Full text
67,926 characters
· extracted from
preprint-html
· click to expand
DNA-binding and dimerization of the SOG1 NAC domain are functionally linked with its ability to undergo liquid-liquid phase separation | 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 DNA-binding and dimerization of the SOG1 NAC domain are functionally linked with its ability to undergo liquid-liquid phase separation View ORCID Profile Kim Mignon , View ORCID Profile Rani Van der Eecken , View ORCID Profile Margot Galle , View ORCID Profile Manon Demulder , View ORCID Profile Joris Van Lindt , View ORCID Profile Lieven De Veylder , View ORCID Profile Henri De Greve , View ORCID Profile Remy Loris doi: https://doi.org/10.1101/2025.05.09.653017 Kim Mignon 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Kim Mignon Rani Van der Eecken 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Rani Van der Eecken Margot Galle 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium 3 Department of Plant biotechnology and Bioinformatics , VIB, Technologiepark 71, 9052 Zwijnaarde, Belgium 4 Center for Plant Systems Biology, VIB, Technologiepark 71 , 9052 Zwijnaarde, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Margot Galle Manon Demulder 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Manon Demulder Joris Van Lindt 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Joris Van Lindt Lieven De Veylder 3 Department of Plant biotechnology and Bioinformatics , VIB, Technologiepark 71, 9052 Zwijnaarde, Belgium 4 Center for Plant Systems Biology, VIB, Technologiepark 71 , 9052 Zwijnaarde, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Lieven De Veylder Henri De Greve 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Henri De Greve Remy Loris 1 Structural Biology Brussels, Vrije Universiteit Brussel , Pleinlaan 2, B-1050 Brussel, Belgium 2 Center for Structural Biology, VIB, Pleinlaan 2 , B-1050 Brussel, Belgium Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Remy Loris For correspondence: remy.loris{at}vub.be Abstract Full Text Info/History Metrics Supplementary material Preview PDF Abstract Liquid-liquid phase separation is a key phenomenon in the regulation of transcription in eukaryotes leading to the formation of so-called membraneless organelles. While transcription factors take part in several types of membrane-less organelles, it remains unclear how specific DNA binding, multivalent interactions with DNA/RNA and condensation are interlinked. Here we show that the NAC domain of SOG1 (SOG1 NAC ), a transcription factor that is central to the DNA damage response in plants, can undergo liquid-liquid phase separation in vitro in the presence of both RNA or double stranded DNA. This behaviour, as well as the ability of SOG1 NAC to bind DNA in a sequence-specific manner are dependent on its potential to form homodimers and the presence of a cluster of positive charges in its DNA binding site. Short double-stranded DNA fragments containing the sequence motif that is specifically recognized by SOG1 NAC inhibit RNA-mediated phase separation, suggesting overlapping binding sites for DNA and RNA. This may reflect a complex interplay between DNA and RNA binding that could control the formation of condensates at transcription sites. Introduction Many cellular functions such as RNA metabolism and processing, ribosome biosynthesis, gene regulation and stress responses involve the formation of membrane-less organelles (MLOs) (( 1 ), ( 2 ), ( 3 ), ( 4 ), ( 5 )). The latter are biomolecular condensates of specific macromolecular components that are formed via a process of liquid-liquid phase separation (LLPS). MLOs are typically dynamic in composition with fast exchange of components with their surroundings. The entropic cost associated with the formation of MLOs is overcome by favourable multivalent interactions between the biomolecules they consist of ( 1 ), ( 6 ). Membraneless organelles are implicated in transcriptional regulation during which many macromolecules, including transcription factors and RNA species cluster at specific genomic locations (for a review see ( 7 )). In general, eukaryotic transcription factors (eTFs) recognize and bind specific DNA motifs of 5-15 base pairs (bp) in promoter or enhancer sequences with their folded DNA-binding domains ( 8 ). Other components of the transcription machinery like coactivators, regulatory cofactors, and RNA polymerase II are recruited by multivalent protein-protein interactions with the intrinsically disordered transactivation domains (TAD) of eFTs ( 9 , 10 ). Henninger et al. (2021) proposed that the formation of transcription condensates is controlled by an RNA-mediated feedback mechanism. Low concentrations of RNA produced during transcription initiation promote condensation, while the burst production of mRNA during elongation leads to dissolution of the condensates ( 8 , 10 , 11 ). Research on LLPS of transcription factors has mostly focused on their intrinsically disordered domains. The latter often harbour low complexity regions that create multivalency and are more than folded domains prone to post-translational modifications. Both these properties haven proven to be key in LLPS (for reviews see ( 12 , 13 )). Also folded domains, and especially RNA and DNA binding domains of LLPS-prone proteins have been observed to influence the formation of MLOs ( 14 – 16 ). However, the link between LLPS and the ability of folded nucleic acid binding domains to specifically or non-specifically bind DNA or RNA is poorly understood. SUPPRESSOR of GAMMA RESPONSE 1 (SOG1) belongs to a large plant-specific family of NAC [NO APICAL MERISTEM (NAM), ARABIDOPSIS TRANSCRIPTION ACTIVATION FACTOR (ATAF), CUP-SHAPED COTYLEDON (CUC)] transcription factors that function in growth and development or respond to abiotic and biotic stresses ( 17 , 18 ). Among these, SOG1 activates more than 300 genes involved in DNA repair, cell cycle arrest or apoptosis in response to DNA damage in the model plant Arabidopsis thaliana ( 19 , 20 ). The protein consists of a conserved, folded DNA binding domain of 155 amino acids (called the NAC domain) followed by a highly divergent C-terminal domain (CTD) that is intrinsically disordered ( 21 , 22 ). SOG1 contains an additional 57 amino acid extension of unknown function that is lacking in most other NAC transcription factors ( 19 , 23 ). The transcriptional activation function of SOG1 is controlled by the phosphorylation of five SQ sites by the DNA damage sensing kinases ATM and ATR and by phosphorylation of a single CASEIN KINASE 2-dependent site ( 24 – 27 ). In this study we investigate the in vitro DNA binding of the folded NAC domain of Arabidopsis thaliana SOG1 (which will be called SOG1 NAC from now on). Next, we link its specific double-stranded DNA (dsDNA) binding to its potential to form functional homodimers and its ability to undergo DNA- and RNA-driven LLPS. In summary, we investigate the putative correlation between SOG1 NAC dimerization, specific and non-specific DNA/RNA binding and the potential for phase separating behaviour. We conclude that the NAC domain of SOG1 undergoes LLPS in the presence of RNA and dsDNA, and that this potential requires an intact DNA binding site and the formation of dimers. Materials and methods Proteins and nucleic acids The SOG1 amino acid (AA) sequence used in this paper corresponds to UniProt accension code Q6NQK2. The SOG1 NAC domain ranges from L58 to Q212. An overview of the DNA sequences that were used in the various experiments of this paper can be found in Table 1 . The single-stranded DNA (ssDNA) oligos of these sequences (and their reverse complements) and the used mRNA proxy called Polyadenylic acid potassium salt (poly-A, CAS number: 27416-86-0) were obtained from Sigma-Aldrich. View