Skip to main content
PLOS Genetics logoLink to PLOS Genetics
. 2021 Jun 18;17(6):e1009603. doi: 10.1371/journal.pgen.1009603

Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2C syndrome and identifies multiple pathobiological signatures

Lore Pottie 1,2, Wouter Van Gool 1,2, Michiel Vanhooydonck 1,2, Franz-Georg Hanisch 3, Geert Goeminne 4,5, Andreja Rajkovic 6, Paul Coucke 1,2, Patrick Sips 1,2,#, Bert Callewaert 1,2,*,#
Editor: Zsolt Urban7
PMCID: PMC8244898  PMID: 34143769

Abstract

The inability to maintain a strictly regulated endo(lyso)somal acidic pH through the proton-pumping action of the vacuolar-ATPases (v-ATPases) has been associated with various human diseases including heritable connective tissue disorders. Autosomal recessive (AR) cutis laxa (CL) type 2C syndrome is associated with genetic defects in the ATP6V1E1 gene and is characterized by skin wrinkles or loose redundant skin folds with pleiotropic systemic manifestations. The underlying pathological mechanisms leading to the clinical presentations remain largely unknown. Here, we show that loss of atp6v1e1b in zebrafish leads to early mortality, associated with craniofacial dysmorphisms, vascular anomalies, cardiac dysfunction, N-glycosylation defects, hypotonia, and epidermal structural defects. These features are reminiscent of the phenotypic manifestations in ARCL type 2C patients. Our data demonstrates that loss of atp6v1e1b alters endo(lyso)somal protein levels, and interferes with non-canonical v-ATPase pathways in vivo. In order to gain further insights into the processes affected by loss of atp6v1e1b, we performed an untargeted analysis of the transcriptome, metabolome, and lipidome in early atp6v1e1b-deficient larvae. We report multiple affected pathways including but not limited to oxidative phosphorylation, sphingolipid, fatty acid, and energy metabolism together with profound defects on mitochondrial respiration. Taken together, our results identify complex pathobiological effects due to loss of atp6v1e1b in vivo.

Author summary

Cutis laxa syndromes are pleiotropic disorders of the connective tissue, characterized by skin redundancy and variable systemic manifestations. Cutis laxa syndromes are caused by pathogenic variants in genes encoding structural and regulatory components of the extracellular matrix or in genes encoding components of cellular trafficking, metabolism, and mitochondrial function. Pathogenic variants in genes coding for vacuolar-ATPases, a multisubunit complex responsible for the acidification of multiple intracellular vesicles, cause type 2 cutis laxa syndromes, a group of cutis laxa subtypes further characterized by neurological, skeletal, and rarely cardiopulmonary manifestations. To investigate the pathomechanisms of vacuolar-ATPase dysfunction, we generated zebrafish models that lack a crucial subunit of the vacuolar-ATPases. The mutant zebrafish models show morphological and functional features reminiscent of the phenotypic manifestations in cutis laxa patients carrying pathogenic variants in ATP6V1E1. In-depth analysis at multiple -omic levels identified biological signatures that indicate impairment of signaling pathways, lipid metabolism, and mitochondrial respiration. We anticipate that these data will contribute to a better understanding of the pathogenesis of cutis laxa syndromes and other disorders involving defective v-ATPase function, which may eventually improve patient treatment and management.

Introduction

The intraluminal pH of specific subcellular compartments is maintained by the proton-pumping action of the vacuolar-ATPases (v-ATPases), thereby regulating a range of molecular processes including activation of enzyme activity, protein folding, vesicle trafficking, and support of organelle function and integrity. V-ATPases consist of ubiquitously expressed multisubunit complexes, composed of a membrane-associated V0 domain and a cytosolic (catalytic) V1 domain. Hydrolysis of ATP by the complex generates proton pumping activity against a concentration gradient in the lumen of endo(lyso)somes, secretory vesicles, Golgi apparatus and across the plasma membrane into the extracellular space surrounding specialized cells including osteoclasts, epididymal clear cells and renal epithelial intercalating cells [1].

Various human diseases are linked to defects in genes encoding subunits of the v-ATPase, including connective tissue disorders (e.g. autosomal recessive (AR) cutis laxa (CL) syndrome type 2A (MIM: 219200) (ATP6V0A2 [MIM: 611716]), ARCL type 2C (MIM:617402) (ATP6V1E1 [MIM: 108746]), and ARCL type 2D (MIM:617403) (ATP6V1A [MIM: 607027])) [212]. ARCL type 2A, 2C, and 2D show variable glycosylation abnormalities [10,13,14], hypotonia, delayed neuromotor development, variable intellectual disability, sensorineural hearing loss, skeletal abnormalities, facial dysmorphology, and cardiopulmonary involvement including pneumothorax, hypertrophic cardiomyopathy, and aortic root dilation [10,11,15,16]. The pathological mechanism underlying ARCL type 2A, 2C, and 2D is currently unknown.

Intracellular v-ATPases play a role in the regulation of key physiological cell signaling pathways. V-ATPases are involved in downstream Notch signaling [1720], Wnt signaling [2127], activation of mechanistic target of rapamycin complex 1 (mTORC1), and AMP-activated protein kinase (AMPK) signaling [28]. Using in vitro experiments, it was shown that lysosomal amino acids activate mTORC1 recruitment to the lysosomal membrane due to conformational changes of the Ragulator complex. V-ATPases are tightly associated with this complex and serve as the amino acid sensor by still unknown mechanisms [2931]. mTORC1 signaling induces anabolic events. In contrast, if energy conditions are low, liver kinase B1 will activate AMPK located in the lysosomal membrane [32], inducing catabolic events. In addition, Notch and Wnt signaling rely on acidification of early endosomes through v-ATPases. Prorenin receptor (PRR) acts as an adaptor protein between LRP6 and v-ATPases to promote Wnt-receptor endocytosis, phosphorylation, and subsequent Wnt/β-Catenin signaling activation [3335]. Notch receptor cleavage occurs through secretases at the plasma membrane or in acidified early endosomes. Following translocation to the nucleus, the Notch intracellular domain forms a transcription-activation complex and initiates transcription of downstream target genes [1719]. Finally, recent studies have highlighted a novel mechanism linking v-ATPase inhibition, hypoxia-inducible factor 1 alpha (HIF-1α) signaling and iron deficiency. In vitro, genetic and pharmacological inhibition of v-ATPases impair endo(lyso)somal acidification which leads to defective cellular iron uptake via the transferrin system. Iron depletion results in reduced prolyl hydroxylase activity, leading to stabilization of HIF-1α and activation of HIF-1α-dependent signaling mechanisms [3638]. However, it remains to be seen if these non-canonical functions of v-ATPase deficiency, altered iron homeostasis, and subsequent HIF-1α-mediated responses are also affected in vivo and contribute to the pathogenesis of disorders related to defects in v-ATPase function.

In order to study v-ATPase function in vivo, several mouse studies were established. However, complete loss of the murine proteolipid 16 kDa subunit of the v-ATPase V0 complex (encoded by the Atpv0c gene) led to embryonic lethality, precluding a detailed investigation of the complete loss of v-ATPase function [39]. Since external fertilization and transparent development allow for a detailed characterization of embryonic development in zebrafish, we modelled genetic depletion of atp6v1e1b in zebrafish. Despite early mortality, this model shows phenotypic features mimicking ARCL type 2C with hypotonia, craniofacial abnormalities, vascular anomalies, N-glycosylation abnormalities, and an altered dermal connective tissue structure. As expected, atp6v1e1b-deficiency disrupts (non-)canonical function(s) of v-ATPases. Unbiased analysis of the transcriptome, metabolome, and lipidome furthermore indicates alterations in oxidative phosphorylation, fatty acid metabolism, sphingolipid, and energy metabolism in this in vivo model of v-ATPase deficiency.

Results

Genetic loss of atp6v1e1b in zebrafish leads to early mortality and mimics the human phenotype of ATP6V1E1-related CL syndrome

ATP6V1E1, which codes for a subunit of the v-ATPase that connects the transmembrane domain to the cytosolic domain, has two ohnologs in zebrafish, atp6v1e1a and atp6v1e1b. Whole-mount in situ hybridization (WISH) showed that these ohnologs share similar spatial and temporal expression patterns. WISH indicates localization of atp6v1e1a and atp6v1e1b in the cranial region, pronephros, and heart of the zebrafish embryo at multiple developmental stages (S1A–S1C Fig) [40]. To identify the manifestations of reduced organelle acidification in vivo, we disrupted the function of both ohnologs in zebrafish.

First, we generated a zebrafish line harboring a four base-pair (bp) deletion in exon 2 of atp6v1e1a (atp6v1e1a+/-), c.71delTGAG, which led to nonsense-mediated decay (NMD) due to a premature stop codon (S1D and S1E Fig). Atp6v1e1b expression remained stable in atp6v1e1a-/- zebrafish while atp6v1e1a expression is significantly reduced (S1E Fig). Atp6v1e1a-/- zebrafish are viable, do not show pigmentation defects, and generate a Mendelian distribution of the disrupted allele in their offspring. Atp6v1e1a-/- zebrafish have a normal lifespan and do not develop bone morphological abnormalities (S1F–S1I Fig).

Next, we generated a zebrafish line harboring a two bp insertion followed by a three bp deletion in exon 5 of atp6v1e1b (atp6v1e1bcmg78/+), c.334insGG; c.337-340delCGG, which led to NMD due to a premature stop codon (S2A and S2B Fig). We further obtained a zebrafish line with a large retroviral insertion in the 5’UTR of atp6v1e1b (atp6v1e1bhi577aTg/+) interfering with mRNA transcription (S2A and S2B Fig) [41,42]. Atp6v1e1 protein levels are decreased in both atp6v1e1b-deficient zebrafish while more residual protein is present in atp6v1e1bhi577aTg/hi577aTg (S2C–S2E Fig). We observed a very low level of atp6v1e1 protein in one of the atp6v1e1bcmg78/cmg78 samples. Considering the sequence homology with the human ATP6V1E1 protein fragment which was used as an immunogen to generate the antibody, atp6v1e1a and atp6v1e1b proteins are recognized on immunoblot. Therefore, we conclude that the remaining signal in the atp6v1e1bcmg78/cmg78 sample originates from the atp6v1e1a protein. We recapitulated a pigment dilution phenotype in atp6v1e1b-deficient zebrafish as an early manifestation. Atp6v1e1b-deficient zebrafish were unable to hatch and died at 3–5 days post fertilization (dpf) (S2G Fig). Upon manual removal of the chorion, the mutant zebrafish survived until 8 dpf (S2F Fig) albeit with a severe systemic phenotype.

This prompted us to further investigate the phenotype of the surviving atp6v1e1b-deficient larvae to assess whether dominant features in the clinical presentation of ARCL type 2C are present in mutant zebrafish. To evaluate hypotonia as a possible cause of hatching problems, we quantitatively assessed the touch-evoked escape response at 3 dpf, which was impaired in both atp6v1e1b mutant zebrafish lines (S2H Fig). Alcian blue staining showed maxillary and mandibular hypoplasia in both mutant zebrafish which could correlate to midface hypoplasia and micrognathia in humans suffering from ARCL type 2C (Fig 1A). In addition, reduction in the intensity of Alcian blue staining in both mutant zebrafish suggests changes in the expression of chondroitin sulfate proteoglycans. Atp6v1e1b-deficient zebrafish showed a misshapen and slightly retracted Meckel’s cartilage. Moreover, the length of the Meckel’s cartilage, palatoquadrate and ceratohyal structures was decreased (Fig 1B) and the angle between ceratohyal structures was increased (Fig 1C).

Fig 1. Atp6v1e1b-deficient zebrafish have craniofacial, vascular and cardiac abnormalities reminiscent of the human ATP6V1E1-related CL phenotype.

