Abstract
Genome instability is associated with tumorigenesis. Here, we identify a role for the histone Htz1, which is deposited by the Swr1 chromatin-remodeling complex (SWR-C), in preventing genome instability in the absence of the replication fork/replication checkpoint proteins Mrc1, Csm3, or Tof1. When combined with deletion of SWR1 or HTZ1, deletion of MRC1, CSM3, or TOF1 or a replication-defective mrc1 mutation causes synergistic increases in gross chromosomal rearrangement (GCR) rates, accumulation of a broad spectrum of GCRs, and hypersensitivity to replication stress. The double mutants have severe replication defects and accumulate aberrant replication intermediates. None of the individual mutations cause large increases in GCR rates; however, defects in MRC1, CSM3 or TOF1 cause activation of the DNA damage checkpoint and replication defects. We propose a model in which Htz1 deposition and retention in chromatin prevents transiently stalled replication forks that occur in mrc1, tof1, or csm3 mutants from being converted to DNA double-strand breaks that trigger genome instability.
SWR-C and its substrate the histone variant Htz1 are considered important for genome maintenance. Here the authors reveal that SWR-C/Htz1 plays a critical role during replication stress caused by absence of the replication fork progression proteins Mrc1/Tof1/Csm3.
Introduction
Genome instability is a hallmark of cancer, and genome rearrangements are often causal mutations in human diseases1–4. Studies using Saccharomyces cerevisiae have provided insights into the genes and genetic interactions that prevent the accumulation of gross chromosomal rearrangements (GCRs), and analysis of cancer genome sequences has revealed that the corresponding pathways are affected in human cancers5,6. Recently, we discovered a striking set of genetic interactions between mutations in the genes encoding the Swi2/Snf2-Related chromatin remodeling complex (SWR-C) or its substrate Htz1 and mutations in the genes encoding the replication fork progression proteins Tof1 (human Timeless) and Csm3 (human Tipin) or the Mediator of the Replication Checkpoint protein Mrc1 (human Claspin)6.
S. cerevisiae SWR-C (related to human SRCAP and Tip60/p400 complexes) consists of the Swr1 ATPase and 13 other subunits7–10. This complex mediates incorporation of the only histone variant conserved across eukaryotes, the histone H2A variant Htz1 (human H2A.Z), into chromatin by exchanging chromatin-bound H2A-H2B dimers with Htz1-H2B dimers7,8,11. Htz1 is enriched at gene promoters, pericentromeric chromatin, heterochromatin-euchromatin boundaries, and telomeres12–15, and has been implicated in transcriptional regulation and preventing the spread of heterochromatin8,16–18.
Several studies have suggested roles for SWR-C/Htz1 in maintaining genome stability. The htz1Δ and/or swr1Δ mutations cause sensitivity to DNA-damaging agents, decreased sister-chromatid cohesion, defects in recruitment of DNA double-strand breaks (DSBs) to the nuclear periphery, modest defects in resection of DSBs, a small decrease in non-homologous end joining, a small (~twofold) increase in the rate of point mutations when combined with the pol3-L612M mutation in DNA polymerase δ that increases base misincorporation rates, and synergistic growth interactions with mutations affecting chromosome segregation18–26. However, these defects are small compared to the effects caused by mutations affecting the core components of the DNA repair pathways that act in these processes.
The htz1Δ mutation causes a synthetic growth defect when combined with mutations in replication-related genes, including MRC111,27. Loss of SWR-C/Htz1 also causes some phenotypes similar to those caused by loss of Mrc1, such as sensitivity to DNA-damaging agents, impaired sister chromatid cohesion, and a delay in replication progression28–33. During normal replication, Mrc1 couples the leading-strand DNA polymerase ε to the DNA helicase Mcm2-734–36 and interacts with the Tof1-Csm3 protein complex that also promotes replication fork progression; however, mrc1 defects cause a greater reduction in the rate of replication fork progression than csm3 or tof1 defects33,37–39. Mrc1 also has other DNA replication functions: (1) maintaining stable fork pausing upon depletion of nucleotides and at natural pause sites; (2) mediating signaling of DNA replication stress by facilitating activation of the downstream Rad53 checkpoint kinase, a step that requires phosphorylation of Mrc1 by the Mec1 and Tel1 checkpoint kinases29–31. In contrast, Tof1-Csm3 is required for fork pausing at protein-DNA blocks and plays a less important role in checkpoint signaling33,37,39–42. Defects in MRC1, CSM3, and TOF1 also cause defects in cohesion establishment, but these defects appear to define parallel pathways, one involving MRC1 and the other involving TOF1 and CSM343.
Here, we observe that SWR-C/Htz1 and Mrc1/Tof1/Csm3 cooperate to prevent genome instability. Increased replication stress occurs in the absence of Mrc1/Tof1/Csm3, requiring SWR-C/Htz1 to promote efficient replication progression, prevent the accumulation of aberrant replication fork structures, and prevent the accumulation of GCRs. Cells lacking Mrc1/Tof1/Csm3 and Swr1 are hypersensitive to agents that increase replication stress, and under these conditions, HR is essential for cell survival. Together with data from structural analysis of GCRs, these results are consistent with a model wherein transiently stalled replication forks generated in the absence of Mrc1/Tof1/Csm3 are processed in the absence of SWR-C/Htz1 to unusual replication structures that lead to the accumulation of GCRs.
Results
Htz1 deposition by SWR-C prevents GCRs in mrc1Δ mutants
In our previous study of systematically generated mutant strains, we observed that combining mutations affecting SWR-C or its substrate, Htz1, and the replication fork progression proteins Mrc1, Tof1 or Csm3 resulted in synergistic increases in dGCR rate, as assessed by semi-qualitative patch scores6. To understand these interactions, we performed GCR rate measurements with newly reconstructed mrc1Δ, swr1Δ, and mrc1Δ swr1Δ strains containing the dGCR, sGCR, or uGCR assay (Fig. 1a, b). The mrc1Δ swr1Δ double mutant had synergistic increases in GCR rates in all three assays, with a 5.5- to 91.8-fold increase in GCR rate relative to the higher of the two single-mutant GCR rates (Table 1; Supplementary Data 1). Moreover, deletions of genes encoding Htz1 or the non-essential subunits of SWR-C also caused synergistic increases in dGCR rates when combined with mrc1Δ (Fig. 1c; Table 1). The mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants and the mrc1Δ swr1Δ htz1Δ triple mutant had similar increases in dGCR rates (Supplementary Table 1; Supplementary Data 1), which is consistent with the hypothesis that Htz1 and SWR-C act in the same pathway, i.e., Htz1 deposition, to prevent the accumulation of GCRs in the absence of Mrc1. These experiments utilized strains constructed using gene-disruption methods; however, a subset of strains was also constructed by genetic crosses, and the resulting strains had essentially identical GCR rates (Table 1).
Table 1.
