Abstract
The role of proteins often changes during evolution, but we do not know how cells adapt when a protein is asked to participate in a different biological function. We forced the budding yeast, Saccharomyces cerevisiae, to use the meiosis-specific kleisin, recombination 8 (Rec8), during the mitotic cell cycle, instead of its paralog, Scc1. This perturbation impairs sister chromosome linkage, advances the timing of genome replication, and reduces reproductive fitness by 45%. We evolved 15 parallel populations for 1,750 generations, substantially increasing their fitness, and analyzed the genotypes and phenotypes of the evolved cells. Only one population contained a mutation in Rec8, but many populations had mutations in the transcriptional mediator complex, cohesin-related genes, and cell cycle regulators that induce S phase. These mutations improve sister chromosome cohesion and delay genome replication in Rec8-expressing cells. We conclude that changes in known and novel partners allow cells to use an existing protein to participate in new biological functions.
How do cells adapt when a protein is asked to participate in a different biological function? Experimental evolution allows budding yeast to use the meiotic cohesin protein Rec8 in mitosis via mutations in other proteins other than Rec8 itself.
Introduction
Conserved biological functions, such as respiration, DNA replication, and chromosome segregation, are the result of the concerted action of many proteins. Although individual proteins have defined biochemical functions, such as those of kinases, proteases, and filament-forming proteins, the role they play in biological processes is determined both by their own biochemical properties and the interactions of these properties, both direct and indirect, with those of other molecules that contribute to the biological process. As a result, different members of a protein family can participate in different but related processes, such as the three different cyclin-dependent kinases (Cdks) that induce exit from G1 (Cdk4 and Cdk6), DNA synthesis (Cdk2), and mitosis (Cdk1) in the mammalian cell cycle [1,2].
How does evolution alter the properties of a protein and its interaction with other partners to allow it to participate in different biological functions? One approach to answer this question is to use experimental evolution to ask what must change, either in the candidate protein or elsewhere in the genome, to allow one protein to perform the function of another, related protein. We applied this approach to the kleisin protein family, whose members organize the structure of chromosomal DNA. In prokaryotes and eukaryotes, kleisins bind to structural maintenance complex (SMC) proteins to form a proteinaceous ring [3] that interacts with chromosomes. In most bacteria and archaea, there is a single kleisin and SMC protein [4,5]. In eukaryotes, kleisin and SMC proteins have duplicated and acquired specialized functions [3,6]. Kleisin-γ proteins associate with Smc2/Smc4 heterodimers to form the condensin complex [7], which regulates chromosome structure in mitosis and meiosis. Kleisin-α proteins interact with Smc1/Smc3 heterodimers to form cohesin, the complex that holds sister chromosomes together [8] and regulates the timing of chromosome segregation: cohesin holds chromosomes together from S phase, when DNA replication occurs, until the proteolytic cleavage of kleisin by separase opens the ring and allows sister chromosomes to separate from each other.
Most eukaryotes have two different kleisin-α proteins. The mitotic kleisin holds sister chromosomes together in mitosis, whereas the meiotic kleisin is expressed only in meiosis [9]. Both kleisins interact with Smc1 and Smc3, but their proteolysis is regulated differently to produce the different patterns of chromosome segregation in mitosis and meiosis. In mitosis, the protease that cleaves kleisin acts uniformly on all parts of chromosomes, leading to sister chromosome separation [10–12]. In meiosis, however, the regulation of kleisin cleavage is modified to allow two rounds of chromosome segregation to follow a single round of DNA replication, producing four haploid genomes: in meiosis I, cleaving the kleisin on the chromosome arms allows homologous chromosomes to segregate from each other, and then in meiosis II, cleaving the remaining kleisin, located near the centromeres, allows sister centromeres to segregate from each other [10,13]. Both cohesin complexes participate in additional functions. Mitotic cohesin regulates chromosome condensation [14,15], gene expression [16], and DNA damage repair [17,18] and meiotic cohesin regulates meiotic recombination [19,20] and chromosome topology [21]. Most eukaryotes have both mitotic and meiotic kleisins, suggesting that the duplication and divergence of these paralogous proteins occurred at or soon after the evolutionary origin of eukaryotes [22–24]. Both mitotic and meiotic kleisins retain their interaction with Smc1 and Smc3 and their role as targets of cell cycle–regulated proteolysis, but they interact differently with other partners to allow them to play distinct roles in the different patterns of chromosome segregation in mitosis and meiosis.
Despite their conserved biochemical function, the mitotic kleisin has difficulty in supporting the biological function of meiotic chromosome segregation and vice versa. In the budding yeast, Saccharomyces cerevisiae, the mitotic kleisin is encoded by SCC1 and the meiotic kleisin is encoded by recombination 8 (REC8). Replacing the coding sequence of REC8 by that of SCC1 during meiosis disrupts meiotic chromosome segregation [20,25] and the opposite experiment, expressing REC8 from the SCC1 promoter in mitosis, slows cell proliferation [13]. These results suggest that the functional difference between yeast kleisin proteins is mainly determined by the difference between their amino acid sequences rather than the promoters that control their expression. The mitotic and meiotic kleisins are thus an example of a common theme in protein evolution: an ancient separation between the function of two paralogous proteins that participate in different biological processes using biochemically similar functions. By substituting the meiotic kleisin for its mitotic relative, we can reveal what defects this replacement causes and ask how rapidly evolution can repair them. The defects help us to understand how the evolution of a protein’s biochemical function makes it specific for a given biological process. The mutations that are selected to repair the defects reveal genes that interact functionally with kleisin and the relative importance of mutations in kleisin and in its interacting partners in changing its role in a biological function.
Substituting the budding yeast meiotic kleisin, Rec8, for its mitotic counterpart, Scc1, reduces the reproductive fitness of budding yeast by 45%. We evolved parallel yeast populations that expressed Rec8 in place of Scc1 for 1,750 mitotic generations. Only one population had a mutation in Rec8, but we repeatedly found adaptive mutations in the transcriptional mediator complex, cell cycle regulators that induce the G1-to-S transition, and cohesin-related genes; these mutations restore sister chromosome cohesion and thus increase the fitness of the evolved populations. Unexpectedly, we found that replacing Scc1 with Rec8 leads to earlier firing of replication origins. All three classes of adaptive mutations restored the timing of genome replication to the wild-type pattern. Engineering mutations that reduced replication origin firing or slowed replication forks improved the fitness of Rec8-dependent cells, revealing a new link between genome replication and sister chromosome cohesion. Our results suggest that cells can adapt rapidly to use a protein in a different biological function by modifying the partners that the protein interacts with, directly or indirectly, rather than modifying the protein that must participate in the new function.
Results
Using the meiotic kleisin, Rec8, for mitosis leads to multiple defects
We examined the consequences of replacing Scc1 with Rec8 in the mitotic cell cycle (Fig 1A). Previous studies showed that replacing Scc1 with Rec8 impairs mitotic growth [13] and DNA damage repair [17], showing that Rec8 cannot completely substitute for Scc1 in mitosis. We compared the reproductive fitness and the cellular and molecular phenotypes of the Rec8- and Scc1-expressing strains, referring to the Scc1-expressing strain as wild type. We used competitive growth to measure the fitness of the Rec8-expressing strain relative to wild type in rich media: the fitness of the Rec8-expressing strain is only 55% that of wild type (Fig 1B).
