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Exploring the virulence gene interactome with CRISPR/dCas9 in the human malaria parasite

Abstract Mutually exclusive expression of the var multigene family is key to immune evasion and pathogenesis in Plasmodium falciparum, but few factors have been shown to play a direct role. We adapted a CRISPR‐based proteomics approach to identify novel factors associated with var genes in their natural chromatin context. Catalytically inactive Cas9 (“dCas9”) was targeted to var gene regulatory elements, immunoprecipitated, and analyzed with mass spectrometry. Known and novel factors were enriched including structural proteins, DNA helicases, and chromatin remodelers. Functional characterization of Pf ISWI, an evolutionarily divergent putative chromatin remodeler enriched at the var gene promoter, revealed a role in transcriptional activation. Proteomics of Pf ISWI identified several proteins enriched at the var gene promoter such as acetyl‐CoA synthetase, a putative MORC protein, and an ApiAP2 transcription factor. These findings validate the CRISPR/dCas9 proteomics method and define a new var gene‐associated chromatin complex. This study establishes a tool for targeted chromatin purification of unaltered genomic loci and identifies novel chromatin‐associated factors potentially involved in transcriptional control and/or chromatin organization of virulence genes in the human malaria parasite.


Introduction
In the malaria parasite Plasmodium falciparum, antigenic variation is key to evasion of the immune system and persistence of infection in the human host. The P. falciparum variant surface antigen erythrocyte membrane protein 1 (PfEMP1) is a key component in this process and is encoded by the~60-member var gene family in the haploid genome (reviewed in (Scherf et al, 2008)). A system of mutually exclusive expression is used to activate only a single var gene at a time, but occasional switching occurs to facilitate host immune system evasion. Unlike that in other parasites, antigenic variation in P. falciparum is under epigenetic control (reviewed in (Cortés & Deitsch, 2017)). The single active var gene is associated with euchromatin while all other var genes are kept transcriptionally silent via heterochromatin. Functional studies of orthologous histone writers, readers, and erasers have implicated several chromatin-associated proteins in mutually exclusive var gene transcription including heterochromatin protein 1 (HP1), the histone deacetylases HDA2 and silent information regulator 2 (SIR2a and b), and the histone methyltransferases SET2 and SET10 Flueck et al, 2009;Pérez-Toledo et al, 2009;Tonkin et al, 2009;Volz et al, 2012;Jiang et al, 2013;Coleman et al, 2014;Ukaegbu et al, 2014). Across the intraerythrocytic developmental cycle (IDC) and other stages, HP1 facilitates transcriptional silencing of all but one var gene via binding to trimethylation of histone H3 at lysine 9 (H3K9me3) (Flueck et al, 2009;Lopez-Rubio et al, 2009;Pérez-Toledo et al, 2009;Fraschka et al, 2018;Zanghì et al, 2018). The histone modifications H3K9ac and H3K4me2/3 and the histone variants H2A.Z and H2B.Z were shown to be enriched at the active var gene promoter (Lopez-Rubio et al, 2007;Petter et al, 2013), but the molecular machinery involved in var gene activation, such as histone-modifying enzymes or nucleosome remodelers, has yet to be elucidated.
These epigenetic regulatory proteins may be recruited via DNA regulatory elements. All var genes have the same basic genetic structure: a 5 0 upstream promoter followed by exon I (encodes the polymorphic extracellular domain of the PfEMP1), a relatively conserved intron, and exon II (encodes the conserved intracellular domain; Fig 1A). Both the promoter and the intron have been implicated in mutually exclusive transcription control (reviewed in (Guizetti & Scherf, 2013)). Early studies suggested that the var gene promoter could drive transcription unless paired with a downstream var gene intron, which had a repressive effect that was purportedly due to its own bidirectional promoter activity (Calderwood et al, 2003;Gannoun-Zaki et al, 2005;Dzikowski et al, 2006Dzikowski et al, , 2007Frank et al, 2006;Epp et al, 2009). Conversely, long non-coding RNAs (lncRNA) originating from the var gene intron (Fig 1A) have been implicated in the transcriptional activation of var genes (Amit-Avraham et al, 2015). While deletion of the endogenous var gene intron did not block transcriptional silencing or activation of the targeted var gene, it did lead to higher rates of var gene switching (Bryant et al, 2017). Thus, investigating the protein cohort that binds to either the var gene promoter or intron could provide new mechanistic insight into var gene regulation.
Coordination of the var genes, located in subtelomeric (upsA and upsB type) or central chromosomal (upsC type) arrays across thirteen chromosomes (Fig 1B), is likely achieved via spatial positioning within the nucleus. Regardless of genome location, var genes form heterochromatic clusters at the nuclear periphery, with the single active var gene spatially separated from the rest (Duraisingh et al, 2005;Ralph et al, 2005;Lopez-Rubio et al, 2009;Lemieux et al, 2013;Ay et al, 2014). This clustering may also facilitate the recombination observed among the polymorphic members of the var gene family during the asexual replicative cycle, which generates antigenic diversity via the formation of chimeric genes (Bopp et al, 2013;Claessens et al, 2014). While the RecQ DNA helicase PfWRN was shown to be important for promoting genome stability and preventing aberrant recombination between var genes, the molecular mechanism behind normal mitotic recombination of var gene members has not been elucidated (Claessens et al, 2018). The telomere repeat-binding zinc finger protein (TRZ) and some members of the DNA/RNA-binding Alba family of proteins or the Apetala2 (ApiAP2) family of transcription factors have been shown to bind to telomeres, subtelomeric regions, or potential var gene regulatory elements; however, a direct role for these proteins in transcriptional control, organization, or recombination of var genes has not been demonstrated (Flueck et al, 2010;Zhang et al, 2011;Chêne et al, 2012;Goyal et al, 2012;Bertschi et al, 2017;Martins et al, 2017;Sierra-Miranda et al, 2017). In addition, actin has been linked to the nuclear positioning and thus transcriptional regulation of var genes via binding to the conserved var gene intron (Zhang et al, 2011). Importantly, proteins such as CCCTC binding factor (CTCF) or lamins, involved in higher-order chromosome organization in metazoans, are absent in P. falciparum (Batsios et al, 2012;Heger et al, 2012).
Most studies of var gene biology have relied on in silico identification of factors found to be important for epigenetic regulation in other eukaryotic systems; however, P. falciparum has already shown important differences to other model organisms with regard to epigenetics (reviewed in (Cortés & Deitsch, 2017)). In addition, most studies investigating proteins that bind to specific DNA motifs have used oligo-based in vitro approaches such as gel shift or immunoprecipitation. Thus, a new, unbiased approach is needed to identify novel var gene-interacting factors that contribute to transcriptional regulation and organization of var genes.
To this end, we adapted a recently developed CRISPR technology for isolating specific genomic loci with a tagged, nuclease-deficient Cas9 (dCas9) Waldrip et al, 2014;Liu et al, 2017;Myers et al, 2018). Importantly, this technique identifies interactions taking place in a natural spatio-temporal chromatin context and does not require genetic modification of the targeted locus. In this study, we show specific dCas9 enrichment at targeted var gene DNA regulatory elements with chromatin immunoprecipitation followed by sequencing (ChIP-seq). dCas9 immunoprecipitation followed by liquid chromatography-mass spectrometry (IP LC-MS/ MS) confirmed previously identified var gene interactors and revealed enrichment of several novel chromatin-associated factors possibly involved in transcriptional control and/or chromatin organization of var genes. Using inducible knockdown, ChIP-seq, and proteomics, we functionally characterize the promoter-associated putative nucleosome remodeler, PfISWI, and demonstrate its role in var gene transcriptional activation.

