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Molecular and Cellular Biology, February 2006, p. 1014-1027, Vol. 26, No. 3
0270-7306/06/$08.00+0 doi:10.1128/MCB.26.3.1014-1027.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Margaret Dominska,1,
Michael J. Buck,1,2
Jennifer L. Gerton,3
Jason D. Lieb,1,2 and
Thomas D. Petes1*
Department of Biology and Curriculum in Genetics and Molecular Biology,1 Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-3280,2 Stowers Institute for Medical Research, Kansas City, Missouri 641103
Received 2 June 2005/ Returned for modification 28 June 2005/ Accepted 3 November 2005
| ABSTRACT |
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| INTRODUCTION |
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From studies of individual hot spots in Saccharomyces cerevisiae, as well as from more global studies, several generalizations concerning hot spots and cold spots can be made. First, DSBs usually occur in intergenic regions rather than within genes (4, 22, 58), suggesting a connection between "open" chromatin and preferred sites for Spo11p-induced cleavage. Second, for some hot spots (
hot spots), binding of transcription factors is required for hot spot activity (56) and DSB formation (19). This requirement for transcription factor binding does not indicate a direct connection between transcription and hot spot activity, since deletion of a TATAA sequence, which substantially reduces transcription of the HIS4 gene, has no effect on hot spot activity (55). Third, in addition to
hot spots, there are hot spots associated with nucleosome-excluding sequences (ß hot spots) (29) and local high G+C base composition (
hot spots) (22).
Hot spots share no obvious common sequence motif, and the mechanistic explanations of the associations described above are not clear. The simplest explanation of the observations is that hot spot activity is a function of a particular chromatin structure (43). In support of this explanation, mutations that affect chromatin influence hot spot activity (60, 61), although it has not been demonstrated whether these effects are direct or indirect.
The mechanism responsible for meiotic recombination cold spots in Saccharomyces cerevisiae is also not understood. Lambie and Roeder (33) showed that the centromere of chromosome III repressed meiotic crossing over and gene conversion. A reduction in the rate of DSB formation near the centromeres and telomeres of yeast chromosomes has been shown by Southern analysis of yeast chromosome III (4); by pulse-field gel studies of chromosomes I, III, and VI (30); and by a global analysis of DSB formation throughout the genome by using DNA microarrays (10, 22). In addition, the Ty retrotransposons have low levels of meiotic recombination (32), and insertion of a Ty element near a hot spot results in a substantial reduction in the activity of the hot spot (5).
In previous studies, we have examined factors required for the hot spot activity associated with the HIS4 gene (43). Four transcription factors bind upstream of HIS4: Bas1p, Bas2p, Gcn4p, and Rap1p (2, 3, 18, 52). Bas1p, Bas2p, and Rap1p are essential for hot spot activity (56, 57), and binding of Gcn4p has a stimulatory effect on recombination (1), although it is not absolutely required. Bas1p is a Myb-related transcription factor that is required for optimal levels of HIS4 expression (3, 52). In conjunction with Bas2p, Bas1p is involved in transcriptional activation of a number of genes involved in regulation of AMP and histidine biosynthesis. The activating effects of Bas1p and Bas2p on their target genes are strongest when cells are starved for adenine, but Bas1p and Bas2p are also required for optimal basal levels of expression for many of these genes (14). In addition to genes involved in adenine and histidine biosynthesis, several genes involved in one-carbon metabolism (for example, GLN1, SHM2, and MTD1) are regulated by Bas1p and Bas2p (15, 21).
About 20 genes have been shown to be regulated by Bas1p (16). Thus far, HIS4 is the only Bas1p-regulated gene for which the effect of Bas1p on meiotic recombination activity has been examined. To determine whether Bas1p stimulates meiotic recombination at all of its genomic binding sites, we have mapped all of the Bas1p binding sites in the genome and monitored the frequency of meiotic DSB formation for all yeast genes in both wild-type and bas1 mutant strains. As described below, we found that the effects of Bas1p on meiotic recombination activity are context dependent.
| MATERIALS AND METHODS |
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trp1 arg4 tyr7 ade6 ura3 spt22) and AS13 (a leu2 ura3 ade6 rme1) (51). A summary of the genotypes of haploid and diploid strains used in this study is in Table 1. Details of the constructions are in the supplemental material.
