Abstract
Proteins of the conserved HP1 family are elementary components of heterochromatin and are generally assumed to play a central role in the creation of a rigid, densely packed heterochromatic network that is inaccessible to the transcription machinery. Here, we demonstrate that the fission yeast HP1 protein Swi6 exists as a single highly dynamic population that rapidly exchanges in cis and in trans between different heterochromatic regions. Binding to methylated H3K9 or to heterochromatic RNA decelerates Swi6 mobility. We further show that Swi6 is largely dispensable to the maintenance of heterochromatin domains. In the absence of Swi6, H3K9 methylation levels are maintained by a mechanism that depends on polymeric self‐association properties of Tas3, a subunit of the RNA‐induced transcriptional silencing complex. Our results disclose a surprising role for Swi6 dimerization in demarcating constitutive heterochromatin from neighboring euchromatin. Thus, rather than promoting maintenance and spreading of heterochromatin, Swi6 appears to limit these processes and appropriately confine heterochromatin.
Keywords: H3K9 methylation, heterochromatin, HP1 dynamics, Swi6, Tas3
Subject Categories: Chromatin, Epigenetics, Genomics & Functional Genomics; Transcription
Introduction
Eukaryotic genomes are packaged into a complex structure known as chromatin. The basic unit of chromatin is the nucleosome, which consists of two copies each of the histone proteins H2A, H2B, H3, and H4. The flexible N‐termini of histone proteins are subject to various posttranslational modifications associated with different types of chromatin. Originally defined cytologically as chromosome regions that do not undergo post‐mitotic decondensation but remain condensed during interphase, a distinct type of chromatin referred to as heterochromatin is generally characterized by histone hypoacetylation and specific methylation of lysine 9 of the histone H3 tail (H3K9me). This mark is a binding site for proteins containing a so‐called chromodomain (CD), such as proteins of the heterochromatin protein 1 (HP1) family that recognize and bind methylated H3K9 via their CDs (Eissenberg & Elgin, 2000; Bannister et al, 2001; Lachner et al, 2001).
HP1 proteins have long been thought to play a central role in the creation of a rigid, densely packed heterochromatic network that is inaccessible to the transcription machinery. However, several observations in the last decade have challenged this view (Buhler & Moazed, 2007; Grewal & Elgin, 2007). There have been numerous reports of low‐level transcription of heterochromatic regions in various organisms (Rouleux‐Bonnin et al, 1996, 2004; Lorite et al, 2002; Azzalin et al, 2007; Li et al, 2008; Pezer & Ugarkovic, 2008), and Schizosaccharomyces pombe mutants have been identified in which heterochromatic reporter genes are expressed without notable differences in H3K9 methylation or HP1 association (Buhler et al, 2007; Keller et al, 2012). Furthermore, genomewide studies of chromatin accessibility using in vivo methylation by the DNA adenine methyltransferase (Dam) in C. elegans showed only little variation (Sha et al, 2010), and DNA‐binding factors seem to have normal access to repressed sites, even in highly compacted mitotic chromosomes (Verschure et al, 2003; Chen et al, 2005). Finally, fluorescence recovery after photobleaching (FRAP) experiments in mammalian and S. pombe cells revealed that HP1 proteins are mobile molecules (Cheutin et al, 2003, 2004; Festenstein et al, 2003). Previous kinetic modeling indicated the existence of at least two kinetically distinct populations of the S. pombe HP1 protein Swi6 in heterochromatin, arguing for a stochastic model of heterochromatin in which Swi6 acts not solely by forming static oligomeric networks. These studies were performed in swi6Δ cells in which GFP‐Swi6 was ectopically expressed under the control of a thiamine‐repressible promoter (Cheutin et al, 2004). Whether Swi6 kinetics differ when Swi6 is expressed from its endogenous locus is not known.
In S. pombe, transcriptional activity within heterochromatin is particularly evident at pericentromeric repeat sequences, where RNA polymerase II is essential for RNA‐interference (RNAi)‐mediated assembly and silencing of heterochromatin (Volpe et al, 2002; Djupedal et al, 2005; Kato et al, 2005). Moreover, siRNAs homologous to centromeric sequences accumulate to relatively high levels (Reinhart & Bartel, 2002; Buhler et al, 2008; Halic & Moazed, 2010). A key factor for RNAi‐mediated deposition of H3K9me2 is the RNA‐induced transcriptional silencing (RITS) complex. RITS is composed of Tas3, the CD containing protein Chp1, and the siRNA‐binding protein Ago1 (Verdel et al, 2004). Together with long chromatin‐associated transcripts, RITS acts as a hub for the assembly of machineries that amplify heterochromatic siRNAs, modify histones, and silence gene expression (Holoch & Moazed, 2015). Besides centromeres, constitutive heterochromatin is also found at telomeres and the silent mating type locus in S. pombe. However, in contrast to centromeric heterochromatin, the RNAi machinery is dispensable to the maintenance of the repressed state at these regions (Jia et al, 2004; Kanoh et al, 2005). Instead, the non‐canonical polyA‐polymerase Cid14 and Swi6 are essential to the elimination of heterochromatic RNA transcripts (Buhler et al, 2007; Keller et al, 2010). We have recently demonstrated that Swi6 efficiently captures heterochromatic RNAs, which thereby become translationally incompetent and are eventually degraded. Importantly, RNA binding to the hinge region of Swi6 competes with methylated H3K9 for binding to the CD, predicting that Swi6 dynamics in vivo might be influenced by RNA (Keller et al, 2012).