Fig 1

Representative images are shown. (A) Ventral (top panel) and lateral views (bottom panel) of Alcian blue stained craniofacial structures at 5 dpf reveal misshapen and shorter Meckel’s cartilage (m), shorter palatoquadrate (pq) and shorter ceratohyal (ch) structure and a higher angle between ch structures in atp6v1e1b-deficient zebrafish. Pericardial edema is indicated by an arrow. (B) The length of the individual cartilage structures was measured and normalized to the head length of the larvae. (C) Quantification of the angle between the ceratohyal structures. (D) Ratio of the aortic diameter proximal to the bulbus arteriosus (BA) to the average aortic diameter between the first (AA3) and the second branchial arch (AA4) as a measure of local dilatation. (E) Ventral (top panel) and lateral views (bottom panel) of the cardiovascular structure of atp6v1e1b-deficient zebrafish in the Tg(kdrl:eGFP) background at 5 dpf. (F) Cardiac parameter analysis based on brightfield microscopy recordings at 3 dpf. (G) Pseudo-colored processed images representing relative blood flow intensity in the trunk of 3 dpf zebrafish. Major blood vessel ROI used for quantification is marked with a green outline. Data are expressed as mean ± standard deviation (SD). AA1: mandibular arch; AA3: first branchial arch; AA4: second branchial arch; AA5: third branchial arch; AA6: fourth branchial arch; Ao: aorta; BA: bulbus arteriosus; cb1-4: ceratobranchial pairs 1 to 4; ch: ceratohyal; CO: cardiac output; dlav: dorsal longitudinal anastomotic vessel; et: ethmoid plate; h: hyosymplectic; HR: heart rate; isv: intersegmental vessel; m: Meckel’s cartilage; ORA: opercular artery; pcv: posterior caudal vein; pq, palatoquadrate; SV: stroke volume; VA: ventral aorta. Scale bar = 200 μm (A), scale bar = 100 μm (E and G).

Next, we assessed the cardiac function and vascular patterning in the atp6v1e1b-deficient zebrafish at the embryonic stage, using the endothelial Tg(kdrl:eGFP) reporter line. Vascular anomalies were present in both zebrafish lines at 5 dpf (Fig 1E). We discovered a structural malformation of the aortic arches, the opercular artery and the ventral aorta which were smaller and more constricted with less vascular loops in atp6v1e1b-deficient zebrafish. The ventral aorta segment proximal to the bulbus arteriosus was significantly dilated in atp6v1e1b-deficient zebrafish (Fig 1D). Furthermore, atp6v1e1b-deficient zebrafish showed a significantly decreased stroke volume and cardiac output at 3 dpf, indicative of cardiomyopathy (Fig 1F). Posterior blood flow was significantly decreased in atp6v1e1bhi577aTg/hi577aTg but not in atp6v1e1bcmg78/cmg78 (Fig 1F and 1G). Starting from 5 dpf, mutant zebrafish developed severe pericardial edema (Fig 1A), indicating severe cardiovascular dysfunction.

Transmission electron microscopy (TEM) analysis of the dermis from WT controls and atp6v1e1b-deficient zebrafish showed manifest defects around the epidermal basement membrane. First, atp6v1e1bhi577aTg/hi577aTg samples showed zones of epidermal detachment, larger primary dermal stroma, and a severely disorganized structure of collagenous fibrils (Fig 2A). No alteration in basement membrane length was observed. Second, atp6v1e1bcmg78/cmg78 samples showed folded basement membrane, indicating skin redundancy (Fig 2A). RT-qPCR analysis confirmed collagen and elastin alterations in both mutant zebrafish lines at 4 dpf. Col1a1a and col1a2 (Fig 2B–2E) were significantly reduced in atp6v1e1b-deficient zebrafish while col1a1b (Fig 2C) expression levels remained stable. In addition, downregulation of elnb expression (Fig 2A) occurred in both mutant zebrafish lines.

Fig 2. Profound epidermal and N-glycosylation alterations in atp6v1e1b-deficient zebrafish.

Fig 2

(A) Representative images of ultrathin sections taken from the dermis of atp6v1e1b-deficient zebrafish and WT controls at 4 dpf. Note the two-layered epidermis that is separated from the collagenous stroma of the dermis by a well-defined basement membrane (bm), indicated as dotted line, at this developmental timepoint. In atp6v1e1b-deficient larvae, we observed a larger and more disorganized collagenous stroma of the dermis (atp6v1e1bhi577aTg/hi577aTg) or folded bm (atp6v1e1bcmg78/cmg78). Reproducible results were obtained in three independent experiments. Scale bar = 1 μm (top panel), scale bar = 200 nm (bottom panel). Bm: basement membrane; col: collagenous fibrils; ep: epidermis; m: muscle cell surface; mit: mitochondria; n: nucleus; stroma: primary dermal stroma; rer: rough endoplasmic reticulum. (B-E) Quantification of elnb, col1a1a, col1a1b, col1a2 by RT-qPCR of atp6v1e1b-deficient larvae at 4 dpf compared to WT controls. Data are expressed as mean ± SD from 5 biological replicates. (F) Representative images demonstrating dilated Golgi apparatus in atp6v1e1bcmg78/cmg78. Reproducible results were obtained in three independent experiments. Scale bar = 200 nm (G) Quantification of relative abundancies of MALDI-TOF-MS signals for oligomannose N-glycan species detected in deyolked lysates in atp6v1e1b-deficient zebrafish compared to WT controls. (H) Quantification of relative abundancies of MALDI-TOF-MS signals for complex N-glycan species detected in deyolked lysates in atp6v1e1b-deficient zebrafish compared to WT controls. Data are expressed as mean ± SD from 3 biological replicates. 2-way ANOVA with Tukey test for multiple comparison was used for statistical analysis. Yellow shading indicates differences between WT controls and atp6v1e1b-deficient larvae. Symbols represent monosaccharide residues. Graphical representation is based on the accepted convention from the Symbol Nomenclature for Glycans (Consortium for Functional Glycomics). Yellow circle: Gal; green circle: Man; red triangle: Neu5Ac; light blue diamond: Neu5Gc; Neu5Ac: N-acetylneuraminic acid; Neu5Gc: N-glycolylneuraminic acid.

Humans with ATP6V1E1 pathogenic variants show abnormal glycosylation profiles and dilated Golgi apparati. We investigated the relative abundances of N-glycan sugar chains in proteins extracted from whole body lysates and assessed Golgi morphology by TEM analysis on samples of atp6v1e1b-deficient zebrafish at 3 dpf [10]. We confirmed that the N-glycome profiles in whole body zebrafish larval lysates were dominated by oligo-mannose glycans (M5 –M9) and had minor abundancies of complex glycans [4345]. Complex glycans were exclusively composed of bi-antennary glycans without core fucosylation and antennary structures were of a uniform type characterized by mono- or disialylated Gal1-3Gal1-4(Fuc1-3)GlcNAc units according to MALDI-MS/MS. There was a significant increase in abundancy of oligo-mannose N-glycans, more specifically containing 9 mannose residues in atp6v1e1b-deficient larvae compared to wild-type (WT) controls (Fig 2F). We also observed the presence of different complex N-glycans in atp6v1e1bcmg78/cmg78 larvae which were absent in WT controls and in atp6v1e1bhi577aTg/hi577aTg larvae (Fig 2G). Atp6v1e1bcmg78/cmg78 contained preferentially Neu5Gc, while atp6v1e1bhi577aTg/hi577aTg exclusively had Neu5Ac as sialic acid species. Upon TEM analysis, we observed a lower number of Golgi apparatus in atp6v1e1b-deficient zebrafish compared to WT controls that may be due to a high degree of Golgi apparatus fragmentation in atp6v1e1b-deficient zebrafish. The remaining Golgi apparatus in atp6v1e1bhi577aTg/hi577aTg are normal, but show a dilated phenotype in atp6v1e1bcmg78/cmg78.

Loss of atp6v1e1b in zebrafish alters mTOR and Wnt signaling pathways in vivo

Atp6v1e1b-deficient zebrafish show increased protein levels of the early endosomal markers early endosome antigen 1 (EEA1) and small rab GTPase 5 (Rab5) compared with WT controls at 4 dpf. The late endosomal marker small rab GTPase 7 (Rab7) and the lysosomal glycoprotein marker, LAMP1, on the other hand tended to show lower protein levels in atp6v1e1b-deficient zebrafish (S3A–S3F Fig). Endosomal and lysosomal organelles have reduced acidification upon atp6v1e1b depletion in zebrafish, as shown by LysoTracker staining in the cranium (S3G Fig). Moreover, confocal images of endo(lyso)somal markers in tissues with highest expression levels show reduced Rab5 expression in the yolk (S4A–S4D Fig) and brain (S4E–S4H Fig) but accumulation of Rab7 in the muscle of the trunk region of atp6v1e1bhi577aTg/hi577aTg. Interestingly, we observed an inverse Rab5:Rab7 ratio with accumulation of Rab5 in the yolk and brain and decreased expression of Rab7 in the muscle of atp6v1e1bcmg78/cmg78. (S4I–S4L Fig). LAMP1 expression in the yolk (S4M–S4P Fig) and the brain (S4Q–S4T Fig) are normal between atp6v1e1b-deficient zebrafish compared to WT controls. Taken together, these observations indicate that loss of atp6v1e1b in zebrafish alters normal processing of endo(lyso)somal vesicles most likely due to abnormal acidification.

We investigated the impact of atp6v1e1b deficiency on the non-canonical signaling pathways regulated by v-ATPase. The ribosomal protein S6 kinases (S6Ks) are well-established effectors of mTORC1 signaling [32,4648]. We assessed the (phosphorylated) protein levels of p70-S6K1, p85-S6K1, and p31-S6K1 in atp6v1e1b-deficient zebrafish and WT controls at 4 dpf. We observed remarkable up-regulation in total p85-S6K1 protein level in both atp6v1e1b-deficient zebrafish. The ratio phosphorylated to non-phosphorylated p85-S6K1 protein level was not significantly changed between atp6v1e1b-deficient zebrafish and WT controls (Fig 3A–3C). A significant increase in total p31-S6K protein level was observed in atp6v1e1bhi577aTg/hi577aTg. The ratio of phosphorylated p31-S6K protein level to p31-S6K protein level was significantly increased in both atp6v1e1b-deficient zebrafish (Fig 3F and 3G). A trend was noted toward decreased levels of total p70-S6K1 protein levels in both atp6v1e1b-deficient zebrafish, which did not reach statistical significance. Due to the large variability of phospho-p70-S6K protein levels within and between WT control lines, the ratio of phospho-p70-S6K/ p70-S6K protein level remained stable between the different conditions (Fig 3D and 3E). As mTORC1 and AMPK signaling are interconnected, we next sought to determine the effect on AMPK-target genes. Gli1, ptch1, and prkaa1 gene expression levels are downregulated indicating reduced AMPK activity (Fig 3N) [49]. In addition, Wnt signaling target genes (axin2, tcf7, and lef1) were significantly reduced in atp6v1e1b-deficient zebrafish at 3 dpf. In contrast, the majority (her4, her6) of the Notch signaling target genes (her4, her6, hey2) remained unaltered compared to WT controls. Previous in vitro work has highlighted that decreased endo(lyso)somal acidification leads to reduced cytosolic bioavailability of iron and subsequent induction of HIF-1α signaling. HIF-1α-target genes (egln3, vegfaa, vegfab, slc2a1a, slc2a1b, pfkfb3, angptl4 and pdk1) were downregulated in atp6v1e1b-deficient zebrafish at 3 dpf (S5A–S5H Fig). Moreover, E3 medium supplemented with Ferric (Fe3+) ammonium citrate (FAC), which bypasses the endo(lyso)somal pathway through iron transporters in the plasma membrane [50], did not ameliorate the survival of atp6v1e1b-deficient zebrafish (S5I Fig). Also, hematopoiesis was not altered in atp6v1e1b-deficient zebrafish, as shown by o-dianisidine staining, providing further evidence of a normal availability of transferrin, hemoglobin and iron (S5J Fig). Taken together, we show that loss of atp6v1e1b in vivo does not stimulate the HIF-1α signaling pathways (in contrast to previous in vitro work) and mildly affects the Notch signaling pathway, but does have an impact on mTORC1, AMPK and Wnt signaling.

Fig 3. Effect of loss of atp6v1e1b on the non-canonical function of v-ATPases.