Relevant genotype | dGCR assay | sGCR assay | uGCR assay | ||||||
---|---|---|---|---|---|---|---|---|---|
RDKY | Rateb (x 10−8) | Fold changec | RDKY | Rate (x 10−9)d | Fold change | RDKY | Rate (x 10−9) | Fold change | |
Wild typee | 7635 | 8.1 [6.4–15] | 1.0 | 7964 | 6.1 [4.3–18] | 1.0 | 8625 | 1.8 [0.7–4.1] | 1.0 |
swr1Δ e | 7785 | 16 [11–34] | 2.0 | 9077 | 8.4 [5.0–15] | 1.4 | 8808 | 0.8 [0.6–1.1] | 0.5 |
htz1Δ | 8969 | 14 [10–22] | 1.7 | 9079 | 2.8 [2.2–4.4] | 0.5 | 8810 | 0.7 [0.4–1.7] | 0.4 |
mrc1Δ e | 8301 | 26 [18–44] | 3.2 | 9081 | 56 [21–100] | 9.1 | 8804 | 3.0 [1.4–3.8] | 1.7 |
mrc1Δ swr1Δ e | 8302 | 409 [152–964] | 50.3 | 9083 | 304 [254–402] | 49.5 | 9085 | 280 [128–514] | 155 |
mrc1Δ htz1Δ | 8975 | 350 [269–456] | 43.1 | n.d. | – | 9087 | 215 [102–427] | 119 | |
mrc1-aq | 8305 | 18 [12–34] | 2.2 | 9089 | 7.3 [6.4–8.7] | 1.2 | 9091 | 14 [9.1–41] | 7.6 |
mrc1-aq swr1Δ | 8306 | 19 [12–43] | 2.3 | 9093 | 7.0 [4.4–11] | 1.1 | 9095 | 54 [36–69] | 30 |
mrc1-aq htz1Δ | 9097 | 18 [11–55] | 2.2 | 9099 | 8.3 [5.2–10] | 1.4 | 9101 | 62 [4.3–110] | 34 |
mrc1-1-843 | 8967 | 22 [15–30] | 2.7 | 9102 | 24 [18–47] | 3.9 | 8814 | 2.1 [1.1–4.3] | 1.2 |
mrc1-1-843 swr1Δ | 8973 | 219 [132–341] | 27.0 | 9104 | 315 [222–444] | 51.3 | 9106 | 450 [252–623] | 250 |
mrc1-1-843 htz1Δ | 9108 | 219 [175–316] | 26.9 | 9110 | 148 [103–342] | 24.1 | 9112 | 76 [51–156] | 42 |
tof1Δ | 8963 | 22 [15–37] | 2.7 | 9114 | 24 [20–46] | 3.9 | 8816 | 2.4 [1.5–4.2] | 1.3 |
tof1Δ swr1Δ e | 8971 | 51 [36–116] | 6.3 | 9115 | 64 [42–139] | 10 | 9117 | 12 [7.6–22] | 6.8 |
tof1Δ htz1Δ | 9119 | 105 [48–201] | 12.9 | n.d. | – | 9121 | 7.1 [2.3–8.5] | 3.9 | |
csm3Δ | 8965 | 34 [20–76] | 4.1 | 9128 | 25 [10–52] | 4.1 | 8806 | 5.0 [2.7–9.3] | 2.8 |
csm3Δ swr1Δ e | 8972 | 72 [50–95] | 8.9 | 9130 | 54 [41–67] | 8.8 | 9132 | 7.6 [5.0–12] | 4.2 |
csm3Δ htz1Δ | 9134 | 90 [59–202] | 11.0 | n.d. | – | 9136 | 3.2 [1.5–5.7] | 1.8 |
ap values for significance calculated using the Mann-Whitney two-tailed test are presented in Supplementary Data 1.
bThe numbers in square brackets represent the 95% confidence interval for each rate
cFold change = fold change with respect to the wild-type rate for each assay
dn.d. not determined
eRates for the corresponding dGCR strains generated by systematic crosses and haploid selection6 are as follows (x10−8): wild type 8.6 [4.7–13] (1), mrc1Δ 31 [14–68] (3.6), swr1Δ 13 [6.7–21] (1.5), mrc1Δ swr1Δ 396 [164–514] (46.1), tof1Δ swr1Δ 41 [28–55] (4.8), and csm3Δ swr1Δ 46 [28–194] (5.4); 95% confidence intervals and fold changes with respect to the wild type are indicated in square brackets and parentheses, respectively
Defects in the genes encoding SWR-C and Htz1 alter gene expression. To evaluate whether altered gene expression possibly results in altered GCR rates, we searched the published transcriptional changes caused by deletion of HTZ116 for altered expression of the 182 genes that suppress the formation of GCRs6, and all known DNA replication genes, as replication defects can cause increased GCR rates44. In the htz1Δ mutant, none of these genes showed increased expression, and two GCR-suppressing genes, PHR1 and YJL218W, showed a minor ~ 40% reduction in expression. Defects in PHR1 and YJL218W result in a minor increase in GCR patch score in the sGCR assay, which is of borderline significance, and no increase in the dGCR and uGCR assays6. It is formally possible that htz1Δ alters the expression of a GCR-suppressing gene whose expression is induced by replication stress in mrc1Δ, tof1Δ, and csm3Δ mutants; however, replication stress alters the expression of very few replication, repair or checkpoint genes, and none of these appears to be regulated by Htz1 under normal conditions16,45. Therefore it is unlikely transcriptional effects on GCR-suppressing genes can explain the increased GCR rates caused by defects in SWR-C and Htz1.
Stable chromatin retention of Htz1 suppresses mrc1Δ GCRs
Sumoylated Htz1 promotes relocalization of persistent DSBs to the nuclear periphery, and acetylated Htz1 promotes sister chromatid cohesion and the maintenance of telomere heterochromatin boundaries21–23,46. We tested these roles of Htz1 by eliminating the lysine residues that are the substrates for these post-translational modifications (Supplementary Table 2; Supplementary Data 1). Elimination of Htz1 sumoylation (htz1-K(126,133)R) did not increase the dGCR rate individually or when combined with mrc1Δ, tof1Δ, or csm3Δ. Elimination of Htz1 acetylation (htz1-K(4,9,11,15)R) did not increase the dGCR rate individually or when combined with mrc1Δ; these acetylation sites were previously called K3, K8, K10, and K1421,46. Additionally, neither the htz1-K(4,9,11,15,126,133)R acetylation- and sumoylation-defective mutation nor the htz1-K(4,9,11,15)Q acetylation-mimic mutation caused an increased GCR rate individually or in combination with an mrc1Δ mutation. In contrast, C-terminal truncations of Htz1, which decrease retention of Htz1 in chromatin (htz1—1-114 and htz1—1-120)47,48, caused synergistic increases in GCR rates when combined with an mrc1Δ mutation. Together, these data indicate that stable chromatin retention of Htz1, but not its sumoylation or acetylation, plays a role in suppressing GCRs in the absence of Mrc1.
SWR-C/Htz1 suppress GCRs caused by fork progression defects
Mrc1 acts in replication fork progression and the replication checkpoint29–32,35. We therefore tested the separation-of-function alleles mrc1-1-843, an alternative version of mrc1-c14 that confers the same replication defects (see Methods), and mrc1-aq, which causes a checkpoint signaling defect (Table 1; Supplementary Data 1)30,31. When combined with SWR-C/Htz1 defects, mrc1-aq did not cause an increase in the dGCR or sGCR rate and caused a small increase in the uGCR rate, which was significantly less than the effect seen with mrc1Δ (Table 1; Supplementary Data 1; Fig. 1c). In contrast, the mrc1-1-843 mutation caused large synergistic increases in GCR rates in all three assays when combined with either swr1Δ or htz1Δ. Similarly, tof1Δ and csm3Δ also caused synergistic increases in GCR rates when combined with either swr1Δ or htz1Δ, but not to the extent observed with mrc1Δ or mrc1-1-843 (Table 1; Supplementary Data 1). Combining mrc1Δ or mrc1-1-843 with either tof1Δ or csm3Δ caused increased GCR rates, and combining mrc1Δ or mrc1-1-843 with the tof1Δ swr1Δ or csm3Δ swr1Δ double mutations caused even greater increases in GCR rates (Supplementary Table 1; Supplementary Data 1). These results suggest that mutations affecting Mrc1 (mrc1Δ and mrc1-1-843) and the Tof1-Csm3 complex (tof1Δ and csm3Δ) impair redundant replication functions, leading to increased GCR rates, which are further exacerbated in the absence of SWR-C/Htz1.
mrc1 swr1 double mutants have an altered GCR spectrum
To gain insights into the type of damage caused by combining defects in SWR-C/Htz1 and Mrc1, we determined the structures of the resulting GCRs. We characterized GCRs selected in the uGCR and sGCR assays, which have more informative product distributions than the homology-mediated rearrangements selected in the dGCR assay (Fig. 1b)49. We performed two types of analyses on these data: (1) we determined the rates of accumulation of individual classes of GCRs (observed rates) to characterize the GCR spectrum for each mutation; and, (2) for each class of GCR, we compared the observed rates to the predicted rates, which were calculated from the mutant GCR rate and the wild-type GCR spectrum (Tables 2, 3).
