In this study, Liu et al. describe the structural interactions between the C terminus of Rec114 and N terminus of Mei4 within the evolutionarily conserved, heterotrimeric DNA double-strand break complex during meiotic recombination. They further show that the minimal Rec114–Mei4 complex can bind coaligned duplex DNA to facilitate nucleoprotein nucleation and condensate formation.
Keywords: DNA double-strand breaks, homologous recombination, meiosis, optical tweezers
Abstract
The DNA double-strand breaks (DSBs) that initiate meiotic recombination are formed by an evolutionarily conserved suite of factors that includes Rec114 and Mei4 (RM), which regulate DSB formation both spatially and temporally. In vivo, these proteins form large immunostaining foci that are integrated with higher-order chromosome structures. In vitro, they form a 2:1 heterotrimeric complex that binds cooperatively to DNA to form large, dynamic condensates. However, understanding of the atomic structures and dynamic DNA binding properties of RM complexes is lacking. Here, we report a structural model of a heterotrimeric complex of the C terminus of Rec114 with the N terminus of Mei4, supported by nuclear magnetic resonance experiments. This minimal complex, which lacks the predicted intrinsically disordered region of Rec114, is sufficient to bind DNA and form condensates. Single-molecule experiments reveal that the minimal complex can bridge two or more DNA duplexes and can generate force to condense DNA through long-range interactions. AlphaFold2 predicts similar structural models for RM orthologs across diverse taxa despite their low degree of sequence similarity. These findings provide insight into the conserved networks of protein–protein and protein–DNA interactions that enable condensate formation and promote formation of meiotic DSBs.
Homologous recombination during meiosis promotes accurate chromosome segregation and genetic diversification in most sexually reproducing organisms. Meiotic recombination starts with DNA double-strand breaks (DSBs) formed by Spo11 protein (related to archaeal topoisomerase VI) plus a cohort of additional conserved factors (Keeney 2008; Robert et al. 2016). Among these factors are Rec114 and Mei4, which are essential for DSB formation but also regulate the number, timing, and location of DSBs in many species (Henderson et al. 2006; Carballo et al. 2013; Rosu et al. 2013; Stamper et al. 2013; Murakami and Keeney 2014; Kumar et al. 2010, 2018; Papanikos et al. 2019; Boekhout et al. 2019; Mu et al. 2020; Claeys Bouuaert et al. 2021a; Hinman et al. 2021).
Rec114 and Mei4 from Saccharomyces cerevisiae form a 2:1 heterotrimeric complex in vitro and assemble cooperatively on DNA to form dynamic nucleoprotein condensates (Claeys Bouuaert et al. 2021a; Yadav and Claeys Bouuaert 2021). In vivo, they associate early in meiotic prophase I with chromatin and form colocalized and interdependent foci along chromosome axes in multiple species (Li et al. 2006; Maleki et al. 2007; Kumar et al. 2010, 2018; Panizza et al. 2011; Rosu et al. 2013; Stamper et al. 2013; Boekhout et al. 2019; Papanikos et al. 2019; Hinman et al. 2021). Rec114–Mei4 (RM) complexes from different organisms interact directly with the meiotic TopoVI-like complex (Arora et al. 2004; Maleki et al. 2007; Claeys Bouuaert et al. 2021a; Hinman et al. 2021; Vrielynck et al. 2021; Nore et al. 2022), but the molecular mechanisms of RM function remain poorly understood.
Rec114 and Mei4 were first recognized to function as a unit in S. cerevisiae (Arora et al. 2004; Li et al. 2006; Maleki et al. 2007). Their homologs in nonfungal species were not identified until later because of poor sequence conservation (Kumar et al. 2010). The Rec114 N terminus contains six signature sequence motifs (SSMs) defined by remote homology detection, plus a seventh SSM near the C terminus following a region of predicted disorder (Fig. 1A; Maleki et al. 2007; Kumar et al. 2010; Tessé et al. 2017). X-ray crystallography of a fragment of mouse REC114 showed that the N-terminal SSMs correspond to diverse secondary structure elements within a pleckstrin homology (PH) domain (Kumar et al. 2018; Boekhout et al. 2019) that interacts with SPO11 partner TOP6BL and with vertebrate-specific DSB regulator ANKRD31 (Boekhout et al. 2019; Nore et al. 2022). The C-terminal region of yeast Rec114 (including SSM7) is sufficient to form a trimeric complex with the N terminus of Mei4 (including the first two of Mei4's six SSMs), and this minimal complex is sufficient to bind DNA in an apparently sequence-nonspecific manner (Claeys Bouuaert et al. 2021a).
Aside from the structure of the mouse REC114 PH domain, there is little empirical information about the molecular structures of these essential, conserved meiotic DSB factors. Understanding of the DNA binding activities that support cooperative assembly of RM condensates is also limited. To address these issues, we examined the structures and biophysical properties of Rec114 and Mei4 using a combination of computational modeling, NMR spectroscopy, and bulk biochemical and single-molecule experiments. We demonstrated an evolutionarily conserved structure for the RM trimerization and DNA binding (TDB) domain and show that this minimal domain is sufficient to bind cooperatively to DNA to form nucleoprotein condensates. We further uncovered a DNA-bridging activity of the RM-TDB domain that can bundle coaligned DNA molecules.
Results
Predicted structure of the Rec114–Mei4 trimer interface
On the basis of cross-linking plus mass spectrometry, yeast two-hybrid analyses, and purification of truncated recombinant proteins expressed in Escherichia coli, we previously showed that residues 375–428 of yeast Rec114 (referred to here as Rec114C) and residues 1–43 of Mei4 (Mei4N) form stable trimers (Maleki et al. 2007; Claeys Bouuaert et al. 2021a). Armed with this information, we used AlphaFold2 (Jumper et al. 2021; Mirdita et al. 2022) to predict a structure of this complex (Fig. 1B; Supplemental Fig. S1A,B). Residues 389–426 from each Rec114 segment are predicted to form a twisted U shape consisting of three α helices (residues ∼389–396, 399–407, and 409–426), with the two copies interlocking like a scissor staircase. Mei4 residues 3–42 are predicted to form an L-shaped helix–turn–helix: α-Helix 1 (residues 3–29) is embraced by the Rec114 dimer and lies along the dimer's axis of rotational symmetry, while the shorter Mei4 α-helix 2 (31–42) lies across α-helix 2 of one of the Rec114 protomers. DALI searches (Holm and Laakso 2016) revealed no matches to this structure.
The Rec114 dimer by itself is rotationally symmetric in the model (RMSD 0.6 Å for superimposition of the two copies of Rec114389–426) (Supplemental Fig. S1C). Mei4 breaks this symmetry because different faces of its first helix interact with the two Rec114 copies and because its second α helix contacts only one of the Rec114 protomers (Fig. 1B). AlphaFold2 did not generate a high-confidence prediction for Rec114 residues 375–388, possibly indicating that these are disordered (Supplemental Fig. S1B).
Experimental validation of the computational structure model
We tested the AlphaFold2 model empirically by examining recombinant Rec114C–Mei4N complexes purified after coexpression in E. coli (Fig. 2A). Mei4N could not be purified separately, precluding reconstitution of the complex from separately expressed components. The far-UV circular dichroism (CD) spectrum of Rec114C–Mei4N trimers showed characteristic minima at 208 and 222 nm, typical for α-helical proteins (Fig. 2B; Greenfield 2006).
Solution nuclear magnetic resonance (NMR) spectroscopy experiments using the uniformly {15N-13C}-labeled ternary complex showed moderate peak dispersion in two-dimensional {1H-15N} heteronuclear single quantum coherence (HSQC) spectra, consistent with expectations for well-structured helical proteins (Fig. 2C). Backbone chemical shifts were assigned for residues 399–428 of Rec114C and residues 5–42 of Mei4N at pH 7.4 (Materials and Methods; Supplemental Fig. S2). Importantly, Rec114C exhibited two sets of peaks corresponding to the two copies in the trimeric complex (Fig. 2C, insets; Supplemental Fig. S2A,B), consistent with the predicted asymmetry between the Rec114C protomers.
Secondary structure prediction from chemical shifts using TALOS-N (Shen and Bax 2013) supported the AlphaFold2 predictions for helix–turn–helix segments at residues 399–428 of both copies of Rec114C (α-helices 2 and 3) and at residues 5–42 of Mei4N (Fig. 2D). Notably, Mei4N residues 5–13 were predicted to be fractionally helical, suggesting fraying at the N-terminal end of the first Mei4N helix and consistent with the lower confidence of the AlphaFold2 prediction for this region (Supplemental Fig. S1A,B). No NMR signals were observed for Rec114C residues 386–398, precluding assessment of their structure. The TALOS-N predictions were corroborated by NOEs between consecutive amide protons in both Rec114C and Mei4N, consistent with expectations for helical structure (Supplemental Fig. S2).
Given the absence of NMR signals for Rec114C residues 386–398 and the fractional helicity of Mei4N residues 5–13, we examined the effects of truncating each construct. Removing 13 amino acids from the N terminus of Rec114C (Rec114388–428) resulted in minimal spectroscopic changes other than the elimination of a few peaks originating from the very N terminus of Rec114C (Supplemental Fig. S3A). In contrast, removing 24 residues (Rec114399–428) resulted in substantial chemical shift perturbations, the loss of several well-dispersed resonances, and broadened linewidths (Supplemental Fig. S3A), consistent with the loss of well-defined structure in the complex. These truncations suggest that Rec114C residues 388–398, but not residues 375–387, are important for structural stability. Removing the first 12 residues of Mei4N (Mei413–43) also resulted in minimal perturbations in spectra (Supplemental Fig. S3B). Together, these data indicate that residues 388–428 of Rec114 and 13–43 of Mei4 form the core structured unit of the Rec114–Mei4 interface.
