The chromatin remodeler LET-418/Mi-2 regulates the intracellular pathogen response in the C. elegans intestine

The chromatin remodeler LET-418/Mi-2 regulates the intracellular pathogen response in the C. elegans intestine | bioRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-M677548'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search New Results The chromatin remodeler LET-418/Mi-2 regulates the intracellular pathogen response in the C. elegans intestine View ORCID Profile Shweta Rajopadhye , View ORCID Profile Vladimir Lažetić , View ORCID Profile David Rodriguez Crespo , View ORCID Profile Emily Troemel , View ORCID Profile Peter Meister , View ORCID Profile Chantal Wicky doi: https://doi.org/10.1101/2025.06.17.659900 Shweta Rajopadhye 1 Department of Biology, University of Fribourg , Switzerland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Shweta Rajopadhye Vladimir Lažetić 2 Department of Biological Sciences, Columbian College of Arts and Sciences, The George Washington University , Washington, District of Columbia, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Vladimir Lažetić David Rodriguez Crespo 1 Department of Biology, University of Fribourg , Switzerland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for David Rodriguez Crespo Emily Troemel 3 School of Biological Sciences, University of California , San Diego, La Jolla, California, USA Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Emily Troemel Peter Meister 4 Institute of Cell Biology, University of Bern , Switzerland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Peter Meister Chantal Wicky 1 Department of Biology, University of Fribourg , Switzerland Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Chantal Wicky For correspondence: chantal.wicky{at}unifr.ch Abstract Full Text Info/History Metrics Supplementary material Data/Code Preview PDF Abstract Chromatin remodeling provides essential transcriptional regulation for all biological processes. In Caenorhabditis elegans, the chromatin remodeler LET-418, a homolog of the human Mi-2β protein, plays a critical role in regulating development, organogenesis, tissue maintenance, stress resistance and lifespan. LET-418 is part of several chromatin remodeling complexes and contributes significantly to the balance between growth and defense mechanisms, yet its target genes remain unclear. Using DNA methylation profiling, we identified genomic binding sites and associated target genes of LET-418 and its MEC-complex-specific interactor MEP-1 in the intestine. Consistent with their presence in the same complex, the two proteins shared more than half of their target genes. Functional analysis revealed that LET-418 and MEP-1 target genes are highly active in the intestine and are involved in repressing innate immune responses, including the intracellular pathogen response (IPR). Consistently, in let-418 mutants, IPR-induced genes, such as pals-5 or pals-2 are strongly upregulated, in a manner dependent on ZIP-1, a major transcription factor for IPR. Additionally, we found pathogen levels of the natural intracellular intestinal pathogen Nematocida parisii significantly reduced in let-418 mutants, supporting the observation of increased IPR in this mutant. Altogether, these findings reveal a crucial role for LET-418 as a modulator of the IPR, aligning with its role in maintaining the balance between development and defense. Introduction Chromatin is a highly dynamic structure, which regulates DNA access to the transcription machinery. It is regularly modified by large enzymatic complexes, including the widely conserved NuRD (Nucleosome Remodeling and Deacetylase) complex known to regulate developmental processes, as well as tissue homeostasis in many organisms ( X ue et al. 1998 ; S hin and M ello 2003 ; P assannante et al. 2010 ; R eddy et al. 2010 ; H u and W ade 2012 ; H offmann and S pengler 2019 ; R eid et al. 2022 ). Among the 7 unique subunits, each of them encoded by multiple gene paralogs, the NuRD complex relies on the CHD (chromodomain helicase DNA-binding) family of enzymes and histone deacetylases to regulate transcription ( R eid et al. 2022 ). Classically it has been seen as a transcriptional repressor, however, there is evidence that the NuRD complex can also activate transcription ( B ornelov et al. 2018 ; Z hang et al. 2018 ). The NuRD complex has several important roles, including being required for pluripotent cells to undergo lineage commitment in mice ( R eynolds et al. 2012 ). The NuRD core component, CHD4/Mi-2β, is essential for stem cell homeostasis and lineage choice during skin development and mouse hematopoiesis ( K ashiwagi et al. 2007 ; Y oshida et al. 2008 ). More recently, the NuRD complex was shown to be required for cardiac development and CHD4/Mi2β for proper skeletal muscle regeneration in mice ( W ilczewski et al. 2018 ; S reenivasan et al. 2021 ). Altogether, NuRD promotes cell fate transitions in a variety of different organisms and developmental contexts ( S ignolet and H endrich 2015 ). In addition, NuRD subunits are frequently upregulated or mutated in cancers, indicating that this complex may regulate processes associated with tumorigenesis ( L ai and W ade 2011 ). In the nematode Caenorhabditis elegans , a NuRD-like complex is active in vulva formation ( S olari and A hringer 2000 ). The LET-418/Mi-2 NuRD member targets the HOX gene lin- 39 for repression, antagonizing the RAS signaling pathway that is required for vulval cell fate induction ( V on Z elewsky et al. 2000 ; G uerry et al. 2007 ). LET-418/Mi-2 also plays a role in lifespan and stress resistance regulation. let-418 mutant worms live longer and are more resistant to heat and oxidative stress ( D e V aux et al. 2013 ). More recently, LET-418/Mi-2 and DCP-66/GATA2 NuRD members were shown to regulate multiple stress responses, including genotoxic stress and endoplasmic reticulum (ER) stress ( G