ABSTRACT
Many pathogens or symbionts of animals and plants contain multiple replicons, a configuration called a multipartite genome. Multipartite genomes enable those species to replicate their genomes faster and better adapt to new niches. Despite their prevalence, the mechanisms by which multipartite genomes are stably maintained are poorly understood. Agrobacterium tumefaciens is a plant pathogen that contains four replicons: a circular chromosome (Ch1), a linear chromosome (Ch2), and two large plasmids. Recent work indicates that their replication origins are clustered at the cell poles in a manner that depends on their ParB family centromeric proteins: ParB1 for Ch1 and individual RepB paralogs for Ch2 and the plasmids. However, understanding of these interactions and how they contribute to genome maintenance is limited. By combining genome-wide chromosome conformation capture (Hi-C) assays, chromatin-immunoprecipitation sequencing (ChIP-seq), and live cell fluorescence microscopy, we provide evidence here that centromeric clustering is mediated by interactions between these centromeric proteins. We further show that the disruption of centromere clustering results in the loss of replicons. Our data establish the role of centromeric clustering in multipartite genome stability.
KEYWORDS: Agrobacterium tumefaciens, ParB, RepB, PopZ, PodJ, GPR, Hi-C, ChIP-seq
INTRODUCTION
Many species across the bacterial kingdom contain a multipartite genome (1). It has been proposed that a multipartite genome imparts to these bacteria multiple competitive advantages to adapt to new niches, such as faster genome duplication, more rapid growth, and more flexible gene dosage regulation through modulating the copy number of individual replicons (1, 2). However, a multipartite genome poses challenges for genome stability during cell proliferation, especially for the replicons that are not essential for every growth condition. The mechanisms by which multipartite genomes are maintained are still unknown.
Agrobacterium tumefaciens, the causative agent of crown gall disease on plants, has four replicons: a circular chromosome (Ch1, 2,841 kb), a linear chromosome (Ch2, 2,076 kb), and two plasmids, pAt (542 kb) and pTi (216 kb) (3, 4) (Fig. 1A). Like many other species, the primary chromosome (Ch1) replicates first, followed by the replication of secondary replicons (Ch2 and plasmids) (5–10). Our recent study (11) characterized the organization of this multipartite genome and revealed that the origins of the four replicons are clustered together and localized at the two cell poles (Fig. 1A). Moreover, the arms of Ch1 and Ch2 are aligned not only within each chromosome to generate interarm interactions but also between the two chromosomes, resulting in Ch1-Ch2 alignment (Fig. 1A). It was found that the centromeric proteins, ParB1 for Ch1 and RepBCh2 for Ch2, are required for origin clustering and Ch1-Ch2 alignment (11). Despite these known interactions, it is unclear how origin clustering contributes to multipartite genome maintenance and whether origin clustering is through direct interactions among the centromeric proteins or mediated by other factors.
A. tumefaciens has a unipolar growth mechanism (12) in which the cell wall is only synthesized at the new cell pole, also called the growth pole. There are three proteins (GPR, PopZ, and PodJ) that are thought to serve as polar organizing proteins. At the growth pole, GPR and PopZ are both required for unipolar growth, cell shape, and normal cell division (13–18). Moreover, in the absence of PopZ, the origin of Ch1 (or ori1) disassociates from the new pole, indicating that PopZ anchors the origin to the new pole (14), likely through interaction with ParB1 protein (19). The cell pole opposite the growth pole is referred to as the old pole. A third polar landmark protein, PodJ, localizes to the old pole and plays an essential role in the growth pole-to-old pole transition (13, 20). It is unclear whether these polar organizers play a role in clustering the origins together.
In several bacterial species, it has been shown that polar factors interact with sequence-specific DNA-binding proteins to anchor a chromosomal region to the cell pole. For instance, in Caulobacter crescentus, PopZ polymerizes into a matrix at the cell pole, directly interacts with the centromeric ParB/parS complex, and anchors the chromosome origin region at the pole (19, 21, 22). Similarly, in sporulating Bacillus subtilis, DivIVA nucleates at the cell pole and localizes RacA-bound origin-proximal RAM sites to the cell poles (23–25). In another example, the Vibrio cholerae polar protein HubP has also been suggested to interact with the centromeric ParB protein and localize its origin to the pole (26). In A. tumefaciens, since the replication origins of the four replicons are all localized to the cell poles (5, 10, 11) (Fig. 1A), it is possible that certain polar factors interact with each replication origin individually and serve as a platform to cluster the origins together.