Table 2.
GCR type | No. of isolates/total | Rate for GCR typea | Predicted rate based on wild-type product distributionsb | Observed/predicted rate ratio |
---|---|---|---|---|
De novo telomere addition | ||||
Wild type | 15 / 20 | 1.35 [0.52–3.08] x 10−9 | 1.35 [0.52–3.08] x 10−9 | 1.00 |
swr1Δ | 7 / 18 | 0.32 [0.23–0.43] x 10−9c | 0.62 [0.44–0.83] x 10−9d | 0.52 |
mrc1Δ | 1 / 18 | 0.17 [0.08–0.21] x 10−9c | 2.25 [1.05–2.85] x 10−9d | 0.07 |
mrc1Δ swr1Δ | 1 / 21 | 13.3 [6.19–24.3] x 10−9c | 210 [97.5–383] x 10−9d | 0.06 |
Interstitial deletion | ||||
Wild type | 1 / 20 | 9.00 [3.50–20.5] x 10−11 | 9.00 [3.50–20.5] x 10−11 | 1.00 |
swr1Δ | 2 / 18 | 9.11 [6.56–12.2] x 10−11 | 4.10 [2.95–5.50] x 10−11d | 2.22 |
mrc1Δ | 0 / 18 | <16.7 [7.78–21.1] x 10−11 | 15.0 [7.00–19.0] x 10−11 | 1.11 |
mrc1Δ swr1Δ | 8 / 21 | 10,700 [4400] x 10−11c | 1400 [650–2550] x 10−11d | 7.62 |
Microhomology-mediated translocation | ||||
Wild type | 0 / 20 | <9.00 [3.50–20.5] x 10−11 | <9.00 [3.50–20.5] x 10−11 | 1.00 |
swr1Δ | 3 / 18 | 13.7 [9.83–18.3] x 10−11 | <4.10 [2.95–5.50] x 10−11d | >3.33 |
mrc1Δ | 4 / 18 | 66.7 [31.1–84.4] x 10−11c | <15.0 [7.00–19.0] x 10−11d | >4.44 |
mrc1Δ swr1Δ | 9 / 21 | 12,000 [5900] x 10−11c | <1400 [650–2500] x 10−11d | >8.57 |
Hairpin-mediated inverted duplication | ||||
Wild type | 3 / 20 | 2.70 [1.05–6.15] x 10−10 | 2.70 [1.05–6.15] x 10−10 | 1.00 |
swr1Δ | 6 / 18 | 2.73 [1.97–3.67] x 10−10 | 1.23 [0.89–1.65] x 10−10d | 2.22 |
mrc1Δ | 13 / 18 | 21.7 [10.1–27.4] x 10−10c | 4.50 [2.10–5.70] x 10−10d | 4.81 |
mrc1Δ swr1Δ | 3 / 21 | 400 [186–729] x 10−10c | 420 [195–765] x 10−10 | 0.95 |
aObserved rate calculated by multiplying the GCR rate for each strain by the fraction of GCRs observed for a specific GCR type. 95% confidence intervals (CI) are displayed in square brackets.
bPredicted rate calculated by multiplying the GCR rate for each strain by the fraction of GCRs observed in the wild-type strain. 95% confidence intervals are displayed in square brackets.
cRate of a specific type of GCR in the mutant strain has a 95% CI that does not overlap with the 95% CI of the wild-type rate
dPredicted rate based on the wild-type product distribution has a 95% CI that does not overlap with the 95% CI of the observed rate.
Table 3.
GCR type | No. of isolates/total | Rate for GCR typea | Predicted rate based on wild-type product distributionsb | Observed/predicted rate ratio |
---|---|---|---|---|
De novo telomere additions | ||||
Wild type | 5 / 11 | 2.77 [1.95–8.18] x 10−9 | 2.77 [1.95–8.18] x 10−9 | 1.00 |
swr1Δ | 3 / 11 | 2.29 [1.36–4.09] x 10−9 | 3.82 [2.27–6.82] x 10−9 | 0.60 |
mrc1Δ | 2 / 11 | 10.2 [3.82–18.2] x 10−9 | 25.5 [9.55–45.5] x 10−9 | 0.40 |
mrc1Δ swr1Δ | 2 / 10 | 60.0 [50.0–80.0] x 10−9c | 136 [114–182] x 10−9d | 0.44 |
mrc1-1-843 | 2 / 11 | 4.36 [3.27–8.55] x 10−9 | 10.9 [8.18–21.4] x 10−9 | 0.40 |
mrc1-1-843 swr1Δ | 0 / 11 | <29.1 [20.0–40.0] x 10−9 | 145 [100–200] x 10−9d | <0.20 |
Interstitial deletion | ||||
Wild type | 0 / 11 | <55.5 [39.1–164] x 10−11 | <55.5 [39.1–164] x 10−11 | 1.00 |
swr1Δ | 0 / 11 | <70.0 [41.7–125] x 10−11 | <76.4 [45.5–136] x 10−11 | 0.92 |
mrc1Δ | 1 / 11 | 509 [191–909] x 10−11 | <509 [191–909] x 10−11 | >1.00 |
mrc1Δ swr1Δ | 2 / 10 | 6000 [5000–8000] x 10−11c | <2730 [2270–3640] x 10−11d | >2.20 |
mrc1-1-843 | 0 / 11 | <200 [150–392] x 10−11 | <218 [164–427] x 10−11 | 0.92 |
mrc1-1-843 swr1Δ | 2 / 11 | 5820 [4000–8000] x 10−11c | <2910 [2000–4000] x 10−11d | >2.00 |
Microhomology-mediated translocation | ||||
Wild type | 0 / 11 | <55.5 [39.1–164] x 10−11 | <55.5 [39.1–164] x 10−11 | 1.00 |
swr1Δ | 0 / 11 | <64.6 [38.5–115] x 10−11 | <76.4 [45.5–136] x 10−11 | 0.85 |
mrc1Δ | 0 / 11 | <467 [175–833] x 10−11 | <509 [191–909] x 10−11 | 0.92 |
mrc1Δ swr1Δ | 0 / 10 | <2730 [2270–3640] x 10−11 | <2730 [2270–3640] x 10−11 | 1.00 |
mrc1-1-843 | 1 / 11 | 200 [150–392] x 10−11 | <218 [164–427] x 10−11 | >0.92 |
mrc1-1-843 swr1Δ | 0 / 11 | <2910 [2000–4000] x 10−11 | <2910 [2000–4000] x 10−11 | 1.00 |
Hairpin-mediated inverted duplication | ||||
Wild type | 0 / 11 | <5.55 [3.91–16.4] x 10−10 | <5.55 [3.91–16.4] x 10−10 | 1.00 |
swr1Δ | 1 / 11 | 7.64 [4.55–13.6] x 10−10 | <7.64 [4.55–13.6] x 10−10 | >1.00 |
mrc1Δ | 0 / 11 | <50.9 [19.1–90.9] x 10−10 | <50.9 [19.1–90.9] x 10−10 | 1.00 |
mrc1Δ swr1Δ | 1 / 10 | 300 [250–400] x 10−10c | <273 [227–364] x 10−10 | >1.10 |
mrc1-1-843 | 0 / 11 | <21.8 [16.4–42.7] x 10−10 | <21.8 [16.4–42.7] x 10−10 | 1.00 |
mrc1-1-843 swr1Δ | 6 / 11 | 1,750 [1400] x 10−10c | <291 [200–400] x 10−10d | >6.00 |
Homology-mediated inverted duplication | ||||
Wild type | 0 / 11 | <5.55 [3.91–16.4] x 10−10 | <5.55 [3.91–16.4] x 10−10 | 1.00 |
swr1Δ | 0 / 11 | <7.64 [4.55–13.6] x 10−10 | <7.64 [4.55–13.6] x 10−10 | 1.00 |
mrc1Δ | 0 / 11 | <50.9 [19.1–90.9] x 10−10 | <50.9 [19.1–90.9] x 10−10 | 1.00 |
mrc1Δ swr1Δ | 0 / 10 | <300 [250–400] x 10−10 | <300 [250–400] x 10−10 | 1.00 |
mrc1-1-843 | 1 / 11 | 21.8 [16.4–42.7] x 10−10* | <21.8 [16.4–42.7] x 10−10 | >1.00 |
mrc1-1-843 swr1Δ | 0 / 11 | <291 [200–400] x 10−10 | <291 [200–400] x 10−10 | 1.00 |
Homology-mediated translocation | ||||
Wild type | 6 / 11 | 3.33 [2.35–9.82] x 10−9 | 3.33 [2.35–9.82] x 10−9 | 1.00 |
swr1Δ | 3 / 11 | 2.10 [1.25–3.75] x 10−9 | 4.58 [2.73–8.18] x 10−9 | 0.46 |
mrc1Δ | 8 / 11 | 40.7 [15.3–72.7] x 10−9c | 30.5 [11.5–54.5] x 10−9 | 1.33 |
mrc1Δ swr1Δ | 5 / 10 | 150 [125–200] x 10−9c | 164 [136–218] x 10−9 | 0.92 |
mrc1-1-843 | 8 / 11 | 16.0 [12.0–31.3] x 10−9c | 13.1 [9.82–25.6] x 10−9 | 1.22 |