Fig 3

(A) Phosphorylated ribosomal protein S6 kinase 1 (S6K1) (upper panel) and total S6K1 (lower panel) were detected in protein lysates of whole atp6v1e1b-deficient zebrafish and their corresponding WT controls at 4 dpf by immunoblotting. Asterisks indicate non-related, cross-reactive bands. Representative immunoblots are shown. We confirmed equal loading by staining for α-tubulin. (B-D-F) Band intensities of chemiluminescent signals of non-phosphorylated proteins were quantified with ImageJ and normalized to WT controls. (C-E-G) Band intensities of chemiluminescent signals of phosphorylated proteins were quantified with ImageJ. The ratio of phospho-p85-S6K to total p85-S6K, phospho-p70-S6K to total p70-S6K, and phospho-p31-S6K to total p31-S6K was normalized to WT controls. Data are expressed as mean ± SD from 3 biological replicates in B-G. (H-P) Gene expression of Notch-target genes (her4, her6, and hey2), Wnt-target genes (axin2, tcf7, and lef1), and AMPK-target genes (prkaa1, ptch1, and gli1) were investigated by RT-qPCR. Data are expressed as mean ± SD from 5 biological replicates in H-P.

Complex transcriptomic and metabolomic signature of loss of atp6v1e1b in vivo

We performed an unbiased assessment of the transcriptional and metabolic response to the loss of atp6v1e1b at 3 dpf, before gross morphological phenotypes become apparent, in order to attempt to identify the primary mechanisms underlying the physiological manifestations of v-ATPase dysfunction. Analysis of the transcriptomic data showed 112 significantly upregulated differentially expressed genes (DEGs) and 35 significantly downregulated DEGs in atp6v1e1bhi577aTg/hi577aTg (Fig 4A). In addition, in atp6v1e1bcmg78/cmg78 139 significantly upregulated DEGs and 29 significantly downregulated DEGs were found (Fig 4B). The top 30 most DEGs of atp6v1e1b-deficient zebrafish compared to WT controls are plotted in Fig 4C. We validated the expression levels of 10 genes picked from the top 150 most DEGs (S6A Fig). Generally applicable gene-set enrichment (GAGE) for pathway analysis using the KEGG pathway database identified several altered pathways in atp6v1e1bhi577aTg/hi577aTg and atp6v1e1bcmg78/cmg78 highlighting oxidative phosphorylation, fatty acid elongation, carbon metabolism, and steroid biosynthesis (Fig 4D). Several genes in the top 30 most DEGs are linked to the observed phenotype via GAGE and reactome pathway analysis (S6B and S6C Fig).

Fig 4. Transcriptomic and metabolomic signature of atp6v1e1b deficiency in vivo.

Fig 4

(A) Volcano plot of RNA-sequencing data of atp6v1e1bhi577aTg/hi577aTg. (B) Volcano plot of RNA-sequencing data of atp6v1e1bcmg78/cmg78. The data represents overlapping genes from both ZFIN and Ensembl reference genome mapping (GRCz11). Red spots represent differentially expressed genes (DEGs). The horizontal line denotes the significance threshold (adjusted p<0.05) for DEGs. The vertical line denotes the Log2 fold change (Fc) threshold of 2. (C) Hierarchical clustering of the top 30 most DEGs from whole-body samples of atp6v1e1b-deficient and WT control zebrafish at 3 dpf. DEGs are annotated with gene names of which the protein function is known. DEGs with unknown gene names are listed in S1 Table. Colors range from red (high expression) to blue (low expression). (D) Results of the KEGG pathway analysis showing the most enriched pathways in the differentially expressed gene list of the whole-body samples from the atp6v1e1b-deficient and WT control zebrafish dataset. (E-F) Plots of an integrated analysis based on Metaboanalyst software (pathway tool) for a simplified view of contributing pathways in whole-body samples of atp6v1e1b-deficient zebrafish at 3 dpf. Full analysis based on GSEA parameters and Mummichog parameters are shown in S2 Table. Dark green and brown symbols represent significantly enriched pathways. ND: not determined; NES: normalized enrichment score.

To complement the gene expression studies, we assessed the metabolomic profiles of atp6v1e1b-deficient zebrafish in order to uncover non-genomic changes in enzymatic activity of a range of cellular and metabolic processes. From an untargeted metabolic screen, we evaluated pathway-level enrichments based on significant m/z peaks. Gene Set Enrichment Analysis (GSEA) metabolic pathway activity profiles are plotted in Fig 4E and 4F highlighting positive associations for the lipid metabolism, fatty acid metabolism, glycolysis and gluconeogenesis, and negative associations for the glycosaminoglycans. Though identification of a given peak based on its mass alone is challenging, we found two compounds significantly downregulated that, based on the accurate mass, could correspond to xanthopterin and hydroxymethylpterin. These metabolites are related to pigmentation which is absent in atp6v1e1b-deficient zebrafish. Our transcriptome and metabolome data show that multiple pathways are affected, particularly with prominent alterations in several parts of energy metabolism and oxygen consumption.

Significant upregulation of sphingolipids, phospholipids and dihydroceramide upon atp6v1e1b-deficiency in zebrafish

We found a striking accumulation of electron-dense vesicular bodies in the yolk of the mutant zebrafish (Fig 5A). These organelles were packed with membranous, lamellar lipid-like material. Atp6v1e1bhi577aTg/hi577aTg contained larger membranous whorls than atp6v1e1bcmg78/cmg78, in which multiple smaller membranous lipid whorls appeared in near proximity to each other (Fig 5A). Together with our -omics results, this encouraged us to study 19 different lipid classes using HILIC LC-MS/MS lipidome analysis to determine the consequences of atp6v1e1b-deficiency at 3 dpf. Phosphatidylcholine (PC), and its derivatives 1-alkyl,2- acylphosphatidylcholine (PC-O), 1-alkenyl,2-acylphosphatidylcholine (PC-P), lysophosphatidylcholine (LPC), as well as phosphatidylglycerol (PG), phosphatidylinositol (PI), and sphingomyelin (SM) were significantly increased in atp6v1e1b-deficient zebrafish compared to WT controls (Fig 5B–5H). Ceramides (CER) were not significantly altered in atp6v1e1b-deficient zebrafish compared to the WT controls. In contrast, dihydroceramide (DCER), the precursor of CER via the de novo ceramide synthesis pathway located in the ER, is significantly increased. Hexosylceramide (HexCer) and lactosylceramide (LaxCer) were significantly decreased in atp6v1e1b-deficient zebrafish compared to WT controls (Fig 5I–5L). Levels of phosphatidylethanolamine (PE) and the related 1- alkyl,2-acylphosphatidylethanolamines (PE-O), 1-alkenyl, 2-acylphosphatidylethanolamines (PE-P) and lysophosphatidylethanolamine (LPE) showed a trend to be upregulated in atp6v1e1b-deficient zebrafish compared to WT controls (S7A–S7D Fig). Similarly, fatty acids such as triacylgycerides (TG), diacylglycerides (DG), cholesterol esters (CE), and cholesterol (Chol) showed some increases (S7E and S7F Fig). Inhibiting ceramide synthase, an enzyme that generates DCER in the de novo biosynthesis pathway in the ER, by administering Fumonisin B1 to the E3 medium at 1 dpf did not ameliorate the survival of atp6v1e1b-deficient zebrafish. The same observation was made when the ceramide transport protein (CERT), involved in the non-vesicular transport of ceramide from the ER membranes to Golgi apparatus for further processing to sphingomyelins, was inhibited by HPA-12 (S8A–S8C Fig). Also, nicotinic acid, an inhibitor for the cholesterol esterification was not able to induce beneficial effects. These data suggest that targeting only this pathway is not sufficient to rescue the pleiotropic consequences of atp6v1e1b deficiency in vivo.

Fig 5. Atp6v1e1b depletion leads to higher amounts of sphingolipids and phospholipids in zebrafish larvae.

Fig 5

(A) Representative images of ultrathin sections of the yolk from 4 dpf WT control and atp6v1e1b-deficient zebrafish. Atp6v1e1b-deficient larvae reveal an accumulation of electron-dense vesicular bodies. Higher magnification of the lipid whorls is shown in the top right corner of the corresponding image. Scale bar = 500 nm (low magnification), scale bar = 200 nm (high magnification). Results are representative of three independent experiments. Mit: mitochondria; endo: endosomal derived multilamellar bodies; lip: lipid whorls. (B-L) HILIC LC-MS/MS lipidomic analysis of atp6v1e1b-deficient zebrafish and WT controls at 3 dpf. Data are expressed as mean ± SD from 3 biological replicates. PC: phosphatidylcholine; PC-O: 1-alkyl,2-acylphosphatidylcholine; PC-P: 1- alkenyl,2-acylphosphatidylcholine; LPC: lysophosphatidylcholine; PG: phosphatidylglycerol; PI: phosphatidylinositol; SM: sphingomyelin; CER: ceramides; DCER: dihydroceramides; HexCer: hexosylceramides; LacCer: lactosylceramides.

Defective oxygen consumption in atp6v1e1b-deficient larvae

Upon TEM examination, we observed dilated mitochondria in atp6v1e1bhi577aTg/hi577aTg and atp6v1e1bcmg78/cmg78 zebrafish. In combination with our transcriptome data this observation suggests the existence of potential respiratory chain defects (Fig 6A), which prompted us to investigate the function of atp6v1e1b-deficient mitochondria. Oxygen consumption rate (OCR) measurements in WT controls, atp6v1e1bhi577aTg/hi577aTg and atp6v1e1bcmg78/cmg78 zebrafish larvae at 2 dpf showed significantly decreased basal respiration in atp6v1e1b-deficient zebrafish compared to WT controls (Fig 6B). In addition, the basal extracellular acidification rate (ECAR) was lower in atp6v1e1b-deficient zebrafish compared to WT controls (Fig 6C). Measurement of OCR and ECAR estimates the ATP generation from two different pathways: oxidative phosphorylation in the mitochondria and glycolysis in the cytosol [51]. Plotting ECAR against OCR of both mutant zebrafish and WT controls showed an altered metabolic state. Atp6v1e1b-deficient zebrafish showed a quiescent signature, while the corresponding WT controls are in a more energetic state (Fig 6D). Administration of the proton uncoupler carbonyl cyanide p-trifluoromethoxy- phenylhydrazone (FCCP) (Fig 6F–6H) had no influence on the OCR in WT controls. FCCP however did increase the OCR in atp6v1e1b-deficient zebrafish, indicating spare respiratory capacity (Fig 6F–6H). Administering oligomycin, a compound that inhibits the mitochondrial F-ATP synthase (complex V of the oxidative respiratory chain) [52], decreases the mitochondrial respiration which is linked to cellular ATP production in WT controls. Surprisingly, we observed an immediate increase in OCR directly after administration of oligomycin in both atp6v1e1b-deficient zebrafish (Fig 6E–6G). Administration of Bafilomycin A1 (Baf A1) to WT controls reduced the mitochondrial oxygen consumption which suggests a direct link between altered v-ATPases and mitochondrial respiration in zebrafish (S9B–S9D Fig). Baf A1 treatment also reduced the mitochondrial oxygen consumption in atp6v1e1bhi577aTg/hi577aTg (S9B Fig). In atp6v1e1bcmg78/cmg78, Baf A1 treatment had no effect on basal respiration (S9D Fig). Interestingly, the immediate increase in OCR directly after administration of oligomycin in both atp6v1e1b-deficient zebrafish remained present after administration of Baf A1 (S9A–S9D Fig). Considering the observed metabolic abnormalities in the atp6v1e1b-deficient zebrafish, we supplemented metabolites of the Krebs cycle to the E3 medium of mutant larvae in order to attempt to ameliorate their phenotype. Administration of pyruvate, fumarate, oxaloacetic acid, succinate, glycolate, and L-(-)-acetic acid was not able to improve the survival of atp6v1e1b-deficient zebrafish (S8D–S8I Fig). This indicates that targeting the Krebs cycle alone is not sufficient to rescue the pleiotropic consequences of reduced atp6v1e1b in vivo.

Fig 6. Early respiratory chain deficits resulting from atp6v1e1b depletion in vivo.

Fig 6

(A) Representative images of ultrathin sections of the yolk from WT control and atp6v1e1b-deficient zebrafish and WT controls at 4 dpf. Asterisk, normal mitochondria. Diamond, dilated mitochondria. Scale bar = 500 nm. Results are representative of three independent experiments. (B) Measurement of the basal respiration and (C) extracellular acidification rate in atp6v1e1bhi577aTg/hi577aTg and atp6v1e1bcmg78/cmg78 zebrafish larvae at 2 dpf compared to WT controls. (D) Plot of OCR vs. ECAR values showed that both mutant zebrafish larvae are in a more quiescent aerobic state than their WTs. (E-H) OCR in WT control and atp6v1e1b-deficient zebrafish after administration of oligomycin and rotenone/antimycin a or FCCP and rotenone/antimycin a. ECAR: extracellular acidification rate; OCR: oxygen consumption rate. Data are expressed as mean ± standard error of the mean (SEM) from 5 biological replicates.