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Purification of hot spot-associated DNA from JG169 (wild-type) and PM216 (bas1) strains. The diploid JG169 and PM216 strains are homozygous for a gene encoding an epitope-tagged version of Spo11p (SPO11-ZZ::K.1.URA3) and rad50S. In rad50S strains, Spo11p is covalently attached to the DNA ends produced by the DSBs that initiate recombination (28). For preparation of the samples, strains were sporulated for 24 h. The Spo11p-associated DNA was prepared by immunoprecipitation using methods similar to those described by the Koshland lab (http://www.ciwemb.edu/labs/koshland/Protocols/Yeast/chipmod.html) with modifications described in the supplemental material. The Spo11p-enriched DNA was then used as a hybridization probe for the microarrays as described above, with ratios reflecting the relative recombination activity of each genomic interval.
Data analysis and data availability. The data from both the Bas1p binding studies and recombination activities were analyzed using the ChIPOTle version 1.0 software (13), which uses a sliding-window approach to identify and measure peaks of DNA binding activity. For each type of experiment, the input data for the ChIPOTle program were the median values of the log2 red/green (62) normalized ratio for each ORF or intergenic region. The motif search program MDscan (38) was used to identify the motif associated with Bas1p binding. Other details of the data analysis are described further in the supplemental material. Raw data are available from the University of North Carolina Microarray Database (https://genome.unc.edu/), and Excel spreadsheets for each microarray are in the supplemental material.
Southern analysis of DSB formation. DNA was isolated from meiotic and premeiotic cells by using a method described previously (42). Hybridization probes were prepared by PCR amplification of genomic DNA. The sequences of the primers used to prepare the probes are given in the supplemental material. As a control, all DNA samples were hybridized to the YGR177C probe, since this gene is a very strong recombination hot spot even in the bas1 strain.
| RESULTS |
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Our previous studies of meiotic recombination were done with diploids generated by mating two related haploids, AS4 and AS13 (51). All strains in the current study are isogenic to these strains, except for changes introduced by transformation (genotypes are given in Table 1). For the Bas1p binding studies, we used the diploid PM238, which is homozygous for the BAS1-ZZ allele, which encodes a Bas1p that is tagged at the C terminus with two immunoglobulin G binding domains (ZZ) from protein A of Staphylococcus aureus; proteins with the ZZ tag can be precipitated using beads with bound IgG. PM238 cells, incubated for 3 h in sporulation medium, were treated with formaldehyde to cross-link DNA to bound proteins, and the resulting Bas1p-DNA complexes were purified. Following reversal of the cross-links, the precipitated DNA was labeled and used as a hybridization probe for DNA microarrays that represented all of the yeast ORFs and intergenic regions (generally one spot per ORF or intergenic region).
The experimental samples were labeled with Cy3 or Cy5 fluorescent nucleotides, and a control sample of total genomic DNA was labeled with the opposite fluorescent nucleotide. The ratio of hybridization between the two probes was determined for each spot. Seven microarrays were analyzed using immunoprecipitates derived from independent meiotic cultures. This analysis was done with the ChIPOTle software (13). In brief, ratios derived from the microarray hybridizations were used to calculate a moving average along each chromosome, using a 1-kb window that was moved 250 bp at a time. The statistical significance of the binding peaks produced by this analysis was determined as described in the supplemental material. We considered peak values associated with a P value of
0.0005 to be significant. An example of this analysis for chromosome XI is shown in Fig. 1A. In the samples derived from sporulating cells, 107 significant binding peaks (hereafter referred to as "sites") were detected (see Table S1 in the supplemental material); the complete data set for these experiments, including P values, is at https://genome.unc.edu/.
