Summary
Elucidating the individual and collaborative functions of genome maintenance factors is critical for understanding how genome duplication is achieved. Here we investigate a conserved scaffold in budding yeast, Rtt107, and its three partners: a SUMO E3 complex, a ubiquitin E3 complex, and Slx4. Biochemical and genetic findings show that Rtt107 interacts separately with these partners and contributes to their individual functions, including a role in replisome sumoylation. We also provide evidence that Rtt107 associates with replisome components, and both itself and its associated E3s are important for replicating regions far from initiation sites. Corroborating these results, replication defects due to Rtt107 loss and genotoxic sensitivities in mutants of Rtt107 and its associated E3s are rescued by increasing replication initiation events through mutating two master repressors of late origins, Mrc1 and Mec1. These findings suggest that Rtt107 functions as a multi-functional platform to support replication progression with its partner E3 enzymes.
Keywords: Replication stress, Homologous recombination, Genome replication, Protein sumoylation, Histone modification
Graphical Abstract
Introduction
Exogenous and endogenous sources of stress generate many obstacles to the progress of DNA replication. To cope with this, cells have evolved networks of proteins that facilitate genome duplication. These include DNA metabolizing enzymes that remove impediments or enable repair synthesis, protein modifying enzymes that change substrate properties, and scaffolds that establish specific associations favorable for overcoming replication obstacles. Among them, some key factors play roles in multiple processes through collaborations with diverse regulatory proteins. Unraveling how these multi-tasking factors function in specific contexts during replication has been challenging due to the complexities of their interactions, but is vital to our understanding of genome maintenance and associated diseases.
Here we examine a group of such factors in the model system budding yeast, focusing on the central member Rtt107 (or Esc4). A key feature of this conserved scaffold protein is its six BRCT domains, a structure known to support multiple protein-protein interactions (Leung and Glover, 2011). The first four BRCTs of Rtt107, which are devoid of phospho-binding residues, associate with three genome maintenance factors: the Rtt101 cullin ubiquitin ligase complex, the Smc5/6 SUMO ligase complex, and another scaffold Slx4 (Chin et al., 2006; Ohouo et al., 2010; Roberts et al., 2006). Rtt107 and its three partners are individually required for genome duplication and cell viability under replication stress. Rtt107 is implicated in histone dynamics, with the Rtt101 ligase (or E3) composed of cullin Rtt101, linker Mms1, and substrate adaptor Mms22 (referred to as Rtt101Mms22) (Collins et al., 2007; Zaidi et al., 2008). Rtt101Mms22 is implicated in ubiquitinating acetylated histone H3 to facilitate nucleosome assembly during replication (Han et al., 2013). Both Rtt107 and Rtt101Mms22 mutants relieve growth inhibition caused by persistent histone H3 acetylation, suggesting a common role in histone regulation (Collins et al., 2007). Additionally, Rtt107 is implicated with Slx4 in reducing the Rad53 kinase-mediated DNA damage checkpoint response by counteracting the function of a Rad53-activator, Rad9; a regulation dubbed ‘checkpoint dampening’ (Ohouo et al., 2013; Cussiol et al., 2015).
Currently, it is unclear whether the checkpoint regulatory function of Rtt107 is shared by Rtt101Mms22, or how the two known Rtt107 functions are linked to those of the other Rtt107 interactor, the octameric Smc5/6 SUMO E3 complex that is implicated in replication fork regulation using both SUMO-dependent and -independent means (Ampatzidou et al., 2006; Branzei et al., 2006; Chen et al., 2009; Xue et al., 2014). The lack of understanding of these issues is partly due to insufficient information on how these proteins associate with each other; specifically, whether Rtt107 and its partner proteins form a mega-complex or exist as several independent complexes in cells. Additional gaps in our understanding of this group of proteins include their exact roles in DNA replication and how these roles are linked with other regulatory elements in the replication program.
Insights into these issues will be invaluable for understanding how Rtt107 and its partner proteins facilitate replication. Here, we address multiple facets of this question using a combination of biochemical and genetic approaches, and physical measurements of DNA replication through two-dimensional agarose gel (2D gel) electrophoresis, replication-coupled single-stranded DNA (ssDNA) profiling, and pulsed field gel electrophoresis (PFGE). Our results show that Rtt107 forms three distinct complexes in which the specific Rtt107 partner defines the function of each complex. We reveal a role for Rtt107 in collaborating with the Smc5/6 SUMO ligase to influence the sumoylation of specific replisome components, and that Rtt107 physically interacts with these sumoylation substrates. We also demonstrate that a main function of Rtt107 and its E3 partners during S phase lies in promoting replication progression. Interestingly, the lack of Rtt107 and its E3 partners can be partially compensated for by mutating two master repressors of late origins. Additional lines of evidence suggest that this compensation stems from improving chromosomal duplication through increased replication initiation events. These results support an intriguing model whereby Rtt107 collaborates with its partner E3 enzymes to assist replisomes in the synthesis of large replicons.