Targeting dCas9 to var genes
To identify factors associated with putative var gene DNA regulatory elements in an unbiased manner, we adapted the CRISPR/dCas9based engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) method developed in  to P. falciparum. As both the var promoter and intron likely contain regulatory protein-binding elements, a tagged dCas9 was directed by an optimized single guide RNA (sgRNA) to either feature ( Fig 1A). As a consequence of (i) the need for a GC-rich sequence and (ii) the homology of the promoter and intronic sequences across the var gene family, we designed an sgRNA for either genetic feature that targets multiple var loci. For the promoter sgRNA, we identified a 20-base-pair (bp) sequence flanking a protospacer adjacent motif (PAM) that was~40 bp upstream of the translation start site of 19 var genes (Table 1, Table EV1, and Fig EV1A). For the intron sgRNA, we identified a 20-bp sequence flanking a PAM that was in region III (Calderwood et al, 2003) of the intron of 13 var genes (Table 1, Table EV2, and Fig EV1C). For the promoter and intron sgRNAs, the target sequences were exclusive to upsA/B, upsB, upsB/C, and upsC type var genes (Fig 1B and Tables EV1 and EV2). There was only a single off-target sequence predicted for the intron sgRNA in the upstream region of PF3D7_0400200, which is a var pseudogene with a var exon II-like sequence.
To create P. falciparum strains expressing var gene-targeted dCas9, we generated two types of plasmids-pUF1_dCas9-3HA and pL7_var_IP-based on the two-plasmid system originally designed for CRISPR/Cas9 in P. falciparum (Ghorbal et al, 2014). pUF1_dCas9-3HA leads to expression of a hemagglutinin-tagged (HA) catalytically inactive Cas9 containing the RuvC and HNH mutations originally described in Qi et al (2013). The pL7 plasmid encodes a sequence-optimized sgRNA described in Dang et al (2015). A control plasmid (pL7_Control_IP) was used to determine background dCas9 binding to the genome, as it generates a non-specific sgRNA that does not have a predicted target site in the P. falciparum 3D7 genome (Table 1). A bulk culture of 3D7 parasites was transfected with pUF_dCas9-3HA and either pL7_Control_IP, pL7_varPromoter_IP, or pL7_varIntron_IP. Western blot analysis of the cytoplasmic, nuclear (non-chromatin), and chromatin fractions showed that targeted dCas9 was most enriched in the chromatin fraction, and immunoprecipitation of dCas9 from the chromatin fraction with an anti-HA antibody resulted in a robust enrichment of the tagged dCas9 ( Fig 1C). The non-targeted dCas9 was present in the nuclear and chromatin fractions ( Fig EV1D).
Genome-wide binding of intron-and promoter-targeted dCas9 is specific and robust To investigate the specificity of var gene-targeted dCas9 binding, we performed ChIP-seq in synchronized parasites cross-linked at 14 h post-invasion (hpi) of the host red blood cells, the ring stage during which var gene transcription is highest. Analysis of the ChIP-seq data revealed that var promoter and intron sgRNAs led to specific and significant dCas9 enrichment at most intended target sequences (Fig 2A and Tables EV1 and EV2) while the non-targeted dCas9 control showed no specific enrichment (Fig EV2A). For the promoter sgRNA, a significant peak of dCas9 was found at 17 out of 19 predicted target sites, with only one major unpredicted off-target binding event at PF3D7_1209900 (Figs 2A and EV1B, and  Table EV1). For the intron sgRNA, a significant peak of dCas9 was found at 13 out of 16 predicted target sites and the predicted offtarget sequence PF3D7_0400200 (Fig 2A and Table EV2). Two additional peaks of dCas9 were detected with the var intron-targeted sgRNA at unpredicted upsB var gene introns (PF3D7_0500100 and A Schematic of a representative var gene with two exons flanking an intron. Transcription originates from the promoter (sense) and intron (sense and antisense).
Specific sgRNAs direct dCas9 to either the promoter region (red) or intron (blue). Antibodies were used to isolate the dCas9 and bound genomic regions via a 3xHA tag (yellow star). B Schematic of var genes throughout the Plasmodium falciparum genome targeted with intron-(blue), promoter-(red), or both intron and promoter-targeted (green) dCas9. Chromosomes are represented with gray bars, and chromosome numbers are indicated in roman numerals. var gene ups type is indicated on the chromosome, and var gene ID (excluding the preceding chromosome number) is listed to the left of its position on the chromosome. Direction of var gene transcription is indicated with an arrowhead. C Western blot analysis of a dCas9 immunoprecipitation experiment in the promoter-targeted strain at ring stage. Levels of dCas9 and histone H3 in the cytoplasmic (Cyt), nuclear (excluding chromatin, Nuc), and chromatin (Ch) fractions are revealed with anti-HA and anti-H3 antibodies, respectively. dCas9 is enriched in the immunoprecipitated fraction (IP) compared to the unbound supernatant (SN) and input (i.e., chromatin fraction) of the IP. Molecular weights are shown to the right.
Source data are available online for this figure.
Comparison of the ChIP-seq data of the var gene-targeted dCas9 and non-targeted dCas9 control highlights the specificity of the method from the most statistically significant dCas9 peak (enrichment ratio = 123.9, q = 2.22 × 10 À289 at the promoter of PF3D7_0413100) to the least significant dCas9 peak (enrichment ratio = 42.5, q = 8.37 × 10 À4 at the intron of PF3D7_1240900 ; Fig 2B and Tables  EV1 and EV2). dCas9 enrichment was approximately two-fold higher at promoter sgRNA-targeted sites (average ChIP/Input = 20.18) than intron sgRNA-targeted sites (average ChIP/Input = 8.9; Tables EV1 and EV2). However, because the var gene intronic sequence is AT-rich relative to the var gene promoter sequence (Table 1 and Fig EV1A and C), it could be under-represented in the sequencing data. Regardless, the dCas9 ChIP-seq protocol we present here could be used to determine genome-wide specificity and efficacy of sgRNAs for use in traditional CRISPR/Cas9 genome editing.
To determine the var gene transcriptional profile in the strains expressing dCas9, we performed sequencing of mRNA (RNA-seq) from clones and non-clonal bulk parasite cultures at 14 hpi. In clones of the intron-and promoter-targeted dCas9 strains, a single var gene was predominantly transcribed, suggesting that mutually exclusive expression of the var gene family was unaffected by dCas9 binding (Fig EV2B). RNA-seq of non-clonal bulk parasite cultures of the promoter-, intron-, and non-targeted dCas9 strains showed synchronicity at 14 hpi ( Fig EV2C) and that multiple var genes, both targeted and untargeted, were transcribed in the population ( Fig EV2D). mRNA from the var genes targeted at their promoters with dCas9 was, in general, present at higher levels in the promotertargeted dCas9 strain than in the non-targeted dCas9 strain, suggesting that parasites in which dCas9 was able to more readily bind to the euchromatic promoter were selected for during transfection (Fig EV2D, top). To determine if mRNA was transcribed from var genes bound by dCas9 at their promoter, we performed RNA immunoprecipitation (RIP) with dCas9 in the promoter-targeted dCas9 strain in ring stage parasites. Indeed, RNA transcribed from var genes bound by dCas9 at their promoters was highly enriched in the promoter-targeted dCas9 RIP (Figs 2C and EV2E, Table EV3).

Validation of the enChIP method
Having demonstrated specificity of dCas9 binding with ChIP-seq, we set out to identify proteins that associate with either the var gene promoter or intron. We performed dCas9-3HA IP LC-MS/MS with the var gene promoter-and intron-targeted dCas9 and non-targeted dCas9 strains at 14 hpi. A label-free quantification approach allowed for comparison of protein enrichment between each sample using low amounts of input material. This led to the quantification of 1,413 total P. falciparum proteins (false discovery rate [FDR] of 1%, number of peptides used ≥ 3; Source Data for Tables EV5-8], with dCas9 being the most abundant protein in the LC-MS/MS analysis for each immunoprecipitation. While dCas9 levels were similar in the var promoter-and intron-targeted immunoprecipitations (promoter/intron ratio = 1.04, P = 0.15; Figs 3A and B, EV3A, Table EV4), dCas9 levels were significantly higher in the nontargeted control when compared to the intron-(ratio = 3.16, P = 1.88 × 10 À62 ) or promoter-targeted dCas9 samples (ratio = 3.07, P = 5.64 × 10 À86 ; Figs 3B and EV3A, Table EV4). Because we found that the number of dCas9 peptides correlated with total proteins identified ( Fig EV3A, Table EV4), the nontargeted dCas9 served as an extremely stringent control of background binding.