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Gelling et al. (21) found that glycine induces many yeast genes, some involved in one-carbon metabolism (such as GCV1, GCV2, and GCV3) and some involved in purine biosynthesis. The latter class included ADE1, ADE2, ADE5,7, ADE13, and ADE17, genes also regulated by Bas1p. Gelling et al. found that the Bas1p binding motif was overrepresented in the genes of the one-carbon regulon and that GCV1 and GCV2 have decreased transcription in bas1 strains. In Fig. 3, we show the pathways connecting purine metabolism, histidine metabolism, and one-carbon metabolism. In sporulating cells, Bas1p binds to the upstream regions of a high fraction of these genes.
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Seven microarrays were analyzed using immunoprecipitates derived from independent vegetative cultures of PM238, grown in rich medium. We identified only 15 significant binding sites (P value of
0.0005). Using the same criteria described above, we determined that there were nine Bas1p binding sites likely to be involved in gene regulation, located upstream of 11 potential targets. In general, the hybridization signals observed for Bas1p binding sites in cells grown in rich medium were considerably weaker than those observed in sporulating cells (compare of Fig. 1A and B). Seven sites were upstream of single target genes, including GCV1, GCV2, GCV3, ADE2, SHM2, MTD1, and HXT1. Two sites were between the divergently transcribed genes IES5 and MET6 and the divergently transcribed genes JEN1 and SRY2. Interestingly, eight of these nine Bas1p binding sites were identified as among the top binding sites (highest degree of enrichment) in the cells incubated in sporulation medium (Table 2). The simplest interpretation of this result is that the adenine starvation that occurs in sporulation medium results in quantitatively more Bas1p binding, although the most highly occupied binding sites in each condition appear to be similar. Only one gene, HXT1, was identified in our mapping of the Bas1p binding sites in mitotic but not sporulating cells. Since HXT1 is more than 75% identical to five other genes, the interpretation of this binding is unclear.
Global analysis of recombination hot spots in a wild-type and bas1 yeast strains. Our study was motivated by the observation that the meiosis-specific DSB associated with the HIS4 recombination hot spot is dependent on Bas1p. To determine whether this relationship was general, we examined the relationship of Bas1p binding with meiotic recombination activity (level of DSBs) throughout the genome in both wild-type (JG169) and bas1 mutant (PM216) diploid strains. Both strains were homozygous for the rad50S mutation (allowing accumulation of Spo11p-associated broken DNA molecules [28]) and SPO11-ZZ (encoding a fully functional epitope-tagged Spo11p). For each strain, Spo11-ZZp-DNA complexes were isolated from cells sporulated for 24 h (details are in the supplemental material). The Spo11p-associated DNA was labeled with Cy3 or Cy5 fluorescently tagged nucleotides, and total genomic DNA from the same strain was labeled with the opposite nucleotide. Samples were then mixed and hybridized to microarrays containing ORFs and intergenic regions prepared as described by DeRisi et al. (17). Eleven microarrays were used for analysis of JG169 (each representing an independent sporulated culture), and 10 microarrays were used for PM216.
The data were analyzed by methods similar to those that we (22) and others (10) used previously (described in detail in the supplemental material). By comparing the ratio of hybridization of the DSB-enriched DNA (Spo11p-associated DNA) with the hybridization of the unenriched genomic DNA sample, in the wild-type strain we identified 605 ORFs that had significantly (P < 0.001) more DSB activity than the average ORF and 451 ORFs that were significantly "colder" than the average. The median ratio (log2 [Spo11p-enriched DNA/total genomic DNA]) for all ORFs and intergenic regions in the wild-type strain is given in Table S2 in the supplemental material. A representation of the recombination activity for the whole genome is shown in Fig. 4.
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Using the same procedures, we measured the recombination activities in PM216, an isogenic bas1 derivative of JG169. The data for all ORFs and intergenic regions are in Table S2 in the supplemental material. In general, the patterns of hot spots and cold spots were very similar in the wild-type and bas1 strains. Figure 5 shows recombination activity on chromosome III, indicating the reduction of hot spot activity near HIS4. The bas1 strain had 569 hot ORFs, comparable to the 576 observed in the wild-type strain. A total of 431 of the ORFs that were hot in the wild-type strain were also hot in the bas1 strain. Of the 145 that were hot in the wild-type, but not the bas1, strain, the average ranking was 0.836, indicating that these ORFs were only slightly below the cutoff for being hot. Clearly, most of the hot ORFs were not significantly affected by the bas1 mutation, and those that were affected were usually on the border of our criteria for being hot.