The requirement for transcription in heterochromatin assembly seems difficult to reconcile with the silencing of heterochromatic genes. One possible solution to this paradox is the need for a pioneering round of transcription to initiate heterochromatin assembly. It has been suggested that Swi6 dissociates from chromatin due to H3S10 phosphorylation during M and S phase, opening up a window of opportunity for the transcription of centromeric repeats. Once assembled, transcription would be silenced by heterochromatin throughout the remainder of the cell cycle (Kloc & Martienssen, 2008). Consistent with this, RNA polymerase II occupancy on centromeric repeats is highest in S phase and transcripts corresponding to centromeric repeat sequences accumulate (Chen et al, 2008; Kloc et al, 2008). Alternatively, transcription could also occur outside S phase, with the resulting RNA immediately degraded co‐transcriptionally (Buhler, 2009; Castel & Martienssen, 2013). However, such highly unstable RNA is difficult to demonstrate biochemically. Thus, although pericentromeric heterochromatin becomes more permissive to transcription in S phase (Chen et al, 2008), the actual transcriptional status of heterochromatin, particularly in the G2 phase of the S. pombe cell cycle when H3K9me2 levels are the highest, has remained elusive due to technical limitations.
Here, we demonstrate that Swi6 exists as a single dynamic population in constitutive heterochromatin when expressed from its endogenous locus, with little if any Swi6 molecules persistently bound to heterochromatin. Swi6 rapidly exchanges in cis and in trans between different heterochromatic regions and is not obligatory for the maintenance and spreading of H3K9 methylation. Instead, our results disclose an unexpected activity of Swi6 in demarcating constitutive heterochromatin from neighboring euchromatin. Our results support a model in which Swi6 dimer formation is important in counteracting the spread of H3K9 methylation, which is mediated by a mechanism that requires polymeric self‐association properties of the Tas3 subunit of the RITS complex.
Results
Transient association of Swi6 with constitutive heterochromatin
Schizosaccharomyces pombe encodes two HP1 proteins, Chp2 and Swi6. We have previously shown that RNA binds to Swi6, involving the hinge, CD, and the N‐terminus, which impedes binding of full‐length Swi6 to an immobilized peptide corresponding to residues 1–20 of a K9 trimethylated histone H3 tail (Keller et al, 2012). To study the impact of Swi6‐RNA interactions on Swi6 dynamics in vivo, we created an S. pombe strain in which the endogenous swi6+ gene was tagged C‐terminally with a codon‐optimized EGFP tag (Sheff & Thorn, 2004) by homologous recombination. Importantly, the Swi6 and EGFP moieties were separated by a GDGAGLIN linker sequence, rendering the Swi6‐EGFP fusion protein fully functional (Keller et al, 2013). Furthermore, Swi6‐EGFP and endogenous Swi6 were expressed at similar levels within the cell (Fig EV1A and B). Thus, in contrast to previous kinetic measurements performed with N‐terminally tagged and ectopically expressed, plasmid‐borne GFP‐Swi6 (Cheutin et al, 2004), our approach allowed us to assess heterochromatin dynamics under near physiological Swi6 expression conditions.
In fluorescence recovery after photobleaching (FRAP) experiments, a fluorescent region is irreversibly bleached by a short laser pulse and the recovery of the fluorescence signal measured over time (Carisey et al, 2011). We first performed FRAP on Swi6‐EGFP heterochromatic loci in exponentially growing cells and acquired single focal plane images every 60 milliseconds (ms) (Fig 1A and Movie EV1). The bleached regions comprised centromeres, telomeres, or the mating type locus. For proteins bound tightly to chromatin, recovery kinetics are expected to be slow or not detectable, as observed for the telomere‐binding protein Taz1 (Keller et al, 2012). The fluorescence signal for Swi6‐EGFP, however, recovered within 3 s with an average half‐recovery time (t 1/2) of 535 ms (Fig 1B and C). The recovery curve holding the average intensities of 31 FRAP experiments fits best to a one‐component model (y(x) = a(1 − exp(−bx))) with an R‐squared value of 0.9964 (Fig 1B). Addition of a second component did not significantly improve the fit (Fig EV1D and E). Importantly, FRAP performed with cells that express Swi6‐EGFP from a plasmid using the same conditions as Cheutin et al (0.4 μg/ml thiamine) resulted in a good fit to a two‐component model with t 1/2 values of the individual components in a physiological range (Fig EV1F–H). These results imply the presence of one major population of Swi6 that binds heterochromatin highly dynamically if expressed from the endogenous locus.