Given the importance of Rec114C residues 388–398 to complex stability, we sought conditions under which we could observe NMR signals for this region. Lowering the pH, which slows amide proton exchange with solvent (Matthew and Richards 1983), resulted in the appearance of a number of new peaks with minimal perturbations elsewhere in the spectra (Supplemental Fig. S3C). Assignment of the minimal structured construct (Rec114388–428–Mei413–43) at pH 6.1 revealed that these new peaks correspond to residues 388–399 of Rec114C (Supplemental Fig. S4A,C,E). TALOS-N secondary structure predictions for these constructs (Supplemental Fig. S4B,D,F) showed that truncation of both Rec114C and Mei4N had little effect on helical structures that had been evident in the longer construct. Surprisingly, no stable secondary structure was predicted for the newly visible regions comprising residues 388–399. Although the AlphaFold2 model indicates α helices for Rec114 protomers at residues 391–394 or 388–396, the confidence score for this prediction is low (Supplemental Fig. S1A,B). Our data suggest that despite its importance for the stability of the complex, this region does not adopt stable helical structure in the absence of DNA at lower pH. Altogether, these spectroscopic data are in good agreement with the AlphaFold2 model.
Although the Rec114C C-terminal region by itself can dimerize (Claeys Bouuaert et al. 2021a), the CD spectrum of purified Rec114C alone showed substantially diminished α-helical character, indicating that it is less structured (Fig. 2B). In contrast to the ternary complex, HSQC spectra of Rec114C alone showed poor dispersion, with a limited number of peaks of variable intensity (Supplemental Fig. S5A). Purified Rec114C also eluted as a broader peak compared with the ternary complex in size exclusion chromatography (Supplemental Fig. S5B). These findings indicate that Rec114C by itself is at least partly unfolded, suggesting in turn that interaction with Mei4N stabilizes the α-helical secondary structure of Rec114.
Structural insights into sequence conservation
The model accounts well for patterns of sequence conservation, with the structural motifs elucidated in the model and our experimental data corresponding to conserved elements. In Rec114, SSM7 comprises helices 2 and 3 plus the turn between them (Fig. 3A). In Mei4, SSM1 corresponds to the stable second half of helix 1 plus a part of helix 2, while SSM2 begins in helix 2 and extends two residues beyond the structured domain analyzed here (Fig. 3A).
Many highly conserved residues are hydrophobic and contribute to intermolecular interfaces in the model. F411 is nearly invariant in Rec114 orthologs (Fig. 3A) and contacts Mei4 residues W19 or I21 (Fig. 3B), the equivalents of which are universally large hydrophobic residues (Fig. 3A). Similarly, W34 of Mei4 helix 2 contacts I412 and V415 from one of the Rec114 chains (Supplemental Fig. S6A). W34 is the first residue in SSM2 and is nearly invariant in Mei4 orthologs; V415 in Rec114 is also highly conserved, while I412 is more moderately conserved (Fig. 3A). Rec114 helices 2 and 3 are amphipathic, with conserved hydrophobic side chains every three to four residues facing inward toward Mei4 (Fig. 3A,B). In contrast, the conserved hydrophobic residues in helix 1 of Mei4 are not restricted to just one face, appearing every one to two residues (Fig. 3A,B), consistent with this helix being embraced by the two copies of Rec114. The model also predicts a salt bridge between the nearly invariant E419 of Rec114 and R29 in Mei4, which is nearly always a basic residue (Fig. 3A; Supplemental Fig. S6A).
Twofold symmetric hydrophobic contacts between the Rec114 chains also contribute to the sequence conservation. I402 and L406 from helix 2 of each Rec114 copy pack against hydrophobic residues V418, L422, and M425 from helix 3 of the other chain (Supplemental Fig. S6B). These residues are highly conserved (Fig. 3A).
There are also a number of predicted interactions involving residues that are less well conserved, including salt bridges between Mei4 E16 and D18 and K405 from each Rec114 chain (Fig. 3C) and hydrogen bonds between Mei4 K41 and backbone carbonyl oxygens from L406 and K407 of one copy of Rec114 (Supplemental Fig. S5A).
We tested the importance of specific amino acid contacts by mutagenesis of Rec114 and yeast two-hybrid (Y2H) assays for interaction with wild-type Mei4 protein (Supplemental Fig. S7). The Rec114 F411A mutation strongly reduced the interaction, as previously shown (Claeys Bouuaert et al. 2021a). Double substitution of alanine for V418 and L422 also strongly compromised interaction with Mei4, while K405E, I402A, and triple alanine substitution of N416, E419, and N423 had more modest effects (Supplemental Fig. S7). The other mutations tested had little or no effect on the Mei4 interaction, but we note that another recent study demonstrated that alanine substitution of K405 in Rec114 or E16 and D18 of Mei4 reduced the thermal stability of the RM complex without blocking complex formation outright (Daccache et al. 2023). Our findings, along with those of Daccache et al. (2023), thus indicate that many of the molecular contacts defined in the AlphaFold2 model are important for RM complex formation.
To further explore the correspondence between sequence conservation and structure, we generated AlphaFold2 models for trimeric RM complexes from Schizosaccharomyces pombe, Mus musculus, Arabidopsis thaliana, and Caenorhabditis elegans (Fig. 3D; Supplemental Fig. S6C). For C. elegans, we used the two Rec114 paralogs DSB-1 and DSB-2 (Rosu et al. 2013; Stamper et al. 2013). Consistent with an independent analysis (Guo et al. 2022), the overall folds were similar and predicted with high confidence scores: Two copies of Rec114 form an approximately twofold symmetric interlocking set of helix–turn–helix motifs embracing an α helix from Mei4. Alignment of the models for Rec114 SSM7 illustrates the strong conservation of the helix boundaries and the relative orientation between helices 2 and 3 (Fig. 3E). The nearly invariant phenylalanine (budding yeast F411) occupies the same position after the turn between these helices, highlighting its conserved role in Rec114–Mei4 complex formation. Additionally, the R29–E419 salt bridge is conserved in most of the predicted structures other than plants (although this may be due to the low confidence of that region in the predicted structure of plants) (Supplemental Fig. S6C), and this salt bridge in worms is formed between DSB-2Rec114 and DSB-3Mei4 but would not be able to form with DSB-1Rec114, which has an arginine at the position equivalent to that of E419 (Fig. 3A).
Although the overall folds were similar, there were also substantial differences, in keeping with the high degree of sequence variability between species that has been previously described (Keeney 2008; Kumar et al. 2010; Tessé et al. 2017). For example, the trajectory of the Mei4 turn and second helix and the nature of the interaction of that second helix with Rec114 are markedly different between species (Fig. 3D). Additionally, AlphaFold2 predicted an extra helix after SSM7 in both DSB-1 and DSB-2 from C. elegans but not in other Rec114 orthologs examined (Fig. 3D). Therefore, unlike mouse and budding yeast Rec114 that uses an N-terminal helix, the C. elegans Rec114 orthologs use a C-terminal helix to form a U-shaped helical pocket (Fig. 3D). Also, the poor prediction confidence of the DSB-3 SSM2 region (pLDDT score in Supplemental Fig. S6C) is consistent with this segment being less well conserved (Hinman et al. 2021).
The RM-TDB domain is sufficient to form condensates with DNA
Rec114C–Mei4N trimers are competent to bind pUC19 plasmid DNA substrates, but under the electrophoretic mobility shift assay (EMSA) conditions tested, they did not appear to be able to form condensates (Claeys Bouuaert et al. 2021a). We therefore more fully characterized the DNA-binding activity of Rec114C–Mei4N trimers (referred to here as the RM-TDB [trimerization and DNA binding] domain).
In EMSAs with a 150-bp substrate, we observed at least two discrete shifted species plus material trapped in the wells (Fig. 4A), indicating that multiple protein complexes could bind to the same or multiple copies of DNA. We cannot accurately estimate Kd values because we do not know the stoichiometry of protein bound to DNA or the number of binding sites per DNA molecule, so we compared binding to different substrates by measuring the protein concentration that resulted in 50% of the DNA being bound (C50). The RM-TDB domain showed roughly comparable abilities to bind to linear DNA substrates of different lengths ranging from 80 to 1000 bp (C50 of ∼80–100 nM), while binding to a 20-bp substrate occurred with substantially lower apparent affinity (C50 of ∼800 nM) (Fig. 4A,B; Supplemental Fig. S8A,B).
The apparent affinity for the 150-bp substrate was affected only modestly if at all by including 50 additional amino acids from the IDR of Rec114 and 47 additional residues from Mei4 (complexes of Rec114325–428 with Mei41–90) (Fig. 4B; Supplemental Fig. S8C,D). Binding was similar or identical to constructs lacking the structurally dispensable N-terminal residues from the Rec114 fragment and Mei4 (complexes of Rec114388–428 with Mei413–43) (Fig. 4B). We conclude that the minimal folded RM-TDB alone is sufficient to bind DNA, albeit with substantially lower affinity than the full-length RM complex, which has a C50 of 6 nM for 80-bp DNA (Claeys Bouuaert et al. 2021a).