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Since Bas1p is a transcription factor that affects the transcription of multiple genes, the effects of the bas1 mutation on recombination activity could be direct or indirect. The effects of Bas1p on recombination activity are more likely to be direct for those genes whose upstream regions are bound by Bas1p. Table 2 shows the 56 Bas1p binding sites that we have identified; these sites are potentially involved in the regulation of 71 genes, since some of the binding sites are located between divergently transcribed genes. Of these 71 genes, recombination rates were significantly reduced for nine genes (SHM2, ADE17, ADE12, ADE13, HIS4, ADE1, YDR089W, MCH1, and SUT2) and significantly elevated for four genes (MRPS17, IES5, MTD1, and SEC20).
As expected from our previous analysis, recombination activity at the HIS4 locus was significantly reduced by the bas1 mutation (Table 2 and Fig. 5). To confirm the microarray results, we analyzed meiosis-specific DSB formation by standard Southern analysis for the HIS4, SHM2, ADE8, and MRPS17 genes. As predicted from the microarray data in Table 2, DSB formation was reduced by the bas1 mutation for HIS4 and SHM2, was unaffected by the bas1 mutation for ADE8, and was increased by the mutation for MRPS17 (Fig. 6A and B). For the HIS4 locus, we showed previously that hot spot activity is lost as a consequence of the bas1 mutation or deletion of the region containing the Bas1p binding site upstream of HIS4 (19, 56). There are two Bas1p binding sites located upstream of SHM2, at positions 221 and 271. We constructed a diploid (MD341) that had the wild-type BAS1 gene but was homozygous for mutations that altered the TGACTC binding sites to AAACTC; the allele with these upstream alterations is SHM2-1. As shown in Fig. 6C, the SHM2-1 mutation resulted in loss of the SHM2-related DSB.
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| DISCUSSION |
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Bas1p binding sites. When cells were grown in rich medium, we identified nine significant Bas1p binding sites corresponding to the target genes GCV1, GCV2, GCV3, ADE2, SHM2, MTD1, HXT1, IES5/MET6, and JEN1/SRY2. Fifty-six significant binding sites were observed in sporulating cells. The simplest explanation for the higher number of targets is that the sporulating cells are starved for adenine, a condition known to increase the transcription rates of many Bas1p-regulated genes (16). The transcription-stimulating effects of Bas1p require Bas2p, and the interaction between Bas1p and Bas2p occurs more efficiently in cells starved for adenine (47, 49, 63). Our results suggest that the Bas1p-Bas2p interaction increases the occupancy of these proteins at the promoter. Our list of Bas1p binding sites approximately doubles previous estimates of the number of genes likely to be regulated by Bas1p (15, 16, 21, 24, 50). It is possible, of course, that some of the genes that have Bas1p bound to their upstream regions are not regulated by Bas1p.
A microarray analysis of Bas1p binding has also been performed by Young and coworkers (24, 34). In the more recent publication from this group (24), Bas1p binding sites were examined in cells grown in rich growth medium (YPD) and in cells starved for amino acids. An analysis of their data indicates 27 significant (P < 0.001) Bas1p binding sites in cells grown in rich medium and 17 significant Bas1p binding sites in cells grown under conditions of amino acid starvation (24). For the cells grown in rich medium, eight of the nine sites that we identified are among the 27 sites detected by Harbison et al. (24). Of the 56 Bas1p binding sites that we identified in sporulating cells (a starvation condition), 8 were the same as those observed in amino-acid-starved cells (17 total sites) by Harbison et al. Thus, these studies agree reasonably well.
