Genome-wide screen for deficiencies modifying Cyclin G-induced developmental instability in Drosophila melanogaster.

Genome-wide screen for deficiencies modifying Cyclin G-induced developmental instability in Drosophila melanogaster | 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 Genome-wide screen for deficiencies modifying Cyclin G -induced developmental instability in Drosophila melanogaster Valérie Ribeiro , Marco Da Costa , Delphine Dardalhon-Cuménal , Camille A. Dupont , View ORCID Profile Jean-Michel Gibert , Emmanuèle Mouchel-Vielh , Hélène Thomassin , Neel B. Randsholt , Vincent Debat , View ORCID Profile Frédérique Peronnet doi: https://doi.org/10.1101/2025.07.31.667991 Valérie Ribeiro 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: Valerie.Ribeiro{at}sorbonne-universite.fr Marco Da Costa 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: marco.da_costa{at}sorbonne-universite.fr Delphine Dardalhon-Cuménal 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: delphine.cumenal{at}sorbonne-universite.fr Camille A. Dupont 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: camille.a.dupont{at}gmail.com Jean-Michel Gibert 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Jean-Michel Gibert For correspondence: Jean-Michel.Gibert{at}sorbonne-universite.fr Emmanuèle Mouchel-Vielh 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: Emmanuele.Mouchel{at}sorbonne-universite.fr Hélène Thomassin 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: helene.thomassin-bourrel{at}sorbonne-universite.fr Neel B. Randsholt 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: neelbodil{at}gmail.com Vincent Debat 3 Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE , Université des Antilles CP 50, 57 rue Cuvier, 75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: frederique.peronnet{at}sorbonne-universite.fr vincent.debat{at}mnhn.fr Frédérique Peronnet 1 Sorbonne Université, CNRS, Inserm, Développement Adaptation et Vieillissement , Dev2A, F75005 Paris, France Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Frédérique Peronnet For correspondence: frederique.peronnet{at}sorbonne-universite.fr vincent.debat{at}mnhn.fr Abstract Full Text Info/History Metrics Supplementary material Preview PDF ABSTRACT Despite long-lasting interest and research efforts, the genetic bases of developmental stability – the robustness to developmental noise – and its most commonly used estimator, fluctuating asymmetry (FA), remain poorly understood. The Drosophila melanogaster Cyclin G gene ( CycG ) encodes a transcriptional cyclin that regulates growth and the cell cycle. Over-expression of a potentially more stable isoform of the protein (deleted of a PEST-rich domain, hereafter called CycG ΔP ) induces extreme wing size and shape FA ( i.e. high developmental noise), indicating a major disruption of developmental stability. Previous attempts to identify the genetic bases of FA have been impeded by the constitutively low level of developmental noise, limiting the power to detect any effect. Here, we leverage the extreme developmental instability induced by overexpression of CycG ΔP to explore the genetic bases of FA: we perform a genome-wide screen for deficiencies that enhance or reduce CycG ΔP -induced wing FA. 499 deficiencies uncovering 90% of the euchromatic genome were combined with a recombinant chromosome expressing CycG ΔP . We identified 13 and 16 deficiencies that respectively enhance and decrease FA. Analysis of mutants for some genes located in these deficiencies shows that Cyclin G ensures homogeneous growth of organs in synergy with the major morphogens of the wing, Dpp and Wg, as well as the Hippo and InR/TOR pathways. They also reveal that CycG ΔP -induced FA involves Larp, a potential direct interactor of Cyclin G, that regulates translation at the mitochondrial membrane. This opens up new research perspectives for understanding developmental stability, suggesting a significant role for mitochondrial activity. INTRODUCTION Developmental noise results from the inherent variability of biological processes, that operates independently of genetic or environmental factors (for a review on concepts see ( Debat and David 2002 ). Developmental stability refers to the buffering of developmental noise. In bilaterians, as both sides are influenced by the same environmental conditions and have the same genome, an