To further test whether Swi6 exists in a single population or as two high‐ and low‐mobility fractions (F M and F I, respectively), we investigated percentage recovery after photobleaching. F M is the proportion of bleached proteins replaced by unbleached proteins during the experiment. Thus, F M at a given locus can be determined by dividing fluorescence intensity at the end of the time lapse (F ∞) by fluorescence intensity before the bleaching event (F initial). If a second, static or low‐mobility population of Swi6 existed, F M should be less than 1. However, several experimental artifacts can bias estimation of this ratio and need to be taken into account for a precise determination of F M. First, and consistent with a previous report, we observed that heterochromatin domains are highly mobile in S. pombe (Cheutin et al, 2004) and give a fainter signal when moving out of the focal plane. This leads to an underestimation of the total recovery if acquisition is made only at single focal planes (Fig EV1I–L). Second, because 20–35% of total fluorescence in the nucleus is lost when bleaching a single locus, the remaining fluorescence available for recovery must be evaluated. We therefore acquired stacks of the whole nucleus before photobleaching and after recovery and calculated the loss of total fluorescence in the whole nucleus to correct the F M ratio (Fig 1D). This analysis revealed full recovery of the Swi6‐EGFP signal by 3–4 s after photobleaching (Fig 1E), suggesting that there is no static or slow recovering population of Swi6 within heterochromatin.
In summary, Swi6‐EGFP expressed from its endogenous locus manifests a single, highly dynamic population on heterochromatic domains with an average t 1/2 of 535 ms in exponentially growing cells. Although we cannot rule out the possibility that a small population of stably associated Swi6‐EGFP molecules remained undetected in our analyses, our results demonstrate that the vast majority of Swi6 rapidly exchanges on heterochromatin.
Swi6 exchanges between independent heterochromatic domains
Swi6‐EGFP is highly concentrated in two to six bright foci, with most of the cells containing three foci (Cheutin et al, 2004). The amount of Swi6‐EGFP outside these foci is marginal. Hence, full recovery of fluorescence after photobleaching in these foci can only be explained if Swi6‐EGFP exchanges between the different heterochromatin domains. Our experimental FRAP setup allowed us also to monitor fluorescence loss in photobleaching (FLIP) in the non‐bleached heterochromatic foci. Photobleaching of one heterochromatic focus caused a significant loss of fluorescence in the non‐bleached foci (Fig 1F), demonstrating that Swi6 does indeed rapidly exchange not only on heterochromatin in cis but also between heterochromatic domains in trans.
These results imply that Swi6 very rapidly transfers between heterochromatic domains via the nucleoplasm. Because our standard FRAP setup is limited to image acquisition rates of 1 per 60 ms, we switched to a high‐speed confocal line‐scan microscopy approach, allowing measurement of fluorescence intensities along a single line with a time resolution of ±2 ms (Fig 1G). The results revealed full fluorescence recovery in < 1 s, with an average t 1/2 of approximately 89 ms in non‐heterochromatic areas of the nucleus (Fig 1H). Even faster Swi6‐EGFP kinetics of approximately 49 ms were obtained by repeating the same experiments in cells lacking Clr4, the sole histone methyltransferase that methylates H3K9 in S. pombe. As expected, line‐scan FRAP in heterochromatic loci revealed slower Swi6‐EGFP kinetics than in the nucleoplasm or in clr4Δ cells (Fig 1H).
In summary, Swi6 is highly mobile throughout the nucleus, exchanging between different heterochromatic domains via the nucleoplasm. As expected for a heterochromatin‐binding protein, Swi6 dynamics are influenced by H3K9 methylation.
Swi6 in vivo dynamics are slowed down by heterochromatic RNA
We previously demonstrated that the kinetic off‐rate constant for dissociation of the Swi6‐H3K9me3 complex in vitro is in the range of 10–1,000/s, corresponding to a lifetime of 1–100 ms (Keller et al, 2012). These data are consistent with the t 1/2 values obtained in our FRAP experiments. Importantly, Swi6‐RNA and Swi6‐H3K9me3 interactions are mutually exclusive in vitro and we therefore predicted that RNA influences Swi6 dynamics. To test this hypothesis, we performed FRAP experiments with cells expressing either wild‐type Swi6 or Swi6 that does not bind RNA (NLS‐Swi6‐EGFP or NLS‐Swi6‐KR25A‐EGFP, respectively). The KR25A mutation in the hinge region of Swi6 does not affect H3K9 binding but abolishes RNA binding and nuclear import of Swi6. Therefore, fusion of an SV40 nuclear localization signal (NLS) to the N‐terminus of the Swi6‐KR25A is required (Keller et al, 2012). The NLS fused to the N‐terminus of Swi6 caused an increase in t 1/2 values from ±535 ms to ±790 ms (Fig EV2B). In contrast, t 1/2 values decreased from ±790 ms for NLS‐Swi6‐EGFP to ±270 ms for NLS‐Swi6‐KR25A‐EGFP (Figs 2A and B, and EV2A and B).
