Glia phagocytose neuronal sphingolipids to infiltrate developing synapses

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Glia phagocytose neuronal sphingolipids to infiltrate developing synapses | 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 Glia phagocytose neuronal sphingolipids to infiltrate developing synapses Emma K. Theisen , Irma Magaly Rivas-Serna , Ryan J. Lee , Taylor R. Jay , Govind Kunduri , Tasha T. Nguyen , Vera Mazurak , M. Thomas Clandinin , Thomas R. Clandinin , John P. Vaughen doi: https://doi.org/10.1101/2025.04.14.648777 Emma K. Theisen 1 Department of Neurobiology, Stanford University , Stanford CA, 94305, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site Irma Magaly Rivas-Serna 2 Department of Agriculture , Food, and Nutritional Science, University of Alberta; Edmonton , T6G 2R3, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ryan J. Lee 1 Department of Neurobiology, Stanford University , Stanford CA, 94305, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site Taylor R. Jay 4 Vollum Institute, Oregon Health & Science University , Portland, OR, 97239, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site Govind Kunduri 3 Cancer and Developmental Biology Laboratory, National Cancer Institute , Frederick, Maryland, 21702, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site Tasha T. Nguyen 1 Department of Neurobiology, Stanford University , Stanford CA, 94305, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site Vera Mazurak 2 Department of Agriculture , Food, and Nutritional Science, University of Alberta; Edmonton , T6G 2R3, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site M. Thomas Clandinin 2 Department of Agriculture , Food, and Nutritional Science, University of Alberta; Edmonton , T6G 2R3, Canada Find this author on Google Scholar Find this author on PubMed Search for this author on this site Thomas R. Clandinin 1 Department of Neurobiology, Stanford University , Stanford CA, 94305, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site John P. Vaughen 5 Department of Anatomy, University of California San Francisco , CA, 94114, United States Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: john.vaughen{at}ucsf.edu Abstract Full Text Info/History Metrics Preview PDF Abstract The complex morphologies of mature neurons and glia emerge through profound rearrangements of cell membranes during development. Despite being integral components of these membranes, it is unclear whether lipids might actively sculpt these morphogenic processes. By analyzing lipid levels in the developing fruit fly brain, we discover dramatic increases in specific sphingolipids coinciding with neural circuit establishment. Disrupting this sphingolipid bolus via genetic perturbations of sphingolipid biosynthesis and catabolism leads to impaired glial autophagy. Remarkably, glia can obtain sphingolipid precursors needed for autophagy by phagocytosing neurons. These precursors are then converted into specific long-chain ceramide phosphoethanolamines (CPEs), invertebrate analogs of sphingomyelin. These lipids are essential for glia to arborize and infiltrate the brain, a critical step in circuit maturation that when disrupted leads to reduced synapse numbers. Taken together, our results demonstrate how spatiotemporal tuning of sphingolipid metabolism during development plays an instructive role in programming brain architecture. Highlights Brain sphingolipids (SLs) remodel to very long-chain species during circuit maturation Glial autophagy requires de novo SL biosynthesis coordinated across neurons and glia Glia evade a biosynthetic blockade by phagolysosomal salvage of neuronal SLs Ceramide Phosphoethanolamine is critical for glial infiltration and synapse density Introduction The dynamic regulation of cellular membranes in the brain is essential for circuit formation, synaptic function, and structural plasticity. During development, neurons extend and retract arbors, adding and removing membranes as they seek precise connections with synaptic partners 1 – 4 . In parallel, glial cells differentiate into diverse subtypes with distinctive and complex morphologies 5 – 9 . Previous work has described many proteins that regulate synaptic specificity and the establishment of glial architecture 10 – 17 . However, the possible roles of membrane lipids in shaping these processes remain largely unexplored. Brain development requires the morphological maturation and precise integration of glial cells. In the mammalian brain, astrocytes extend thousands of fine processes throughout the neuropil, closely associating with synapses to modulate circuit function 7 , 18 – 20 . Oligodendrocytes wrap neuronal arbors to facilitate electrical conduction 21 , while microglia sculpt neural circuits through synaptic pruning 22 . In the Drosophila mushroom body, glial cells infiltrate just prior to engulfing fragmented axons, which are subsequently processed via the endolysosomal pathway 23 . Glial entry into the brain during early development and glial remodeling in response to axonal injury has been linked to phagocytosis 24 , 25 . However, the role of the lipidome in shaping glial arborization and infiltration is unknown. Endolysosomal processing depends on lipid membranes to form vesicular structures that transition through a continuum of intermediates, culminating in lysosomes, the terminal degradation hubs of the cell. These transitions are marked by changes in membrane-associated proteins, such as the replacement of Rab5 by Rab7 during the transition from early endosomes to late endosomes 26 , as well as changes in lipid composition that together reflect endosomal identity. The addition of membrane material is crucial to the growing autophagosome, and lipid components of endosomal membranes can play signaling roles 21 , 27 , 28 . Finally, lipids are largely processed in the lysosome, where resident enzymes catabolize specific lipid classes 29 – 31 . Brain lipids are highly diverse, with thousands of species varying within and across tissues 32 – 37 . The majority of a cell’s lipidome is comprised of glycerophospholipids including phosphatidylcholine, phosphoethanolamine, and phosphatidylserine, as well as sterols like cholesterol 38 , 39 . However, several rarer lipid classes exist that together account for less than 10% of brain lipids 34 . Intriguingly, mutations in enzymes that synthesize and catabolize one of these classes, the sphingolipids, are associated with a number of neurodegenerative disorders including Parkinson’s Disease, amyotrophic lateral sclerosis, and frontotemporal dementia 40 – 46 . Moreover, recent work in other systems has tied changes in sphingolipids to a wide variety of membrane rearrangements, including Purkinje and hippocampal neuron growth 47 , 48 , myelin wrapping and compaction 49 – 52 , and changes in microglia morphology 53 , 54 . In the fly brain, sphingolipids regulate myriad functions, spanning neuropil compartmentalization 55 and neural circuit remodeling 56 to rhodopsin trafficking 57 , 58 , neural excitability 59 , peripheral glial wrapping 60 , 61 , immune activation 62 , protein clearance 63 – 68 , and the control of circadian rhythms 65 , 69 . Some of these phenotypes have been associated with defects in endolysosomal processing. For example, gba1b mutants have enlarged lysosomes and accumulate the autophagy adaptor p62 63 – 65 , 70 , 71 . Previously, we found that sphingolipids directly program ultrastructural remodeling in circadian circuits, with low sphingolipids permitting neurite outgrowth, and high sphingolipids causing neurite retraction 65 . These observations raised the exciting hypothesis that dynamic changes in sphingolipid levels could be used to control membrane rearrangements. To test this hypothesis, we sought to characterize sphingolipids during brain development, when many cells undergo dramatic morphological changes. Strikingly, we find that sphingolipid metabolism is dynamic, with a temporally restricted bolus of sphingolipids that emerges as synapses begin to assemble, and which produces long-chain sphingolipids as circuits mature and glia infiltrate. Disrupting sphingolipid catabolism specifically in glia impairs endolysosomal processing, while blocking de novo sphingolipid biosynthesis in both neurons and glia disrupts autophagy in glia. Strikingly, glia can acquire the sphingolipids they need for autophagy by phagocytosing neuronal membranes. When glia cannot synthesize a specific sphingolipid, Ceramide Phosphoethanolamine (CPE), they fail to infiltrate the brain, leading to reductions in synapse numbers. Thus, by the timely production and incorporation of neuronal sphingolipids, glia acquire the capacity to complete autophagy