Thus, we first compared the promoter-and intron-targeted dCas9 data sets for a more unbiased analysis (see Materials and Methods for details of analysis). For most var genes, the promoter region is several thousand base pairs upstream of the intron. Thus, our method provides enough resolution to separate factors specifically bound to the promoter or intron, as the average DNA fragment length for the immunoprecipitation was 2 kilobases (Fig EV3B). There were 151 significantly enriched proteins (ratio ≥ 1.5, adjusted P-value ≤ 0.05) in the var promoter-targeted dCas9 immunoprecipitation (Table EV5) and 115 in the var intron-targeted dCas9 immunoprecipitation (Table EV6). Providing strong validation that our method was successful, the AP2 domain-containing SPE2-interacting protein (SIP2, PF3D7_0604100) was the most highly enriched var promoter-bound protein in the comparison with the introntargeted dCas9 (ratio = 11.94, P = 0.016, Fig 3A, Table EV5) and the second most highly enriched in the comparison with the nontargeted dCas9 control (ratio = 3.93, P = 0.02, Fig 3B, Table EV7). SIP2 was shown to bind to SPE2 DNA motifs upstream of subtelomeric var genes, although the role of this protein has not been elucidated (Flueck et al, 2010). Indeed, the promoter-targeted dCas9 binds to subtelomeric var genes with upstream SPE2/SIP2 sites ( Fig EV3C, Table EV1).
When compared to the promoter-targeted dCas9, the introntargeted dCas9 was enriched in the Alba DNA/RNA-binding proteins 1-3 (ratio = 1.57, P = 6.6 × 10 À4 for PF3D7_0814200; ratio = 1.52, P = 2.4 × 10 À5 for PF3D7_1346300; ratio = 1.62, P = 4.22 × 10 À6 for PF3D7_1006200; Fig 3A, Table EV6). The members of the Alba family have been shown to localize to the nuclear periphery and bind to subtelomeric regions as well as a var intronic sequence (Zhang et al, 2011;Chêne et al, 2012;Goyal et al, 2012). In addition to chromatin-associated proteins, the intron-targeted dCas9 sample was enriched in several cytoskeletal proteins such as a putative actin-related protein ARP4a (PF3D7_1422800, ratio = ∞), Table 1. sgRNA characteristics for dCas9 targeting. Shown are the sequences (5 0 -3 0 ), targeted DNA strand, GC content, and number of on-target (intended) and off-target sequences predicted for each sgRNA.    ª 2020 The Authors Molecular Systems Biology 16: e9569 | 2020 myosin A (PF3D7_1342600, ratio = 1.58, P = 7.65 × 10 À5 ), coronin (PF3D7_1251200, ratio = 1.78, P = 4.76 × 10 À5 ), and profilin (PF3D7_0932200, ratio = 1.52, P = 2.57 × 10 À2 ; Fig 3A, Table EV6). The same trend of cytoskeletal protein enrichment can be seen in the intron-versus non-targeted dCas9 comparison (Table EV8). Gene Ontology (GO) analysis showed that proteins that were significantly enriched in the intron-targeted dCas9 immunoprecipitation compared to both the promoter-and non-targeted dCas9 immunoprecipitations are significantly represented by the biological function category of "cell motility" (P = 0.0018, Table EV9). Indeed, actin has been implicated in localizing var genes to the nuclear periphery by binding to the var gene intron (Zhang et al, 2011). Thus, our methodology was validated by the identification of specific proteins previously shown to bind to var gene upstream regions or introns such as SIP2 and the Alba family.
The var promoter is enriched in DNA replication and repair machinery Gene Ontology analysis also showed that proteins that were significantly enriched in the promoter-targeted dCas9 immunoprecipitation compared to both the intron-and non-targeted dCas9 immunoprecipitations were significantly represented by the biological function categories of "DNA replication initiation" (P = 1.77 × 10 À5 ) and "DNA replication" (P = 1.3 × 10 À4 ; Table EV10). When compared to the intron-or non-targeted dCas9 samples, the promoter-targeted dCas9 sample was significantly enriched in proteins involved in DNA replication and repair such as DNA helicase 60 (PF3D7_1227100), minichromosome maintenance protein complex subunits MCM2,4,6 and 7 (PF3D7_1417800, 1317100, 1355100, 0705400), replication factor C subunit 4 (PF3D7_1241700), chromatin assembly complex subunit CAF2 (PF3D7_1329300), and MutS homologue proteins MSH2,6 (PF3D7_1427500 and 0505500; Fig 3B, Tables EV5 and EV7). In P. falciparum, DNA helicase 60 was able to unwind double-stranded DNA in both directions and has been implicated in DNA replication (Pradhan et al, 2005). In other eukaryotic systems, MCMs 2-7 form a hexameric DNA helicase and are loaded onto origins of replication by the origin recognition complex to form the basis of a prereplication complex in G1 phase of the cell cycle (Ansari & Tuteja, 2012). The RFC complex is also involved in DNA replication initiation while MSH2 and MSH6 form a heterodimer to recognize DNA mismatches (Kunkel & Erie, 2005;Ohashi & Tsurimoto, 2017). CAF2 is a putative subunit of the CAF-1 chromatin assembly factor complex that assembles nucleosomes onto DNA during DNA replication and repair (Volk & Crispino, 2015). The processes of DNA replication and repair have not been well characterized in P. falciparum, but as DNA replication has been reported to begin after 24 hpi (Matthews et al, 2018), it is unlikely that it would be taking place when the samples in this current study were collected (14 hpi). Protein components of the DNA replication and repair machinery were found to bind to the SPE2 DNA motif, but at a later stage of the IDC during DNA replication (Flueck et al, 2010). Thus, it is intriguing that these factors are associated with the var gene promoter during the G1 phase of the cell cycle.

Identification of novel var gene-associated factors involved in chromatin structure
In addition to DNA replication and repair components, GO analysis showed that proteins that were significantly enriched in the promoter-targeted dCas9 immunoprecipitation compared to both the intron-and non-targeted dCas9 immunoprecipitations are significantly represented by the biological function categories of "chromatin assembly or disassembly" (P = 1.77 × 10 À5 ) and "chromosome organization" (P = 1.94 × 10 À5 ; Table EV10). These proteins include histone H2A.Z (PF3D7_0320900) and heterochromatin protein 1 (PF3D7_1220900), which have been shown to associate with the active and silent var gene promoters, respectively ( Fig 3A  and B) (Flueck et al, 2009;Petter et al, 2011). These data suggest that our method simultaneously purifies active and silent var gene promoters.