estimate of developmental noise is provided by fluctuating asymmetry (FA), the slight, random deviations from perfect symmetry in paired structures. The genetic bases of developmental stability remain largely unknown. Investigation of mandible size and shape FA in a population of mice has identified a few single-locus Quantitative Loci Traits (QTLs) ( Leamy et al. 2015 ). In Drosophila , the wings, which have a highly stereotyped organisation, have been commonly used to measure FA ( e.g. Breuker et al. 2006 ; Takahashi, Okada, Teramura, et al. 2011; Gomez and Norry 2012 ; see Debat and Peronnet 2013 for a review). Genome-wide deficiency mapping of regions responsible for developmental noise has identified deficiencies associated with increased centroid size or shape FA (Takahashi, Okada, Teramura, et al. 2011; Takahashi, Okada, and Teramura 2011 ). A few individual mutants have been reported to exhibit high FA, suggesting that they may encode genes crucial for maintaining developmental stability. These include insertional mutants for several members of the BMP signaling pathway ( Debat et al. 2009 ), mutants for the proapoptotic gene hid ( Neto-Silva et al. 2009 ), mutants for the Drosophila insulin-like peptide 8 ( Dilp8 ) gene and mutants for Lgr3 that encodes its neuronal receptor ( Colombani et al. 2012 ; Garelli et al. 2012 ; Colombani et al. 2015 ; Garelli 2015 ), mutants for genes encoding small Hsp proteins ( Takahashi et al. 2010 ), mutant for the transcription factor Yorkie ( Srivastava et al. 2020 ) and mutants for the Tsp1 gene, which encodes the trehalose-6-synthase phosphate ( Matsushita and Nishimura 2020 ). Strikingly, these genes are involved in a wide range of biological processes — including growth, signaling, stress response, and metabolism — indicating that developmental stability is unlikely to be controlled by a single master regulatory mechanism. Instead, it appears to be a multifactorial trait arising from the integration of multiple physiological pathways. We have previously reported that the Cyclin G gene ( CycG ) of Drosophila melanogaster, which encodes a transcriptional cyclin, is implicated in developmental noise ( Debat et al. 2011 ; Debat and Peronnet 2013 ). Indeed, overexpression of CycG ΔP , a modified version of Cyclin G that lacks the C-terminal PEST domain and is therefore potentially more stable, induces an unprecedented high level of size and shape FA (40-fold increase compared to control). The strongly destabilized system induced by CycG ΔP overexpression offers a unique opportunity to investigate the genetic bases of developmental stability. In this study we used CycG ΔP overexpression to perform a genome-wide screen for deficiencies that enhance or reduce CycG ΔP -induced wing size FA. 495 deficiencies uncovering about 90% of the euchromatic genome were combined with a recombinant chromosome expressing CycG ΔP . Development robustness includes both developmental stability – i.e. the robustness to developmental noise – and canalization – the robustness to genetic and environmental effects ( Debat and David 2002 ). As the relationship between these two components of robustness has long been debated (see Klingenberg 2019 for a review), we also measured the variation among individuals within genotypes as a measure of canalization, and tested its association with FA. MATERIAL AND METHODS Genetics Flies were raised in yeast-cornflour broth (yeast extract 75 g/L, cornflour 90 g/L, agar-agar 10.7 g/L, methyl 4-hydroxybenzoate 5.5 g/L) at 25°C. Lines carrying deficiencies ( Df ) were from the Bloomington deficiency kit which combines deficiencies from different sources (BSC, Exelixis and DrosDel) ( Cook et al. 2012 ) (Supplementary Table 1). The BSC deficiencies numbered greater that 99 and the Exelixis deficiencies were generated in the same isogenic background (BL-6326 stock) ( Hoskins et al. 2001 ; Cook et al. 2012 ; Roote and Russell 2012 ). The DrosDel deficiencies were generated in a different isogenic background (BL-5905 stock) ( Ryder et al. 2004 ). These stocks were used as negative controls for the corresponding lines. The genetic backgrounds are referred to as w 5905 or w 6326 . For the other 59 lines, for which the genetic background is unknown, either w 5905 or w 6326 were used interchangeably. The mutant alleles used in this study are listed in Supplementary Table 2. The da-Gal4,UAS-CycG