olden et al. 2022 ). In addition, LET-418 is required for germ cell fate maintenance. Together with the histone demethylase SPR-5/LSD1, it antagonizes the action of the COMPASS complex, maintaining proper H3K4 methylation levels in the germline and preventing germ cells to reprogram into somatic cells (KÄSER-PÉBERNARD et al. 2014). Beside the NuRD, LET-418/Mi-2 interacts with the conserved krüppel-type zinc-finger protein MEP-1, acting with the histone deacetylase HDA-1/HDAC1 to form a chromatin remodeling complex called the MEC complex. MEC complex members promote post-embryonic development, and they also repress the expression of germline genes in somatic cells ( U nhavaithaya et al. 2002 ; S audenova and W icky 2018 ). A MEC complex, although lacking the histone deacetylase subunit, is also present in Drosophila, where it represses proneuronal genes during development ( K unert et al. 2009 ). Overall, LET-418/Mi-2 appears to function as a pro-developmental factor, which might prevent stress responses from being activated in order to maximize resource allocation to growth. Further investigations are required to understand how this factor balances growth and defense. C. elegans can respond to a wide range of pathogens ( H arding and E wbank 2021 ). Intracellular pathogens, such as the Orsay virus and the fungus Nematocida parisii, which is part of the Microsporidia phylum, trigger a specific immune response called the intracellular pathogen response (IPR) ( T roemel et al. 2008 ; B akowski et al. 2014 ; R eddy et al. 2017 ; T ecle and T roemel 2022 ; L, aŽetić et al. 2023 ; G ang and L azetic 2024 ). IPR is a transcriptional response that includes upregulation of many genes, including members of the pals gene family, named for the divergent ALS2CR12 protein sequence signature ( R eddy et al. 2017 ; R eddy et al. 2019 ; G ang et al. 2022 ; L azetic et al. 2022 ; L azetic et al. 2023 ; R aman et al. 2024 ). This network of genes needs to be tightly controlled, since their deregulation leads to an imbalance between growth and defense. Thus, IPR positive regulators, such as pals-20 and pals-16 are specifically repressed during growth and development and cannot activate IPR effector genes, like pals-5 and pals-2 ( R eddy et al. 2017 ; L azetic et al. 2023 ). More recently, chromatin factors were also shown to play an important role in IPR regulation, as demonstrated by the function of MEP-1 and the NuRD member LIN-53 in IPR inhibition ( T ecle et al. 2025 ). However, it remains to be determined how the IPR genes are specifically targeted by these upstream factors. Here, we determined which genes are bound by LET-418/Mi-2 and MEP-1 in intestinal cells, as it was shown that intestinal tissue is the primary focus of action of LET-418/Mi-2. We found LET-418/Mi-2 and MEP-1 bound to genomic regions encompassing clusters of genes involved in innate immunity. Genes implicated in IPR are up-regulated in let-418 mutants, which we show have increased resistance to microsporidia infection. Altogether these results indicate that LET-418/Mi-2 maintains the immune system in a repressed but inducible state, allowing normal growth and development. Results Identification of LET-418 and MEP-1 genomic binding sites using a DNA methylase technique To better understand the function of LET-418 and MEP-1, we determined their genome binding sites specifically in the intestine, where we previously showed LET-418 to be required for post-embryonic development ( S audenova and W icky 2018 ). To do so, we profiled the LET-418 and MEP-1 genome binding at the young adult stage using the DNA adenine methyltransferase identification (DamID) system ( G omez -S aldivar et al. 2021 ). Briefly, LET-418 and MEP-1 coding sequences are fused to Dam, which can methylate nearby nucleotides. Here, LET-418 and MEP-1 fusion constructs are preceded by a mCherry cassette that prevents their expression until it is excised out of the genome specifically by the CRE recombinase, whose expression is driven by the intestinal specific elt-2 promoter ( Figure 1A ) ( F ukushige et al. 1998 ). As a result, let-418 or mep-1 are expressed at very low level specifically in the intestine under the control of a non-induced hsp-16.2 promoter. Following the experimental strategy depicted in Figure 1B , methylated fragments were PCR amplified and sequenced to generate the binding profile of LET-418 and MEP-1 (Sup Figure 1B, C). We used a nuclear diffusible GFP::Dam as negative control. Here we identified on average 5448 LET-418 peaks and 5245 MEP-1 peaks (Sup Figure 1D). Pairwise Pearson correlation (bin size 300 bp) between the replicates is high and MEP-1 and LET-418 binding profiles do not correlate with the control, indicating that MEP-1::Dam and LET-418::Dam fusions are introducing specific genome methylation ( Figure 1C ). Notably, we observe a high correlation ( r > 0.5) between MEP-1 and LET-418 binding profiles ( Figure 1C, 2A ). The same trend is also observed with the Principal Component Analysis (PCA) (Sup Figure 1E). This finding suggests that LET-418 and MEP-1 share a significant number of binding sites. We analyzed the chromosome distribution of LET-418 and MEP-1 binding, but we did not find any specific regions that are enriched in LET-418 and MEP-1 binding sites, nor any bias in chromosome distribution ( Figure 1D, E , Sup Figure 1F,G). Altogether, LET-418 and MEP-1 binding sites appear to be spread along all the chromosomes, but correlated with each other. Download figure Open in new tab Figure 1: LET-418 and MEP-1 bind along the whole chromosome uniformly in intestinal cells A) Tissue specific expression of LET-418::Dam using the Cre/lox recombination system.B) Experimental design of the DamID profiling. C) Pearson correlation between LET-418::Dam, MEP-1::Dam and NLS::GFP::Dam replicates. Red lines on the left indicate the relationship between each cluster. The length of the dendrogram branches