We examined sister chromosome cohesion and chromosome segregation in Rec8-expressing cells. Because cells mis-segregating chromosomes become progressively more aneuploid, we wanted to examine acute rather than chronic effects of replacing Scc1 with Rec8. We expressed REC8 from the endogenous SCC1 promoter and conditionally expressed an additional copy of SCC1 from the galactose metabolism 1 (GAL1) promoter. The GAL1 promoter is rapidly repressed by glucose [26,27], allowing us to repress SCC1 expression rapidly and study the function of Rec8 in a single mitotic cell cycle. We confirmed that when SCC1 is turned off, expressing Rec8 slows progress through the cell cycle (S1A Fig). We assayed cohesion between sister chromosomes by following a single, green fluorescent protein (GFP)-tagged chromosome through mitosis. Chromosome 5 was labeled by the binding of a GFP-tet repressor fusion to an array of tet operators integrated near the centromere [28,29]. We asked if Rec8 could hold sister chromosomes together from S phase to mitosis by following the GFP-labeled centromeres (henceforth GFP dots) under the microscope as cells were released from a G1 arrest, allowed to proceed synchronously through the cell cycle, and then arrested in mitosis by benomyl that depolymerizes microtubules. In this assay, a pair of linked sister chromosomes appears as a single GFP dot, whereas sister chromosomes that have lost cohesion appear as two GFP dots (Fig 1C). The fraction of cells with two GFP dots in a population indicates the degree to which sister chromosomes have separated. From S phase to mitosis, the majority of the wild-type population showed a single GFP dot as expected (Fig 1C). In the Rec8-expressing strain, 10% of the population showed two GFP dots during S phase and this fraction rose to 50% in mitosis (Fig 1C). During a single cell cycle, the defect in sister chromosome cohesion of the Rec8-expressing strain was smaller than the defect in a strain completely lacking Scc1 (Fig 1C), showing that Rec8 retains some cohesin function.
Sister chromosomes must be linked to each other to allow their kinetochores to attach stably to opposite poles of the mitotic spindle. In this orientation, forces exerted on the kinetochores create tension that inactivates the spindle checkpoint, leading to the activation of anaphase-promoting complex, the activation of separase, the cleavage of kleisin, and the onset of anaphase [10]. The Rec8-expressing strain frequently failed to correctly orient sister kinetochores (S2 Fig), a defect likely to cause errors in chromosome segregation (S1B Fig). We hypothesized that the sister chromosome cohesion defect would activate the spindle checkpoint, thus prolonging mitosis. By tracking a G1-synchronized population, we found that cells with a 2C DNA content (which are in G2 or mitosis) persisted for longer in the Rec8-expressing strain than they did in wild type (compare the time points from 75 to 180 minutes, Fig 1D). Removing mitotic-arrest deficient 2 (Mad2), a spindle checkpoint protein [30,31], from the Rec8-expressing strain, increases the fraction of cells with a 1C DNA content (from 75 to 180 minutes, Fig 1D), suggesting that the sister chromosome cohesion defect activates the spindle checkpoint. In addition, compared to wild type, the Rec8-expressing strain showed more cells with a 2C DNA content at 30 minutes after entering cell cycle. This phenotype is not due to faster escape from a G1 arrest, because budded cells accumulate with indistinguishable frequency in wild-type and Rec8-expressing strains (S3 Fig). Unexpectedly, the mad2Δ, Rec8-expressing strain progressed through S phase with similar kinetics to wild type (see Discussion). In cells lacking kleisin or the cohesin loading complex mutant, the progression of S phase is identical to wild type [29], suggesting that the altered S phase progression is a specific feature of Rec8-expressing cells. In summary, replacing Scc1 with Rec8 leads to profound defects in sister cohesion and alters genome replication by an unknown mechanism.
We asked whether the phenotype of Rec8-expressing cells could be explained by reduced cohesin levels or reduced cohesin binding to mitotic chromosomes. We measured Rec8 levels in a synchronous cell cycle and compared them with those of Scc1 (Fig 2A). Scc1 was barely detectable in G1, peaked during S phase, and its cleavage product was detected at 60 minutes as cells entered anaphase. During G1 and S phase, there was 4-fold less Rec8 than Scc1. At 90 minutes, the Rec8 protein level decreased but we did not detect the cleavage product of Rec8, either because the onset of anaphase was asynchronous or the cleavage product is too unstable to be detected [13]. The lower Rec8 protein level could be due to inefficient protein synthesis or protein instability. We tested the second hypothesis by examining the stability of Scc1 and Rec8 in mitotically arrested cells: the half-life of Scc1 is 200 minutes, whereas Rec8 has a half-life of only 58 minutes (Fig 2B). The instability of Rec8 is due to the weak separase activity that exists outside anaphase [11]: reducing separase activity with a temperature sensitive mutation, extra spindle pole bodies 1–1 (esp1-1) [32], increases the half-life of Rec8 to 190 minutes.
Finally, we compared the binding of Rec8 and Scc1 to chromosomes by chromatin immunoprecipitation (ChIP). In mitotically arrested cells, immunoprecipitating Rec8 brought down less DNA at canonical cohesin binding sites than Scc1 (Fig 2C). This was not only true for individual sites but was also observed genome-wide. Calibrated ChIP-Seq revealed reduced levels of chromosomal Rec8 compared to Scc1 at peri-centromeres, where cohesin is most enriched, across all 16 chromosomes (Figs 2D and S4A). Among all chromosomes, the enrichment of Rec8 specifically at core centromeres is higher compared to that of Scc1, but lower in the flanking peri-centromeres (Figs 2D and S4B). This suggests that Rec8-containing cohesin is less efficient than Scc1 in translocating from its loading site at centromere. The reduced overall binding of Rec8 on mitotic chromosomes might be partially explained by the lower Rec8 level in mitosis (S5A Fig). To test this idea, we asked whether equivalent amounts of ectopically produced Rec8 and Scc1 can be loaded on chromosomes in G1. Although Scc1 is not normally expressed until the onset of S phase, ectopically expressing Scc1 in G1 allows cohesin to be loaded on chromosomes [34]. We expressed Rec8 or Scc1 from the GAL1 promoter in G1-arrested cells and measured their chromatin association by ChIP–quantitative polymerase chain reaction (qPCR). Although the levels of ectopically produced Rec8 were slightly elevated compared to that of Scc1 (S5B Fig), it showed reduced accumulation on canonical cohesin binding sites (Fig 2E). We conclude that Rec8 is both less stable and, independently, associates less well with chromosomes compared to Scc1. We suggest that these molecular defects lead to defective sister cohesion, errors in chromosome segregation, and slower passage through mitosis, leading to the production of dead and aneuploid cells, thereby reducing the fitness of Rec8-expressing cells.
Experimental evolution increases the fitness of Rec8-expressing strains
To study how cells adapt to a protein that performs an essential function poorly, we asked if experimental evolution would allow Rec8-expressing cells to acquire mutations that would improve their fitness; these mutations could occur either in REC8 or elsewhere in the yeast genome. We constructed fifteen ancestral clones, each containing a deletion of the chromosomal SCC1 gene and a centromeric plasmid expressing REC8 from the SCC1 promoter (PSCC1-REC8). Ancestral clones were inoculated into rich media at 30°C, and each culture was diluted 6,000-fold into fresh media once it reached saturation. This process was repeated, freezing samples every 125 generations, until the populations reached 1,750 generations (Fig 3A). At generation 375, the fitness of all the evolved populations had increased by 20%–30% relative to the Rec8-expressing ancestor. At the end of the experiment, the fitness of the evolved populations was 30%–80% greater than that of the ancestor and the fitness of two evolved populations (P13 and P15) was similar to that of wild type (Fig 3A and 3B).