and to arborize into mature circuits. Results Sphingolipids are extensively remodeled during brain development Given that sphingolipids play an instructive role in shaping neurite remodeling in circadian circuits in the adult brain, we hypothesized that sphingolipids might also sculpt earlier stages of brain development. In Drosophila , the adult brain begins to assemble during the third instar larval stage, with the first part of pupal development (0-24 hours after puparium formation (APF)) characterized by proliferation and differentiation of adult neurons and glia, as well as intensive glial phagocytosis of degenerating larval neuropils 23 , 24 ( Figure 1A ). Next, differentiated neurites from adult neurons extend towards specific synaptic targets, beginning synapse assembly at approximately 48h APF. Over the second half of pupal development, synapse assembly, maturation and refinement continue 72 – 74 . Finally, in parallel with these later stages of neuronal maturation, specific glial subtypes, including astrocytes and ensheathing glia, infiltrate into the neuropil, forming tight associations with neuronal processes and synapses prior to eclosion at ∼96h APF 73 , 75 . Download figure Open in new tab Figure 1. Sphingolipids are extensively remodeled during brain development (A) Schematic of adult brain development in the fruit fly Drosophila melanogaster , and the major sphingolipid families Ceramide (Cer), Glucosylceramide (GlcCer), and Ceramide Phosphoethanolamine (CPE). (B) Mol% fraction of developing brain lipids (pink) taken at 48 hours after puparium formation (48h APF) compared to day 1 adult brains (blue). (C) Principal component analysis of the three sphingolipid classes across four developmental timepoints from dissected brains: 24h APF (green), 48h APF (magenta), 72h APF (orange), and newly eclosed adults (blue). (D) Very long-chain fatty acids (VLCFA) increase in late brain development, while d14 sphingoid base enrichment is transiently elevated in mid-development (E) Heatmap of sphingolipid species z-scored across developmental time (red = enriched). (F) Examples of major CPE, Cer, and GlcCer species that undergo developmental remodeling from shorter to longer acyl chains, quantified as ng/brain. Lipidomics in C-F represent 8 tubes of 15 brains per each timepoint, with mean and SEM plotted across time connected by loess lines in D. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 To quantify lipid levels during development, we first dissected control brains at mid-pupal development (48h APF), and across the first ten days of adult life, and used liquid chromatography-mass spectrometry (LC-MS/MS; see Methods) to measure the relative abundance of both membrane phospholipids and sphingolipids ( Figure 1B , Figure S1 ). In line with previous studies of the adult brain 76 – 78 , three classes of membrane phospholipids, namely phosphatidylethanolamine (PE), phosphatidylcholine (PC), and phosphatidylserine (PS), represent a dominant fraction of the brain lipidome, and displayed little total change between mid-pupal and adult stages ( Figure 1B ). By contrast, all three major sphingolipid families, namely Ceramides (Cer), GlucosylCeramides (GlcCer), and Ceramide Phosphoethanolamine (CPE), displayed significant changes between these two stages, as Cer and GlcCer were ∼250-300% higher in pupal brains, while CPE levels were ∼50% lower in pupal brains ( Figure 1B ; Figure S1A-B ). Thus, unlike the more common phospholipid classes, the total abundance of sphingolipids varied substantially during brain development. Given these dramatic developmental changes, we next quantified specific sphingolipid species, including approximately 20 CPE species, 20 Cer species, and 10 GlcCer species that differed by chain lengths and saturations ( Figure 1C ). By convention, these lipid species are differentiated by head group (separating the three classes, Cer, GlcCer and CPE), and by the length and unsaturation of the two hydrophobic chains. For example, Cer 14:1/18:0 denotes a Ceramide containing a d14:1 sphingoid base comprised of one double bond and 14 carbons, paired with the fatty-acid stearic acid C18:0 ( Figure 1A ). Principal component analysis of sphingolipid distribution strongly separated 48h APF brains from all other adult ages (2,3,5, and 10 days), with developmental increases in 14:1/18:0 chains across all sphingolipids ( Figure S1A-C ). We did not observe major differences between sexes ( Figure S1D ). Intrigued by this developmental sphingolipid signature, we measured lipids in brains from 24h APF, 48h APF, 72h APF, and newly eclosed adults ( Figure 1C , Figure S1E ). Principal component analysis of sphingolipid species strongly separated adult samples from pupal samples, accounting for ∼40-70% of variance across all three sphingolipid families ( Figure 1C ). While Cer and GlcCer species grouped all three pupal stages together, the CPE family cleanly separated all timepoints, suggesting that this lipid class undergoes particularly extensive developmental remodeling. By analyzing weighted averages of chain distributions across all three classes, we found that very long-chain fatty acids (VLCFA, defined as a fatty acyl tail longer than 20 carbons) increased during the second half of pupal development, and that d14 sphingolipids were transiently enriched at 48h APF and 72h APF ( Figure 1D ). We next examined individual lipid species. The relative distribution of sphingolipids dynamically varied across time, with the most dramatic changes occurring between 72h APF and adulthood ( Figure 1E ; Figure S1F ). Within each class of sphingolipids we observed a variety of patterns, with specific species that are relatively high during early pupal development and then fall, species that are low and then rise, and with some species that peaked at other pupal stages ( Figure 1E - 1F ). Notably, across all sphingolipids, species with shorter fatty acyl chains were transiently abundant earlier in development, whereas longer chain species became enriched during late pupal development ( Figure 1F ). For example, 14:1/18:0 CPE continuously declined across development, whereas CPE 14:1/22:0 doubled between mid-pupal development and adulthood, and accounted for 35% of our total measured sphingolipid species at this timepoint. Thus, brain development is characterized by highly dynamic sphingolipid remodeling, particularly during the latter half of pupal development, after neurons have chosen specific synaptic targets. Coordinated sphingolipid biosynthesis and catabolism constrain the developmental lipidome How does the brain coordinately remodel sphingolipids? To gain insights into the genetic programs underlying sphingolipid remodeling during development, we examined the expression of major sphingolipid-regulating enzymes in longitudinal single-cell RNA sequencing datasets of the fly optic lobe 74 . We reasoned that sphingolipid remodeling could occur through either de novo biosynthesis via the serine palmitoyltransferase (SPT) complex located in the endoplasmic reticulum, or catabolic salvage via Glucocerebrosidase (GBA) or via acid Sphingomyelinase (aSMase) located in the lysosome. Intriguingly, both neurons and glia coordinately induce the expression of lace (SPTLCB2), the rate-limiting enzyme in the SPT complex, with neural expression peaking at 60h APF and glial expression at 48h APF ( Figure 2A ). In contrast, expression of gba1b (GBA) and aSMase (SMPD1) were restricted to glia, with gba1b transcripts peaking at 48-60h APF, the height of developmental GlcCer abundance, and aSMase peaking twice at 36h APF and 96h APF ( Figure 2A ). We validated the neuronal and glial expression of these three genes using CRIMIC-GAL4 lines 79 , and found that lace was expressed in both neurons and glia, while gba1b and aSMase were exclusively expressed in glia ( Figure S2A-S2B ). These data suggest that compartmentalized glial catabolism and de novo biosynthesis in both neurons and glia could tune the developing brain sphingolipidome. Download figure Open in new tab Figure 2. Coordinated sphingolipid biosynthesis and catabolism constrain the developmental lipidome (A) Schematic of compartmentalized de novo biosynthesis via lace/SPT, and lysosomal catabolism mediated by Gba1b (cleaves GlcCer) and aSMase (cleaves CPE). RNA-sequencing data of these biosynthetic and catabolic genes are replotted from 74 , with the average expression of 88 neural clusters shown in blue, and six glial clusters shown in orange, from 24h to 96h APF. Data are represented as mean ± SEM. (B) Lipidomic analysis of total, d14, and d16 sphingolipids from controls (green) and brains depleted of lace via RNAi in glia (blue), neurons (red), or both (magenta) across two developmental timepoints, 48h APF and day 1. (B’) Lipidomic analysis of total, d14, and d16 sphingolipids from controls (green) and brains mutant for gba1b Δ (magenta) and glial aSMase KD (orange). (C) Lipidomics of control brains (green) versus lace - RNAi (lace KD ) using early ( elav-GAL4 , dark red) and late neural ( nSyb-GAL4 , light red), glial ( repo-GAL4 , blue), or combined drivers ( elav-GAL4, repo-GAL4, dark purple; and nSyb-GAL4, repo-GAL4, light purple). (D) Model for how removal of lace from neurons, glia, or both changes the brain sphingolipidome based on sphingoid base, with glial d14 and neuronal d16 contributions. n= 4 tubes of 15 brains per each timepoint, with mean and SEM plotted across time connected by loess lines or as barplots in D. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 To test this model, we first analyzed brain lipidomes from 48h APF and Day 1 adults in which lace was disrupted ( Figure 2B ; Figure S2C-S2D ). We knocked down lace using RNAi in all glia with repo-GAL4 , in all neurons with nSyb - GAL4 , and in both classes with nsyb-GAL4, repo-GAL4. Consistent with neurons and glia both making biosynthetic contributions to sphingolipid levels, knockdown of lace in both cell types reduced the total levels of CPE and Cer across development, while total GlcCer levels were unaffected ( Figure 2B ). At this level, perturbations of lace in only neurons had modest effects, whereas knocking down lace in glia had larger effects on Cer and CPE. We next separated each sphingolipid class by the length of its sphingoid base, which can be d14 (typically representing approximately 90% of the total), d16 (representing 10% of the total), or trace levels of d15 80 . For all three sphingolipid classes, neuron-specific knockdown of lace had no effect on any d14 species, but reduced d16 CPE and Cer at Day1. Conversely, glial-specific knockdown of lace caused reductions in the levels of d14 CPE and Cer. Strikingly, however, the reductions in d14 CPE and Cer species seen in glial lace knockdown were paralleled by dramatically increased levels of d16 CPE and d16 Cer. This reciprocity between neuronal and glial manipulations of de novo biosynthesis suggested that loss of biosynthesis in glia may trigger compensatory upregulation of biosynthesis in neurons. However, while glial lace KD brains displayed a three-fold increase in d16 CPE, simultaneously removing lace from neurons only incompletely reduced this effect ( Figure 2B ). Thus, d16 species may be produced in neurons before the nSyb- GAL4 mediated RNAi becomes effective, or they could be derived from non-neuronal (and non-glial) tissues. To discriminate between these two possibilities, we repeated these experiments using a second neuronal driver, elav-GAL4 , that is expressed earlier in development. Strikingly, using elav-GAL4, repo-GAL4 to drive lace KD in both neurons and glia completely suppressed the increased abundance of d16 species ( Figure 2C ). Moreover, d14 species were dramatically depleted, with CPE 14:1/22:0 and CPE 14:1/24:0 reduced to 25% of control levels ( Figure 2C ). Thus, while total sphingolipids are not reduced in glial lace KD due to compensatory increases in d16 balancing the loss of d14, removing lace from both neurons and glia prevented this compensation and reduced total sphingolipid levels to one third of controls ( Figure 2D ). This loss of sphingolipids had severe consequences for adult animals, who were largely unable to move. Thus, combined glial and neuronal de novo biosynthesis is required for an essential developmental sphingolipid bolus, with neuronal lace activity producing d16 sphingolipids, and both neuronal and glial lace producing d14 sphingolipids ( Figure 2D ). We next used gba1b mutants to block GlcCer catabolism, and used glial knockdown of aSMase to block CPE catabolism, as aSMase null homozygotes are lethal 81 ( Figure 2B’ ; Figure S2C’-D’ ). Consistent with the expected biochemical selectivity, gba1b mutants specifically accumulate GlcCer, whereas in glial aSMase KD animals, CPE levels were substantially increased ( Figure 2B’ ; Figure S). Both gba1b mutants and glial aSMase KD also had more modest effects on Cer levels, consistent with indirect effects on pathway flux. Taken together with the effects of the biosynthetic mutants, the developmental sphingolipidome is tuned in amplitude by both de novo biosynthesis from neurons and glia, and catabolism in glia. Disrupting sphingolipid levels alters endolysosomal processing and autophagy We next sought to characterize the cellular consequences of perturbing sphingolipid catabolism and biosynthesis on brain development. Newly eclosed gba1b adults harbor hypertrophic lysosomes and, upon aging, accumulate p62/SQSTM1 63 , 65 , 82 , an adaptor protein that bridges polyubiquitinated substrates and autophagosomes 83 . We therefore predicted that catabolic mutants would dysregulate endolysosomal processing and accumulate p62. Consistent with this view, both gba1b and glial aSMase KD brains had enlarged lysosomes relative to control brains at 48h APF ( Figure 3A - 3B ; Figure S3A-S3B ). Similarly, the late endosome marker Rab7 accumulated in catabolic mutants within discrete neuropil boundary regions ( Figure 3C ). In addition, disrupting expression of lace in either neurons, glia, or both had no visible effects on either lysosomal enlargement or Rab7 accumulation ( Figure 3B-C ). However, contrary to our expectations, while catabolic mutants did not accumulate p62 at 48h APF, removing lace from neurons and glia caused large p62+ puncta accumulation at neuropil boundaries ( Figure 3D ). Thus, loss of sphingolipid catabolism during development causes endolysosomal defects, yet impairing sphingolipid biosynthesis in both neurons and glia causes autophagy defects. Download figure Open in new tab Figure 3. Disrupting sphingolipid levels alters endolysosomal processing and autophagy (A) Schematic of endolysosomal and p62 autophagy pathways 26 , and the area of the brain selected for confocal imaging, the sub-esophageal zone (yellow box, SEZ). (B) Lysotracker labeling in max-intensity projections (MIP) of the central brain at 48h APF across control, catabolic, and biosynthetic mutants. Scale bar = 40 μm. (C) MIPs of Rab7 staining at 48h APF taken from control, catabolic, and biosynthetic mutants (upper panels, scale bar = 100 μm), with high magnification images of the SEZ (lower panels, scale bar = 50 μm). (D) MIPs of p62 staining at 48h APF, taken from control, catabolic, and biosynthetic mutants (upper panels, scale bar = 100 μm), with high magnification images of the SEZ (lower panels, scale bar = 50 μm). p62 aggregates appeared only following the dual depletion of lace in both neurons and glia using nSyb-GAL4, repo-GAL4 . Data are represented as mean ± SEM. n > 10 brains per condition. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Neuronal and glial sphingolipid biosynthesis regulates glial autophagy We next sought to determine where the autophagy defects caused by lace knockdown occurred in the brain. As observed during pupal development, newly eclosed adults in which lace was knocked down in both neurons and glia accumulated p62 ( Figure 4A ). The accumulation of p62 puncta near the edges of the neuropil was reminiscent of the positions of the cell bodies of astrocyte-like and ensheathing glia 84 , 85 . Using an antibody against Glutamine synthetase 2 (Gs2), which labels neuropil glia (including astrocyte-like and ensheathing glia ( Figure S4A-S4C ) 85 , we found that p62 accumulated specifically within Gs2+ glia, both inside the soma and within glial branches that extended into the neuropil ( Figure 4A ). Consistent with a broad defect in autophagy, these p62+ puncta also contained high levels of ubiquitin ( Figure 4B ). This phenotype was selectively observed when lace was removed from both neurons and glia, but not from either class individually, or in catabolic manipulations ( Figure 4C ). Thus, neuronal and glial sphingolipid biosynthesis is required for glial autophagy during development ( Figure 4D ). Download figure Open in new tab Figure 4. Neuronal and glial sphingolipid biosynthesis regulates glial autophagy (A) Schematic of the adult fly brain and the anterior ventrolateral protocerebrum (AVLP) region selected for aggregate quantification. (A’) Confocal images of day 1 brains from controls and lace-RNAi ( lace KD ) in neurons and glia, stained for neuropil (nc82, magenta), p62 (green), and glutamine synthase 2 (Gs2, light blue). Scale bars = 100 μm; AVLP zoom scale bar = 20 μm. (B) Confocal images of the AVLP from day1 controls and lace-RNAi ( lace KD ) in neurons and glia, stained for neuropil (nc82, magenta), p62 (green), and ubiquitin (light blue). Scale bar = 20 μm. (B’) Quantification of p62 area, ubiquitin area, and the correlation between ubiquitin and p62. (C) AVLP stained with p62 (green) and Gs2 (light blue) across biosynthetic and catabolic mutants. p62 accumulates selectively in the simultaneous depletion of lace from neurons and glia using nSyb-GAL4, repo-GAL4 . Scale bar = 20 μm. (C’) Quantification of p62 and p62-Gs2 colocalization from AVLP in C. (D) Model for p62 aggregation in glia upon simultaneous loss of lace (purple circle in ER) from neurons and glia. Data are represented as mean ± SEM. n > 10 brains per condition. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 CPE is cell-autonomously required for autophagy in glia To identify the sphingolipids required to sustain glial autophagy, we depleted various sphingolipid biosynthetic enzymes in neurons, glia, or both ( Figure 5A-B ; Figure S5 ). Depletion of either the Ceramide Synthase, schlank ( CerS), or the CPE synthase cpes in all glia caused p62 accumulation within Gs2+ glia ( Figure 5B ). Conversely, neuronal depletion of schlank or cpes did not ( Figure 5B ). Moreover, knocking down cpes expression only in Gs2+ glia using two independent drivers was sufficient to trigger p62 puncta ( Figure 5C ; Figure S5A ), pointing to a cell-autonomous role for CPE synthesis. Strikingly, while cpes trans-heterozygous null animals also harbored p62 aggregates, this phenotype was strongly rescued by Gs2-GAL4 driving expression of UAS-Cpes constructs, whereas neuronal drivers failed to rescue, as did most other glial drivers ( Figure S5C-E ). Thus, Gs2+ glia autonomously require CPE biosynthesis for autophagy. Download figure Open in new tab Figure 5. CPE is cell-autonomously required for autophagy in glia (A) Model depicting the requirement for lace expression in neurons and glia, or schlank (CerS) and cpes (CPE synthase) expression in glia. To label CPE lipids, PlyA2 domain conjugated at the C-terminus to mScarlet3 is expressed using GAL4/UAS . PlyA2 selectively binds CPE, but the W96A mutation abrogates binding while still expressing mScarlet3 as a control. (B) AVLP stained with p62 (green) and Gs2 (light blue) in neuronal ( nSyb-GAL4 ) or glial ( repo-GAL4 ) knockdown of schlank or the CPE synthase cpes . Scale bar = 20 μm. B’, quantification of p62 area in AVLP. (C) AVLP stained with p62 (green) and Gs2 (light blue) in Gs2+ glial knockdown of schlank or cpes using Gs2-GAL4. The cpes null p62 phenotype is rescued by Gs2-GAL4 driving UAS-Cpes . Scale bar = 20 μm. C’, quantification of p62 area in AVLP. (D) Genetically encoded PlyA2::mScarlet3 biosensor for CPE expressed in Gs2+ glia (magenta), with CD8-GFP (green) labeling glial membranes. The control probe expresses PlyA2[W96A]:mScarlet3 , a mutated version of PlyA2 that abrogates lipid binding. Zooms into AVLP show fine membrane processes labeled by GFP that also accumulate the CPE biosensor but not the control probe. Scale bar = 50 μm and 10um for zooms into AVLP membranes. Data are represented as mean ± SEM. A-C, n > 10 brains per condition. D, n = 5 brains. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 We next examined whether the headgroup of CPE was required for its function in glia, using heterologous expression of human Sphingomyelin Synthase enzymes hSMS1 or hSMS2. While flies do not normally produce sphingomyelin endogenously given the absence of genomic SM synthases 86 , introducing hSMS1 into cpes nulls generates ectopic Sphingomyelin, while heterologously expressing hSMS2 generates both CPE and ectopic Sphingomyelin 87 . Intriguingly, expressing either hSMS2 or hSMS1 in Gs2+ glia in cpes null mutant animals strongly rescued the p62 phenotype, suggesting that Sphingomyelin can functionally replace CPE in neuropil glia for autophagy ( Figure S5B , Figure S5E ). Finally, to test if Gs2+ glia contain CPE, we generated a genetically encoded CPE probe using the non-cytolytic pleurotolysin domain PlyA2 fused to mScarlet3 at the C-terminus. Previously, using purified liposomes and ex vivo assays, PlyA2 was demonstrated to selectively bind to the sphingolipids CPE or SM, but not to identical headgroups of the glycerophospholipids phosphatidylethanolamine or phosphatidylcholine 88 – 92 . Thus, PlyA2 should label CPE in Drosophila , which lack SM and SM synthases 86 . We also generated a negative control for this probe, PlyA2 W96A , which abolished CPE binding in liposomes and in CNS explants 88 , 89 . To detect CPE in Gs2+ glia, we co-expressed CD8::GFP with either PlyA2::mScarlet3 or PlyA2 W96A ::mScarlet3 . Under these conditions, glia in newly eclosed animals robustly accumulated PlyA2 labeling, but did not accumulate PlyA2 W96A ( Figure 5D ). Thus, Gs2+ glia contain CPE at membranes in close contact with neuronal synapses. Taken together, these results demonstrate that CPE synthesis in Gs2 glia is necessary and sufficient to prevent the accumulation of p62 aggregates. Crucially, as knockdown of lace in neurons and glia phenocopied the loss of CPE production specifically in glia (achieved via knockdown of cpes and schlank ), glia can use sphingolipid precursors produced in both neurons and glia to generate CPE ( Figure 5A ). Transfer of neuronal lipids to glia by the phagolysosome How can neuronally derived sphingolipids be used to make CPE in glia? We hypothesized that glia might obtain lipids via phagocytosis of neuronal membranes. Consistent with this hypothesis, we observed that the MEGF10 homolog draper 93 was enriched in p62 positive puncta when lace was removed from both neurons and glia, or when cpes was removed from either Gs2+ glia or in cpes null animals ( Figure 6A ). This phenotype was rescued in cpes null animals when Cpes was expressed only in Gs2+ glia ( Figure 6A ). To test this idea further, we labeled glial membranes with mCD8::GFP and neuronal membranes with myr::TdTomato and then removed cpes from Gs2+ glia. Under these conditions, we observed glial membranes enclosing neural membranes, subsets of which were decorated with ubiquitin ( Figure S6A ). Download figure Open in new tab Figure 6. Transfer of neuronal lipids to glia by the phagolysosome (A) The phagocytosis receptor draper (drpr, light blue) accumulates in p62+ aggregates (green) in CPE-depleted Gs2 glia (using nsyb-GAL4, repo-GAL4 to deplete lace , or Gs2-GAL4 to deplete cpes ). cpes nulls also accumulate drpr but are rescued by Gs2-GAL4 expressing UAS-Cpes . Scale bar = 20 μm. (A’) Quantification of drpr accumulation and colocalization with p62 from B. (B) AVLP stained with p62 (green) in glial knockdown of phagocytosis genes drpr or shark using repo-GAL4, and in males mutant for ori . Scale bar = 20 μm. (B’) AVLP stained with p62 (green) from brains depleted of lace in glia using repo-GAL4 combined with the simultaneous removal of phagocytosis genes drpr or shark, and in males mutant for ori . Scale bar = 20 μm. (B’’) Quantification of p62 accumulation from D-D’. (C) AVLP stained with p62 (green) in lysosomal catabolic perturbations ( gba1b Δ or glial knockdown of aSMase using repo-GAL4 ), or autophagy/late endosome protein knockdown of atg5/rab7 in glia using repo-GAL4 . Scale bar = 20 μm. (C’) AVLP stained with p62 (green) from brains depleted of lace in glia using repo-GAL4 combined with the simultaneous removal of lysosomal genes ( gba1b Δ or glial knockdown of aSMase using repo-GAL4 ), or autophagy/late endosome protein knockdown of atg5/rab7 in glia using repo-GAL4 . Scale bar = 20 μm. (D’’) Quantification of p62 accumulation from E-E’. (D) Lipidomics of day 1 brains from controls ( +/lace KD , green), glial lace knockdown ( repo-GAL4 , blue), neural+glial lace knockdown ( nSyb-GAL4, repo-GAL4, light purple), gba1b Δ mutants (red), and gba1b Δ mutants in glial lace knockdowns ( gba1b Δ + repo-GAL4>lace KD , dark red). (D’) PCA plot for CPE of genotypes in F, with PC1 loadings summed for d14 vs d16. (D’’) Total CPE, total d16, and total d14 sphingolipids from genotypes in F, in ng/brain. Data are represented as mean ± SEM. n > 10 brains per condition for A-C, n = 4 tubes of 15 brains for D. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 If glia obtain sphingolipids either through lace-dependent de novo biosynthesis or by phagocytosing and recycling neuronal sphingolipids, then simultaneous blockade of both mechanisms should impair CPE production and lead to p62 accumulation. We therefore combined knockdown of lace in glia with phagolysosome perturbations. Indeed, combining knockdown of lace in glia with knockdown of the phagocytosis receptor draper, its bridging chemokine orion 94 , or the downstream effector kinase shark 95 triggered p62 accumulation ( Figure 6B-B’’ ; Figure S6B-S6E ). Similarly, targeting lysosomal recycling by removing gba1b or aSMase together with glial lace knockdown also caused accumulation of p62 ( Figure 6C-C’’ ). Importantly, removal of these catabolic enzymes or phagocytosis effectors alone did not lead to p62 accumulation (nor did knockdown of lace in glia alone). This surprising genetic interaction between biosynthesis ( lace ) and catabolism ( draper, gba1b, aSMase ) points to a key role for glial salvage of neuronal lipids for future biosynthesis. Indeed, lipidomics of gba1b mutants combined with glial knockdown of lace ( gba1b Δ + repo>lace KD ) revealed strong effects on CPE lipids, with PC1 strongly separating this genetic interaction from controls or plain gba1b mutants ( Figure 6D-D’ ). Similar to the simultaneous loss of lace from both neurons and glia, the separation of gba1b Δ + repo>lace KD from controls was driven by loss of d14 and gain of d16 CPEs. Indeed, total CPE and d14 sphingolipids were depleted in gba1b Δ + repo>lace KD , yet the d16 sphingolipids that become elevated in glial knockouts of lace remained highly enriched ( Figure 6D’’ ). These data are consistent with Gba1b and lysosomal catabolism functioning downstream of the phagocytosis of neuronal d16 sphingolipids to produce d14 CPE for glia. CPE is required for glial infiltration and synapse numbers We next investigated the developmental consequences for Gs2+ glia deprived of CPE. During the late stages of brain development, astrocyte processes grow into synaptic neuropils by first extending large primary branches, and then by infiltrating fine secondary processes towards synapses 73 , 96 . We therefore tested if either primary branch formation or subsequent secondary infiltration requires CPE. To do this, we sparsely labeled Gs2+ glia using SPARC 97 in controls and in animals where cpes had been knocked down using Gs2-GAL4 . We quantified astrocyte morphology across the late stages of pupal development ( Figure 7A ; Figure S7A ). At 48h APF, astrocytes in control brains and cpes KD brains were indistinguishable, and displayed little outgrowth ( Figure 7B ). At 72h APF, control astrocytes grew substantially by extending primary branches and increasing both branch number and surface area. At the same stage, astrocytes lacking cpes also grew, extending primary branches that had reduced complexity. At eclosion, when control astrocytes displayed elaborate branching and substantial growth in surface area, cpes deficient astrocytes were morphologically aberrant, with strongly reduced branching complexity and reduced surface area ( Figure 7B ; Figure S7B ). To visualize the outgrowth of fine processes more closely, we examined cross sections of the neuropil and quantified the number of discrete glial segments ( Figure 7C ). Strikingly, loss of cpes increased the thickness of the primary branches relative to controls while simultaneously reducing the degree of discrete glial infiltrations ( Figure 7C’ ). Thus, during brain maturation, synapse-infiltrating Gs2+ astrocytes undergo dramatic membrane growth and branching, morphological changes that require CPE. Download figure Open in new tab Fig.7 CPE is required for glial infiltration and synapse numbers (A) Schematic of the mushroom body calyx region used for quantification of glial morphology as glia infiltrate synapses between 48h APF and eclosion (day 1). (B) Sparsely labeled Gs2+ astrocytes expressing CD8-GFP were imaged across brain development in controls and Gs2-GAL4 mediated cpes knockdowns at 48h APF, 72h APF, and day 1. Shown are maximum intensity projections of clones in the mushroom body calyx. Scale bars = 20 μm. n = 5 clones for 48h APF, n = 8 clones for 72h APF, n = 20 clones for day 1. (B’) Quantification of branching (sholl analysis) and surface area across controls (green) and cpes knockdowns (magenta). (C) Cross-sections of mushroom body calyx clones from controls (top rows) or cpes knockdowns (bottom rows) at day 1, with CD8-GFP (green) marking glial membranes in the synaptic neuropil (magenta). Scale bars = 20 μm. n = 15 cross sections. (C’) Quantification of cross-section glial particle number and size, and primary branch width across controls (green) and cpes knockdowns (magenta) at day 1. n = 15 cross sections. (D) Synapse protein levels were measured using an ELISA assay to detect Brp::GFP 99 in fly head lysates from glial cpes knockdowns with repo-GAL4 (magenta) normalized to controls (green). n = 10 replicates (20 heads total). (E) Model. Data are represented as mean ± SEM. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 As astrocytes can regulate the development and maintenance of synapses 98 , we asked if this disruption of glial infiltration was associated with a loss of synapses. By using a quantitative ELISA-based assay to measure expression of the synaptic active zone protein Bruchpilot (Brp) 99 , we found that Brp levels were reduced when cpes was knocked down in glia ( Figure 7D ). Moreover, we observed qualitatively similar reductions in Brp staining in the mushroom body calyx ( Figure S7C ), where we also observed changes in Gs2 glial morphology when cpes was cell-autonomously knocked down. Finally, we profiled lipids from controls and brains depleted of cpes in Gs2 glia, which account for ∼3.5% of the entire brain used for LC-MS. Despite the sparsity of this genetic manipulation, we detected reductions in VLCFA CPEs 14:1/22:0 and 14:1/24:0 ( Figure S7D ). Consistent with a requirement for VLCFA sphingolipids, Gs2 glia depleted of the Ceramide Synthase schlank were rescued from autophagy defects via heterologous expression of human CerS2 ( Figure S7E-E’ ). In contrast, hCerS6, which selectively produces C14-C16 sphingolipids, could not rescue autophagy defects ( Figure S7E-E’ ). However, while hCerS2 localized extensively throughout glial processes, hCerS6 localized more selectively to primary branches ( Figure S7F ), meaning that either shorter chain lengths or altered localization could underlie the failed rescue. Nonetheless, these data show that VLCFA sphingolipids are sufficient for autophagy in Gs2 glia, and that VLCFA CPE levels are reduced when cpes is selectively removed from this cell class. Taken ogether, these results argue that VLCFA CPE is required for glia to infiltrate the neuropil as circuits mature, a process that is essential to adult synapse regulation ( Figure 7E ). Discussion Sphingolipids play a central role in circuit maturation in the developing brain Assembling the complex architecture of the brain requires precisely coordinated changes in neuronal and glial morphologies, changes that necessitate spatiotemporally controlled reorganization of lipid membranes 100 , 101 . While many lipids play structural roles, lipids can also act as signals in the developing brain. Here we define a new role for lipids during development, whereby a precisely timed bolus of sphingolipids governs circuit maturation, enabling glia to infiltrate the developing brain after neurons have chosen synaptic partners. We show that a specific subclass of sphingolipids, long-chain CPE species, are essential for both autophagy and membrane elaboration in neuropil glia that must extend fine processes throughout the synaptic neuropil. Strikingly, glia bypass a blockade in de novo sphingolipid biosynthesis by consuming neuronal sphingolipids to sustain glial infiltration. Disruption of this metabolic coupling prevents glial infiltration into the developing brain, leading to synaptic defects. Thus, combining a timed developmental bolus of sphingolipid production with a non-autonomous lipid-based interaction between neurons and glia creates a coordinating mechanism by which neuronal and glial membranes can be remodeled concurrently, at the correct time. Coordinating glial infiltration, CPE production, and synaptic activity Long-chain CPE sphingolipids accumulate in the brain from 72h APF into adulthood ( Figure 1 ), corresponding to when Gs2+ astrocytes ramify processes ( Figure 7B ) that contain CPE at plasma membranes ( Figure 5D ). Crucially, loss of glial CPE reduces synapse density ( Figure 7D ) and caused photosensitive epilepsy, pointing to the importance of this glial lipid in the nonautonomous control of neuronal functions 59 . Intriguingly, electrical activity begins and increases throughout this developmental period 72 , 73 , and work in many species has described activity-dependent induction of glial phagocytic remodeling of synapses 75 , 102 , 103 . Consistent with this model, Draper/MEGF10 is elevated during late pupal development and mediates early-life circuit remodeling 75 , 103 , 104 . At the same time, hyperactivation of Draper or phagocytosis causes degeneration 62 , 105 – 107 , showcasing that membrane rearrangements must be carefully balanced. Taken together, neuronal activity