Results
Rtt107 interacts separately with Slx4, the Rtt101Mms22 complex, and the Smc5/6 complex
To understand how Rtt107 and its associated proteins affect replication, we first clarified if Rtt107 and its three binding partners formed distinct complexes or one mega-complex. These two interaction modes make different predictions. The ‘distinct complexes’ model predicts that: 1) the three Rtt107 partners do not interact amongst themselves, though each associates with Rtt107; 2) the interaction between Rtt107 and each of its partners is independent of the other two partners; 3) each complex exerts specific functions not shared by the others. Opposite observations would support the ‘mega-complex’ model. We tested these predictions to clarify how these proteins interact in vivo.
First, we used co-immunoprecipitation (co-IP) assays to query the association among the Rtt107 partners in the absence and presence of the replication stress agent methyl methanesulfonate (MMS). To this end, each of the examined proteins was endogenously tagged with an epitope at its C-terminal end. While Rtt107 co-purified with Mms22 either in the presence or absence of MMS, Smc5 did not (Figure 1A). Similarly, Rtt107, but not Smc5, associated with Slx4 in both conditions (Figure 1B). These results suggest that Smc5 is not part of a complex containing Mms22 or Slx4. In addition, the latter two proteins did not interact with each other, as Slx4 co-purified with Rtt107, but not Mms22 in both conditions (Figure 1C). Similarly, yeast two hybrid assay (Y2H) assays showed that while Slx4 and subunits of the Smc5/6 and the Rtt101Mms22 complexes interacted with Rtt107, no interactions among these Rtt107 binding partners were detected (Figure S1A-S1B). Thus, both co-IP and Y2H findings show that the three Rtt107 partners do not interact amongst themselves.
Rtt107 interaction with each partner is independent of the other two partners
To test the second prediction described above, we examined whether Rtt107 associates with each partner in the absence of the other two partners using co-IP before and after MMS treatment. We found that the Rtt107-Smc5/6 interaction was sustained when MMS22 or SLX4 was deleted (Figure S1C-S1D). Similarly, the Rtt107-Slx4 interaction was not diminished when either the Mms1 subunit of Rtt101Mms22 or the Nse5 subunit of Smc5/6 was absent (Figure S1E-S1F), and the Rtt107-Mms22 interaction was sustained in the absence of Slx4 or Nse5 (Figure S1G-S1H). These results show that the interaction between Rtt107 and each of its partners is independent of the other two partners.
Each Rtt107-containing complex affects a unique protein modification pathway
We moved on to examine the third prediction of the ‘distinct complexes’ model by using functional readouts. Rtt107 and Rtt101Mms22 act downstream of Rtt109, which acetylates newly synthesized histone H3 during S phase (schematized in Figure 1D, top). This H3 marker has to be deacetylated by Hst3 and Hst4 later in the cell cycle, otherwise cells endure persistent DNA damage that is particularly deleterious at higher temperatures (e.g. Maas et al., 2006, Celic et al., 2006). Such defects caused by Hst3 and Hst4 loss are suppressed by preventing the modified form of H3 from being incorporated into chromatin through removal of Rtt101Mms22 or Rtt107 (Collins et al., 2007). We confirmed that rtt107Δ and rtt101Δ suppressed the temperature sensitivity of cells lacking Hst3 and Hst4, but found that mutants of the Smc5/6 complex did not confer suppression (Figure 1D, bottom). In fact, mutation of the SUMO ligase subunit of the complex, Nse2/Mms21 (Nse2 hereafter), sensitized hst3Δ hst4Δ (Figure 1D, bottom), and a similar effect has also been reported for slx4Δ (Celic et al., 2008). These findings suggest that Smc5/6 and Slx4 do not collaborate with Rtt107-Rtt101Mms22 in histone acetylation-related regulation.
Rtt107 and Slx4 reduce Rad53 checkpoint activation by counteracting the Rad53 activator Rad9 (schematized in Figure 1E, top). We recapitulated the finding that removal of Rtt107 or Slx4 increases Rad53 phosphorylation levels, but found that cells lacking Nse2 SUMO ligase activity (nse2-11), Mms22 or Rtt101 all exhibited lower Rad53 phosphorylation levels than wild-type cells (Figure 1E, bottom). Thus, Rtt101Mms22 and Smc5/6 likely do not share functions with Rtt107-Slx4 in DNA damage checkpoint dampening.
As indicated above, the biological effects linking Rtt107 to Smc5/6 during replication stress remain unclear. As the latter is a SUMO E3 (schematized in Figure 1F, top), we examined the effect of Rtt107 on sumoylation of an Nse2 substrate, Smc5 (Zhao and Blobel, 2005). Both rtt107Δ and nse2 SUMO ligase mutants exhibited lower levels of Smc5 sumoylation, while rtt101Δ and slx4Δ sustained wild-type levels of Smc5 sumoylation (Figure 1F, bottom). These results suggest that Rtt107-Smc5/6, but not the other two Rtt107 partners, influence Smc5 sumoylation.
In summary, our biochemical, Y2H, and genetic results support the ‘distinct complexes’ model and strongly suggest that Rtt107 serves as a scaffold for three independent complexes, each with a unique partner that influences a different protein modification pathway.
