is perhaps not the only factor that can prevent mutator hitchhiking in sexual populations has implications for mutation rate evolution in natural populations that can reproduce sexually but go through a prominent haploid phase: for example, fungi, algae and some plants. Consistent with effective selection against higher mutation rates, there are no reports to date of mutator strains at substantial frequencies in natural yeast populations, despite the low rates of outcrossing inferred in such populations [43, 44]. While mutation rate data are scarce in plants, it seems likely that mutators could also carry a high and immediate indirect cost in plant species with a prominent gametophyte phase (mosses, ferns, and others). In contrast, haploid stage selection against mutator alleles should be weaker in populations where haploids are less important and act primarily to transport genetic material, as in multicellular animals. To our knowledge, this idea that the efficacy of selection against higher mutation rates may depend on population life cycle was first suggested by Sturtevant .
Current estimates of genomic deleterious mutation rates (U d ) range from a low value of 0.0002 in the bacterium E. coli  to potentially above 1 in many sexually reproducing species . In light of studies demonstrating mutator hitchhiking in experimental bacterial populations [5, 7, 8, 46, 47] it may seem surprising that genomic mutation rates in natural bacterial populations have not evolved to higher levels. One possible explanation for low genomic mutations rates in bacteria is that mutator hitchhiking is inhibited in haploid bacterial populations by the associated deleterious load. Another potential explanation, however, is the prevalence of horizontal gene transfer [48, 49], which could act similarly to sexual recombination in preventing mutator hitchhiking. Currently available evidence suggests that horizontal gene transfer in bacteria is rather widespread, as it might have accounted for anywhere between 1.6 - 32.6% of some bacterial genomes . Interestingly, despite regular recombination, most multicellular eukaryotes have strikingly high genomic mutation rates, potentially suggesting a role for nonadaptive forces in shaping mutation rates in these species .
Assuming that selection acting on msh2Δ in our haploid yeast populations was primarily indirect, we can roughly estimate the minimum deleterious mutation rate in yeast as U d = 5.5 × 10-4 (see Methods). Current published estimates of U d in S. cerevisiae range from 4.8 × 10-5 to 1.1 × 10-3 [24, 30, 51]; the deleterious mutation rate in our populations was probably closer to the high end of this range , because the indirect cost of msh2Δ in our populations would have been reduced somewhat by the mutator's association with new beneficial mutations. Moreover, the high percentage of haploid lethal mutations demonstrated in  is consistent with the observed immediate fitness effect of msh2Δ in our experiments.
Our study raises the potential importance of haploid phase selection and high deleterious mutation rates on mutator success in sexually reproducing populations. We suggest that the interaction of recombination with these factors is an important area for further theoretical and empirical research. We have shown that a mutator allele of msh2 declines rapidly in frequency in experimental populations of sexually reproducing yeast while nearly hitchhiking to fixation in isogenic asexual populations. The realized cost of the msh2Δ allele could be due to an increase in strongly deleterious and lethal mutations, and it could also be due to an unknown direct effect that operates only in haploids and sexually reproducing populations. Whatever its cause, the magnitude of the fitness effect of msh2Δ is sufficient to obscure the expected qualitative effect of recombination on mutator dynamics. Further research will be necessary to unambiguously demonstrate the theoretically expected effect of recombination on mutation rate evolution in sexual populations.
Strains and Media
All experiments were conducted with two isogenic haploid S. cerevisiae strains, YPS3329 (ho::nat, MSH2, MAT α) and YPS3343 (ho::nat, MSH2, MAT a), previously isolated from Mettler's Woods, NJ  or their derivatives. The msh2::kan allele (generously provided by Clifford Zeyl), a complete deletion of the coding sequence of the mismatch repair locus MSH2, was used to replace wild-type MSH2 in YPS3343 using a standard transformation protocol , producing isogenic strain YPS3460. The kanamycin cassette confers dominant resistance to the drug G418 which was used as a selective agent to assess mutator frequencies in the evolution experiments. Fluctuation tests  indicated that the msh2Δ allele provided for a 60-fold increase in the haploid mutation rate over wild-type MSH2 at the URA3 locus (see additional file 1 for fluctuation test procedure). Diploid homozygous mutator (YPS3484) and wild-type (YPS3485) strains were isolated from the mating of strains YPS3329 and YPS3460 and confirmed by tetrad analysis. Low-glucose YPD (0.2% glucose) and sporulation media were prepared according to standard recipes .