To identify adaptive mutations, we sequenced the genomes of five ancestral clones and pooled genomes of 15 evolved populations at generations 375 and 1,750. We focused on non-synonymous mutations that were present at a frequency ≥90% in any evolved population (S1 File). The evolved populations had an average of nine mutations at generation 375 and 17 mutations at generation 1,750 that met this criterion. We found multiple mutations in three functional modules: the transcriptional mediator complex, cohesin and its regulators, and regulators of cell cycle progression from G1 to S phase. At generation 375, 14 out of 15 evolved populations had a mutation in the transcriptional mediator complex, and four populations had mutations in the other two cohesin subunits, SMC1 and SMC3, or separase, ESP1 (Fig 3B and S1 Table). At generation 1,750, the early mediator mutations were still fixed, one population had acquired a mutation in a second mediator subunit (SRB8), and one population still lacked a mediator mutation (Fig 3B and S2 Table). Twelve out of the fifteen mediator mutations targeted the cyclin-dependent kinase 8 (Cdk8) complex, a regulatory module of mediator, and nine of these twelve mutations produced early stop codons (Fig 3C). Mutations in cohesin-related genes were common at generation 1,750: SMC3, SMC1, and ESP1 were mutated in seven, two, and four evolved populations, respectively (Fig 3C). Seven populations had mutations in one of these genes, three populations had mutations in two genes, and five populations had not acquired mutations in any cohesin-related gene by generation 1,750. Four genes (MBP1, CLN2, SWI6, and SWI4) controlling the cell cycle transition from G1 to S were mutated in a total of six populations by generation 1,750, with both CLN2 and SWI4 mutated in population P3 (Fig 3B and 3C). In summary, nine out of 15 evolved populations acquired mutations both in the mediator complex and cohesin-related genes (Fig 3B). Only the three fittest populations had mutations in all three classes (cohesin-related, mediator, and G1-to-S regulators) and the fitness of two of these populations, P13 and P15, approached that of wild type (Fig 3B). We also searched for mutations in REC8, either in the coding sequence or the DNA 500 bp upstream and downstream of the ORF, using a lower threshold because our strains have two copies of REC8, one on the plasmid, driven by the SCC1 promoter, and one on the chromosome driven by the REC8 promoter. Population 12 had a single mutation (E148Q) on the plasmid-borne copy of REC8. Because this substitution is a conservative amino acid change, the position lies outside the regions of kleisin that are known to have interactions with other proteins, and it occurred in only one population, we do not know whether it is adaptive or a chance event.
In addition to point mutations, many evolved populations were aneuploid (Fig 3D). The five ancestral clones we sequenced had an extra copy of Chromosome 1, the smallest chromosome in budding yeast (S6A Fig). We think this reflects a combination of three factors, a very high frequency of chromosome mis-segregation in the ancestral Rec8-expressing cells, preferential mis-segregation of smaller chromosomes, and the small fitness cost of an extra copy of Chromosome 1 [35]. At generation 375, 12 populations had independently gained an extra copy of Chromosome 9, and seven also had an extra copy of Chromosome 1 or Chromosome 3 in part of the population. The other three were true haploids, with one having lost the extra copy of Chromosome 1 that was present in its ancestor. At generation 1,750, seven populations retained two copies of Chromosome 9, while the remaining populations had lost the extra Chromosome 9. Disomy for Chromosome 9 causes a slight fitness cost in wild type [35], but in our evolution experiment, the prevalence and persistence of Chromosome 9 disomes suggest that an extra copy of Chromosome 9 in Rec8-expressing cells is adaptive. We also detected two segmental duplication events at generation 1,750: population P4 duplicated part of Chromosome 4, and population P7 duplicated part of Chromosome 5 (S6B and S6C Fig). These duplicated regions are flanked by Ty1 transposons, suggesting segmental duplication is a result of recombination between homologous transposon sequences. The duplication on Chromosome 5 contains SCC4, whose duplication increases the fitness of strains that have cohesin defects that result from removing Ctf4 [36], and the other duplication lacks obvious candidate genes, making it unclear whether it was selected or a chance event.
The genetic alterations we found are specific to yeast cells adapting to expressing Rec8 rather than Scc1. Mutations in transcriptional mediator, cohesin-related genes, and the G1-to-S regulators have not been seen at frequencies that suggest they are adaptive in previous experimental evolution studies in S. cerevisiae [36–40]. In evolution experiments that improve the growth of haploid yeast in rich media, the most frequent ploidy change seen is diploidization [37,41], instead of gaining an extra copy of a specific chromosome, which has been seen for cells adapting to the absence of myosin [42] and growth at high temperature [43].
Reconstruction confirms that candidate mutations are adaptive
We tested the effect of putative causative mutations by engineering them individually into the Rec8-expressing ancestor and examining the fitness and phenotypes of the resulting strains. We focused on four groups of genetic changes: mutations in transcriptional mediator, cohesin components, regulators of the G1-to-S transition, and an extra copy of Chromosome 9. Mutations in the transcriptional mediator complex primarily targeted the Cdk8 complex: of its four components, SSN2 was mutated five times, SSN3 and SSN8 were each mutated twice, and SRB8 was mutated three times. Nine out of these twelve mutations led to early stop codons, suggesting that these mutations inactivate the module’s function. The mediator complex links the basic transcriptional machinery with transcription factors and controls various events in transcription, including transcriptional initiation, pausing, elongation, and the organization of chromatin structure [44]. The Cdk8 kinase module of mediator can positively or negatively regulate transcription [45]. We reconstructed mutations in three subunits (SSN2, SSN3, and SSN8) of the Cdk8 module. Each increased the fitness of the ancestor by 8%–25% (Fig 4A). Deleting the above genes also increased the fitness of the ancestor (Fig 4A), strongly suggesting that these evolved mutations are loss-of-function mutations. Of the mutations targeting cell cycle regulators, mutations in MBP1 and two of three mutations in CLN2 caused early stop codons (Fig 3C and S2 Table). We therefore mimicked the effect of these mutations by deleting the corresponding gene: mbp1Δ and cln2Δ increased the fitness of the ancestor by 20% and 25%, respectively (Fig 4B).
The mutations in cohesin-related genes affect essential genes and are thus unlikely to eliminate the function of these genes. Individual mutations in ESP1, SMC1, and SMC3 increased the fitness of the Rec8-expressing ancestor by 15%–31%, 14%, and 21%, respectively (Fig 4C). Our finding that Rec8 is sensitive to separase activity in mitosis (Fig 2B) raised the possibility that evolved esp1 mutations are hypomorphic alleles that weaken separase activity. We tested this hypothesis by expressing an extra wild-type copy of ESP1 in two evolved populations carrying esp1 mutations and their ancestors. As predicted, the extra copy of ESP1 reduced the growth of these two evolved populations but not their ancestors (Fig 4D), suggesting that these evolved esp1 mutations are hypomorphic. Consistent with this hypothesis, compromising separase activity by using a known temperature-sensitive mutation, esp1-1 [32], increased the growth of Rec8-expressing cells at the permissive temperature (S7 Fig).
The prevalence of Chromosome 9 disomy in our evolved populations suggested that two copies of Chromosome 9 confer a selective advantage on Rec8-expressing strains. Aneuploidy has been adaptive in several evolution experiments by increasing the copy number of a specific gene [42,46]. Chromosome 9 encodes a candidate gene, SCC3, whose protein product promotes cohesin association with chromosomes [47] by interacting with the cohesin loading complex [48] and Scc1 [49]. We asked if an extra copy of SCC3, in the absence of the other genes on Chromosome 9, could increase the fitness of the Rec8-expressing ancestor. We integrated an extra copy of SCC3 in the ancestor and found that this manipulation increased its fitness by 10% (Fig 4C), demonstrating that an extra copy of SCC3 is sufficient to increase fitness. To test if an extra copy of SCC3 is also necessary for increasing fitness, we deleted one copy of SCC3 in clones from seven evolved populations that carried two copies of Chromosome 9 at generation 1,750, reducing their fitness by 8% to 28% (Fig 4E). We conclude that an extra copy of SCC3 explains much of the selective advantage of carrying an extra copy of Chromosome 9.