mrc1-1-843 swr1Δ | 3 / 11 | 87.3 [60.0–120] x 10−9c | 175 [120–240] x 10−9d | 0.50 |
aObserved rate calculated by multiplying the GCR rates by the fraction of GCRs observed of a specific GCR type. 95% confidence intervals (CI) are displayed in square brackets.
bPredicted rate calculated by multiplying the GCR rate for each strain by the fraction of GCRs observed in the wild-type strain. 95% confidence intervals are displayed in square brackets.
cRate of a specific type of GCR in the mutant strain has a 95% CI that does not overlap with the 95% CI of the wild-type rate
dPredicted rate based on the wild-type product distribution has a 95% CI that does not overlap with the 95% CI of the observed rate.
GCR structures were determined by analysis of paired-end whole-genome sequencing (WGS) of each parental strain and ≥ 18 or ≥ 10 independently derived GCR-containing isolates for each genotype in the uGCR (wild-type, mrc1Δ, swr1Δ, and mrc1Δ swr1Δ) and sGCR (wild-type, mrc1Δ, mrc1-1-843, swr1Δ, mrc1Δ swr1Δ, and mrc1-1-843 swr1Δ) assays, respectively. GCRs were identified using read depth, discordantly mapping read pairs, and read sequences spanning the rearrangement junctions. We identified both genomic alterations engineered into the strains, such as the mrc1Δ and swr1Δ deletions (Supplementary Figs. 1, 2), and GCR-associated genomic alterations (Supplementary Figs. 3–12 and Supplementary Tables 3–5). A single GCR chromosome was identified in all GCR-containing isolates, and an otherwise normal haploid complement of chromosomes was observed in greater than 80% of the isolates analyzed (Supplementary Fig. 13).
In the uGCR assay, the GCRs in the wild-type strain were predominantly generated by de novo telomere addition (15 of 20 isolates). The observed rate of forming this class of GCRs was reduced relative to the predicted rate in the swr1Δ and mrc1Δ strains, which had uGCR rates similar to wild type, and in the mrc1Δ swr1Δ strain, which had a 156-fold increase in GCR rate (Table 2). In contrast, the rates of formation of interstitial deletions, microhomology-mediated translocations, and hairpin-mediated inverted duplications were generally increased in the mutant strains, except for interstitial deletions in the mrc1Δ strain and hairpin-mediated inverted duplications in the mrc1Δ swr1Δ strain (Table 2).
In the sGCR assay, the GCRs included those observed in the uGCR assay and rearrangements mediated by the short tRNA gene and delta fragment homologies introduced at the can1::PLEU2-NAT locus50. Like the uGCR assay, the rate of accumulation of de novo telomere addition GCRs was reduced relative to the rate predicted from the wild-type spectrum (Table 3)6,50; however, unlike the uGCR assay, the predicted and observed rates had partially overlapping 95% confidence intervals except for the rates of the mrc1Δ swr1Δ and mrc1-1-843 swr1Δ double mutants. Additionally, the rate of accumulation of interstitial deletions was increased in the mrc1Δ swr1Δ and mrc1-1-843 swr1Δ double mutant strains, the rate of hairpin-mediated inverted duplications was increased in the mrc1-1-843 swr1Δ double mutant strain, and the rate of homology-mediated translocations was reduced in the mrc1-1-843 swr1Δ double mutant strain relative to the predicted rates (Table 3).
The changes in the distributions of GCRs in mutant strains are best understood in terms of a modest bias against the accumulation of de novo telomere addition GCRs, which then leads to the formation of other types of GCRs. The changes in the sGCR assay were subtler than in the uGCR assay due to the ability of the sGCR assay to select for short homology-mediated translocations in most strains. Remarkably, the length of homology at the microhomology-mediated translocation and interstitial deletion breakpoints in these strains were longer (range 2–20 bp, median 10.0 bp; Fig. 2b) than would be expected for random junctions (Fig. 2c51), suggesting that these GCRs are generated by microhomology-mediated end joining or a form of HR that acts on short sequences51. These results suggest that SWR-C/Htz1 plays an important role in preventing the formation of DNA damage and/or preventing DNA damage from being channeled into GCRs, but only plays a minor role in influencing the selection of DNA repair pathways that act to generate GCRs5,44.
SWR-C/Htz1 defects do not cause checkpoint activation
The synergistic increases in GCR rates in strains with combined defects in Mrc1/Tof1/Csm3 and SWR-C/Htz1 could be due to increased levels of DNA damage or altered processing of damage caused by one of the mutations. We therefore used two assays to evaluate checkpoint activation and DNA damage formation in vivo (Fig. 3 and Supplementary Fig. 14): (1) cytological analysis of Ddc2-GFP foci (Fig. 3a, b), which reflects activation of the Mec1 checkpoint kinase52; and (2) FACS analysis of expression of Hug1-GFP (Fig. 3c, d), which is a downstream marker for checkpoint activation53. The mrc1Δ and mrc1-1-843 mutations, but not mrc1-aq, caused increased levels of Ddc2 foci and Hug1-GFP expression. In contrast, swr1Δ and htz1Δ did not increase the levels of Ddc2 foci and Hug1-GFP expression individually or when combined with mrc1 mutations, although the frequency of Ddc2 foci was slightly decreased in the mrc1Δ htz1Δ double mutant. The tof1Δ and csm3Δ mutations behaved similarly to mrc1Δ and mrc1-1-843, although they caused lower levels of checkpoint activation (Supplementary Fig. 14).