Discussion

In order to investigate the molecular mechanisms involved in the pathogenesis of ARCL type 2C, which is caused by pathogenic variants in the ATP6V1E1 gene [10], we performed an in-depth characterization of genetically modified zebrafish models. Since zebrafish have two ohnologs of ATP6V1E1, we investigated both atp6v1e1a- and atp6v1e1b-deficient zebrafish. While zebrafish deficient in atp6v1e1a survived normally to adulthood without any phenotype, atp6v1e1b-deficiency led to embryonical lethality, associated with muscular, craniofacial, cardiovascular, and dermal abnormalities. These data confirm the pleiotropic effects of v-ATPase deficiency, mimicking the syndromic manifestations of ARCL type 2C patients. Moreover, our data suggest that atp6v1e1a is a non-functional ohnolog, however unrecognized compensatory mechanisms might still be discovered in future evolutionary studies.

Based on the known N-glycosylation abnormalities in ARCL type 2C patients, we characterized the glycosylation profile in the atp6v1e1b-deficient zebrafish. 9-mannose N-glycan species were increased in both atp6v1e1b-deficient strains, but differences in complex N-glycan species were more pronounced in atp6v1e1bcmg78/cmg78 than in atp6v1e1bhi577aTg/hi577aTg zebrafish. In atp6v1e1bcmg78/cmg78 larvae, a higher abundance of Neu5Gc terminal glycan species (instead of Neu5Ac terminal glycan species) likely reflects altered activity of cytidine monophospho-N-acetylneuraminic acid hydroxylase (CMAH) [53]. Defective N-glycosylation is likely associated with the reduced abundance of Golgi apparati in both atp6v1e1b-deficient zebrafish strains. Even more, the remaining Golgi showed a dilated phenotype in atp6v1e1bcmg78/cmg78, but not in atp6v1e1bhi577aTg/hi577aTg larvae, which could point to the stronger disruption of sequential enzymatic N-linked glycosylation modifications [54]. Reduced acidification in the cis-Golgi might cause suboptimal enzymatic functioning of mannosidase 1 altering trimming of 9-mannose N-glycans towards subsequent substrates for further processing in the medial-Golgi [5456]. While the difference in the complex glycan profiles between both mutant lines is interesting from a mechanistic perspective, the relevance for human biology is likely limited since the CMAH gene has been inactivated during evolution just prior to human speciation [53]. The exact mechanisms underlying the differences between the two mutant zebrafish lines remain to be elucidated in future studies, but they likely involve residual atp6v1e1b protein activity still being expressed in the atp6v1e1bhi577aTg/hi577aTg line [57]. Taken together, these features are reminiscent to the changes in relative abundancies of different N-glycans and altered Golgi morphology observed in ARCL type 2C patients [10].

Early endosomes are known to mature into late endosomes by Rab conversion [58]. Different tissue-specific expression patterns of Rab5 and Rab7 in atp6v1e1b-deficient zebrafish larvae suggest altered processing of endosomes correlating with residual atp6v1e1 protein level. In addition, our Lysotracker data suggests that loss of atp6v1e1b in zebrafish led to an increase in the pH in acidic vesicles due to the loss of v-ATPase functionality. Further studies should confirm the increase in the pH of acidic vesicles by creating transgenic zebrafish lines expressing the pHluorin (pH-sensitive GFP variant pHluorin) and pHLARE (pH Activity Reporter based on fusion with LAMP1) reporters [59,60] since measuring pH in zebrafish is not straightforward. In vitro, it has been shown that inhibition of v-ATPases by siRNAs or by specific inhibitors leads to a decrease in the acidification of endosomes and lysosomes, blocking the activity of lysosomal proteases. As a result, endosome maturation and processing as well as lysosomal protein degradation is disrupted. Subsequent decreases in intra-lysosomal amino acid levels were shown to reduce mTORC1 activity [6163]. In contrast, we found that loss of atp6v1e1b in zebrafish larvae induces an increase in total protein levels of the cytoplasmic p85 isoform of S6K1 along with an increase in the nuclear p31 isoform of S6K1. The latter may indicate that splicing protein SF2/ASF, known to induce oncogenic activity in vitro, might be active in atp6v1e1b-deficient zebrafish larvae [47,64]. Nevertheless, an increased mTORC1 activity has previously been observed in primary osteoclasts derived from mice carrying a point mutation in the Atp6v0a3 causing increased lysosomal pH [6567]. In parallel, our data also shows decreased AMPK activity in atp6v1e1b-deficient zebrafish. Taken together, the modulation of both critical sensors suggests that loss of atp6v1e1b and reduced vesicular acidification directs cells towards an anabolic response.

We furthermore investigated the non-canonical effects of v-ATPase deficiency on a number of signalling pathways. We found reduced gene expression levels of canonical Wnt target genes in atp6v1e1b-deficient zebrafish, likely due to a reduced signalling from the Wnt-receptor complex (LRP6, PRR, and Wnt receptor) which requires activation by v-ATPase-dependent acidification in endosomes [34,68]. On the other hand, no prominent disruption of the Notch signalling pathway could be shown in our atp6v1e1b-deficient zebrafish models, despite evidence from prior studies indicating that endosomal acidification is required for Notch signal transduction [69].

Intriguingly, we discovered lipid-rich multilamellar bodies, characterized as lipid whorls, in the yolk of atp6v1e1b-deficient zebrafish. Lipid whorls are also observed in primary and secondary lysosomal storage disorders such as Niemann–Pick disease type C (NPC), which are characterized by reduced substrate clearance, and an accumulation of endo(lyso)somes [70,71]. In NPC, deficiency of the NPC1 or NPC2 protein impairs the transmembrane transport of lipids, especially cholesterol, in the late endo(lyso)somal pathway [72]. It has previously been shown that v-ATPase subunits are associated with detergent resistant membranes present in late endosomes containing raft-like domains which are rich in cholesterol and sphingomyelin [7375]. Our data confirmed a strong increase of PC levels and its derivatives, PG, PI, and SM levels in atp6v1e1b-deficient zebrafish. However, DCER levels are increased while CER levels remain equal. Since atp6v1e1b-deficient zebrafish show reduced and abnormal Golgi, we hypothesize that translocation of ceramides might be reduced or delayed, leading to accumulation of CER and its direct precursor DCER. The overall amount of CER in the embryo is unaltered, likely as a result of coupling between the de novo and salvage pathways and action of sphingomyelinase at the plasma membrane [76]. Further studies are required to fully elucidate the mechanisms responsible for the lipid profile abnormalities observed in the two mutant zebrafish lines.

To better understand the system-wide effects of v-ATPase dysfunction in vivo, we performed an unbiased analysis of the transcriptome and metabolome in atp6v1e1b-depleted zebrafish. These assays were performed at a developmental stage before gross morphological alterations became apparent, in an attempt to minimize signals from secondary effects resulting from general physiological dysregulation. KEGG pathway analysis on DEGs in atp6v1e1b-deficient zebrafish indicated enrichment of genes involved in oxidative phosphorylation, fatty acid elongation, carbon metabolism, and steroid biosynthesis pathways. In addition, unbiased analysis of the metabolic profile of atp6v1e1b-deficient zebrafish indicated glycosphingolipid metabolism, glycerophospholipid metabolism, glycolysis and gluconeogenesis, and fatty acid metabolism as key affected pathways. Taken together, our systems biology approach has shown that perturbation of v-ATPase function in vivo results in complex changes in multiple biological pathways, with a marked impact on energy and lipid metabolism.

The system-wide indications of altered energy metabolism, together with the observation of dilated mitochondria, prompted us to further investigate the mitochondrial respiratory chain in our atp6v1e1b mutant models. Interestingly, we found that the uncoupling agent FCCP did not increase OCR in 2 dpf WT larvae beyond baseline levels, suggesting that mitochondria are already at a maximal respiration rate at this stage of development. In contrast, 2 dpf atp6v1e1b-deficient zebrafish larvae showed a decreased OCR at baseline, that could be increased to similar levels as observed in WT larvae by the administration of FCCP, suggesting suboptimal functioning of the respiratory chain. Surprisingly, after administering the ATP synthase inhibitor oligomycin, we observed an unexpected increase in the OCR of atp6v1e1b-deficient zebrafish, while WT larvae showed an immediate decrease in OCR as expected. We hypothesize that this could be the result of a reverse direction of operation of the mitochondrial ATP synthase (F-ATPase) at baseline in atp6v1e1b-deficient zebrafish. ATP hydrolysis activity of F-ATPase has previously been observed in vitro when mitochondrial dysfunction is induced by disrupting the electrochemical membrane potential [7779]. Given the evolutionary relationship between v-ATPase and F-ATPase, alteration of the E1 subunit of v-ATPase might directly impact F-ATPase function, a hypothesis supported by observations in trypanosomes, where v-ATPase depletion was shown to affect F-ATPase coupling [80]. Mitochondrial dysfunction is linked with reduced muscle functions [81]. We hypothesize that less mitochondrial ATP production might cause hypotonia in atp6v1e1b-deficient zebrafish. Administration of Baf A1 to 2 dpf WT embryos mimics the effects of atp6v1e1b deficiency on mitochondrial respiration and provides a direct link between v-ATPase inhibition and impaired mitochondrial respiration. These in vivo data confirm previous in vitro data obtained in mouse embryonal fibroblasts treated with Baf A1, showing an even more pronounced shutdown of mitochondrial respiration [3638]. The decline in basal OCR after Baf A1 administration in atp6v1e1bhi577aTg/hi577aTg but not in atp6v1e1bcmg78/cmg78 larvae is likely due to the presence of residual atp6v1e1 protein level in the former line. This newly discovered in vivo link between v-ATPase deficiency and mitochondrial dysfunction, likely plays an important role in the pathogenesis of disorders caused by affective v-ATPase function and merits more research into the specific mechanisms involved.

In line with the mechanistic evidence gathered in our studies, we aimed to test whether modulating the identified pathways could ameliorate the phenotype in atp6v1e1b-deficient zebrafish. Inhibition of ceramide synthase and ceramide transport protein did not have any effect on the survival of mutant larvae. Moreover, the administration of drugs interfering with the Krebs cycle did also not improve the survival of atp6v1e1b-deficient zebrafish. These results suggest that we might have not yet found the right therapeutic target, or that compounds modulating multiple targets or pathways will be necessary to rescue the consequences caused by atp6v1e1b deficiency. Future larger compound screens in these zebrafish models are likely to yield novel therapeutic targets which could potentially be pursued for further clinical applications.

A limitation of this study is that only whole-body zebrafish embryo samples were investigated, due to the technical difficulties to extract specific cell or tissue types at the early developmental stages. Therefore, it is conceivable that effects limited to specific cell types are obscured in our multi-omics data analysis. On the other hand, since homozygous atp6v1e1-deficient zebrafish are not viable, maternal zygotic knockout embryos cannot be obtained and the possibility remains that the phenotype during early development is mitigated by residual protein level from maternal WT atp6v1e1b mRNA in homozygous mutant embryos. In a prior study investigating the relative contribution of the maternal and paternal transcriptome in developing zebrafish embryos, RNAseq analysis indicated that atp6v1e1b mRNA was almost exclusively maternally derived up to 6 hpf, but starting at 9 hpf strong zygotic expression was detected [82]. These data suggest that maternally-derived atp6v1e1b transcripts only play a role during early embryogenesis, and that zygotic atp6v1e1b transcription takes over after gastrulation. Considering the expected minimal residual impact of maternally-derived WT atp6v1e1b transcript at the time of analysis and due to the profound presence of lipid alterations in the yolk we decided to study intact embryos in our omics experiments, thereby excluding potential artefactual disturbances to the measurements which might be introduced by a deyolking procedure [83]. The only exception was the analysis of the N-glycosylation profile in embryos which does require prior deyolking in order to maximize the relevance of the obtained results. The signal from early embryonic body proteins that are present in smaller proportions might be obscured by the signal from the predominant yolk proteins [45,84]. In future studies cell- and/or tissue-specific inactivation of atp6v1e1b can be investigated in order to further explore the detailed mechanisms underlying the wide range of manifestations of v-ATPase deficiency.