Adaptive genetic changes restore sister chromosome cohesion
Do the adaptive mutations in Rec8-expressing strains increase fitness by improving sister chromosome cohesion? We engineered individual mutations into a Rec8-expressing strain containing a GFP-labeled Chromosome 5 and PGAL1-SCC1 and examined sister chromosome cohesion after acute depletion of Scc1. Individually deleting three subunits in the Cdk8 complex partially rescued the sister chromosome cohesion defect in cells where Rec8 was the only α-kleisin present (Figs 5A and S8). Amongst these genes, deleting SSN3, the kinase subunit of the Cdk8 complex, produced the greatest improvement in sister cohesion, comparable to the effect of the adaptive mutations in cohesin-related genes (SMC1, SMC3, or ESP1) or deleting the two genes that promote exit from G1, CLN2 and MBP1 (Fig 5A). An extra copy of SCC3, whose effect on fitness mimicked the Chromosome 9 disome, slightly improved sister cohesion (Fig 5A). Each evolved mutation also improved the accuracy of chromosome segregation in Rec8-expressing cells, with cohesin-related mutations having stronger effects than mediator mutations (S9 Fig). We conclude that mutations in transcriptional mediator, other cohesin components and separase, and cell cycle regulators can improve sister chromosome cohesion in Rec8-expressing cells.
We investigated the interactions between adaptive mutations in different functional modules. The fitness of the evolved population P15 approached that of wild type at generation 1,750 and it had acquired mutations in four genes (ssn2, esp1, smc1, and mbp1) representing effects of mediator, separase, cohesin, and the G1-to-S transition. We investigated the interaction between these four mutations. To examine fitness and sister chromosome cohesion, we constructed double mutants in the strain carrying a GFP-labeled Chromosome 5 and PGAL1-SCC1. For fitness, we saw two types of interactions: double mutations between any of ssn2Δ, mbp1Δ, and smc1-P15 had a fitness that was indistinguishable from the sum of the effects of the individual mutations (Fig 5B–5D), whereas the esp1-P15 ssn2Δ and esp1-P15 mbp1Δ double mutants were substantially fitter than the sum of the fitness increases in the individual mutants (Fig 5E and 5F). For sister chromosome cohesion, all the double mutants had smaller defects in sister chromosome cohesion than either single mutant with the exception of the mbp1Δ esp1-P15 and mbp1Δ smc1-P15 double mutants (Fig 5C and 5F), whose level of sister chromosome cohesion was either indistinguishable from or only slightly above that of the single mutants. This result suggests that mbp1Δ may have additional effects on fitness that are not mediated by improving sister chromosome cohesion. Overall, the interactions between mutations in different modules are additive or positively synergistic at the level of fitness and more complex at the level of sister cohesion.
We asked if the adaptive mutations altered the abundance of Rec8. We measured the Rec8 protein level in mitosis in seven strains, each containing an adaptive mutation in a different gene that appeared during our evolution experiment and was shown to increase the fitness of Rec8-expressing cells (S10 Fig). None of the mutations changed the level of Rec8, demonstrating that these adaptive mutations improve sister chromosome cohesion not by changing the amount of Rec8.
Adaptive genetic changes delay the timing of genome replication and improve sister cohesion
Cell cycle progression profiles showed that the ancestral Rec8-expressing strain progressed through S phase faster than wild type (Fig 1D). Because the linkage between sister chromosomes is established in S phase [29] and all the adaptive mutations improved sister chromosome cohesion in the Rec8-expressing strain, we asked if these mutations also affected the dynamics of genome replication. By tracking cell cycle progression after release from a G1 arrest, we found deletion of three subunits in the Cdk8 complex and mutations in SMC1, SMC3, or ESP1 decreased the fraction of cells that entered S phase right after exit from G1 (Fig 6A). We quantified the fraction of cells in S phase 30 minutes after release from a G1 arrest: 39% of wild-type cells were in S phase, whereas 57% of the Rec8-expressing cells were in S phase. In the Rec8-expressing strain, deleting genes encoding the subunits of the Cdk8 complex decreased the fraction of cells in S phase to 33%–50%, and mutations in SMC1, SMC3, and ESP1 decreased this fraction to 17%–40% (Figs 6B and S11). The budding index of these reconstructed strains are comparable to those of both wild-type and Rec8-expressing strains (S12 Fig), confirming that none of the mutations affect the timing of Start after release from a G1 arrest.
We asked how Rec8 altered genome replication and how individual adaptive mutations restored the tempo of genome replication to that of wild-type cells. We constructed a whole genome replication profile by genome sequencing multiple time points of a synchronized yeast population proceeding through S phase [50]. By analyzing changes in read depth during S phase, we calculated Trep, the time at which 50% of cells in a population complete replication at a given genomic locus. The profile of Trep across the yeast genome reveals the dynamics of replication: the peaks mark points at which replication initiates, namely a fired replication origin, and the slopes show the speed of the replication forks that move away from the origins. We compared the replication profiles of wild-type, scc1Δ, Rec8-expressing, and reconstructed strains that express Rec8 and carry a single adaptive mutation in one of three genes: ssn3Δ, esp1-P15, or smc1-P15. Compared to wild type, the Rec8-expressing strain fired many but not all replication origins earlier, and on average an origin fired four minutes earlier in the Rec8-expressing cells. In contrast, the temporal order of origin firing and the speed of replication forks were similar to those in wild type. The replication profile of scc1Δ strain was indistinguishable from that of wild type (S13 Fig). Three adaptive mutations we examined delayed origin firing to various degrees: ssn3Δ or esp1-P15 almost restored the pattern of origin firing to that of wild type. smc1-P15 made the firing of many origins later than those of wild type (Figs 6C and S14). Overall, the replication profiles of these reconstructed strains are more similar to the genome-wide pattern of wild type rather than that of the Rec8-expressing strain. We concluded that expressing Rec8 in mitosis advances the timing of origin firing, and therefore Rec8-expressing cells begin and finish genome replication earlier than wild type. Mutations in genes encoding the Cdk8 complex, cohesin, and separase restore the S-phase onset of Rec8-expressing strains by delaying origin firing. In Scc1-expressing cells, deleting the genes encoding the subunits of the Cdk8 complex altered the progression of S phase and led to an 8%–11% fitness reduction (S16 Fig), demonstrating that transcriptional mediator affects genome replication, even in the absence of Rec8, through an uncharacterized mechanism.
The correlation between the restored timing of genome replication and improved sister chromosome cohesion suggests that the dynamics of genome replication affect cohesion. Cohesin must be loaded onto chromosomes prior to or concomitant with the passage of the replication fork to be converted into functional cohesin, and delaying origin firing promotes the establishment of cohesive linkages near centromeres in a kinetochore mutant defective in cohesin accumulation at centromeres [51]. Based on these observations, we hypothesized that slowing genome replication would improve Rec8-dependent sister chromosome cohesion. To test this idea, we asked if manipulations that slow genome replication improve sister chromosome cohesion and the fitness of the Rec8-expressing strain, potentially by allowing more time for cohesin to load prior to replication fork passage. We found that both decreasing origin firing and slowing the movement of replication forks improved sister cohesion. Removing the two S phase cyclins, cyclin B (Clb)5 and Clb6, which delays replication origin firing [52,53], or reducing the speed of replication forks by removing Rrm3, a helicase involved in DNA replication [54], halved the sister cohesion defect in Rec8-expressing cells (Fig 6D) and increased their fitness by 31% (clb5Δ clb6Δ) and 24% (rrm3Δ) (Fig 6E). Slowing genome replication with hydroxyurea (HU), which lowers the concentration of deoxyribonucleotide triphosphates (dNTPs), also improved sister cohesion and fitness (Figs 6C and S17). We infer that in Rec8-expressing cells, the Cdk8 and cohesin-related mutations exert at least part of their effects by delaying genome replication and thus improving sister cohesion (Fig 7).