When compared to the intron-targeted dCas9 immunoprecipitation, the promoter-targeted dCas9 immunoprecipitation was enriched in several proteins involved in chromatin organization including a putative microrchidia (MORC) family protein (PF3D7_1468100, ratio = 2.13, P = 4.58 × 10 À11 ), a SWIB/MDM2 domain-containing protein (PF3D7_0518200, ratio = 1.91, P = 9.67 × 10 À4 ), and three putative SNF2 domain-containing ATP-dependent chromatin remodelers: chromodomain-helicase-DNA-binding protein 1 ([CHD1, PF3D7_1023900] ratio = 2.8, P = ◀ Figure 2. ChIP sequencing shows specific enrichment of dCas9 at targeted var gene introns and promoters. A Circos plots of ChIP-seq data showing genome-wide enrichment of dCas9 in ring stage parasites. The 14 chromosomes are represented circularly by the outer gray bars, with chromosome number indicated in roman numerals and chromosome distances indicated in Arabic numerals (Mbp). Enrichment for intron-or promotertargeted dCas9 (normalized to non-targeted dCas9) is shown as average reads per million (RPM) over bins of 1,000 nt. The maximum y-axis value is 3,000 RPM for the promoter-targeted dCas9 (rings represent increments of 500) and 400 RPM for the intron-targeted dCas9 (rings represent increments of 66.7). var genes are represented by red bars. An asterisk indicates an unintended binding event. One replicate was performed for each strain. Peak quantification for promoter-and intron-targeted dCas9 ChIP-seq can be found in Tables EV1 and EV2, respectively. B ChIP-seq data show enrichment of dCas9 in strains at ring stage expressing non-targeted "Control" (gray), var intron-targeted (blue), or var promoter-targeted (red) sgRNAs. Genome location is indicated at the top of each panel. The x-axis is DNA sequence, with genes represented by black boxes indented to delineate introns and labeled with white arrowheads to indicate transcription direction. The y-axis is input-subtracted ChIP enrichment. q-values for promoter-targeted dCas9 peaks shown are 2.22 × 10 À289 for PF3D7_0413100 and 7.07 × 10 À257 for PF3D7_1240400. q-values for intron-targeted dCas9 peaks shown are 2.03 × 10 À76 for PF3D7_412700, 6.81 × 10 À46 for PF3D7_0412900, 1.53 × 10 À62 for PF3D7_0413100, and 8.37 × 10 À4 for PF3D7_1240900. One replicate was performed for each strain. Peak quantification for promoter-and intron-targeted dCas9 ChIP-seq can be found in Tables EV1 and EV2, respectively. C ChIP-seq (red) and RIP-seq (green) data show enrichment of DNA and RNA, respectively, from var genes in the promoter-targeted and non-targeted "Control" dCas9 immunoprecipitation from non-clonal bulk population of ring stage parasites. Genome location is indicated at the top of each panel. The x-axis is DNA sequence, with genes represented by black boxes indented to delineate introns and labeled with white arrowheads to indicate transcription direction. The y-axis is input-subtracted dCas9 ChIP enrichment in the var gene promoter-targeted dCas9 strain (red), dCas9 RIP enrichment normalized to IgG control in the var gene promoter-targeted dCas9 strain or non-targeted "Control" dCas9 strain (green), or var gene transcript levels in the promoter-targeted dCas9 strain (RPKM, gray). One replicate was performed for ChIP-seq and RNA-seq, and one replicate was performed for HA and IgG control RIP-seq. ChIP-seq peak quantification can be found in Table EV1, and RIP-seq quantification can be found in Table EV3. 1.93 × 10 À8 ), SNF2L (PF3D7_1104200, ratio = 1.87, P = 1.21 × 10 À5 ), and imitation switch ([ISWI, PF3D7_0624600] ratio = 1.97, P = 1.02 × 10 À20 ; Fig 3A and Table EV5). In other eukaryotes, MORC proteins are able to topologically constrain DNA, which can lead to gene silencing via chromatin compaction (Koch et al, 2017;Kim et al, 2019). The SWIB domain can be found in proteins associated with the SWI/SNF chromatin-remodeling complex (Brownlee et al, 2015). In other eukaryotes, SWI/SNF, CHD1, and ISWI are chromatin-remodeling enzymes that use ATP hydrolysis to alter interactions between nucleosomes and DNA, leading to changes in chromatin organization/structure and accessibility to underlying DNA regulatory elements (reviewed in (Mueller-Planitz et al, 2013)). As such, these remodelers play important roles in chromosome structure, transcription regulation, and DNA replication, recombination, and repair (reviewed in (Erdel & Rippe, 2011;Narlikar et al, 2013)). While the domain compositions of PfCHD1 and PfSNF2L are fairly conserved compared to those in other eukaryotes, the putative PfISWI and PfMORC protein are more divergent (Fig EV3D and E). Comparison of the PfISWI amino acid sequence to those of other SNF2 domain-containing chromatin remodelers revealed a divergence in its SNF2 domain as well as the rest of the protein (Fig EV3D). PfISWI contains several zinc finger motifs and the characteristic N-terminal SNF2 ATPase and C-terminal helicase domains, but does not contain chromo-, bromo-, SANT, or SLIDE domains (Fig EV3D). PfMORC contains a GHKL-type ATPase/kinase domain and coiled-coil domains similar to MORC proteins in other eukaryotes, but lacks the characteristic S5 fold domain believed to be important for its function in DNA compaction/loop formation ( Fig EV3E) (Koch et al, 2017). However, PfMORC does contain an N-terminal Kelch-type beta propeller, which seems to be unique to apicomplexan MORC proteins (Iyer et al, 2008).
Using CRISPR/Cas9, we attempted to epitope tag and/or knock out several of the most highly/significantly enriched factors at the var gene promoter such as ISWI, CHD1, MORC, MSH6, and CAF2 (Ghorbal et al, 2014). We were only successful in achieving an inducible knockdown system with ISWI, where sequences encoding a 3× hemagglutinin (3HA) tag followed by a glmS ribozyme (Prommana et al, 2013) were inserted at the 3 0 end of the corresponding gene, PF3D7_0624600. We performed immunoprecipitation followed by mass spectrometry of ISWI-3HA and found significant overlap ( Fig EV3F) between ISWI-associated proteins and those enriched in the var gene promoter-targeted dCas9 IP LC-MS/MS analysis, including MCM2-4,6,7, acetyl-CoA synthetase (ACS, PF3D7_0627800), the putative MORC family protein, and an ApiAP2 protein (PF3D7_1107800) that was shown to strongly associate with PfMORC in a recent protein interaction screen (Hillier et al, 2019) (Fig 3C and D; Tables EV5,  EV7, EV11).
These results provide further experimental support for the efficacy of the CRISPR/dCas9 chromatin purification method. ISWI also associates with various transcriptional co-repressors and co-activators such as histone deacetylase 1 (HDAC1) and GCN5, respectively (Table EV11). These data suggest that ISWI may perform specific chromatin-related functions via different binding partners.

ISWI is a transcriptional activator involved in var gene regulation
Because our dCas9 immunoprecipitation-proteomics approach did not distinguish between active and silent var gene promoters, functional characterization allowed us to unequivocally determine the role of ISWI in var gene regulation. As we were unable to achieve gene knockout, we used a gene knockdown (KD) approach, which allowed for the study of mutually exclusive expression in a clonal parasite population. Addition of glucosamine induced self-cleavage of the ribozyme and KD of ISWI at the protein level to an extent that did not affect growth and cell cycle progression (Figs 4A and EV4A).
A clone of ISWI-3HA-ribo was synchronized, glucosamine was added, and parasites were harvested 24 h later during ring stage, when var gene expression is at its highest. We performed RNA-seq and compared the data to the microarray time course data in  (Data ref:  as in Lemieux et al (2009), which provided a statistical estimation of cell cycle progression at 12 hpi in both control and glucosamine-treated parasites ( Fig EV4B). These data suggest that any differences in transcription were due to ISWI KD and not differences in cell cycle progression.
A Volcano plot representation of label-free quantitative proteomic analysis of P. falciparum proteins present in intron-(left) and promoter-targeted (right) dCas9 immunoprecipitations. Each dot represents a protein, and its size corresponds to the sum of peptides from both conditions used to quantify the ratio of enrichment. For the main volcano plot, x-axis = log 2 (fold-change), y-axis = Àlog 10 (P-value), horizontal yellow line indicates adjusted P-value = 0.05, and vertical yellow lines indicate absolute fold-change = 1.5. Side panels indicate proteins uniquely identified in either sample (y-axis = number of peptides per 100 amino acids). dCas9 protein is highlighted in green for reference. Two replicates were used for the promoter-targeted dCas9, and four replicates were used for the intron-targeted dCas9. Fold enrichment and adjusted P-values for each protein highlighted in red (promoter) and blue (intron) can be found in Tables EV5 and EV6, respectively. B Correlation plot of label-free quantitative proteomic analysis of P. falciparum proteins enriched in promoter-targeted (top right quadrant in red) versus non-targeted control (top left quadrant in gray) or intron (bottom right quadrant in blue) dCas9 immunoprecipitations. Each dot represents a protein, and its size corresponds to the sum of peptides from both conditions used to quantify the ratio of enrichment. The x-axis = log 2 (fold-change[promoter/non-targeted control]) and y-axis = log 2 (fold-change[promoter/intron]). dCas9 protein is highlighted in green for reference. Two replicates were used for the promoter-targeted dCas9, and four replicates were used for the intron-targeted and non-targeted dCas9. Fold enrichment and adjusted P-values can be found for each protein highlighted in red (promoter) in Tables EV5 (intron comparison) and EV7 (control comparison) and for each protein highlighted in blue (intron) in Tables EV6 (promoter comparison)  Indeed, glucosamine addition resulted in a significant knockdown (~50%, q = 6.71 × 10 À10 ) of iswi transcript levels (Fig EV4C  top, Table EV12) and a significant over-representation of downregulated genes (562) compared to up-regulated genes (261; chisquare test P < 0.0001, Fig 4B, Table EV12). GO analysis showed that down-regulated genes are most significantly represented by the molecular function category of "structural constituent of ribosome" (P = 2.82 × 10 À31 , Table EV13), but there was no strong pattern of enrichment for up-regulated genes ( Table EV14). Comparison of the RNA-seq data to the transcription time course in ) (Data ref: Bozdech et al, 2003 revealed that the majority of significantly down-regulated genes normally reach their peak transcript level in ring stage parasites between 8 and 18 hpi; however, the same trend is not seen in significantly up-regulated genes (Fig 4C).