shows the distance between clusters; the shortest being most related. The color bar represents the correlation between each sample with the darker shade indicating higher correlation. D) Chromosome distribution for LET-418 and MEP-1 target genes shows binding to all chromosomes with maximum binding on chromosome V. An average file of replicate 1 and 2 for both the proteins was used for the analysis. E) Binding profile of LET-418 and MEP-1 to all the chromosomes. LET-418 and MEP-1 share common target sites LET-418 and MEP-1 binding profiles are highly correlated ( r > 0.5) and taking a closer look at LET-418 and MEP-1 peak location revealed a very similar binding profile ( Figure 2A ). We generated an aggregation plot of LET-418 signal over MEP-1 peaks spanning a region of ±5 kb around peak signal midpoint, as well as the reciprocal analysis, and in both cases the findings are consistent with LET-418 and MEP-1 occupying common genomic loci ( Figure 2B ). This result agrees with LET-418 and MEP-1 being part of the same biochemical complex ( U nhavaithaya et al. 2002 ; P assannante et al. 2010 ). Target gene identification (see material and methods) revealed that LET-418 binds to 1758 genes and MEP-1 to 1713 genes (Sup Table 1). Comparison of both genes lists shows that LET-418 and MEP-1 had 829 target genes in common ( Figure 2C ). Thus, only about half of LET-418 and MEP-1 targets appear to be unique to both proteins, indicating that MEP-1 and LET-418 have both common and unique biological functions. To identify the specific genomic elements that are bound by LET-418 and MEP-1, we assigned peaks to 2000 bp upstream and 2000 bp downstream of TSS (Transcriptional Start Site) and TES (Transcriptional End Site) respectively. LET-418 and MEP-1 both preferentially occupy an extended promoter region ( Figure 2D ). LET-418-bound DNA was previously shown in whole worms to be enriched with repetitive elements ( M cmurchy et al. 2017 ). We asked whether this is also the case in the intestine, but did not find any significant enrichment in repetitive elements (Sup Figure 2A, B). Interestingly, we observed that large families of genes organized in clusters, such as the F-box protein fbxa and the C-type lectin clec genes were heavily bound by LET-418 and MEP-1 (Sup Fig 2C, D). These clusters of genes, mostly containing stress response genes, are found in hypervariable regions across natural variants ( L ee et al. 2021 ). Based on these findings, we wondered whether LET-418 and/or MEP-1 binding was enhanced in these hypervariable regions, however, we found no enrichment (Sup Figure 2E-G). In summary, LET-418 and MEP-1 appear to be enriched in non-coding chromatin, mostly 5’ end of genes, indicating a role in gene expression regulation. Download figure Open in new tab Figure 2: MEP-1 and LET-418 share half of their genomic targets A) Representation on IGV browser of the LET-418 and MEP-1 signal profile in a selective region on Chromosome III (range -2.240-2.61). The y axes represent log 2 (LET-418/MEP-1::Dam/NLS::GFP::Dam) scores. B) Aggregation plots of LET-418::Dam signal over MEP-1::Dam peaks using with 5kb upstream and downstream of the center of the peaks and vice versa. YA = young adult stage.C) Venn diagram of the overlap between the target genes (average bedgraph file from both the replicates used to generate the gene list FDR<0.05) of LET-418 and MEP-1. The chart represents the number of genes identified for LET-418 and MEP-1. D) Bar chart representation of the genomic element distribution bound by LET-418 and MEP-1. LET-418 and MEP-1 binding regions are enriched in activating chromatin marks To study the chromatin environment at LET-418 and MEP-1 binding sites, the LET-418 and MEP-1 binding profiles were compared with available profiles of young adult histone marks, which were processed from the ChIP-seq data from the ModERN resource ( K udron et al. 2018 ). Here we found that the most significant LET-418 and MEP-1 binding sites are highly enriched in histone marks associated with active transcription, such as H3K4me1/3, H3K36me2/3 and H3K79me3 ( Figure 3A ). In contrast, we found that modifications associated with negatively regulated genes, such as H3K9me2/3, are depleted from LET-418 and MEP-1 binding sites. However, H3K27me3, which also marks repressed genes, is enriched at MEP-1 binding sites, but not at LET-418 bound regions. LET-418 is often categorized as a heterochromatin protein, which prompted us to analyze the presence of the two heterochromatin proteins HPL-1/2 at LET-418 and MEP-1 binding sites ( A hringer and G asser 2018 ). Using HPL-1/2 binding profiles generated by DamID specifically in the intestine and we observed that the two heterochromatin proteins were depleted from regions occupied by LET-418 (DE LA C ruz -R uiz et al. 2023 ). HPL-1 showed depletion from MEP-1 bound regions while HPL-2 did not show any specific trend. The absence of HPL-1/2 from LET-418 or MEP-1 bound regions and vice versa, can be further visualized at specific genomic loci (Sup Figure 3A, B). In summary, LET-418 shows a distinct chromosome distribution compared to HPL-1/2 ( G arrigues et al. 2015 ; A hringer and G asser 2018 ; DE LA C ruz -R uiz et al. 2023 ). Using ChIP-seq data from the ModERN resource generated with whole worms at young adult stage, we further investigated the association of LET-418 and MEP-1 with additional heterochromatin associated proteins, namely the MBT domain protein LIN-61, the zinc-finger domain protein LIN-13, and the histone H3K9me1/2 methyltransferase MET-2 ( K udron et al. 2018 ). Out of this analysis, we found LIN-61 to be enriched at MEP-1 binding sites, while the other proteins tested showed no enrichment at MEP-1 and/or LET-418 bound regions ( Figure 3C, D ). Download figure Open in new tab Figure 3: LET-418 and MEP-1 binding sites are enriched in histone marks associated with active transcription. Comparison of