may couple glial phagocytosis to enable CPE production and infiltration, an exciting possibility for future investigation. Sphingolipid biosynthesis regulates glial autophagy One of the surprising results of our work is the finding that sphingolipids are critical regulators of autophagy in glia. Disrupting sphingolipid biosynthesis in both neurons or glia, or blocking CPE production autonomously in neuropil glia, results in the accumulation of p62 aggregates ( Figures 3 - 5 ). Intriguingly, blocking sphingolipid catabolism also leads to the accumulation of p62 protein aggregates in older brains 65 , 82 , hinting that impaired endolysosomal processing may ultimately lead to defects in sphingolipid biosynthesis, downstream of impaired catabolism. Consistent with this hypothesis, blocking gba1b when glia are also deprived of sphingolipid biosynthesis caused a dramatic autophagy defect ( Figure 6E ), demonstrating that catabolism serves a crucial anabolic function through the liberation of sphingolipid precursors. Why does removing CPE from neuropil glia cause defects in autophagy? CPE/SM trafficked from the plasma membrane via endolysosomal pathways could control endomembrane rearrangements relevant to the timely processing of autophagosomes or phagolysosomes. For example, SM selectively partitions into intraluminal vesicles from endosomal compartments when visualized by super-resolution microscopy 108 , and CPE is critical for multivesicular body formation at the cytokinetic furrow 89 . Thus, specific pools of CPE could directly control autophagy through sorting to intraluminal vesicles and generating Ceramides essential for autophagy-lysosomal flux 109 – 111 , such as during Schwann cell myelinophagy 112 . Regardless of the specific regulatory mechanism, studies of bulk lipidomics from flies also revealed strong ceramide induction during pupal development 113 , and timed increases in sphingolipid levels occur during brain development in mice 87 , 114 and humans 115 , 116 . Thus, across many species, sphingolipids may tune autophagic flux both within and outside the nervous system. Developing glia play a central role in sphingolipid metabolism Our findings and recent work on the dihydroceramide desaturase 117 support a model where glia play a central role in sphingolipid biosynthesis. In this vein, primary chick oligodendrocytes have 4-fold higher SM synthase activity than primary neurons, and a correspondingly 4-fold higher SM/Ceramide ratio 118 . Similarly, iPSC-derived astrocytes and microglia have higher rates of de novo sphingolipid biosynthesis than motor neurons, and only glia responded transcriptionally when ceramide synthesis was blocked 119 . Interestingly, these transcriptional changes included prominent alterations in axon guidance pathways in astrocytes, perhaps reflecting the fact that glia can grow processes alongside pathfinding axons in the developing brain 120 . Whether these gene expression changes relate to our observed glial morphological defects would be interesting to explore in future work, and broadly support the notion that the substantial role of glia in regulating both sphingolipid biosynthesis and catabolism is evolutionarily ancient. Our results with cell-type specific lace manipulations also point to robust compensatory networks between neurons and glia that can rescue the loss of biosynthetic capacity in one cell type. In particular, we observed reciprocal changes in d14 and d16 sphingoid bases following the depletion of lace in only glia. Intriguingly, clones of lace cells induced in developing epithelia were rescued from endocytic trafficking defects when surrounded by neighboring wild-type cells 121 , and large, but not small, SPT neural clones caused wiring phenotypes 56 , pointing to nonautonomous rescue by the transfer of lipids or enzymes. Moreover, astrocytes can compete for phospholipids when growing into the adult brain 122 , where bulk lipid transfer permits early developmental phagocytosis of neuronal debris 123 . Although extracellular vesicles and lipoproteins represent possible cellular mechanism for transporting lipids from one cell to another 70 , 124 , here we show that glial phagocytosis of neuronal membranes endows glia with a mechanism to bypass loss of de novo biosynthesis. Thus, when sphingolipids begin to decline in lace depleted glia, increased production (and/or consumption) of neuronal membranes can generate sufficient d14 CPE to sustain glial morphogenesis and autophagy. What molecular mechanism underlies this compensatory interaction? One possibility is that the ORMDL family of SPT negative regulators that are acutely sensitive to Ceramide levels could sense and respond to the loss of sphingolipids in one cell-type 125 – 127 . As excess sphingolipid production in oligodendrocytes caused by ORMDL inactivation drives myelination defects, balanced sphingolipid production is critical for glial membrane lipid composition and function 128 . Similarly, neurons can compensate for the loss of Sphingosine-1-phosphate Lyase by increasing catabolism while decreasing biosynthesis 129 . Thus, a tightly controlled developmental bolus of sphingolipids is essential for brain development, and the brain can robustly correct cell-type deficits in lipid production by intracellular and intercellular means. Conserved functions for long-chain CPE/SM in glial membrane morphogenesis Sphingolipids are induced during PNS myelination during the early postnatal period 114 , and CNS myelination encompasses a dynamic shift towards long-chain C24 sphingolipids in oligodendrocytes 87 . Similarly, cultured astrocytes, microglia, and oligodendrocytes contain more SM than neurons 34 , with weighted sphingolipid chain lengths varying by cell type 34 . Indeed, oligodendrocytes are replete with both sphingomyelin and Galactosylceramide 49 . In vertebrates, C22 and C24 long-chain sphingolipids are generated by Ceramide Synthase 2 coupled to specific elongases 130 , 131 , and Cers2 -deficient mice have myelination phenotypes 52 . As Drosophila only harbor a single ceramide synthase 132 , the molecular mechanism that permits the shift to long-chain sphingolipids in the developing fly brain remains unclear. Although fly brains contain myelin-like wrappings 133 , they lack canonical myelin compaction proteins and the major myelin lipid GalCer. However, GalCer shares some similar biochemical properties with CPE, including high phase transition temperatures and the formation of tubules in vitro that are sensitive to chain length 134 – 136 . Intriguingly, CPE is required for peripheral glial wrapping 60 , adult cortex glia morphogenesis 59 , and neuropil glial ramification (this work). Moreover, the requirement for CPE in neuropil glia autophagy can be rescued by heterologous production of sphingomyelin using glial-specific expression of human sphingomyelin synthases (Fig. S5B). Thus, the highly ramified and thin glial membranes in both flies and vertebrates may require functionally comparable lipid species. How might long-chain CPE/SM support dynamic membrane rearrangements to drive glial infiltration? SM accounts for ∼45% of exoplasmic lipids quantified in red blood cells, while inner leaflets only contained ∼2% SM 137 . This asymmetry likely exists for glial CPE, as the Cpes active site that catalyzes the CDP-alcohol phosphotransferase reaction faces the lumen of the Golgi 86 . Thus, SM and CPE may broadly support plasma membrane morphology and rearrangements at the exoplasmic leaflet, perhaps by sculpting lipid and protein microdomains 138 , 139 and/or by regulating accessible cholesterol 140 . It is notable that 35% of the detected adult fly brain sphingolipidome was 14:1/22:0 CPE, which features an 8 carbon asymmetry that could enable lipid tail interdigitation and trans-bilayer coupling across the plasma membrane 141 . This long-chain sphingolipid may be particularly important for the specialized thin membranes required to fully infiltrate developing synapses. Our observations of sphingolipids as regulators of glial infiltration into the brain have intriguing parallels in other cell types. For example, in C. elegans , the anchor cell invades a specific epithelial layer during vulval morphogenesis, an invasive process that is sphingomyelin-dependent; in fly larval sensory neurons, developmental ramification requires long-chain CPE 142 ; and in the vertebrate immune system, macrophage engulfment of client particles also requires long-chain sphingomyelins 143 . Taken together with our findings that CPE production is required for glial infiltration into the synaptic neuropil, long-chain CPE/SM sphingolipids may play an evolutionarily ancient role in regulating plasma membrane rearrangements across many cell