ΔP third chromosome, obtained by genetic recombination ( Debat et al. 2011 ), was used as a positive control. Due to high lethality and low fertility, this chromosome was maintained against the TM6c,Sb balancer, in males, at 18°C. In order to address the genetic interactions between CycG and each deficiency, 5 replicate crosses containing 6 deficiency or control females and 5 da-Gal4 , UAS-CycG ΔP /TM6c,Sb or da-Gal4 males were performed. Series of experiments with up to 25 deficiencies were performed, each series including the appropriate positive and negative controls. Care was taken to keep the crosses in standardized conditions: tubes used for a given series were from the same batch, they were maintained at 25°C on the same incubator floor, parents were transferred into new tubes each 48 h, three times, then discarded. The offspring was counted and kept in 70 % ethanol. Thirty females of the desired genotype ( Df / da-Gal4 , UAS-CycG ΔP , +/ da-Gal4 , UAS-CycG ΔP , Df/da-Gal4 or +/da-Gal4 ) were randomly sampled ( Supplementary Figure 1 ). Measurements and statistical analysis The wings were mounted on slides and scanned as described in Debat et al. (2011) . The distance between landmarks 3 and 13 was used to estimate wing length ( Supplementary Figure 1 ). FA was analyzed following the recommendations of Palmer, A. R. and Strobeck, C. (2003) . As measurement error statistically behaves in a similar way as genuine FA (i.e. non directional random variation), each measurement was taken twice and FA was estimated using the FA10a index, as it allows to partition out measurement error from true FA ( Palmer & Strobeck 2003 ). Briefly, a two-way mixed model ANOVA was applied to the data, considering “Individual” as a random effect and “side” as a fixed effect, repetitions being included in the residuals of the model. FA10a was computed as the interaction “individual x side” MS minus the residual MS, divided by the number of replicates (here two replicates). FA10a is thus analogous to a variance and as such is expressed in squared units of length. Differences in FA were then tested using standard F tests. The nortest R package was used to test normality of the difference between left- and right-wing size (Shapiro-Wilk and Lilliefors tests) as well as skewness and kurtosis. Indeed, normality is a crucial aspect of FA distribution, as a lack thereof is often associated with phenomena interfering with FA ( e.g. bimodality might indicate antisymmetry; see Palmer 1994 and Palmer & Strobeck 2003 for details). The rare outliers that perturbated normality, skewness ( +0.5) or kurtosis ( +3) were eliminated from the sample (see number of individuals in Supplementary Table 3), as they were identified as obvious errors in the measurements. When size varies among groups, differences in asymmetry might stem from positive allometric effects ( i.e. larger size genotypes might present larger asymmetries). Results were thus checked for any size-dependence of FA. F-tests were performed to compare FA of the assays to the one of the series internal controls ( Df / da-Gal4 , UAS-CycG ΔP compared to +/ da-Gal4 , UAS-CycG ΔP , Df/da-Gal4 compared to +/da-Gal4 ). Holm correction was applied within each series to account for multiple testing. Inter-individual variance of wing length represented the variance of the individual mean wing length in the same group. RESULTS Genome-wide screen for deficiencies that modify CycG- induced fluctuating asymmetry To scan the whole genome for modification of CycG ΔP - induced FA, we used a set of 499 deficiencies uncovering approximately 90% of the euchromatic genome (Supplementary Table 1). Of these, 4 deficiencies were too weak to be crossed (Supplementary Table 1). A primary screen was performed by crossing females of the remaining 499 deficiencies with da-Gal4 , UAS-CycG ΔP /TM6c,Sb males ( Supplementary Figure 1 ). As the FA values varied from experiment to experiment, a positive control ( w females of the same genetic background crossed with da-Gal4 , UAS-CycG ΔP /TM6c,Sb males) and a negative control ( w females of the same genetic background crossed with da-Gal4/TM6c,Sb males) were systematically included in each experimental series to serve as intrinsic standards. Of note, a number of deficiencies (59 out of 499) were generated in an unknown genetic background (indicated as w in Supplementary Figure 1 ). In