this table: View inline View popup Download powerpoint Table 1: Sequences of the DNA oligos used in this paper. The six CTT-AAG nucleotides of the CTT(N7)AAG “Ogita motif” or variations of these nucleotides are highlighted in bold text. Mutated nucleotides are written in italic. The reoccurring 31 bp oligos present in the two “Designed oligos” are underlined. The three 23bp potential binding sites within the pSMR5 97 bp oligo are also underlined. RC = reverse complement, to represent the binding motifs more clearly. Structure prediction of the SOG1 NAC -dsDNA complex The structure of SOG1 NAC in complex with the pBRCA1 31 bp oligo was predicted using AlphaFold3 ( 28 ). For this, two copies of the SOG1 NAC protein as well as one copy of the pBRCA1 31 bp ds-oligo were entered in https://alphafoldserver.com/ . Visualization and surface charge mapping were performed using PyMOL and the APBS Electrostatics plugin delivered by PyMOL ( 29 ). Cloning of the SOG1 NAC construct and its mutants The gene sequence of SOG1 NAC preceded by a 6xHis-tag was synthetically produced and cloned into the pET-11d vector via restriction-ligation (NcoI and BamHI) by Genscript. Site-specific mutagenesis was performed on this clone to obtain the three SOG1 NAC mutant clones: SOG1 NACΔ1-6 , SOG1 NAC-RKRR and SOG1 NAC-DNAstrand . In contrast to wild type SOG1 NAC , the SOG1 NACΔ1-6 mutant protein lacks the first six amino acids (ΔL58-K63). The SOG1 NAC-RKRR mutant contains following four mutations: R79A, K80A, R81A, and R82A. The SOG1 NAC-DNAstrand mutant harbours following five mutations: R93S, H95S, T97A, R99S and T100S. To obtain these three mutant clones, specific mutant primer sets were designed (Supplementary Table 1). The mutated reverse primers were used in combination with a forward primer containing an XbaI restrictive site (“ XbaI FW” ) to amplify the sequence of the SOG1 NAC clone upstream of the mutations with homologous regions of the pET-11d vector. The mutated forward primer was used in combination with a reverse primer with a mutated BamHI restrictive site to Acc651 (“ BamHI (to Acc651 mutated) RV”) to amplify the sequence of the SOG1 NAC clone downstream of the mutations with homologous regions of the pET11d vector. Via overlap PCR using primers XbaI FW and BamHI (to Acc651 mutated) RV , the whole coding sequences of the mutants with a 6xHis-tag were obtained. Subsequently the construct was cloned into the pET-11d vector at the XbaI and BamH1 site via Gibson Assembly. Positive colonies were selected with restriction enzyme Acc651 and correct insertion was confirmed by Sanger sequencing. Expression and purification of the SOG1 NAC domain and its mutants E. coli BL21(DE3) cells, transformed with a pET-11d vector carrying the gene sequence of SOG1 NAC or its mutants with an N-terminal 6xHis-tag, were inoculated in 1L LB medium with ampicillin (100 µg/ml) and grown at 37 °C until an OD 600 of 0.6-0.8 was reached. Protein expression was induced by adding 0.5 mM isopropyl β-D-1-thiogalactopyranoside (IPTG) and the cultures were incubated at a temperature of 16 °C for wild type (WT) SOG1 NAC and SOG1 NACΔ1-6 mutant and 23 °C for the SOG1 NAC-RKRR and SOG1 NAC-DNAstrand mutants. Cells were collected by centrifugation (5000 x g, 30 min) the next morning, except for the SOG1 NAC-DNAstrand mutant for which 2 hours of incubation was suoicient for optimal expression. Pellets of 2 L bacterial culture were resuspended in 30 mL lysis buoer (50 mM Tris pH 7.5, 500 mM NaCl, 10 % Glycerol, 2 mM Imidazole, 2 mM beta ME) supplemented with ½ protease inhibitor tablet (EDTA free cOmplete™ ULTRA tablets, Roche). Resuspended pellets were used immediately for purification or were flash frozen and stored at −80 °C until use. After thawing, the pellets were incubated for 20 min rotating at room temperature after adding 2 mM MgCl 2 an d 50 µg/ml DNase. Hereafter, the cells were lysed by sonication for 5 min with 5 sec ON/5 sec OFF cycles at 80 % amplitude using a VCX-70 Vibra Cell (Sonics). Next, samples were centrifuged at 35 000 x g for 45 min at 4 °C. The supernatant was filtered (0.45 µm) and loaded on a 1 mL HisTrap™ HP column (Cytiva) that was equilibrated prior with the lysis buoer. After loading the sample, the column was washed with lysis buoer. When the UV 280 st abilized, a step gradient over 6 column volumes (CV) of 2 %, 6 CV of 50 % and 6 CV of 100 % elution buoer (50 mM Tris pH 7.5, 500 mM NaCl, 10 % Glycerol, 1 M Imidazole, 2 mM beta ME) was applied to elute the bound proteins. The eluted fractions containing the protein of interest (POI) were loaded on a Superdex 75 16/90 column (GE Healthcare) equilibrated with gel filtration buoer (20 mM NaPi pH7.5; 150 mM NaCl; 1 mM TCEP). Peak fractions of the POI were pooled, flash frozen and stored at −80 °C. Circular dichroism (CD) Protein samples were buoer exchanged to 10 mM NaPi, pH 7.5 by dialysis. CD spectroscopy of the POI samples was performed on a Biologic MOS-500 spectropolarimeter using a 1 mm quartz cuvette (Hellma) at a POI concentration of approximately 0.25 µg/µl. Spectra were collected at 25 °C and at wavelengths ranging from 190 nm to 260 nm in steps of 1 nm. The buoer spectrum was subtracted from the raw CD data (both θ in mdeg) and the resulting CD spectra were normalized to molar ellipticity ([θ] in deg cm² dmol-1 res-1) using following formula : with MW the molecular weight in Da, C the concentration in mg/ml, l the cuvette path length in cm and N the number of amino acids. Analytical size-exclusion chromatography (SEC) Analytical SEC was performed on a Superdex 75 Increase 10/300 column (GE Healthcare) equilibrated with 20 mM NaPi pH 7.5, 150 mM NaCl and 1 mM TCEP. For each POI, the column was loaded with 500 µl of protein at a concentration of approximately 2 mg/ml. In a separate run, 200 µl of the Bio-Rad Gel Filtration Standard was loaded under the same conditions as those of the protein samples under investigation. Based on the elution volumes of the proteins present in the standard, the apparent molecular weights (MW) of the proteins in solution were determined. The apparent MW has the following linear relationship with the Kav retention factor ( 30 ): The latter is determined by following formula : with V e th e elution volume, V 0 th e void volume and V t th e total column volume. For each SEC set-up, the exact linear relationship is defined by plotting the logarithm of the MW values of the proteins in the standard (bovine thyroglobulin = 670 kDa, bovine γ-globulin = 158 kDa, chicken ovalbumin = 44 kDa, horse myoglobin = 17 kDa and vitamin B12 = 1.35 kDa) as a function of its Kav-value and fitting a linear regression curve (using the least square method) through these data points. Finally, using the equation of the regression curve, the apparent molecular weights of the proteins in solution could be determined based on their elution volumes. Dynamic light scattering (DLS) DLS measurements were performed using a DynaPro NanoStar (Wyatt) device and the data were analysed using the DYNAMICS 7.10.1.21 software. Growth of droplets was followed by adding poly-A to spin-filtered SOG1 NAC to induce LLPS. A reaction with following reaction conditions was set up in triplicate: 20 µM protein and 25 µg/ml poly-A in 9.1 mM phosphate buoer, 68 mM NaCl, 0.45 mM TCEP. Every 5 minutes, five acquisitions of 8 seconds were measured for 4 hours at room temperature. Electrophoretic mobility shift assay (EMSA): regular and 32 P-labelled Unlabelled dsDNA fragments used during EMSA experiments were obtained by hybridising two complementary ssDNA oligos for 10-15 min at 99 °C and subsequently letting the sample cool down slowly to room temperature (duration approximately 1.5 h). Varying concentrations of POI and hybridised dsDNA at 2 µM were mixed in 20 mM sodium phosphate