Although the effects of Bas1p on gene expression were first characterized for genes of the adenine and histidine biosynthetic pathways, some genes involved in the glycine, glutamine, and 10-formyl tetrahydrofolate pathways are also regulated by Bas1p and Bas2p (15, 21). There is a striking correspondence between the Bas1p binding sites detected in our study and the genes that are induced by glycine (21). Although we have not done expression studies, if most of the genes adjacent to the Bas1p binding sites are up-regulated in medium lacking adenine, these conditions would increase nucleotide production in several ways: (i) an increase in the enzymes of the adenine biosynthetic pathway, leading to AMP and GMP production; (ii) an increase in the enzymes of the histidine pathway, leading to increased levels of AICAR [5-amino-1-(5'-phosphoribosyl)-imidazole-4-carboxyamide] (one of the precursors in the production of AMP and GMP); and (iii) an increase in the production of 5,10-CH+-tetrahydrofolate, a cofactor required in the adenine biosynthetic pathway. It should be noted, however, that the induction of several genes (for example, GCV2) by glycine is, at least in part, separable from the induction of the same genes by adenine starvation, since gene expression is elevated by glycine even in the absence of Bas1p (21).
Relationships between recombination activity and local and global features of chromosome structure. We attempted to correlate the hot spots with a large number of factors (association with repetitive chromosome elements, gene expression studies, transcription factor binding sites, gene expression in sporulating cells, nucleosome occupancy, etc.), as described in the supplemental material. The strongest correlation was with local GC content, an association that we noted previously (22). As pointed out by Birdsell (6), the correlation is stronger for third-position GC-content than for total GC, although the correlation is striking for both (see Table S3 in the supplemental material). Birdsell (6) suggested that high recombination rates result in the formation of GC-rich regions as a consequence of GC-biased gene conversion. Since GC-rich sequences derived from bacterial plasmids often function as meiotic recombination hot spots in yeast (51, 59), we prefer the hypothesis that high GC content elevates recombination rates rather than vice versa. In addition, the recombination activities of a reporter gene integrated at multiple sites on chromosome III were strongly correlated with the GC content of the region flanking the insertion (11, 45). Despite the correlation between local GC content and recombination activity, it should be noted that all hot spots are not in regions of elevated G+C content, nor are all regions of elevated G+C content recombination hot spots.
Based on the observation that cohesins bind AT-rich regions (7, 23), we suggested previously (22) that hot spots might represent regions where the initiation of recombination was not prevented by cohesin binding. Another observation consistent with this hypothesis is that mitotic (23, 35) and meiotic (23) cohesins are preferentially located between convergently transcribed genes, regions that are negatively correlated with recombination hot spots. However, the observation that the correlation (see Table S3 in the supplemental material) between hot spots and third-position GC content is stronger than that between hot spots and binding of Rec8 (a meiosis-specific cohesin) argues that at least part of the effect of base composition is independent of cohesin binding. Another possibility is that regions of high GC content are associated with a chromatin modification that facilitates recombination (43). Relevant to this point is the observation that there is a very significant positive correlation between GC content of genes and their mRNA levels (40).
It is evident in this study, as in previous studies (4, 10, 22, 33, 44), that meiotic recombination near the centromeres, the telomeres, and the rRNA gene cluster is suppressed. Silencing of gene expression in S. cerevisiae is also associated with the telomeres and the rRNA genes, although not with the centromere (25). These effects, however, are much more local than the suppression of meiotic recombination. Although there is considerable telomere-to-telomere variation, the transcriptional silencing is usually limited to within a few kilobases of the chromosome end (48).
The absence of hot spots near the telomeres and centromeres argues that the frequency of recombination is controlled at least two levels. At the local level, recombination is affected by local GC content, transcription factor binding, and other factors. Superimposed on the local control is the suppression mediated by telomeres and centromeres. It is likely that both global and local controls are exerted by chromatin modifications, with the suppressing modifications being dominant. This type of model is consistent with the observation that hot spots moved to a novel chromosome context are often not hot spots (20).
Relationship between DSB formation and crossovers. In S. cerevisiae, about half of the DSBs are associated with crossovers and about half are repaired by mechanisms that do not lead to crossovers (46). Crossovers are measured in centimorgans (cM), with 1 cM representing 2% crossing over per tetrad. From comparisons of the genetic (measuring the frequency of crossovers) and physical maps, it is clear that the smaller chromosomes have more centimorgans per kilobase than the larger chromosomes (26). Assuming that all crossovers are initiated by DSBs, one could explain this result in two ways: either the smaller chromosomes have more DSBs per kilobase than the larger chromosomes, or the DSBs on smaller chromosomes are resolved as crossovers more frequently on the small than the large chromosomes. The recombination activity measured in our studies gives us the opportunity to address this question, because our data reflect the rate of DSB formation rather than the rate of crossovers.