these cases, the results may reflect not only the hemizygous allelic effects revealed by the deficiencies but also potential influences of the genetic background. Forty-one deficiencies were lethal or sub-lethal when combined with the da-Gal4 , UAS-CycG ΔP chromosome, preventing FA analyses (Supplementary Table 1). Two deficiencies produced damaged wings when combined with da-Gal4 , UAS-CycG ΔP , rendered them unmeasurable (Supplementary Table 1). A total of 16,200 fly wings were mounted and analysed in this primary screen. Of the 452 deficiencies whose combination with da-Gal4 , UAS-CycG ΔP produced viable flies with usable wings, most did not modify CycG ΔP -induced FA (neutral deficiencies) ( Supplementary Figure 2 ). However, 39 deficiencies and 21 significantly decreased or increased CycG ΔP -induced FA, respectively. We then performed a secondary screen by crossing females of these 60 deficiencies with da-Gal4 , UAS-CycG ΔP /TM6c,Sb or da-Gal4 males in order to replicate the primary screen while measuring the FA of the deficiencies independently of CycG ΔP overexpression. In addition, 8 neutral deficiencies were randomly selected to confirm the absence of an effect. The results of this secondary screen – a total of 4640 fly wings were mounted and analysed – are shown in Supplementary Table 3. Of the 68 deficiencies tested, only three, Df(2L)BSC17 , Df(1)BSC582 , and Df(3L)BSC419 , increased FA when combined with da-Gal4 in absence of CycG ΔP expression. None decreased it. Nevertheless, the increase was rather modest compared to that observed in context of CycG ΔP expression (FA fold-changes of 3.3, 3.4, and 4.8 when comparing Df/+; +/da-Gal4 to +/da-Gal4 of the same series, versus FA fold-changes of 28.5, 73.4, and 73.4 when comparing +/UAS-CyG ΔP ,da-Gal4 to +/da-Gal4 of the same series). Interestingly, Df(3L)BSC419 partially overlaps Df(3L)ED4978 , which has already been shown to increase wing shape FA (Takahashi, Okada, Teramura, et al. 2011). The absence of CycG ΔP -induced FA modification was verified for the 8 neutral deficiencies. However, the secondary screen eliminated some deficiencies whose effect on CycG ΔP -induced FA was no longer significant, probably due to the variability of the internal control. Thus, the screen ended up with 29 modifier deficiencies: 16 that reproducibly decreased CycG ΔP -induced FA and 13 that reproducibly enhanced it, further referred to as decreasing and enhancing deficiencies, respectively ( Table 1 and Figure 1 ). Surprisingly, the 13 enhancing deficiencies clustered on the second chromosome and the left arm of the third chromosome whereas the 16 decreasing deficiencies clustered on the X chromosome and the right arm of the third chromosome ( Table 1 ). We did not observe any significant correlation between the length of these deficiencies and the amplitude of their effect on CycG ΔP -induced FA ( Figure 2A ). A comparison of the secondary screen with a previous screen covering approximately 65% of the Drosophila melanogaster genome (Takahashi, Okada, Teramura, et al. 2011) revealed that, among the 9 decreasing and 16 increasing deficiencies that are shared, none showed any alteration in wing centroid size FA, highlighting the power of the CycG ΔP genetic background to detect developmental noise (Supplementary Table 4). View this table: View inline View popup Download powerpoint Table 1: Deficiencies modifying CycG ΔP -induced FA. The fluctuating asymmetry fold-change corresponds to the ratio between fluctuating asymmetry of the deficiency combined to da-Gal4, UAS-CycG ΔP and fluctuating asymmetry of da-Gal4, UAS-CycG ΔP . Download figure Open in new tab Figure 1: Secondary screen – Analysis of the 60 candidate deficiencies isolated from the primary screen. a – FA of 39 deficiencies that decreased CycG ΔP -induced FA in the primary screen normalised to the FA of da-Gal4, UAS-CycG ΔP (red line). 16 of them reproduced the results of the primary screen (orange). b – FA of 21 deficiencies that enhanced CycG ΔP -induced FA in the primary screen normalised to the FA of da-Gal4, UAS-CycG ΔP (red line). 