To determine if the increased levels of Ddc2 foci observed in the mrc1Δ, tof1Δ, and csm3Δ single mutants and the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants were the result of increased checkpoint activation rather than an altered cell cycle distribution, we analyzed the distribution of non-budded and small-medium budded cells in cultures of these mutants and determined the fraction of the cell types that contained Ddc2-GFP foci, which were only found in small-medium budded cells. The mrc1Δ, tof1Δ, and csm3Δ mutants had a small increase in the frequency of small-medium budded cells and an increased frequency of Ddc2-GFP foci among the small-medium budded cells, whereas the swr1Δ and htz1Δ single mutations caused little or no effect (% small-medium budded cells/% small-medium budded cells containing Ddc2-GFP foci: wild type 33.6/9.2%; swr1Δ 28.8/8.6%; htz1Δ 31.1/12.1%; mrc1Δ 47.7/32.7%; tof1Δ 36.9/34.1%; and csm3Δ 34.8/40.3%). Similar analysis of the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants showed that they had a small increase in the frequency of Ddc2-GFP foci among the small-medium budded cells compared to the mrc1Δ single mutant (mrc1Δ swr1Δ 42.5/42.2%; mrc1Δ htz1Δ 27.4/35.8%). These results were consistent with the results from total cell counts (Fig. 3a, b). Overall, these results indicate that mrc1Δ, tof1Δ, and csm3Δ mutations, but not swr1Δ and htz1Δ, cause increased levels of DNA damage, resulting in constitutive checkpoint activation. Therefore, loss of SWR-C/Htz1 does not increase the steady state level of DNA damage in cells lacking Mrc1/Tof1/Csm3, but the existing damage is mis-repaired at higher rates in the absence of SWR-C/Htz1, leading to the formation of GCRs, suggesting that SWR-C/Htz1 is required for accurate processing of the damage.
HR repairs DNA damage in strains without Mrc1 and SWR-C/Htz1
Although the mrc1Δ htz1Δ and mrc1Δ swr1Δ double mutants had modest or no increases in checkpoint activation compared to the mrc1Δ single mutant, the mrc1Δ htz1Δ and mrc1Δ swr1Δ double mutants had slower doubling times than any of the respective single mutants (Fig. 3e), which is consistent with defects in resolving the DNA damage caused by mrc1Δ, tof1Δ, or csm3Δ mutations. Sister chromatid HR is a major mechanism for repairing DNA damage in S. cerevisiae without generating GCRs5. To test if HR acts to repair the damage caused by mrc1Δ in strains without SWR-C/Htz1, we measured the doubling times of wild-type, mrc1Δ, swr1Δ, and mrc1Δ swr1Δ strains with and without a rad52Δ mutation, which causes a substantial HR defect54. The rad52Δ mutation caused a modest increase in doubling time in the wild-type, mrc1Δ, and swr1Δ strains and a severely prolonged doubling time in the mrc1Δ swr1Δ strain (Fig. 3f). Therefore in the absence of SWR-C/Htz1, HR plays a crucial role in repairing the DNA damage that occurs in mrc1Δ strains.
Replication stress sensitivity without Mrc1 and SWR-C/Htz1
To gain insight into the role of the Mrc1/Tof1/Csm3-SWR-C/Htz1 interaction during replication stress as opposed to unperturbed cell growth, we measured the sensitivity of various single and double mutants to methyl methane sulfonate (MMS) and hydroxyurea (HU), which block DNA replication by causing DNA alkylation damage and depleting dNTP pools, respectively (Fig. 4a, b, and Supplementary Fig. 15)55,56. The swr1Δ and htz1Δ single mutants were weakly sensitive to MMS (htz1Δ > swr1Δ) and HU (htz1Δ >> swr1Δ), consistent with previous studies18. The mrc1Δ and mrc1-1-843 mutations individually caused weak or no sensitivity, respectively, to MMS and HU, but caused strikingly increased sensitivity to both drugs when combined with either swr1Δ or htz1Δ. In contrast, mrc1-aq did not cause increased HU or MMS sensitivity either as a single mutation or in combination with either swr1Δ or htz1Δ. The tof1Δ and csm3Δ mutations caused similar but weaker patterns of sensitivity to MMS and HU compared to mrc1Δ (Supplementary Fig. 15). In addition, the rad52Δ mrc1Δ and rad52Δ swr1Δ double mutants had synergistically increased sensitivity to HU compared to the rad52Δ single mutant (rad52Δ mrc1Δ > rad52Δ swr1Δ) (Fig. 4c). Consistent with the effect of rad52Δ on the doubling time of the mrc1Δ swr1Δ strain (Fig. 3f), the rad52Δ mrc1Δ swr1Δ triple mutant was extremely sensitive to HU and unable to grow even at the lowest HU concentration tested (10 mM) (Fig. 4c). Thus, the combination of defects in Mrc1/Tof1/Csm3 and SWR-C/Htz1 causes hypersensitivity to replication stress induced by exogenous agents and a requirement for HR for survival under these conditions.
Cell cycle defects without Mrc1 and SWR-C upon HU treatment
Plate-based HU and MMS hypersensitivity reflects the effect of replication stress over the course of 25–40 rounds of cell division. We next investigated if this sensitivity causes defects during the progression of a single cell cycle. Cells were first arrested in G1 phase, then allowed to progress to mid-S phase in medium containing 200 mM HU, and then released into medium lacking HU. We assessed cell cycle recovery by monitoring DNA content by FACS analysis at different time points (Supplementary Fig. 16). The swr1Δ and htz1Δ single mutants displayed slowed S phase progression in the presence of HU but recovered upon HU release (Supplementary Fig. 16). The tof1Δ single mutant had a similar profile to wild-type cells; however, the tof1Δ swr1Δ and tof1Δ htz1Δ double mutants showed little progression into S-phase in the presence of HU and were highly defective in recovering from HU treatment. Compared to the tof1Δ strain, the mrc1Δ strain had a greater defect in S phase progression in the presence of HU, and because of the severity of this defect, the differences between the mrc1Δ single mutant and the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants were less striking than between the corresponding tof1Δ single and double mutants (red curves in Supplementary Fig. 16). Upon release from HU, the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants showed more severe replication defects compared to the mrc1Δ single mutant. Overall, the effect of swr1Δ was similar to but slightly more severe than that of htz1Δ, both as single mutations and when combined with tof1Δ or mrc1Δ. Together these data suggest that loss of Mrc1/Tof1/Csm3 in combination with loss of SWR-C/Htz1 leads to defects in replication during recovery from replication stress.
Fork defects without Mrc1/Tof1 and SWR-C upon HU treatment
To better characterize the DNA replication defects caused by absence of Mrc1/Tof1/Csm3 and SWR-C/Htz1, we used two-dimensional (2D) gel electrophoresis to analyze the profile of replication intermediates adjacent to the early origin of replication ARS305 in cells replicating in the presence of 200 mM HU (Fig. 5a). After 1 h of replication in HU, the predominant replication intermediates in wild-type cells were replication bubbles formed during origin firing and large Y-arcs representing replication forks in the fragment analyzed; these intermediates showed decreased intensities at later time points, consistent with progression of the replication forks beyond the fragment analyzed (Fig. 5b). A population of X-shaped molecules was also visible in wild-type cells 2 h after release into HU; these likely represent hemicatenanes and/or transient recombination structures at stalled replication forks (Fig. 5b)57–59.