types. Author Contributions Conceptualization: EKT, TRC, JPV Methodology: EKT, IMRS, RJL, TTN, GK, TRJ, MTC, TRC, JPV Investigation: EKT, IMRS, RJL, GK, TRJ, JPV Visualization: EKT, RJL, TRC, JPV Funding acquisition: VM, MTC, TRC, JPV Project administration: VM, MTC, TRC, JPV Supervision: MTC, TRC, JPV Writing – original draft: EKT, TRC, JPV Writing – review & editing: EKT, TRC, JPV Declaration of interests The authors declare no competing interests. Resource Availability Lead contact Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, John Vaughen ( john.vaughen{at}ucsf.edu ) Materials availability Flies and plasmids are available from the lead contact, and flies will be deposited at the Bloomington Drosophila Stock Center (BDSC). Data and code availability Sphingolipid lipidomics are deposited as Supplemental Table 3. All FIJI and R scripts are available upon request. All data and information required to analyze the data in this paper are available from the lead contact upon request. Inventory of Supplemental Information Figures S1-S7 (7 figures) Table S1, detailed genotypes Table S2, sequences of PlyA2 and PlyA2-W96A plasmids Table S3, lipidomics Materials and Methods STAR Methods KEY RESOURCES TABLE View this table: View inline View popup Drosophila Maintenance Flies were maintained on standard molasses and cornmeal food (R food, LabExpress). Experiments were maintained in light/dark (LD) incubators for 12:12 light:dark cycles at 25°C with 50%-70% relative humidity. RNAi experiments for the genetic interaction with repo>lace-RNAi were conducted at 29°C, all other experiments were conducted at 25°C. Molecular Genetics We use FlyBase to find information on stocks, phenotypes, and sequences 147 , 148 . The PlyA2 sequence MAYAQWVIIIIHNVGSKDVKIVNLKPSWGKLHADGDKDTEVSASKYEGTVIKPDEKLQINACGRS DAAEGTTGTFDLVDPADGDKQVRHFYWDCP W GSKANTWTVSGSNTKWMIEYSGQNLDSGAL GTITVDTLKKGN was directly fused to mScarlet3 at the c-terminus, and cloned into pJFRC7-20XUAS vector (addgene #26220) using codon optimization for Drosophila melanogaster by Twist Bioscience. Plasmids were injected by Bestgene Inc and integrated into attp40 (2 nd chromosome) or attp2 (3 rd chromosome) by phiC31 integrase mediated recombination. Brain Explant Imaging (LysoTracker and PlyA2) Flies in batches of 5 were dissected under cold 1X dissection saline (103mM NaCl, 3mM KCL, 5mM TES, 1mM NaH 2 PO 4 , 4mM MgCl) and placed in Terasaki plates containing 1X dissection saline before individual transfer to 12µL of freshly diluted LysoTracker solution (1:500 dilution from stock LysoTracker solutions, 2µM, Thermofisher) for 2 minutes before immediate transfer to 100µL of saline on a microscope slide. Brains were pressed to the bottom of the saline bubble and oriented with dorsal side up (apposed to the coverslip). Brains were imaged on a Leica SP8 confocal using a 40X Lens (N.A. 1.30) at 3X digital zoom. Z-stacks of 5 slices through the cortical region were acquired from optic lobes. Batches of 5 brains (interleaving control and experimental brains) were transferred to individual wells of Saline, LysoTracker, and individual slides in parallel. For imaging myrTdT and GFP membranes and PlyA2 sensors, a similar live preparation (omitting Lysotracker) was followed. PlyA2 was imaged on a Zeiss LSM900 with Plan-APOCHROMAT 40X (1.3 NA) Oil lens with 0-6x digital zoom, or a LSM980 63X lens with 0-4x digital zoom with airyscan. IHC Dissections and Staining As with LysoTracker, flies were anesthetized on ice and immobilized in dissection collars. The proboscis was removed under cold dissection saline and then freshly diluted 4% paraformaldehyde (PFA) was added to the dissection collar (32% EM grade PFA (EMS)). Brains were fixed for 25 minutes; after 5 minutes of immersion in 4% PFA, the remaining head cuticle and surrounding fat was gently removed. Post-fixation, brains were washed three times in 1X PBS before completing the dissection in collars and removing brains into Terasaki wells with 0.5%PBSTx (TritonX-100 0.5% in 1X PBS). Brains were permeabilized for 30 mins then transferred to blocking solution (10%NGS in 0.5%PBSTx) for 40 minutes before adding primary antibodies in 0.5%PBSTx+10%NGS (1:10 CSP, 1:200 anti-FK2 polyubiquitin, 1:500 anti-p62 (Abcam ab178440), 1:10 bruchpilot (nc82, DSHB), 1:10 Glutamine Synthase 2 (GLUL, DSHB), 1:10 Rab7 (DSHB), 1:10 synapsin (3C11, DSHB), pShark (1:100), and 1:10 draper (8A1, DSHB) for 24-48 hours at 4°C. Brains were then washed three times in 0.5%PBSTx before transfer to appropriate secondaries (1:500, Thermo Fisher Scientific) for 2-4 hours. Brains were washed three times in 0.5%PBSTx before placing in 70% glycerol for clearing, then mounted and imaged in Vectashield. Images were collected using a Leica SP8 confocal microscope equipped with a 40X lens (N.A. 1.30) at 3X digital zoom. For AVLP p62 staining, images were collected on a Zeiss LSM900 with Plan-APOCHROMAT 40x/1.3 NA Oil lens with 2X digital zoom, with Z-stacks of 15 slices through the AVLP acquired to quantify aggregates. The following antibodies were obtained from the Developmental Studies Hybridoma Bank, created by the NICHD of the NIH and maintained at The University of Iowa, Department of Biology, Iowa City, IA brp (nc82) developed by E. Bruchner 149 ; draper 8A1 developed by M. Logan 150 ; Rab7 developed by S. Munro 151 ; SYNORF (Synapsin) developed by E. Bruchner 152 ; and GLUL (developed by CDI labs) 153 . Image analysis Confocal files were imported into FIJI and analyzed with custom macros for particles for ubiquitin, lysotracker, or p62, or macros for colocalization, as previously reported 65 . For analysis of Gs2+ astrocyte branching, max-intensity projections of SPARC clones from the mushroom body calyx (collected at 3x digital zoom on 40x lens with 0.29 μm z-step resolution) were analyzed by sholl analysis (from ROI defined around the soma; start radius 4 μm, step size 2 μm, end radius 40 μm). The FIJI 3D Manager was used to calculate surface area from these clones. Particle analysis scripts were modified to analyze glial segments from cross-sections of the mushroom body calyx. Metrics were exported to excel and analyzed by ANOVA corrected via Tukey’s test for multiple comparisons in Prism GraphPad. Lipidomics 15 brains per condition (genotype/timepoint) were dissected in quadruplicate (4 separate tubes). Dissections were in 1X dissection saline (see “IHC dissections” above). Newly eclosed flies were anesthetized on ice; all non-brain tissue (fat/hemocytes, larger trachea) was removed, as well as the retina (entirely). Single dissected brains were immediately transferred to Eppendorf tubes containing 20µl saline on ice; after 15 brains were added (10-15mins), 180µl of methanol was added (90% methanol v/v) and brains were snap-frozen on dry ice and stored at −80°C until further analysis. Brains were analyzed for sphingolipids and phospholipids as previously reported using a LC triple quadrupole MS 65 . Ng/Brain and % relative class brain data were analyzed, FDR corrected for multiple comparisons, and plotted in R studio. ELISA Flies of the indicated genotypes were collected at 3 days post-eclosion, frozen on dry ice and stored at −80°C. Heads were dissociated from flies by vortexing and 2 heads were combined in each sample. Samples were homogenized and an ELISA assay performed against GFP as previously described 89 . Optical density values for each sample were normalized to the control sample average. Male and female flies were normalized separately within each sex due to baseline differences in Brp levels in females and males. Samples were run across 3 independent experiments. Supplemental Figures and Figure Legends Download figure Open in new tab Figure S1, related to Figure 1. (A) PCA analysis of sphingolipids from control brains dissected during development and 48h APF (magenta) and adult ages. (B) Total phospholipids and sphingolipids measured at 48h APF and multiple adult ages, quantified in ng/brain. (C) Developmentally modulated sphingolipid levels in ng/brain at 48h APF and adult ages. (D) PCA analysis at 48h APF of male (magenta) and mixed sex (green) brains. (E) Developing brain total sphingolipids and phospholipids (ng/brain). (F) Volcano plots between the 4 developmental timepoints (48h APF versus 24h APF; 72h APF versus 48h APF; and day 1 versus 72h APF). Lipidomics in E-F represent 8 tubes of 15 brains per each timepoint, lipidomics in A-D are 8 tubes of 15 brains per timepoint for day 3 and day 10, and 4 tubes of 15 brains per timepoint for all other ages. Data are represented as mean ± SEM. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Download figure Open in new tab Figure S2, related to Figure 2. (A) Simplified diagram of enzymes in sphingolipid biosynthetic and salvage (catabolic) pathways. scRNAseq data replotted from 74 , 88 neural cluster average is shown in blue, and glial cluster average depicted in orange, from 24h to 96h APF. Data are mean ± SEM. (B) CRIMIC-GAL4 driven nls-mCherry using Gba1b-GAL4 , aSMase-GAL4, or lace-GAL4 (magenta), co-stained with the glial marker repo (green). Gba1b- expressing cells were 97% repo+, aSMase- expressing cells were 91% repo+, and lace- expressing cells were 8% repo+ (n = 5 brains each genotype). Scale bar = 20µm. (C) PCA analysis of CPE, Cer, and GlcCer at 48h APF and day 1 for biosynthetic manipulations targeting lace by glial ( repo-GAL4 , blue), neural ( nSyb-GAL4 , light red), or combined neural and glial drivers ( nSyb-GAL4, repo-GAL4, light purple) versus controls ( +/lace-RNAi , light green). (C’). PCA analysis of CPE, Cer, and GlcCer at 48h APF and day 1 for catabolic manipulations ( gba1b Δ , red) and aSMase knockdown in glia ( repo-GAL4 > SMase KD , orange), versus controls (green). (D-D’) Z-scores of major developmentally regulated sphingolipids across time in biosynthetic (D) and catabolic (D’) manipulations reveals that the global patterns of developmental changes in sphingolipids is relatively robust across genotypes. n= 8 tubes of 15 brains per each timepoint for C-D. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Download figure Open in new tab Figure S3, related to Figure 3. (A-A’) Confocal images of lysotracker staining (white), with maximum intensity projections of optic lobes from neural ( nSyb-GAL4 ) or glial ( repo-GAL4 ) knockdowns of sphingolipid catabolic enzymes. A’, quantification of lysotracker area. Scale bar = 25µm. (B’) Timecourse of lysotracker from central brains in gba1b Δ and control brains across pupal development, quantified in B’ (green = control, magenta = gba1b Δ ). Scale bar = 20µm. Data are represented as mean ± SEM. n > 10 brains all experiments. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Download figure Open in new tab Figure S4, related to Figure 4. (A) Schematic of fly brain neurons and glia, with Gs2+ glia encompassing neuropil types composed of ensheathing (orange) and astrocyte-like (red) glia 85 . (A)’ Gs2 expression in scRNAseq datasets from 74 , with glia (orange) exclusively expressing Gs2, with expression increasing from 48h APF. (B) Gs2 enhancer trap ( GMR94A01 - GAL4 ) expressing UAS-CD8::GFP (green), stained with the neuropil marker nc82 (light blue) and Gs2 (magenta) in day 1 brains. Gs2+ GFP-labeled membranes are decorated by Gs2; note the absence of cortex and barrier signal. Scale bar = 100µm. n = 5 brains. (C) Day 1 adult brains labelingr Gs2+ cells with GMR94A01-GAL4 >UAS-nls-STINGER (green) and astrocyte-like glia (ALG) labeled with GMR86E01-LexA > LexAop-nls-TdTom (magenta) in central brain (scale bar = 100µm), AVLP (scale bar = 20µm), and optic lobe (scale bar = 50µm). Neuropil is stained with nc82 (light blue). n = 3 brains. Download figure Open in new tab Figure S5, related to Figure 5. (A) Removing schlank (Ceramide Synthase) in Gs2 glia with two independent drivers ( GMR94A01-GAL4 or GMR93H09-GAL4 ) caused autonomous p62 accumulation (green) in GFP-labeled Gs2 membranes (light blue). Scale bar = 100 µm. (B) Expressing hSMS1::v5 or hSMS2::v5 in Gs2+ glia with GMR94A01-GAL4 in cpes nulls rescued p62 (green). V5 (blue) was expressed in a pattern consistent with the predicted subcellular compartment of these enzymes (golgi for SMS1, which appears punctate; plasma membrane for SMS2). Magenta shows nc82 neuropil in the AVLP. Scale bar = 20 µm. (C) Glial or neuronal GAL4 drivers re-expressing UAS-Cpes in attempted rescue of the cpes null mutant accumulation of p62 (green) in Gs2+ glia (light blue) in the AVLP. ALG = astrocyte-like glia ( GMR86E01-GAL4 ); EG = ensheathing glia (GMR56F03-GAL4 ); neural1 = elav-GAL4 ; neural2 = nSyb-GAL4 ; CG1 = cortex glia ( cortex-split-GAL4 ); CG2 = cortex glia ( GMR54H02-GAL4 ); Gs2 = 94A01-GAL4 . Notably, Gs2 drivers fully rescued the p62 phenotype, while cortex glia drivers either fully rescued ( ctx-split ) or partially rescued ( GMR54H02 ) p62 levels. Compensatory interactions between cortex glia and neuropil glia have been observed recently 154 . Scale bar = 20 µm. (D) Staining for p62 (green) in Gs2+ glia (light blue) by glial driver combinations crossed to schlank-RNAi , including Gs2-GAL4 or repo-GAL4 with GAL80 produced in cortex glia ( ctx G 80 ) to exclude leaky GAL4 expression in cortex glia. Outside of Gs2-GAL4 or repo-GAL4 , only the combined ensheathing glia + cortex glia knockdown (EG+CG > schlank KD using GMR56F03-GAL4; GMR54H02-GAL4 ) caused a partial p62 phenotype. Scale bar = 20 µm. (E) Quantification of p62 aggregates in AVLP from genotypes in A-D. Data are represented as mean ± SEM. n > 10 brains per condition. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Download figure Open in new tab Figure S6, related to Figure 6. (A) Gs2 (green) and neuronal membranes (magenta) in the AVLP stained with ubiquitin (blue) in Gs2-glial knockdowns of cpes (scale bar = 20 µm), with zooms into neuropil (scale bar = 10 µm), and soma (scale bar = 5 µm). White arrows mark ubiquitin-, neuronal+ inclusions in glial membranes. Yellow arrows indicate ubiquitin+, weakly neuronal+ inclusions. (B) Lysotracker staining of Gs2 glial membranes in AVLP in controls and schlank knockdowns, with smaller lysotracker signals evident in Gs2 soma (arrows). Scale bar = 20 µm. (C) Removing draper worsens ubiquitin accumulation in brains with lace removed in both neurons and glia using nSyb-GAL4, repo-GAL4 . Scale bar = 20 µm. (D-D’) Draper (light blue) accumulates in day 1 AVLP brains from genotypes that blockade CPE biosynthesis. Note that draper is lost from these structures by day 10 in cpes nulls. D’, quantification of draper accumulation. Scale bar = 20 µm. (E-E’) pShark staining in AVLP correlates with draper and p62 in genotypes with a blockade in CPE biosynthesis. E’, quantification. Scale bar = 20 µm. Data are represented as mean ± SEM. n > 7 brains per condition. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Download figure Open in new tab Figure S7, related to Figure 7. (A) Non-sparsely labeled Gs2 glial membranes (green) in control and cpes-RNAi mushroom body calyx (MB-CA). Syn = synapsin, neuropil marker in magenta. Aberrant thicker branches are observed in cpes knockdowns with Gs2-GAL4 . Scale bars = 10 µm. (B) Example Sholl analysis of sparsely labeled glial clones from Figure 7 . Scale bar = 10 µm. Numbers in top right indicate number of intersections, a proxy for branching. (C-C’) Mushroom body calyx stained for brp (nc82, magenta) or synapsin (green) from controls or glia depleted of cpes . Brains were pooled and stained in the same primary and secondary well, then decoded for the presence of cpes-RNAi by p62 aggregates. Brp/nc82 levels were reduced, unlike synapsin. Scale bar = 10 µm. (D) Lipidomics of controls ( +/cpes KD , green) versus cpes knockdown in Gs2+ glia (blue) from day 1 brains. CPE 14:1/22:0 and CPE 14:1/24:0 are decreased, despite the genetic manipulation only targetting only ∼3.5% of the brain. (E) Rescue of p62 (green) in schlank/CerS knockdown AVLPs in Gs2 glia (light blue) by heterologous expression of human hCerS2 or hCerS6. CerS2 generates C22-C24 VLCFA sphingolipids, while CerS6 generates C14-C16 sphingolipids. Scale bar = 20 µm. (E’) Quantification of p62 area. (F) Localization of hCerS transgenes (magneta) by anti-HA staining when expressed in Gs2 glia (light blue). Scale bar = 20 µm. Data are represented as mean ± SEM. n > 10 brains per genotype for A-C and E-F, and 4 tubes of 15 brains each for D. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001 Acknowledgments Research done at Stanford is conducted on Muwekma Ohlone land, and research done at UCSF is conducted on Ramaytush Ohlone land. We thank members of the Clandinin and Vaughen labs for discussions of the manuscript, and Estela Stevenson for excellent technical assistance provided to the Clandinin lab. We thank Tobi Stork and Jaeda Coutinho-Budd for discussion and sharing flies; Jairaj Acharya for discussing CPE; Richard Stanley for the p-Shark antibody; and Rushika Perera, Andrew Yang, and Leanne Jones for access to confocal microscopes. Funding includes the Sandler PBBR program (JPV), the Simons Foundation (TRC), NIH NINDS R21 NS12458 (TRC), NINDS K99 NS133298 (TRJ), and the Stanford Interdisciplinary Graduate Fellowship (EKT). GK is supported by the intramural division of the NCI, NIH, HHS. We gratefully acknowledge the Bloomington Drosophila Stock Center (NIH P40OD018537), the Harvard TRiP Center (R24 OD030002) 144 , and the Stanford Vision Core (P30EY026877). 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