The observed faster recovery kinetics of the Swi6‐KR25A mutant strongly suggested that RNA binding to Swi6 slows its mobility. To rule out the possibility that the effect was due to the KR25A mutations per se rather than the inability to bind RNA, we monitored fluorescence recovery kinetics of wild‐type Swi6 in cid14Δ cells. Cid14 facilitates the removal and subsequent degradation of Swi6‐bound RNAs (Buhler et al, 2007; Keller et al, 2012). Consistent with elevated heterochromatic RNA levels upon deletion of cid14+, t 1/2 values for Swi6‐EGFP increased significantly in cid14Δ relative to cid14+ cells (Fig 2C and D). However, t 1/2 values for the NLS‐Swi6‐KR25A RNA‐binding mutant did not differ between cid14+ and cid14Δ cells (Fig 2E and F). These results demonstrate that Swi6‐RNA interactions slow Swi6 mobility in the nucleus and suggest that Cid14‐mediated release of heterochromatic RNAs from Swi6 is the rate‐limiting step in the Swi6 exchange cycle.
Swi6 dynamics are influenced by RNA throughout the cell cycle at centromeres and are similar at telomeres
The FRAP experiments described could not address the question of whether heterochromatin at centromeres or telomeres could differently influence Swi6 dynamics. Furthermore, Swi6 dynamics might differ in particular phases of the cell cycle. To specifically visualize and photobleach telomeric or centromeric heterochromatin, we generated strains expressing Taz1‐mCherry or Cnp1‐mCherry, respectively, in addition to Swi6‐EGFP (Fig 3A). FRAP experiments on Cnp1‐marked centromeric heterochromatin revealed average t 1/2 values for Swi6‐EGFP of approximately 520 ms, very similar to the values obtained from FRAP experiments that were not centromere specific (Figs 1B and 3D). Very similar fluorescence recovery kinetics for telomeric heterochromatin were recorded (Fig 3D) and, thus, both constitutive heterochromatin regions are equally accessible to incoming fluorescent Swi6 protein. Both regions also appear permissive to low‐level transcription. Consistent with RNA production, we observed significantly lower t 1/2 values for NLS‐Swi6‐KR25A‐EGFP than for NLS‐Swi6‐EGFP at both centromeres and telomeres (Fig 3B and C).
In asynchronous S. pombe cultures, most cells are in the G2 phase of the cell cycle. Biochemical experiments performed with unsynchronized populations of S. pombe thus mainly represent G2. In contrast, our live cell imaging approach allowed us to look at individual cells representing different cell cycle stages. To examine whether Swi6 dynamics change during the cell cycle, we performed FRAP on individual cells residing in G1, S, or G2. Values of t 1/2 for NLS‐Swi6‐EGFP ranged from 300‐ to 2,200 ms throughout the entire cell cycle (Fig 3E). This high variability of t 1/2 remained constant over the entire time course. The t 1/2 values for the RNA‐binding mutant NLS‐Swi6‐KR25A also remained the same throughout the entire cell cycle. However, the dynamic range of the t 1/2 values for NLS‐Swi6‐KR25A‐EGFP was much smaller than for NLS‐Swi6‐EGFP (Fig 3E). Interestingly, the average t 1/2 values for NLS‐Swi6‐EGFP in G2 and S cells were not significantly different but in G1 were significantly lower (Fig 3F). Moreover, Swi6 mobility was greater in the absence of RNA binding, including the cells residing in G2 (Fig 3E and G).
Together these results show that Swi6 dynamics in heterochromatin do not differ significantly at centromeres compared with telomeres and respond equally to RNA binding at these heterochromatin regions. Thus, similar to centromeric repeats, telomeric heterochromatin also appears permissive for RNA synthesis. Consistent with this, transcripts originating from the subtelomeric tlh1+ gene were clearly detected in wild‐type cells (Fig EV1C). Interestingly, Swi6 mobility is markedly influenced by RNA binding throughout the cell cycle, suggesting that heterochromatic RNA production is not restricted to G1/S. Yet, the high dynamic range and random distribution of t 1/2 values for wild‐type Swi6 indicate widely fluctuating and stochastic production of RNA within S. pombe heterochromatin.
Swi6 dimerization prevents spreading of centromeric H3K9 methylation
A characteristic, conserved feature of heterochromatin is that it spreads along chromatin from specific nucleation sites (Grewal & Moazed, 2003). Current models for heterochromatin spreading in S. pombe assign Swi6 a central role. It is generally assumed that it acts via a stepwise higher‐order oligomerization process and recruitment of histone‐modifying activities (Canzio et al, 2014). Therefore, our observation that Swi6 exists as one single dynamic population in heterochromatin is surprising, as a slowly exchanging fraction of Swi6 would be expected upon formation of an oligomeric network. We reasoned that such stably bound Swi6 molecules are at very low abundance and remained undetected in our FRAP experiments.