To investigate the genome-wide occupancy of ISWI-3HA, we performed ChIP-seq in ring stage parasites. These data showed ISWI enrichment in the promoter regions of genes that were down-regulated upon ISWI KD (Fig 4D). When compared to published Assay for Transposase-Accessible Chromatin using sequencing (ATACseq) data from a similar time point in the IDC Data ref: Toenhake et al, 2018), our ChIP-seq data revealed an enrichment of ISWI that overlapped with accessible chromatin in intergenic regions (Fig 4E). Indeed, if all P. falciparum genes were divided into quartiles based on their transcript levels at 12 hpi, ISWI was most enriched in the promoter regions of genes with the highest transcript levels ( Fig 4F). These data suggest that ISWI binding to promoter regions contributes to transcriptional activation in real time.
Among the genes that were significantly down-regulated upon ISWI KD was the var gene that is active in this clone (PF3D7_1240600; q = 2.53 × 10 À5 , Figs 4B and EV4C bottom, Table EV12). However, mutually exclusive expression of the var gene family was maintained during ISWI KD (Fig EV4C bottom). Interestingly, ISWI and H3K9ac ChIP-seq showed enrichment of both these features in the promoter region of the active var gene (Fig 4G and H). In comparison, ISWI and H3K9ac were largely absent from the promoters of the silent var genes (Figs 4H and  EV4D). Taken together, these data suggest that ISWI plays a direct role in var gene activation, but not repression, in ring stage parasites.

Discussion
CRISPR/Cas9 continues to transform genetics in apicomplexan parasites, but the full range of CRISPR-based tools has yet to be developed in Plasmodium. dCas9 has been used in mammalian systems to purify specific loci in the genome along with closely associated proteins, DNA, and RNA Waldrip et al, 2014;Liu et al, 2017;Myers et al, 2018). Importantly, this method is able to capture chromatin complexes that may not be detected with in vitro affinity purification assays. In this study, we purified specific chromatin loci without the use of genome editing, which allowed us ▸ Figure 4. ISWI is a transcriptional activator involved in var gene regulation.
A Western blot analysis of cytoplasmic (Cty) and nuclear extracts from a bulk population of ISWI-3HA-ribo parasites in the absence (À) or presence (+) of glucosamine (GlcN). ISWI-3HA is detected with an anti-HA antibody. Antibodies against aldolase (Ald.) and histone H3 are controls for the cytoplasmic and nuclear extracts, respectively. Molecular weights are shown to the right. B MA plot of log 2 (glucosamine-treated/untreated, M) plotted over the mean abundance of each gene (A) at 12 hpi. Transcripts with a significantly higher (above x-axis) or lower (below x-axis) abundance in the presence of glucosamine are highlighted in red (q ≤ 0.05). iswi is highlighted in blue (q = 6.71 × 10 À10 ), and the active var gene is highlighted in green (q = 2.53 × 10 À5 ). Two and three replicates were used for untreated and glucosamine-treated parasites, respectively. P-values were calculated with a Wald test for significance of coefficients in a negative binomial generalized linear model as implemented in DESeq2 (Love et al, 2014). q = Bonferroni corrected P-value. The x-axis is DNA sequence, with genes represented by black boxes indented to delineate introns and labeled with white arrowheads to indicate transcription direction. The y-axis is enrichment (ChIP/Input or ATAC-seq/genomic DNA). One replicate was used for the ISWI ChIP-seq. F Meta-gene plot showing average ISWI enrichment (y-axis = ChIP/Input) in clonal ISWI-3HA parasites at 12 hpi from 1.5 kb upstream of the translation start site ("Start") to 1.5 kb downstream of the translation stop site ("Stop") for all genes, which are grouped into quartiles based on their transcript levels (RPKM) at 12 hpi. Dark red represents genes with the highest transcript levels ("1 st "), light red represents genes with the second highest transcript levels ("2 nd "), orange represents genes with the third highest transcript levels ("3 rd "), and yellow represents genes with the lowest transcript levels ("4 th "). One replicate was used for the ISWI ChIP-seq, and the transcription data are an average from the two replicates of the untreated ISWI-3HA clone used for the differential expression analysis. G ChIP-seq data show enrichment of ISWI (blue) and H3K9ac (green) in clonal ISWI-3HA parasites at 12 hpi at the active var gene (PF3D7_1240600). RNA-seq data from this clone at 12 hpi show transcript levels for this gene (gray). Genome location is indicated at the top of the panel. The x-axis is DNA sequence, with genes represented by black boxes indented to delineate introns and labeled with white arrowheads to indicate transcription direction. The y-axis is ChIP/Input for ChIP data and RPKM for RNA-seq data. One replicate was used for each ChIP-seq, and the RNA-seq data are from a single replicate from the untreated ISWI-3HA clone used for the differential expression analysis. H Meta-gene plot showing average ISWI enrichment (y-axis = ChIP/Input) in clonal ISWI-3HA parasites at 12 hpi from 1.5 kb upstream of the translation start site ("Start") to 1.5 kb downstream of the translation stop site ("Stop") for the active var gene (PF3D7_1240600, blue) or silent var genes (yellow). One replicate was used for the ISWI ChIP-seq.
Source data are available online for this figure.  to identify factors bound in a biologically relevant spatio-temporal context. Traditionally, single-locus dCas9 immunoprecipitation for proteomic analysis has proven challenging even in model systems due to the high amount of input material needed to overcome nonspecific background. The future development of an inducible, biotin-based CRISPR/dCas9 IP LC-MS/MS analysis system (Liu et al, 2017;Myers et al, 2018) in Plasmodium may allow for single-locus purification. Many seminal studies attempting to purify a specific genomic sequence maximized the immunoprecipitated protein content per cell by targeting telomeric repeats, which are present in high numbers within the genome (Déjardin & Kingston, 2009;Liu et al, 2017). For our analysis, we exploited the homology of targeted sequences within the var gene family and maximized protein content of the immunoprecipitation by targeting dCas9 to multiple var genes in the same strain with a single guide RNA (Figs 1 and EV1A and C). We used ChIP-seq to demonstrate that dCas9 bound robustly to var gene regulatory elements (Fig 2). It is possible that we immunoprecipitated both silent and active var genes simultaneously from non-clonal bulk cultured parasites, as they collectively did not express a single var gene ( Fig EV2D). Importantly, RNA-seq and dCas9 RIP-seq of the var promotertargeted strains showed that dCas9-targeted var genes are transcribed and that mutually exclusive expression is maintained (Figs 2C and EV2B-E). Thus, this technology could be used for investigation of other multigene families in P. falciparum and other parasites.