13 of them reproduced the results of the primary screen (green). *p<0.05, **p<0.01, ***p<0.001 Download figure Open in new tab Figure 2: Secondary screen - Relationship between fluctuating asymmetry and deficiency length, mean wing size and inter-individual variance. a – FA (fold change) of the 16 decreasing (D) deficiencies (orange), the 13 enhancing (E) deficiencies (green) and 8 neutral deficiencies (grey) versus deficiency length. No significant correlation was observed between the two parameters (Pearson coefficient, R= -0.15). b - FA of the 16 decreasing (D) deficiencies (orange) and the 13 enhancing (E) deficiencies (green) combined with da-Gal4, UAS-CycG ΔP (filled circles) or not (empty circles) versus mean wing size. Filled grey square: +/da-Gal4, UAS-CycG ΔP ; empty grey square: +/da-Gal4 . A strong negative correlation was observed between these parameters (R= -0.65). c – FA (log10) of the 16 decreasing (D) deficiencies (orange) and the 13 enhancing (E) deficiencies (green) combined with da-Gal4, UAS-CycG ΔP (filled circles) or not (empty circles) versus inter-individual variance (log10). Filled grey square: +/da-Gal4, UAS-CycG ΔP ; empty grey square: +/da-Gal4 . A strong positive correlation was observed between the two parameters (R= +0.67). The mean wing size of all Df; da-Gal4 , UAS-CycG ΔP flies was smaller than that of Df; da-Gal4 flies, indicating that CycG ΔP expression had a dominant effect on size reduction ( Figure 2B and Supplementary Figure 3 ). These differences in asymmetry were not due to a size-dependent effect, as wing size was smaller (and not larger) in the most asymmetric genotypes, and thus reflected genuine differences in developmental stability ( Palmer, A. R. and Strobeck, C. 2003 ). Lastly, we observed a positive correlation between FA and inter-individual variance mostly driven by a joint difference among broad categories of genotypes, i.e. deficiencies alone, with low levels of both FA and individual variance, and high levels in the enhancing deficiencies combined with CycG Δ , the decreasing deficiencies showing intermediate values when combined to CycG Δ ( Figure 2C ), As environmental conditions cannot be fully controlled and individuals are not genetically perfectly identical due to potential segregating variation in the parental lines, this inter-individual variance thus reflects minute genetic and environmental differences, and indirectly, canalization ( e.g. Klingenberg 2019 ). This positive correlation between FA and inter-individual variance suggests that developmental stability and canalization of Drosophila wing can be jointly affected by the combination of the deficiencies and CycG Δ . Taken together, these results confirmed that CycG ΔP expression strongly perturbs developmental stability. In addition, we identified 29 deficiencies among the 452 analysed that enhanced or decreased CycG ΔP -induced FA and could thus contain genes important for developmental stability. These genes could therefore be partners of CycG in the mechanisms that maintain developmental stability. Identification of genes that modify CycG ΔP -induced fluctuating asymmetry We next set out to identify partners of CycG in developmental stability within these deficiencies. Interestingly, Df(3R)ED6361 , which uncovers CycG , reduced the FA induced by CycG ΔP expression, suggesting that expression of CycG ΔP behaved as a dominant negative mutant and that the deviation from symmetry it induced was dose-dependent. Taken together, the enhancing deficiencies contained 736 genes (576 protein-coding genes and 160 non-protein-coding genes), and the decreasing deficiencies 865 genes (715 protein-coding genes and 150 non-protein-coding genes), making it impossible to test mutants of these genes individually. To select which mutants to test, we focused on genes encoding direct protein partners of Cyclin G or genes involved in the control of growth (Supplementary Table 2). Although located in decreasing deficiencies (Supplementary Table 3), mutants or RNAi lines for Aladin ( Carvalhal et al. 2015 ), CG9426 (FBgn0032485) , E5 ( Dalton et al. 1989 ), eEF2 ( Marygold et al. 2017 ), and SAK ( Bettencourt-Dias et al. 2004 ) which encode direct Cyclin G physical interactors, significantly increased CycG ΔP -induced FA ( Figure 3 ). Other genes, or combinations of genes, in these deficiencies may be responsible for the observed effects. On the other hand, two RNAi lines for larp , which is located in a decreasing deficiency ( Df(3R)BSC322 ) and also encodes a direct Cyclin G physical interactor (11), significantly reduced CycG ΔP -induced FA ( Figure 3 ). Larp and Cyclin G may thus be direct partners in a process