If a minor subpopulation of Swi6 that promotes spreading by oligomerization existed, defects in the spreading of H3K9 methylation in the absence of Swi6 would be expected. To test this hypothesis, we performed ChIP sequencing (ChIP‐seq) with swi6+ and swi6Δ cells and an antibody specifically recognizing H3K9me2. Consistent with the above hypothesis, we observed partially disrupted H3K9me2 in subtelomeric regions (Fig EV3A), as well as partial loss of H3K9me2 at the silent mating type locus, as previously reported (Hall et al, 2002) (Fig EV3B). However, in contrast to chp2Δ cells (Fig EV4B), levels of H3K9me2 were not reduced at any of the pericentromeric repeat regions in cells lacking Swi6 (Figs 4A and EV3E and F). This is consistent with a previous report of no significant reduction in H3K9me2 levels at specific centromeric sites in swi6∆ cells as measured by regular ChIP–PCR (Sadaie et al, 2004). However, we observed unexpected spreading of H3K9me2 beyond normal boundaries of heterochromatin in the absence of Swi6, most pronounced at the inverted repeat element IRC1R boundary region of centromere 1 (Fig 4A) and in the subtelomeric region of the right arm of chromosome 1 (Fig 4B). Similarly, we observed increased H3K9 methylation levels on the subtelomeric tlh1+ and tlh2+ genes in swi6∆ cells (Fig EV3A and D).
Thus, Swi6 is not obligatory for spreading of centromeric heterochromatin but is required for the demarcation of heterochromatin at the IRC1 boundaries of centromere 1. This is highly unexpected and raises the question of whether we are seeing an indirect consequence of the complete loss of Swi6 or whether Swi6 acts per se in blocking the propagation of H3K9 methylation. Therefore, we assessed by ChIP–PCR H3K9 methylation at the IRC1R boundary in cells that express Swi6 bearing single point mutations in either the CSD (swi6L315E), which abolish dimerization of Swi6 (Cowieson et al, 2000; Canzio et al, 2011), or the CD (swi6W104A), which abolish H3K9me2 binding (Jacobs & Khorasanizadeh, 2002; Canzio et al, 2013). Consistent with our ChIP‐seq results, H3K9me2 in the centromeric repeat region (dh/dg) was not significantly different in wild‐type and swi6∆ cells but was markedly increased on the neighboring emc5+ and rad50+ genes (Fig 5B and C). Likewise, H3K9me2 spread beyond the IRC1R boundary in both swi6L315E and swi6W104A cells (Fig 5A–D). Hence, Swi6 dimerization and H3K9me2 binding are both critical for limiting the spreading of H3K9 methylation.
The results so far indicate that Swi6 is directly involved in counteracting spreading of H3K9 methylation. Importantly, the anti‐silencing factor Epe1 has been reported also to limit the spreading of H3K9 methylation (Ayoub et al, 2003; Zofall & Grewal, 2006; Trewick et al, 2007). Thus, as Epe1 recruitment to heterochromatin depends on Swi6, spreading of H3K9 methylation in the absence of Swi6, or Swi6 binding to H3K9me2, could be explained by failure to recruit Epe1 (Zofall & Grewal, 2006). To test this hypothesis directly, we measured H3K9me2 levels in wild‐type, epe1∆, and swi6∆ cells. The levels of H3K9me2 in epe1∆ were slightly higher than in wild‐type cells but not statistically significant and never as high as H3K9me2 in swi6∆ cells (Fig 5E). Therefore, spreading of H3K9 methylation in the absence of Swi6 cannot be explained solely by impaired Epe1 recruitment.
In conclusion, our results reveal that Swi6 dimerization is crucial for the prevention of H3K9 methylation spreading beyond the IRC1R boundary region of centromere 1. Although we cannot rule out Swi6‐mediated recruitment of further anti‐silencing factors that may act redundantly with Epe1, we favor a model in which heterochromatin spreading is counteracted by a previously described distinct conformational state of Swi6 dimers (see Discussion).
Tas3 self‐association is required for H3K9 methylation in the absence of Swi6
Besides that of the precise contribution of Swi6 to the restriction of H3K9me2 to its natural boundaries, the question arises as to what mechanism propagates H3K9me2 beyond the IRC1R boundary in the absence of Swi6. To test the possible involvement of the RNAi pathway, which is essential for the assembly and maintenance of centromeric heterochromatin, we profiled small interfering RNAs (siRNAs) in wild‐type and swi6Δ cells by deep sequencing. Instead of finding additional siRNAs mapping to the heterochromatin flanking regions, we observed slightly reduced levels of canonical centromeric siRNAs and loss of border RNAs (brdrRNAs) (Keller et al, 2013) that map to the IRC1R boundary (Fig 6A).
The absence of siRNAs mapping to the region that becomes H3K9 methylated in swi6Δ cells argues against the deposition of H3K9me2 through the canonical RNAi‐mediated heterochromatin assembly pathway (Holoch & Moazed, 2015). However, the RNA‐induced transcriptional silencing (RITS) complex was shown previously to spread from siRNA‐producing centromeric heterochromatin nucleation sites to regions with few or no siRNAs (Li et al, 2009). Therefore, we hypothesized that spreading of H3K9me2 in the absence of Swi6 is caused by spreading of the RITS complex independently of siRNAs. RITS spreading in cis depends on a C‐terminal Tas3 α‐helical motif (TAM) that can undergo polymeric self‐association in vitro (Li et al, 2009). Because Tas3–Tas3 interactions mediated by TAM have been proposed to be especially important for RITS spreading into regions with few or no siRNAs, we speculated that Tas3‐TAM plays a critical role in H3K9me2 spreading from centromeric repeats into the region flanking the IRC1R boundary in the absence of Swi6. To test this, we introduced a single amino acid substitution (L479E, Fig 6B) that abrogates Tas3–TAM polymerization (Li et al, 2009) in swi6+ and swi6Δ cells and assessed H3K9me2 levels by ChIP (Fig 6C). H3K9me2 levels were mildly affected in tas3‐L479E cells but completely eradicated in tas3‐L479E swi6∆ double‐mutant cells (Fig 6D). Thus, upon removal of Swi6, Tas3 self‐association becomes absolutely essential to the maintenance of H3K9 methylation within centromeric repeat sequences. This strongly suggests that centromeric H3K9me2 spreading in swi6∆ cells is mediated by self‐association of Tas3. The importance of Tas3 self‐association to the maintenance of H3K9 methylation at other heterochromatin regions awaits further investigations.