To determine whether the ratio of DSBs to kilobases varies according to chromosome size, we summed the ratios of hybridization of the Spo11p-enriched sample/genomic DNA by using the ChIPOTle program (1-kb windows moved 250 bp at a time) for each chromosome; we refer to this sum as the "DSB activity" of the chromosome. These values were divided by the size of the chromosome. As shown in Table 3, the values for each chromosome (normalized to a value of 1 for the whole genome) were quite similar, varying between 0.99 and 1.12 for all chromosomes except chromosome XII (value of 0.70). The relatively small number of DSBs on chromosome XII reflects the 900-kb recombinationally silent rRNA gene locus of chromosome XII. In contrast, the normalized number of centimorgans per kilobase varied considerably, from 1.89 for chromosome VI (the second smallest chromosome) to 0.58 for chromosome XII (the largest chromosome). The negative correlation of chromosome size and crossovers per kilobase is very significant (P < 0.0001), even if chromosome XII is removed from the calculation (P = 0.0005). We also calculated the normalized crossovers divided by the normalized DSBs for each chromosome (Table 3). The four smallest chromosomes (I, III, VI, and IX) have the highest ratios. There is a very significant (P < 0.001) negative correlation between this ratio and chromosome size. A restatement of this conclusion is that a higher fraction of the DSBs are resolved as crossovers for the small chromosomes than for the large chromosomes.
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On the basis of the data of Baudat and Nicolas (4), the frequency of DSB formation on chromosome III is about 1 DSB/100 kb. If we assume that a crossover reduces the probability of an adjacent crossover over an interval considerably greater than the average distance between initiation events, then the small chromosomes would have reduced interference relative to the larger chromosomes. Since interference is sometimes observed for intervals that include about 250 kb flanking a crossover (39), this assumption seems reasonable. Kaback et al. (26) suggested a similar model in which the larger chromosomes initiate crossovers earlier than the smaller chromosomes and, therefore, have a longer time interval in which to experience interference. In summary, our results demonstrate that the relatively elevated rates of crossovers on small yeast chromosomes are not a consequence of relatively high rates of DSBs and are likely to represent an interference-related phenomenon. The suggestion that the probability that a DSB will be resolved as a crossover or noncrossover is affected by chromosome context is also consistent with the observations that the association between gene conversion and crossing over varies considerably for different loci in yeast (27).
This conclusion is somewhat in conflict with the recent observations of Turney et al. (53). Using strains with translocations between chromosomes III and VII, they showed that the degree of interference for two sets of three linked markers was unchanged when the size of the chromosomes was altered by more than a factor of two. There are a number of possible explanations of this discrepancy. First, their genetic background was different from the one used in our study. Second, the chromosomal alterations used in their study may have had unintended effects caused by repositioning of the centromeres or telomeres. Third, interference may be a sequence-specific phenomenon (as suggested [53]), and the sequences predisposed to interference may be preferentially located on the smaller chromosomes.
Effect of Bas1p binding on recombination hot spot activity. Our expectation for these experiments was that Bas1p would be a positive activator of recombination, acting locally to promote recombination of the DNA flanking its binding site. Instead, we found relatively few genes whose recombination was affected by the bas1 deletion. In our analysis, we concentrated on the genes whose upstream regions contained consensus Bas1p binding motifs, since the effects of the bas1 deletion on recombination were more likely to be direct for these genes. Of the 56 binding sites identified, the recombination activity was reduced for 9 downstream target genes, was elevated for 4 genes, and was unaffected for 43 genes (Table 2). We found that the strength of Bas1p binding was related to the probability that recombination was affected by Bas1p. In Table 2, of the 13 ORFs whose recombination activity was significantly affected by Bas1p, 9 ranked in the top 15 for binding activities and none ranked in the bottom 15, a significant departure from the null hypothesis (P value of <0.01 by the Fisher exact test).