In this study, we found that disruption of origin clustering led to the loss of secondary replicons in A. tumefaciens, establishing that origin clustering is critical for the maintenance of the multipartite genomes in bacteria. We further investigated the molecular mechanism of the origin clustering. We found that although the three polar organizers PopZ, PodJ, and GPR were important for the polar localization of the origins, they were not required for the clustering of origins. Furthermore, we showed that the centromeric proteins ParB1 and RepBCh2 interacted when expressed in a distantly related bacterium, B. subtilis. Altogether, we posit that origin clustering is mediated through direct interactions between different centromeric proteins and is critical for maintaining the integrity of this multipartite genome.
RESULTS
Origin clustering is important for maintaining the secondary replicons.
To test how the centromeric proteins contribute to the replication and segregation of the replicons, we visualized the replication origins in the absence of ParB1 or RepBCh2. To label the origins in live cells, we inserted a visualization cassette, mcherry-parBP1-parSP1, at a position 50 kb away from ori1, or ygfp-parBpMT1-parSpMT1, 57 kb away from ori2 or 11 kb away from oAt (11, 27). Each cassette contains yGFP or mCherry fused to ParB from the pMT1 or P1 plasmid and the parS site of pMT1 or P1, respectively (28). When inserted into the A. tumefaciens genome, these cassettes enable the visualization (Fig. 1C to E) and enumeration (Fig. 1F) of the loci of interest in live cells but do not interfere with the function of endogenous ParB/RepB proteins or the organization or the segregation of the gene loci (11). We note that we were not able to track the pTi plasmid in this analysis because pTi was lost when we constructed the ParB1 depletion strain in two independent attempts (11). In Fig. 1C to E, ori1 and ori2 were visualized in the same cells at the top, and oAt was visualized on the bottom. In the wild-type cells, the origins of the chromosomes and plasmids are present as one or two copies localized to either the old cell pole or both cell poles (11) (Fig. 1C). In the ΔrepBch2 markerless deletion mutant (Fig. 1B) there were more copies of ori2, which were randomly distributed in the cell, in contrast to the bipolar localization (Fig. 1D and F). Similarly, when the essential ParB1 protein was depleted by removing inducers (Fig. 1B), ori1 showed aberrant copy number and loss of polar localization (Fig. 1E and F; see also Fig. S1 in the supplemental material). Thus, ParB1 and RepBCh2 are important for their individual replicon’s segregation and replication. These data are consistent with the function of ParB family proteins found in other species (29–32).
Next, we analyzed whether the absence of RepBCh2 or ParB1 affected the replication and segregation of other replicons. In the ΔrepBch2 mutant, the copy number and the localization of ori1 and oAt were very similar to those of the WT (Fig. 1D and F), suggesting that RepBCh2 does not affect the replication or segregation of other replicons. However, and strikingly, in the absence of ParB1, the average numbers of ori2 and oAt per cell were reduced dramatically (Fig. 1E and F), with >40% of cells having no foci for these origins, indicating the loss of Ch2 and pAt. We note that the pTi plasmid was already lost in our ParB1 depletion strain, likely due to diminished ParB1 levels at certain steps of strain construction (11). These experiments showed that RepBCh2 is only important for the maintenance of Ch2, but ParB1 is important for the maintenance of all four replicons. Since ParB1 does not bind to Ch2 or the plasmids in our chromatin-immunoprecipitation sequencing (ChIP-seq) experiments but is required to cluster all the replicons together (11), we reasoned that the effect of ParB1 depletion on these secondary replicons was due to the loss of clustering between the origins (11). Thus, while each centromeric protein is important for the segregation of its cognate replicon, clustering with the origin of Ch1 is critical for the maintenance of secondary replicons.
Polar organizers are important for origin polar localization.
Next, we set out to test the mechanism of centromeric clustering. Since it has been shown in several other species that polar factors interact with sequence-specific DNA-binding proteins to anchor a chromosomal region to the cell pole, such as PopZ in C. crescentus (19, 21, 22), DivIVA in B. subtilis (23–25), and HubP in V. cholerae (26), we investigated whether the three known pole organizing proteins in A. tumefaciens, PodJ, PopZ, and GPR, serve as a bridge for the interreplicon contacts.