Discussion
In this study, we have reanalyzed the dynamics of the S. pombe HP1 protein Swi6 in living cells and investigated its contribution to the maintenance and spreading of heterochromatin. We found that Swi6 rapidly exchanges in cis and in trans between different heterochromatic regions and that Swi6 mobility is decelerated by methylated histone H3K9 and RNA. Although we show that Swi6 could in principle exist in at least three kinetically distinct populations (Fig 7), we found that most if not all Swi6 molecules exchange between the RNA and heterochromatin‐bound form under physiological conditions. Our results are consistent with a stochastic model of heterochromatin (Cheutin et al, 2004) and suggest that (i) heterochromatin in S. pombe is permissive for transcription throughout the cell cycle, (ii) only very few Swi6 molecules are engaged in heterochromatin spreading by oligomerization at telomeres, and (iii) Swi6 is dispensable to the expansion of centromeric heterochromatin. Rather, it appears to be involved in the demarcation of centromeric heterochromatin from neighboring euchromatin by a mechanism that remains to be fully elucidated. We discuss below the implications of these findings for the mechanisms of heterochromatin formation and repression in fission yeast.
The role of Swi6 in maintenance and spreading of heterochromatin
Iterative HP1 binding to methylated H3K9 and recruitment of HMTase activity is the prevalent model for heterochromatin spreading (Eissenberg & Elgin, 2014). The involvement of Swi6 in heterochromatin spreading is strongly supported by in vivo experiments using Swi6 overexpression to force the expansion of heterochromatin (Noma et al, 2006; Wang et al, 2013). In vitro data on Swi6‐nucleosome interactions further imply a direct role of Swi6 in spreading along the chromatin fiber through a process of stepwise higher‐order oligomerization (Canzio et al, 2011, 2013). The Swi6 dynamics determined in this study imply that such oligomeric networks, if indeed they exist in vivo under natural conditions, are not inert but rather exist as a steady‐state equilibrium of association and dissociation of Swi6 molecules with nucleosomes and themselves. We postulate that only very few if any Swi6 molecules remain stably bound to chromatin under physiological conditions; the majority are in a dynamic equilibrium. Only Swi6 overexpression results in stable association with chromatin and may enhance heterochromatin spreading. This may explain why strains with additional copies of the swi6+ gene were employed in previous investigations of heterochromatin boundaries (Noma et al, 2001, 2006; Wang et al, 2013; Verrier et al, 2015).
Our ChIP‐seq results suggest that Swi6‐mediated spreading contributes partially to the propagation and spreading of the H3K9me2 mark at some telomeric regions of S. pombe chromosomes under physiological conditions. In contrast, Swi6 is fully dispensable to the maintenance of H3K9me2 at centromeres. However, we found that Swi6 is required for the restriction of H3K9me2 to the pericentromeric repeat region and the prevention of spreading into neighboring euchromatin. This unanticipated finding highlights the functional promiscuity of HP1 proteins and raises the question of how Swi6 participates in counteracting heterochromatin spreading. Our results show that it cannot simply be recruitment of the anti‐silencing factor Epe1, because H3K9 methylation in epe1Δ cells does not phenocopy the spreading we observed in swi6∆ cells (Fig 5E). This is further supported by a recent study demonstrating that H3K9me2 levels around the IRC1 boundary regions of centromere 1 in epe1Δ cells are similar to those of wild‐type cells, unless Swi6 is overexpressed (Wang et al, 2013). Furthermore, Epe1 binding at the IRC1 boundary element was reported in Swi6‐defective cells (Zofall & Grewal, 2006). Thus, the spreading we observed in swi6Δ cells cannot be explained by a failure to recruit Epe1 to the boundary. Therefore, further properties of Swi6 are likely to contribute to boundary formation. Intriguingly, Swi6 dimers that form through CSD interactions have recently been demonstrated to exist in closed and open states in vitro. The closed state is mediated by interaction between the two CDs of a Swi6 dimer and inhibits binding of the H3K9me2 mark. Furthermore, this conformation cannot participate in the Swi6 oligomerization process and could therefore stop spreading of heterochromatin (Canzio et al, 2013). Supporting such a model, we found that dimerization is crucial to Swi6 activity in boundary protection (Fig 5C). It is possible that proteins bound at heterochromatin–euchromatin transitions can induce and stabilize the closed state of Swi6 dimers and thereby stop encroachment of heterochromatin into neighboring regions. Similarly, RNA could also drive Swi6 into the closed state. Consistent with this model is our previous observation that heterochromatin spreads into neighboring euchromatin if Swi6 fails to bind RNA (Keller et al, 2013). Thus, in addition to evicting spreading‐competent Swi6 from the chromatin template, as we have previously suggested, ncRNAs may also switch Swi6 into the closed Swi6 conformation that stops the spreading of heterochromatin. This is an attractive hypothesis that demands further study.