Smc5/6 acts independently of Rtt107 in regulating recombination intermediate metabolism
After clarifying the manner by which Rtt107 interacts with its partners, we delved deeper to address the functional relationship between Rtt107 and its least understood partner, Smc5/6. Our findings presented above suggested a role for Rtt107 in the SUMO-dependent functions of Smc5/6 (Figure 1F). We asked whether Rtt107 is also involved in the SUMO-independent functions of Smc5/6, such as its interaction with and inhibition of the Mph1 DNA helicase that promotes recombination (Chen et al., 2009; Xue et al., 2014). Below, we present biochemical and genetic evidence showing that Rtt107 is not involved in this function of Smc5/6.
First, Rtt107 co-IPed with Nse6, but not Mph1, suggesting that Rtt107 does not associate with Mph1 (Figure 2A). Second, mph1Δ did not reduce the Rtt107-Smc5/6 interaction; conversely, rtt107Δ did not alter the Mph1-Smc5/6 interaction (Figure S2A-S2B). Thus, Rtt107 and Mph1 independently associate with Smc5/6, and do not affect each other's interaction with Smc5/6. Third, while mph1Δ suppressed the MMS sensitivity of nse2 mutants by reducing toxic recombination structures (Chen et al., 2009; Xue et al., 2014), it exacerbated that of rtt107Δ cells (Figure 2B). Fourth, while nse2 mutants increased recombination intermediate levels compared to wild-type cells as expected (Chen et al., 2009), rtt107Δ did not, as shown by 2D gel analysis of the region surrounding early origin ARS305 (Figure 2C).
These findings suggest that Rtt107 is not involved in this SUMO-independent function of Smc5/6. We conclude that while Smc5/6 and Rtt107 interact and similarly influence Smc5 sumoylation, each also associates with other partners to perform additional functions. Partially overlapping functions have also been reported for Rtt107 and Rtt101Mms22, as well as for Rtt107 and Slx4. For example, Rtt101Mms22 interacts with the replication protein Ctf4 independently of Rtt107 (Mimura et al., 2010). Thus, both Rtt107 and its three partners are multi-functional proteins collaborating with different factors, and their functions overlap only partially (schematized in Figure S2C).
Rtt107 promotes replisome sumoylation and interacts with replisome components
As our data showed that Rtt107 and Smc5/6 shared SUMO-dependent, but not SUMO-independent roles, we asked whether Rtt107 influences Smc5/6-mediated sumoylation events directly relevant to replication. As both Rtt107 and Smc5/6 are present at stalled replication forks (Lindroos et al., 2006; Roberts et al., 2008), we examined replisome components known to be sumoylated under replication stress (Cremona et al., 2012). We found that sumoylation of both DNA polymerase epsilon subunit Pol2 and replicative helicase subunit Mcm6 was reduced in nse2 SUMO ligase mutants (Figure 3A-3B). Importantly, a similar reduction was detected in rtt107Δ cells (Figure 3A-3B). These effects were specific, as sumoylation of another replication protein, Rfc1, was unaffected in either rtt107Δ or nse2 mutants (Figure 3C). In addition, rtt107Δ did not alter the sumoylation of other Nse2 substrates, such as cohesin and condensin subunits (Figure S2D). Moreover, the other Smc5/6 binding partner, Mph1, did not affect Pol2 and Smc5 sumoylation (Figure S2E). These findings suggest that Rtt107 is a unique Smc5/6 interactor that promotes its sumoylation of specific substrates, including replisome components and Smc5 (schematized in Figure 3D).
Considering that Rtt107 is a scaffold protein, we asked whether its observed effects on Pol2 or Mcm6 sumoylation are mediated by interactions with these proteins. Indeed, immunoprecipitation of Pol2 or Mcm6 co-purified Rtt107 (Figure 3E). Rtt107 also co-immunoprecipitated with another replisome component, Mrc1 (Figure 3F). Finally, Y2H studies using Rtt107 as prey against replisome components showed that Rtt107 interacted with Mcm2 and the N-terminal domain of Pol2 (Figure 3G). These results suggest a potential mechanism for Rtt107 in promoting sumoylation of replisome components by bridging the interaction between these substrates and the Smc5/6 E3 ligase complex.
Rtt107 loss impairs replication progression without affecting the origin firing program
Our results hitherto show that Rtt107 supports multiple functions defined by each of its three partners, including the sumoylation of Smc5 and replisome subunits. We then addressed how these functions of Rtt107 collectively influence replication under stress. After exposure to MMS, rtt107Δ cells are known to reduce chromosome entry into pulsed field gels, an indicator of incomplete replication (Rouse, 2004). Here we used 2D gel and genome-wide methods to show that rtt107Δ defects lie in replication progression, but not initiation.
We synchronized cells in G1 and released them into S phase in the presence of MMS (Figure S3A). Consistent with previous reports, wild-type cells showed robust firing at early origin ARS305 at 30 minutes after release, and no firing at three late origins, namely ARS1212, ARS609, and ARS1413 (Figure 4A, S3B). This is indicated by the presence and absence of bubble replication initiation structures, respectively. The origin firing patterns of rtt107Δ cells closely resembled that of wild-type cells at this time point (Figure 4A, S3B), suggesting that Rtt107 is not required for regulating initiation at these examined origins. We extended this finding genome-wide by measuring replication fork-associated ssDNA formation (Feng et al., 2006). As shown by a representative 550 kb region of chromosome XV, the profiles of wild-type and rtt107Δ cells closely resembled each other (Figure S3C). This result and our 2D gel findings indicate that Rtt107 is dispensable for the origin firing program.