important for developmental stability. Download figure Open in new tab Figure 3: Candidate gene analyses – Genes encoding direct protein partners of Cyclin G located in deficiencies that modify CycG ΔP -induced FA. In green, alleles that significantly increased CycG ΔP -induced FA. In orange, alleles that significantly decreased CycG ΔP -induced FA. In light grey, positive control (+/da-Gal4, UAS-CycG ΔP ). In dark grey, alleles that did not modify CycG ΔP -induced FA. Several alleles were lethal (✞) when combined to +/da-Gal4 or +/da-Gal4, UAS-CycG ΔP . *p<0.05, **p<0.01, ***p<0.001 The Hippo signalling pathway plays a key role in controlling organ size (10). Merlin ( Mer ), which encodes a positive regulator of this pathway that interacts directly with Cyclin G (11), is located in the decreasing deficiency Df(1)BSC871 . Additionally, hippo ( hpo ), which encodes the kinase of the pathway, is located in Df(2R)ED3728 , which increased CycG ΔP -induced FA. This prompted us to investigate the impact of other members of the Hippo pathway on CycG ΔP -induced FA. Mutants for Mer, hpo, ft , exp , wts and ban , significantly increased it ( Figure 4A ). Furthermore, Mer inactivation also increased FA independently of CycG deregulation ( Figure 4A ). These results suggest that the Hippo pathway plays a role in developmental stability. Download figure Open in new tab Figure 4: Candidate gene analyses – Genes encoding members of the Hippo pathway (a), the InR/TOR pathway (b) and the Dpp and Wg morphogens (c). In green, alleles that significantly increased CycG ΔP -induced FA. In grey, alleles that did not modify CycG ΔP -induced FA. *p<0.05, **p<0.01, ***p<0.001 The mTor gene, which encodes the central member of another key regulator of growth ( Grewal 2009 ), the InsulinR/TOR signalling pathway (InR/TOR) belongs to a deficiency that reduced CycG ΔP -induced FA [ Df(2L)BSC277 ]. Furthermore, Cyclin G interacts directly with three actors of this pathway: Akt1, PP2A and Wdb ( Fischer et al. 2016 ; Oughtred et al. 2021 ). We thus tested the effect of mTor and other members of the pathway for their effect on CycG ΔP -induced FA. Most of these, particularly mutants for Akt1 , S6K , foxo , PTEN , mTor and wdb , increased CycG ΔP -induced FA. This suggests that the interaction between Cyclin G and the InR/TOR pathway is crucial for developmental stability ( Figure 4B ). Finally, two major morphogens of the wing, dpp and wg [for a review see ( Tabata and Takei 2004 )], belonged to deficiencies that enhanced CycG ΔP -induced FA [ Df(2L)Exel7011 and Df(2L)BSC291 , respectively]. Mutants for both genes also increased CycG ΔP -induced FA, indicating that we had identified at least one gene responsible for this effect within each deficiency ( Figure 4C ). DISCUSSION In our efforts to identify deficiencies that modify CycG ΔP -induced FA, we found that 13 deficiencies out of 452 enhanced it (enhancing deficiencies) while 16 deficiencies decreased it (decreasing deficiencies). Notably, these deficiencies were not evenly distributed across all chromosomes. The decreasing deficiencies were enriched on chromosomes X and 3R, whereas the enhancing deficiencies were concentrated on chromosomes 2 and 3L. This pattern suggests that chromosomes 2 and 3L may have a general positive effect on developmental stability. In addition, we observed that the vast majority of modifier deficiencies (65 out of the 68 tested) does not affect FA on their own. Finally, the 13 deficiencies that enhance CycG ΔP -induced FA represent only 4.1 % of the Drosophila melanogaster genome. Collectively, these results indicate that under normal rearing conditions the control of growth is highly robust. Overexpression of CycG ΔP using the Gal4/UAS system provides an entry point to discover genes and gene networks that are essential for growth homeostasis. Unsurprisingly, our results confirm that key morphogens, Dpp and Wg, are crucial for maintaining developmental stability. A previous study had shown that insertional mutants of two BMP pathway components, tkv , encoding a receptor of dpp , and Mad , encoding the principal transcription factor, affect shape fluctuating asymmetry ( Debat et al. 2009 ). Consistently, we found that both a deficiency encompassing dpp and dpp mutant alleles enhance CycG ΔP -induced FA, highlighting the central role of the BMP pathway in developmental stability. We