We propose a model in which RNAi‐ and Swi6‐dependent mechanisms act redundantly within centromeric repeats and maintain heterochromatin under physiological conditions (Fig 7A). Redundancy between the two mechanisms is supported by a previous study, which showed that Swi6 maintains some H3K9 methylation at centromeric repeats in the absence of RNAi (Sadaie et al, 2004). Similarly, we observed only slightly reduced H3K9me2 levels in tas3L479E and swi6Δ cells, but complete loss of H3K9me2 in tas3L479E swi6Δ double‐mutant cells (Fig 6D). We envision that spreading‐incompetent (closed) Swi6 dimers is an important factor in counteracting the spread of heterochromatin into the repeat proximal regions, which can be mediated either by the open conformation of Swi6 dimers or by RNAi‐mediated H3K9me2 deposition. In the absence of Swi6, additional H3K9me2‐binding sites are available for the Chp1 subunit of the RITS complex, which stabilizes the RNAi machinery on chromatin and thereby promotes the methylation of neighboring nucleosomes (Fig 7B). Importantly, our results highlight the importance of Tas3 self‐association for such spreading of H3K9me2 and that this may occur independently of siRNAs (Fig 6).
The role of Swi6 in silencing of heterochromatin
Whereas Swi6 is dispensable to the maintenance of H3K9me2 at centromeric repeats, it is required for full repression. Previous quantitative RT–PCR analyses have demonstrated that Swi6 contributes roughly 14% and 32% to the silencing of centromeric dg and dh sequences, respectively. At telomeres of S. pombe chromosomes, Swi6 was shown to be required for the majority of silencing at the subtelomeric tlh1+ gene (Motamedi et al, 2008). These findings are in agreement with our high‐resolution gene expression data and demonstrate that complete repression of heterochromatin cannot be achieved without Swi6 (Figs 4C and EV5) (Woolcock et al, 2012).
We previously postulated a model for the silencing of heterochromatin in which Swi6 serves a general function linking transcription to downstream RNA degradation, rather than reducing transcription per se. Importantly, we have demonstrated that Swi6 complexed with RNA dissociates from H3K9‐methylated nucleosomes and escorts its associated RNAs to the RNA‐decay machinery, thereby contributing to tight repression of heterochromatin at a co‐ or posttranscriptional level (Keller et al, 2012). Our current study extends these findings and reveals that RNA binding to Swi6 decelerates the mobility of Swi6 on heterochromatin about three fold, suggesting that release of heterochromatic RNAs from Swi6 is the rate‐limiting step in the Swi6 exchange cycle (Fig 7A and C).
In conclusion, rather than promoting the maintenance and spreading of heterochromatin, ensuring tight repression of heterochromatin seems to be the prevailing activity of Swi6. Our results are consistent with a model for heterochromatin silencing in which Swi6 assures coupling between heterochromatin transcription and RNA degradation by acting as an H3K9me2‐specific checkpoint. Molecular details of RNA decay downstream of Swi6 remain elusive, and future investigations focused on RNA decay are thus required in order to achieve a better mechanistic understanding of heterochromatin silencing.
Materials and Methods
Strains and plasmids
Fission yeast strains and plasmids used in this study are described in Appendix Tables S1 and S2.
Western blot and antibodies
Total proteins from exponentially growing cells were extracted using TCA and separated on a NuPAGE 4–12% Bis–Tris gel (Invitrogen). Antibodies for Western blotting were used at the following concentrations: Swi6 (in‐house generated; 1:20,000), tubulin ((Woods et al, 1989), 1:3,000). The Swi6 mouse monoclonal antibody was raised against full‐length recombinant Swi6 and affinity‐purified with Protein G.
Fluorescence recovery after photobleaching (FRAP)
Imaging was performed with an Olympus IX81 microscope equipped with a Yokogawa CSU‐X1 spinning disk, a PlanApo 100×/1.45 TIRFM oil objective, two back‐illuminated EM‐CCD EvolveDelta cameras (Photometrics, AZ), 491‐nm and 561‐nm laser lines (Cobolt, Sweden), a Semrock Di01‐T488/568 dichroic, and Semrock FF01‐525/40‐25 and FF01‐440/521/607/700‐25 emission filters. All devices were piloted with the software Visiview (Visitron GmbH, Puchheim, Germany). For FRAP experiments, a VisiFRAP module (Visitron), a 473‐nm laser line and a chroma Z405/473rpc‐xt dichroic were installed on the setup. The bleach region was a diffraction‐limited spot, and the bleach time was 20 ms.