Next, we examined the above-mentioned loci in mid to late S phase. At both 60 and 90 minutes, rtt107Δ cells showed reduced levels of Y-shaped replication intermediates compared with wild-type cells at the three late origins, located > 40 kb from the nearest activated early origins (Figure 4B-4D). The finding of a normal firing program but defective replication at regions far from early origins in rtt107Δ cells points to the importance of Rtt107 in fork progression under MMS conditions. As the three examined late origins are located on chromosomes of different lengths, this role likely reflects a general function not restricted to chromosome size. We note that the replication progression defect of rtt107Δ differs from that of DNA repair mutants, which show defective replication within 5-10 kb regions from fired origins (Vazquez et al. 2008). Consistent with this, rtt107Δ strongly sensitized mutants of DNA repair pathways in replication stress conditions (Figure S4). Both observations support a DNA repair-independent role for Rtt107 in replication progression.
Removal of a potent late origin inhibitor Mrc1 alters the replication program in rtt107Δ cells
After establishing that Rtt107 promotes replication progression, we examined how rtt107 mutants respond to global de-repression of late origin firing. In principle, de-repression of late origin firing reduces average replicon size, and thus should benefit cells defective in progression. Though evidence supporting this concept is seen in higher eukaryotes (reviewed in McIntosh and Blow 2012), none has been found in budding yeast. Such evidence in yeast would support a conserved relationship between replication progression and late origin firing, and would further define the roles for Rtt107.
We first queried mrc1Δ, as it causes the largest increase in the numbers of fired late origins amongst a collection of mutants in hydroxyurea (HU) conditions (Crabbe et al., 2010). Our replication fork-associated ssDNA analyses showed a similar effect for mrc1Δ in MMS conditions, with 174 late origins activated (Figure 5A, representative profile). Average profiles were generated by meta-analysis in areas spanning 20 kb on both sides of early or late origins (Figure S5A). As seen earlier, global increases in origin firing correlate with slower fork movement, likely because cellular levels of certain replication factors and DNA precursors are limited (e.g. Poli et al., 2012; Zhong et al., 2013). This replication profiling of MMS-treated mrc1Δ cells shows that Mrc1 loss results in potent late origin firing, accompanied by reduced fork movement.
The profiles of mrc1Δ rtt107Δ resembled that of mrc1Δ (Figure 5A, S5A). De-repression of two late origins in these mutants were verified by 2D gel analyses, as bubble-shaped replication firing structures were detected 30 minutes after release from G1 and largely diminished by 60 minutes (Figure 5B). Taken together, these results show that the effect of mrc1Δ on the replication program is maintained in rtt107Δ cells under MMS conditions.
Mrc1 loss rescues replication defects of rtt107Δ cells without correcting checkpoint levels
We proceeded to examine whether mrc1Δ-mediated increase of late origin firing benefits chromosomal replication in rtt107Δ cells. G1 arrested cells were released into MMS-containing media followed by recovery in normal media. PFGE and Southern blotting were performed to examine the replication of specific chromosomes. As shown in Figure 5C and S5B, nearly 95% of chromosome VI entered the gel (indicative of replication completion) in wild-type and mrc1Δ cells, but only ~60% did so in rtt107Δ cells after a 2 hr recovery. This number increased to ~80% in mrc1Δ rtt107Δ cells (Figure 5C, S5B). Similar findings were made for a large chromosome (Figure S5C). Thus, mrc1Δ improves chromosomal replication in rtt107Δ cells.
We excluded the possibility that the mrc1Δ suppression was due to resetting Rad53 phosphorylation levels, as Mrc1 removal in rtt107Δ cells did not reduce Rad53 phosphorylation levels when G1 cells were released into media containing MMS, though mrc1Δ alone exhibitedlower levels of Rad53 phosphorylation as expected (Figure 5D, S5D) (Alcasabas et al, 2001). This finding is consistent with the notion that although Mrc1 is a Rad53 activator, only the other Rad53 activator, Rad9, is involved in Rad53 hyper-activation caused by rtt107Δ and slx4Δ (Ohouo et al., 2013; Cussiol et al., 2015).
Mrc1 loss in rtt107Δ cells increases survival of replication stress
Correlating with improved chromosomal replication in rtt107Δ cells, mrc1Δ increased rtt107Δ cell survival of MMS on plates or during acute treatment (Figure 5E, S5E). Similar suppression was seen toward the replication stress agent, Camptothecin (CPT) (Figure S5F). Incomplete mrc1Δ-mediated suppression is consistent with its partial suppression of chromosomal replication in rtt107Δ cells. Regardless, that the mrc1Δ-mediated changes to rtt107Δ replication dynamics correlate with improved cell viability contrasts with observations that mrc1Δ exacerbates the phenotypes of many other replication mutants (e.g. Collins et al., 2007; Costanzo et al., 2010). In addition, it differs from the negative interactions observed between rtt107Δ and DNA repair mutants (Figure S4). Moreover, although mrc1Δ slows replication fork speed, other mutants with slower fork movement either negatively affected rtt107Δ or showed no suppression, suggesting that this feature unlikely accounts for the suppression of rtt107Δ defects(Figure S5G). These controls highlight the unique positive interaction between mrc1Δ and rtt107Δ.