In summary, our mutant zebrafish models resemble the human ARCL type 2C phenotype with pleiotropic manifestations in multiple tissues. Unbiased analysis of the effects of loss of v-ATPase function on the level of the transcriptome, metabolome, glycome, and lipidome indicated alterations in oxidative phosphorylation, fatty acid metabolism, glycolysis profile, and sphingolipid metabolism as most prominently affected processes. Taken together, our study has identified a range of biological effects of atp6v1e1b deficiency in vivo, which deserve further investigation and might be leveraged to develop new therapeutics in the future.

Materials and methods

Ethics statement

We adhered to the general guidelines, in agreement with EU Directive 2010/63/EU for laboratory animals, for zebrafish handling, mating, embryo collection and maintenance [85,86]. Approval for this study was provided by the local committee on the Ethics of Animal Experiments (Ghent University Hospital, Ghent, Belgium; Permit Number: ECD 17/63K and ECD 18/05).

Zebrafish lines and maintenance

Zebrafish lines were housed in a Zebtec semi-closed recirculation housing system at a constant temperature (27–28°C), pH (~7.5), conductivity (~550 μS) and light/dark cycle (14/10). Fish were fed twice a day with dry food (Gemma Micro) (Skretting, France) and once with artemia (Ocean Nutrition, Essen, Belgium). Atp6v1e1bhi577aTg/+ was purchased from the Zebrafish International Research Center (ZIRC, University of Oregon, Eugene, USA). Atp6v1e1bhi577aTg/hi577aTg constitutes a retroviral insertion in the 5’ UTR of the gene [41,87]. Atp6v1e1bcmg78/cmg78 and atp6v1e1a-/- were generated using CRISPR-Cas9 mutagenesis according to the workflow previously described [88]. Zebrafish were genotyped with primers listed in S3 Table.

Alcian Blue staining

Cartilage patterns were stained with Alcian Blue as previously described [89]. Craniofacial structures were measured with Fiji software [90] and normalized to the length of the head. Stained specimens were analyzed with a Leica M165 FC Fluorescent Stereo Microscope (Leica Microsystems, GmbH, Wetzlar, Germany).

Evaluation heart function and blood flow

Video microscopy was performed on an Axio Observer.Z1 inverted microscope attached to a monochrome Axiocam 506 camera (Carl Zeiss Microscopy GmbH, Jena, Germany). Sequential images of the heart and blood flow region of interest were obtained in lateral position at 50 frames/sec at 3 dpf. Videos of the heart were manually analyzed using Fiji software [90]. The short and long axis of an ellipse fitted to the outline of the outside ventricular wall was measured 3 times in systole and in diastole [91]. Based on the assumption that the ventricle of the zebrafish embryo is a prolate spheroid [92], the systolic and diastolic volume was calculated. Videos of the blood flow through the tail vasculature were analyzed as previously described [93].

Evaluation of the vasculature structure

Zebrafish were outcrossed to the Tg(kdrl:eGFP) zebrafish line in order to visualize endothelial cells. Zebrafish larvae of 5 dpf were embedded in 0.8% seaPlaque low melting agarose (Lonza, Basel, Switzerland) supplemented with 160 mg/L tricaine (Sigma-Aldrich, Saint Louis, MI, USA) in order to minimize the artefactual movements. Z-stacks were taken on an Axio Observer.Z1 inverted microscope attached to a monochrome Axiocam 506 camera (Carl Zeiss Microscopy GmbH) and analyzed using the stack focuser algorithm in Fiji software [90]. The segmental area of the aorta between the first (AA3) and the second branchial arch (AA4) [94], diameter of aorta proximal to bulbus, average of 3 segments between branches of the ventral aorta and the diameter of the bulbus arteriosus were measured.

Transmission electron microscopy

Zebrafish mutant larvae of 4 dpf were fixed and processed for ultrastructural analysis as previously described [95]. Sections were viewed with Jeol JEM 1010 TEM (Jeol Ltd., Tokyo, Japan) equipped with a CCD side mounted Veleta camera operating at 60 kV. Experiments were performed in collaboration with the TEM facility of the Nematology Research Unit. Pictures were digitized using a Ditabis system (Ditabis Ltd., Pforzheim, Germany).

Western blot

For immunoblot analysis, 20 zebrafish larvae were homogenized with a pestle in SDS Laemlli buffer (10% glycerol, 2% SDS, 0.5M Tris HCl pH 8,0 and dH2O) at 4 dpf. Protein samples were subjected to 7%, 10% or 15% SDS polyacrylamide gel electrophoresis, and transferred to a polyvinyldifluoride (PVDF) or nitrocellulose (NC) membrane (Thermo Fisher Scientific, Waltham, Massachusetts, USA) with the iBlot 2 Dry Blotting System (Thermo Fisher Scientific). Imaging was performed with an Amersham Imager 600 CCD camera (GE Healthcare, Chicago, Illinois, USA) and analyzed using Fiji software [90]. The following primary antibodies were used: monoclonal rabbit anti-Rab5 antibody (1:1000, C8B1, Cell Signaling Technology (CST), Danvers, Massachusetts, USA), monoclonal rabbit anti-Rab7 antibody (1:1000, D95F2, CST), monoclonal rabbit anti-EEA1 antibody (1:1000, C45B10, CST), polyclonal rabbit anti-LAMP1 (1:1000, ab24170, Abcam, Cambridge, United Kingdom) and polyclonal rabbit anti-ATP6V1E1 (1:500, ab111733, Abcam). HRP-conjugated goat anti-rabbit IgG was used as a secondary antibody (1:2000, #7074, CST).

RT-qPCR

Quantitative reverse transcription PCR (RT-qPCR) was performed as described previously [96]. Total RNA was extracted in quintuplicate, in which 10 zebrafish larvae were pooled per sample. Assays were prepared with the addition of ssoAdvanced SYBR Green supermix (Bio-Rad Laboratories, Hercules, CA, USA) and were subsequently run on a LightCycler 480 Instrument II (Roche, Basel, Switzerland). Primers were designed using Primer-BLAST (S5 Table). Biogazelle qBase+3.0 Software was used for data analysis using bactin2, elfa and gapdh for normalization.

Oxygen measurements

An XF24 Extracellular Flux Analyzer (Agilent Technologies, Santa Clara, CA, USA) was used to measure oxygen consumption rate (OCR) and extracellular acidification rate (ECAR). 10 of the 24 wells on an islet capture microplate (Agilent Technologies) were used for mutant zebrafish larvae, 10 wells were used for their respective WT controls and 4 wells served as quality control (QC). Four zebrafish larvae were put together in 1 well. Zebrafish larvae were incubated in 1x E3-medium buffered with 4mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) (Life Technologies, Carlsbad, CA, USA). Seahorse XF Cell Mito Stress kit (Agilent Technologies) was used according to manufacturer’s instructions and modified for zebrafish purposes as described in previous publications [9799]. Baf A1 (1,6 μM final concentration, Sigma-Aldrich) was administered to the zebrafish larvae in order to investigate the effect of Baf A1 on the ORC response. Final DMSO concentration did not exceed 1% in the well of the islet capture microplate. OCR data and ECAR data were exported using Wave Desktop Software (Agilent Technologies).

Lipid extraction, mass spectrometry and data analysis

40 larvae of 3 dpf were homogenized in 500 μL H2O with the Precellys system and a sample volume equal to 10 μg of DNA was diluted in 700 μL H2O and mixed with 800 μL 1 N HCl:CH3OH 1:8 (v/v), 900 μL CHCl3 and 200 μg/ml of the antioxidant 2,6-di-tert-butyl-4-methylphenol (BHT) (Sigma Aldrich). 3 μL of SPLASH LIPIDOMIX Mass Spec Standard, (Avanti Polar Lipids, Alabaster, AL, USA) was spiked into the extraction mix. The organic fraction was evaporated using a Savant Speedvac spd111v (Thermo Fisher Scientific) at room temperature and the remaining lipid pellet was stored at -20°C under argon. Just before mass spectrometry analysis, lipid pellets were reconstituted in 100% ethanol. Lipid species were analyzed by liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI/MS/MS) on a Nexera X2 UHPLC system (Shimadzu, Kioto, Japan) coupled with hybrid triple quadrupole/linear ion trap mass spectrometer (6500+ QTRAP system; AB SCIEX). Chromatographic separation was performed on a XBridge amide column (150 mm × 4.6 mm, 3.5 μm; Waters) maintained at 35°C using mobile phase A (1 mM ammonium acetate in water-acetonitrile 5:95 (v/v)) and mobile phase B (1 mM ammonium acetate in water-acetonitrile 50:50 (v/v)) in the following gradient: (0–6 min: 0% B ➔ 6% B; 6–10 min: 6% B ➔ 25% B; 10–11 min: 25% B ➔ 98% B; 11–13 min: 98% B ➔ 100% B; 13–19 min: 100% B; 19–24 min: 0% B) at a flow rate of 0.7 mL/min which was increased to 1.5 mL/min from 13 minutes onwards. SM, CE, CER, DCER, HCER, LCER were measured in positive ion mode with a precursor scan of 184.1, 369.4, 264.4, 266.4, 264.4 and 264.4 respectively. TAG, DAG and MAG were measured in positive ion mode with a neutral loss scan for one of the fatty acyl moieties. PC, LPC, PE, LPE, PG, LPG, PI, and LPI were measured in negative ion mode with a neutral loss scan for the fatty acyl moieties. Lipid quantification was performed by scheduled multiple reactions monitoring, the transitions being based on the neutral losses or the typical product ions as described above. Peak integration was performed with the MultiQuant software version 3.0.3. Lipid species signals were corrected for isotopic contributions (calculated with Python Molmass 2019.1.1) and were normalized to internal standard signals. Unpaired T-test p-values and FDR corrected p-values (using the Benjamini/Hochberg procedure) were calculated in Python StatsModels version 0.10.1.

Transcriptomics

Total RNA was isolated from whole zebrafish larvae at 3 dpf from atp6v1e1bhi577aTg/hi577aTg and atp6v1e1bcmg78/cmg78 zebrafish, and WT controls as described previously [96]. Total RNA was extracted in triplicate. RNA integrity was checked by 2100 Bioanalyzer (Agilent Technologies). 10 zebrafish larvae of each genotype were pooled in 1 sample to obtain sufficient heterogeneity amongst samples. A sequencing library was prepared using the TruSeq Stranded mRNA Library Prep (Illumina, San Diego, CA, USA) supplemented with TruSeq RNA Single Indexes Set A (Illumina), according to the manufacturer’s instructions. Paired-end sequencing was performed on an HiSeq 3000 sequencer (Illumina) with the HiSeq 3000/4000 SBS kit (150 cycles) according to the manufacturer’s protocol. Data analysis was done in collaboration with the bio-informatics core (Department of Biomolecular Medicine, UGent). An RNA-seq pipeline was used that was published by the nf-core community. This pipeline was executed using the Nextflow [100] engine for computational workflows and comprises several processing steps [101]. QC analysis of the RNA-seq data was performed with FastQC and MultiQC [102]. TrimGalore was used to remove adapter contamination and to trim low-quality regions. Duplicate reads were identified with MarkDuplicates (Picard). Subsequently, all cleaned and trimmed reads that passed QC were aligned to GRCz10 using STAR aligner [103]. The index trimmed paired-end 150 base pair reads were aligned to the zebrafish GRCz10 reference genome. Gene counts were computed using the featureCounts package [104]. Differential expression analysis subsequently was performed on these gene counts using DESeq2 [105]. Differentially expressed genes were identified using a fold change cut-off >1 and FDR = 0.05. Finally, GO enrichment, GO pathway (http://geneontology.org/) and KEGG pathway (https://www.genome.jp/kegg) analysis were performed on differentially expressed gene sets using the generally applicable gene-set enrichment for pathway analysis (GAGE) algorithm [106]. RNA sequencing data used for the gene expression analysis of both atp6v1e1b-deficient zebrafish and WT controls have been deposited in the ArrayExpress database at EMBL-EBI under accession number E-MTAB-8824, and can be accessed at the following link: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-8824.