We visualized protein–DNA complexes using atomic force microscopy (AFM) and fluorescence confocal microscopy. At a concentration of the RM-TDB domain (200 nM) above the C50 and in the presence of supercoiled or relaxed circular plasmid DNA or 1000-bp linear DNA, AFM showed large clusters with DNA emanating out from a dense core (Fig. 4C). In contrast, the protein alone at concentrations ranging from 200 nM to 2 µM formed only small, relatively homogeneous particles on the mica surface (Fig. 4C; Supplemental Fig. S8E). Clusters still formed with constructs without residues 375–387 from Rec114C (Supplemental Fig. S8F).
Interestingly, although Rec114C alone bound to DNA with lower apparent affinity than the RM-TDB domain (C50 in EMSAs of ∼300–400 nM) (Supplemental Fig. S8G), it could still form nucleoprotein clusters in AFM experiments at high concentration (Supplemental Fig. S8H). Mei4N may contribute directly to DNA binding and cooperative assembly or may act primarily by stabilizing the Rec114C fold.
When nucleoprotein assemblies were imaged by confocal microscopy of fluorescent RM-TDB domain and 1000-bp linear DNA, we observed dense protein- and DNA-rich cores surrounded by halos that also contained both protein and DNA but at lower density (Fig. 4D). The dense cores (minimum radius 580 nm; median 940 nm) were larger than the expected contour length of the DNA (383 nm) (Fig. 4E), indicating that many copies of the DNA are interconnected to form the cores. The thickness of the halos (median 657 nm) also typically exceeded the DNA contour length (Fig. 4F), ruling out a simple model that the halos consist solely of DNA molecules that have one end embedded in the core. Instead, we inferred that the halos are also complex networks of protein-bound DNA molecules, some of which are embedded in the core and some of which are not. We note that these structures were imaged after immobilization on a surface but were formed in solution, so these are likely to be two-dimensional deformations of three-dimensional—presumably globular—structures.
These findings show that the minimal folded RM-TDB domain by itself is capable of assembling cooperatively with DNA to form large structures reminiscent of the nucleoprotein condensates formed by full-length RM complexes (Claeys Bouuaert et al. 2021a). The critical concentration needed is considerably lower for the full-length proteins, however, which form condensates at RM concentrations as low as 12 nM under otherwise similar conditions. Thus, while the regions of the proteins outside of the RM-TDB are not strictly required, they clearly contribute to the efficiency of condensation.
We also examined DNA binding by the RM-TDB domain at a lower concentration (70 nM). No condensates were observed by AFM, but instead we found numerous discrete particles that were located both at DNA ends and interstitially (Fig. 4G; Supplemental Fig. S8I). Both types of binding event yielded similarly sized particles as well (Supplemental Fig. S8J). The contour length of the 1000-bp substrate was markedly shorter when bound by protein (Fig. 4H), suggesting that binding of the RM-TDB domain compacts the DNA. By comparing the volumes of free and protein-bound DNA, we estimated that there were on average approximately seven Rec114C–Mei4N trimers per binding site (Materials and Methods; Supplemental Fig. S8K).
Similar to full-length RM complexes (Claeys Bouuaert et al. 2021a), condensation by truncated RM complexes (Rec114325–428–Mei41–90) was promoted by higher protein concentration and by the molecular crowding agent polyethylene glycol (PEG-8000) (Supplemental Fig. S9A,S9B). Condensation was eliminated at higher salt concentration (above ∼200 mM NaCl) (Supplemental Fig. S9C), confirming the importance of electrostatic interactions for condensation (Claeys Bouuaert et al. 2021a). Condensation was also suppressed by hexanediol (Supplemental Fig. S9D).
The RM-TDB domain reversibly bridges coaligned DNA molecules
To characterize the dynamics of DNA binding by the RM-TDB domain, we conducted single-molecule imaging experiments combining optical trapping with scanning confocal microscopy in a laminar flow microfluidic system (Fig. 5A; Leicher et al. 2022; Renger et al. 2022). RM-TDB was fluorescently labeled using the ybbR-Sfp system (Yin et al. 2006; Wasserman et al. 2019), in which the bacterial phosphopantetheinyl transferase Sfp covalently attached a single LD650 fluorophore to a specific serine residue in the 11-residue ybbR peptide fused to the C terminus of Mei4N (Supplemental Fig. S10A). EMSA and NMR analyses indicated that the ybbR tag without the fluorophore does not affect the DNA-binding activity or structure of RM-TDB (Supplemental Fig. S10B,C), and DNA binding was also unaffected by the labeling reaction (Supplemental Fig. S10B). We used either a dual-trap or quadruple-trap system to capture one or two pairs of streptavidin-coated polystyrene beads to which biotinylated bacteriophage λ-DNA molecules could be bound and then moved them into the channel containing a mixture of unlabeled and fluorescently labeled RM-TDB for visualization (Fig. 5A).
We observed a striking DNA-binding activity for the RM-TDB domain when a pair of beads tethered together by two or more DNA molecules was moved into the protein channel (eight out of 10 trials). DNA segments that were already aligned were rapidly bound by RM-TDB complexes continuously along the length of the aligned regions (Fig. 5B; Supplemental Movie S1). With further incubation, additional RM-TDB protein associated with the DNA, simultaneously lengthening both the stretches of bound protein and the segments of aligned DNA (Fig. 5B).
DNA was not coated by protein when only a single λ-DNA tether held together a pair of beads (bottom pair of beads in Fig. 5C; Supplemental Movie S2), so we inferred that the coaligned DNA stabilizes this mode of binding. Supporting this conclusion, if we crossed the DNA tethers between two pairs of beads, bridging frequently initiated at or near the crossing point (21 of 23 trials) (Supplemental Fig. S11A). Because the crossing points are expected to constrain and align the stretched tethers, the preferential initiation of bridges at these locations indicates that the DNA configuration contributes to stable protein binding.
When present, dangling DNA molecules (i.e., those that had both ends bound to only one bead) were progressively bundled together with the stretched DNA tethers until no more DNA could be coaligned (five out of eight trials) (Fig. 5C; Supplemental Movie S2). This bundling indicates that binding of the RM-TDB domain can exert force to overcome the displacement of the dangling DNA by the flow.
The protein dissociated rapidly when preassembled bundles were moved to a protein-free channel (0.034 sec−1 ± 0.014 sec−1) (Fig. 5D,E; Supplemental Fig. S11B; Supplemental Movie S3). Coincident with protein dissociation, coaligned tethers came apart (Fig. 5E). Protein binding could also be reversed by pulling the beads apart, which resulted in abrupt transitions in force extension curves (Fig. 5F), or by holding the traps in fixed position with high initial tension on the tethers (Supplemental Fig. S11C). It is plausible that, because different DNA molecules are anchored at different places on the beads, pulling the beads away from one another exerts tangential forces that pull the duplexes apart, leading in turn to unbundling and protein release.
We conclude that the RM-TDB domain has a bridging activity that is able to bundle DNA molecules together reversibly. We further infer that protein binding and coalignment of the DNA mutually reinforce one another to promote cooperative assembly of nucleoprotein filaments.
DNA binding by large RM-TDB assemblies
Although we did not observe coating of single DNA duplexes by RM-TDB (Fig. 5C), we did frequently observe the sudden appearance of bright protein foci that then remained stably bound to their initial locations on DNA tethers (four out of eight trials) (Fig. 5G; Supplemental Fig. S12A; Supplemental Movie S4). Each focus contained multiple copies of the RM-TDB domain, as judged by analysis of fluorescence intensity, and showed little or no indication of coinciding with a spot of locally condensed DNA (Supplemental Fig. S12B). Moreover, fluorescence intensity was already maximal when a focus first appeared, showing little or no evidence of net growth by addition of more protein (Fig. 5G,H; Supplemental Fig. S12B,C). When beads tethered by a protein-bound DNA molecule were pulled apart at constant velocity, multiple transitions in the force extension curves could be detected (Supplemental Fig. S12D–F), suggesting that interactions between distinct DNA segments were disrupted (Supplemental Fig. S12D–F). We infer that these focal binding events reflect capture by the DNA of rare, relatively large, pre-existing RM-TDB assemblies that can bind simultaneously to multiple segments along the same DNA molecule. These assemblies may be nonspecific protein aggregates, specific multiprotein complexes, or nucleoprotein condensates formed on trace nucleic acid in the purified preparations.
More importantly, we observed a different mode of protein binding on dangling DNA molecules in which relatively modest initial protein fluorescence at the tip of the DNA increased in intensity over time, indicating incorporation of new proteins over time (nine out of 12 trials) (Fig. 5H,I; Supplemental Fig. S12C; Supplemental Movie S5). Protein-bound DNA tips moved progressively upward against flow toward the beads, coincident with the increase in signal intensity (Fig. 5I; Supplemental Fig. S12G). Tip binding could also occur coincidentally with apparent bridging of the parallel arms of a single dangling DNA (Supplemental Fig. S12G).
These findings with dangling DNA suggest that binding of the RM-TDB domain can nucleate at or near positions where segments of a single DNA duplex fold back in parallel, perhaps through bridging of the coaligned stretches of DNA segments. This nucleation can then lead to progressive accumulation of more protein and incorporation of more of the unconstrained DNA. These nucleoprotein structures are able to exert force on the DNA as they assemble, as indicated by their ability to pull DNA up toward the bead against flow (Fig. 5I). As this mode of binding was not seen with extended DNA tethers, it suggests that the formation and growth of these protein–DNA assemblies are fostered by the availability of the less constrained dangling DNA. These binding events thus have properties expected for nucleation and growth of condensates that are similar to those that form when the protein is allowed to assemble on unconstrained DNA in solution.