We succeeded in making markerless deletions of ΔpodJ, ΔpopZ, or Δgpr in strain C58 growing in minimal ATGN medium (33) (Fig. S2A). Consistent with earlier studies (14–17, 20), in the absence of these polar organizer proteins, cells showed various defects in cell shape and cell division, such as ectopic cell poles (Fig. 2), broader distribution of cell length (Fig. S2G), and increased numbers of anucleate cells (Fig. S2I); Δgpr mutant lost its rod shape and became spherical (Fig. 2E and Fig. S2H). We note that the defects we observed here in minimal ATGN medium were milder than those previously reported in LB (15, 17, 20). We suspect the discrepancy was due to the medium difference and slower growth (Fig. S2A) and not suppressor mutations, because we performed whole-genome sequencing (WGS) on all these mutants that did not reveal any additional mutations.
To test whether PodJ, PopZ, and GPR are required for the proper localization of the replication origins, we visualized ori1 and ori2 in live cells by expressing GFP-ParB1 and RFP-RepBCh2, respectively. We quantified the distance between an origin focus and the cell pole. In the WT, regardless of whether the cells had one or two copies of origins, both ori1 and ori2 were localized at the tips of the cell poles (Fig. 2A and Fig. S2B). In ΔpodJ cells with a single copy of ori1 and ori2, the origins were away from the old pole (Fig. 2B and Fig. S2C). Interestingly, in ΔpodJ cells with two copies of origins, one copy was away from the pole but the other origin was close to the pole (Fig. 2B, yellow caret, and Fig. S2C). In ΔpopZ cells with one copy of ori1 and ori2, the origins were still localized to the old pole in most cells (Fig. 2C and Fig. S2D). However, in ΔpopZ cells with two copies of origins, one copy was close to the pole but the other copy was distant from the pole (Fig. 2C, yellow caret, and Fig. S2D). These data are consistent with the idea that PodJ is required to localize the origins to the old pole but not to the new pole (10), and PopZ is required to anchor the origin but only to the new pole (10, 14). In the ΔpopZ ΔpodJ double mutant, the origins were no longer localized to either pole (Fig. 2D and Fig. S2E). Finally, in the Δgpr mutant, the cells became spherical and localization of the origins appeared random (Fig. 2E and Fig. S2F). These results indicate that polar organizers PodJ, PopZ, and GPR are important for the localization of the origins.
To test whether PopZ, PodJ, and GPR effects on origin polar localization are through interacting with the DNA in a complex, we analyzed the genome-wide enrichment of GFP-PopZ, GFP-PodJ, and GFP-GPR using anti-GFP ChIP-seq (Fig. S3). We observed that the enrichment of GFP-PodJ or GFP-GPR at ori1 and ori2 regions was barely above the background levels, but GFP-PopZ was strongly enriched at these regions (Fig. S3A to C). Previous findings in C. crescentus showed that PopZ directly interacts with ParB and anchors the origins to the cell pole (19). To test whether GFP-PopZ enrichment is dependent on ParB1 or RepBCh2, we performed ChIP-seq in the absence of these proteins. When ParB1 was depleted, GFP-PopZ enrichment at ori1 was abolished and that at ori2 was reduced to 35.9% (Fig. S3D). In the ΔrepBCh2 mutant, GFP-PopZ enrichment at ori1 was unchanged but at ori2 was absent (Fig. S3D). These results suggest that PopZ interacts with ParB1 and to a much lesser degree with RepBCh2, and it anchors the origins to the pole, while GPR and PodJ affect polar localization of the origins indirectly, perhaps by maintaining cell shape or by positioning other unknown origin-anchoring proteins at the cell pole.
Polar organizers are not required for the clustering of origins.
While PopZ, PodJ, and GPR are important for the localization of replicon origins, we next analyzed whether these proteins are required for origin clustering. We first visualized and quantified the colocalization of ori1 and ori2. Qualitatively, in our micrographs of WT and mutants, the ori1 and ori2 foci were largely colocalized regardless of the mutations tested (Fig. 2). Quantitatively, we measured the distance between the centers of green (ori1) and red (ori2) foci. In our images, the average diameter of a fluorescence focus was 6 pixels. When the red and green foci were overlapping, i.e., had an interfocal distance of less than 6 pixels, we defined these as colocalizing. Using this criterion, we found that in the WT, 97% of ori1 foci were colocalized with an ori2 focus (Fig. S2I). In ΔpodJ, ΔpopZ, ΔpopZ ΔpodJ, and Δgpr strains, 94%, 94%, 94%, and 93% of ori1 foci were colocalized to ori2 (Fig. S2I). These results indicate that polar organizers are not required for the colocalization of ori1 and ori2 in the cell.