Sets of replicate populations were established with mutator alleles at starting frequencies of roughly 50%. Each population was propagated in 10 ml of low-glucose YPD broth at 30°C with shaking at 200 rpm and with 1:1000 daily dilution to fresh medium. Given the daily population bottleneck of 105 cells and the number of generations between transfers (≈10), the effective population size was approximately 106 . The asexual haploid populations were established by combining aliquots of roughly 5 × 104 cells from overnight mutator (YPS3460) and wild-type (YPS3343) cultures into replicate flasks. The asexual diploid populations were established by combining aliquots of roughly 5 × 104 cells from overnight diploid mutator (YPS3484) and diploid wild-type (YPS3485) cultures into replicate flasks. To establish the sexual populations, haploid wild-type and mutator strains of opposite mating type (strains YPS3329 and YPS3460) were mated and sporulated. Then approximately 105 cells of the resulting culture were aliquoted into replicate flasks to start sexual populations.
Growth medium was replaced with sporulation medium after every three days of serial passage for the sexual populations, and the populations were allowed to sporulate for three days without serial passage. Sporulated cultures were washed, treated with beta-mercaptoethanol to kill unsporulated cells, and digested with zymolyase. The resulting haploid spores were mass-mated on low-glucose YPD plates, and serial transfer was restarted by inoculating fresh low-glucose YPD broth with about 105 cells from the mated cultures. Sporulation efficiency was estimated at about 70% by direct observation under a compound microscope, and thus the sexual populations are likely to have had roughly the same effective size as the asexual populations.
In both sexual and asexual populations, mutator frequencies were assessed by replica plating 100 to 300 randomly sampled colonies, derived from each population at each assayed time point, from YPD plates to YPD plates containing 200 μg/ml of G418. Allele frequencies in the diploid sexual populations were assessed immediately after mass mating by assuming Hardy-Weinberg genotypic proportions.
Relative fitness assays
Relative fitnesses of mutator and wild-type strains were assayed in two-day direct competitions. Ancestral strains were inoculated from frozen stocks into 10 ml of low-glucose YPD. Evolved mutator clones were isolated on low-glucose YPD agar plates and inoculated into 10 ml of low-glucose YPD. After growing to stationary densities, the two competitors were then diluted 2000-fold and introduced into replicate flasks of low-glucose YPD. The cultures were grown overnight and transferred into fresh low-glucose YPD medium after 1:1000 dilution. Culture samples were plated on YPD agar at the beginning and at the end of the 2nd day of propagation (after ≈ 20 generations). Mutator frequencies were estimated by replica plating about 200 colonies per competition onto YPD+ G418 agar plates. Relative - fitnesses were inferred from the shift in mutator frequencies using standard population genetics theory .
Deleterious mutation rate estimation
The coefficient of indirect selection against a mutator subpopulation at equilibrium deleterious mutational load is predicted to be approximately mU d [39, 57], where m is the factor by which the mutator elevates the genomic deleterious mutation rate and U d is the genomic deleterious mutation rate in the wild-type . Considering that we have estimated m to be approximately 60 and assuming that increase in U d is proportional to increase in the mutation rate assayed, we can approximate the deleterious mutation rate in our populations as U d = s hap /m = 5.5 × 10-4. The validity of this estimate depends on whether the realized cost of the mutator was exclusively indirect and, as implied above, on whether the populations had attained equilibrium mutational load.
We thank P.J. Gerrish for valuable discussion and providing the mutation rate calculator software and C.W. Zeyl for sharing yeast strains. We thank three anonymous reviewers for their constructive comments that improved the manuscript considerably. We also thank members of our laboratory for comments and discussion. This work was supported by National Institutes of Health Grant GM079483-01A2.