Evolutionarily variable DNA-binding surface of the RM-TDB domain
We previously showed that DNA binding by full-length RM complexes was compromised by alanine substitution of four basic residues (R395, K396, K399, and R400) within the RM-TDB domain (Claeys Bouuaert et al. 2021a). This “Rec114-4KR” mutant reduced binding to an 80-bp DNA substrate by ∼1.5-fold, diminished condensate formation on plasmid substrates, attenuated formation of chromatin-bound foci in vivo, and almost completely eliminated DSB formation during meiosis. This mutant protein retained its ability to form a complex with Mei4 (Claeys Bouuaert et al. 2021a) and also retained Y2H interactions with other known Rec114 binding partners (Rec102 and Rec104), unlike Rec114 mutants with substitutions in the PH domain (Supplemental Fig. S13A,B). It is likely that the DNA binding defect is the main cause of defective DSB formation in vivo, but we cannot rule out the possibility that the mutation also affects other protein–protein interactions important for Rec114 function.
Our model provides a structural framework for understanding how these residues and others contribute to DNA binding. Overall, the surface of the RM-TDB domain is highly positively charged because of symmetric faces of the Rec114C dimer that display outward-directed basic side chains (Fig. 6A). Each face comprises the Rec114-4KR residues R395, K396, K399, and R400 plus residues K403 and K407 from one Rec114C chain, along with residues K417 and K424 from the other chain (Fig. 6A). R395 and K396 lie in the turn between helices 1 and 2; K399, R400, K403, and K407 lie within helix 2; and K417 and K424 lie within helix 3 (Figs. 3A, 6A).
We tested the contributions of these residues to DNA binding by the minimal RM-TDB domain using double alanine substitutions. Mutation of K399/R400 substantially reduced the apparent affinity for a 150-bp DNA substrate in EMSAs (C50 of ∼2 µM) (Fig. 6B; Supplemental Fig. S13C). Mutation of R395/K396, K403/K407, or K417/K424 also reduced binding but to a lesser extent (C50 between 500 nM and 1 µM). We also examined condensate formation by AFM for the K417A/K424A mutant. Interestingly, this mutant at 2 µM was still able to gather 1000-bp linear DNA into large clusters but with a less compact higher-order structure of larger radius and reduced height (Fig. 6C; Supplemental Fig. S13D,E). These findings suggest that electrostatic interactions are crucial for the RM-TDB domain to assemble densely packed nucleoprotein cores.
Unlike the residues that contribute to protein–protein interactions within the folded RM-TDB core, these outward-facing basic residues are highly variable between Rec114 orthologs (Fig. 3A). Among the species examined here, only the S. cerevisiae protein is predicted to have such a strongly positive electrostatic surface potential (Fig. 6D; Supplemental Fig. S13F).
Interestingly, the mouse RM-TDB domain is predicted to have an overall negative surface potential, with only a few basic surface residues (Fig. 6D). To test whether the mouse protein is able to bind and condense DNA, we expressed and purified trimeric complexes of REC114 residues 203–259 (mREC114C) with MEI4 residues 1–42 (mMEI4N) (Fig. 6E; Supplemental Fig. S13G). This protein complex bound to a 150-bp DNA substrate and shifted it to the wells in EMSAs but with much lower apparent affinity than the yeast protein (Fig. 6F). By AFM, the mouse RM-TDB protein appeared as fairly uniform, small particles in the absence of DNA but was also able to form nucleoprotein clusters when incubated with plasmid DNA (Fig. 6G). We conclude that the DNA binding and condensation activity is conserved in the mouse protein, albeit with substantial differences in affinity and the details of the putative protein–DNA interface.
Discussion
In this study, we focused on the minimal folded domain that forms the core of the trimeric Rec114–Mei4 interface. Computational modeling revealed a unique but evolutionarily conserved helical fold in which the C-terminal segments from a pair of Rec114 proteins embrace one another to form a roughly twofold symmetric sleeve into which the first helix of a helix–turn–helix segment from Mei4 inserts, breaking the symmetry. These structural predictions agree with those from other groups (Guo et al. 2022; Daccache et al. 2023; Laroussi et al. 2023). We validated key predictions of the computational model by NMR experiments on this minimal RM-TDB domain from S. cerevisiae.
This structure raises the question of how the complex is assembled in vivo. Since Rec114 dimers can form readily without Mei4 and might compete with the correctly assembled RM complex for binding to the Spo11 core complex, a cotranslational assembly mechanism might be beneficial (Shiber et al. 2018). In fact, overexpression of Rec114 alone results in dominant-negative inhibition of DSB formation (Bishop et al. 1999), emphasizing the potential importance of forming stoichiometric RM complexes.
Interfacial residues—particularly hydrophobic ones that contribute to both homotypic and heterotypic intermolecular interactions—are the principal contributors to the signatures of sequence conservation in these parts of both proteins. Our findings thus provide a fine-grained molecular framework for understanding the coevolution of these proteins, explaining in turn how they often act as a single functional unit during meiotic DSB formation (Li et al. 2006; Maleki et al. 2007; Kumar et al. 2018; Hinman et al. 2021; Vrielynck et al. 2021). Nonetheless, it is remarkable that many residues in this domain are highly variable between species.
The RM-TDB domain exhibits multiple DNA-binding modes distinguishable by experimental approach, including nucleoprotein condensate formation (Figs. 4C,D, 5I), bridging of coaligned DNA duplexes (Fig. 5B,C), and formation of either small, discrete particles (Fig. 4G) or large focal structures (Fig. 5G). Of course, the RM-TDB is a small part of a very large and complex chromatin-associated machinery, so its precise roles and activities in vivo might differ from what is described here. Nonetheless, as discussed below, we consider it likely that these DNA-binding modes are functionally related and reveal specific characteristics that underlie the formation of higher-order DNA assemblies by the RM complex.
The minimal yeast RM-TDB domain was previously shown to bind DNA, but unexpectedly, we also found that it is sufficient to form higher-order nucleoprotein condensates in vitro. Although the full-length RM complex is much more efficient at making condensates, our findings point to the RM-TDB domain as an important basal module of condensate formation. The mouse and yeast proteins share this property, albeit with quantitatively very different abilities to support efficient condensation.
A critical factor for observing condensates appears to be the availability of long DNA substrates that are unconstrained (as in our AFM and confocal studies of structures formed in solution before immobilization on a surface) or minimally constrained (as with the dangling DNA in optical trap experiments). Confocal microscopy uncovered an interesting substructure of condensates in which a protein- and DNA-dense core is surrounded by a less dense nucleoprotein meshwork. The biophysical differences between these two zones are not currently clear, but previous experiments indicated that RM condensates can transition to a more stable, possibly gel-like state over time (Claeys Bouuaert et al. 2021a). Thus, it is possible that these two zones are related to differences between more sol-like versus more gel-like condensates made by the full-length proteins.
In optical trap experiments, we observed progressive assembly of nucleoprotein structures on dangling DNA that involved net accumulation of protein concomitant with incorporation of additional DNA. It is plausible that these assemblies are related to the condensates we observed by AFM and confocal microscopy, possibly being equivalent to early dynamic steps in the formation of mature condensates.
The DNA-bridging activity we also observed in these single-molecule experiments was particularly striking and unexpected. One defining feature of this mode of binding is that at least one of the DNA duplexes is physically constrained in an outstretched configuration. Although we lack evidence that bridging also occurs within condensates, it is straightforward to infer that it does so and is in fact an important component of the network of interactions that makes up a condensate. This is because the same bridging interactions that give rise to linear nucleoprotein filaments on stretched DNA would be expected to give a more complex three-dimensional meshwork on minimally or unconstrained DNA in solution.
Several properties of DNA bridging stand out, including its dynamic nature (readily reversible with fast off rate); its formation of long, contiguous stretches of coaligned DNA duplexes; its ability to bundle several DNA duplexes; and its ability to apply force and in turn to be disrupted by force. These properties, combined with the structure of the RM-TDB domain, point to two further implications. First, the rotational symmetry of the Rec114C dimer, with its potential to provide two nearly identical DNA-binding faces, led us to envision that the basal bridging unit may be a single RM-TDB trimer. Importantly, condensate formation was not supported by an asymmetric complex in which a wild-type copy of the Rec114 C terminus was translationally fused to a 4KR mutant copy, supporting the interpretation that the RM-TDB domain carries bivalent DNA interaction surfaces (see the accompanying article by Daccache et al. 2023). However, we cannot exclude that a dimer of trimers or other higher-order assembly is the base unit.
Second, we considered that a significant contributor to the cooperativity of DNA binding is the combination of DNA persistence length with a bivalent DNA-binding protein. Supporting this idea, we concluded above that protein binding and DNA coalignment mutually reinforce because prealigning the DNA favors protein binding, and conversely, binding of additional protein exerts force to align otherwise separate duplexes. This type of cooperativity could be entirely independent of contacts between adjacent bridging units (analogous to the ties on a railroad track) because the presence of a bridge increases the effective local concentration of an adjacent protein binding site and reduces the entropic cost of forming an adjacent bridge (Wiggins et al. 2009). Alternatively, cooperativity may also be fostered by direct protein–protein interactions.
Protein–protein interactions might contribute to the formation of the small clusters of RM-TDB proteins on single DNA duplexes observed by AFM under subsaturating conditions (Fig. 4G). These clusters are unlikely to represent bridging of folded back duplex DNA because the internal binding events showed no evidence of the consistent sharp DNA bends that would be expected for foldback events. Interestingly, however, the shorter contour length of cluster-bound DNA suggests that the DNA is condensed, possibly following a superhelical trajectory. Although the relationship between these clusters and other modes of DNA binding is unclear, we speculate that clusters may resemble the initial binding events that lead to bridging, condensation, or both.