Discussion
We used experimental evolution to study how cells adapt to the demand that a protein performs in a different biological function. Budding yeast adapt to use the meiotic kleisin, Rec8, which normally functions in meiosis, to maintain the sister chromosome linkage required for accurate mitotic chromosome segregation. Whole genome sequencing of the adapted populations identified a mutation in REC8 in one population and repeated, adaptive mutations in three functional modules: the transcriptional mediator complex, cohesin structure and regulation, and cell cycle regulation. Individually, these mutations delay the timing of genome replication, improve sister cohesion, and increase the fitness of the ancestral, Rec8-expressing strain. Engineering mutations that delay the firing of replication origins or slow the speed of replication forks into the ancestral, Rec8-expressing strain increased sister chromosome cohesion and fitness, demonstrating a causal link between genome replication and sister chromosome cohesion. Our work suggests that mutations, both in the components and regulators of cohesin and in other proteins, which were not previously implicated in chromosome cohesion, improve the ability of the meiotic kleisin to function in mitosis, despite the passage of a billion years since the divergence between mitotic and meiotic kleisins.
What allows Scc1 and Rec8 to participate in two different forms of chromosome segregation? Cells that are forced to use Rec8 in mitosis have multiple defects that account for their reduced fitness. In G1, ectopically expressed Rec8 associates more weakly with chromosomes than Scc1 does. This defect may reduce the ability to productively load Rec8-containing cohesin on chromosomes. In mitotically arrested cells, Rec8 is less stable than Scc1, binds less well to peri-centromeres and chromosomal arms, and shows increased binding specifically at core centromeres. We suggest that the reduced pericentromeric binding in mitotically arrested cells destabilizes sister chromosome cohesion. Cohesin binding to chromosomes is initiated by cohesin loading, which is either specifically targeted to centromeres and dependent on the Ctf19 kinetochore complex [55,56], or generally loaded genome-wide. Following loading, cohesin translocates to other parts of chromosomes [57,58]. In mitosis, Rec8’s increased binding at core centromeres and reduced binding at peri-centromeres suggest that Rec8-containing cohesin can be targeted to centromeres but cannot translocate efficiently to the peri-centromeric borders, where most of Scc1-containing cohesin accumulates to generate linkages between sister chromosome [59]. Rec8’s genome-wide binding pattern suggests Rec8 does not associate with chromosomes in the same way as Scc1. The reduced stability of Rec8 in mitosis is partially due to separase activity: populations acquired hypomorphic alleles of separase, and a temperature-sensitive separase mutant stabilized Rec8 in mitotically arrested cells. In meiosis, the difference in the stability of the linkage with the two forms of cohesin is reversed: Scc1 near centromeres is not protected from separase activity, whereas Rec8 is [25]. Because the other cohesin subunits and cohesin regulators are present in both the mitotic and meiotic cell cycles, these differences must be due to differential modification of the known cohesin regulators or additional components that interact differently with Rec8 and Scc1. Why is Rec8 unable to fully substitute for Scc1 in the mitotic cell cycle? Our results do not distinguish between two possible trajectories that led to the functional separation between the current two kleisin paralogs: (i) A single kleisin cannot easily support the different forms of chromosome segregation seen in mitosis and meiosis, and this incompatibility forced the two kleisin paralogs to diverge from each other, and (ii) mutations that impaired Rec8’s ability to support mitosis accumulated by genetic drift rather than selection. Our work reveals the power of a variety of adaptive mutations affecting diverse modules to alter the ability of a protein to participate in a biological function. How specific are the benefits of the mutations that we observed to the cells using the meiotic kleisin in mitotic cell cycle? This question could be answered by investigating their effects in two contexts in wild-type cells: in mitosis that used the mitotic kleisin, Scc1, and in meiosis, with Rec8 expressed from its normal promoter.
What accounts for the genes that acquired adaptive mutations and the order in which mutations appear? We argue that the answer is a combination of the benefit conferred by mutations in a gene and the target size for these beneficial mutations. The mutations in the transcriptional mediator complex and genes regulating the G1-to-S transition are likely to be strong loss-of-function mutations: Many of the mutations are nonsense mutations and gene deletions mimic the effect of the evolved mutations. Two arguments suggest that the mutations in cohesin and its regulators are different: These are essential genes and their mutations accumulate later in evolution than the mediator mutations even though they produce similar fitness increases. This delay is consistent with the target for adaptive, cohesin-related mutations being smaller than the target for inactivating mediator. Genetic evidence suggests that the mutations in separase are mild loss-of-function mutations, but the effect of mutations in Smc1 and Smc3 are unclear. Mutations in these proteins can directly alter their interactions with kleisin, but any mutation that disrupts the essential biochemical activity of cohesin will be lethal. We argue that the number of mutations that change the regulation of the cohesin complex but not its essential activity is small, explaining the later accumulation of these mutations. We see frequent aneuploidy for Chromosome 9 and two different examples of segmental aneuploidy, each occurring in only one population. The prevalence of aneuploidy compared to segmental duplication in our evolution experiment is likely to be explained by frequent chromosome mis-segregation in Rec8-expressing cells. We demonstrated that gaining an extra copy of Chromosome 9, increasing the copy number of SCC3, could be beneficial to Rec8-expressing cells; however, at generation 1,750, five out of twelve populations lost one extra copy of Chromosome 9, suggesting the benefit of Chromosome 9 disome is transient in some evolved populations. We did not find any mutation or increased copy number of SCC3 in these five populations, suggesting that the loss of Chromosome 9 disome is not associated with the alteration of SCC3. We speculate that the fitness effect of gaining an extra copy of SCC3 competes with the cost of unbalanced gene caused by an extra copy of Chromosome 9 and the balance between the cost and benefit changes during the evolutionary trajectories of our populations. Because the segmental duplications were rare, we cannot conclude that they are beneficial. The segmental duplication on Chromosome 5 could promote adaptation of Rec8-expressing cells because the duplicated region contains SCC4, one component of the cohesin loading complex. Duplication of this gene improves sister chromosome cohesion in yeast cells adapted to replication stress [36].
We argue that considering the target size for different mutations explains why we saw only one mutation in Rec8 at generation 1,750. Because Rec8 and Scc1 have diverged substantially roughly a billion years, it may require multiple, simultaneous amino acid substitutions in Rec8 to improve its ability to hold mitotic sister chromosomes together. Even if single amino acid substitutions in Rec8 can improve its function in mitosis, there are unlikely to be many such mutations, and the selective advantage conferred by individual mutations is likely to be modest. In our experiment, mutation in Rec8 only occurred once, so we don’t know if it was selected. In contrast, the target size for inactivating mutations, such as those in mediator and G1-to-S regulators, are large. If the mutations in SMC1, SMC3, and ESP1 reduce some aspect of their function, the target size for mutations in these genes will be larger than the target size for mutations that improve Rec8’s mitotic function. Our results are consistent with other studies in which loss-of-function mutations are the first step in adaptation in laboratory evolution experiments [40, 60–62].
Mutational target size is likely to explain why adaptive mutations often occur outside the gene whose product is being asked to perform a different function. When Escherichia coli is experimentally evolved to use an enzyme that normally participates in proline synthesis, proline mutant A (ProA), to catalyze a similar reaction in arginine synthesis, most of the adaptive mutations are in other genes of arginine synthesis pathway, not in ProA [63]. Mutations outside the focal gene are also found when proteins are asked to perform the same function in a novel cellular environment. Thus, E. coli adapts to use orthologs of the folA gene, which encodes dihydrofolate reductase, via mutations in genes responsible for protein degradation rather than mutations in the folA ortholog [64]. We suggest that evolutionary changes in a protein’s function reflect a mixture of changes in its sequence and expression, changes in the proteins that it physically interacts with, and changes in other proteins that contribute to the biological function under selection. The number and diversity of these connections makes it difficult to predict the evolutionary trajectories that populations will follow as proteins are selected to perform new functions. Thus, evolutionary repair experiments are a strategy to learn more about the factors that regulate protein function and reveal previously unknown links between different functional modules.