- Sturtevant AH: Essays on Evolution. I. On the effects of selection on mutation rate. Q Rev Biol. 1937, 12: 464-467. 10.1086/394543.View ArticleGoogle Scholar
- Sniegowski PD, Gerrish PJ, Johnson T, Shaver A: The evolution of mutation rates: separating causes from consequences. BioEssays. 2000, 22: 1057-1066. 10.1002/1521-1878(200012)22:12<1057::AID-BIES3>3.0.CO;2-W.View ArticlePubMedGoogle Scholar
- Fisher RA: The Genetical Theory of Natural Selection. 1930, OxfordView ArticleGoogle Scholar
- Tröbner W, Piechocki R: Competition between isogenic mutS and mut+ populations of Escherichia coli K12 in continuously growing cultures. Mol Gen Genet. 1984, 198: 175-176. 10.1007/BF00328719.View ArticlePubMedGoogle Scholar
- Sniegowski PD, Gerrish PJ, Lenski RE: Evolution of high mutation rates in experimental populations of E. coli. Nature. 1997, 387: 703-705. 10.1038/42701.View ArticlePubMedGoogle Scholar
- Shaver AC, Dombrowski PG, Sweeney JY, Treis T, Zappala RM, Sniegowski PD: Fitness evolution and the rise of mutator alleles in experimental Escherichia coli populations. Genetics. 2002, 162: 557-566.PubMedPubMed CentralGoogle Scholar
- Chao L, Cox EC: Competition between high and low mutating strains of Escherichia coli. Evolution. 1983, 37: 125-134. 10.2307/2408181.View ArticleGoogle Scholar
- Gentile CF, Yu SC, Serrano SA, Gerrish PJ, Sniegowski PD: Competition between high- and higher-mutating strains of Escherichia coli. Biol Lett. 2011, 7: 422-424. 10.1098/rsbl.2010.1036.View ArticlePubMedPubMed CentralGoogle Scholar
- Leigh EG: Natural selection and mutability. Am Nat. 1970, 104: 301-305. 10.1086/282663.View ArticleGoogle Scholar
- Johnson T: Beneficial mutations, hitchhiking and the evolution of mutation rates in sexual populations. Genetics. 1999, 151: 1621-1631.PubMedPubMed CentralGoogle Scholar
- Kimura M: On the evolutionary adjustment of spontaneous mutation rates. Genet Res. 1967, 9: 23-34. 10.1017/S0016672300010284.View ArticleGoogle Scholar
- Gillespie JH: Mutation modification in a random environment. Evolution. 1981, 35: 468-476. 10.2307/2408195.View ArticleGoogle Scholar
- Ishii K, Matsuda H, Iwasa Y, Sasaki A: Evolutionarily stable mutation rate in a periodically changing environment. Genetics. 1989, 121: 163-174.PubMedPubMed CentralGoogle Scholar
- Baer CF, Miyamoto MM, Denver DR: Mutation rate variation in multicellular eukaryotes: causes and consequences. Nat Genet. 2007, 8: 619-631. 10.1038/ni1466.View ArticleGoogle Scholar
- Lynch M: The cellular, developmental and population-genetic determinants of mutation-rate evolution. Genetics. 2008, 180: 933-943. 10.1534/genetics.108.090456.View ArticlePubMedPubMed CentralGoogle Scholar
- Alani E: The Saccharomyces cerevisiae Msh2 and Msh6 proteins form a complex that specifically binds to duplex oligonucleotides containing mismatched DNA base pairs. Mol Cell Biol. 1996, 16: 5604-5615.View ArticlePubMedPubMed CentralGoogle Scholar
- Goldstein AL, McCusker JH: Three new dominant drug resistance cassettes for gene disruption in Saccharomyces cerevisiae. Yeast. 1999, 15: 1541-1553. 10.1002/(SICI)1097-0061(199910)15:14<1541::AID-YEA476>3.0.CO;2-K.View ArticlePubMedGoogle Scholar
- Baganz F, Hayes A, Marren D, Gardner DCJ, Oliver SG: Suitability of replacement markers for functional analysis studies in Saccharomyces cerevisiae. Yeast. 1997, 13: 1563-1573. 10.1002/(SICI)1097-0061(199712)13:16<1563::AID-YEA240>3.0.CO;2-6.View ArticlePubMedGoogle Scholar
- Crow JF, Kimura M: An Introduction to Population Genetic Theory. 1970, New York: Harper and RowGoogle Scholar
- de Visser JAGM: The fate of microbial mutators. Microbiology. 2002, 148: 1247-1252.View ArticlePubMedGoogle Scholar
- Thompson DA, Desai MM, Murray AW: Ploidy controls the success of mutators and nature of mutations during budding yeast evolution. Curr Biol. 2006, 16: 1581-1590. 10.1016/j.cub.2006.06.070.View ArticlePubMedGoogle Scholar