The nature is also unclear for the remaining mode of DNA binding we observed; namely, the large RM-TDB foci that appeared suddenly on DNA tethers in optical trap experiments. These foci were maximally bright when they first appeared, bound stably to their initial binding sites, did not appear to incorporate substantial amounts of condensed DNA, and neither gained nor lost protein subunits at an appreciable rate. It thus appears plausible that they are nonspecific, preformed protein aggregates, though we cannot exclude that these represent a rapid initial condensation within the imaging frame interval (which was typically a few seconds) that is limited by the available slack in the DNA tether. Regardless of how these DNA-binding events arise, however, we inferred that each focus likely has multiple DNA binding interfaces because of their force-sensitive ability to connect distant DNA segments on the same DNA molecule. Thus, these foci may provide insight into how large multivalent RM assemblies could interact with DNA.
An important observation in our study is that most of these nucleoprotein structures generate force that can reel in more DNA or bundle DNA molecules together against opposing forces. Conversely (and by necessity), interactions of the RM-TDB domain with DNA are modulated by applied force. By extension, we inferred that the more complex condensates containing RM complexes and other proteins in vivo also both respond to and impose force on chromatin. There is a growing appreciation of the importance of capillary forces imposed by biomolecular condensates (Gouveia et al. 2022), including forces on DNA from nucleoprotein assemblies such as those made by transcription factors (Quail et al. 2021; Nguyen et al. 2022; Renger et al. 2022).
During meiosis, mechanical stress on chromosomes has been proposed to regulate the number and spatial patterning of recombination events (Kleckner et al. 2004; Zhang et al. 2014). More recently, diffusion-based coarsening models have been proposed to explain the patterning of meiotic crossovers (Zhang et al. 2018; Morgan et al. 2021; Haversat et al. 2022) and—via RM and Mer2 condensates—DSBs (Claeys Bouuaert et al. 2021a). We therefore propose that the RM-TDB domain, with its intrinsic force-generating and force-responsive properties, is a fundamental building block that organizes DSB formation and may provide an example of how to reconcile mechanical stress and coarsening models for meiotic chromosome behavior.
Materials and methods
Expression and purification of Rec114–Mei4 complexes
All Rec114 and Mei4 constructs were cloned into a pETDuet-based expression vector with a 6xHis-SUMO tag, except for Rec114C alone, which was cloned into a pSMT3-based vector (Supplemental Table S1). The plasmids were transformed into BL21(DE3) cells (Invitrogen) for overexpression. Purification of all constructs reported in this work followed the same procedure. Typically, cells were induced with 1 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) at an OD600 of ∼0.6–0.8 for 3–4 h at 37°C. The cells were lysed by sonication in 25 mM HEPES-NaOH (pH 7.4), 500 mM NaCl, 1× Complete protease inhibitor tablet (Roche), and 0.1 mM phenylmethanesulfonyl fluoride (PMSF) and centrifuged at 5000g for 10 min. Cleared extract was loaded onto 1 mL of pre-equilibrated cobalt resin (Thermo Scientific). The column was washed extensively with wash buffer (25 mM HEPES-NaOH at pH 7.4, 500 mM NaCl, 5 mM imidazole, 0.1 mM PMSF). The tagged complexes were then eluted in elution buffer containing 200 mM imidazole. The elution was dialyzed in 25 mM HEPES-NaOH (pH 7.4) and 200 mM NaCl overnight at 4°C with ∼0.1 mg/mL homemade Ulp1 to cleave off the His-SUMO tag. After dialysis, the sample was clarified, concentrated, and then chromatographed on a Superdex 200 Increase 10/300 GL column (Cytiva) pre-equilibrated in 25 mM HEPES-NaOH (pH 7.4) and 100 mM NaCl. The fractions after size exclusion chromatography were checked by SDS-PAGE and pooled. Protein concentration was determined by A280. Concentrations were calculated on the basis of a 2:1 stoichiometry for trimeric complexes or on the basis of a dimer of Rec114C only. Aliquots were frozen in liquid nitrogen and stored at −80°C.
For {15N}- or {15N-13C}-labeled samples, a single colony was inoculated in 5 mL of Luria-Bertani (LB) liquid medium and grown for 6–8 h at 37°C, and then the culture was diluted 100-fold into 100 mL of M9 minimal medium with 15N ammonium chloride or with both 15N ammonium chloride and 13C D-glucose from Cambridge Isotopes and grown overnight at 37°C. The overnight culture was then transferred to 900 mL of fresh M9 minimal medium and grown until OD600 of ∼0.6–0.8 before IPTG induction. The remaining expression and purification procedures were the same as for unlabeled samples.
Fluorescent labeling of the RM-TDB domain
Site-specific labeling was done as described previously (Wasserman et al. 2019). Briefly, 1 µM RM-TDB in which Mei4N had a C-terminal ybbR tag was incubated with ∼3 µM Sfp and 2 µM CoA-LD650 in buffer HM (50 mM HEPES-NaOH at pH 7.4, 10 mM MgCl2) for 2 h at room temperature in a total volume of 100 µL. The sample was then subjected to size exclusion chromatography to remove Sfp and unincorporated dye. Aliquots were frozen in liquid nitrogen and stored at –80°C.
NMR spectroscopy
Unless otherwise noted, NMR data were collected in 25 mM HEPES-NaOH (pH 7.4), 100 mM NaCl, 0.5 mM EDTA, 1 mM TCEP, and 0.05% NaN3 at 25°C on a Bruker Avance III spectrometer at the New York Structural Biology Center (NYSBC). Rec114C–Mei4N was assigned using 600 µM uniformly {15N-13C}-labeled protein at 800 MHz (1H) using nonuniformly sampled HNCACB, CBCA(CO)NH, HNCA, HNCACO, HNCO, HN(COCA)NH, and H(CCCONH)-TOCSY. NOESY-HSQC data were collected using τmix = 100 msec. Assignments from Rec114C–Mei4N were transferred directly to Rec114388–428–Mei4N spectra and corroborated using 408 µM uniformly {15N-13C}-labeled protein at 25°C at 700 MHz (1H) using nonuniformly sampled HNCACB, HNCA, HNCACO, HNCO, HN(COCA)NH, and H(CCCONH)-TOCSY. Rec114388–428–Mei413–43 was assigned using 470 µM uniformly {15N-13C}-labeled protein in 25 mM NaHPO4 (pH 6.1), 100 mM NaCl, 0.5 mM EDTA, 1 mM TCEP, 0.05% NaN3, and 5% D2O at 800 MHz (1H) using nonuniformly sampled HNCACB, CBCA(CO)NH, HNCA, HNCACO, HNCO, and HN(COCA)NH. Spectra for isolated Rec114375–428 were collected using 100 µM protein at 500 MHz (1H) (Weill Cornell NMR Core). All spectra were processed using NMRpipe (Delaglio et al. 1995) and reconstructed using SMILE-NMR (Ying et al. 2017) on NMRbox (Maciejewski et al. 2017). Data were analyzed using NMRFAM-SPARKY (Lee et al. 2015). TALOS-N was used to generate secondary structure predictions (Shen and Bax 2013).
CD spectroscopy
CD spectra were collected using an AVIV Biomedical model 410 CD spectrometer. Spectra were collected at 25°C using 1-nm wavelength steps going from 300 to 190 nm. Each spectrum was collected using a 2-min temperature equilibration and one scan for each step with a 5-sec averaging time using 0.2-mm path length plates. The concentrations for Rec114C–Mei4N and Rec114C alone were 30 and 100 µM, respectively.
Bioinformatic analysis
We used IUPRED3 (Erdős et al. 2021) and ANCHOR (Dosztányi et al. 2009) to predict protein disorder. Sequence-based secondary structure prediction was done via PSIPRED 4.0 (Buchan and Jones 2019). The multiple sequence alignment (MSA) was performed using the MAFFT 7 online server with the FFT-NS-2 option (Katoh et al. 2019). The sequence and secondary structural conservation rendering figure were generated by Espript 3.0 (Robert and Gouet 2014).
The structural models were generated by ColabFold (Mirdita et al. 2022) with a Python Jupyter notebook (https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/beta/AlphaFold2_advanced.ipynb). MSA was generated using mmseqs2 (Steinegger and Söding 2017). The default pair MSA and filter options were used to generate five models with the highest pLDDT scores. These models were highly similar to each other and the one with the highest score was selected for subsequent analyses.
DNA substrates and EMSAs
Short linear DNA substrates were generated by annealing complementary oligonucleotides (sequences are listed in Supplemental Table S2). The substrates were as follows (with oligo names in parentheses): dsDNA20 (KL020 and KL021) and dsDNA80 (KL024 and KL025). Oligos were mixed in equimolar concentrations (10 μM) in STE (100 mM NaCl, 10 mM Tris-HCl at pH 8, 1 mM EDTA), heated, and slowly cooled on a PCR thermocycler (3 min at 98°C, 1 h at 75°C, 1 h at 65°C, 30 min at 37°C, and 10 min at 25°C).
Larger linear substrates were prepared by PCR amplification of a λ-DNA template (New England Biolabs). Substrates were as follows: 150 bp for KL001 and KL003 and 1000 bp for KL001 and KL004. Fluorescently labeled substrates were prepared by PCR amplification of λ as follows: Cy3 1000 bp for KL001 and KL010. PCR products were purified by agarose gel electrophoresis.