LET-418 and MEP-1 binding sites with known A) active (in violet) and B) repressive (in cyan) histone marks. C) Comparison of LET-418::Dam and MEP-1::Dam with HPL-1::Dam and HPL-2::Dam signals in the intestine. D) Comparison of LET-418 and MEP-1 binding sites with LIN-61, MET-2, LIN-13 and HPL-2 binding profiles. The reads were positioned around the center of the LET-418 and MEP-1 binding sites with 5000 bp regions upstream and downstream. Altogether, our observations indicate that LET-418 and MEP-1 are associated with transcriptionally active chromatin and that they might function not to turn genes on and off, but rather to fine tune their expression. These observations agree with our previous findings in embryonic cells and with results obtained in stem cells ( K Äser-pebernard et al. 2016 ; B ornelov et al. 2018 ). Interestingly, MEP-1 binding sites show an enrichment in H3K27me3 and LIN-61, an association that has not been previously detected. LET-418 and MEP-1 bind to target genes involved in intestinal functions and immune response Tissue enrichment analysis revealed that the vast majority of genes bound by LET-418 and MEP-1 function in intestinal tissue ( Figure 4A-C ) ( A ngeles -A lbores et al. 2016 ). For example, zip-3 is highly enriched in both LET-418 and MEP-1 datasets, whereas T19D12.4 is is bound by MEP-1. These genes are known to function in the intestine to regulate immune response (Sup Figure 4A). Interestingly, genes functioning in gonadal primordium are also enriched among LET-418 bound genes ( Figure 4A ). This finding is consistent with LET-418 being a repressor of germline genes in somatic cells ( U nhavaithaya et al. 2002 ; P assannante et al. 2010 ). To dissect the shared and specific functions of LET-418 and MEP-1, we performed tissue enrichment analysis with genes that are only bound by either LET-418 or MEP-1. In these two gene lists, we also found strong enrichment in intestinal tissue (sup Figure 4B, C), however, functions in the muscular system are also associated with target genes unique to LET-418 (sup Figure 4A). Download figure Open in new tab Figure 4: MEP-1 and LET-418 bind to genes functioning in the intestine in innate immunity and lipid metabolism. Tissue enrichment analysis for gene targets of A) LET-418 and B) MEP-1 as well as C) the common gene targets. q value threshold of 0.1. X axis is representing the –log10(q-value). DAVID GO term analysis for genes bound by D) LET-418 and E) MEP-1 as well as genes bound by F) both proteins using a background list of intestine specific genes ( K aletsky et al. 2018 ). X axis is representing the –log10(p-value). To reveal functional involvement of LET-418 and MEP-1 in the intestine, we screened the gene target lists using the DAVID Gene Ontology (GO) term enrichment tool with an intestinal gene list as background ( K aletsky et al. 2018 ). We found that LET-418 and MEP-1 target genes are enriched in GO terms, such as innate immune response and lipid metabolism in the category of biological processes ( Figure 4D, E ). The same two biological processes are associated with target genes that are common to LET-418 and MEP-1 ( Figure 4F ). The term “membrane raft” emerged from the LET-418 and MEP-1 GO term enrichment analysis in the cellular component category, suggesting that they might regulate genes associated with membrane trafficking and cell signaling ( Figure 4D-F ). Next, we performed the same analysis on target genes unique to LET-418 or MEP-1. We found MEP-1 to be involved in sex-specific developmental processes (sup Figure 4D, E). The enrichment in genes involved in innate immunity in the list of LET-418 and MEP-1 common targets prompted us to look at their molecular nature in more details. As mentioned above, we observed that large family of genes, such as the fbxa and the clec genes were heavily bound by LET-418 and MEP-1 and involved in innate immunity (Sup Figure 2). LET-418 and MEP-1 also show binding to pals genes, which is a gene family expanded in C. elegans. The pals genes family includes members that are upregulated by intestinal intracellular infection, as well as genes that are not upregulated by infection, but which control expression of this transcriptional response. For example, we saw binding to pals-20 , which regulates downstream pals genes that are upregulated as part of the intracellular pathogen response (IPR) (Sup Figure 4A left panel, Sup Table 5) ( L azetic et al. 2023 ). Altogether, these observations suggest that LET-418 and MEP-1 could play a role in modulating the immune response and more specifically the IPR. let-418 loss-of-function mutants show upregulation of pals genes To further investigate the link between LET-418 bound regions and gene regulation, we analyzed the transcriptome of let-418(s1617) loss-of-function mutant (Sup Figure 5A). Here we found that 2344 genes were upregulated while 1000 were downregulated ( Figure 5A , Sup Table 6). Thus, most of the genes in the mutant strain were upregulated (2344/3344) suggesting a role for LET-418 in transcriptional repression. Interestingly, we found that 14 out of 39 pals genes are upregulated in the absence of LET-418 activity, and 12 of them are induced by N. parisii infection ( B akowski et al. 2014 ; R aman et al. 2024 ). Furthermore, GO analysis of the upregulated genes shows that immune response is among the processes regulated by LET-418 ( Figure 5B ). Additional GO terms found among up-regulated genes suggest a role of LET-418 in cell signaling. Down-regulated genes appear to be involved in nuclear functions and cell cycle ( Figure 5C ). Overlap between the differentially expressed genes and the LET-418 binding targets from the present DamID study revealed 260 genes in common out of which 160 genes are upregulated in the absence of LET-418 activity ( Figure 5A ). GO terms and tissue enrichment analysis indicate that LET-418 direct targets are functioning mainly in the