- Paquin CE, Adams J: Relative fitness can decrease in evolving asexual populations of S. cerevisiae. Nature. 1983, 306: 368-371. 10.1038/306368a0.View ArticlePubMedGoogle Scholar
- Hill JA, Otto SP: The role of pleiotropy in the maintenance of sex in yeast. Genetics. 2007, 175: 1419-1427.View ArticlePubMedPubMed CentralGoogle Scholar
- Joseph SB, Hall DW: Spontaneous mutations in diploid Saccharomyces cerevisiae: More beneficial than expected. Genetics. 2004, 168: 1817-1825. 10.1534/genetics.104.033761.View ArticlePubMedPubMed CentralGoogle Scholar
- Hall DW, Mahmoudizad R, Hurd AW, Joseph SB: Spontaneous mutations in diploid Saccharomyces cerevisiae: another thousand cell generations. Genet Res. 2008, 90: 229-241.View ArticleGoogle Scholar
- Greenberg R, Crow JF: A comparison of the effect of lethal and detrimental chromosomes from Drosophila populations. Genetics. 1960, 45: 1153-1168.PubMedPubMed CentralGoogle Scholar
- Sliwa P, Kluz J, Korona R: Mutational load and the transition between diploidy and haploidy in experimental populations of the yeast Saccharomyces cerevisiae. Genetica. 2004, 121: 285-293.View ArticlePubMedGoogle Scholar
- Reenan RAG, Kolodner RD: Characterization of insertion mutations in the Saccharomyces cerevisiae MSH1 and MSH2 genes: evidence for separate mitochondrial and nuclear functions. Genetics. 1992, 132: 975-985.PubMedPubMed CentralGoogle Scholar
- Keller PJ, Knop M: Evolution of mutational robustness in the yeast genome: a link to essential genes and meiotic recombination hotspots. PLoS Genet. 2009, 5: e1000533-10.1371/journal.pgen.1000533.View ArticlePubMedPubMed CentralGoogle Scholar
- Wloch DM, Szafraniec K, Borts RH, Korona R: Direct estimate of the mutation rate and the distribution of fitness effects in the yeast Saccharomyces cerevisiae. Genetics. 2001, 159: 441-452.PubMedPubMed CentralGoogle Scholar
- Grimberg B, Zeyl C: The effects of sex and mutation rate on adaptation in test tubes and to mouse hosts by Saccharomyces cerevisiae. Evolution. 2005, 59: 431-438.View ArticlePubMedGoogle Scholar
- Marsischky GT, Filosi N, Kane MF, Kolodner R: Redundancy of Saccharomyces cerevisiae MSH3 and MSH6 in MSH2-dependent mismatch repair. Genes Dev. 1996, 10: 407-420. 10.1101/gad.10.4.407.View ArticlePubMedGoogle Scholar
- Selva EM, Maderazo AB, Lahue RS: Differential effects of the mismatch repair genes MSH2 and MSH3 on homeologous recombination in Saccharomyces cerevisiae. Mol Gen Genet. 1997, 257: 71-82.PubMedGoogle Scholar
- Selva EM, New L, Crouse GF, Lahue RS: Mismatch correction acts as a barrier to homeologous recombination in Saccharomyces cerevisiae. Genetics. 1995, 139: 1175-1188.PubMedPubMed CentralGoogle Scholar
- Chambers SR, Hunter N, Louis EJ, Borts RH: The mismatch repair system reduces meiotic homeologous recombination and stimulates recombination-dependent chromosome loss. Mol Cell Biol. 1996, 16: 6110-6120.View ArticlePubMedPubMed CentralGoogle Scholar
- Sugawara N, Pâques F, Colaiácovo M, Haber JE: Role of Saccharomyces cerevisiae Msh2 and Msh3 repair proteins in double-strand break-induced recombination. Proc Natl Acad Sci USA. 1997, 94: 9214-9219. 10.1073/pnas.94.17.9214.View ArticlePubMedPubMed CentralGoogle Scholar
- Studamire B, Price G, Sugawara N, Haber JE, Alani E: Separation-of-function mutations in Saccharomyces cerevisiae MSH2 that confer mismatch repair defects but do not affect nonhomologous-tail removal during recombination. Mol Cell Biol. 1999, 19: 7558-7567.View ArticlePubMedPubMed CentralGoogle Scholar
- Saparbaev M, Prakash L, Prakash S: Requirement of mismatch repair genes MSH2 and MSH3 in the RAD1-RAD10 pathway of mitotic recombination in Saccharomyces cerevisiae. Genetics. 1996, 142: 727-736.PubMedPubMed CentralGoogle Scholar