pH 7.5, 150 mM NaCl and 1 mM TCEP. Binding reactions were carried out in a total volume of 10 µl at 25 °C for 25 min. Hereafter, 2 µl of loading dye (25 % ficoll, 0.1 % xylenexyanol and 0.1 % bromophenol) was added to each sample. Samples were run on a 13 % native polyacrylamide gel prepared with 1 x TBE (89 mM Tris Base, 89 mM Boric acid, 2.5 mM EDTA) that was pre-ran at 100 V for 30 min. Electrophoresis was performed at 120 V until the fastest migrating dye reached 2/3 rd of the length of the gel. Gels were stained for 15 min with ethidium bromide or GelRed® for DNA visualisation. For radioactive EMSAs with SOG1 NAC , a (5’- 32 P) single-end-labelled 99 bp DNA fragment of pBRCA1 was used. The ssDNA oligo of this fragment was first labelled with [γ 32 P]-ATP (PerkinElmer) by T4 polynucleotide kinase (Fermentas). Next, dsDNA was obtained by hybridizing the labelled ssDNA oligo with the complementary oligo using the method described previously. Subsequently, the hybridized, labelled, dsDNA fragment was purified from gel (6 % polyacrylamide gel electrophoresis) as described in ( 31 ). Varying concentrations of SOG1 NAC and labelled DNA at 15 000 counts per minute (cpm) were mixed in 20 mM sodium phosphate pH 7.5, 1 M TCEP and 50, 150, 300 or 500 mM NaCl. Binding reactions were carried out in a total volume of 20 µl at 25 °C for 25 min. After the addition of 3 µl loading dye (25 % ficoll, 0.1 % xylenexyanol and 0.1 % bromophenol), samples were run on a 10 % polyacrylamide gel prepared with 1 x TBE (89 mM Tris Base, 89 mM Boric acid, 2.5 mM EDTA) that was pre-ran 100 V for 30 min. Electrophoresis was performed at 120 V until the fastest migrating dye reached the bottom of the gel. X-ray sensitive films were used for visualisation. Isothermal titration calorimetry (ITC) ITC measurements were carried out on a MicroCal PEAQ-ITC system (Malvern) at 25 °C and in 20 mM NaPi pH 7.5, 150 mM NaCl and 1 mM TCEP. The DNA samples (obtained in the same way as for the unlabelled EMSA experiments) were loaded into the sample cell at concentrations ranging between 6 and 9 µM. Protein samples were loaded into the syringe at concentration ranging between 155 and 190 µM. For the measurements, a reference power of 10 µcal/s and a stirring speed of 750 rpm were used. Each measurement entailed 20 injections of 2 µl with 150 s intervals, preceded by a first test injection of 0.4 µl. Prior to the start of each run, an initial delay of 300 s was included. For data integration and determining the best fitted binding model for the resulting binding isotherms, the MicroCal Peaq-ITC Analysis Software (version 1.41, Malvern Panalytical) was used. In all cases the “one set of sites” model was used for fitting the binding isotherms, which assumes the presence of one binding site (protein dimer/dsDNA) or any number of sites with the same K D an d ΔH. The equations describing this model are provided in the Malvern Microcal PEAQ-ITC user manual ( 32 ). Turbidity assay Absorbance of mixed protein and poly-A samples in total volume of 30 µl was measured in triplicate at 390 and 600 nm in non-binding 384 black well plates with transparent bottom (Greiner bio-one, µClear®). Measurements were performed on a SynergyTM Mx plate reader at room temperature in 9.1 mM phosphate buoer, 68 mM NaCl, 0.45 mM TCEP. Phase separation was induced by addition of poly-A right before starting the measurement for minimum 30 minutes. Microscopy Droplet formation was visualized using a Leica DMi8 microscope connected to a Leica DFC7000 GT camera. Reactions of 25 µl in volume (25 mM phosphate, pH 7.5, 75 mM NaCl, 0.5 mM TCEP or 9.1 mM phosphate, pH 7.5, 68 mM NaCl, 0.45 mM TCEP) with fluorescently labelled proteins and/or nucleic acids and unlabelled molecules in excess were prepared in non-binding 384 black well plates with transparent bottom (Greiner bio-one, µClear®). Prior to visualization with an 100x immersion oil objective, the plates were incubated on ice for 10 minutes. The SOG1 NAC protein and its mutants were labelled with Dylight 488 (Thermofisher scientific™) according to the manufacturer’s protocol. Poly-A was labelled with Cy5 using pCp-Cy5 (Jena Bioscience) and T4 RNA ligase (Thermofisher scientific™). Cy5-labeled DNA oligos were obtained from Integrated DNA Technologies. Green fluorescence was detected by using a FITC filter. Red fluorescence was detected by a Rhodamine filter. All experiments were performed in duplicate. Fluorescence recovery after photobleaching (FRAP) Samples preparation is identical to the one described above for the microscopy experiments. Firstly, 10 pre-bleaching images were taken every 50 msec. Next bleaching was performed for 50 msec with a laser at 488 nm with 100% intensity. Finally, post-bleaching images were recorded each second for 2-3 minutes. Biolayer interferometry (BLI) BLI competition assays using nucleic acids, DNA and RNA, and POI bait were performed using an Octet 96 Red instrument in 10 mM phosphate, pH 7.5, 75 mM NaCl, 0.5 mM TCEP at room temperature while shaking at 1000 rpm. Ni-NTA biosensors (Satorius) were loaded with 5 µg/ml of 6xHis-tagged SOG1 NAC or its mutants to attain a shift between 4 and 4.5 nm, followed by a baseline in buoer for 120 seconds. Next, association of 0.5 µM poly-A for 240 seconds and a second association with dioerent concentrations BRCA1 or random 31 non-target oligo was performed. Results The SOG1 NAC dimer binds specifically to DNA in vitro The in vivo DNA binding specificity of Arabidopsis thaliana SOG1 has previously been investigated ( 19 , 20 ). Using ChiP-seq and microarray experiments, Ogita et al. (2018) proposed the palindromic consensus sequence CTT(N) 7AA G as the binding motif of SOG1 ( 19 ). This “Ogita motif”, however, occurs only in 51 % of the identified SOG1 targets. In a dioerent study, Bourbousse et al. (2018) identified enriched sequence motifs present in the promoters of gene groups that are upregulated by SOG1 in response to genotoxic stress, as potential SOG1 binding sites (Supplementary Figure S1) ( 20 ). The “Bourbousse motifs” are similar to each other. And despite being less restrictive than the CTT(N) 7AA G consensus sequence, the latter is nevertheless included in all three of them, confirming this sequence as a putative binding motif for SOG1. To confirm these in vivo results in vitro , EMSA experiments were carried out using SOG1 NAC and a 49 bp, ds fragment of the BRCA1 gene promoter ( pBRCA1 ), an established in planta target of SOG1 ( Figure 1A , Table 1 ) ( 19 ). The pBRCA1 fragment contains the putative CTT(N) 7AA G Ogita motif and matches with the Bourbousse motifs (Supplementary Figure S1). SOG1 NAC shows specific binding to the pBRCA1 fragment, but not to a randomly generated dsDNA fragment of the same length lacking the Ogita and Bourbousse motifs ( Table 1 ) - from now called non-target DNA ( Figure 1A ). For the latter, only a transient protein-DNA complex is visible, which is likely formed via non-specific electrostatic interactions between the negatively charged DNA and the overall positively charged NAC domain( Figure 2D ). This complex is also visible with pBRCA1 DNA in presence of excess SOG1 NAC ( Figure 1A ). Download figure Open in new tab Figure 1: SOG1 NAC binds specifically to DNA (2μM) in vitro. (A) Binding motif located on pBRCA1 and EMSA of SOG1 NAC with a 49 bp dsDNA fragment of pBRCA1 DNA with this motif and a 50 bp fragment of randomly generated, non-target dsDNA. (B) EMSA of SOG1 NAC with pBRCA1 dsDNA oligos of decreasing length, all centrally containing the binding motif. (C) EMSAs of SOG1 NAC with a WT and mutated 31 bp ds oligo of pBRCA1. (D) EMSAs of SOG1 NAC with a WT and mutated 31 bp ds oligo of pRAD51. Download figure Open in new tab Figure 2: The SOG1 NAC dimer binds with nanomolar aZinity to