Binding reactions (10 μL) were carried out in 25 mM Tris-HCl (pH 7.4) and 100 mM NaCl. Unless stated otherwise, reactions contained 5 ng of substrate and the indicated concentration of protein. Complexes were assembled for 20 min at room temperature and separated on 6% DNA retardation gels (Thermo Fisher Scientific) at 200 V for 1–2 h. Gels were stained with SYBR Safe (Invitrogen) and scanned using a ChemiDoc imaging system (Bio-Rad). We quantified apparent affinities from protein titration EMSA experiments by linear interpolation as the concentration of protein at which 50% of the substrate was bound (referred to as the C50). Because we did not know the stoichiometry of protein-bound DNA or the number of protein binding sites per DNA molecule, these are only rough approximations of true Kd values and are used to provide a means of comparison between different DNA binding experiments.
AFM imaging
For AFM imaging, protein complexes were diluted to the indicated concentration (70 nM to 6 µM) in the presence of ∼1 ng/µL different DNA substrates in 25 mM HEPES-NaOH (pH 7.4), 5 mM MgCl2, 50 mM NaCl, and 10% glycerol. Complexes were assembled for 30 min at room temperature. A volume of 40 μL of the protein–DNA binding reaction was deposited onto freshly cleaved mica (SP1) for 2 min. The sample was rinsed with 10 mL of ultrapure deionized water, and the surface was dried using a stream of nitrogen. AFM images were captured using an Asylum Research MFP-3D-BIO (Oxford Instruments) microscope in tapping mode at room temperature. An Olympus AC240TS-R3 AFM probe with resonance frequencies of ∼70 kHz and spring constant of ∼1.7 N/m was used for imaging. Images were collected at a speed of 0.5–1 Hz with a resolution of ∼1 nm/pixel.
For the experiments at low protein concentration (70 nM), we used a Matlab (2021b) script to trace the DNA and determine the contour length. Briefly, the DNA molecule boundaries were determined by the bwboundaries.m function. The contour of each DNA molecule was further determined by the bwskel.m function to measure the contour length. For complex DNA molecules with multiple RM binding sites, the bwmorph.m function was used to determine the branch points and different binding segments. Contour length was then measured for each segment. All contour length measurements were manually checked by ImageJ (Schneider et al. 2012).
For volume measurement, boundaries (B) were first determined for each DNA molecule as described above. The volume was then defined by V = rx*ry*[∑p∈B(hp − hb)], where rx and ry are the resolution of each pixel, hp is the height of each pixel within the boundaries B, and hb is the average height of the background.
To estimate the number of RM-TDB proteins bound, an average protein density of 1.44 g/cm3 was used (Fischer et al. 2004; Claeys Bouuaert et al. 2021b). For a single RM-TDB domain, the volume Vp was estimated to be ∼20.7 nm3, and there was an average of 2.2 particles per DNA molecule (Np in Fig. 4H). The average volume difference (Vd) between in the absence and presence of RM-TDB was 303 nm3, so the average number of RM-TDB bound was estimated as
which is 6.7.
Scanning confocal microscopy
Reactions (20 µL) of 450 nM Rec114C–Mei4N LD650 mixed with 25 nM Cy3-labeled 1000-bp linear DNA in 25 mM HEPES-NaOH (pH 7.4) and 100 mM NaCl were incubated for 10 min at room temperature and deposited onto the surface of a coverslip. The confocal image data were collected with a Lumicks C-trap instrument using 532-nm and 638-nm lasers to excite the Cy3 and LD650 dyes, respectively. Two-dimensional scan movies were recorded by BlueLake software (Lumicks) at ∼200 µsec/pixel and 100 nm/pixel resolution.
Confocal images were split into LD650 (protein) and Cy3 (DNA) channels and analyzed separately. The sizes of the whole condensates and of just the dense core were determined by ImageJ using thresholding. The radius of the core was then determined simply by A = πr2, where A is the area of the core and r is the radius. The core radii were similar in the two channels, so only the protein channel data were reported.
To determine the thickness of the halo structure, we used a custom Matlab script. Briefly, the boundaries of the cores and the whole condensates were determined by thresholding. The center of the core was also determined. A series of lines at 10° angles were then drawn starting from the center point. The halo thickness along each line was determined and then averaged for a given condensate to generate each data point in Figure 4F.
In vitro condensation assay
The DNA-driven condensation assays in Supplemental Figure S9 were performed as previously described (Claeys Bouuaert et al. 2021a), except that we used 15 nM Cy3-labeled 1000-bp DNA instead of fluorescently labeled protein. After 30-min incubation at room temperature with occasional mixing, 4 μL was dropped onto a microscope slide and covered with a coverslip. Images were captured on a Zeiss Axio Observer Z1 Marianas workstation with a 10× or 100×/1.4 NA oil immersion objective. Marianas Slidebook (Intelligent Imaging Innovations) software was used for acquisition. Images were analyzed with ImageJ using a custom-made script. Images were thresholded using the mean intensity of the background plus two times the standard deviation of the background. Masked foci were counted, and the intensity inside the focus mask was integrated. Data points represent averages of 10 images per sample. Data were analyzed and plotted using Graphpad Prism 9.
Yeast two-hybrid (Y2H) experiments
Y2H vectors for wild-type proteins were as previously described (Arora et al. 2004; Maleki et al. 2007). The plasmids used here were as follows: pACT2-Rec114 (pSK304) encodes the Gal4-activating domain (AD) fused to Rec114, pCA1-Mei4 (pSK281) encodes the LexA DNA binding domain fused to Mei4, pCA1-Rec102 (pSK282) encodes LexA–Rec102, and pCA1-Rec104 (pSK283) encodes LexA–Rec104. Gal4AD empty vector control (pACT2) was pSK276. Y2H vectors for Rec114 mutations were generated by QuickChange mutagenesis or Gibson assembly and were as in Supplemental Table S1.
Y2H vectors were transformed separately in haploid yeast strains SKY661 and SKY662 (Arora et al. 2004; Maleki et al. 2007) and selected on appropriate synthetic dropout medium. Strains were mated and streaked for single diploid colonies on medium lacking tryptophan and leucine. Single colonies were grown overnight in selective medium with 2% glucose. Cultures were then diluted in fresh medium containing 2% galactose and 1% raffinose and grown for 4 h. Cells were lysed, and a quantitative β-galactosidase assay was performed using 4 mg/mL ONPG substrate according to standard protocols (Clontech).
Single-molecule optical trap experiments: data acquisition
Single-molecule experiments were conducted at room temperature on a Lumicks C-trap instrument combining three-color confocal fluorescence microscopy with quadruple-trap optical tweezers. Laminar flow separated channels 1–3, which were used to form DNA tethers between 4.89-µm streptavidin-coated polystyrene beads (Spherotech) held in traps with a stiffness of ∼0.3 pN/nm. Under constant flow, a single bead was caught in each trap in channel 1. The traps were then quickly moved to channel 2 containing the biotinylated λ-DNA (Lumicks). By moving one trap against the direction of flow but toward the other trap and vice versa, a DNA tether could be formed and detected via a change in the force–distance (FD) curve. The traps were then moved to channel 3 containing only PBS buffer for force calibration without flow, and the presence of a single DNA was verified by the FD curve. Orthogonal channels 4 and 5 served as protein loading and/or experimental imaging chambers as described for each assay. The flow was turned on to visualize binding of the RM-TDB domain. SYTOX Orange and LD650 were excited by two laser lines at 532 and 638 nm, respectively. The RM-TDB domain concentration in all experiments shown here was 20 nM. The imaging buffer condition was 25 mM HEPES-NaOH (pH 7.4), 50 mM NaCl, 5 mM MgCl2, 10% glycerol, and 5 nM SYTOX Orange if not specified otherwise. Intercalating dyes such as SYTOX Orange can affect the mechanical properties of DNA at high concentration (Biebricher et al. 2015), so we used this relatively low SYTOX Orange concentration to minimize this effect and to avoid potentially interfering with protein binding. In Figure 5F, some of the heterogeneity in staining is due to the force-dependent binding of SYTOX Orange. The off rate of the dye significantly decreases as the applied force increases (Biebricher et al. 2015). Thus, the staining appears more discontinuous at the low forces applied in the top panels of Figure 5F than at the higher forces applied in the bottom panels. We note that spontaneous nicks may be present in the λ-DNA substrates, but these would not affect any of the conclusions drawn here.
For experiments with multiple DNA tethers and/or dangling DNA, extra waiting time was spent in channel 2 to allow more biotinylated λ-DNA molecules to bind to the bead surface. To generate crossed DNA, a Lumicks Q-trap system was used. Briefly, four individual 4.89-µm streptavidin-coated polystyrene beads were trapped by four laser traps in channel 1. The trap stiffness was kept the same as above. The traps were then moved to channel 2 to catch biotinylated λ-DNA. The first pair of beads was trapped by trap 1 and trap 2 to catch the first DNA tether and left >10 µm apart to prevent more tethers forming. The second pair of beads was trapped by trap 3 and trap 4 to catch the second tether. The traps were then moved to channel 3 to verify the DNA. To achieve a single DNA tether, the DNA was held at ∼65 pN for some period of time until only a single tether was left, which was characterized by the FD curve. A script was used to generate the crossed DNA configuration at channel 3. The data were recorded by BlueLake software (Lumicks).
Single-molecule experiments: data analysis
The C-trap fluorescence data were processed and visualized by ImageJ and custom Python scripts based on Pylake package (v0.13.0) provided by Lumicks. The line tracking was performed using the track_greedy function from the Pylake package. Waiting time was extracted manually based on the starting time point of the binding from two-dimensional scan movies. The fluorescence images were visualized and exported by ImageJ.