- Johnson T: The approach to mutation-selection balance in an infinite asexual population, and the evolution of mutation rates. Proc R Soc Lond [Biol]. 1999, 266: 2389-2397. 10.1098/rspb.1999.0936.View ArticleGoogle Scholar
- André JB, Godelle B: The evolution of mutation rate in finite asexual populations. Genetics. 2006, 172: 611-626.View ArticlePubMedPubMed CentralGoogle Scholar
- Gerrish PJ, Colato A, Perelson AS, Sniegowski PD: Complete genetic linkage can subvert natural selection. Proc Natl Acad Sci USA. 2007, 104: 6266-6271. 10.1073/pnas.0607280104.View ArticlePubMedPubMed CentralGoogle Scholar
- Bull JJ, Wilke CO: Lethal mutagenesis of bacteria. Genetics. 2008, 180: 1061-1070. 10.1534/genetics.108.091413.View ArticlePubMedPubMed CentralGoogle Scholar
- Ruderfer DM, Pratt SC, Seidel HS, Kruglyak L: Population genomic analysis of outcrossing and recombination in yeast. Nat Genet. 2006, 38: 1077-1081. 10.1038/ng1859.View ArticlePubMedGoogle Scholar
- Johnson LJ, Koufopanou V, Goddard MR, Hetherington R, Schafer SM, Burt A: Population genetics of the wild yeast Saccharomyces paradoxus. Genetics. 2004, 166: 43-52. 10.1534/genetics.166.1.43.View ArticlePubMedPubMed CentralGoogle Scholar
- Kibota TT, Lynch M: Estimate of the genomic mutation rate deleterious to overall fitness in E. coli. Nature. 1996, 381: 694-696. 10.1038/381694a0.View ArticlePubMedGoogle Scholar
- Giraud A, Matic I, Tenaillon O, Clara A, Radman M, Fons M, Taddei F: Costs and benefits of high mutation rates: Adaptive evolution of bacteria in the mouse gut. Science. 2001, 291: 2606-2608. 10.1126/science.1056421.View ArticlePubMedGoogle Scholar
- de Visser JAGM, Rozen DE: Clonal interference and the periodic selection of new beneficial mutations in Escherichia coli. Genetics. 2006, 172: 2093-2100.View ArticlePubMedPubMed CentralGoogle Scholar
- Gogarten JP, Doolittle WF, Lawrence JG: Prokaryotic evolution in light of gene transfer. Mol Biol Evol. 2002, 19: 2226-2238.View ArticlePubMedGoogle Scholar
- Gogarten JP, Townsend JP: Horizontal gene transfer, genome innovation and evolution. Nat Rev Microbiol. 2005, 3: 679-687. 10.1038/nrmicro1204.View ArticlePubMedGoogle Scholar
- Koonin EV, Makarova KS, Aravind L: Horizontal gene transfer in prokaryotes: Quantification and classification. Annu Rev Microbiol. 2001, 55: 709-742. 10.1146/annurev.micro.55.1.709.View ArticlePubMedPubMed CentralGoogle Scholar
- Zeyl C, de Visser JAGM: Estimates of the rate and distribution of fitness effects of spontaneous mutation in Saccharomyces cerevisiae. Genetics. 2001, 157: 53-61.PubMedPubMed CentralGoogle Scholar
- Kuehne HA, Murphy HA, Francis CA, Sniegowski PD: Allopatric divergence, secondary contact and genetic isolation in wild yeast populations. Curr Biol. 2007, 17: 407-411. 10.1016/j.cub.2006.12.047.View ArticlePubMedGoogle Scholar
- Gietz RD, Schiestl RH: High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method. Nat Protocols. 2007, 2: 31-34. 10.1038/nprot.2007.13.View ArticlePubMedGoogle Scholar
- Gerrish P: A simple formula for obtaining markedly improved mutation rate estimates. Genetics. 2008, 180: 1773-1778. 10.1534/genetics.108.091777.View ArticlePubMedPubMed CentralGoogle Scholar
- Rose MD, Winston F, Hieter P: Methods in Yeast Genetics: A Laboratory Course Manual. 1990, Cold Spring Harbor: Cold Spring Harbor Laboratory PressGoogle Scholar
- Lenski RE, Rose MR, Simpson SC, Tadler SC: Long-term experimental evolution in Escherichia coli. I. Adaptation and divergence during 2,000 generations. Am Nat. 1991, 138: 1315-1341. 10.1086/285289.View ArticleGoogle Scholar
- Kimura M, Maruyama T: The mutational load with epistatic gene interactions in fitness. Genetics. 1966, 54: 1337-1351.PubMedPubMed CentralGoogle Scholar
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