Abstract
Genome stability requires one, and only one, DNA duplication at each S phase. The mechanisms preventing origin firing on newly replicated DNA are well documented1, but much less is known about the mechanisms controlling the spacing of initiation events2,3, namely the completion of DNA replication. Here we show that origin use in Chinese hamster cells depends on both the movement of the replication forks and the organization of chromatin loops. We found that slowing the replication speed triggers the recruitment of latent origins within minutes, allowing the completion of S phase in a timely fashion. When slowly replicating cells are shifted to conditions of fast fork progression, although the decrease in the overall number of active origins occurs within 2 h, the cells still have to go through a complete cell cycle before the efficiency specific to each origin is restored. We observed a strict correlation between replication speed during a given S phase and the size of chromatin loops in the next G1 phase. Furthermore, we found that origins located at or near sites of anchorage of chromatin loops in G1 are activated preferentially in the following S phase. These data suggest a mechanism of origin programming in which replication speed determines the spacing of anchorage regions of chromatin loops, that, in turn, controls the choice of initiation sites.
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Main
We previously used DNA combing to analyse the replication dynamics along the AMPD2 (adenosine monophosphate deaminase 2) region3 in Chinese hamster fibroblasts highly amplified for this locus (Supplementary Fig. 2). Mutant lines were selected for their resistance to coformycin, an inhibitor of AMPD2, which depletes cells of guanine derivatives4. In mutant line 471, replication forks proceed at about 1.3 kilobases (kb) min-1 (referred to below as ‘fast’). The density of initiation events is low, and about 80% of the events observed within the locus take place at oriGNAI3, a previously characterized replication origin5,6,7, the remaining events being scattered between five other discrete origins. In contrast, forks travel at about 0.6 kb min-1 in line 474 (referred to below as ‘slow’). Initiation events occur at high density and seem evenly distributed between the five origins and oriGNAI3 (ref. 3). Because the selection of mutant lines relied on unbalanced nucleotide pools, we reasoned that abnormal pools of DNA precursors might persist in cells of line 474 (‘474 cells’). Indeed, the simple addition of adenine and uridine to the culture medium (referred to below as A + U) was sufficient to convert the replication pattern of those slow cells to that observed in fast cells3 (Fig. 1a). Conversely, hydroxyurea-induced nucleotide starvation slows fork speed in cells of line 471 (‘471 cells’) and results in the redistribution of initiation between all six origins of the locus. Altogether, these results reveal a highly controlled switch in origin usage when cells face variations in growth conditions2,3, offering a model with which to address the question of how and when origin choice is established.
We first determined whether the initiation pattern is controlled by nucleotide pools or by fork movement. Fast 471 cells were treated with aphidicolin (75 ng ml-1), a DNA polymerase inhibitor that does not interfere with the pools. Analysis of combed DNA molecules from cells labelled with iododeoxyuridine (IdU) then with chlorodeoxyuridine (CldU) showed that replication speed decreased to about 0.4 kb min-1 but cell cycle progression remained roughly normal under these conditions (Supplementary Fig. 3). The distribution of initiation events along the AMPD2 locus was studied by combining fluorescence in situ hybridization (FISH) with detection of IdU and CldU on newly synthesized DNA3. We observed a strong decrease in oriGNAI3 prominence 2 h after the addition of aphidicolin, and initiation events seemed evenly distributed between the different origins after 6 h. Loci showing more than one initiation event increased correspondingly (Fig. 1b). Note that oriGNAI3 still fired, at least on half the molecules that we observed (Supplementary Fig. 4a); loss of its prominence therefore results partly from an increased efficiency of the other origins.
We also performed a global analysis of the replication dynamics in 471 cells that were labelled with IdU in normal medium (fast) and then with CldU with or without aphidicolin. Comparison of the lengths of the IdU and CldU tracks showed that fork speed decreased almost instantaneously on the addition of aphidicolin (Supplementary Fig. 4b). The distribution of initiation events occurring during each labelling period was studied by focusing on 200-kb DNA regions (Fig. 1c). As expected, the same frequency of initiation was observed during the first pulse whether or not the cells were treated with aphidicolin during the second pulse (Fig. 1c, i). In cells not challenged by aphidicolin, initiation during the CldU-labelling period was observed with one-tenth the frequency on regions already labelled by IdU than on regions free of IdU signal (Fig. 1c, compare ii with iii). This confirms that the density of initiation events is low when replication forks travel fast. By contrast, in cells treated with aphidicolin, the probability of firing during the second pulse was similar on both types of region (Fig. 1c, compare ii with iii), confirming that the density of initiation events is high when forks travel slowly.