Mrc1 loss benefits mutants of Rtt107-associated E3s that impair replication progression
Considering that Rtt107 functions with its three partners during replication, we examined which Rtt107 partner(s) shares a similar genetic relationship with Mrc1 and affects replication of regions far from origins. We found that mrc1Δ suppressed the MMS sensitivities of cells lacking any of the subunits of the Rtt101Mms22 complex, and mutants of Rtt109 and H3K56 acetylation site (Figure 5F). Additionally, mrc1Δ suppressed the MMS sensitivity of two mutants of the Smc5/6 complex (Figure 5F). In contrast, mrc1Δ enhanced the MMS sensitivity of slx4Δ cells (Figure 5F). We note that the differential genetic interactions of rtt107Δ and slx4Δ with mrc1Δ agrees with a recent report (Leung et al., 2014) and is consistent with our conclusion that the mrc1Δ suppression is not due to resetting of Rad53 activation levels (Figure 5D, S5D). In line with these genetic interactions, 2D gel analyses of three regions located > 40 kb away from origins showed that, like rtt107Δ, smc6 mutation or rtt101Δ also diminished replication at these regions (Figure S5H). These results suggest that Rtt107 and associated E3 complexes support replication progression, and that the loss of their functions can be compensated for by increased global origin firing.
A separation-of-function allele of Mec1 de-represses late origins in rtt107Δ cells
To further test the above notion, we asked if increasing late origin firing by another means can benefit cells lacking Rtt107 and its associated E3s. Among the mutants known to de-repress late origins, mrc1Δ and mec1-100 have the strongest effects (Crabbe et al., 2010). mec1-100 is a separation-of-function allele of the Mec1 checkpoint kinase, and under MMS conditions, it is known to specifically defective in repressing late origin firing (Paciotti et al., 2001; Zhong et al., 2013, Tercero et al., 2003), thus it is a useful allele for testing the above idea.
mec1-100 indeed exhibited a similar, though less potent, effect on the de-repression of late origins compared to mrc1Δ (Figure 6A, S6A). It has a slight reduction in fork movement, consistent with a previous study (Zhong et al., 2013). These features of mec1-100 were retained in rtt107Δ cells (Figure 6A, S6A). 2D gel analyses at two late origins, ARS1212 and ARS1413, confirmed origin firing in the rtt107Δ mec1-100 double mutant (Figure 6B). Thus, mec1-100 has similar, though less potent, effects as mrc1Δ on origin firing in rtt107Δ cells.
mec1-100 rescues defects in cells lacking Rtt107 and its partner E3s
In a similar experimental scheme as described above (Figure 5C), PFGE analyses of a medium- and a large-sized chromosome showed that mec1-100 enhanced replication in rtt107Δ cells, albeit to a lesser degree than mrc1Δ (Figure 6C, S6B). Consistently, mec1-100 partially rescued the MMS and CPT sensitivities of rtt107Δ cells (Figure 6D, S6C). Like mrc1Δ, mec1-100 also improved the MMS resistance of Rtt101Mms22, Rtt109, and Smc5/6 mutants (Figure 6D). The magnitude of suppression by mec1-100 was lower than that of mrc1Δ (Figure 6E), commensurate with their effects on the replication program. The fact that phenotypic suppression correlates in degree with changes in replication dynamics supports a model that additional origin firing benefits cells defective for Rtt107 or its partner E3s by providing an alternative means for completing replication.
Increased number of fired origins on a single chromosome improves its replication in rtt107Δ cells
As strong increases in origin firing at global level occurs concurrently with reduced fork speeds, we used an alternative strategy to provide direct evidence that increased origin firing per se improves chromosomal replication in rtt107Δ cells. This strategy alters a small number of origins on an artificial chromosome to avoid affecting the global replication program and fork speed. If the proposed model were correct, a chromosome with more origins should be replicated more efficiently than one with fewer in rtt107Δ cells, but not in wild-type cells. Two variants of chromosome III (or Chr. 3) lacking a portion of the right arm (referred to as Chr3ΔR, 170 kb) can be maintained in cells containing a normal Chr. 3 (Theis et al., 2007, 2010) (Figure 7A). One variant has 12 ARSs and the other has 7 ARSs, and are referred to as Chr3ΔR-12ARS and Chr3ΔR-7ARS, respectively. The extra five ARSs in the former are known to fire, and thus greatly reduce replicon sizes (Theis et al., 2007, 2010). Using PFGE coupled with Southern blot analysis, fully replicated Chr. 3 and Chr3ΔRs can be monitored as distinct bands.