For each FRAP experiment, a time series of 120 images of a fixed confocal plane was acquired every 60 ms, while the bleach pulse was aimed and triggered manually by mouse click. Additionally, in order to calculate the recovery percentage of the bleached foci, a stack was taken before and after the time series acquisition. All images were acquired at 30°C. Cells were grown in YES medium to exponential phase and imaged on a slide harboring an agarose patch containing YES medium with 3% glucose.
FRAP during the cell cycle
Exponentially growing cells were synchronized in G1/S phase by a 4‐h treatment with 15 mM hydroxyurea and released into the cell cycle after a wash with YES medium. The cells were imaged in a Ludin Chamber with a lectin‐coated glass slide (BS‐I; Sigma). FRAP experiments were performed for approximately 3 h after release, each time‐point representing the recovery curve of a locus from a different cell. All images were acquired at 30°C. M phase was not included in the FRAP analysis as Swi6 becomes dispersed (Ekwall et al, 1995; Pidoux et al, 2000; Li et al, 2013).
Line‐scan FRAP
Imaging was performed on an AXIO OBSERVER Z1 equipped with an LSM 710 scanning head, a multiline Argon 458/488/514 nm (25 mW) laser and a Plan‐Apochromat 63×/1.40 Oil DIC M27 objective. The devices were piloted with ZEN Black 2010 software.
Analysis of FRAP data
The acquired images were analyzed using custom script in the open‐source software Fiji (Schindelin et al, 2012). For each FRAP time series, we manually assigned the bleached region as a region of interest (ROI) and calculated the mean intensity of the ROI. We subtracted the obtained minimal intensity from these mean intensities. To calculate the recovery half‐times (t 1/2), we performed an exponential one‐component curve fit based on the formula y(x) = a(1 − exp(−bx)). The boxplots of the t 1/2 values were made in RStudio.
Curve fitting of mean recovery curves
To obtain mean recovery curves of the different conditions, we normalized each individual series of intensities to the mean of its last 15 time‐points post‐recovery. Of these normalized intensity series, aligned to the bleaching time‐point, the means were calculated and loaded into the curve fitting toolbox of Matlab (MATLAB and Curve Fitting Toolbox Release 2013b; The MathWorks, Inc., Natick, USA). The one‐component fits were based on the formula y(x) = a(1 − exp(−bx)), while the two‐component fits were based on y(x) = a(1 − exp(−bx)) + c(1 − exp(−dx)).
Chromatin immunoprecipitation (ChIP)
H3K9me2 ChIP experiments were performed with an H3K9me2‐specific mouse monoclonal antibody from Wako (clone no. MABI0307; 302‐32369). Anti‐H3K9me antibody was used at 1 μg per mg of whole‐cell extract (WCE). Cells were processed for ChIP analysis as previously described (Keller et al, 2013).
ChIP sequencing (ChIP‐seq)
ChIP‐seq libraries were generated with an Illumina‐based protocol with custom reagents and bar‐coded adapters as previously described (Keller et al, 2013). Libraries were sequenced on the Illumina HiSeq2000 system according to the manufacturer's protocols.
sRNA sequencing
RNA for sRNA sequencing was prepared as previously described (Keller et al, 2013). Libraries were prepared with the Illumina TruSeq sRNA preparation protocol (Cat. no. RS‐930‐1012). The 145‐ to 160‐nt population was isolated and the library sequenced on an Illumina HiSeq2000. sRNA reads were aligned as described previously (Emmerth et al, 2010) with zero mismatch allowed.
Accession codes
The deep sequencing data are deposited under the accession code GSE70946 (NCBI Gene Expression Omnibus), which include the ChIP‐seq data of the swi6∆ samples under the accession number GSE61136 and the small‐RNA sequencing data of swi6+ and swi6∆ samples under GSE70945. The ChIP‐seq data of wild type were previously published and can be found under accession code GSE42850.
Author contributions
RS designed and carried out most of the experiments. RK‐S performed ChIP, generated libraries for next‐generation sequencing, and analyzed ChIP‐seq. CK prepared RNA for sRNA deep sequencing. MAK and LG assisted with data analysis and establishment of the methods. MB obtained funding, designed experiments, and oversaw the study. MB and RS wrote the manuscript.
Conflict of interest
The authors declare that they have no conflict of interest.
Supporting information
Acknowledgements
We would like to thank Yukiko Shimada for excellent technical assistance, Katarzyna Kowalik for bioinformatics advice, Jeffrey Chao and Susan Gasser for constructive advice, Alex Tuck and Pat King for critical reading and editing of the manuscript, and Daniele Oberti and other laboratory members for fruitful discussions. We are grateful to T. Roloff, S. Dessus‐Babus, D. Gaidatzis, and H.‐R. Hotz for help with Illumina deep sequencing and advice on data analysis. We thank Danesh Moazed and Hisao Musakata for providing S. pombe strains. This work was supported by funds from the Swiss National Science Foundation (PP00P3_139204/1). R.K.‐S. was supported by a postdoctoral fellowship from the Peter and Traudl Engelhorn Foundation. The Friedrich Miescher Institute for Biomedical Research is supported by the Novartis Research Foundation.
The EMBO Journal (2015) 34: 2789–2803
[The copyright line of this article was changed on 8 December 2015 after original online publication.]
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