Next, to complement our single-cell microscopy experiments, we investigated how these polar organizers contribute to the genome-wide DNA organization using Hi-C. In the WT (11), within Ch1 and Ch2, there are intrachromosomal interactions between the chromosome arms, called interarm interactions (Fig. 3A, yellow ovals); between the replicons, there are two types of interreplicon interactions: the clustering of the origins (Fig. 3A, orange ovals) and the alignment of Ch1 and Ch2 in which the two chromosomes are aligned along the arms (Fig. 3A, X-shaped interactions indicated with blue ovals). Our previous study showed that in the absence of ParB1 or RepBCh2 proteins, all the interchromosomal contacts between Ch1 and Ch2 were abolished (11) (Fig. 3B). Therefore, we used ΔrepBCh2 mutant as the background level of Ch1-Ch2 contacts. In ΔpodJ, ΔpopZ, and Δgpr single mutants, the most dramatic change was the reduction in the Ch1-Ch2 alignment interactions, which were reduced to 60.2%, 33.0%, and 13.7%, respectively (Fig. 3C, D, and F and Fig. S4A, B, and D). In the ΔpopZ ΔpodJ double mutant, Ch1-Ch2 alignment interactions were below background levels (Fig. 3E and Fig. S4A, B, and D). By comparison, the intrareplicon contacts were unaltered (Fig. 3C to F) and ori1-ori2 interactions were only mildly affected (Fig. 3C to F and Fig. S4A to C). Similar results are obtained in a genetically and phylogenetically distinct wild-type strain, A. tumefaciens 15955, with substantially different gene content but similar genome architecture (11, 34) (Fig. S4E to G).
Combining our microscopy (Fig. 2) and Hi-C results (Fig. 3), we postulated that the three polar organizers are required for the polar localization of the origins/centromeres, and this polar anchoring of the origins and the rod cell shape help linearly align Ch1 and Ch2, generating the X-shaped pattern in the Hi-C maps (Fig. 3A, blue ovals). However, our data showed that the polar organizers are not required for the ori-ori colocalization in the cell or their clustering interactions in Hi-C. These results raised the possibility that the ParB1 and RepB proteins directly interact to cluster together.
ParB1 and RepBCh2 interact when expressed in B. subtilis.
In our previous ChIP-seq experiments, we observed that ParB1 was not only enriched at parS1 sites but also had an enrichment peak at parS2 sites, albeit at much lower levels (Fig. S5A and C). Similarly, RepBCh2 ChIP-seq showed strong enrichment at parS2 sites but also weak enrichment at parS1 sites (Fig. S5B and D). These ChIP-seq experiments were performed with formaldehyde cross-linking and could not distinguish whether the reciprocal enrichment was through direct ParB1-RepBCh2 interactions or was indirectly bridged by other proteins in A. tumefaciens cells.
To address whether the ParB1 and RepBCh2 enrichment at the reciprocal sites required other A. tumefaciens factors, we set out to perform similar ChIP-seq experiments in a distantly related bacterium, B. subtilis. We expressed mCherry-ParB1 and GFP-RepBCh2 in a B. subtilis strain lacking the native B. subtilis parB gene (Fig. 4A). The B. subtilis genome contains 9 B. subtilis parS sequences (Fig. 4A, blue bars), which have a consensus sequence identical to A. tumefaciens parS1 (11, 34). For GFP-RepBCh2 binding, we cloned the cluster of four A. tumefaciens parS2 sequences from the A. tumefaciens ori2 region and inserted it into the B. subtilis genome (Fig. 4A, gray bars). When expressed in B. subtilis cells, mCherry-ParB1 formed foci in the presence of parS1, similar to B. subtilis ParB localization (36); GFP-RepBCh2 formed foci in the presence of parS2, similar to the localization of the chromosomal locus visualized using the tetO-TetR system (37, 38) (Fig. 4B). To investigate the genome-wide binding profiles of mCherry-ParB1 and GFP-RepBCh2, we performed ChIP-seq experiments using anti-mCherry and anti-GFP antibodies. We found that when expressed singly, mCherry-ParB1 or GFP-RepBCh2 was only enriched at the cognate parS1 or parS2 sites (Fig. 4C and D). However, when the fusions were coexpressed, ParB1 and RepBCh2 were not only enriched at their cognate binding sites but also enriched at the reciprocal sites (Fig. 4C and D). Thus, ParB1 and RepBCh2 are enriched to reciprocal sites when they are present together but in the absence of other A. tumefaciens proteins. Although it is possible that an unknown factor from B. subtilis is bridging ParB1-RepBCh2 interactions, it is more likely that ParB1-RepBCh2 directly interacts in B. subtilis.