The swr1Δ and htz1Δ single mutants had persistent bubbles and Y-arc molecules (Fig. 5b; for example, see the 2-h time point), indicating slowed replication. This effect was accompanied by and potentially caused by reduced origin firing efficiency, as indicated by the reduced intensity of the bubble arc. These results are consistent with the observed cell cycle profiles (Supplementary Fig. 16A) and explain the slight delay in S phase progression (Fig. 5b, compare the 4 h FACS time points).
The mrc1Δ and tof1Δ single mutants had more pronounced replication defects than the swr1Δ and htz1Δ single mutants: the intensity of the bubble arc was reduced (Fig. 5b and Supplementary Fig. 17), and Y-arc and X-molecules accumulated at later time points (Supplementary Figs. 17, 18), suggesting differential processing of the stalled replication fork intermediates to recombination-like structures. Notably, small Y-molecules and cone structures were observed in mrc1Δ cells, resembling those reported for rad53 checkpoint mutants replicating in the presence of HU60,61, where the structures were attributed to resection of stalled forks and formation of reversed forks61–64 (Supplementary Fig. 17).
The tof1Δ swr1Δ and tof1Δ htz1Δ mutants had greatly exacerbated replication defects with substantially reduced origin firing, persistence of replication intermediates, and accumulation of cone structures (Fig. 5b and Supplementary Fig. 18). In contrast, unusual replication intermediates did not accumulate at detectable levels in the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants; however, this likely reflects the extreme replication defects of these double mutants, as evidenced by both the low intensity of the bubble arc and limited progression into S-phase as measured by FACS (Supplementary Fig. 17- compare to Fig. 5b; Supplementary Fig. 16).
Because the aberrant DNA replication intermediates were more easily observable in the tof1Δ swr1Δ and tof1Δ htz1Δ double mutants, we tested whether these would be resolved if the strains were allowed to recover from a transient HU block. To test this, cells were first synchronized in G1 phase, then released into 200 mM HU for 4 h, and finally released into medium without HU for 2 h. The wild-type, swr1Δ, htz1Δ, and tof1Δ strains were able to recover from HU treatment over the course of 2 h, although some persistent replication intermediates were still observed in swr1Δ, htz1Δ, and tof1Δ cells during the first hour of recovery (Supplementary Fig. 18). In contrast, the tof1Δ swr1Δ and tof1Δ htz1Δ double mutants were more defective in cell cycle progression than the single mutants, and the levels of cone structures forming in the ARS305 region decreased over the 2-h time course as they were converted to other structures or DSBs (Supplementary Fig. 18). Together, these results indicate that SWR-C/Htz1 helps promote the processing of stalled DNA replication fork intermediates that are induced by HU and defects in Mrc1 and Tof1, facilitating replication progression.
Discussion
Previous studies have suggested a role for SWR-C/Htz1 in genome maintenance; however, the magnitude of the defects in genome maintenance-related functions caused by mutations affecting SWR-C and Htz1 are small18,20–26,65. Here, we found that loss of SWR-C/Htz1 plays a profound role in genome maintenance in the presence of replication defects caused by mrc1Δ, mrc1-1-843, tof1Δ, or csm3Δ. These combined defects caused: (1) significant increases in GCR rates and modest changes in the spectrum of GCRs formed, (2) hypersensitivity to chemical agents that induce replication stress, (3) a requirement for Rad52 for promoting cell division and survival under conditions of replicative stress, and (4) severe HU-induced replication defects leading to increased levels of aberrant replication fork structures. The mrc1Δ, tof1Δ, and csm3Δ mutations caused constitutive activation of the DNA damage checkpoint response, but this was not exacerbated by additional mutations in SWR1 or HTZ1. Together, these data support a model in which the absence of functional Mrc1 or Tof1-Csm3 causes replication defects resulting in DNA damage, necessitating chromatin-bound Htz1 for replication fork dynamics to prevent genome instability (Fig. 6).
Mrc1/Tof1/Csm3 are involved in normal replication fork progression and replication stress signaling. The mrc1Δ and tof1Δ mutants have increased levels of aberrant replication fork structures, and mrc1Δ, tof1Δ, and csm3Δ mutants also have increased DNA damage checkpoint activation. Although Mrc1, Tof1, and Csm3 have similar roles at the replication fork, mutations affecting MRC1, TOF1, and CSM3 cause distinct phenotypes: (1) Tof1-Csm3 promotes the Mrc1-replisome association, but the converse is not true38; (2) loss of Mrc1 causes a more severe reduction in replication fork speed than the absence of Tof1-Csm333,37–39; (3) Tof1-Csm3 is required for fork pausing at protein-DNA blocks, whereas Mrc1 is not37,39,40; and (4) Mrc1 and Tof1-Csm3 function in distinct pathways that promote the establishment of sister chromatid cohesion, albeit not to the same extent as cohesin itself43. Consistent with this, we found that: (1) mrc1Δ and the replication-defective mrc1-1-843 mutation cause large synergistic increases in GCR rates in combination with tof1Δ, csm3Δ, swr1Δ, or htz1Δ mutations, and in triple mutants containing tof1Δ or csm3Δ and swr1Δ or htz1Δ; and (2) mrc1Δ causes higher GCR rates than tof1Δ or csm3Δ when combined with swr1Δ or htz1Δ. Together with the observation that the checkpoint-defective mrc1-aq mutation caused much lower or none of the defects described above, depending on the assay, these results argue for an important role of SWR-C/Htz1 in suppressing GCRs caused by defective DNA replication. The effects observed here appear to be distinct from the ~twofold increase in the rate of point mutations when defects in SWR-C/Htz1 are combined with the pol3-L612M mutation in DNA polymerase δ, which increases base misincorporation rates24.
How does SWR-C/Htz1 promote the repair of replication damage? The similar dGCR rates of the mrc1Δ swr1Δ htz1Δ triple mutant and the mrc1Δ swr1Δ and mrc1Δ htz1Δ double mutants indicate that SWR-C suppresses GCRs by incorporating Htz1 into chromatin. Analysis of separation-of-function alleles of HTZ1 indicates that the known roles of Htz1 in promoting the relocalization of persistent DSBs to the nuclear periphery, promoting sister chromatid cohesion, and maintaining telomeric heterochromatin boundaries do not suppress the formation of GCRs in the absence of Mrc1. Moreover, the roles of SWR-C/Htz1 in preventing the spread of heterochromatin at silenced regions7,16 are unlikely to explain the effects observed here: (1) only 2 of ~ 240 genes involved in DNA replication or genome stability show modestly (~40%) reduced expression in the htz1Δ mutant, and these two genes only play a minor, if any, role in suppressing GCRs; (2) replication stress alters the expression of very few replication, repair or checkpoint genes45, and none of these appears to be regulated by Htz1 under normal conditions; and (3) the aberrant replication structures in strains with mutations in MRC1/TOF1 and SWR1/HTZ1 were observed at ARS305, which does not correspond to an Htz1-activated domain16. Finally, C-terminal truncation mutations of HTZ1 encoding Htz1 mutants that are not stably retained in chromatin47,48 result in synergistic increases in GCR rates when combined with mrc1Δ, like htz1Δ. Thus, stable incorporation of Htz1 by SWR-C is required for preventing genome instability in the presence of mrc1Δ-induced replication damage.