Metabolomics

In order to assess the effect of atp6v1e1b reduction on their metabolome, 3 batches of ∼100 atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78 and their WT controls were harvested at 3 dpf. Larvae were homogenized with a pestle in dH2O and the larvae were frozen until processed. Samples were subjected to Ultra Performance Liquid Chromatography High Resolution Mass Spectrometry (UPLC-HRMS) at the VIB Metabolomics Core Ghent (VIB-MCG). 10 μL was injected on a Waters Acquity UHPLC device connected to a Vion HDMS Q-TOF mass spectrometer Chromatographic separation was carried out on an ACQUITY UPLC BEH C18 (50 × 2.1 mm, 1.7 μm) column from Waters, and temperature was maintained at 40°C. A gradient of two buffers was used for separation: buffer A (99:1:0.1 water:acetonitrile:formic acid, pH 3) and buffer B (99:1:0.1 acetonitrile:water:formic acid, pH 3), as follows: 99% A for 0.1 min decreased to 50% A in 5 min, decreased to 30% from 5 to 7 minutes, and decreased to 0% from 7 to 10 minutes. The flow rate was set to 0. 5 mL min−1. Both positive and negative Electrospray Ionization (ESI) were applied to screen for a broad array of chemical classes of metabolites present in the samples. The LockSpray ion source was operated in positive/negative electrospray ionization mode under the following specific conditions: capillary voltage, 2.5 kV; reference capillary voltage, 2.5 kV; source temperature, 120°C; desolvation gas temperature, 600°C; desolvation gas flow, 1000 L h−1; and cone gas flow, 50 L h−1. The collision energy for full MS scan was set at 6 eV for low energy settings, for high energy settings (HDMSe) it was ramped from 28 to 70 eV. Mass range was set from 50 to 1000 Da, scan time was set at 0.1s. Nitrogen (greater than 99.5%) was employed as desolvation and cone gas. Leucine-enkephalin (250 pg μL−1 solubilized in water:acetonitrile 1:1 [v/v], with 0.1% formic acid) was used for the lock mass calibration, with scanning every 1 min at a scan time of 0.1 s. Profile data was recorded through Unifi Workstation v2.0 (Waters). Data processing was performed with Progenesis QI software version 2.4 (Waters) for chromatogram alignment and compound ion detection. The detection limit was set at maximum sensitivity. In ESI+ and ESI- ionization, 9795 and 8959 features were detected and aligned, respectively. Post-processing was done with the online MetaboAnalyst 4.0 tool (http://www.metaboanalyst.ca) [107,108]. Briefly, the features were normalized by log transformation and Pareto scaling upon statistical analysis. T-test with FDR<0.1 identified 329 features for atp6v1e1bhi577aTg/hi577aTg compared to WT controls and 521 features as significant for atp6v1e1bcmg78/cmg78 compared to WT controls. Functional interpretation directly from m/z peaks was performed based on a well-established GSEA algorithm [108]. Identifications of significant m/z peaks (one-way ANOVA, FDR<0.02) was attempted with Chemspider including following libraries: Chebi, Humann Metabolome database, Golm Metabolome database, The national compound collection, Targetmol, Sigma Aldrich, Pubmed, Natural products Atlas, NIST Spectra, NIST, Mcule, Massbank, KEGG, FoodDB, Extrasynthese and Analyticon Discovery.

N-Glycomics

In order to assess the effect of atp6v1e1b reduction on N-linked glycosylation, 3 batches of ∼400 atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and WT controls were harvested at 3 dpf. Yolks were manually removed from all samples and the larvae were frozen until processed. Larvae were homogenized with a pestle in 1% octyl-glucoside (Life Technologies) in dH2O. Samples were concentrated by Amicon ultrafiltration (Merck Millipore, Burlington, MA, USA). Samples were subjected to trypsin and peptide-N-glycosidase treatment before solid-phase extraction on C18 cartridges. Samples were dried by vacuum rotation after which glycans were methylated. Methylated glycans were applied onto a MALDI stainless steel target (Bruker Daltonics, MA, USA) together with an equal volume of matrix (α-cyano-4-hydroxy-cinnamic acid, saturated solution in 50% acetonitrile/0.1% aqueous TFA). MALDI-MS analysis was performed in the positive ion reflectron mode (HV acceleration 25 kV) on an UltrafleXtreme MALDI-TOF-TOF mass spectrometer (Bruker Daltonics) using the acquisition software FlexControl 3.3 and the data evaluation software FlexAnalysis 3.3 (Bruker Daltonics). The mass range selected for detection was from 500 to 5.000 Da. In general, 5.000 laser shots were accumulated at 1 kHz acquisition for each sample spot. Partial sequencing of glycans by MALDI-MS/MS was performed by laser-induced dissociation (LID) in the post-source decay (PSD) mode. Mass annotation was performed in FlexAnalysis and peaklists were generated after manual inspection of the entire mass range for correct isotope peak annotation. To assist oligosaccharide identification on the basis of sugar composition, the automatic tool for sugar mass increments was used. The molecular masses M+Na, M+Na-32, and M+Na-54 were compared with standard mass lists, however a final identification was based on combined MS and MS/MS data. Fragmentation patterns were evaluated manually using fragmentation ion masses predicted by the GlycoWorkbench software tool.

Quantitative analysis and statistics

Data processing and statistical analyses were performed using Graph Pad Prism version 9 (GraphPad Software, San Diego, CA, USA), which was used to generate each of the graphs shown in the figures and to perform statistical tests * P-value < 0.05; ** P-value < 0.01; *** P-value < 0.001; **** P-value < 0.0001. One-way ANOVA with correction for multiple comparison using the Bonferroni method was used for the majority of the analysis, except if mentioned otherwise in the figure legend or Materials and s.

Supporting information

S1 Fig. Whole mount in situ hybridization (WISH) for atp6v1e1 ohnologs in zebrafish embryos.

(A-C) Representative images demonstrating WISH for atp6v1e1a and atp6v1e1b at different developmental time points (24 hpf (n = 7), 48 hpf (n = 7), 72 hpf (n = 7), 120 hpf (n = 7) and 168 hpf (n = 7)). Expression patterns of atp6v1e1a and atp6v1e1b are similar. Scale bar = 200 μm. (D) Schematic representation of the atp6v1e1a gene (transcript ENSDART00000008986.6). The orange line represents the position of the target site of the sgRNA used for CRISPR-Cas9-induced indel mutagenesis (atp6v1e1a-/-). (E) RT-qPCR analysis showed a significant decrease in expression of atp6v1e1a at 3 dpf in atp6v1e1a-/-. Gene expression levels of atp6v1e1b remained normal. Data are expressed as mean ± SD from 5 biological replicates. 2-way ANOVA with Tukey test for multiple comparison. (F-J) Whole-mount bone staining of 12-month-old adult atp6v1e1a-/- and their respective wild-type (WT) controls in dorsal (I, J) and lateral positions (F, G). N = 8 per genotype. Scale bar = 2 mm (A, B, C, D).

(TIF)

S2 Fig. Knock-out of atp6v1e1b in zebrafish shows an early phenotypic read-out.

(A) Schematic representation of the atp6v1e1b gene (transcript ENSDAR00000050221.5). The orange line represents the position of the proviral insert (atp6v1e1bhi577aTg/+) or the target site of the sgRNA used for CRISPR-Cas9-induced indel mutagenesis (atp6v1e1bcmg78/+). (B) RT-qPCR analysis showed a significant decrease in expression of atp6v1e1b in both zebrafish models at 3 dpf. Data are expressed as mean ± SD from 5 biological replicates. (C) Band intensities of fluorescence signals of atp6v1e1 and α-tubulin were quantified and normalized to the corresponding WT controls. Data are expressed as mean ± SD from 3 biological replicates, in which 20 zebrafish larvae were pooled per sample. 2-way ANOVA with Tukey test for multiple comparison was used for statistical analysis. Different protein extracts were loaded on the immunoblot. (D-E) Immunoblot of lysates obtained from atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and their WT controls at 4 dpf. We confirmed equal loading by staining for α-tubulin. (F) Loss of atp6v1e1b causes embryonic mortality in zebrafish. Kaplan-Meier curves for survival of atp6v1e1b-deficient zebrafish. (G) Hatching pattern of atp6v1e1b-deficient zebrafish. Atp6v1e1b-defcient zebrafish showed delayed or no spontaneous hatching (H) Touch-Evoked Escape test (TEE-test) of atp6v1e1bhi577aTg/hi577aTg larvae (n = 22) and their respective WT controls (n = 8), atp6v1e1bcmg78/cmg78 (n = 26) larvae and their respective WT controls (n = 26). The reaction after touch with a thick blunt needle was scored as follows: (1) no movement, (2) local muscle contractions of the embryo, (3) short distance swim movement and (4) normal swim movement towards the edge of the Petri dish.

(TIF)

S3 Fig. Atp6v1e1b-deficiency impairs protein level of endo(lyso)somal markers in zebrafish larvae.

(A) Immunoblot of lysates from whole atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and corresponding WT control larvae at 4 dpf. We confirmed equal loading by staining for α-tubulin. (C-F) Quantification of the relative protein levels of EEA1 (marker for early endosomes), Rab5 (marker for early endosomes), Rab7 (marker for late endosomes), and LAMP1 (marker for lysosomes), normalized to total α-tubulin levels. Data are expressed as mean ± SD from 4 biological replicates. (G) Schematic presentation of the area covered by confocal microscopy in I. (H) The number of acidified vesicles is significantly reduced in atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and Baf A1 treated WT larvae at 3 dpf compared to WT controls. (I) Representative confocal images of the cranial area are shown. Outlines of the eyes are indicated by dotted lines. Acidified vesicles in brain cells are visualized in red, including lysosomes, endosomes and exosomes. Atp6v1e1b+/+ (n = 12), atp6v1e1bhi577aTg/hi577aTg (n = 12), atp6v1e1bcmg78/cmg78 (n = 12) and atp6v1e1b+/+ treated with 1.6 μM Baf A1 (n = 9). Scale bar = 100 μm.

(TIF)

S4 Fig. Tissue specific expression and localization of early and late endosomal markers in atp6v1e1b-deficient zebrafish.

Representative images are shown. Confocal microscopy images of longitudinal sections of the yolk (A-D) and brain (E-H) from 4 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for RAB5. (I-L) Confocal microscopy images of longitudinal sections of the muscle from the trunk of the zebrafish larvae from 3 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for RAB7. Confocal microscopy images of longitudinal sections of the yolk (M-P) and brain (Q-T) from 3 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for LAMP1. Negative control was imaged for each corresponding region in the zebrafish larvae. Scale bar = 20 μm.

(TIF)

S5 Fig. In vivo loss of atp6v1e1b does not affect iron availability and does not induce a hypoxia-mediated response.

(A-H) No difference in gene expression of the HIF-1α-target genes, egln3, vegfaa and pfkfb3, were found in atp6v1e1b-deficient zebrafish. Interestingly, the gene expression of the HIF-1α-target genes, vegfab, slc2a1a, slc2a1b, angptl4 and pdk1, was downregulated to varying extents in atp6v1e1b-deficient zebrafish based on RT-qPCR. Data are expressed as mean ± SD from 5 biological replicates. (I) Supplementation of 100 μM iron (Fe3+) ammonium citrate (FAC) does not improve survival of atp6v1e1b-deficient zebrafish. Kaplan-Meier curves for survival of atp6v1e1b-deficient zebrafish with and without FAC treatment. (J) Atp6v1e1b-deficient and WT control zebrafish at 3 dpf exhibited normal levels of hemoglobin upon o-dianisidine staining. Atp6v1e1bhi577aTg/hi577aTg (n = 15) and their respective WT controls (n = 15), atp6v1e1bcmg78/cmg78 (n = 15) and their respective WT controls (n = 15). Scale bar: 200 μM.

(TIF)

S6 Fig. Reactome pathway analysis confirms enrichment of oxygen exchange, ion delivery and inflammatory signaling clusters in atp6v1e1-deficient zebrafish.

(A) RT-qPCR analysis of 10 from the top150 DEGs validating the results obtained in the unbiased transcriptomic analysis. Data are expressed as mean ± SD from 5 biological replicates. (B-C) Cluster plot showing the top enriched reactome pathways of the DEG from whole-body samples of atp6v1e1b-deficient and WT control zebrafish at 3 dpf.