intestine regulating immune response (sup Fig 5B-D). Download figure Open in new tab Figure 5: Absence of LET-418 leads to gene expression changes. A) Bar plot showing the number of upregulated and downregulated genes in let-418 mutants. B) Bar plot representing the distribution of the deregulated genes in absence of LET-418, which are also bound by LET-418. DAVID GO term functional analysis for C) upregulated and D) downregulated genes in let-418 mutants. X axis represents –log10(p-value). let-418 mutants have increased resistance to intracellular pathogens To further investigate the link between LET-418 and the IPR, we used the pals-5p:: GFP transcriptional reporter, whose expression is upregulated in the absence of LET-418 activity as well as upon N. parisii infection, and is commonly used as a marker for IPR induction ( B akowski et al. 2014 ). pals-5 p::GFP expression was induced in intestinal cells when let-418 temperature sensitive mutants were grown at 25°C, ( Figure 6A,C ). In addition, we generated a single-copy translational GFP reporter for another IPR gene, pals-2 , which was also found upregulated in the let-418 mutant. Consistently, we observed a robust upregulation of pals-2 ::GFP expression in the intestine of let-418 mutants grown at the restrictive temperature ( Figure 6B, D ). These results suggest that there is activation of the IPR in let-418 mutants. The transcription factor ZIP-1 is known to function in the intestine downstream of all IPR-activating and regulatory pathways and it is required for the activation of pals-5 expression upon infection by natural intracellular pathogens ( L azetic et al. 2023 ). To test if pals-5 and pals-2 upregulation is ZIP-1-dependent, we monitored expression of pals-5 and pals-2 reporters in let-418(n3536) zip-1(RNAi) worms. Here we observed that pals-5 and pals-2 induction was strongly suppressed upon zip-1 knock-down, indicating that modulation of the IPR by LET-418 is zip-1 -dependent ( Figure 6A-D ). Finally, to test whether IPR activation in let-418 mutants increases resistance against microsporidia, we compared infection levels between let-418 mutants and wild-type animals. We found a significantly lower number of sporoplasms (the early developmental stage of microsporidia) per animal in let-418 mutants compared to the control strain, indicating that the loss of let-418 provides immunity against microsporidia ( Figure 6E ). In summary, our results show that let-418 mutants are more resistant to the intestinal intracellular pathogen N. parisii , most likely because of constitutive IPR induction. Download figure Open in new tab Figure 6: Expression of IPR reporters is induced in let-418 mutants, which are more resistant to microsporidia infection A) Representative images of pals-5 p::GFP transcriptional reporter expression in wild-type worms and let-418 mutants treated for 6 hours with control RNAi or zip-1 RNAi. myo-2 p::mCherry in red was used as a co-injection marker B) Representative images of pals-2 ::GFP translational reporter expression in wild type worms and let-418 mutants treated for 23 hours with control or zip-1 RNAi. Scale bar is 50 µM. C, D) Quantification of the fluorescence was performed for the indicated strains and represented as a box-and-whiskers plot. The line in the box represents the median value. Boxes bound indicate 25th and 75th percentiles, and whiskers extend from the box bounds to the minimum and maximum values. A Kruskal-Wallis test was applied to calculate the p-values E) Wild type worms and let-418 mutants were infected by N. parisii and infection level was measured by scoring the number of sporoplasms per animals (y axis) for each genotype (x axis). A Kolmogorov-Smirnov test was used to calculate p-values; **** p < 0.0001; ** 0.001 ≤ p 0.05). Discussion Using DamID profiling, we found that LET-418 and MEP-1 bind to common genomic regions distributed uniformly across all chromosomes. Chromatin associated with LET-418 and MEP-1 binding sites appears to be enriched in histone modifications that are linked to active transcription, and functional analysis of LET-418 and MEP-1 target genes reveal an enrichment in genes involved in innate immunity. We observed that let-418 mutants had upregulation of genes associated with the IPR, a response to intracellular intestinal pathogens. Accordingly, we also found that let-418 mutants have increased resistance to an intestinal intracellular pathogen N. parisii . Based on these results, we propose a model whereby LET-418 and MEP-1 keep immune response gene expression at a low transcriptional level, but in a chromatin state that is responsive. Upon infection, chromatin is remodeled, and the expression of immune genes can be induced by the ZIP-1 transcription factor ( Figure 7 ). Download figure Open in new tab Figure 7: Chromatin is kept responsive by LET-418 and MEP-1. It is re-shaped upon intracellular pathogen infection via the action of ZIP-1 (for details: see text). LET-418 and MEP-1 share many binding sites, suggesting that they are acting together in a complex. In agreement with this model, let-418 and mep-1 mutants also exhibit developmental defects in common. Absence of let-418 or mep-1 maternal activity leads to developmental arrest at the first larval stage, associated with ectopic expression of germline genes in the soma ( V on Z elewsky et al. 2000 ; U nhavaithaya et al. 2002 ). At L1 stage, deregulated genes in let-418 and mep-1 mutants exhibit more than 80% overlap ( P assannante et al. 2010 ). Our DamID profiling experiments performed at adult stage show that around 50% of the target genes are shared by both proteins, pointing at shared function performed most likely by a MEC complex, however, both proteins also bind to unique target sites. LET-418 is also a member of the NuRD complex that is involved in many biological functions, including development and stress response ( P assannante et al. 2010 ; Z hu