Taken together, our results show that fork speed itself, rather than the nucleotide pools, controls the pattern of initiation. They further show that, within 30 min, the cells start to compensate for the decrease in fork speed by mobilizing latent origins, which are thus able to change their fate within S-phase. Because licensing is prevented after the onset of S phase8, we conclude that the pre-initiation complex is present on these latent origins.
We then studied the reciprocal situation, namely the specific silencing of some origins when 474 cells are shifted from slow to fast conditions. A global analysis of the replication dynamics showed that fork speed reached the maximum value (about 1.8 kb min-1) 15 min after A + U addition (Supplementary Fig. 5a). To assess the distribution of initiation events, we focused our analysis on long DNA molecules (Fig. 1a). After only 2 h in A + U, the density of initiation events decreased by 30% and remained stable at later time points (Supplementary Fig. 5b). At each time point, initiation events seemed confined to a restricted region along any individual molecule that we observed (Fig. 1a). This is consistent with previous work in yeast and mammalian cells showing that origins are functionally organized as clusters9,10,11. Strikingly, the total length of the labelled regions relative to that of the DNA molecules was constant (Supplementary Fig. 5b). Hence, modulation of the density of initiation according to replication speed occurs mostly at the level of individual clusters, a finding consistent with the results obtained in aphidicolin-treated 471 cells (Fig. 1c).
We also determined how the replication pattern evolved along the AMPD2 locus after shifting 474 cells to A + U medium (Supplementary Fig. 6). We found that the proportion of loci displaying close initiation events (separated by less than 90 kb) decreased from 80% to about 50% within 6 h. However, it took about 16 h before oriGNAI3 prominence was established, roughly coinciding with the doubling time of these cells. Because we observed cells in only a narrow window of S phase (the locus replication time), this correlation suggested that the cells have to go through a complete cell cycle in fast medium to reprogram the relative efficiency of the origins. We tested this hypothesis by selecting mitotic 474 cells (slow) and then replating them in fast conditions. We specifically analysed cells at the first and second S phases after replating (Fig. 2). In both cases, closely spaced initiation events were observed on about 50% of the molecules displaying several events, as in unsynchronized fast 474 cells. The initiation events remained evenly distributed between all the origins of the locus during the first S phase, and oriGNAI3 became prominent at the second S phase.
We conclude that remodelling of the initiation pattern by an increased speed occurs in two steps. First, some origins are randomly silenced, probably because they are passively replicated by forks emanating from origins activated earlier. Next, if conditions of high replication speed are maintained, an additional mechanism commits some origins, such as oriGNAI3, to fire preferentially during the following S phase. This origin hierarchy remains stable in the absence of further speed variations3.
Replicon size, which is dictated by the spacing of active origins, has long been correlated with the length of chromatin loops12. We therefore studied the size of the loops surrounding the nuclear matrix (Supplementary Fig. 7) and found that they were periodically remodelled during the cell cycle. Furthermore, in G1 nuclei, their mean size increased twofold in fast 474 cells in comparison with slow ones. To some extent, the correlation held in S and G2 phases, even though the difference was less striking. The study of fast and aphidicolin-treated 471 cells confirmed these observations (Supplementary Fig. 8), establishing a correlation between fork speed and loop size. The existence of the nuclear matrix remains controversial13. However, a functional relationship between replication and attachment to an operationally defined matrix is now well documented14. For example, in Chinese hamster ovary (CHO) cells, a matrix attachment region (MAR) is required for the maintenance of plasmids not integrated in the chromosomes15. Moreover, all the origins of the AMPD2 locus co-localize with MARs16, similarly to many origins characterized in vertebrates17. Here we further show that, depending on the growth conditions, halos with different and specific sizes could be obtained from the same cells, salt-extracted and further treated in parallel.
We then determined whether the spatial distribution in the halos of oriGNAI3, oriA, oriB and a non-origin sequence depended on the replication dynamics (Fig. 3a). In small halos seen with G1 nuclei of slow 474 cells, all four sequences were similarly distributed between the matrix and the loops. In large halos obtained with G1 nuclei of fast 474 cells, whereas oriB, oriA and the non-origin sequence still seemed distributed, oriGNAI3 localized preferentially at the matrix. In G2 nuclei of these cells, oriGNAI3, like oriB, was randomly distributed in the halos (Fig. 3a). The very same distribution of oriGNAI3 was observed in fast 471 cells (Supplementary Fig. 8a). This origin therefore strikingly relocalizes from the matrix to the loops between G1 and G2 and from the loops to the matrix during mitosis or early G1 in cells grown in fast conditions. By studying cells sorted by fluorescence-activated cell sorting (FACS), we found that oriGNAI3 relocalized from the matrix to the loops during S phase (Fig. 3a and Supplementary Fig. 7e). This agrees with previous studies showing that newly synthesized DNA moves away from the base of the loops in mammalian cells18 and that origins are pulled out of the replisome on fork progression in yeast cells19. We then determined when oriGNAI3 relocalized from the loops to the matrix by performing a time-course analysis of oriGNAI3 and oriB in fast 474 cells released from a mitotic block (Fig. 3b). OriGNAI3 was reattached to the matrix as early as 1 h after release, suggesting that the switch occurs in mitosis. This interpretation is supported by previous data showing that origins can be reset in mitotic Xenopus egg extracts in a topo-II-dependent manner20,21 and that resetting correlates with significant remodelling of chromatin loops21. In addition, specific movements of DNA sequences during mitosis were observed in vivo in CHO cells22. Our data do not account directly for the observation that initiation sites are determined in G1, at a step called the origin decision point23,24. However, the attachment of origins to the matrix may be a prerequisite for the further selection of initiation sites.