Mutations in three functional modules, transcriptional mediator, chromosome cohesion, and cell cycle regulation, improve the fitness and chromosome segregation of Rec8-expressing cells. We used double mutants to probe the interactions between these modules, scoring both fitness and sister cohesion. Most pairs of mutations interacted roughly additively for both phenotypes, with some exceptions: Double mutations with esp1-P15 were substantially fitter than the additive expectation and double mutations with mbp1Δ increased fitness but did not improve sister cohesion, suggesting that this mutation has effects on both sister cohesion and some other function. None of the adaptive mutations increase the total level of Rec8 in mitotically arrested cells, suggesting that they likely alter the ability of Rec8-containing cohesion to form and maintain the linkages that hold sister chromosomes together.
Our work reveals a new regulatory link between sister cohesion and genome replication. The Rec8-expressing strain advances the timing of genome-wide origin firing and completes genome replication earlier than wild type. All the adaptive mutations we tested delay origin firing and improve sister cohesion. We found deletion of genes in the Cdk8 complex, separase mutation, and cohesin mutation all restore the pattern of origin firing towards that of wild type. This result is consistent with multiple populations acquiring mutations that inactivate genes (MBP1, CLN2, SWI4, and SWI6) that promote the passage from G1 to S phase. We speculate that slowing genome replication can promote sister chromosome cohesion in the Rec8-expressing strain. We tested the causality of this linkage using mutants that reduce origin firing or slow replication forks: Both manipulations improve the fitness and sister chromosome cohesion of Rec8-expressing cells, demonstrating that slower replication raises fitness. A recent study demonstrated that Mad2, the spindle checkpoint protein, regulates S phase by promoting translation of Clb5 and Clb6 [65], potentially explaining why mad2Δ also restores the S phase of Rec8-expressing cells to that of wild type. Our work demonstrates that mitotic sister chromosome cohesion can be improved by mutations that delay genome replication. The simplest explanation of this effect is that delaying the timing of replication allows more time for Rec8-containing cohesin to associate with chromosomes either before or during the passage of the replication fork.
Our work leads to a number of questions. Why does expressing Rec8 advance the timing of origin firing, while removing Scc1 has no effect? How do mutations in transcriptional mediator and cohesin-related genes affect replication? Are the effects of Rec8 on replication in the mitotic cycle related to its reported ability to stimulate genome replication in the meiotic cycle [66]? One possibility is that Rec8 affects replication by altering the level of chromosome-bound Rad53, a checkpoint protein that can regulate origin firing [67] and whose role has been reported to be altered in meiosis [68]. In early S phase, replication initiation is orchestrated by a series of molecular interactions: the proteins that activate DNA replication, like S-phase CDK and Dbf4-dependent kinase (DDK), recruit several initiation factors to form an activated helicase complex [69]. Cells can control the timing of origin firing by modifying the activity of these activators, limiting the dosage of replication initiation factors [70] or changing local chromatin structure, which affects how easily these regulators can access a given origin [71,72]. Further research is needed to determine whether Rec8 affects replication by increasing the expression of genes that control replication initiation or altering chromatin structure to make replication origins more accessible to initiation factors, or some combination of both. The combination of overexpressing four initiation factors and reducing chromatin compactness accelerates the firing of late replication origins, demonstrating that these factors can alter the dynamics of replication [70].
The most pressing question is how mutations in the transcriptional mediator complex, the major target of early adaptive mutations, alter the timing of genome replication and increase the fitness of Rec8-expressing cells. There are suggestions that transcriptional mediator is involved in genome replication. In budding yeast, genes of the Cdk8 complex have genetic interactions with genes that trigger replication initiation (DBF4, DPB11, SLD3, and CDC7) and core helicase components (SLD5) [73]. In fission yeast [74] and mammalian cells [75], mutations of the Cdk8 complex are reported to alter genome replication, suggesting our finding that the Cdk8 module is involved in genome replication is not species specific, although the detailed mechanism remains unknown.
Overall, this evolution experiment shows that mutations outside the meiotic kleisin, Rec8, improve its ability to support mitotic chromosome segregation. We speculate that the ability of mitotic and meiotic kleisins to participate in the related, but different, processes of mitotic and meiotic chromosome segregation evolved through a mixture of changes in kleisin itself and changes in other functional modules that regulate sister chromosome cohesion directly or indirectly. At least in laboratory experiments, the size and complexity of this molecular network provide a much larger target for mutations that alter the biological function of kleisin than the target presented by kleisin itself. More generally, we suggest that the ability of proteins to participate in novel functions, such as the divergence in the roles of paralogous proteins, depends on a mixture of mutations in the proteins themselves and the proteins that they directly or indirectly interact with.
Materials and methods
Yeast strains, plasmids, and growth conditions
All yeast strains are derivatives of W303, and their genotypes are listed in S2 File. For the yeast strain with a GFP-labeled Chromosome 5 and PGAL1-SCC1, yPH344 and yPH345 are haploid strains derived from a diploid strain made from a cross between FY1456 (the same strain as K7289, a gift from Dana Branzei) and yPH36. yPH346 is a haploid strain derived from a diploid strain made from a cross between FY1456 and yPH115. Strains carrying REC8 integrated at the endogenous SCC1 locus were generated by homologous recombination: A REC8-3xHA fragment was amplified from the plasmid pFA6a-REC8-3xHA-KANMX4, fused with 500-bp upstream and downstream DNA fragments of SCC1 coding sequence by PCR, and recombined with the SCC1 genomic locus. Strains used in the evolution experiment were generated from yPH280 by plasmid shuffling [76]. Standard rich media, YPD (1% yeast extract, 2% peptone, and 2% D-Glucose) was used for the evolution experiment. Growth conditions for each experiment are specified in the figure legends. Raffinose and galactose were used at 2%. Benomyl was used at 30 μg/mL. Cycloheximide was used at 35 μg/mL. HU was used at 12.5 mM. α-Factor was used at 10 μg/mL for bar1 strains and at 100 μg/mL for BAR1 strains. Methionine was used at 8 mM.
Experimental evolution
The haploid strain used in the evolution experiment was MATα scc1Δ pRS414-PSCC1-REC8-HA. To force yeast cells to depend on Rec8 for mitotic growth, five clones of yPH280 (MATα scc1Δ pRS414-PSCC1-REC8-HA pRS416-SCC1) were cultured in YPD to lose pRS416-SCC1, and cells without the SCC1-bearing plasmid were selected by the growth on 5-FOA plates. For each of the five clones, three independent 5-FOA resistant colonies were chosen, giving rise to the 15 ancestral clones in the evolution experiment. Each ancestral clone was cultured in 3 mL YPD to reach 108 cells/mL at 30°C and diluted 1:6,000 into a tube with 3 mL fresh YPD and incubated for 48 hours (before generation 375) or 24 hours (after generation 375). Each subsequent cycle used the same dilution. We estimated an effective population size of 6.3×105 cells using the formula [77], Ne = No×g, in which No is the initial population size (5×104 cells), and g is the number of generations, 12.6, during one cycle. After every 10 cycles, 1 mL culture was mixed with 500 μL 80% glycerol and frozen at −80°C. The evolution experiment was continued for 1,750 generations.
Fitness measurement by competition assay
An ancestral PSCC1-REC8 strain that expressed a fluorescent protein, mCitrine, under the ACT1 promoter was used as the reference strain (yPH447) in fitness competition assays with evolved populations and reconstructed strains carrying a single evolved mutation. For scoring fitness and sister cohesion in the same strain carrying a GFP-labeled Chromosome 5, a Rec8-expressing strain with PACT1-mChrerry (yPH472) was used as the reference strain.