We attempted to test ParB1 and RepBCh2 interactions using bacterial two-hybrid assay (BACTH) (39) and in vitro pulldown assays, and we could not detect a positive ParB1-RepBCh2 interaction (Fig. S6). There are two plausible explanations for why we could detect these interactions in the B. subtilis coexpression experiment but not using BACTH or in vitro pulldown experiments. First, in vivo spreading of ParB family proteins allows formation of a three-dimensional nucleoprotein complex (35, 36, 40, 41), possibly in a separated phase (42, 43). It is likely that the nucleation of ParB1/RepBCh2 is important for ParB1-RepBCh2 interactions, and our BACTH and in vitro pulldown experiments did not allow full nucleation of these proteins. Second, ParB1-RepBCh2 interactions might be weak or transient, allowing detection in ChIP experiments with cross-linking in vivo but not in BACTH or in vitro pulldown.
DISCUSSION
Many pathogens or symbionts across the bacterial kingdom contain multiple replicons, also known as a multipartite genome. It has been proposed that a multipartite genome gives these bacteria many competitive advantages (1, 2). For instance, splitting a genome into multiple replicons allows these species to duplicate their genomes faster and grow more rapidly; modulating replicon copy numbers allows for flexible gene dosage regulation and better adaption to new niches because individual secondary replicons often contain genes important for surviving a specific growth condition. Despite these advantages, maintaining a multipartite genome is challenging, especially for the nonessential replicons that are only beneficial in certain environments. An improved understanding of bacterial multipartite genome organization and interactions is emerging. Using A. tumefaciens as a model organism, we recently found that the four replicons interact with each other, and their replication origins/centromeres are clustered together (11). In this study, we identified the biological function for the clustering of origins. We found that disruption of origin clustering led to the loss of chromosome 2 and the plasmids. Thus, we establish that being clustered to the primary chromosome’s centromere is critical for the stable maintenance of the secondary replicons. We posit that origin clustering allows multiple replicons to be uniformly propagated and maintained, so that they can contribute when they are needed as conditions change. Although maintaining nonessential replicons poses a fitness burden for the cells in certain environments, this cost is balanced by the advantages they impart when conditions change and their gene content becomes more beneficial. Viewed in the context of a selfish genetic element, origin clustering is another mechanism by which a replicon such as a virulence plasmid can increase its own long-term stability and promote overall fitness of a facultative pathogen or symbiont, alternating between host association and free-living modes of growth (44).
We investigated the molecular mechanism of origin clustering. Since all the replicons have the origins localized to the cell pole, one possibility is that polar organizer proteins interact with each origin separately and indirectly cluster the origins together. In A. tumefaciens, three such proteins are known: PodJ, PopZ, and GPR (13–18, 20). We found that these polar organizers are not required for the colocalization or clustering of the origins, suggesting that ParB1-RepBs directly interact with each other and cluster together. Indeed, when we expressed mCherry-ParB1 and GFP-RepBCh2 in the distantly related B. subtilis, we observed that ParB1 and RepBCh2 not only enriched at their own binding sites but also enriched at reciprocal sites. Thus, our results indicate that ParB1 and RepBCh2 interact with each other in the absence of other A. tumefaciens proteins and support the idea that centromeres intrinsically adhere to one another, leading to the ori clustering.
The absence of ParB1-RepBCh2 interactions using purified components suggests that these interactions are weak and transient. Nevertheless, due to ParB1/RepBCh2 spreading to nearby regions (35, 36, 40), such weak or transient interactions could be significant on chromatin in live cells and provide enough strength to tether the centromeres together. On the other hand, the adhesion between centromeres being weak and transient, as opposed to being strong and permanent, might be beneficial to the cells by allowing the separation of the centromeres when necessary. Indeed, the centromeres of the secondary replicons disassociate from the centromere of Ch1 just prior to their duplication (11). This dissociation enables the replicated centromeres to translocate to two opposite cell poles instead of being pulled to the same pole by ori1.
In a broader context, eukaryotic centromeres are usually heterochromatin and exist in compartments separated from the transcriptionally active compartments (45). A recent study showed that eukaryotic centromeres also tend to adhere to one another (46). Although the molecular mechanism of centromere clustering in eukaryotes is unknown, it is possible that this is also through direct interactions. We postulate that centromeric clustering is a conserved mechanism for maintaining multipartite genomes both in bacteria and in eukaryotes.
MATERIALS AND METHODS
General methods.