et al. 2020 ; G olden et al. 2022 ). LET-418 is often associated with heterochromatin proteins, functioning to repress transcription ( M cmurchy et al. 2017 ; A hringer and G asser 2018 ). However, we found that its binding pattern differs from the heterochromatin proteins HPL-1/2. In the intestine, our data shows that LET-418 occupies sites that are depleted in HPL-1/2, suggesting that LET-418 is not associated with heterochromatic regions (DE LA C ruz -R uiz et al. 2023 ). In line with these observations, LET-418 bound regions do not appear to be enriched in repetitive elements, and are rather enriched in histone modifications related to active transcription. We observed a similar association in whole worms at the embryonic stage ( K Äser-pebernard et al. 2016 ; H ou et al. 2023 ). However, an association with H3K9me2 was also reported ( M cmurchy et al. 2017 ). Altogether, this suggests a role for LET-418 and MEP-1 in the modulation of the level of transcription. In this model, LET-418 and MEP-1 would keep transcriptional levels below a certain threshold, rather than functioning as an on/off switch. In mammals, binding of the LET-418 homolog CHD4 correlates with methylated H3K4, an association that has been proposed to make regulatory sequences responsive to internal and external cues ( B ornelov et al. 2018 ). Our data indicates that LET-418 and MEP-1 b2ind to regions near genes that mainly function in the intestine. LET-418 is required in the intestine to promote post-embryonic development, suggesting that LET-418 targeted genes in the intestine are important for growth and development ( S audenova and W icky 2018 ). However, functional analysis revealed that target genes are enriched in innate immunity-associated genes, a signature that is also seen in transcriptomic data (own data and ( G olden et al. 2022 )). Altogether, these results suggest that LET-418 and MEP-1 are repressing defense genes but maintaining chromatin in a responsive state. This interpretation is in agreement with the observation that misregulation of defense mechanisms leads to growth defects and further highlights the necessity of regulating defense genes to allow development ( L azetic et al. 2023 ). LET-418 and MEP-1 could be counteracted by immune response regulators such as the ZIP-1 transcription factor. Still in C. elegans , a similar type of regulation was demonstrated for the THAP (Thanatos associated protein)-domain protein LIN-15B and members of the DRM (DREAM) complex including LIN-35, which were shown to negatively regulate the IPR ( T ecle et al. 2025 ). Interestingly, LIN-15B and DRM complex members are all part of the Synthetic Multivulva (SynMuv) family of developmental genes, whose other members, including MEP-1 and the NuRD complex member LIN-53 were shown to upregulate the transcriptional IPR reporter pals-5 p::GFP ( T ecle et al. 2025 ). Activation of IPR in the let-418 mutants could also be viewed as an indirect consequence of defects associated with lack of LET-418 activity. It is possible that massive gene deregulation caused by the absence of LET-418 could trigger homeostasis-altering molecular processes (HAMPs), which in turn activates innate immunity and stress resistance, leading to developmental delay, and pathogen and stress resistance ( D e V aux et al. 2013 ; L iston and M asters 2017 ). Alternatively, DNA damage in the germ cells generated by the failure to repair double-strand brakes during meiotic recombination in the let-418 mutant could induce innate immunity and systemic stress resistance, a mechanism that was proposed to reinforce somatic tissue maintenance ( E rmolaeva et al. 2013 ; T urcotte et al. 2018 ). In summary, at the organismal level, LET-418 and MEP-1 positively regulate growth and developmental processes, while limiting defense mechanisms. LET-418 function is conserved, since the mammalian homolog CHD4/Mi-2β,is also driving development, however, its potential role in defense mechanisms highlighted here using C. elegans remains to be determined. Materials and Methods C. elegans maintenance and growth of strains C. elegans strains were maintained as per standard protocols on a lawn of OP50 Escherichia coli on nematode growth medium (NGM) plates at 20°C. For the DamID protocol, C. elegans strains were grown on a lawn of GM48 (-dam) E. coli bacteria on NGM plates at 20°C for at least two generations. After synchronization, around 1500 L1 larvae were seeded on three 100 mm plates. The larvae were grown until the young adult stage and were collected after washing 10-12 times with M9 media in aliquots of 30-50 µl. After the removal of excess liquid, samples (approximately 4500 worms per sample) were snap frozen and stored at -80°C until further use. The list of strains used in the study is mentioned in Sup Table 2. Molecular cloning and MosSCI insertion Tissue-specific plasmids required for DamID experiments were generated using the Gibson Assembly technique ( G ibson et al. 2009 ). Generation of the plasmid for the pals-2 translational reporter strain used Gateway (Invitrogen) cloning and insertion of GFP fragment using restriction digest. Integration of the plasmids into the genome was done using the MosSCI insertion ( F rokjaer -J ensen et al. 2008 ) and were inserted on Chromosome II or IV as single copy plasmids. The list of plasmids and primers used in this study are mentioned in Sup Tables 3 and 4. DamID seq protocol All the steps for the DamID experiments including the molecular cloning to the multiplexed library preparation were followed according to ( G omez -S aldivar et al. 2021 ) and graphically described in Figure 1B . We confirmed excision of the mCherry cassette by PCR (sup Figure 1A). DNA extraction from frozen worm pellets was performed by using the DNeasy Blood and Tissue Kit (#69504; Qiagen, Valencia, CA), and further concentrated using ethanol precipitation. All the experiments were conducted using two biological replicates for each strain. 