All sample strains and the reference strain were grown to <107 cells/mL in YPD; cell density was measured using a Coulter Counter (Beckman Coulter). At the first time point, samples strains, either evolved strains or reconstructed strains carrying evolved mutations, were mixed with the reference strain at a ratio of 1:10. The initial cell mixture was diluted to 5×104 cells/mL in YPD and grown for 24 hours. At the second time point, the cell density was usually around 5×106 to 107 cells/mL. Cultures were diluted to 5×104 cells/mL to grow another 20–24 hours as the third time point. At each timepoint, 5×104 cells of each mixed culture were transferred to single wells of a 96-well plate with U-shaped bottom for flow cytometry. A BD LSRFortessa FACS machine equipped with High Throughput Sampler was used to collect 30,000 cells to quantify the ratio of the sample and the reference strain. The FACS data were analyzed using the FlowJo10.4.1 software. In addition to being mixed with sample strains, the reference strain was cultured separately to estimate the number of generations in an experiment. Each experiment was conducted in technical triplicates, and the fitness of each sample strain was measured in at least three independent experiments.
To calculate relative fitness, w, of each sample strain to the reference strain, we followed this formula: w = 1+s,
where s is selection coefficient: ,
in which g is the number of generations and is the ratio between a sample strain and a reference strain [78].
ChIP and qPCR
We followed the protocol of calibrated ChIP [79] to precipitate chromosome-bound kleisins. First, cell quantities were measured by multiplying culture volumes by optical density at 600 nm (OD600) and this product is referred to as O.D. units. A total of 20 O.D. of S. cerevisiae cells was cross-linked with 1% formaldehyde for 30 minutes at 25°C. Each S. cerevisiae cell pellet was mixed with 15 O.D. of the cross-linked S. pombe cells that expressed an epitope-tagged version of the Scc1 homolog (RAD21-HA). The inclusion of the fission yeast cells served as control to normalize technical variations between samples. This mixture was resuspended in ChIP lysis buffer A (50 mM HEPES-KOH at pH 7.5, 0.1 M NaCl, 1 mM EDTA, 150 mM NaCl, 1% TritonX-100, 0.1% Sodium Deoxycholate, and 1x protease inhibitor [Roche]) and further lysed by bead beating (BioSpec Products) with 0.5-mm glass beads (Biospec Products). To shear chromatin, a Covaris S220 instrument was used with the following program: peak incident power, 175; duty factor, 10%; cycle per burst, 200; treatment time, 250 seconds. After shearing, the cell lysate was centrifuged at 16,000g at 4°C for 20 minutes to collect the supernatant containing protein-bound, sheared chromatin. To pull down the fraction of chromatin bound by kleisin, 15 μL prewashed dynabeads, ProteinG (Invitrogen), and 7.5 μL anti-HA antibody (12CA5, Invitrogen) was added in 1 mL lysate and incubated at 4°C overnight. After immunoprecipitation, the beads were washed with ChIP wash buffer I (50 mM HEPES-KOH at pH 7.5, 0.1 M NaCl, 1 mM EDTA, 274 mM NaCl, 1% TritonX-100, 0.1% Sodium Deoxycholate), ChIP wash buffer II (50 mM HEPES-KOH at pH 7.5, 0.1 M NaCl, 1 mM EDTA, 500 mM NaCl, 1% TritonX-100, 0.1% Sodium Deoxycholate), ChIP wash buffer III (10 mM Tris/HCl pH 8.0, 0.25 M LiCl, 1 mM EDTA, 0.5% NP40, 0.5% Sodium Deoxycholate), and TE (10 mM Tris/HCl pH 8.0, 1 mM EDTA).
To process the sample for quantitative PCR, immunoprecipitated chromatin and a 1:100 dilution of the input chromatin were separately recovered by boiling with a 10% Chelex-100 resin (BioRad) before treating with 25 μg/mL Proteinase K at 55°C for 30 minutes. Samples were boiled again to inactivate Proteinase K, centrifuged, and the supernatant was subjected to qPCR on ABI 7900 using PerfeCTa SYBR Green FastMix ROX (Quanta BioSciences). The sequences of primers used for qPCR are listed in S3 Table. To calculate the enrichment of pull-down DNA in total input chromatin, we used the following formula: ,
ΔCt = CtChIP−(Ctinput−logE(dilution factor)), in which E is primer efficiency and dilution factor is 100. Enriched percentage of input is . At each cohesin binding site, the final enriched percentage of input is calibrated to the enriched percentage of input at a peri-centromeric site of the S. pombe genome.
For ChIP-Seq, chromatin was immunoprecipitated as described above, and purified chromatin was subjected to DNA end repair and dA tailing to make the sequencing library as described [79]. Samples were sequenced on a MiniSeq with 75 base paired–end reads (Illumina, San Diego, CA). ChIP-Seq data sets are deposited with the NCBI Gene Expression Omnibus under the accession number GSE 141598. Scripts and workflows used to analyze ChIP-Seq data are stored on the github repository (github.com/PhoebeHsieh-yuying). The enrichment of kleisin binding on chromosomes is visualized by Integrated Genome Viewer [33].
Cell cycle progression by flow cytometry
Yeast strains with PGAL1-SCC1 were grown in YEP containing 2% galactose to log phase. To synchronize populations in G1, cells were washed and diluted in YEP containing 2% raffinose and 100 μg/mL α-factor for 2 hours. G1 synchronization was confirmed by checking that the percentage of cells that had formed mating projections (shmoos) was over 90% using a light microscope (MICROPHOT-SA, Nikon). To restart the cell cycle without SCC1 transcription, cells were washed with YEP containing 50 μg/mL pronase (Sigma-Aldrich) twice and resuspended in YPD containing 50 μg/mL pronase at 30°C. A total of 1 mL of cells was collected and fixed by 70% ethanol at G1 and several time points after growth in YPD according to the figure legend of each experiment. Subsequently, fixed samples were treated with 0.4 mg/mL RNase A (Sigma-Aldrich) at 37°C overnight, followed by 1 mg/mL proteinase K (Sigma-Aldrich) treatment at 50°C for 1 hour. DNA was stained with 1 μM Sytox Green solution (Invitrogen). Prior to flow cytometry, the stained cells were sonicated for 30 seconds with 70% intensity by BRANSON Ultrasonics Sonifier S-250. A total of 10,000 cells were collected using a BD LSRFortessa FACS machine (Becton Dickinson). The FACS data were analyzed using FlowJo10.4.1. To quantify the fraction of replicating cells in the population at 30 minutes after release from the G1 block, the Watson (Pragmatic) model built in the cell cycle analysis tools of FlowJo was used to calculate the portion of cells that had completed replication (G2 peak), were undergoing genome replication (S phase), and were still in G1.
Sister chromosome cohesion assay and microscopy
Strains with tetO112 array integrated at the URA3 locus and tetR-GFP were used for assaying cohesion between sister chromosomes [29]. To examine sister chromosome cohesion in one cell cycle, sample preparation followed the same procedure as the cell cycle progression experiment except that cells were released from their G1 arrest into YPD containing 30 μg/mL benomyl to arrest them once they reached mitosis. At each time point, cells were fixed in 4% paraformaldehyde for 15 minutes, washed, and stored in a storage solution (1.2 M sorbitol, 0.1 M KH2PO4/K2HPO4) at 4°C. Images were taken with a 100× objective on a Nikon inverted Ti-E microscope with a Yokagawa spinning disc unit and an EM-CCD camera (Hamamatsu ImagEM); GFP was excited with a 488-nm laser with 25% laser power. For each image, a z-stack was taken with 41 z-steps spaced 0.5 μm apart. Images were analyzed by the Fiji distribution of ImageJ [80]. For each experiment, at least 100 cells are analyzed. Three independent experiments were conducted for each strain.