pBRCA1 DNA. (A) & (B) ITC of SOG1 NAC with a 31 bp pBRCA1 ds oligo (containing the complying binding site) and a randomly generated, non-target dsDNA fragment of 31 bp, respectively. Upper graphs show the raw heat plot, lower graph show the integrated heat plot. (C) Signature plot of SOG1 NAC binding to target 31 bp pBRCA1 DNA. (D) Surface charge map of the SOG1 NAC dimer in complex with dsDNA, as predicted by AlphaFold3. The specificity of SOG1 NAC for the binding site on the pBRCA1 fragment was further confirmed by probing two designed 95 bp dsDNA oligos: one containing two 31 bp pBRCA1 binding sites connected by a random linker and one containing only one such 31 bp site connected by the same linker to a 31 bp non-target DNA fragment ( Table 1 , Supplementary Figure S2). The data obtained indicates that SOG1 NAC specifically targets the binding site on the pBRAC1 fragment as two bands of specifically bound protein-DNA complex are present for the first DNA oligo, whereas only one band is observed with the second oligo. The binding site of SOG1 NAC on pBRCA1 was further delineated using fragments of decreasing lengths. The minimal length of the SOG1 NAC binding site lays between 17 and 23 bp ( Figure 1B , Table 1 ). The six CTT-AAG nucleotides that are separated by the N 7-l inker in the CTT(N) 7AA G Ogita motif appear to be critical for binding of pBRCA1 as mutations therein result in weak non-specific binding only ( Figure 1C ). The same result is obtained when this motif is mutated in the context of a RAD51 promoter fragment. The latter is also a confirmed SOG1 target and contains a binding motif complying to the Bourbousse motifs including the CTT(N) 7AA G sequence ( Figure 1D , Supplementary Figure S1, Table 1 ). The loss of specific DNA binding likely explains why the same mutations in the RAD51 promoter in planta result in the ΔRAD51 phenotype of A. thaliana transgenic plants upon genotoxic stress ( 19 ). SOG1 NAC binds to pBCRA1 as a dimer with nanomolar aUinity Generally, NAC transcription factors form homodimers and bind to DNA as a dimer. Using analytical SEC, the apparent molecular weight of the SOG NAC in solution was determined to be 55.7 kDa (Supplementary Figure S3A). This value is larger than the theoretical value of 39.4 kDa for a homodimer and may result from the non-globular shape of the SOG1 NAC dimer. To assess the stoichiometry and aoinity of SOG1 NAC interacting with DNA, ITC was performed with the 31 bp pBRCA1 ds oligo containing the binding site and the non-target dsDNA fragment of the same length ( Figure 2A &B). The ITC results confirm the specificity of SOG1 NAC for the pBRCA1 DNA observed in EMSA experiments. Furthermore, the results show that the binding of the NAC domain to the DNA is an exothermic reaction and that SOG1 NAC binds as a dimer to the DNA, which is in line with the behaviour of other NAC TFs ( 33 , 34 ). The dissociation constant (K D) was determined to be 145 nM and the reaction is enthalpy driven ( Figure 2A &C). AlphaFold3 structure predictions of SOG1 NAC bound to pBRCA1 DNA suggests a cluster of positive charges on the NAC surface to be involved in DNA binding ( Figure 2D ), similar to what was previously observed for ORE1 ( 34 ). These positively charged regions are presumed to give rise to the non-specific, transient DNA binding observed in the EMSA experiments. In consequence, altering the buoer salt content and thus the ionic strength influences the aoinity of the interaction between SOG1 NAC and pBRCA1 (Supplementary Figure S4). SOG1 NAC specifically targets the Bourbousse binding motifs The CTT(N) 7AA G Ogita motif covers only half of the in vivo identified targets of SOG1, suggesting that the presence of this motif alone does not suoice as sole SOG1 binding prerequisite. In contrast, the Bourbousse motifs are more elaborate. The pBRCA1 site that was extensively used in this research thus far, matches the Ogita motif as well as all three Bourbousse motifs. The promoter region of the SMR5 gene ( pSMR5 ), another in vivo target of SOG1 ( 19 , 35 ) contains three potential SOG1 binding sites ( Table 1 ). Of these, site 1 contains the CTT(N) 7AA G Ogita motif and is also compatible with the Bourbousse motifs. Site 2 does not contain CTT(N) 7AA G, but is still compatible with a Bourbousse motif. Finally, site 3 does again contain the CTT(N) 7AA G Ogita motif, but is otherwise not compatible with any of the Bourbousse motifs (Supplementary Figure S1). An EMSA with pSMR5 dsDNA shows two bands of protein-DNA complex, suggesting the presence of only two functional binding sites ( Figure 3A ). Download figure Open in new tab Figure 3: The Bourbousse identified motifs best describe the SOG1 NAC binding site. (A) Putative binding motifs present on pSMR5: site 1 and 2 contain Bourbousse motifs, while site 1 also confirms to the Ogita motif. Site 3 only contains an Ogita motif. EMSA of SOG1 NAC with a 95 bp dsDNA fragment of pSMR5 containing all three sites. (B) EMSA of SOG1 NAC with 31 bp dsDNA fragments of the three putative binding sites present on pSMR5, showing only aZinity for the Bourbousse motifs. (C) Binding motifs present on pXRI1 and pTKa1, both containing a Bourbousse motif without including an Ogita motif. EMSA of SOG1 NAC with 31 bp dsDNA fragments of pXRI1 and pTKa1. To detect to which two sites SOG1 NAC binds, EMSAs were performed with shorter dsDNA fragments that each contain one of the three putative binding sites ( Figure 3B ). These show that SOG1 NAC only binds to the two sites that contain an identified Bourbousse motif and that the CTT(N) 7AA G Ogita motif appears to be too exclusive to define the binding site as no specific binding is observed. Further confirmation of the Bourbousse motifs as the true interaction sites for SOG1 NAC comes from EMSA experiments utilizing XR1 and TKA1 promoter fragments ( pXRI1 and pTKa1 ). These in vivo SOG1 targets both encompass Bourbousse motifs (Supplementary Figure S1) without including the CTT(N) 7AA G motif (G to T substitution in final position of the motif; Figure 3C ) ( 19 ). SOG1 NAC is able to bind both ds promoter fragments with a similar aoinity as for the pBRCA1 binding site. This confirms that the more general motifs defined by Bourbousse and co-workers better describe the target binding site of SOG1 and that the strict CTT(N) 7AA G consensus site is too restrictive. Additional base pairs surrounding the CTT(N) 7AA G motif likely also play a role and variations on this motif are also possible within this context. SOG1 NAC undergoes nucleic acids-driven phase separation in vitro To better understand our observation that mixtures of purified SOG1 NAC and nucleic acids become turbid over time, the optical density at 390nm (OD 390) was measured after mixing SOG1 NAC with poly-A RNA. SOG1 NAC evolves a turbidity profile that is typical for many phase separating proteins: an increase of OD 390 fo llowed by a decrease that stabilizes to a baseline ( Figure 4A ) ( 36 ). From this data, a re-entrant phase behaviour is observed. The OD 390nm ma xima that are reached in the OD 390 ve rsus time profiles increase with rising concentrations of poly-A, but decline starting at concentrations poly-A between 100-250μg/ml until the signal eventually no longer detectable is ( Figure 4B ). Formation of spherical droplets for varying protein and poly-A concentrations was confirmed using fluorescence microscopy ( Figure 4C and Supplementary Figure S5). Through dual colour labelling, SOG1 NAC and poly-A were demonstrated to co-integrate into the droplets ( Figure 4D ). Interestingly, both droplets with a hollow shell-like fluorescence pattern and droplets with an even solid fluorescence pattern are observed ( Figure 4E ). Variation of the ionic strength does influence turbidity profiles of SOG1 NAC -poly-A mixtures indicating that electrostatic interactions are involved in the phase behaviour ( Figure 4F ), as was also seen for the DNA binding experiments. In contrast to salt concentrations between 68 and 100 mM NaCl, a substantial drop in turbidity is observed for higher salt concentrations containing 150 mM NaCl. Droplet growth in function of time was mapped by DLS for 4 hours ( Figure 4G ). The hydrodynamic radius R h in function of time follows Ostwald ripening for the first two hours (Kraska 2008), highlighting the dynamic and liquid-like nature of the droplets that are initially formed ( 37 ). After two hours, the droplets size stabilizes. FRAP of a ten minute old reaction shows limited recovery of 27 percent, two minutes post bleaching ( Figure 4H ). Remark that for a subset of droplets recovery was observed exclusively in their outer layers, reminiscent of the previously mentioned droplets with shell-like fluorescence pattern. This indicates that while there is a significant mobile fraction present in the condensates, there is also a less mobile fraction present. Download figure Open in new tab Figure 4: RNA-dependent phase behaviour of SOG1 NAC . (A) Turbidity profiles of NAC in function of time at 390nm (left panel) and phase-diagram of NAC at diZerent concentrations poly-A based on turbidity profiles (right panel). (B) OD390 versus poly-A concentrations: re-entrant phase behaviour with increasing OD390 signals for increasing poly-A concentrations that drop again for even higher concentrations. (C) Fluorescence microscopy image of DyLight488-labeled protein (SOG1 NAC , SOG1 NAC –DNAstrand mutant, SOG1 NAC - RKRR mutant and SOG1 NACΔ1-6 ) in presence of poly-A RNA for diZerent concentrations. (D) Fluorescence microscopy image of co-integration of DyLight488-labeled NAC and Cy5-labeled poly-A RNA in spherical droplets. (E) shell-like and fully coloured droplets of DyLight488 labelled NAC in presence of unlabelled poly-A. (F) OD390 versus NaCl concentrations for reactions with 20 µM SOG1 NAC and 25 µg/ml poly-A. (G) Droplet growth of a reaction with 20 µM SOG1 NAC and 25 µg/ml poly-A followed by dynamic light scattering. (H) FRAP of a droplet with 20 µM SOG1 NAC and 25 µg/ml poly-A (green fluorescence on the right and heat map on the left). Next, we investigated if addition of dsDNA to SOG1 NAC similarly could induce phase separation. DNA fragments used include the full 310 bp promoter sequence of BRCA1, the 31 bp pBRCA1 ds oligo containing the Ogita/Bourbousse binding motif and the 293 bp promoter of the non-target house-keeping gene UBQ10 ( Figure 5A ). Small condensates were formed in SOG1 NAC mixtures with the short 31 bp pBRCA1 fragment, while shell-like droplets and irregular structures (called clusters) are formed in presence of the longer 310 bp fragment or the 293 bp non-target sequence. The higher the concentration of dsDNA, the more cluster-like structures are present ( Figure 5B ). Interestingly, FRAP experiments confirm a dynamic behaviour of those droplet clusters with a recovery of around 80 % after two minutes ( Figure 5C ). This discrepancy in recovery rate between dsDNA and poly-A driven LLPS may indicate a dioerent internal structure. Download figure Open in new tab Figure 5: DNA-driven phase separation of SOG1 NAC and its mutants (A) with pBRCA1 31 bp oligo, and target versus non-target DNA promoter sequences. (B) with diZerent concentrations of the promoter sequence of BRCA1 target. (C) FRAP on irregular clusters of 20µM NAC and 12.5 µg/ml BRCA1 promoter sequence (310 bp). Dimerization of the SOG1 NAC domain is required for spherical droplet formation and proper DNA-binding We next investigated whether dimerization is required for SOG1 NAC DNA-binding and phase separating behaviour. Based on AlphaFold3 structural predictions of the SOG1 NAC dimer, a truncation mutant lacking the N-terminal β-strand (ΔL58-K63) was designed (from now called SOG1 NACΔ1-6 ). The SOG1 NACΔ1-6 protein has an estimated molecular weight of 19.8 kDa as measured using analytical SEC, confirming a (globular) monomeric state in contrast to the non-truncated SOG1 NAC that eluted as a dimer (Supplementary Figure S3A). The CD-profiles of SOG1 NAC and SOG1 NACΔ1-6 are similar with a negative peak around 220 nm indicating the presence of predominantly β-sheets in both proteins (Supplementary Figure S3B). Despite being monomeric, SOG1 NACΔ1-6 still binds to the 31 bp pBRCA1 ds oligo, but with lower aoinity compared to wild-type SOG1 NAC ( Figure 6A &B). The aoinity and stoichiometry could not be further assessed by ITC, because the SOG1 NACΔ1-6 protein is too unstable at the higher concentrations used for this. This implies that dimerization is needed for the intrinsic stability of the isolated NAC domain. The decrease in aoinity is likely due to the independent binding of the SOG1 NACΔ1-6 monomers compared to the avidity generated via a stable dimer, although a lower thermodynamic stability of SOG1 NACΔ1-6 may also play a role. Download figure Open in new tab Figure 6: DNA binding of SOG1 NAC and its mutants. (A), (B), (C) & (D) EMSA of WT SOG1 NAC , SOG1 NACΔ1-6 (=monomer), the SOG1 NAC-DNAstrand mutant and the SOG1 NAC-RKRR mutant, respectively, with a 31 bp ds oligo of pBRCA1 containing the SOG1 NAC binding site. SOG1 NACΔ1-6 shows a changed LLPS behaviour as the formation of spherical droplets in presence of poly-A is no longer observed. Instead, irregular structures are formed ( Figure 4C and Supplementary Figure S5). In presence of DNA, phase separation is again defective. No spherical droplets are observed, but occasionally cluster-like structures appear. This suggest that dimerization is required for spherical droplet formation by both RNA- or and DNA-driven LLPS. Two positively charged clusters of SOG1 NAC link DNA-binding with RNA- and DNA-driven LLPS AlphaFold3 structure predictions of SOG1 NAC bound to the 31 bp pBRCA1 fragment reveal two segments rich in positively charged amino acids that likely determine DNA specificity due to their proximity to the nucleotides making up the target binding site. These are a loop encompassing residues R136-R139 and a β-strand encompassing residues R150-T157 (residues positioned on the full length protein) (Supplementary Figure S6). The corresponding segments in the NAC domains of ANAC019 and ORE-1 dioer in amino acid sequence, but also constitute the DNA binding site ( 33 , 34 ). Two SOG1 NAC mutants harbouring mutations in these two putative DNA binding segments were designed. For both mutant proteins, the positive charges were mutated to non-charged amino acids. The first mutant is referred to in this paper, is the SOG1 NAC-RKRR mutant that has following mutations: R79A, K80A, R81A, and R82A. The second is called the SOG1 NAC-DNAstrand mutant with mutations R93S, H95S, T97A, R99S, and T100S, which are located in the β-strand that docks into the major DNA-groove. CD spectra of both mutants are very similar to that of the WT SOG1 NAC protein, indicating proper folding (Supplementary Figure S3B). Both elute at approximately the same volume as wild-type SOG1 NAC in analytical SEC: apparent molecular weights of 67, 4 and 58, 2k Da for SOG1 NAC-RKRR and SOG1 NAC-DNAstrand mutant, respectively. We therefore assume that, like SOG1 NAC , the mutants maintain their ability to form homodimers in solutions (Supplementary Figure S3A). EMSA experiments performed with both mutants and the 31 bp pBRCA1 fragment show a complete loss of DNA binding capabilities ( Figure 6C &D). This indicates that both structural elements that were mutated in these NAC domain variants are essential parts of the DNA binding site. Furthermore, it implies that SOG1 NAC employs a similar binding mechanism as ANAC019 and ORE-1 that is presumably conserved within the entire family