(TIF)

S7 Fig. Minor changes in phospholipid and fatty acid levels upon atp6v1e1b depletion in zebrafish larvae.

(A-H) HILIC LC MS/MS lipidomic analysis demonstrates minor changes in the total levels of phospholipids and fatty acids in 3 dpf atp6v1e1b-deficient zebrafish. Data are expressed as mean ± SD from 3 biological replicates. TG: triacylglycerides; DG: diacylglycerides; Chol: cholesterol; CE: cholesterol esters; PE: phosphatidylethanolamine; PE-O: 1-alkyl,2- acylphosphatidylethanolamines; PE-P: 1-alkenyl,2-acylphosphatidylethanolamines; LPE: lysophosphatidylethanolamine.

(TIF)

S8 Fig. Modulating the ceramide synthesis pathway or the Krebs cycle does not ameliorate the survival of atp6v1e1b-deficient zebrafish.

(A-I) Survival curves are shown for atp6v1e1b-deficient zebrafish and controls until 8 dpf. Compounds were administered at 1 dpf, after chorion removal. (A-C) Administration of compounds interfering with the ceramide biosynthesis and cholesterol esterification. (D-I) Administration of compounds influencing the Krebs cycle. Kaplan-Meier curves for survival of atp6v1e1b-deficient and treated atp6v1e1b-deficient zebrafish.

(TIF)

S9 Fig. Acute pharmacological inhibition of v-ATPase function recapitulates the effects of atp6v1e1b-deficiency on mitochondrial oxygen consumption.

OCR response to oligomycin and rotenone/antimycin a in 2 dpf atp6v1e1bhi577aTg/hi577aTg (A-B) and atp6v1e1bcmg78/cmg78 zebrafish (C-D) and their respective controls after administration of vehicle (A, C) or the v-ATPase inhibitor Baf A1 (B, D) with oligomycin and rotenone/antimycin a or after administration. (C-D) OCR in WT controls and atp6v1e1bcmg78/cmg78 zebrafish after administration of vehicle in C or Baf A1 in D with oligomycin and rotenone/antimycin a or after administration. Data are expressed as mean ± SEM from 5 biological replicates in which 4 zebrafish were pooled. Baf A1: Bafilomycin A1; OCR: oxygen consumption rate.

(TIF)

S1 Table. List of DEGs with unknown gene names.

(DOCX)

S2 Table. Pathway activity profile of metabolites from atp6v1e1b-deficient zebrafish.

(Left) GSEA algorithm which considers the overall ranks of features without using a significance cut-off. (Right) Mummichog algorithm which implements an over-representation analysis method that is not able to detect subtle changes. *The mummichog compound hits represent the number of significant compounds divided by the total number of compounds per pathway.

(DOCX)

S3 Table. Zebrafish mutation and primers used for genotyping.

(DOCX)

S4 Table. Compound screen in zebrafish.

(DOCX)

S5 Table. Primer sequences for qPCR analysis.

(DOCX)

S1 Text. Supporting information.

(DOCX)

Acknowledgments

We would like to thank Ms. Petra Vermassen, Ms. Hanna De Saffel, Ms. Zoë Malfait, and Ms. Myriam Claeys for their technical support. Electron microscopy was performed in the TEM facility of the Nematology Research Unit. Secondly, we would also like to thank Ms. Jelena Jovanovic for the practical assistance with the seahorse experiments. Lipidomics was performed by Lipometrix, core facility at the KU Leuven (www.lipometrix.be). The Ghent University Hospital is member of the European Reference Network (ERN)-Skin, VascERN, and ReCONNET.

Data Availability

RNA sequencing data used for the gene expression analysis of both atp6v1e1b-deficient zebrafish and WT controls have been deposited in the ArrayExpress database at EMBL-EBI under accession number E-MTAB-8824, and can be accessed at the following link: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-8824.