Measurement of protein abundance and protein stability
The protein-containing extracts from cell pellets were prepared by alkaline lysis [81] and analyzed on western blots. Protein extracts were resuspended with SDS sample buffer (10 mM Tris pH 6.8, 2% SDS, 10% glycerol, 0.004% bromophenol blue, and 2% β-mercaptoethanol) and boiled at 100°C for 5 minutes. Rec8 and Scc1 were all tagged with 3xHA at the C terminus of coding sequences, and anti-HA antibody (3F10, Roche) was used to detect the abundance of kleisin proteins. The abundance of hexokinase (Hxk1) was monitored as a loading control using an anti-Hxk1 antibody (USBiological Life Sciences, H2035-01). SuperSignal West Dura reagent (Thermo Scientific) was used for developing chemiluminescent signals. Chemiluminescent signals were detected by Azure Sapphire Biomolecular Imager, and quantification of protein abundance was analyzed by ImageStudioLite (www.licor.com/bio/image-studio-lite/).
To measure protein stability in mitosis, cells were arrested at metaphase in YPD containing 30 μg/mL benomyl for 2 hours and treated with cycloheximide at 35 μg/mL to inhibit protein synthesis. One milliliter of cells was collected for to prepare samples for western blotting at the indicated time points after adding cycloheximide. Protein half-life was analyzed as described [82].
Whole genome sequencing and analysis
Genomic DNA was prepared as described [61]. DNA sequencing libraries were prepared using the Illumina Nextera DNA library Prep kit as described [83]. The sequencing was done on an Illumina HiSeq 2500 with 125 base paired–end reads or Illumina NovaSeq with 150 base paired–end reads. Whole genome sequencing data were processed as described [61]. The Burrow-Wheeler Aligner (bio-bwa.sourceforge.net) was used to map DNA sequences to the S. cerevisiae reference genome r64, downloaded from Saccharomyces Genome Database (www.yeastgenome.org). The resulting SAM (Sequence Alignment/Map) file was converted to a BAM file, an indexed pileup format file, using the samtools software package (samtools.sourceforge.net). GATK (gatk.broadinstitute.org/hc/en-us) was used to realign local indels, and Varscan (varscan.sourceforge.net) was used to call variants. Mutations were identified using an in-house pipeline (github.com/koschwanez/mutantanalysis) written in Python. Variants that differ between the ancestral and evolved genome >10%, a threshold above average sequencing error, are called as mutations (S3 File), and any mutation present in >90% of sequencing reads in the evolved genome is defined as a fixed mutation. In our pipeline, mutations can be found in both coding and noncoding sequences. In this study, we focused on mutations that cause non-synonymous substitution in the coding sequence (S1 File). Scripts and workflows used to find evolved mutations are stored on the github repository (github.com/PhoebeHsieh-yuying). Whole genome sequencing data sets are deposited with the NCBI BioProject under the accession number PRJNA594153.
Generation of reconstructed strains
Individual mutations from evolved strain were engineered into the targeted locus of the ancestral strain by homologous recombination. A DNA fragment containing targeted gene with the desired mutation, a selection maker (HpHMX4 or HIS3MX4), and 300 bp downstream of the targeted gene was made by PCR. To measure the fitness effect of an evolved mutation in the ancestor, this DNA fragment was transformed into yPH280. The presence of the desired mutation was confirmed by Sanger sequencing. To measure the fitness effect of reconstructed mutations in the Rec8-expressing background, yeast cells were cultured in YPD to lose pRS416-SCC1 and cells without SCC1 plasmid were selected by the growth on 5-FOA plates.
To measure the effect of these reconstructed mutations on cell cycle progression and sister cohesion, the same transformation procedure was done in the PGAL1-SCC1 PSCC1-REC8 strain with GFP-labeled Chromosome 5 and phenotypes were assayed in the presence of glucose.
Whole genome replication profile
Yeast cells were arrested in G1 with 2 μg/mL α-factor and low pH as described [84] and released for entering the cell cycle in the same procedure of flow cytometry experiments. A total of 1 mL of cells was collected separately for DNA content analysis and genomic DNA extraction at the following time points: 0, 10, 20, 30, 40, 50, and 60 minutes after G1 arrest. Whole genome sequencing libraries were made as previously described. Sequencing was done on an Illumina NovaSeq with 150 base paired–end reads. Two separate experiments were done for each strain. Whole genome sequencing data sets are deposited with the NCBI BioProject under the accession number PRJNA594153.
The analysis of genome replication profile was done as described [36,50]. Reads mapping and CNVs detection were processed as in [61]. We followed the script in [36] to analyze change in the CNVs at multiple time points during S phase to generate whole genome replication profile. First, the read depth of every 100-bp window is normalized to the median read depth of a sequenced genome to control for sequencing variation between samples. To allow intra-strain comparison at multiple time points, the normalized read depth was further scaled to the median of DNA content obtained by flow cytometry to generate relative coverage to the corresponding G1 genome. The resulting coverage was then averaged across multiple 100-bp windows and a polynomial data smoothing filter (Savitsky-Golay) was applied to the individual coverage profiles to filter out noise. Replication timing, Trep, is defined as the time at which 50% of the cells in the population replicated a given region of the genome, which is equivalent to an overall relative coverage of 1.5×, since 1× corresponds to an unreplicated region and 2× to a fully replicated one. The replication timing Trep was calculated by using linear interpolation between the two time points with coverage lower and higher than 1.5× to compute the timing corresponding to 1.5× coverage. Final Trep were then plotted relative to their window genomic coordinates. Scripts and workflows used to generate whole genome replication profiles are stored on the github repository (github.com/marcofumasoni).
Supporting information
Acknowledgments
We thank Dana Branzei for providing yeast strain, Nichole Wespe and Marco Fumasoni for help with analysis of whole genome sequencing data, and Bauer Core Facility at Harvard for help with experiments. We thank Angelika Amon, Steve Bell, Jun-Yi Leu, Thomas LaBar, Andrea Giometto, Marco Fumasoni, and Hung-Ji Tsai for critical feedback on the manuscript. We thank members of the Murray lab and Marston lab for useful discussion.
Abbreviations
- Cdk
cyclin-dependent kinase
- Cdk8
cyclin-dependent kinase 8
- ChIP
chromatin immunoprecipitation
- Clb
cyclin B
- DDK
Dbf4-dependent kinase
- dNTP
deoxyribonucleotide triphosphate
- esp1-1
extra spindle pole bodies 1–1
- GAL1
galactose metabolism 1
- GFP
green fluorescent protein
- HA
hemagglutinin
- HU
hydroxyurea
- Hxk1
hexokinase
- Mad2
mitotic-arrest deficient 2
- ProA
proline mutant A
- qPCR
quantitative polymerase chain reaction
- Rec8
recombination 8
- SMC
structural maintenance complex
Data Availability
All non-WGS data are within the paper and its Supporting Information files. WGS data are held in public repositories: the NCBI Gene Expression Omnibus under the accession number GSE 141598 and the NCBI BioProject under the accession number PRJNA594153.
Funding Statement
Funding sources for authors include Wellcome Senior Fellowship 107827 to ALM, https://wellcome.ac.uk/funding/schemes/senior-research-fellowships; Welcome Centre core grant 203149 to ALM, https://wellcome.ac.uk/; National Institute of Health RO1-GM43987 to AWM, https://projectreporter.nih.gov/project_info_description.cfm?aid=9600703&icde=48408323; and National Science Foundation-Simons Center for the Mathematical and Statistical Analysis of Biology, #1764269 (NSF) and #594596 (Simons) to AWM, https://www.nsf.gov/awardsearch/showAward?AWD_ID=1764269&HistoricalAwards=false. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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