Similar to three other chromosomes (Figure 5C, S5C, 6C, S6B), Chr. 3 replication in rtt107Δ cells was reduced compared with wild-type cells, as evidenced by the lower levels of Chr. 3 signals in gels, regardless of Chr3ΔR-12ARS or Chr3ΔR-7ARS (Figure 7B). When examining Chr3ΔR signals in gels, wild-type cells showed no statistically significant differences between -12ARS and -7ARS, suggesting that reduced number of origins was tolerated (Figure 7B). However, in rtt107Δ cells, the signal levels of Chr3ΔR-12ARS were ~3-fold higher than those of Chr3ΔR-7ARS (Figure 7B), indicating improved replication. These findings provide direct evidence that increasing origin firing alone can improve chromosomal replication in rtt107Δ cells.
Discussion
Replication stress has serious implications for cell survival and human disease. A large number of proteins in multiple cellular processes are employed to cope with such stress. Some factors have taken on multiple functions and lie at the nexus of several processes. These features make them critical for cell survival upon replication stress, but also more challenging to study their individual functions. Here we elucidate several important attributes of the multi-functional scaffold Rtt107 and its associated proteins (summarized in Figure 7C, left). Our data suggest that Rtt107 serves as the common scaffold for three distinct complexes, with each binding partner affecting a unique protein modification pathway. In particular, we propose a function for Rtt107 in promoting sumoylation together with Smc5/6. We also show that Rtt107 and its partner E3s support replication progression under replication stress. Strikingly, modulation of the replication program by increasing late origin firing correlated with better replication and increased survival in rtt107Δ and mutants of its associated E3s. We further provide several lines of evidence which indicate that increased replication initiation events account for the suppression. These results suggest that Rtt107 supports replication via multiple mechanisms, a subset of which can be compensated for by modifying regulatory circuitries controlling origin firing. Our model for the specific roles of Rtt107 and its associated E3s and the biological implication is discussed below.
Rtt107 interacts separately with three partners, one of which affects replisome sumoylation
Unlike scaffolds that simultaneously bind to several partners, our co-IP and Y2H results support the conclusion that Rtt107 forms mutually exclusive complexes with its partners (Figure 1A-1C, S1). This notion is strengthened by genetic and functional analyses (Figure 1D-1F). For example, examination of the shared functions between Rtt107 and Rtt101Mms22 (histone pathway) or Slx4 (checkpoint dampening pathway) suggests that Smc5/6 is likely not involved in these. Rather, we provide evidence that both Rtt107 and Smc5/6 affect the sumoylation of Pol2 and Mcm6, as well as Smc5 (Figure 1F, 3A-3B). That Rtt107 physically associates with replisome components (Figure 3E-3G) suggests that it may bridge the substrates and their E3 ligase. As both Rtt107 and Smc5/6 are recruited to stalled replication forks (Lindroos et al., 2006; Roberts et al., 2008), such sumoylation may influence replication restart by altering DNA polymerase or helicase properties. This idea is consistent with previous findings that ubc9 SUMO E2 and nse2 SUMO ligase mutants impair replication in MMS (Branzei et al., 2006; Cremona et al., 2012). We thus propose a plausible model for the role of Rtt107-Smc5/6 in replication, one that will serve as an important basis for investigation of replisome sumoylation.
It is worth noting that Rtt107's partners do not interact solely with Rtt107 (Figure S2C). In particular, we show that Smc5/6 plays a role in recombinational repair independently of Rtt107 via another binding partner, Mph1 (Figure 2; S2A-S2B). Therefore, Rtt107 and Mph1 each dictates an Smc5/6 function - in replisome sumoylation vs. SUMO-independent recombination regulation, respectively. This is an example wherein a small set of proteins can form multiple modular complexes to execute a larger, diverse set of functions.
Unique features of Rtt107-facilitated replication progression suggest a model for replisome progression
Our work reveals several unique features of Rtt107-based regulation. Both site-specific 2D gel and genome-wide ssDNA analyses suggest that rtt107Δ cells are proficient for the origin firing program, but are defective in replication progression, especially in regions far (> 40 kb) from fired origins (Figure 4, S3), suggesting that Rtt107 is particularly important for completing replication at the distal regions of a large replicon. Rtt101Mms22 and Smc5/6 mutants shared the same defects (Figure S5H). These features differentiate them from those of DNA repair and checkpoint proteins, which affect proximal replisome progression (Tercero and Diffley, 2001; Vazquez et al., 2008). In line with this, our genetic findings suggest that Rtt107 unlikely affects replication through a DNA repair function (Figure S4).
Another unique feature is that mutating two master repressors of late origins suppresses rtt107 defects. It is known that mrc1Δ and/or mec1-100 exacerbates mutants of many proteins aiding replication progression (e.g. Collins et al., 2007; Costanzo et al., 2010). That they globally increased late origin firing in rtt107Δ cells in a manner commensurate with their suppression of replication stress sensitivity and chromosomal replication defects (Figures 5A-5C, 5E, 6, S5A-S5F, S6) suggests that increased origin firing compensates for the impaired replication progression caused by Rtt107 loss.