For extraction of mean photon counts, raw data of two-dimensional scans were exported by Pylake as .tiff files and analyzed in Matlab. A region of interest (ROI) box was drawn manually to include extract photon counts of the region, and mean photon counts of the ROI were determined by averaging the photon counts per pixel. The same size boxes were applied to the same movie. The normalized mean intensity is the ratio of the mean photon count per pixel for each frame to the mean photon count per pixel for the first frame (t = 0). Dissociation rates were determined by fitting the mean photon counts to a single exponential curve.
Code availability
Custom Matlab and ImageJ scripts are available online at https://github.com/kliu39/RM-paper.
Data availability
Source data are provided with this article as Supplemental Material. The chemical shift assignments can be accessed as BMRB IDs 51786 and 51787. Additional data are available from the corresponding author on request.
Supplementary Material
Acknowledgments
We thank Michael Wasserman and Ling Wang for reagents, Gabriella Chua for technical support for the confocal microscopy experiments, Biran Wang and Young Hun Kim for AFM experiments, Shibani Bhattacharyya for support in performing NMR experiments at the New York Structural Biology Center (NYSBC), Clay Bracken for support in performing NMR experiments at the Weill Cornell NMR Core Facility, and Murray Tipping for discussion of C-trap experiments. We thank members of the Keeney and S. Liu laboratories for discussions. We thank the Memorial Sloan Kettering (MSK) Molecular Cytology Core Facility for assistance with AFM and C-trap experiments. MSK Core Facilities are supported by National Cancer Institute Cancer Center support grant P30 CA08748. The LUMICKS C-trap was purchased with funds from Howard Hughes Medical Institute (HHMI) and a Basic Research Innovation Award (BRIA) shared instrument grant from MSK. D.E. is a member of the NYSBC, which is supported by Office of Research Infrastructure Programs (ORIP)/National Institutes of Health (NIH) facility improvement grant CO6RR015495. The 700-MHz spectrometer was purchased with funds from NIH grant S10OD018509. Data collected using the 800-MHz Avance III spectrometer are supported by NIH grant S10OD016432. Some of the work presented here was conducted at the Center on Macromolecular Dynamics by NMR Spectroscopy located at the NYSBC, supported by NIH grant GM118302. The Weill Cornell NMR Core Facility is supported by NIH grant S10 OD016320. K.L. is a Damon Runyon Fellow supported in part by the Damon Runyon Cancer Research Foundation (DRG-[2389-20]). This work was supported by a Basic Research Innovation award from MSK (to S.K. and D. Patel) and NIH grants R35 GM136686 (to D.E.), DP2 HG010510 (to S.L.), R35 GM118092 (to S.K.), and R01 HD110120 (to S.K. and D. Patel). This article is subject to the Open Access to Publications policy of the Howard Hughes Medical Institute (HHMI). HHMI laboratory heads have previously granted a nonexclusive CC BY 4.0 license to the public and a sublicensable license to HHMI in their research articles. Pursuant to those licenses, the author-accepted manuscript of this article can be made freely available under a CC BY 4.0 license immediately upon publication.
Author contributions: K.L., E.M.G., D.E., S.L., and S.K. designed the research. K.L., E.M.G., M.Z., and S.P. performed the research. K.L., E.M.G., D.E., and S.K. wrote the paper with input from S.L.
Footnotes
Supplemental material is available for this article.
Article published online ahead of print. Article and publication date are online at http://www.genesdev.org/cgi/doi/10.1101/gad.350461.123.
Freely available online through the Genes & Development Open Access option.
Competing interest statement
The authors declare no competing interests.
References
- Arora C, Kee K, Maleki S, Keeney S. 2004. Antiviral protein Ski8 is a direct partner of Spo11 in meiotic DNA break formation, independent of its cytoplasmic role in RNA metabolism. Mol Cell 13: 549–559. 10.1016/S1097-2765(04)00063-2 [DOI] [PubMed] [Google Scholar]
- Biebricher AS, Heller I, Roijmans RFH, Hoekstra TP, Peterman EJG, Wuite GJL. 2015. The impact of DNA intercalators on DNA and DNA-processing enzymes elucidated through force-dependent binding kinetics. Nat Commun 6: 7304. 10.1038/ncomms8304 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bishop DK, Nikolski Y, Oshiro J, Chon J, Shinohara M, Chen X. 1999. High copy number suppression of the meiotic arrest caused by a dmc1 mutation: REC114 imposes an early recombination block and RAD54 promotes a DMC1 -independent DSB repair pathway. Genes Cells 4: 425–444. 10.1046/j.1365-2443.1999.00273.x [DOI] [PubMed] [Google Scholar]
- Boekhout M, Karasu ME, Wang J, Acquaviva L, Pratto F, Brick K, Eng DY, Xu J, Camerini-Otero RD, Patel DJ, et al. 2019. REC114 partner ANKRD31 controls number, timing, and location of meiotic DNA breaks. Mol Cell 74: 1053–1068.e8. 10.1016/j.molcel.2019.03.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buchan DWA, Jones DT. 2019. The PSIPRED protein analysis workbench: 20 years on. Nucleic Acids Res 47: W402–W407. 10.1093/nar/gkz297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carballo JA, Panizza S, Serrentino ME, Johnson AL, Geymonat M, Borde V, Klein F, Cha RS. 2013. Budding yeast ATM/ATR control meiotic double-strand break (DSB) levels by down-regulating Rec114, an essential component of the DSB-machinery. PLoS Genet 9: e1003545. 10.1371/journal.pgen.1003545 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Claeys Bouuaert C, Pu S, Wang J, Oger C, Daccache D, Xie W, Patel DJ, Keeney S. 2021a. DNA-driven condensation assembles the meiotic DNA break machinery. Nature 592: 144–149. 10.1038/s41586-021-03374-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Claeys Bouuaert C, Tischfield SE, Pu S, Mimitou EP, Arias-Palomo E, Berger JM, Keeney S. 2021b. Structural and functional characterization of the Spo11 core complex. Nat Struct Mol Biol 28: 92–102. 10.1038/s41594-020-00534-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Daccache D, De Jonge E, Liloku P, Mechleb K, Haddad M, Corthaut S, Sterckx YG-J, Volkov AN, Claeys Bouuaert C. 2023. Evolutionary conservation of the structure and function of meiotic Rec114–Mei4 and Mer2 complexes. Genes Dev (this issue). 10.1101/gad.350462.123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Delaglio F, Grzesiek S, Vuister G, Zhu G, Pfeifer J, Bax A. 1995. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J Biomol NMR 6: 277–293. 10.1007/BF00197809 [DOI] [PubMed] [Google Scholar]
- Dosztányi Z, Mészáros B, Simon I. 2009. ANCHOR: web server for predicting protein binding regions in disordered proteins. Bioinformatics 25: 2745–2746. 10.1093/bioinformatics/btp518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erdős G, Pajkos M, Dosztányi Z. 2021. IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation. Nucleic Acids Res 49: W297–W303. 10.1093/nar/gkab408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fischer H, Polikarpov I, Craievich AF. 2004. Average protein density is a molecular-weight-dependent function. Protein Sci 13: 2825–2828. 10.1110/ps.04688204 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gouveia B, Kim Y, Shaevitz JW, Petry S, Stone HA, Brangwynne CP. 2022. Capillary forces generated by biomolecular condensates. Nature 609: 255–264. 10.1038/s41586-022-05138-6 [DOI] [PubMed] [Google Scholar]
- Greenfield NJ. 2006. Using circular dichroism spectra to estimate protein secondary structure. Nat Protoc 1: 2876–2890. 10.1038/nprot.2006.202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo H, Stamper EL, Sato-Carlton A, Shimazoe MA, Li X, Zhang L, Stevens L, Tam KJ, Dernburg AF, Carlton PM. 2022. Phosphoregulation of DSB-1 mediates control of meiotic double-strand break activity. Elife 11: e77956. 10.7554/eLife.77956 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haversat J, Woglar A, Klatt K, Akerib CC, Roberts V, Chen S-Y, Arur S, Villeneuve AM, Kim Y. 2022. Robust designation of meiotic crossover sites by CDK-2 through phosphorylation of the MutSγ complex. Proc Natl Acad Sci 119: e2117865119. 10.1073/pnas.2117865119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Henderson KA, Kee K, Maleki S, Santini PA, Keeney S. 2006. Cyclin-dependent kinase directly regulates initiation of meiotic recombination. Cell 125: 1321–1332. 10.1016/j.cell.2006.04.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hinman AW, Yeh H-Y, Roelens B, Yamaya K, Woglar A, Bourbon H-MG, Chi P, Villeneuve AM. 2021. Caenorhabditis elegans DSB-3 reveals conservation and divergence among protein complexes promoting meiotic double-strand breaks. Proc Natl Acad Sci 118: e2109306118. 10.1073/pnas.2109306118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holm L, Laakso LM. 2016. Dali server update. Nucleic Acids Res 44: W351–W355. 10.1093/nar/gkw357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, et al. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596: 583–589. 10.1038/s41586-021-03819-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katoh K, Rozewicki J, Yamada KD. 2019. MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization. Brief Bioinform 20: 1160–1166. 10.1093/bib/bbx108 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keeney S. 2008. Spo11 and the formation of DNA double-strand breaks in meiosis. Genome Dyn Stab 2: 81–123. 10.1007/7050_2007_026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kleckner N, Zickler D, Jones GH, Dekker J, Padmore R, Henle J, Hutchinson J. 2004. A mechanical basis for chromosome function. Proc Natl Acad Sci 101: 12592–12597. 