An important clue to the defects caused by loss of SWR-C/Htz1 is the suppression of growth defects of the mrc1Δ swr1Δ double mutant strain by HR and the accumulation of aberrant DNA structures during replication in the tof1Δ swr1Δ and tof1Δ htz1Δ strains. These results argue that the replication damage occurring in the absence of Mrc1/Tof1/Csm3 and SWR-C/Htz1 is processed into substrates for HR, such as DSBs or single-stranded gaps, whereas HR plays a less important role in strains lacking Mrc1/Tof1/Csm3 when SWR-C/Htz1 is present. Potential roles for SWR-C/Htz1 that are consistent with the analysis of replication intermediates are: (1) normal incorporation of Htz1 into chromatin may help directly stabilize damaged replication forks by preventing fork reversal (“Fork Stability Model”, Fig. 6); or (2) incorporation of Htz1 into chromatin could occur at sites of replication damage after the collapse of the replication fork and prevent processing of the replication damage to DSBs by helicases and endonucleases (“Collapsed Fork Stability Model”, Fig. 6). This stabilization could occur via direct Htz1-replication fork interactions, which could slow the MCM DNA helicase when it becomes uncoupled from the remaining replisome, and/or by formation of a specialized chromatin domain around the damaged site that may occur after replication fork collapse, which may be consistent with the role of Htz1 in antagonizing the formation of Rad51 filaments at HO endonuclease-induced DSBs25. In either case, the formation of DSBs in the absence of Mrc1/Tof1/Csm3 and SWR-C/Htz1 is consistent with the requirement for HR in the mrc1Δ swr1Δ strain and the formation of aberrant DNA structures at replication origins.
SWR-C/Htz1 and Mrc1 are evolutionarily conserved. Their homologs are significantly mutated (SRCAP in prostate cancer and glioblastoma; CLASPIN in gliomas and breast cancer) or overexpressed (H2A.Z in liver, colorectal, and metastatic breast cancer) in human cancers, and these alterations are predicted to play important roles in carcinogenesis66–71. It will be interesting to examine whether the genetic interactions described here are conserved in mammalian cells and play a role in cancer development.
Methods
Strains and plasmids
To test the effects of various mutations in the three GCR assays, the mutations were introduced into the strains RDKY7635 (dGCR), RDKY7964 (sGCR), and RDKY8625 (uGCR) using standard PCR-based gene replacement methods, and selected strains were also generated by genetic crosses between appropriate haploid parental strains. All gene deletions and mutations were verified by PCR amplification and/or Sanger sequencing. All strains were plated for single colonies and examined for the presence of more rapidly growing variants to ensure that the isolates used for individual experiments did not contain suppressors of growth defects. The genotypes of all strains are listed in Supplementary Table 6. The sequences of the primers used are listed in Supplementary Table 7.
The mrc1-1-843 allele was constructed by replacing 759 bp at the C-terminus of MRC1 with kanMX4 amplified from plasmid pFA6a-kanMX4. The protein expressed from this allele contains amino acids 1-843 of Mrc1, followed by the 10-amino acid sequence RTLQVDGSPG; this C-terminal end differs from the 200-amino acid sequence added to the C-terminus of the protein encoded by the previously described mrc1-C14 allele30 (Supplementary Fig. 19); however, both alleles cause the same phenotypes including resistance to 200 mM HU, viability when combined with deletion of RAD9, and delayed progression through S phase (Supplementary Fig. 19)30. The mrc1-aq allele was introduced into S. cerevisiae prior to introduction of the CAN1-URA3 cassette as follows: the mrc1-aq fragment from pET24/mrc1-aq (a gift from Huilin Zhou) was cloned into the plasmid pRS426 by gap repair, and kanMX4 (amplified from pFA6a-kanMX4) was cloned into the EagI restriction site downstream of mrc1-aq to obtain pRDK1779. The endogenous MRC1 gene in RDKY7629 (for dGCR and sGCR assays) and RDKY8624 (for the uGCR assay) was first replaced with URA3, and subsequently, the URA3 gene was replaced with the mrc1-aq.kanMX4 fragment amplified from pRDK1779 to obtain RDKY8304 and RDKY8818, respectively. RDKY8304 was transformed with the yel072w::CAN1-URA3 (amplified from plasmid pRDK1378 49) or the yel068c::CAN1-URA3 cassette (amplified from pRDK1379 49) to generate the dGCR and sGCR mrc1-aq strains RDKY8305 and RDKY9089, respectively, and RDKY8818 was transformed with the yel068c::CAN1-URA3 cassette (amplified from pRDK1379) to generate the uGCR mrc1-aq strain RDKY9091. The htz1-K(126,133)R allele was generated as follows: HIS3 was amplified from pRS303 using a forward primer containing the C-terminal 91 nucleotides of HTZ1 (nt 315–405) that included the K126R (c.377A>G) and K133R (c.398A>G) mutations. This amplicon was used to transform the desired strains, thereby introducing the two mutations in HTZ1 and inserting HIS3 downstream of the HTZ1 stop codon. HIS3 was also inserted similarly downstream of wild-type HTZ1 as a control. To mutate Htz1 lysines 4, 9, 11, and 15 (referred to in previous studies as K3, K8, K10, and K14), the HTZ1 ORF was cloned upstream of the hph locus in plasmid pFA6a-hphNT1 using the HindIII and SalI sites to obtain pRDK1834. The GeneArt Site-Directed Mutagenesis kit (Thermo Fisher Scientific) was used to simultaneously mutate HTZ1 nucleotides A11, A26, A32, and A44 to G (for K→R mutations) or nucleotides A10, A25, A31, and A43 to C (for K→Q mutations) to obtain plasmids pRDK1835 and pRDK1836, respectively. The mutant htz1 constructs including the hphNT1 region were amplified and used to transform RDKY7635 and RDKY8301. Because the hphNT1 marker caused an approximately threefold increase in the GCR rate in strains containing mrc1::kanMX4, the hphNT1 marker was eventually replaced with the HIS3 marker amplified from pRS30372; the presence of the HIS3 marker downstream of wild-type HTZ1 or mutant htz1 alleles had no effect on the GCR rate. To introduce EGFP downstream of DDC2 and HUG1, the relevant strains were transformed with an eGFP-hphNT1 cassette amplified from plasmid pYM2573 using gene-specific targeting primers. Strains used for 2-D gel electrophoresis experiments were constructed in the W303 strain background using standard PCR-based gene replacement methods, and their sensitivity to HU and MMS was verified.
Determining GCR rates
GCR rates were measured using fluctuation analysis by plating appropriate dilutions of saturated overnight cultures on YPD and GCR media6,74. For each strain, at least two independent biological isolates were tested using at least 14 independent cultures, and the median GCR rate and 95% confidence interval were calculated from the observed distributions of mutants74. p values for significance were calculated using the Mann-Whitney two-tailed test at the server http://vassarstats.net/utest.html.