500 ng of DNA was used for every sample for digestion with DpnI followed by ligation of the adaptors and PCR amplification to generate DNA amplicons of each sample. For the intestinal DamID 18-22 PCR cycles were performed (sup Figure 1B, representative replicate 1). DNA amplicon purifications were performed after every step from the PCR amplification onwards using magnetic beads and DNA quantification was done using QUBIT. Library preparation included end repair, barcoding and pooling of the libraries to be loaded on the MinION mk1c Nanopore Sequencer. The run lasted for 72 hours yielding approximately 10 million reads, around one million reads per library (sup Figure 1C). DamID data processing The raw data obtained from the Oxford Nanopore Sequencing runs are in the form of a compressed fast5 file. This file is then processed in a number of steps including base-calling, quality check, demultiplexing, read mapping, DamID read filtering and finally DamID signal determination. The detailed steps for the bioinformatic analysis have been mentioned in ( G omez -S aldivar et al. 2021 ). Normalization for the protein of interest (POI) for GATC accessibility was calculated as the log2 ratio between the POI:: Dam signal versus the GFP::Dam (freely moving). The pipeline used to determine the DamID signal profile was downloaded from https://github.com/owenjm/damidseq_pipeline . The input for this pipeline is the bam file generated from raw data processing and the output is a bedGraph file which is used to visualize peaks or the binding regions of the protein of interest on the IGV browser. The number of peaks for each replicate is mentioned in sup Figure 1D . The normalized log2 POI::Dam/GFP::Dam bedGraph file is then used for the further downstream analysis. Peak calling and assignment of peaks BedGraph files for both the replicates from the previous step were used as an input to generate an average of the bedgraph files using the average tracks perl script available at https://github.com/owenjm/damid_misc . The average file was used to find significant peaks (false discovery rate (FDR < 0.05) with the output being a GFF file, using find_peaks Perl script (downloaded from https://github.com/owenjm/find_peaks ). Gene annotation of the statistically significant peaks (FDR< 0.05) was performed using the R package ChIPpeakAnno. Gene annotation was done using the reference genome C. elegans WBcel235 using the R package ensembldb. The R script is available on request. The average bedGraph files for each POI were used for visualization on IGV browser, generation of aggregation plots, analysis of genomic element and repeat element distribution, as well as hypervariable region enrichment. Venn diagrams for the comparison of overlaps between target genes of various datasets were performed using the online tool https://bioinformatics.psb.ugent.be/webtools/Venn/ and the statistical significance of the overlaps between the datasets was calculated using http://nemates.org/MA/progs/overlap_stats.html . Pearson’s correlation The Pearson’s correlation and principal component analysis was done using the online platform https://usegalaxy.org . The Pearson’s correlation was done using the multiBamSummary tool with a bin size of 300 bp. To plot the heatmap of the correlation between the samples, plotCorrelation tool was used on the multiBamSummary matrix. Aggregation plots and genomic element distribution The usegalaxy.org platform was used to generate aggregation plots and genomic element distribution. Aggregation plots comparing DamID data with other DamID data or ChIP-seq data were done using computeMatrix. The regions to be plotted were provided as a gff/bed file while the file to be scored were in the form of bedgraph/bigwig files. The reference point for the plotting was the center of the GFF/bed file and genomic regions 5000 bp upstream and downstream were considered. A bin size of 10 bp was used. The output file was used in the plotProfile tool to generate the aggregation plots and to observe the signal localization. For the representation of genomic element distribution for LET-418 and MEP-1, ChIPseeker tool was used. The hypervariable regions co-ordinates to look at the LET-418 and MEP-1 occupancy were obtained from ( L ee et al. 2021 ). Chromatin immunoprecipitation data were obtained from the following studies: H3K4me1,H3K4me3, H3K36me3 ( J anes et al. 2018 ), H3K9me2, H3K9me3, HPL-2, LIN-13, MET-2, LIN-61, LET-418 ( M cmurchy et al. 2017 ); H3K36me2, H3K27me3 ( Z aghet et al. 2021 ) and H3K79me3 from modENCODE Consortium ( https://www.encodeproject.org/ ) ( K udron et al. 2018 ). The NCBI SRR accession numbers of all the files are mentioned in Sup Table 7. Tissue enrichment and gene ontology Tissue enrichment analysis for the datasets was performed using the online tool available on Wormbase ( https://wormbase.org/tools/enrichment/tea/tea.cgi ) ( A ngeles -A lbores et al. 2016 ). Gene ontology analysis was done using the DAVID Functional Annotation Bioinformatics Microarray Analysis ( https://david.ncifcrf.gov/tools.jsp ) ( S herman et al. 2022 ). Repeat element distribution The reference repetitive elements list for C. elegans (WBcel235/ce11) was downloaded from the UCSC genome browser using the table browser tool. Group selected was variations and repeats and downloaded as a bed file. This file was edited to exclude simple repeats and low complexity regions. Bedtools intersect tool was used to get the intersection between the reference file and the DamID datasets. Bedtools fisher tool was used to determine the significance of this overlap. Microsporidia infections N. parisii spores were prepared as previously described in ( B alla et al. 2015 ). 