Additional findings support this conclusion. First, mrc1Δ did not rescue Rad53 hyper-activation in rtt107Δ cells, suggesting that its suppression is not through Rad53 inactivation (Figure 5D, S5D). Consistent with this notion, mrc1Δ did not suppress the phenotype of slx4Δ (with higher Rad53 activation), rather suppressed the E3 mutants (with lower Rad53 activation)(Figure 1E; 5F). Second, genetic data suggest that reducing replication fork movement per se did not suppress the rtt107Δ phenotype (Figure S5G). Third, increasing the number of fired origins on a small chromosome improves its replication in rtt107Δ cells (Figure 7A-B), indicating that increasing replication initiation can compensate for Rtt107 loss.
Our findings suggest an intriguing model of how Rtt107 and its partner E3 enzymes promote replication progression (Figure 7C, right). We propose that the replisome is subjected to many forms of regulations as it traverses damaged templates, such as changes in protein-protein interactions and recruitment of additional proteins; as such, replisome behavior and properties are likely altered as it progresses along the replicon. Rtt107 and the E3 enzymes can be particularly important for assisting specifically altered forms of replisomes during the later part of synthesis. SUMO and ubiquitin modifications are likely important contributors to such Rtt107-mediated regulation: Smc5/6 acts through replisome sumoylation, while Rtt101 regulates histone dynamics, which is tightly linked to replisome functions (Burgess and Zhang, 2013).
In summary, our work brings to light Rtt107's distinct collaborations with three partners to achieve a versatile and multi-faceted cellular response to replicative stress. We have revealed unique features of this response and its implications for replication regulation under stress. Our findings also highlight the innate flexibilities of the replication program. While late origin inhibition can be important for cell survival under certain conditions, removal of this regulation can provide a backup mechanism when specific replication defects arise. As the proteins and regulatory circuitries examined in this study are evolutionarily conserved, these findings should also contribute to a greater understanding of replication stress response circuitries in human cells and how these may be altered during pathogenesis.
Experimental Procedures
Yeast strains, plasmids and general manipulation
Yeast strains are derivatives of W1588-4C, a RAD5 variety of W303 (MATa ade2-1 can1-100 ura3-1 his3-11,15 leu2-3,112 trp1-1 rad5-535) (Zhao and Blobel, 2005). At least two strains per genotype were examined in each experiment. Strains and plasmids are included in Supplemental Table (one strain is listed for each genotype). Standard yeast methods were used for strain construction. All fusion proteins supported cellular resistance to MMS, suggesting that tagging did not affect protein function (data not shown). Fusion proteins also supported known protein-protein interactions as seen in Figure 1. In addition, the functionality of some fusion constructs has been reported previously (e.g. Chen et al., 2009; Zaidi et al., 2008). Y2H and DNA damage sensitivity assays were performed using standard procedures with the plates incubated for 2-4 days at 30 °C, unless indicated otherwise. For Y2H, AD and BD constructs were introduced into reporter strains and cells were grown on SC-Trp-Leu plates. Positive interactions were assessed by growth after spotting or replica plating cells onto SC-Trp-Leu-His, SC-Trp-Leu-His+3mM 3AT or SC-Trp-Leu-Ade containing plates, as described previously (Duan et al., 2009). Cell viability was assessed by treating asynchronous cells with 0.015% MMS for 2 hrs. MMS was quenched by adding 5% Sodium Thiosulfate. Equal numbers of untreated and MMS-treated cells were sonicated and spread onto YPD media in triplicate and grown at 30 °C for 2 days. Colonies were counted and percentage of viability was calculated as: 100 × (colony numbers of MMS-treated cells / colony numbers of untreated cells). Means and SDs are shown unless otherwise indicated, and student's t-test was used for statistical analysis.
Co-IP assays
Co-IP assays were performed as in Chen et al., 2009. In brief, mid-log phase cells growing in the presence or absence of 0.03% MMS (2 hrs) were collected and lysed by glass bead beating, and proteins were immunoprecipitated using IgG-sepharose beads (for TAP tagged proteins) or with Protein G beads and antibodies. Benzonase (Novagen) was included during cell lysis to remove DNA. Samples were washed and eluted in SDS-containing buffer. In Figure 3E-3F, cells were arrested in G1 by alpha factor, released into YPD containing 0.03% MMS, and harvested 90 minutes after release, when cells were in S phase as assayed by FACS analyses. In other figures panels, +MMS samples were treated for 0.03% MMS (2 hrs). Mms22 is phosphorylated and the different appearance of its band may be due to this modification. Rtt107 interaction with Mms22, Rtt101 and Mms1 has been shown by Mimura et al., 2010 using co-IP and other methods. Nse5 degradation was achieved by adding 1mM IAA to media for 30 minutes followed by a second dose of 0.5 mM IAA added for 2 hrs.
Sumoylated protein detection
Sumoylated proteins were detected as in Hang et al., 2011. In brief, mid-log phase cells were treated with 0.03% or 0.3% MMS for 2 hrs, and lysed in denaturing conditions followed by immunoprecipitation. Proteins were incubated with Protein G agarose beads and Myc antibody or with IgG beads (for TAP tagged proteins), washed and eluted. Samples were separated by SDS-PAGE and analyzed by Western blot. An antibody specific to SUMO (Zhao and Blobel, 2005) was used to detect SUMO forms, while an antibody to Myc (9E10, MSKCC Monoclonal Antibody facility) or TAP (Sigma) was used to detect unmodified forms of proteins.