10.1073/pnas.0402724101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar R, Bourbon HM, De Massy B. 2010. Functional conservation of Mei4 for meiotic DNA double-strand break formation from yeasts to mice. Genes Dev 24: 1266–1280. 10.1101/gad.571710 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar R, Oliver C, Brun C, Juarez-Martinez AB, Tarabay Y, Kadlec J, de Massy B. 2018. Mouse REC114 is essential for meiotic DNA double-strand break formation and forms a complex with MEI4. Life Sci Alliance 1: e201800259. 10.26508/lsa.201800259 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Laroussi H, Juarez-Martinez AB, Le Roy A, Boeri Erba E, De Massy B, Kadlec J. 2023. Characterization of the REC114–MEI4–IHO1 complex regulating meiotic DNA double-strand break formation. bioRxiv 10.1101/2023.01.11.523614 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee W, Tonelli M, Markley JL. 2015. NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy. Bioinformatics 31: 1325–1327. 10.1093/bioinformatics/btu830 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leicher R, Osunsade A, Chua GNL, Faulkner SC, Latham AP, Watters JW, Nguyen T, Beckwitt EC, Christodoulou-Rubalcava S, Young PG, et al. 2022. Single-stranded nucleic acid binding and coacervation by linker histone H1. Nat Struct Mol Biol 29: 463–471. 10.1038/s41594-022-00760-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li J, Hooker GW, Roeder GS. 2006. Saccharomyces cerevisiae Mer2, Mei4 and Rec114 form a complex required for meiotic double-strand break formation. Genetics 173: 1969–1981. 10.1534/genetics.106.058768 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maciejewski MW, Schuyler AD, Gryk MR, Moraru II, Romero PR, Ulrich EL, Eghbalnia HR, Livny M, Delaglio F, Hoch JC. 2017. NMRbox: a resource for biomolecular NMR computation. Biophys J 112: 1529–1534. 10.1016/j.bpj.2017.03.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maleki S, Neale MJ, Arora C, Henderson KA, Keeney S. 2007. Interactions between Mei4, Rec114, and other proteins required for meiotic DNA double-strand break formation in Saccharomyces cerevisiae. Chromosoma 116: 471–486. 10.1007/s00412-007-0111-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Matthew JB, Richards FM. 1983. The pH dependence of hydrogen exchange in proteins. J Biol Chem 258: 3039–3044. 10.1016/S0021-9258(18)32826-6 [DOI] [PubMed] [Google Scholar]
- Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. 2022. Colabfold: making protein folding accessible to all. Nat Methods 19: 679–682. 10.1038/s41592-022-01488-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morgan C, Fozard JA, Hartley M, Henderson IR, Bomblies K, Howard M. 2021. Diffusion-mediated HEI10 coarsening can explain meiotic crossover positioning in Arabidopsis. Nat Commun 12: 4674. 10.1038/s41467-021-24827-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mu X, Murakami H, Mohibullah N, Keeney S. 2020. Chromosome-autonomous feedback down-regulates meiotic DNA break competence upon synaptonemal complex formation. Genes Dev 34: 1605–1618. 10.1101/gad.342873.120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murakami H, Keeney S. 2014. Temporospatial coordination of meiotic DNA replication and recombination via DDK recruitment to replisomes. Cell 158: 861–873. 10.1016/j.cell.2014.06.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen T, Li S, Chang JT-H, Watters JW, Ng H, Osunsade A, David Y, Liu S. 2022. Chromatin sequesters pioneer transcription factor Sox2 from exerting force on DNA. Nat Commun 13: 3988. 10.1038/s41467-022-31738-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nore A, Juarez-Martinez AB, Clément J, Brun C, Diagouraga B, Laroussi H, Grey C, Bourbon HM, Kadlec J, Robert T, et al. 2022. TOPOVIBL–REC114 interaction regulates meiotic DNA double-strand breaks. Nat Commun 13: 7048. 10.1038/s41467-022-34799-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Panizza S, Mendoza MA, Berlinger M, Huang L, Nicolas A, Shirahige K, Klein F. 2011. Spo11-accessory proteins link double-strand break sites to the chromosome axis in early meiotic recombination. Cell 146: 372–383. 10.1016/j.cell.2011.07.003 [DOI] [PubMed] [Google Scholar]
- Papanikos F, Clément JAJ, Testa E, Ravindranathan R, Grey C, Dereli I, Bondarieva A, Valerio-Cabrera S, Stanzione M, Schleiffer A, et al. 2019. Mouse ANKRD31 regulates spatiotemporal patterning of meiotic recombination initiation and ensures recombination between X and Y sex chromosomes. Mol Cell 74: 1069–1085.e11. 10.1016/j.molcel.2019.03.022 [DOI] [PubMed] [Google Scholar]
- Quail T, Golfier S, Elsner M, Ishihara K, Murugesan V, Renger R, Jülicher F, Brugués J. 2021. Force generation by protein–DNA co-condensation. Nat Phys 17: 1007–1012. 10.1038/s41567-021-01285-1 [DOI] [Google Scholar]
- Renger R, Morin JA, Lemaitre R, Ruer-Gruss M, Jülicher F, Hermann A, Grill SW. 2022. Co-condensation of proteins with single- and double-stranded DNA. Proc Natl Acad Sci 119: e2107871119. 10.1073/pnas.2107871119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robert X, Gouet P. 2014. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res 42: W320–W324. 10.1093/nar/gku316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robert T, Vrielynck N, Mézard C, de Massy B, Grelon M. 2016. A new light on the meiotic DSB catalytic complex. Semin Cell Dev Biol 54: 165–176. 10.1016/j.semcdb.2016.02.025 [DOI] [PubMed] [Google Scholar]
- Rosu S, Zawadzki KA, Stamper EL, Libuda DE, Reese AL, Dernburg AF, Villeneuve AM. 2013. The C. elegans DSB-2 protein reveals a regulatory network that controls competence for meiotic DSB formation and promotes crossover assurance. PLoS Genet 9: e1003674. 10.1371/journal.pgen.1003674 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schneider CA, Rasband WS, Eliceiri KW. 2012. NIH image to ImageJ: 25 years of image analysis. Nat Methods 9: 671–675. 10.1038/nmeth.2089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen Y, Bax A. 2013. Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks. J Biomol NMR 56: 227–241. 10.1007/s10858-013-9741-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shiber A, Döring K, Friedrich U, Klann K, Merker D, Zedan M, Tippmann F, Kramer G, Bukau B. 2018. Cotranslational assembly of protein complexes in eukaryotes revealed by ribosome profiling. Nature 561: 268–272. 10.1038/s41586-018-0462-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stamper EL, Rodenbusch SE, Rosu S, Ahringer J, Villeneuve AM, Dernburg AF. 2013. Identification of DSB-1, a protein required for initiation of meiotic recombination in Caenorhabditis elegans, illuminates a crossover assurance checkpoint. PLoS Genet 9: 1–18. 10.1371/annotation/340dc359-b1f8-46bb-a82d-d209315c154c [DOI] [PMC free article] [PubMed] [Google Scholar]
- Steinegger M, Söding J. 2017. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nat Biotechnol 35: 1026–1028. 10.1038/nbt.3988 [DOI] [PubMed] [Google Scholar]
- Tessé S, Bourbon HM, Debuchy R, Budin K, Dubois E, Liangran Z, Antoine R, Piolot T, Kleckner N, Zickler D, et al. 2017. Asy2/Mer2: an evolutionarily conserved mediator of meiotic recombination, pairing, and global chromosome compaction. Genes Dev 31: 1880–1893. 10.1101/gad.304543.117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vrielynck N, Schneider K, Rodriguez M, Sims J, Chambon A, Hurel A, De Muyt A, Ronceret A, Krsicka O, Mézard C, et al. 2021. Conservation and divergence of meiotic DNA double strand break forming mechanisms in Arabidopsis thaliana. Nucleic Acids Res 49: 9821–9835. 10.1093/nar/gkab715 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wasserman MR, Schauer GD, O'Donnell ME, Liu S. 2019. Replication fork activation is enabled by a single-stranded DNA gate in CMG helicase. Cell 178: 600–611.e16. 10.1016/j.cell.2019.06.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wiggins PA, Dame RT, Noom MC, Wuite GJL. 2009. Protein-mediated molecular bridging: a key mechanism in biopolymer organization. Biophys J 97: 1997–2003. 10.1016/j.bpj.2009.06.051 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yadav VK, Claeys Bouuaert C. 2021. Mechanism and control of meiotic DNA double-strand break formation in S. cerevisiae. Front Cell Dev Biol 9: 1–20. 10.3389/fcell.2021.642737 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yin J, Lin AJ, Golan DE, Walsh CT . 2006. Site-specific protein labeling by Sfp phosphopantetheinyl transferase. Nat Protoc 1: 280–285. 10.1038/nprot.2006.43 [DOI] [PubMed] [Google Scholar]
- Ying J, Delaglio F, Torchia DA, Bax A. 2017. Sparse multidimensional iterative lineshape-enhanced (SMILE) reconstruction of both non-uniformly sampled and conventional NMR data. J Biomol NMR 68: 101–118. 10.1007/s10858-016-0072-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang L, Liang Z, Hutchinson J, Kleckner N. 2014. Crossover patterning by the beam-film model: analysis and implications. PLoS Genet 10: e1004042. 10.1371/journal.pgen.1004042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang L, Köhler S, Rillo-Bohn R, Dernburg AF. 2018. A compartmentalized signaling network mediates crossover control in meiosis. Elife 7: e30789. 10.7554/eLife.30789 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Source data are provided with this article as Supplemental Material. The chemical shift assignments can be accessed as BMRB IDs 51786 and 51787. Additional data are available from the corresponding author on request.