Of the nine genes that had significantly less recombination activity in the bas1 strain, six (SHM2, ADE17, ADE12, ADE13, HIS4, and ADE1) were previously shown to be positively transcriptionally regulated by Bas1p binding (15, 16, 50), and three (SUT2, MCH1, and YDR089W) have not been shown to be Bas1p regulated. The mechanism by which Bas1p positively activates transcription is not completely clear. At the HIS4 locus, and at all other loci thus far examined, Bas1p acts in conjunction with Bas2p (52). This interaction is facilitated by a metabolite that accumulates in cells starved for adenine (49). An additional level of complexity is that HIS4 expression is activated (upon amino acid starvation) by Gcn4p, a protein that binds to a site that overlaps the binding site of Bas1p, and Rap1p, a protein that binds to the HIS4 upstream region (41). Rap1p binding is thought to displace nucleosomes, facilitating the interaction of Gcn4p and/or Bas1p/Bas2p with the binding site. Valerius et al. (54) argued that Gcn4p and Bas1p/Bas2p at the HIS7 locus stimulate transcription through two different pathways, Gcn4p by interacting with the Swi/Snf complex to remodel chromatin and Bas1p/Bas2p by interacting with SAGA. Since the SAGA complex contains Gcn5p, a histone acetyltransferase (31), Bas1p and Bas2p may be functioning indirectly by affecting the level of histone acetylation at its target loci. It should be noted that deletion of gcn5+ in Schizosaccharomyces pombe reduces the activity of the M26 hot spot (60).
In the context of the possible role of Bas1p in transcription, Bas1p-dependent hot spots may be those in which the entry of the recombination machinery (Spo11p and associated proteins) is helped by acetylation of histones flanking the potential DSB site. If this model is correct, it is unclear why the recombination activity of some loci was elevated by the deletion of BAS1. One possible explanation is that, for some loci, the chromatin-remodeling activities of Gcn4p might facilitate the entry of recombination machinery better than the presumptive histone acetylation activity promoted by Bas1p. Since these two proteins bind to the same sequence, deletion of Bas1p could result in better binding of Gcn4p.
Many of the genes located near Bas1p binding sites had the same recombination activity in wild-type and bas1 strains. This result demonstrates that Bas1p binding is neither necessary nor sufficient for recombination hot spot activity in otherwise wild-type cells. One explanation of this result is that the recombination activity of a region represents the integration of various chromatin-"loosening" modifications, with Bas1p being only one of the factors. At some loci, Bas1p might be the major contributor and, therefore, the absence of Bas1p would have a substantial effect of recombination activity; at other loci, the effects of other transcription factors would play a more substantive role. In addition, as indicated in Table 2, the relative affinity of Bas1p for its targets is not constant, and Bas1p would be expected to have more of an effect on genes located near the strongest binding sites (as discussed above). Another possibility is that there may be recombination-suppressing modifications (for example, histone methylation events) that preclude stimulation of recombination activity by Bas1p.
Summary. Our data indicate that Bas1p binding is capable of activating recombination, but this activation is context specific. The simplest interpretation of our data is that hot spot activity is governed by a balance between chromatin-loosening and -tightening activities that affect the accessibility of the DNA to the enzymes that initiate meiotic exchange (43). It is also possible, however, that the recombination machinery recognizes a specific histone "code." Further progress on this problem will require a detailed analysis of recombination activities in strains with various mutations affecting histone modifications and other chromatin-remodeling activities.
| ACKNOWLEDGMENTS |
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This research was supported by NIH grants to T.P. (GM24110) and J.D.L. (GM072518) and by grants from the March of Dimes (5-FY02-251) and the American Cancer Society (PF-99-017001-MBC) to J.L.G.
| FOOTNOTES |
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Supplemental material for this article may be found at http://mcb.asm.org/. ![]()
Present address: Department of Molecular Genetics and Microbiology, Box 3054, Duke University School of Medicine, Durham, NC 27710. ![]()
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