Label-free quantitative proteomics and comparison of the promoter-and intron-targeted dCas9 immunoprecipitations to each other and to the non-targeted dCas9 immunoprecipitation allowed for the identification of proteins that were specific to each DNA element (Fig 3). Using a non-targeted dCas9 that does not bind specifically to the genome for normalization, we identified var genebound factors such as SIP2 and other proteins that were shown to bind to or near var genes like the Alba proteins, HP1, and H2A.Z (Flueck et al, 2009;Pérez-Toledo et al, 2009;Petter et al, 2011;Chêne et al, 2012;Goyal et al, 2012). However, our analysis did not identify as significantly enriched several chromatin-associated proteins that have been implicated in mutually exclusive var gene transcription including HDA2, SIR2, SET2, SET10, and RECQ1 (Fre . SIR2, SET2, SET10, and RECQ1 were not detected in any sample, perhaps due to very low abundance or to weak/transient binding to var genes (Source Data for Tables EV5-EV8). It is also possible that these factors associate with var genes before or after the 14 hpi time point we analyzed. Indeed, SET10 was shown by IFA to associate with the active var gene at later stages, perhaps to facilitate gene poising (Volz et al, 2012).
Importantly, we identified novel var gene-associated factors that have thus far not been implicated in var gene regulation, but provide important insight into var gene biology. The var gene promoter was enriched in members of the DNA prereplication complex. It is possible that the targeted var gene promoters are located near origins of replication where the prereplication complex is loaded during G1 phase (ring stage parasites), as in other eukaryotes (Ansari & Tuteja, 2012). However, the presence of DNA mismatch repair (MMR) components suggests that CAF2 and the MCM complex might be involved in DNA damage repair. Indeed, recent evidence showed that var genes frequently recombine during asexual replication, leading to crossover between different var sequences in a manner that preserves the reading frame (Claessens et al, 2014). These recombination events are often located near putative G-quadruplex DNA motifs, which form secondary structures that can interfere with transcription or lead to DNA recombination by stalling DNA polymerase (Siddiqui-Jain et al, 2002;Koole et al, 2014;Stanton et al, 2016). In P. falciparum, half of the total predicted G-quadruplex motifs are within or upstream of var genes, especially of the upsB type, which we target with dCas9 in this study (Smargiasso et al, 2009). Thus, the MMR machinery, MCM helicases, and CAF-1 complex could bind near var gene promoters to help maintain chromatin stability and DNA repair in the recombinogenic var gene family during asexual replication.
The var gene promoters were also enriched in chromatin remodelers and MORC, which indicates the importance of chromatin structure at this regulatory element. It has been demonstrated that chromatin accessibility and incorporation of histone variants H2A.Z and H2B.Z at P. falciparum gene promoters correlate with transcriptional activity, but the factors behind these phenomena are unknown (Hoeijmakers et al, 2013;Petter et al, 2013;Ruiz et al, 2018;. Thus, our functional characterization of ISWI provides novel insight into transcriptional activation in P. falciparum. We showed that ISWI binds to the promoters of active genes and intergenic regions of high chromatin accessibility in ring stage parasites (Fig 4D-F). Although we showed that ISWI associates with proteins involved in transcriptional repression and activation, there was a significant over-representation of down-regulated genes upon ISWI knockdown, the majority of which normally reach peak transcription level in ring stage parasites (Fig 4B and C). One of these down-regulated genes was the active var gene, which had an enrichment of ISWI at its promoter (Fig 4G and H). These data suggest that ISWI binds to upstream regions of genes to facilitate transcriptional activation, perhaps through changes in chromatin composition at the var gene promoter.
It is possible that ISWI achieves specificity and modulates nucleosome positioning/composition either directly or via binding partners, as has been shown for many chromatin remodelers in other eukaryotic systems (reviewed in (Erdel & Rippe, 2011)). Indeed, we show that the structurally divergent PfISWI contains zinc finger domains and interacts with diverse proteins such as MORC, an ApiAP2 transcription factor, HDAC1, and ACS ( Fig 3D). Interestingly, recent studies have demonstrated that enzymes involved in acetyl-CoA synthesis localize to specific genomic loci to effect changes in histone acetylation, which can enhance gene transcription or DNA repair (reviewed in (Li et al, 2018)). Likewise, localization of PfACS to the promoters of genes could have important implications for the relationship between gene expression and metabolism.
As the PfMORC sequence diverges from that of MORC proteins found in other eukaryotes, it is unclear what transcriptional role it might play with ISWI in P. falciparum. A recent study in another apicomplexan parasite, Toxoplasma gondii, showed that MORC associates with ApiAP2 transcription factors and a histone deacetylase (HDAC3) to transcriptionally silence specific cohorts of genes important for sexual differentiation (Farhat et al, 2020). This MORC/HDAC3 complex seems to modulate nucleosome positioning ª 2020 The Authors Molecular Systems Biology 16: e9569 | 2020 and/or histone acetylation to directly silence transcription or act as a barrier to neighboring euchromatin. A similar model could prove true in P. falciparum, where an ApiAP2 transcription factor (such as PF3D7_1107800) recruits ISWI and other cofactors such as MORC, HDAC1, or GCN5 to alter the local chromatin structure, which could lead to gene activation, repression, or insulation from neighboring HP1-mediated heterochromatin. Future functional characterization of the PfISWI complex will elucidate specific roles in chromatin composition and transcription, especially with regard to var genes.
In addition, many proteins of unknown function without homologs in other organisms were enriched in our dCas9 IP LC-MS/MS analysis. Because P. falciparum lacks CTCF and many conserved transcription factors found in other eukaryotes, the proteins identified in this study may prove to be missing links in var gene regulation and higher-order chromatin organization (Aravind et al, 2003;Coulson et al, 2004;Templeton et al, 2004). Future functional characterization of these factors will reveal their roles in chromatin organization and unique transcriptional regulation of the var gene family.

Methods and Protocols
Parasite culture Asexual blood stage 3D7 P. falciparum parasites were cultured as previously described in (Lopez-Rubio et al, 2009

Generation of strains
All cloning was performed using KAPA HiFi DNA Polymerase (Roche 07958846001), In-Fusion HD Cloning Kit (Clontech 639649), and XL10-Gold Ultracompetent E. coli (Agilent Technologies 200315). Transgenic dCas9 parasites were generated using a two-plasmid system (pUF1 and pL7) based on the CRISPR/Cas9 system previously described in (Ghorbal et al, 2014). The sequence encoding the 3xFLAG-Cas9 in the pUF1 plasmid was replaced with a gene encoding a catalytically inactive Cas9 (with RuvC and HNH mutations developed in (Qi et al, 2013)), which was fused at its carboxy terminus with a 3× hemagglutinin (HA) tag. The pL7 sgRNA expression plasmid was modified to encode an optimized sgRNA (with duplex extension and thymine mutation as developed in (Dang et al, 2015)). For pL7_varPromoter_IP, the non-coding strand sequence 5 0 -GGTTTATATCGTGGCATACA-3 0 approximately 40 bp upstream of the translation start site of 19 var genes was ordered from Eurofins Genomics (Ebersberg, Germany) and inserted into the optimized pL7 sgRNA expression plasmid. For pL7_varIntron_IP, the non-coding strand sequence 5 0 -GTAAATGTGTATGTAGTTAT-3 0 in region III of the intron (as defined in (Calderwood et al, 2003)) of 13 var genes was ordered from Eurofins Genomics (Ebersberg, Germany) and inserted into the optimized pL7 sgRNA expression plasmid. The pL7_Control_IP plasmid contains the empty cloning site 5 0 -CCTAGGAACT-CATCGCTCGCGATGCTGCCCGACA-3 0 as the sgRNA. Short read alignment using bowtie analysis shows that neither this sequence nor the final 20 nucleotide (nt) sequence adjacent to the tracrRNA correspond to any sequence in the P. falciparum 3D7 genome with three or less mismatches (Fig EV2A). A 3D7 wild-type bulk ring stage culture was transfected with 25 lg each of pUF1 and pL7, and continuous drug selection was applied with 1.33 nM WR99210 (Jacobus Pharmaceuticals) and 0.75 lM DSM1 (MR4/ BEI Resources MRA-1161).