A. tumefaciens strains were derived from strain C58 (47) or 15955 (34). Cells were grown in defined minimal medium (33) (ATGN) or LB broth at 30°C with aeration. In liquid medium, when appropriate, antibiotics or supplements were added at the following concentrations: kanamycin (IB02120; IBI) at 150 μg/mL, carbenicillin (C-103-5; GoldBio) at 25 μg/mL, gentamicin (AC613980010; ACROS Organics) at 150 μg/mL, theophylline (T1633-100G; Sigma) at 2 mM, and AHL (N-3-oxooctanoyl-l-homoserine lactone) (O1764-10MG; Sigma) at 1 μM. Isopropyl-β-d-thiogalactopyranoside (IPTG) (DS102125; Dot Scientific) was added at 0.5 mM for expressing PodJ, PopZ, and GPR fusions or at 0.2 mM for expressing ParB1 and RepBCh2 fusions from pWX970. Antibiotics were doubled when applied on solid medium. B. subtilis strains were derived from the prototrophic strain PY79 (48). Cells were grown in defined rich medium (CH) (49) at 37°C with aeration. Lists of strains, plasmids, oligonucleotides, and next-generation sequencing samples can be found in Table S1 in the supplemental material. Details of strain and plasmid construction can be found in Text S1.
Hi-C.
The detailed Hi-C procedure for A. tumefaciens is the same as that previously described (11, 50). Briefly, exponentially growing cells were cross-linked with 3% formaldehyde at room temperature for 30 min and then quenched with 125 mM glycine. Cells were lysed using Ready-Lyse lysozyme (R1802M; Epicentre), followed by 0.5% SDS treatment. Solubilized chromatin was digested with HindIII for 2 h at 37°C. The digested ends were filled in with Klenow and Biotin-14-dATP, -dGTP, -dCTP, and -dTTP. The products were ligated in dilute reactions with T4 DNA ligase at 16°C for about 20 h. Crosslinks were reversed at 65°C overnight for about 20 h in the presence of EDTA, proteinase K, and 0.5% SDS. The DNA was then extracted twice with phenol-chloroform–isoamylalcohol (25:24:1) (PCI), precipitated with ethanol, and resuspended in 20 μL of 0.1× Tris-EDTA (TE) buffer. Biotin from nonligated ends was removed using T4 polymerase (4 h at 20°C) followed by extraction with PCI. The DNA was then sheared by sonication for 12 min with 20% amplitude using a Qsonica Q800R2 water bath sonicator. The sheared DNA was used for library preparation with the NEBNext UltraII kit (E7645) by following the manufacturer’s instructions for end repair, adapter ligation, and size selection. Biotinylated DNA fragments were purified using 10 μL streptavidin beads. DNA-bound beads were used for PCR in a 50-μL reaction mix for 14 cycles. PCR products were purified using Ampure beads (A63881; Beckman) and sequenced at the Indiana University Center for Genomics and Bioinformatics using a NextSeq 550.
Paired-end sequencing reads were mapped to the combined genome files of A. tumefaciens C58 (NCBI reference sequence GCA_000092025.1) or 15955 (NCBI reference sequence GCA_003666465.1) using the pipeline described previously (50, 51). The A. tumefaciens genome was divided into HindIII restriction fragments, and each read of a read pair was independently mapped onto its corresponding restriction fragment using Bowtie 2.1.0. Only read pairs for which both reads uniquely aligned to the genome were considered in subsequent steps. Based on where on the genome the two reads in the pair are mapped, read pairs were first classified as valid Hi-C products or as nonligation or self-ligation products (51). Only valid Hi-C products were considered below.
To create interaction matrices, the A. tumefaciens genome was divided into 10-kb bins. Valid Hi-C products were then assigned to individual bins (50, 51). Raw Hi-C contact maps can be biased due to the uneven distribution of restriction enzyme sites, differences in GC content, and the mappability of individual reads (51, 52). We therefore normalized raw contact maps using an iterative normalization procedure, implemented using the hiclib library for Python (https://github.com/mirnylab/hiclib-legacy) (51). Essentially, we converted the number of interactions, or read counts, into Hi-C scores by applying the following equation and iteratively repeating it for the resulting contact map after each cycle: mij = mij × (total reads)/(total reads in bin i × total reads in bin j) (51), in which mij represents the contact frequency value at row i and column j of the contact matrix. The iterative procedure was repeated until the maximum relative error of the total number of Hi-C scores in a bin was less than 10−5. Resulting matrices were normalized so that Hi-C scores for each row and column sum to 1. To put ori1 at the center of Ch1, the reference genome of Ch1 starts at 1,400 kb. Subsequent analysis and visualization was done using R scripts that are available upon request.
ChIP-seq.