of NAC transcription factors ( 33 , 34 ). We next investigated if the cluster of positive charges that is essential for DNA binding is also DNA- or RNA-mediated phase separation ( Figure 5B ). DNA-mediated phase separation is abolished for both mutants, confirming that an intact DNA binding site, or at least the presence of positive charges, is essential for multivalent protein-DNA interactions. RNA-driven phase behaviour of the two mutants is altered compared to wild-type SOG1 NAC . However, RNA-induced phase behaviour is not completely abolished. For the SOG1 NAC-DNAstrand mutant, small droplets are still formed in most of the conditions tested ( Figure 4C and Supplementary Figure S4). The intact RKRR loop is suggested to on its own be able to support the LLPS potential of the SOG1 NAC-DNAstrand mutant with DNA. Altogether, these results establish a functional link between the DNA-binding potential of SOG1 NAC and its ability to undergo phase separation both with RNA and DNA. The phase-separating behaviour of SOG1 NAC is controlled by a tight interplay between DNA and RNA binding The results above suggest that both RNA and DNA bind to overlapping regions on the surface of SOG1 NAC . Therefore, the question follows whether DNA and RNA can co-integrate in the SOG1 NAC condensates or if one would exclude the other. We first challenged poly-A-SOG1 NAC condensates with the addition of pBRCA1 31 bp oligo. Below equimolar concentrations SOG1 NAC dimer and DNA, the DNA fragment can integrate in the RNA-induced condensates ( Figure 7A ). However, increasing pBRCA1 31 bp oligo concentrations weakens the RNA-driven phase behaviour. At equimolar concentrations of SOG1 NAC dimer and the pBRCA1 31 bp target sequence, poly-A induced condensates of SOG1 NAC are fully dissolved. The pBRCA1 31 bp DNA target competes with RNA and prevents poly-A driven condensation by excluding poly-A from the droplets. This agrees with the hypothesis that poly-A and the pBRCA1 31 bp oligo bind to the same or overlapping sites on SOG1 NAC . Binding of the pBRCA1 31 bp oligo to SOG1 NAC presumably breaks the multivalent dynamic SOG1 NAC -RNA interactions, that stabilize the condensates, although few small condensates still form. Download figure Open in new tab Figure 7: Competition assays RNA versus DNA-binding of SOG1 NAC - Fluorescence microscopy to visualize RNA and DNA cointegration in poly-A-induced SOG1 NAC condensates. 10 µM SOG1 NAC dimer (green fluorescence) in presence of 25 ug/ml poly-A (left: unlabelled, right: red fluorescence) was titrated with various amount DNA (left: red fluorescence, right: unlabelled), either pBRCA1 31 bp DNA oligo (A) or Random 31 bp DNA oligo (B). Bio-layer interferometry of immobilized SOG1 NAC and poly-A RNA versus various concentrations pBRCA1 31 bp DNA oligo (C) and random non-target DNA oligo compared to pBRCA1 31 bp DNA oligo and no DNA (D). When this competition experiment is repeated with a non-specific DNA fragment of the same length ( Figure 7B ), again poly-A is excluded from the droplets at a 1:1 molar ratio. Dioerently, more droplets are assembled with SOG1 NAC and non-target DNA at this equimolar ratio. Probably, no stable soluble SOG1 NAC -non-cognate DNA complexes are formed and transient and weak multivalent protein-DNA interactions involving a non-cognate DNA sequence enable DNA-driven condensation. The finding that DNA with a specific SOG1-binding motif can outcompete RNA is supported by a biolayer-interferometry (BLI) competition assay ( Figure 7C ). After association of poly-A to immobilized SOG1 NAC , subsequent dipping in pBRCA1 31 bp oligo results in a dissociation profile for which the observed k o? ra te is clearly higher than when poly-A is released from SOG1 NAC in absence of the DNA fragment. For non-target DNA, no such dissociation is observed ( Figure 7D ), thus in line with ITC results where no binding is detected for non-target DNA. Discussion SOG1 is a plant transcription factor central to the DNA damage response in which it takes on the role of mammalian p53 ( 23 ). Upon genotoxic stress, it controls the transcription of around 300 genes, either directly or indirectly. The target binding sites of SOG1 have been previously studied in vivo using ChIP-sequencing and RNA sequencing by two groups independently resulting in somewhat similar conclusions ( 19 , 20 ). Here we show that SOG1 NAC target sequences are best described by the Bourbousse DNA motifs enriched in the gene groups that are mostly upregulated by SOG1 upon genotoxic stress. The CTT(N) 7AA G motif identified by Ogita et al., 2018 is too restrictive as this motif can be perturbed by two nucleotides without loss of SOG1 NAC binding and residues outside of the CTT(N) 7AA G motif also aoect in vitro binding. As observed for other NAC TFs, SOG1 NAC binds to DNA as a dimer. Truncated, monomeric SOG1 NAC binds target DNA with substantially decreased aoinity. This is likely due to the avidity advantage of the dimer or loss of intrinsic stability of the monomer. In addition, mutating two positively charged segments that are implicated in DNA recognition in ANA019 and ORE1 (RKRR and DNA-strand regions on SOG1 NAC ) abolish DNA binding. From this we concluded that SOG1 NAC uses a similar mechanism for operator recognition as other NAC transcription factors which is canonical for this family ( 33 , 34 ). We further show that SOG1 NAC displays phase separation in vitro in presence of RNA as well as DNA. Of interest here is that SOG1 NAC is a fully folded, globular protein. The majority of the available literature as of yet typically focuses on the importance of intrinsically disordered and low complexity domains in LLPS, downplaying the contribution of folded domains within a larger LLPS-prone protein containing IDR regions (for a review see ( 16 )). Functional LLPS of fully folded proteins is rare. While LLPS can typically be induced at high concentrations using crowding agents as initially observed for lysozyme (( 38 )), only few do so under physiological conditions, a rare example being E. coli Lipoate-protein ligase A ( 39 ). Folded domains typically drive LLPS when present as repeats in a beads-on-a-string format that creates multivalency or when interactions with LLPS partners induce unfolding (for a review see: ( 16 )). Phase separation by SOG1 NAC involves a fully folded dimer. The potential of SOG1 NAC to phase separate in presence of nucleic acids is shown to be functionally linked to its ability for specific DNA binding and dimerization, and therefore seems to require a folded state. Monomeric SOG1 NAC does not form spherical condensates, and dimerization therefore contributes to the multivalency required to phase separate. Dimerization via a folded domain has been shown to be essential to enable LLPS of other proteins such as G3BP1 in the RNA-driven assembly of stress granules ( 40 ). Dimerization by its NTF2L domain allows to increase the valency of the separate RNA-binding domain. For SOG1 NAC both functions are sequestered on a single folded entity. LLPS is a key component of regulation of transcription and translation, involving a complex interplay between the components involved: transcription factors, DNA, RNA polymerase, RNA, the mediator complex, chromatin and a variety of other regulatory proteins ( 7 , 41 ). The RNA-dependent phase behaviour of the conserved SOG1 NAC implies an RNA-mediated feedback control mechanism for the formation of condensates at transcription start sites, corresponding to the model proposed by Henninger et al. (2021) ( 11 ). According to this model, condensate formation at transcription sites is abolished in the presence of too high concentrations of mRNA. The latter is mimicked by the re-entrant phase behaviour of SOG1 NAC seen in presence of poly-A. A