dCas9 chromatin immunoprecipitation 1 Using a DynaMag magnet (Thermo Fisher 12321D), wash 25 ll Protein G Dynabeads (Invitrogen 10004D) twice with 1 ml ChIP dilution buffer (16.7 mM Tris-HCl pH 8, 150 mM NaCl, 1.2 mM EDTA pH 8, 1% Triton X-100, 0.01% SDS). 2 Resuspend beads in 1 ml ChIP dilution buffer and add 1 lg of anti-HA antibody (Abcam ab9110). Incubate on a rotator at 4°C for~6 h. 3 Cross-link synchronized parasites (~2 × 10 8 parasites) by adding methanol-free formaldehyde (Thermo Fisher 28908) to the culture (final concentration 1%) and incubating with gentle agitation for 10 min at 25°C. 4 Quench the cross-linking reaction by adding glycine (final concentration 125 mM) and incubating with gentle agitation for 5 min at 25°C. 5 Centrifuge at 974 g for 2 min at 4°C and remove supernatant. 6 Resuspend and wash cross-linked infected red blood cells with 10 ml DPBS at 4°C. 7 Centrifuge at 974 g for 2 min at 4°C and remove supernatant. 8 Lyse infected red blood cells in 10 ml 0.15% saponin (Sigma S7900) in DPBS at 4°C for 5-10 min (until liquid becomes transparent). 9 Centrifuge at 3,220 g for 5 min at 4°C and remove supernatant. 10 Wash the parasites with 12 ml DPBS at 4°C. 11 Centrifuge at 3,220 g for 5 min at 4°C and remove supernatant. 12 Repeat steps 10-11. 13 If the supernatant is clear and not red, remove it and proceed to the next step or snap freeze and store at À80°C. If it is not clear, wash the pellet again with DPBS. 14 Resuspended parasites in 2 ml of lysis buffer (10 mM HEPES pH 8, 10 mM KCl, 0. dCas9 chromatin immunoprecipitation sequencing and analysis Libraries for sequencing were made with the MicroPlex library preparation kit (Diagenode C05010014). Libraries were sequenced on the NextSeq 500 platform (Illumina). Sequenced reads (150 bp paired end) were mapped to the P. falciparum genome (Gardner et al, 2002) (plasmoDB.org, version 3, release 29) using "bwa mem" ) allowing a read to align only once to the reference genome (option "-c 1"). Alignments were subsequently filtered for duplicates and a mapping quality ≥ 20 using samtools . For ChIP-seq coverage plots, deeptool's bamCompare  was used to normalize the read coverage per genome position (option "-bs 1") in the respective input and ChIP samples to the total number of mapped reads in each library (option "-normalizeUsingRPKM"). Normalized input coverage per bin was subtracted from the ChIP values (option "-ratio subtract"), and coverage plots were visualized in the Integrative Genomics Viewer (Robinson et al, 2011). For genome-wide coverage plots, the same approach was used as above but with a bin size of 1,000 nt. Background levels of unspecific dCas9 binding were further removed by subtracting normalized coverage of the non-targeted dCas9 control sample from the normalized promoter or intron coverages and visualized using circos (Krzywinski et al, 2009).
Significant peaks of dCas9 binding sites were identified using macs2 (version 2.2.6) (Zhang et al, 2008) "callpeak" using default settings and options "-nomodel", "-extsize150" and "-B" set. A Benjamini-Hochberg-adjusted P-value (i.e., q-value) was calculated for each peak. To compare the ChIP enrichment of dCas9 in the var gene intron-or promoter-targeted strains to the non-targeted control strain, a likelihood ratio of enrichment comparing promoter/control (Table EV1) and intron/control (Table EV2) was calculated using the output pileup files from "callpeak" and the macs2 command "bdgdiff" with default settings. One replicate was performed per strain.
dCas9 RNA immunoprecipitation sequencing and analysis dCas9 RIP-seq was performed with the same protocol for dCas9 ChIP-seq (above) with the following modifications. RNasin RNase inhibitor (Promega N2511) was added to all lysis and wash buffers. A control immunoprecipitation was performed using 1 lg of rabbit IgG (Diagenode C15410206) conjugated to 25 ll of Protein G Dynabeads (Invitrogen 10004D). After bead incubation, samples were washed and eluted as above and then incubated for 30 min at 70°C to reverse cross-links. One microliter of DNase Turbo (Thermo Fisher AM2238) was added, and samples were incubated for 20 min at 37°C. Six hundred microliters of Trizol LS (Thermo Fisher 10296010) were mixed with the sample, followed by 160 ll chloroform. Samples were vortexed and phases were separated by centrifugation for 10 min at 13,500 g at 4°C. The aqueous (top) layer was then purified with the RNeasy MinElute Cleanup Kit (Qiagen 74204). RNA libraries were prepared with the TruSeq stranded mRNA LT library prep kit (Illumina 20020594) without mRNA selection, ribosomal RNA depletion, or fragmentation. Libraries were sequenced, and data were treated as above for ChIP. One replicate was performed for anti-HA and IgG immunoprecipitations in nonclonal bulk cultures at 12 hpi of non-targeted dCas9 and var promoter-targeted dCas9 strains.
For dCas9 RIP-seq analysis of the var promoter-targeted dCas9, read coverage in the anti-HA and IgG samples was calculated using deepTools "bamCompare"  in 10 nt windows (option "-bs 10") and normalized to the total number of mapped reads in each library (option "-normalizeUsingRPKM"). The normalized coverage in each bin of the IgG sample was then subtracted from the anti-HA sample (option "-ratio subtract"). Promoter/control fold enrichment of each IgG-normalized 10 nt window was calculated using macs2 "bdgcmp" (Zhang et al, 2008). For genome-wide coverage plots, the fold enrichment as calculated by macs2 "bdgcmp" was averaged over the gene body and visualized using circos (Krzywinski et al, 2009).

Stranded RNA sequencing and analysis
Infected RBCs containing synchronized (14 hpi AE 3 h) parasites were lysed in 0.075% saponin (Sigma S7900) in DPBS at 37°C. The parasite cell pellet was washed once with DPBS and then resuspended in 700 ll QIAzol reagent (Qiagen 79306). Total RNA was extracted using the miRNeasy Mini Kit (Qiagen 217004), including an on-column DNase I digestion according to the manufacturer's protocol. RNA samples were depleted of rRNA with the Dynabeads mRNA DIRECT Kit (Thermo Fisher 61012), and libraries were prepared with the TruSeq Stranded mRNA LT Sample Prep Kit (Illumina 20020594). Libraries were sequenced on the NextSeq 500 platform (Illumina). Sequenced reads (150 bp paired end) were mapped, aligned, and visualized as described above for ChIP-seq.
Immunoprecipitation of dCas9 for mass spectrometry analysis 1 Wash and conjugate beads as described above for ChIP-seq. Ten milligrams of Protein G Dynabeads (Invitrogen 10004D) conjugated to 10 lg of anti-HA antibody (Abcam ab9110) are needed per immunoprecipitation. 2 Cross-link and perform saponin lysis with synchronized parasites (14 hpi AE 3 h) as described above for ChIP-seq. 3 × 10 9 cross-linked parasites were collected for each immunoprecipitation, with four replicates per strain (non-targeted, promotertargeted, or intron-targeted dCas9). 3 Resuspend pellet (3 × 10 9 parasites) in 10 ml of lysis buffer (10 mM Tris-HCl pH 7.5, 1 mM EDTA, 0.5% IGEPAL CA-630, PI) at 4°C and incubate with rotation for 30 min at 4°C. 4 Centrifuge extracts for 8 min at 380 g at 4°C and remove the supernatant. 5 Resuspend the pellet in 10 ml nuclear lysis buffer (10 mM Tris-HCl pH 7.5, 500 mM NaCl, 1 mM EDTA, 1% IGEPAL CA-630, 0.5% sodium deoxycholate, PI) at 4°C and incubate for 10 min at 4°C, vortexing every~3 min. 6 Centrifuge lysates for 8 min at 380 g at 4°C and remove supernatant. 7 Resuspend the pellet in 1. • For identification, the data were searched against the P. falciparum FASTA database (PlasmoDB-36 Pfaciparum3D7 Anno-tatedProtein containing Cas9 and the common contaminants) using Sequest HF through proteome discoverer (Thermo Fisher version 2.2). Enzyme specificity was set to trypsin, and a maximum of two missed cleavage sites were allowed. Oxidized methionine and N-terminal acetylation were set as variable modifications. Maximum allowed mass deviation was set to 10 ppm for monoisotopic precursor ions and 0.02 Da for MS/ MS peaks.