1.26 million spores were combined with 10 µl 10x OP50 E. coli , 1,200 synchronized L1-stage C. elegans , and M9 buffer (total volume 300 µl). This mixture was then plated on 6 cm NGM plates, allowed to dry for 30 min at room temperature, and then incubated at 25 °C for 3 hours. Following incubation, the worms were collected using M9 buffer with 0.1% Tween 20, washed with PBS containing 0.1% Tween 20 (PBST), and fixed in 4% paraformaldehyde for 30 minutes. The fixed samples were then stained overnight at 46 °C using FISH probes conjugated with the red Cal Fluor 610 fluorophore, targeting ribosomal RNA ( R ivera et al. 2022 ). Analysis was performed using a Zeiss Axio Imager.M1 compound microscope. The data were plotted and statistically analyzed with GraphPad Prism software. RNAi assays RNA interference (RNAi) assays were performed using the feeding method ( T immons et al. 2001 ). Overnight cultures of HT115 E. coli were spread on RNAi plates (NGM plates supplemented with 5 mM IPTG and 1 mM carbenicillin) and incubated at room temperature in the dark for at least three days. RNAi clones were sourced from the Ahringer RNAi library, with the vector plasmid L4440 serving as a negative control. L4-stage animals were transferred to RNAi plates and maintained at 20 °C for four days. Gravid adults were then bleached to get eggs, that were incubated in M9 medium overnight to hatch into starved L1 larvae. Subsequently, 1,000 synchronized L1 larvae were transferred to RNAi plates. The plates were dried for 30 min at room temperature, then incubated at 20 °C for one hour, followed by incubation at 25 °C for 6 h (for animals with the pals-5p::gfp reporter) or 23 h (for animals with the pals-2::gfp reporter). Animals were anesthetized using 20 µM levamisole and mounted on agarose pads on glass slides for imaging. Imaging was conducted using a Zeiss Axio Imager.M2 compound microscope. The mean gray value (calculated as the ratio of integrated density to analyzed area) was determined for each animal and normalized against background fluorescence in FIJI program. The data were plotted and statistically analyzed with GraphPad Prism software RNA isolation and Transcriptomic analysis Wild type worms and let-418(s1617)/tmC16 mutant worms were synchronised to allow collection of around 1500 young adults. Three biological replicates of each strain were collected. RNA extraction was performed using TRIzol reagent (Invitrogen, Carlsbad CA, and then purified using the PureLink RNA Mini Kit (Invitrogen, Carlsbad CA,USA). The RNA samples were further processed and sequenced at the Next Generation Sequencing (NGS) Platform in Bern ( https://www.ngs.unibe.ch ). Data received in fasta format from NGS platform Bern was uploaded on https://useglaxy.org online platform for further analysis. The pipeline for analysis was followed as mentioned in ( R odriguez -C respo et al. 2022 ). Data Availability Raw files and processed files from the DamID experiment and RNA sequencing are available on ArrayExpress database at EMBL-EBI ( www.ebi.ac.uk/arrayexpress ) with accession numbers E-MTAB-14824 and E-MTAB-14522 respectively. Details for the source of ChIP-seq data are mentioned in the Supplementary Table 7. Strains and plasmids are available on request. Funding This work was supported by IZCOZ0_198093 (linked to COST Action CA18127 International Nucleome Consortium) and SNSF (Swiss National Science Foundation) Grants 31003A_179395 to CW. Acknowledgements The authors would like to thank the Caenorhabditis Genetics Center (CGC; cbs.umn.edu/cgc/home) and C. elegans Gene Knockout Consortium by S. Mitani at the Tokyo Women’s Medical University School of Medicine (Tokyo, Japan) for providing strains required for the experiments. Funder Information Declared Swiss National Science Foundation, https://ror.org/00yjd3n13 , IZCOZ0_198093 Swiss National Science Foundation, https://ror.org/00yjd3n13 , 31003A_179395 Footnotes Nomenclature in the title edited to italics. https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-14824 https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-14522 Bibliography ↵ Ahringer , J. , and S. M. Gasser , 2018 Repressive Chromatin in Caenorhabditis elegans: Establishment, Composition, and Function . Genetics 208 : 491 – 511 . OpenUrl Abstract / FREE Full Text ↵ Angeles-Albores , D. , N. L. RY, J. Chan and P. W. Sternberg , 2016 Tissue enrichment analysis for C . elegans genomics. BMC Bioinformatics 17 : 366 . OpenUrl CrossRef PubMed ↵ Bakowski , M. A. , C. A. Desjardins , M. G. Smelkinson , T. L. Dunbar , I. F. Lopez-Moyado et al. , 2014 Ubiquitin-mediated response to microsporidia and virus infection in C. elegans . PLoS Pathog 10 : e1004200 . 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Share The chromatin remodeler LET-418/Mi-2 regulates the intracellular pathogen response in the C. elegans intestine Shweta Rajopadhye , Vladimir Lažetić , David Rodriguez Crespo , Emily Troemel , Peter Meister , Chantal Wicky bioRxiv 2025.06.17.659900; doi: https://doi.org/10.1101/2025.06.17.659900 Share This Article: Copy Citation Tools The chromatin remodeler LET-418/Mi-2 regulates the intracellular pathogen response in the C. elegans intestine Shweta Rajopadhye , Vladimir Lažetić , David Rodriguez Crespo , Emily Troemel , Peter Meister , Chantal Wicky bioRxiv 2025.06.17.659900; doi: https://doi.org/10.1101/2025.06.17.659900 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Area Genomics Subject Areas All Articles Animal Behavior and Cognition (7635) Biochemistry (17691) Bioengineering (13892) Bioinformatics (41936) Biophysics (21452) Cancer Biology (18588) Cell Biology (25504) Clinical Trials (138) Developmental Biology (13378) Ecology (19899) Epidemiology (2067) Evolutionary Biology (24320) Genetics (15609) Genomics (22506) Immunology (17736) Microbiology (40394) Molecular Biology (17181) Neuroscience (88605) Paleontology (666) Pathology (2832) Pharmacology and Toxicology (4824) Physiology (7641) Plant Biology (15153) Scientific Communication and Education (2045) Synthetic Biology (4294) Systems Biology (9825) Zoology (2271)