To determine whether the pattern of initiation during the previous S phase sets loop size and origin localization in G1, we studied the fate of mitotic 474 cells (slow) that had been replated in either slow or fast conditions (Fig. 3c). At the first G1 phase after the shift to fast conditions, loop size and both oriGNAI3 and oriB localization remained the same as in slow cells. In contrast, at the second G1 phase, loop size increased and oriGNAI3 localized preferentially to the matrix. The study of the reciprocal situation, namely the fate of mitotic 471 cells (fast) replated in the presence of aphidicolin, confirmed that halos seemed remodelled only at the second G1 phase after the shift (Supplementary Fig. 8b). We conclude that the structural organization of the loops in G1 depends on the replication pattern in the previous S phase, and that the association of each origin with the matrix probably determines its probability of firing.
To account for the observation that the size of the loops in G1 depends on the replication dynamics during the previous S phase, we propose that replication marks, whose spacing depends on the density of initiation events, are present on the DNA until mitosis. We infer that such marks could be termination regions. Under fast conditions, large replicons would lead to distant marks that, in turn, organize large loops favouring the anchorage of origins with the highest affinity for the matrix. In slow conditions, the close DNA marks would give rise to small loops that offer all potential origins an opportunity to bind to the matrix. Finally, we postulate specifically that attached origins fire earlier than unattached ones, thereby establishing the flexible origin use observed in our experiments (Supplementary Fig. 1).
Methods Summary
Preparation of halos, and FISH
Halos were prepared as described12,21, with the following changes: nuclei were isolated by incubating cells in ice-cold NP40 buffer (0.5% Nonidet P40, 10 mM MgCl2, 0.5 mM CaCl2, 25 mM Tris-HCl pH 8.0) for 5 min. Nuclei were washed in ice-cold PBS, stained with 4,6-diamidino-2-phenylindole (DAPI; 2 μg ml-1) and sorted with a FACSVantage (Becton Dickinson) according to their DNA content. Sorted nuclei were spread on SuperFrost slides by Cytospin centrifugation before salt extractions as described21. Halos were then fixed for 10 min with 2% formaldehyde. FISH experiments were performed as described25. Maximum fluorescence halo radius was measured with Fluovision software (Imstar). Quantification of FISH signals was performed with ImageQuant v. 5.0 software (FujiFilm).
Cell synchronization procedure
Mitotic selection was performed as described26, after treatment of the cells for 3 h with nocodazole (200 nM). The quality of the mitotic cell preparations was verified by FACS analysis of MPM2-positive (mitotic protein monoclonal 2) cells. The cells were replated in fresh medium and then recovered after 5 h for the first G1 phase, after 12 h for the first S phase and after 29 h for the second S phase. To obtain cells in the second G1 phase, because of a partial desynchronization, the cells were recovered after 25 h and sorted by FACS with a FACSVantage according to their DNA content.
DNA combing
Combing was performed as described in ref. 3.
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Acknowledgements
We thank E. Blackburn, R. Rothstein and F. Toledo for discussions and critical reading of the manuscript, and Genomic Vision for making available the DNA combing technology. S.C. is supported by a grant from the ARC (Association pour la Recherche sur le Cancer), and S.G. and N.A. are supported by a grant from the Ministère de la Recherche. The M.D. team is supported by La Ligue Nationale contre le Cancer and the Agence Nationale de la Recherche (ANR).
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This file contains Supplementary Figures 1-8 with Legends. The Supplementary Figure 1 includes a model for the control of origin usage in mammalian somatic cells. (PDF 6942 kb)
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Courbet, S., Gay, S., Arnoult, N. et al. Replication fork movement sets chromatin loop size and origin choice in mammalian cells. Nature 455, 557–560 (2008). https://doi.org/10.1038/nature07233
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DOI: https://doi.org/10.1038/nature07233
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