Whole-genome sequencing (WGS)
Genomic DNA was prepared from S. cerevisiae strains using the Gentra/Puregene Yeast/Bact. kit (Qiagen). Libraries of 500–700 bp fragments were prepared from genomic DNA samples74. Briefly, genomic DNA samples were fragmented by sonication (Covaris) to obtain an average fragment size of 600 bp, and the fragments were blunt-ended and 5′-phosphorylated using the End-It DNA End Repair Kit (Epicentre Technologies). The DNA was then purified using the MinElute PCR purification kit (Qiagen), and 3′ ends were adenylated using Klenow DNA polymerase (NEB). Indexed Illumina adapters were then ligated to the A-tailed DNA fragments using Quick DNA Ligase (NEB), and the samples were purified using the MinElute kit. Size selection was performed using gel extraction to obtain 600–800 bp fragments, and the adapter-ligated fragments were enriched by PCR using the KAPA library amplification readymix (KAPA Biosystems) with primers AATGATACGGCGACCACCGAGATCTACAC and CAAGCAGAAGACGGCATACGAGAT. The libraries were then purified using gel extraction to select for 600–800 bp fragments. The library concentrations were measured in a Qubit fluorometer using the Qubit dsDNA HS assay kit. Sets of 12 libraries (10 nM each) were mixed for multiplexing and sequenced on an Illumina Hi-Seq 2000 instrument using the Illumina GAII sequencing procedure for paired-end short-read sequencing to obtain 50-bp reads.
Analysis of GCR structures from WGS data
Individual reads from all read pairs were mapped to the S288c reference genome using bowtie. The Pyrus suite (https://sourceforge.net/projects/pyrus-seq/) was used to determine genomic alterations including GCR structures from mapped sequence reads50.
Drug sensitivity assay
To test sensitivity to chronic exposure to HU and MMS, tenfold serial dilutions of cultures of selected strains grown in YPD medium at 30 °C were spotted on plates containing drugs at the indicated concentrations. Two independent isolates were tested for each strain, and the plating was performed in duplicate. The plates were photographed after 2 days of incubation at 30 °C or after 6 days for rad52Δ-containing strains. Representative images are shown.
Measurement of doubling times
Logarithmic-phase cultures grown in YPD medium at 30 °C were sampled at appropriate intervals, and their OD600 was measured using a Nanodrop spectrophotometer with 1.5-ml cuvettes. The doubling time was calculated from the logarithmic phase of the growth curves.
Measurement of Ddc2-GFP foci
Cells were grown in complete synthetic medium to log phase and examined by live imaging using an Olympus BX43 fluorescence microscope with a 60 × 1.42 PlanApo N Olympus oil-immersion objective. GFP fluorescence was detected using a Chroma FITC filter set and captured with a Qimaging QIClick CCD camera. Images were analyzed using Meta Morph Advanced 7.7 imaging software, keeping processing parameters constant within each experiment.
Fluorescence-activated cell sorter (FACS) analysis
Cell-cycle analysis was conducted using a standard protocol75. In brief, 1 × 107 cells were collected by centrifugation and resuspended in 70% ethanol for 16 h. Cells were then washed in 0.25 M Tris-HCl (pH 7.5), resuspended in the same buffer containing 2 mg/ml of RNaseA and incubated at 37 °C for at least 1 h, then treated overnight with proteinase K (1 mg per ml) at 37 °C. Cells were then resuspended in 200 mM Tris-HCl (pH 7.5) buffer containing 200 mM NaCl and 80 mM MgCl2 and stained in the same buffer containing 1 μM Sytox-green (Invitrogen). Samples were then diluted tenfold in 50 mM Tris-HCl (pH 7.8) and analyzed using a Becton Dickinson FACScan instrument. This FACS analysis verified that all of the strains used in the experiments reported in this study were haploids.
To measure Hug1-GFP expression, 1-ml samples of logarithmic-phase cultures grown in YPD medium were centrifuged, and the cells were resuspended in 1 ml sterile water. The cells were sonicated using a Branson Digital Sonifier by applying five 1 s pulses at 10% amplitude, with a 1 s interval between pulses. The cells were then directly used for FACS analysis in a Becton Dickinson FACS instrument.
Two dimensional (2D) gel electrophoresis
Purification of DNA intermediates and 2D gel analysis were performed as previously described76. Approximately 2–4 × 109 cells (200-ml cultures) were arrested by addition of sodium azide to a final concentration of 0.1% and cooled on ice before psoralen crosslinking. Cells were washed, resuspended in 5 ml cold water, transferred to small petri dishes and placed on ice. Furthermore, 300 μl of 4,5′,8-trimethylpsoralen solution (0.2 mg per ml in 100% ethanol) was added prior to extensive resuspension by pipetting, followed by 5 min incubation in the dark and 10 min of UV irradiation at 365 nm (UV Stratalinker, Stratagene). The procedure was then repeated three times to ensure extensive crosslinking. Cells were harvested by centrifugation, washed in cold water, and incubated in 5 ml of spheroplasting buffer (1 M sorbitol, 100 mM EDTA (pH 8.0), 0.1% β-mercaptoethanol, and 50 U zymolyase/ml) for 1.5 h at 30 °C. Subsequently, 2 ml water, 200 μl RNase A (10 μg per ml), and 2.5 ml Solution I (2% w/v cetyl-trimethyl-ammonium-bromide (CTAB), 1.4 M NaCl, 100 mM Tris–HCl (pH 7.6), 25 mM EDTA (pH 8.0)) were sequentially added to the spheroplast pellets, and samples were incubated for 30 min at 50 °C. 200 μl Proteinase K (20 mg per ml) was then added, and the samples were incubated at 50 °C for 90 min and then shifted to 30 °C overnight. The samples were then centrifuged at 4000 rpm for 10 min. The cellular debris pellet was retained for further extraction, and the supernatant was extracted with 2.5 ml chloroform/isoamylalcohol (24:1), and the DNA in the upper phase was precipitated by addition of 2 volumes of Solution II (1% w/v CTAB, 50 mM Tris–HCl (pH 7.6), 10 mM EDTA) followed by centrifugation at 8500 rpm for 10 min. The pellet was resuspended in 2 ml Solution III (1.4 M NaCl, 10 mM Tris–HCl (pH 7.6), 1 mM EDTA). Residual DNA in the cellular debris pellet was also extracted by resuspension in 2 ml Solution III and incubation at 50 °C for 30 min, followed by extraction in 1 ml chloroform/isoamylalcohol (24:1). The upper phase was pooled with the main DNA prep. Total DNA was then precipitated with 1 volume of isopropanol, washed with 70% ethanol, air-dried, and finally resuspended in 1X TE. The genomic DNA samples were digested with EcoRV and HindIII, and signals were detected following 2D gel electrophoresis and standard Southern blot procedures using a probe against ARS305 (Chr III 39002–40063; indicated in Fig. 5a).
Electronic supplementary material
Acknowledgements
This work was supported by NIH grant R01-GM26017 to R.D.K., support from the Ludwig Institute for Cancer Research to R.D.K. and C.D.P., and by an Italian Association for Cancer Research (AIRC) grant IG 18976 and European Research Council Consolidator Grant 682190 to D.B.
Author contributions
A.S., C.D.P. and R.D.K. conceived the overall experimental design. A.S. performed strain construction, quantitative rate measurements, drug sensitivity studies, and Hug1-GFP measurement. A.S. and C.D.P. analyzed the GCR structures derived from WGS data. B.-Z.L. analyzed Ddc2-GFP foci formation. B.S. and D.B. performed the 2-D gel electrophoresis and FACS experiments. A.S., C.D.P., D.B. and R.D.K. wrote the paper, and all other authors revised and modified the paper.
Data availability
All relevant data is available from the authors upon reasonable request. All WGS reads are available at the National Center for Biotechnology Information Sequence Read archive under accession numbers SRP128125 and SRP128567.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Supplementary Information accompanies this paper at 10.1038/s41467-018-06131-2.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data is available from the authors upon reasonable request. All WGS reads are available at the National Center for Biotechnology Information Sequence Read archive under accession numbers SRP128125 and SRP128567.