• The resulting files were further processed using myProMS (verª 2020 The Authors Molecular Systems Biology 16: e9569 | 2020 sion 3.9) (Poullet et al, 2007). For identification, FDR was computed using Percolator (Spivak et al, 2009) and was set to 1% at the peptide-level for the whole study. The label-free quantification was performed by peptide Extracted Ion Chromatograms (XICs) computed with MassChroQ version 2.2 (Valot et al, 2011). For protein quantification, XICs from proteotypic peptides shared between compared conditions (TopN matching) with two missed cleavages were used. Median and scale normalization was applied on the total signal to correct the XICs for each replicate (n = 4). Two replicates of the promoter-targeted dCas9 sample were excluded from the analysis due to significantly lower amounts of dCas9 and total protein detected, which would lead to a biased analysis (Fig EV3A and Table EV4).
• To estimate the significance of the change in protein abundance, a linear model (adjusted on peptides and replicates) based on two-tailed t-test was performed and P-values were adjusted using Benjamini-Hochberg FDR procedure. Proteins with at least 1.5-fold enrichment, P-value ≤ 0.05, and at least three total peptides in all replicates were considered significantly enriched in sample comparisons.

ISWI immunoprecipitation and mass spectrometry
An ISWI-3HA-ribo clone (n = 3 technical replicates) and wildtype culture (as a negative control) were synchronized. At 36 hpi, each culture (1.5 × 10 9 parasites) was centrifuged and RBCs were lysed with six volumes of 0.15% saponin in DPBS for 5 min at 4°C. Parasites were centrifuged at 4,000 g for 5 min at 4°C, and the pellet was washed twice with DPBS at 4°C. Parasites were then cross-linked with 1 ml 0.5 mM dithiobissuccinimidyl propionate (DSP; Thermo Fisher 22585) in DPBS for 60 min at 37°C (as in (Mesén-Ramírez et al, 2016)). Cross-linked parasites were washed once with DPBS and then lysed with 10 volumes of RIPA buffer (10 mM Tris-HCl pH 7.5, 150 mM NaCl, 0.1% SDS, 1% Triton) containing protease and phosphatase inhibitor cocktail (Thermo Fisher 78440) and 1 U/ll of Benzonase (Merck 71206). The lysates were cleared by centrifugation at 16,000 g for 10 min at 4°C. Supernatants were incubated with 25 ll of anti-HA Dynabeads (Thermo Fisher 88836) overnight with rotation at 4°C. Beads were collected with a magnet and washed five times with 1 ml RIPA buffer, then five times with 1 ml DPBS, and then once with 1 ml 25 mM NH 4 HCO 3 (Sigma 09830). The beads were reduced with 100 mM dithiothreitol (Sigma D9779), alkylated with 55 mM iodoacetamide (Sigma I1149), and subjected to on-bead digestion using 1 lg of trypsin (Thermo Fisher 90059). The resulting peptides were desalted using C18 ziptips (Merck ZTC04S096) and sent for MS analysis. Peptides were separated by reverse phase HPLC (Thermo Fisher Easy-nLC1000) using an EASY-Spray column, 50 cm × 75 lm ID, PepMap RSLC C18, 2 lm (Thermo Fisher ES803A) over a 90-min gradient before nanoelectrospray using a Q Exactive HF-X mass spectrometer (Thermo Fisher). The mass spectrometer was operated in a data-dependent mode. The parameters for the full scan MS were as follows: resolution of 60,000 across 350-1,500 m/z, AGC 1e 3 (as in (Kensche et al, 2016)), and maximum injection time (IT) 50 ms. The full MS scan was followed by MS/MS for the top 15 precursor ions in each cycle with an NCE of 28 and dynamic exclusion of 30 s and maximum IT of 300 ms. Raw mass spectral data files (.raw) were searched using Proteome Discoverer (Thermo Fisher) and Mascot (version 2.4.1) (Perkins et al, 1999). Mascot search parameters were as follows: 10 ppm mass tolerance for precursor ions; 0.8 Da for fragment ion mass tolerance; two missed cleavages of trypsin; fixed modification was carbamidomethylation of cysteine; and variable modifications were methionine oxidation, CAMthiopropanoyl on lysine or protein N-terminal, and serine, threonine, and tyrosine phosphorylation. Only peptides with a Mascot score greater than or equal to 25 and an isolation interference less than or equal to 30 were included in the data analysis.

Parasite growth assay
Parasite growth was measured as described previously (Vembar et al, 2015). Briefly, a clone of ISWI-3HA-ribo was tightly synchronized and diluted to 0.2% parasitemia (5% hematocrit) at ring stage using the blood of two different donors separately. Each culture was split, and glucosamine (Sigma G1514) was added (2.5 mM final concentration) to one half. The growth curve was performed in a 96-well plate (200 ll culture per well) with three technical replicates per condition per blood. Parasitemia was measured every 24 h by staining parasite nuclei with SYBR Green I (Sigma S9430) and quantifying infected red blood cells with a Guava easyCyte flow cytometer (Merck Millipore).
Estimation of cell cycle progression RNA-seq-based cell cycle progression was estimated in R by comparing the normalized expression values (i.e., RPKM, reads per kilobase per exon per one million mapped reads) of each sample to the microarray data from ) (Data ref: Bozdech et al, 2003) using the statistical model as in Lemieux et al (2009).

Differential gene expression analysis
A clone of ISWI-3HA-ribo was synchronized and split into two cultures. Glucosamine (2.5 mM final concentration, Sigma G1514) was added to one culture at 36 hpi, and parasites were harvested 24 h later during ring stage (12 hpi). RNA sequencing reads for three technical replicates of the glucosamine-treated and two technical replicates of the untreated ISWI-3HA-ribo clone were mapped to the P. falciparum genome and quality filtered as described above for ChIP-seq and RNA-seq. Strand-specific gene counts were calculated using htseq-count (Anders et al, 2015). Differential gene expression analysis was performed using DESeq2 (Love et al, 2014) with significantly differentially expressed genes featuring a Benjamini-Hochberg-adjusted P-value (i.e., q) ≤ 0.05. MA plots were generated using the "baseMean" (mean normalized read count over all replicates and conditions) and "log 2 FoldChange" values (glucosaminetreated over control) as determined by DESeq2. RPKM values were calculated in R using the command rpkm() from the package edgeR (Robinson et al, 2010). Gene Ontology enrichments were calculated using the built-in tool at PlasmoDB.org (Aurrecoechea et al, 2017).
ISWI and H3K9ac ChIP sequencing and analysis Synchronous parasites (12 hpi AE 3) were treated as above for the dCas9 ChIP with minor differences. 5 × 10 8 parasites were crosslinked and lysed in 4 ml ChIP lysis buffer. Chromatin was sonicated in 3.6 ml total ChIP SDS lysis buffer. For the ISWI-HA ChIP, 8 lg DNA (chromatin) was diluted and incubated with 8 lg anti-HA antibody (Abcam ab9110) conjugated to 200 ll Protein G Dynabeads (Invitrogen 10004D). For the H3K9ac ChIP, 2 lg DNA (chromatin) was diluted and incubated with 2 lg anti-H3K9ac antibody (Millipore 07-352) conjugated to 50 ll Protein G Dynabeads (Invitrogen 10004D).
Sequencing libraries were prepared, sequenced, and processed as with the dCas9 ChIP samples. Fold enrichment over input was calculated using deeptool's bamCompare  (option "-ratio ratio") in windows of 1 nt (option "-bs 1"), and coverage plots were visualized in the Integrative Genomics Viewer (Robinson et al, 2011). Meta-gene plots were visualized using deeptool's plotProfile over a region 1.5 kb upstream and downstream of the translation start and stop site, respectively, using the qualityfiltered bam files as input.

Data availability
The data sets generated in this study are available in the following databases: •