Chromatin immunoprecipitation (ChIP) for A. tumefaciens and B. subtilis was performed similarly to a previously described protocol (11, 50). Briefly, cells were cross-linked using 3% formaldehyde for 30 min at room temperature and then quenched, washed, and lysed. Chromosomal DNA was sheared to an average size of 250 bp by sonication using a Qsonica Q800R2 water bath sonicator. The lysate was then incubated overnight at 4°C with appropriate antibodies. A volume of 4 μL of anti-ParB1 (11), anti-RepBCh2 (11), or anti-GFP (53) antibodies was added to the lysates and rotated at 4°C overnight. The lysates then were incubated with magnetic protein A Sepharose (28951378; GE Healthcare/Cytiva) for 1 h at 4°C. After washes and elution, the immunoprecipitate was incubated at 65°C overnight to reverse the cross-links. The DNA was further treated with RNase A and proteinase K, extracted with PCI, resuspended in 50 μL 0.1× TE buffer, and used for library preparation with the NEBNext UltraII kit (E7645) and sequenced using the Illumina NextSeq550 platforms.
The sequencing reads were aligned to the combined A. tumefaciens C58 genome (NCBI no. GCA_000092025.1) or B. subtilis PY79 genome (NCBI reference sequence NC_022898.1) using CLC Genomics Workbench (CLC Bio, Qiagen). The mapped result was exported as a .csv file containing genome location and read number for each base pair in the genome. Exported data from ChIP and input samples were each normalized to the total number of reads, and then ChIP enrichment (ChIP/input) was calculated for each base pair. The results were plotted and analyzed using customized R scripts that are available upon request.
WGS.
Exponentially growing cells were collected and frozen in liquid nitrogen for WGS. Qiagen DNeasy kit (69504) was used to extract genomic DNA (gDNA). gDNA was subjected to sonication for 12 min using 20% amplitude. Sonicated gDNA was used for library preparation with the NEBNext UltraII kit (E7645) and sequenced using the Illumina NextSeq550 platforms. The reads were mapped to the combined A. tumefaciens C58 genome (NCBI no. GCA_000092025.1) or B. subtilis PY79 genome (NCBI reference sequence NC_022898.1) using CLC Genomics Workbench (CLC Bio; Qiagen). The mapped result was exported as a .csv file containing genome location and read number for each base pair in the genome. Exported data from WGS samples were normalized to the total number of reads and then plotted using customized R scripts that are available upon request.
Microscopy.
Fluorescence microscopy was performed on a Nikon Ti2E microscope equipped with a Plan Apo 100×/1.4 numeric aperture phase-contrast oil objective and a scientific complementary metal oxide semiconductor camera. Cells were immobilized using 2% agarose pads containing growth medium. Images were cropped and adjusted using MetaMorph software (Molecular Devices). Final figures were prepared in Adobe Illustrator.
Image analysis.
Image analyses were performed using the MathWorks MATLAB-based program Oufti (54). Cell outlines were detected using the cellDetection module. Localizations of fluorescent foci were identified using the spotDetection module. Pre-Gaussian parameters were set as the following: wavelet scale = 0, low pass = 2, spot radius = 2, int. threshold = 0.4, min region size =4, fit radius = 2. Post-Gaussian parameters were minHeight = 0, minWidth =1.9, maxWidth = 10, Adjusted Squared Error = 0. The same parameters were used for all strains. After cellDection and spotDetection, manual inspection was employed to remove the cell meshes with wrongly detected cell outline or spots. The data were further analyzed and plotted in MATLAB.
Immunoblot analysis.
Western blotting was performed similar to previously described (53). Samples in sample buffer (1610737; Bio-Rad) were heated for 5 min at 95°C and vortexed vigorously for 30 s before loading to denature the proteins and shear the genomic DNA. Proteins were separated by precast 4 to 20% polyacrylamide gradient gels (4561096; Bio-Rad) and electroblotted onto mini-polyvinylidene difluoride (PVDF) membranes using Bio-Rad Transblot Turbo system and reagents (1704156; Bio-Rad). The membranes were blocked in 5% nonfat milk in phosphate-buffered saline (PBS) with 0.5% Tween 20 and then probed with anti-ParB1 (1:10,000) (11) or anti-RepBCh2 (1:10,000) (11) diluted into 3% bovine serum albumin (BSA) in 1× PBS–0.05% Tween 20. Primary antibodies were detected using Immun-Star horseradish peroxidase-conjugated goat anti-rabbit antibodies (1705046; Bio-Rad) and Western Lightning Plus ECL chemiluminescence reagents as described by the manufacturer (NEL1034001; Perkin Elmer). The signal was captured using the ProteinSimple Fluorchem R system.