further show that the InR/Tor and Hippo growth pathways are essential for developmental stability. In line with our findings, alternative splicing of yki , which encodes the transcription factor Yorkie, a target of the Hippo pathway, has previously been shown to contribute to developmental stability ( Srivastava et al. 2020 ). Furthermore, Merlin that promotes assembly of a functional Hippo signaling complex at the apical cell cortex has been shown to directly interact with Cyclin G ( Oughtred et al. 2021 ). With regard to the Dilp8/Lgr3 axis ( Colombani et al. 2012 ; Garelli et al. 2012 ; Colombani et al. 2015 ; Garelli 2015 ), neither Dilp8 nor Lgr3 were found in deficiencies that modify CycG ΔP - induced FA ( Df(3L)ED4685 and Df(3L)ED4674 for Dilp8; Df(3R)BSC321 for Lgr3 ). These results are consistent with our previous findings that expressing CycG ΔP in the neuronal circuitry relaying information from the Dilp8 expression site to the brain does not modify FA. This led to conclude that CycG ΔP -induced wing FA is an intrinsic response of the growing wing tissue ( Dardalhon-Cuménal et al. 2018 ). Lastly, mutants of the Tps1 gene, which is involved in trehalose metabolism, exhibit high FA that is exacerbated under dietary stress, suggesting an important role for trehalose metabolism in developmental stability ( Matsushita and Nishimura 2020 ). Tps1 is located within the Df(2L)M24F-B deficiency, which does not affect CycG ΔP -induced developmental stability. Nevertheless, a more in-depth analysis of the interaction between CycG and Tps1 , particularly under dietary stress conditions, remains to be carried out. Beyond its specific role, Cyclin G may be unique in that it sits at the crossroads of many signalling pathways. Our previous systems biology approach has indeed shown that CycG is linked to many genes in the wing imaginal disc ( Dardalhon-Cuménal et al. 2018 ). These new findings confirm that CycG may be a hub within a complex genetic network important for the robustness of organ growth. We have previously shown that expression of CycG ΔP abolishes the strong negative correlation between cell size and cell number observed in wild-type fly wings ( Debat et al. 2011 ). Cyclin G may orchestrate growth homeostasis by ensuring the proper coordination of growth and the cell cycle, which would be critical for developmental stability. This central role may explain the spectacular effects of its deregulation on fluctuating asymmetry. Some potential direct Cyclin G partners are included in the deficiencies that modify CycG ΔP -induced FA. Strikingly, these partners belong to different gene ontology categories, ranging from the aforementioned Merlin to transcription factors ( e.g. E5), translation regulators ( e.g. Larp) and proteins involved in protein degradation ( e.g. Cul2), reinforcing the idea that Cyclin G may be involved in diverse cellular processes. Among the genes encoding these potential direct partners, larp is the only one whose inactivation strongly reduces CycG ΔP -induced FA, suggesting that the effect of Cyclin G on FA requires this direct interaction. Larp encodes an evolutionarily conserved RNA-binding protein that forms a complex with the Poly(A) binding protein (PABP), a translation regulator ( Blagden et al. 2009 ; Deragon and Bousquet-Antonelli 2015 ). In addition, Larp recognises mRNAs with a 5’ Terminal OligoPyrimidine (5’ TOP) motif, i.e. mRNAs encoding proteins essential for protein synthesis such as ribosomal proteins or translation factors ( Cockman et al. 2020 ). More recently, Larp has been shown to play a dual role as a translational repressor and a stabiliser of 5’ TOP mRNAs (20). In particular, when phosphorylated by Pink1, Larp inhibits translation at the mitochondrial outer membrane suggesting that it may have an effect on the production of new mitochondria ( Zhang et al. 2019 ). Interestingly, in wing imaginal discs expressing CycG ΔP , genes involved in translation are up-regulated and those involved in metabolism and mitochondrial activity are down-regulated ( Dardalhon-Cuménal et al. 2018 ). Taken together, these data support the idea that there may be a link between developmental stability and the regulation of mitochondrial activity. Supplementary Figure 1: a - Position of the 15 landmarks on the wing. Landmarks 3 and 13 (red) were used to measure wing length. b – Diagrams of primary and secondary