Figure 1.
Ploidy–environment interactions are the rule rather than the exception in yeast and favor haploidy and diploidy equally.
A) The mitotic fitness components lag (time to initiate proliferation), rate (population doubling time) and efficiency (total change in population density) of asexual reproduction were extracted from high density growth curves of 24 S. cerevisiae and 27 S. paradoxus strains cultivated as haploids (n = 4) and diploids (n = 2) in an array of environmental contexts. Performance was log(2) transformed and normalized to that of the universal reference strain S288c, providing relative performance measures. B) The performances of haploids and diploids were compared over all species, strains, mitotic fitness components and environments. Line indicates the 1∶1 correlation. C) The performance of haploids and diploids over all strains and environments. Note that performance is on a log(2) scale. No significant difference between the two ploidy states (FDR, α = 0.05) were found. Error bars represent SEM.
Figure 2.
Ploidy–environments interactions are conserved since before the S. cerevisae and S. paradoxus radiation.
A) Fitness component measures with a significant (FDR, α = 0.05) difference in performance between haploids and diploids in S. cerevisiae, in S. paradoxus or in both species. To compare haploid and diploid asexual proliferative capacity, a mean of the log(2) relative performance of the two haploid mating types (each n = 2) was used to derive a single measure of haploid performance. This was compared to that of the diploid (n = 4), by calculating the mean difference between haploid and diploid phenotypes. Each species was treated separately. Error bars represent the SEM (n = 24 for S. cerevisiae, n = 27 for S. paradoxus). B) Left panels show pairwise Pearson correlation coefficients, based on ploidy effects over all mitotic traits, between strains belonging to the same (627 pairs) or different (648 pairs) species, the same (43 pairs) or different (233 pairs) S. cerevisiae population and the same (65 pairs) or different (211 pairs) S. cerevisiae source environment. Species, population and source environment, all have significant impact on ploidy effects (ANOVA F-test; p-values displayed, note the large sample size for the between/within species comparison, and the correspondingly low SEM), but explained only 2.5%, 9.3% and 1.8% of the overall variation in correlation coefficients (R2-adj). Right panels resolve S. cerevisiae populations into the Malaysian, European, African and North American populations and S. cerevisiae sources into Clinical, Fermentation, Lab and Wild strains. Top and bottom of boxes represent 25th and 75th quartiles, bands represent medians, whiskers show the lowest and highest data point still within 1.5 interquartile range of the lower and upper quartile respectively and filled circles represent data points outside this range.
Figure 3.
Patterns of ploidy–environment interactions refute generalizing hypotheses on the effects of mutational load, toxin exposure, and nutrient restriction.
Performance of haploid (n = 4) and diploid (n = 2) versions of individual S. cerevisiae (blue) and S. paradoxus (red) strains in DNA damage inducing environments and nitrogen restricted environments. Note that data is shown on a log(2) scale. Broken lines indicate the 1∶1 correlation (null hypothesis expectation).
Figure 4.
Cell size partially explains ploidy–environment interactions.
A–B) Fitness components measures with a significant (FDR, α = 0.05) difference, both between large (n = 10) and small (n = 10) S288c haploids and between large (n = 29) and small (n = 20) S288c diploids. Large and small cells were constructed through individual deletion of different cell size defining genes. Note that data is shown on a log(2) scale. rror bars represent SEM. A) Performance of large and small diploid cells. B) Performance of large and small haploid cells. C) The tandem genes encoding the Li+ exporters ENA1,2 and 5, were deleted in the haploid S288c derivative BY4741 and the haploid deletion strain was autodiploidized through mating type switching. The total change in density (the efficiency) of mitotically reproducing populations exposed to 30 mM LiCl was obtained for ena1Δ2Δ5Δ haploids (n = 8) and diploids (n = 56) and compared to that of WT haploids (n = 16) and diploids (n = 16) in presence of 225 mM LiCl. Note that data is shown on a log(2) scale. Error bars represent SEM, p-values = Student's t-test. D) Growth efficiency of haploid and diploid versions of individual S. cerevisiae and S. paradoxus strains. Broken lines represent 1∶1 correlation (null hypothesis expectation).
Figure 5.
Mating type locus composition partially explains ploidy–environment interactions.
Fitness component measures of S288c haploids, diploids heterozygotic, a/α, at the mating type locus and diploids hemizygotic, a or α, at the mating type locus, in various environments (n = 4). A) Mitotic growth rate in hydroxyurea, a sample environment where mating type locus composition fails to explain fitness differences between haploids and diploids. Note that data is shown on a log(2) scale. B–D) Environments in which fitness differences between ploidy states are partially or completely explained by mating type locus compositions (FDR, α = 0.05). Note that data is shown on a log(2) scale. B) Mitotic growth rate during rapamycin exposure C) Growth rate in nutrient excess and absence of stress D) Mitotic growth efficiency during doxorubicin exposure.