similar re-entrant RNA-dependent phase behaviour was observed for the human androgen receptor where its folded DNA-binding domain serves as the minimal region driving LLPS ( 14 ). A tight and complex interplay between DNA (target versus non-target) and RNA binding controls the formation of condensates at transcription sites. For SOG1 NAC , RNA and dsDNA compete with each other for LLPS. Mutations that abolish specific DNA binding of SOG1 NAC also induce an altered DNA- and RNA-dependent phase separation behaviour compared to the wild-type protein. This suggests that the binding site for specific DNA binding overlaps with that for both non-specific DNA and RNA recognition that drives LLPS, allowing DNA specificity to influence the LLPS behaviour of SOG1 NAC . This agrees with similar dioerential behaviour of other transcription factors where both RNA- and DNA-mediated condensation benefit from sequence-specific interactions (for a review see ( 42 )). The interplay between RNA- and DNA-induced LLPS is an essential part of transcription; typically transcription factors first undergo DNA-driven LLPS to initiate transcription, while the resulting RNA accumulation subsequently transit the TFs into RNA-driven LLPS. The behaviour of SOG1 with respect to the competition between RNA and DNA reported on in this manuscript reflects this switch in LLPS driving force. Competition of DNA and RNA for a shared or overlapping binding site may form the structural basis for the transition between two types of transcription-related condensates. Funding This work was supported by an FWO-Vlaanderen grant to R.L. and L.D.V. [G011420N] and FWO PhD fellowships to K.M. [1103622N] and M.D. [1S18116N]. Acknowledgments We thank Dr. Indra Bervoets for the initiation of the radioactive EMSA experiments and Sarah Haesaerts for helping with the purification of the proteins. Funder Information Declared FWO-Vlaanderen , G011420N , 1103622N , 1S18116N Footnotes ↵ ‡ The first two authors should be regarded as Joint First Authors References 1. ↵ Banani , S.F. , Lee , H.O. , Hyman , A.A. and Rosen , M.K . Biomolecular condensates: Organizers of cellular biochemistry . Nat Rev Mol Cell Biol 18 , 285 – 298 . doi: 10.1038/nrm.2017.7 OpenUrl CrossRef PubMed 2. ↵ Bu , F. , Wang , H. , Xu , C. , Song , K. , Dai , Z. , Wang , L. , Ying , J. and Chen , J . ( 2024 ) The role of m6A-associated membraneless organelles in the RNA metabolism processes and human diseases . Theranostics , 14 , 4683 – 4700 . doi: 10.7150/thno.99019 OpenUrl CrossRef PubMed 3. ↵ Lafontaine , D.L.J. , Riback , J.A. , Bascetin , R. and Brangwynne , C.P . ( 2021 ) The nucleolus as a multiphase liquid condensate . Nat Rev Mol Cell Biol , 22 , 165 – 182 . doi: 10.1038/s41580-020-0272-6 OpenUrl CrossRef PubMed 4. ↵ Hirose , T. , Ninomiya , K. , Nakagawa , S. and Yamazaki , T . ( 2023 ) A guide to membraneless organelles and their various roles in gene regulation . Nat Rev Mol Cell Biol , 24 , 288 – 304 . doi: 10.1038/s41580-022-00558-8 OpenUrl CrossRef PubMed 5. ↵ Solis-Miranda , J. , Chodasiewicz , M. , Skirycz , A. , Fernie , A.R. , Moschou , P.N. , Bozhkov , P. V and Gutierrez-Beltran , E . ( 2023 ) Stress-related biomolecular condensates in plants . Plant Cell , 35 , 3187 – 3204 . doi: 10.1093/plcell/koad127 OpenUrl CrossRef PubMed 6. ↵ Shin , Y. and Brangwynne , C.P . ( 2017 ) Liquid phase condensation in cell physiology and disease . Science ( 1979 ), 357, eaaf4382. doi: 10.1126/science.aaf4382 OpenUrl Abstract / FREE Full Text 7. ↵ Pei , G. , Lyons , H. , Li , P. and Sabari , B.R . ( 2024 ) Transcription regulation by biomolecular condensates . Nat Rev Mol Cell Biol , 10 . doi: 10.1038/s41580-024-00789-x OpenUrl CrossRef 8. ↵ Ferrie , J.J. , Karr , J.P. , Tjian , R. and Darzacq , X . ( 2022 ) “Structure”-function relationships in eukaryotic transcription factors: The role of intrinsically disordered regions in gene regulation . Mol Cell , 82 , 3970 – 3984 . doi: 10.1016/j.molcel.2022.09.021 OpenUrl CrossRef PubMed 9. ↵ Wagh , K. , Garcia , D.A. and Upadhyaya , A . ( 2021 ) Phase separation in transcription factor dynamics and chromatin organization . Curr Opin Struct Biol , 71 , 148 – 155 . doi: 10.1016/j.sbi.2021.06.009 OpenUrl CrossRef PubMed 10. ↵ Sharp , P.A. , Chakraborty , A.K. , Henninger , J.E. and Young , R.A . ( 2022 ) RNA in formation and regulation of transcriptional condensates . 28 , 52 – 57 . doi: 10.1261/rna.078997.121 OpenUrl Abstract / FREE Full Text 11. ↵ Henninger , J.E. , Oksuz , O. , Shrinivas , K. , Sagi , I. , LeRoy , G. , Zheng , M.M. , Andrews , J.O. , Zamudio , A. V. , Lazaris , C. , Hannett , N.M. , et al. ( 2021 ) RNA-Mediated Feedback Control of Transcriptional Condensates . Cell , 184 , 207 – 225 , e24. doi: 10.1016/j.cell.2020.11.030 OpenUrl CrossRef PubMed 12. ↵ Li , J. , Zhang , M. , Ma , W. , Yang , B. , Lu , H. , Zhou , F. and Zhang , L . ( 2022 ) Post-translational modifications in liquid-liquid phase separation: a comprehensive review . Molecular Biomedicine , 3 , 13 . doi: 10.1186/s43556-022-00075-2 OpenUrl CrossRef PubMed 13. ↵ Brangwynne , C.P. , Tompa , P. and Pappu , R. V . ( 2015 ) Polymer physics of intracellular phase transitions . Nat Phys , 11 , 899 – 904 . doi: 10.1038/nphys3532 OpenUrl CrossRef 14. ↵ Ahmed , J. , Meszaros , A. , Lazar , T. and Tompa , P . ( 2021 ) DNA-binding domain as the minimal region driving RNA-dependent liquid–liquid phase separation of androgen receptor . Protein Science , 30 , 1380 – 1392 . doi: 10.1002/pro.4100 OpenUrl CrossRef PubMed 15. Martin , E.W. , Thomasen , F.E. , Milkovic , N.M. , Cuneo , M.J. , Grace , C.R. , Nourse , A. , Lindoro-Larsen , K. and Mittag , T . ( 2021 ) Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation . Nucleic Acids Res , 49 , 2931 – 2945 . doi: 10.1093/nar/gkab063 OpenUrl CrossRef PubMed 16. ↵ Hess , N. and Joseph , J.A . ( 2025 ) Structured protein domains enter the spotlight: modulators of biomolecular condensate form and function . Trends Biochem Sci , 50 , 206 – 223 . doi: 10.1016/j.tibs.2024.12.008 OpenUrl CrossRef PubMed 17. ↵ Ooka , H. , Satoh , K. , Doi , K. , Nagata , T. , Otomo , Y. , Murakami , K. , Matsubara , K. , Osato , N. , Kawai , J. , Carninci , P. , et al. ( 2003 ) Comprehensive Analysis of NAC Family Genes in Oryza sativa and Arabidopsis thaliana . DNA Research , 10 , 239 – 247 . doi: 10.1093/dnares/10.6.239 OpenUrl CrossRef PubMed Web of Science 18. ↵ Nuruzzaman , M. , Sharoni , A.M. and Kikuchi , S . ( 2013 ) Roles of NAC transcription factors in the regulation of biotic and abiotic stress responses in plants . Front Microbiol , 4 , 1 – 16 . doi: 10.3389/fmicb.2013.00248 OpenUrl CrossRef PubMed 19. ↵ Ogita , N. , Okushima , Y. , Tokizawa , M. , Yamamoto , Y.Y. , Tanaka , M. , Seki , M. , Makita , Y. , Matsui , M. , Okamoto-Yoshiyama , K. , Sakamoto , T. , et al. ( 2018 ) Identifying the target genes of SUPPRESSOR OF GAMMA RESPONSE 1, a master transcription factor controlling DNA damage response in Arabidopsis . The Plant Journal , 94 , 439 – 453 . doi: 10.1111/tpj.13866 OpenUrl CrossRef PubMed 20. ↵ Bourbousse , C. , Vegesna , N. and Law , J.A . ( 2018 ) SOG1 activator and MYB3R repressors regulate a complex DNA damage network in Arabidopsis . Proc Natl Acad Sci U S A , 115 , E12453 – E12462 . doi: 10.1073/pnas.1810582115 OpenUrl Abstract / FREE Full Text 21. ↵ Ernst , H.A. , Olsen , A.N. , Skriver , K. , Larsen , S. and Lo Leggio , L . ( 2004 ) Structure of the conserved domain of ANAC, a member of the NAC family of transcription factors . EMBO Rep , 5 , 297 – 303 . doi: 10.1038/sj.embor.7400093 OpenUrl Abstract / FREE Full Text 22. ↵ Jensen , M.K. and Skriver , K . ( 2006 ) Critical Review NAC Transcription Factor Gene Regulatory and Protein – Protein Interaction Networks in Plant Stress Responses and Senescence NAC Structure as an Interaction . 