screens. Df : deficiency; w n : w 5905 or w 6326 ; Bal : balancer chromosome; N: neutral deficiencies; D: deficiency that decreased CycG ΔP - induced fluctuating asymmetry; E: deficiency that increased CycG ΔP - induced fluctuating asymmetry. Supplementary Figure 2: Distributions of the FA fold-changes in the primary and secondary screens. a – FA fold-changes for the 452 deficiencies that produced measurable wings when combined with da-Gal4 , UAS-CycG ΔP . Orange: FA fold-changes for the 39 deficiencies that significantly decreased CycG ΔP -induced FA. Green: FA of the 21 deficiencies that significantly increased CycG ΔP -induced FA. Grey: FA fold-changes for deficiencies that do not significantly modify CycG ΔP -induced FA. Black line: FA of the da-Gal4 , UAS-CycG ΔP positive control. b – FA fold-changes for the 68 deficiencies selected for the secondary screen. Green: three deficiencies showed a significantly higher FA compared to the genetic background. Grey: FA fold-changes for the remaining deficiencies. Black line: FA of the w;+/da-Gal4 genetic background. c – FA fold-changes of the 68 deficiencies selected for the secondary screen combined with w; UAS-CycG ΔP /da-Gal4 . Orange: FA fold-changes of the 16 deficiencies that significantly decreased CycG ΔP -induced FA. Green: FA fold-changes for the 13 deficiencies that significantly increased CycG ΔP -induced FA. Grey: FA fold-changes for deficiencies that did not significantly modify CycG ΔP -induced FA. Black line: FA of the da-Gal4 , UAS-CycG ΔP positive control. Supplementary Figure 3: Secondary screen – Mean wing size of flies heterozygous for the deficiencies associated with da-Gal4 (top) or da-Gal4, UAS-CycG ΔP (down). Box-plots showing mean wing size. In grey, mean wing size of +/da-Gal4 ( a ) or +/da-Gal4, UAS-CycG ΔP flies. In orange, mean wing size of deficiencies that decreased CycG ΔP -induced FA combined with da-Gal4 (top) or da-Gal4, UAS-CycG ΔP (down). In green, mean wing size of deficiencies that increased CycG ΔP -induced FA combined with da-Gal4 (top) or da-Gal4, UAS-CycG ΔP ( b ). The two red lines correspond to the mean wing size of +/da-Gal4 (1161) and +/da-Gal4, UAS-CycG ΔP (1014) flies. *p<0.05, **p<0.01, ***p<0.001 Supplementary Table 1: Deficiencies used in this study. Supplementary Table 2: Alleles used in this study to identify genes that modify CycG ΔP -induced fluctuating asymmetry in the decreasing and enhancing deficiencies. Supplementary Table 3: Secondary screen for deficiencies which modify CycG ΔP -induced FA. Supplementary Table 4: Deficiencies used in Takahashi, Okada, Teramura, et al. (2011) that are shared or overlap with those used in the secondary screen. Data availability statement The authors confirm that all the data necessary to verify the conclusions of the article are included in the text, figures and tables. Strains are available upon request. Raw data are deposited on Zenodo (DOI 10.5281/zenodo.17416429). Study funding This study was funded by ongoing support from the Centre National de la Recherche Scientifique (CNRS) and Sorbonne Université (SU). Acknowledgments The authors would like to thank all the members of the Heterochromatin, Cell Fate and Exposome team for their valuable advice and productive discussions. They would also like to thank Dr. Y. Bellaïche for providing the Akt1[1] mutant, and the Bloomington Stock Center for mutant and deficiency strains. Funder Information Declared Centre National de la Recherche Scientifique, https://ror.org/02feahw73 Sorbonne Université, https://ror.org/02en5vm52 Footnotes Introduction, Material and Methods, Results and Discussion updated Supplemental files updated Data deposited in an open database REFERENCES 1. Berman AJ et al. 2021 . Controversies around the function of LARP1 . 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Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following Genome-wide screen for deficiencies modifying Cyclin G-induced developmental instability in Drosophila melanogaster 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 Genome-wide screen for deficiencies modifying Cyclin G -induced developmental instability in Drosophila melanogaster Valérie Ribeiro , Marco Da Costa , Delphine Dardalhon-Cuménal , Camille A. Dupont , Jean-Michel Gibert , Emmanuèle Mouchel-Vielh , Hélène Thomassin , Neel B. 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