BACTH.
BACTH was carried out as previously described using Escherichia coli strain BTH101 (39). ParB1 and RepBCh2 were fused to T18 and T25 of adenylate cyclase. If the proteins interact, these fusion proteins will generate a functional adenylate cyclase leading to the expression of lacZ and blue colonies on 5-bromo-4-chloro-3-indolyl-β-d-galactopyranoside (X-Gal) plates. Strains were grown to stationary phase in LB containing Amp at 50 μg/mL, Kan at 25 μg/mL, and IPTG at 500 μM; 5 μL of cells was spotted on LB agar plates containing Amp at 50 μg/mL, Kan at 25 μg/mL, IPTG at 500 μM, and X-Gal at 40 μg/mL. Plates were incubated at 30°C.
Antibody purification and cross-linking to protein A beads.
A volume of 20 mL of anti-ParB1 or anti-RepBCh2 serum (11) was purified using Affigel-15 (1536051; Bio-Rad), eluted in 100 mM glycine, pH 2.5, and dialyzed into 1× PBS as previously described (55). The purified antibodies then were cross-linked to 1 mL magnetic protein A Sepharose beads (28951378; GE Healthcare/Cytiva) by incubating antibodies and Sepharose beads in the presence of 5 mM disuccinimidyl suberate (Pierce) for 30 min (56). The reaction was quenched using 100 mM Tris, pH 7.5. The antibody-Sepharose beads were washed with 100 mM glycine, pH 2.5, and resuspended in 1 mL PBS. Detailed procedures of downstream pulldown experiments are described in the legends of Fig. S6B and C. A volume of 50 μL antibody-Sepharose beads was used for each assay.
Quantification of the ori1-ori2 interactions.
In Fig. S4A to D, interactions between the ori1 (bin122 to bin163) and ori2 (bin363 to bin402) regions were quantified. Hi-C interaction scores in the rectangular region shown in orange were summed up and multiple by two to count the mirrored region across the primary diagonal. The interactions in the wild-type C58 (Fig. 3B and Fig. S4A) were set to 100%. The interactions in ΔrepBCh2 (AtWX089) (11) (Fig. 3C and Fig. S4B) were set as the background (0%). Interactions in the mutants were calculated relative to the wild type after subtracting the background.
Quantification of the interchromosomal interactions along the length.
In Fig. S4A to D, interchromosomal interactions along the chromosome arms were calculated by adding up the Hi-C interaction scores in the blue area and then multiplying by two (Fig. 3B and C and Fig. S4A and B). Specifically, the two overlapping parallelogram regions have their vertices located at (13, 285), (63, 285), (220, 492), (270, 492) and (13, 492), (63, 492), (220, 285), (270, 285) on the Hi-C matrices, respectively, but with the ori1-ori2 interactions in the orange square region removed. The interactions in the wild-type C58 (Fig. 3B and Fig. S4A) were set at 100%. The interactions in ΔrepBCh2 (AtWX089) mutant (11) (Fig. 3C and Fig. S4B) were set as the background (0%). Interactions in the mutants were calculated relative to the wild type after subtracting the background.
Data availability.
Hi-C, ChIP-seq, and whole-genome sequencing data were deposited in the Gene Expression Omnibus (accession no. GSE196319).
ACKNOWLEDGMENTS
We thank the Wang and Fuqua labs for discussions and support; the Indiana University Center for Genomics and Bioinformatics for assistance with high-throughput sequencing; Ivan Surovtsev for advice on image analysis; Ankur Dalia, Patricia Zambryski, John Zupan, and Pam Brown for strains and plasmids; and Dan Kearns for critical reading of the manuscript.
Support for this work comes from National Institutes of Health R01GM141242 (X.W.) and R01GM120337 (C.F.).
Z.R. and X.W. designed the study and performed Hi-C experiments and analyses. Z.R. performed ChIP-seq, whole-genome sequencing, and analyses. Z.R. and Q.L. did microscopy and image analysis. Z.R., I.S.B., E.W., and C.F. constructed plasmids and strains. Z.R. and X.W. wrote the manuscript, with input from Q.L. and C.F.
We declare no competing interests.
Contributor Information
Xindan Wang, Email: xindan@indiana.edu.
Lotte Sägaard-Andersen, Max Planck Institute for Terrestrial Microbiology.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Hi-C, ChIP-seq, and whole-genome sequencing data were deposited in the Gene Expression Omnibus (accession no. GSE196319).