66 , 156 – 166 . doi: 10.1002/iub.1256 OpenUrl CrossRef PubMed 23. ↵ Yoshiyama , K.O . ( 2016 ) SOG1: A master regulator of the DNA damage responsein plants . Genes Genet Syst , 90 , 209 – 216 . doi: 10.1266/ggs.15-00011 OpenUrl CrossRef PubMed 24. ↵ Sjogren , C.A. , Bolaris , S.C. and Larsen , P.B . ( 2015 ) Aluminum-dependent terminal dioerentiation of the arabidopsis root tip is mediated through an ATR-, ALT2-, and SOG1-regulated transcriptional response . Plant Cell , 27 , 2501 – 2515 . doi: 10.1105/tpc.15.00172 OpenUrl Abstract / FREE Full Text 25. Wei , P. , Demulder , M. , David , P. , Eekhout , T. , Yoshiyama , K.O. , Nguyen , L. , Vercauteren , I. , Eeckhout , D. , Galle , M. , de Jaeger , G. , et al. ( 2021 ) Arabidopsis casein kinase 2 triggers stem cell exhaustion under Al toxicity and phosphate deficiency through activating the DNA damage response pathway . Plant Cell , 33 , 1361 – 1380 . doi: 10.1093/plcell/koab005 OpenUrl CrossRef PubMed 26. Yoshiyama , K.O. , Kobayashi , J. , Ogita , N. , Ueda , M. , Kimura , S. , Maki , H. and Umeda , M. ( 2013 ) ATM-mediated phosphorylation of SOG1 is essential for the DNA damage response in Arabidopsis . Nature Publishing Group , 14 , 817 – 822 . doi: 10.1038/embor.2013.112 OpenUrl Abstract / FREE Full Text 27. ↵ Yoshiyama , K.O. and Kimura , S . ( 2018 ) Ser-Gln sites of SOG1 are rapidly hyperphosphorylated in response to DNA double-strand breaks . Plant Signal Behav , 13 , e1477904 . doi: 10.1080/15592324.2018.1477904 OpenUrl CrossRef PubMed 28. ↵ Abramson , J. , Adler , J. , Dunger , J. , Evans , R. , Green , T. , Pritzel , A. , Ronneberger , O. , Willmore , L. , Ballard , A.J. , Bambrick , J. , et al. ( 2024 ) Accurate structure prediction of biomolecular interactions with AlphaFold 3 . Nature , 630 , 493 – 500 . doi: 10.1038/s41586-024-07487-w OpenUrl CrossRef PubMed 29. ↵ The PyMOL Molecular Graphics System , Version 3.0 Schrödinger, LLC . 30. ↵ Walter , J. , Barra , A. , Doublet , B. , Céré , N. , Charon , J. and Michon , T . ( 2019 ) Hydrodynamic behavior of the intrinsically disordered potyvirus protein VPg, of the translation initiation factor eIF4E and of their Binary complex . Int J Mol Sci , 20 , 1794 . doi: 10.3390/ijms20071794 OpenUrl CrossRef PubMed 31. ↵ Charlier D and Bervoets I. Separation and Characterization of Protein–DNA Complexes by EMSA and In-Gel Footprinting . In: Peeters E, Bervoets I (eds), Prokaryotic Gene Regulation. Methods in Molecular Biology, NY: Humana , 2022 , Vol. 2516 , 169 – 199 OpenUrl 32. ↵ MicroCal PEAQ-ITC user manual ( English ) ( 2015 ) https://www.malvernpanalytical.com/en/learn/knowledge-center/user-manuals/man0573en . 33. ↵ Welner , D.H. , Lindemose , S. , Grossmann , J.G. , Møllegaard , N.E. , Olsen , A.N. , Helgstrand , C. , Skriver , K. and Lo Leggio , L . ( 2012 ) DNA binding by the plant-specific NAC transcription factors in crystal and solution: A firm link to WRKY and GCM transcription factors . Biochemical Journal , 444 , 395 – 404 . doi: 10.1042/bj20111742 OpenUrl Abstract / FREE Full Text 34. ↵ Chun , I. , Kim , H.J. , Hong , S. , Kim , Y.G. and Kim , M.S . ( 2023 ) Structural basis of DNA binding by the NAC transcription factor ORE1, a master regulator of plant senescence . Plant Commun , 4 , 100510 . doi: 10.1016/j.xplc.2022.100510 OpenUrl CrossRef PubMed 35. ↵ Yi , D. , Kamei , C.L.A. , Cools , T. , Vanderauwera , S. , Takahashi , N. , Okushima , Y. , Eekhout , T. , Yoshiyama , K.O. , Larkin , J. , Van den Daele , H. , et al. ( 2014 ) The Arabidopsis SIAMESE-RELATED cyclin-dependent Kinase Inhibitors SMR5 and SMR7 Regulate the DNA damage checkpoint in response to reactive oxygen species . Plant Cell , 26 , 296 – 309 . doi: 10.1105/tpc.113.118943 OpenUrl Abstract / FREE Full Text 36. ↵ Van Lindt , J. , Bratek-Skicki , A. , Nguyen , P.N. , Pakravan , D. , Durán-Armenta , L.F. , Tantos , A. , Pancsa , R. , Van Den Bosch , L. , Maes , D. and Tompa , P. ( 2021 ) A generic approach to study the kinetics of liquid–liquid phase separation under near-native conditions . Commun Biol , 4 , 77 . doi: 10.1038/s42003-020-01596-8 OpenUrl CrossRef PubMed 37. ↵ Hyman , A.A. , Weber , C.A. and Jülicher , F . ( 2014 ) Liquid-liquid phase separation in biology . Annu Rev Cell Dev Biol , 30 , 39 – 58 . doi: 10.1146/annurev-cellbio-100913-013325 OpenUrl CrossRef PubMed 38. ↵ Ishimoto , C. and Tanaka , T . ( 1977 ) Critical Behavior of a Binary Mixture of Protein and Salt Water . Phys Rev Lett , 39 , 474 – 477 . doi: 10.1103/PhysRevLett.39.474 OpenUrl CrossRef 39. ↵ Nie , J. , Zhang , X. , Hu , Z. , Wang , W. , Schroer , M.A. , Ren , J. , Svergun , D. , Chen , A. , Yang , P. and Zeng , A.-P . ( 2025 ) A globular protein exhibits rare phase behavior and forms chemically regulated orthogonal condensates in cells . Nat Commun , 16 , 2449 . doi: 10.1038/s41467-025-57886-4 OpenUrl CrossRef PubMed 40. ↵ Yang , P. , Mathieu , C. , Kolaitis , R.-M. , Zhang , P. , Messing , J. , Yurtsever , U. , Yang , Z. , Wu , J. , Li , Y. , Pan , Q. , et al. ( 2020 ) G3BP1 Is a Tunable Switch that Triggers Phase Separation to Assemble Stress Granules . Cell , 181 , 325 – 345 .e28. doi: 10.1016/j.cell.2020.03.046 OpenUrl CrossRef PubMed 41. ↵ Hnisz , D. , Shrinivas , K. , Young , R.A. , Chakraborty , A.K. and Sharp , P.A . ( 2017 ) A Phase Separation Model for Transcriptional Control . Cell , 169 , 13 – 23 . doi: 10.1016/j.cell.2017.02.007 OpenUrl CrossRef PubMed 42. ↵ Dai , Z. and Yang , X . ( 2024 ) The regulation of liquid-liquid phase separated condensates containing nucleic acids . FEBS J , 291 , 2320 – 2331 . doi: 10.1111/febs.16959 OpenUrl CrossRef 43. Greve , K. , La Cour , T. , Jensen , M.K. , Poulsen , F.M. and Skriver , K. ( 2003 ) Interactions between plant RING-H2 and plant-specific NAC (NAM/ATAF1/2/CUC2) proteins: RING-H2 molecular specificity and cellular localization . Biochemical Journal , 371 , 97 – 108 . doi: 10.1042/bj20021123 OpenUrl Abstract / FREE Full Text View the discussion thread. Back to top Previous Next Posted May 14, 2025. Download PDF Supplementary Material Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following DNA-binding and dimerization of the SOG1 NAC domain are functionally linked with its ability to undergo liquid-liquid phase separation Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share DNA-binding and dimerization of the SOG1 NAC domain are functionally linked with its ability to undergo liquid-liquid phase separation Kim Mignon , Rani Van der Eecken , Margot Galle , Manon Demulder , Joris Van Lindt , Lieven De Veylder , Henri De Greve , Remy Loris bioRxiv 2025.05.09.653017; doi: https://doi.org/10.1101/2025.05.09.653017 Share This Article: Copy Citation Tools DNA-binding and dimerization of the SOG1 NAC domain are functionally linked with its ability to undergo liquid-liquid phase separation Kim Mignon , Rani Van der Eecken , Margot Galle , Manon Demulder , Joris Van Lindt , Lieven De Veylder , Henri De Greve , Remy Loris bioRxiv 2025.05.09.653017; doi: https://doi.org/10.1101/2025.05.09.653017 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 Biochemistry Subject Areas All Articles Animal Behavior and Cognition (7629) Biochemistry (17660) Bioengineering (13881) Bioinformatics (41910) Biophysics (21436) Cancer Biology (18576) Cell Biology (25480) Clinical Trials (138) Developmental Biology (13368) Ecology (19887) Epidemiology (2067) Evolutionary Biology (24302) Genetics (15598) Genomics (22482) Immunology (17726) Microbiology (40360) Molecular Biology (17163) Neuroscience (88534) Paleontology (666) Pathology (2830) Pharmacology and Toxicology (4821) Physiology (7637) Plant Biology (15129) Scientific Communication and Education (2045) Synthetic Biology (4290) Systems Biology (9817) Zoology (2269)
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.