Rad53 phosphorylation analysis
TCA extraction was performed as in Chen et al., 2013. In brief, G1 arrested cells were released into 0.01% MMS containing media for 45 minutes and collected for Figure 1E and 5D. For Figure S5D, cells were arrested in G1 and released into 0.03% MMS containing media and samples were collected at 30, 60, and 90 minutes. Cell pellets were resuspended in 20% TCA, and lysed by glass bead beating. Lysates were washed with 5% TCA and centrifuged to collect protein precipitants. The pellets were then resuspended in Laemmli buffer, neutralized by 2M Tris, and boiled prior to separation by an SDS-PAGE. A Rad53-specific antibody (yC-19, Santa Cruz) was used to detect unmodified and phosphorylated forms of Rad53 by Western blotting.
2D agarose gel electrophoresis
2D gel analyses were performed as previously described (Friedman and Brewer, 1995). To examine recombination intermediates, cells were arrested in G2 phase by nocodazole and released into YPD media containing 0.03% MMS. Samples were taken at 90, 120, and 180 minutes to examine the ARS305 locus, since at these times recombination intermediates are abundant while replication intermediates are diminished. For other figure panels in which replication intermediates were examined, cells were arrested by alpha-factor in G1, released into media containing 0.03% MMS, and collected at 30, 60 and 90 minutes. DNA was extracted and digested by enzymes indicated in the figures and separated by agarose gel electrophoresis in two dimensions. DNA was transferred to Hybond-XL membrane (GE Healthcare) and analyzed by Southern blot hybridization using probes specific for the loci. Primers used for amplification of the probes are available upon request. For quantification, the signals of 1N DNA were obtained from shorter exposures while those of replication intermediates from longer exposures to ensure both types of signals are within the linear detection range of the PhosphorImager. Note that crosslinking agents were used to preserve recombination intermediates only in Figure 2 (Branzei et al., 2006). Our detection of replication structures at examined loci in wild-type cells is similar to previous reports (e.g. Shirahige et al., 1998; Tourriere et al., 2005).
PFGE analysis
G1 arrested cells were released into 0.03% MMS containing media for 90 minutes. 5% sodium thiosulfate was added to quench MMS and cells were released into media containing nocodazole (15 ug/ml) to prevent 2nd cell cycle entry. Samples from the indicated time points were embedded into agarose plugs and analyzed on a Bio-Rad CHEF apparatus as previously described (Cremona et al., 2012). The percentage of gel entry at recovery 2 hr for a particular chromosome was calculated by dividing the chromosomal band signals with the total chromosomal signals (band and well) after adjusting background signals. For Figure 7B, signals at recovery 1 hr were compared for Chr. 3 and Chr3ΔR variants in the plots shown. Relative ratio of Chr3ΔR/Chr. 3 yielded the same conclusion that more origins on Chr3ΔR improved the replication of this mini-chromosome in rtt107Δ cells but not in wild-type cells.
Chromoduction
Chr3ΔR variants were introduced to cells using chromoduction as described in Theis et al., 2007, 2010. In brief, donor and recipient strains were grown to late log phase in SC-Leu-Trp media and YPD, respectively. 5×106 cells of each strain were mixed in liquid YPD and incubated at 30° C for 4-8 hrs to achieve mating. Cells were collected by centrifugation and washed twice with sterile water and then plated out on SC-Leu-Trp media containing 60 μg Canavanine and 10 μg cyclohexamide for selecting recipient cells that receive Chr3ΔR without chromosomal transfer. Successful chromoduction of Chr3ΔR fragments were confirmed by PFGE and Southern blot.
ssDNA mapping
ssDNA mapping was performed as described in Peng et al 2014 and detailed in the Supplemental Experimental Procedures.
Supplementary Material
Highlights.
A genome maintenance scaffold Rtt107 interacts separately with three partners.
Partner interactions determine distinct functions, including replisome sumoylation.
Rtt107 supports replication progression without affecting initiation.
Increasing numbers of fired origins compensates for Rtt107 and its associated E3s.
Acknowledgements
We thank Iestyn Whitehouse for assistance with meta-analysis; David Toczyski, Maria Pia Longhese, Judy Campbell, Hannah Klein, Steve Brill, Lorraine Symington, and Carol Newlon for providing strains and plasmids; Zhao, Hurwitz and Pan lab members, particularly Prabha Sarangi and Xiao Peng, for discussion; Xiao Peng for the Nse5 degron, Koyi Choi and Lei Wei for subset of 2H analysis. This study was supported by US National Institutes of Health grants GM080670, American Cancer Society grant RSG-12-013-01-CCG, and a Leukemia and Lymphoma Society Scholar Award to X.Z., a Pathway to Independence Award (4R00GM08137804) from the National Institutes of Health to W.F., the Italian Association for Cancer Research (AIRC IG 14171), Fondazione Telethon (GGP12160), and European Research Council (REPSUBREP 242928) grants to D.B.
Footnotes
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