Funding Statement

B.C. is a senior clinical investigator of the Research Foundation Flanders. This work was supported by a starting grant of the Special Research Fund from Ghent University (grant 01N04516C to B.C.), by a Methusalem Grant (BOFMET2015000401) from Ghent University, by a junior fundamental research project grant of the Fund for Scientific Research (G035620N) and by the European Union’s Horizon 2020 research and innovation program, under the Marie Skłodowska-Curie grant agreement No. 794365 to P.S. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Collins MP, Forgac M. Regulation and function of V-ATPases in physiology and disease. Biochimica et biophysica acta Biomembranes. 2020:183341. Epub 2020/05/19. doi: 10.1016/j.bbamem.2020.183341 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Korvatska O, Strand NS, Berndt JD, Strovas T, Chen DH, Leverenz JB, et al. Altered splicing of ATP6AP2 causes X-linked parkinsonism with spasticity (XPDS). Human molecular genetics. 2013;22(16):3259–68. Epub 2013/04/19. doi: 10.1093/hmg/ddt180 ; PubMed Central PMCID: PMC3723311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Hedera P, Rainier S, Zhao XP, Schalling M, Lindblad K, Yuan QP, et al. Spastic paraplegia, ataxia, mental retardation (SPAR): a novel genetic disorder. Neurology. 2002;58(3):411–6. Epub 2002/02/13. doi: 10.1212/wnl.58.3.411 . [DOI] [PubMed] [Google Scholar]
  • 4.Ramser J, Abidi FE, Burckle CA, Lenski C, Toriello H, Wen G, et al. A unique exonic splice enhancer mutation in a family with X-linked mental retardation and epilepsy points to a novel role of the renin receptor. Human molecular genetics. 2005;14(8):1019–27. Epub 2005/03/05. doi: 10.1093/hmg/ddi094 . [DOI] [PubMed] [Google Scholar]
  • 5.Fassio A, Esposito A, Kato M, Saitsu H, Mei D, Marini C, et al. De novo mutations of the ATP6V1A gene cause developmental encephalopathy with epilepsy. Brain: a journal of neurology. 2018;141(6):1703–18. Epub 2018/04/19. doi: 10.1093/brain/awy092 ; PubMed Central PMCID: PMC5972584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Rujano MA, Cannata Serio M, Panasyuk G, Peanne R, Reunert J, Rymen D, et al. Mutations in the X-linked ATP6AP2 cause a glycosylation disorder with autophagic defects. The Journal of experimental medicine. 2017;214(12):3707–29. Epub 2017/11/12. doi: 10.1084/jem.20170453 ; PubMed Central PMCID: PMC5716037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jansen EJ, Timal S, Ryan M, Ashikov A, van Scherpenzeel M, Graham LA, et al. ATP6AP1 deficiency causes an immunodeficiency with hepatopathy, cognitive impairment and abnormal protein glycosylation. Nature communications. 2016;7:11600. Epub 2016/05/28. doi: 10.1038/ncomms11600 ; PubMed Central PMCID: PMC4894975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stover EH, Borthwick KJ, Bavalia C, Eady N, Fritz DM, Rungroj N, et al. Novel ATP6V1B1 and ATP6V0A4 mutations in autosomal recessive distal renal tubular acidosis with new evidence for hearing loss. Journal of medical genetics. 2002;39(11):796–803. Epub 2002/11/05. doi: 10.1136/jmg.39.11.796 ; PubMed Central PMCID: PMC1735017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Karet FE, Finberg KE, Nelson RD, Nayir A, Mocan H, Sanjad SA, et al. Mutations in the gene encoding B1 subunit of H+-ATPase cause renal tubular acidosis with sensorineural deafness. Nature genetics. 1999;21(1):84–90. Epub 1999/01/23. doi: 10.1038/5022 . [DOI] [PubMed] [Google Scholar]
  • 10.Van Damme T, Gardeitchik T, Mohamed M, Guerrero-Castillo S, Freisinger P, Guillemyn B, et al. Mutations in ATP6V1E1 or ATP6V1A Cause Autosomal-Recessive Cutis Laxa. American journal of human genetics. 2017;100(2):216–27. Epub 2017/01/10. doi: 10.1016/j.ajhg.2016.12.010 ; PubMed Central PMCID: PMC5294668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Beyens A, Moreno-Artero E, Bodemer C, Cox H, Gezdirici A, Yilmaz Gulec E, et al. ATP6V0A2-related cutis laxa in 10 novel patients: Focus on clinical variability and expansion of the phenotype. Experimental dermatology. 2019;28(10):1142–5. Epub 2018/06/29. doi: 10.1111/exd.13723 . [DOI] [PubMed] [Google Scholar]
  • 12.Poorkaj P, Raskind WH, Leverenz JB, Matsushita M, Zabetian CP, Samii A, et al. A novel X-linked four-repeat tauopathy with Parkinsonism and spasticity. Movement disorders: official journal of the Movement Disorder Society. 2010;25(10):1409–17. Epub 2010/07/16. doi: 10.1002/mds.23085 ; PubMed Central PMCID: PMC3123999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Guillard M, Dimopoulou A, Fischer B, Morava E, Lefeber DJ, Kornak U, et al. Vacuolar H+-ATPase meets glycosylation in patients with cutis laxa. Biochimica et biophysica acta. 2009;1792(9):903–14. Epub 2009/01/28. doi: 10.1016/j.bbadis.2008.12.009 . [DOI] [PubMed] [Google Scholar]
  • 14.Kornak U, Reynders E, Dimopoulou A, van Reeuwijk J, Fischer B, Rajab A, et al. Impaired glycosylation and cutis laxa caused by mutations in the vesicular H+-ATPase subunit ATP6V0A2. Nature genetics. 2008;40(1):32–4. Epub 2007/12/25. doi: 10.1038/ng.2007.45 . [DOI] [PubMed] [Google Scholar]
  • 15.Alazami AM, Al-Qattan SM, Faqeih E, Alhashem A, Alshammari M, Alzahrani F, et al. Expanding the clinical and genetic heterogeneity of hereditary disorders of connective tissue. Human genetics. 2016;135(5):525–40. Epub 2016/03/30. doi: 10.1007/s00439-016-1660-z . [DOI] [PubMed] [Google Scholar]
  • 16.Fischer B, Dimopoulou A, Egerer J, Gardeitchik T, Kidd A, Jost D, et al. Further characterization of ATP6V0A2-related autosomal recessive cutis laxa. Human genetics. 2012;131(11):1761–73. Epub 2012/07/10. doi: 10.1007/s00439-012-1197-8 . [DOI] [PubMed] [Google Scholar]
  • 17.Kopan R, Ilagan MX. The canonical Notch signaling pathway: unfolding the activation mechanism. Cell. 2009;137(2):216–33. Epub 2009/04/22. doi: 10.1016/j.cell.2009.03.045 ; PubMed Central PMCID: PMC2827930. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Whitton B, Okamoto H, Packham G, Crabb SJ. Vacuolar ATPase as a potential therapeutic target and mediator of treatment resistance in cancer. Cancer medicine. 2018;7(8):3800–11. Epub 2018/06/22. doi: 10.1002/cam4.1594 ; PubMed Central PMCID: PMC6089187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pakkiriswami S, Couto A, Nagarajan U, Georgiou M. Glycosylated Notch and Cancer. Frontiers in oncology. 2016;6:37. Epub 2016/03/01. doi: 10.3389/fonc.2016.00037 ; PubMed Central PMCID: PMC4757683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Pamarthy S, Kulshrestha A, Katara GK, Beaman KD. The curious case of vacuolar ATPase: regulation of signaling pathways. Molecular cancer. 2018;17(1):41. Epub 2018/02/17. doi: 10.1186/s12943-018-0811-3 ; PubMed Central PMCID: PMC5815226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Stransky L, Cotter K, Forgac M. The Function of V-ATPases in Cancer. Physiological reviews. 2016;96(3):1071–91. Epub 2016/06/24. doi: 10.1152/physrev.00035.2015 ; PubMed Central PMCID: PMC4982037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Reya T, Clevers H. Wnt signalling in stem cells and cancer. Nature. 2005;434(7035):843–50. Epub 2005/04/15. doi: 10.1038/nature03319 . [DOI] [PubMed] [Google Scholar]
  • 23.He TC, Sparks AB, Rago C, Hermeking H, Zawel L, da Costa LT, et al. Identification of c-MYC as a target of the APC pathway. Science (New York, NY). 1998;281(5382):1509–12. Epub 1998/09/04. doi: 10.1126/science.281.5382.1509 . [DOI] [PubMed] [Google Scholar]
  • 24.Shtutman M, Zhurinsky J, Simcha I, Albanese C, D’Amico M, Pestell R, et al. The cyclin D1 gene is a target of the beta-catenin/LEF-1 pathway. Proceedings of the National Academy of Sciences of the United States of America. 1999;96(10):5522–7. Epub 1999/05/13. doi: 10.1073/pnas.96.10.5522 ; PubMed Central PMCID: PMC21892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Yamamoto H, Komekado H, Kikuchi A. Caveolin is necessary for Wnt-3a-dependent internalization of LRP6 and accumulation of beta-catenin. Developmental cell. 2006;11(2):213–23. Epub 2006/08/08. doi: 10.1016/j.devcel.2006.07.003 . [DOI] [PubMed] [Google Scholar]
  • 26.Jho EH, Zhang T, Domon C, Joo CK, Freund JN, Costantini F. Wnt/beta-catenin/Tcf signaling induces the transcription of Axin2, a negative regulator of the signaling pathway. Molecular and cellular biology. 2002;22(4):1172–83. Epub 2002/01/26. doi: 10.1128/MCB.22.4.1172-1183.2002 ; PubMed Central PMCID: PMC134648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Seto ES, Bellen HJ. Internalization is required for proper Wingless signaling in Drosophila melanogaster. The Journal of cell biology. 2006;173(1):95–106. Epub 2006/04/12. doi: 10.1083/jcb.200510123 ; PubMed Central PMCID: PMC2063794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Cotter K, Stransky L, McGuire C, Forgac M. Recent Insights into the Structure, Regulation, and Function of the V-ATPases. Trends in biochemical sciences. 2015;40(10):611–22. Epub 2015/09/28. doi: 10.1016/j.tibs.2015.08.005 ; PubMed Central PMCID: PMC4589219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bar-Peled L, Schweitzer LD, Zoncu R, Sabatini DM. Ragulator is a GEF for the rag GTPases that signal amino acid levels to mTORC1. Cell. 2012;150(6):1196–208. Epub 2012/09/18. doi: 10.1016/j.cell.2012.07.032 ; PubMed Central PMCID: PMC3517996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sancak Y, Bar-Peled L, Zoncu R, Markhard AL, Nada S, Sabatini DM. Ragulator-Rag complex targets mTORC1 to the lysosomal surface and is necessary for its activation by amino acids. Cell. 2010;141(2):290–303. Epub 2010/04/13. doi: 10.1016/j.cell.2010.02.024 ; PubMed Central PMCID: PMC3024592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zoncu R, Bar-Peled L, Efeyan A, Wang S, Sancak Y, Sabatini DM. mTORC1 senses lysosomal amino acids through an inside-out mechanism that requires the vacuolar H(+)-ATPase. Science (New York, NY). 2011;334(6056):678–83. Epub 2011/11/05. doi: 10.1126/science.1207056 ; PubMed Central PMCID: PMC3211112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.van der Velden YU, Wang L, Zevenhoven J, van Rooijen E, van Lohuizen M, Giles RH, et al. The serine-threonine kinase LKB1 is essential for survival under energetic stress in zebrafish. Proceedings of the National Academy of Sciences of the United States of America. 2011;108(11):4358–63. Epub 2011/03/04. doi: 10.1073/pnas.1010210108 ; PubMed Central PMCID: PMC3060253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ichihara A. (Pro)renin receptor and vacuolar H(+)-ATPase. The Keio journal of medicine. 2012;61(3):73–8. Epub 2012/09/29. doi: 10.2302/kjm.61.73 . [DOI] [PubMed] [Google Scholar]
  • 34.Cruciat CM, Ohkawara B, Acebron SP, Karaulanov E, Reinhard C, Ingelfinger D, et al. Requirement of prorenin receptor and vacuolar H+-ATPase-mediated acidification for Wnt signaling. Science (New York, NY). 2010;327(5964):459–63. Epub 2010/01/23. doi: 10.1126/science.1179802 . [DOI] [PubMed] [Google Scholar]
  • 35.Brunt L, Scholpp S. The function of endocytosis in Wnt signaling. Cellular and molecular life sciences: CMLS. 2018;75(5):785–95. Epub 2017/09/16. doi: 10.1007/s00018-017-2654-2 ; PubMed Central PMCID: PMC5809524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Yambire KF, Rostosky C, Watanabe T, Pacheu-Grau D, Torres-Odio S, Sanchez-Guerrero A, et al. Impaired lysosomal acidification triggers iron deficiency and inflammation in vivo. eLife. 2019;8. Epub 2019/12/04. doi: 10.7554/eLife.51031 ; PubMed Central PMCID: PMC6917501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Miles AL, Burr SP, Grice GL, Nathan JA. The vacuolar-ATPase complex and assembly factors, TMEM199 and CCDC115, control HIF1alpha prolyl hydroxylation by regulating cellular iron levels. eLife. 2017;6. Epub 2017/03/16. doi: 10.7554/eLife.22693 ; PubMed Central PMCID: PMC5391204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Weber RA, Yen FS, Nicholson SPV, Alwaseem H, Bayraktar EC, Alam M, et al. Maintaining Iron Homeostasis Is the Key Role of Lysosomal Acidity for Cell Proliferation. Molecular cell. 2020;77(3):645–55 e7. Epub 2020/01/28. doi: 10.1016/j.molcel.2020.01.003 ; PubMed Central PMCID: PMC7176020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sun-Wada G, Murata Y, Yamamoto A, Kanazawa H, Wada Y, Futai M. Acidic endomembrane organelles are required for mouse postimplantation development. Developmental biology. 2000;228(2):315–25. Epub 2000/12/09. doi: 10.1006/dbio.2000.9963 . [DOI] [PubMed] [Google Scholar]
  • 40.Singh PP, Arora J, Isambert H. Identification of Ohnolog Genes Originating from Whole Genome Duplication in Early Vertebrates, Based on Synteny Comparison across Multiple Genomes. PLoS computational biology. 2015;11(7):e1004394. Epub 2015/07/17. doi: 10.1371/journal.pcbi.1004394 ; PubMed Central PMCID: PMC4504502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Gaiano N, Amsterdam A, Kawakami K, Allende M, Becker T, Hopkins N. Insertional mutagenesis and rapid cloning of essential genes in zebrafish. Nature. 1996;383(6603):829–32. Epub 1996/10/31. doi: 10.1038/383829a0 . [DOI] [PubMed] [Google Scholar]
  • 42.Nuckels RJ, Ng A, Darland T, Gross JM. The vacuolar-ATPase complex regulates retinoblast proliferation and survival, photoreceptor morphogenesis, and pigmentation in the zebrafish eye. Investigative ophthalmology & visual science. 2009;50(2):893–905. Epub 2008/10/07. doi: 10.1167/iovs.08-2743 . [DOI] [PubMed] [Google Scholar]
  • 43.Yamakawa N, Vanbeselaere J, Chang LY, Yu SY, Ducrocq L, Harduin-Lepers A, et al. Systems glycomics of adult zebrafish identifies organ-specific sialylation and glycosylation patterns. Nature communications. 2018;9(1):4647. Epub 2018/11/09. doi: 10.1038/s41467-018-06950-3 ; PubMed Central PMCID: PMC6220181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Guerardel Y, Chang LY, Maes E, Huang CJ, Khoo KH. Glycomic survey mapping of zebrafish identifies unique sialylation pattern. Glycobiology. 2006;16(3):244–57. Epub 2005/12/03. doi: 10.1093/glycob/cwj062 . [DOI] [PubMed] [Google Scholar]
  • 45.Hanzawa K, Suzuki N, Natsuka S. Structures and developmental alterations of N-glycans of zebrafish embryos. Glycobiology. 2017;27(3):228–45. Epub 2016/12/10. doi: 10.1093/glycob/cww124 . [DOI] [PubMed] [Google Scholar]
  • 46.Rosner M, Schipany K, Hengstschlager M. p70 S6K1 nuclear localization depends on its mTOR-mediated phosphorylation at T389, but not on its kinase activity towards S6. Amino acids. 2012;42(6):2251–6. Epub 2011/06/29. doi: 10.1007/s00726-011-0965-4 . [DOI] [PubMed] [Google Scholar]
  • 47.Rosner M, Hengstschlager M. Nucleocytoplasmic localization of p70 S6K1, but not of its isoforms p85 and p31, is regulated by TSC2/mTOR. Oncogene. 2011;30(44):4509–22. Epub 2011/05/24. doi: 10.1038/onc.2011.165 . [DOI] [PubMed] [Google Scholar]
  • 48.Inoki K, Li Y, Zhu T, Wu J, Guan KL. TSC2 is phosphorylated and inhibited by Akt and suppresses mTOR signalling. Nature cell biology. 2002;4(9):648–57. Epub 2002/08/13. doi: 10.1038/ncb839 . [DOI] [PubMed] [Google Scholar]
  • 49.Li YH, Luo J, Mosley YY, Hedrick VE, Paul LN, Chang J, et al. AMP-Activated Protein Kinase Directly Phosphorylates and Destabilizes Hedgehog Pathway Transcription Factor GLI1 in Medulloblastoma. Cell reports. 2015;12(4):599–609. Epub 2015/07/21. doi: 10.1016/j.celrep.2015.06.054 ; PubMed Central PMCID: PMC4521589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Ofer S, Fibach E, Kessel M, Bauminger ER, Cohen SG, Eikelboom J, et al. Iron incorporation into ferritin and hemoglobin during differentiation of murine erythroleukemia cells. Blood. 1981;58(2):255–62. Epub 1981/08/01. . [PubMed] [Google Scholar]
  • 51.Mookerjee SA, Gerencser AA, Nicholls DG, Brand MD. Quantifying intracellular rates of glycolytic and oxidative ATP production and consumption using extracellular flux measurements. The Journal of biological chemistry. 2017;292(17):7189–207. Epub 2017/03/09. doi: 10.1074/jbc.M116.774471 ; PubMed Central PMCID: PMC5409486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Symersky J, Osowski D, Walters DE, Mueller DM. Oligomycin frames a common drug-binding site in the ATP synthase. Proceedings of the National Academy of Sciences of the United States of America. 2012;109(35):13961–5. Epub 2012/08/08. doi: 10.1073/pnas.1207912109 ; PubMed Central PMCID: PMC3435195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Peri S, Kulkarni A, Feyertag F, Berninsone PM, Alvarez-Ponce D. Phylogenetic Distribution of CMP-Neu5Ac Hydroxylase (CMAH), the Enzyme Synthetizing the Proinflammatory Human Xenoantigen Neu5Gc. Genome biology and evolution. 2018;10(1):207–19. Epub 2017/12/06. doi: 10.1093/gbe/evx251 ; PubMed Central PMCID: PMC5767959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Fisher P, Spencer H, Thomas-Oates J, Wood AJ, Ungar D. Modeling Glycan Processing Reveals Golgi-Enzyme Homeostasis upon Trafficking Defects and Cellular Differentiation. Cell reports. 2019;27(4):1231–43 e6. Epub 2019/04/25. doi: 10.1016/j.celrep.2019.03.107 ; PubMed Central PMCID: PMC6486481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Udono M, Fujii K, Harada G, Tsuzuki Y, Kadooka K, Zhang P, et al. Impaired ATP6V0A2 expression contributes to Golgi dispersion and glycosylation changes in senescent cells. Scientific reports. 2015;5:17342. Epub 2015/11/28. doi: 10.1038/srep17342 ; PubMed Central PMCID: PMC4661525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Stanley P. Golgi glycosylation. Cold Spring Harbor perspectives in biology. 2011;3(4). Epub 2011/03/29. doi: 10.1101/cshperspect.a005199 ; PubMed Central PMCID: PMC3062213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Kooner AS, Yu H, Chen X. Synthesis of N-Glycolylneuraminic Acid (Neu5Gc) and Its Glycosides. Frontiers in immunology. 2019;10:2004. Epub 2019/09/27. doi: 10.3389/fimmu.2019.02004 ; PubMed Central PMCID: PMC6724515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nagano M, Toshima JY, Siekhaus DE, Toshima J. Rab5-mediated endosome formation is regulated at the trans-Golgi network. Communications biology. 2019;2:419. Epub 2019/11/23. doi: 10.1038/s42003-019-0670-5 ; PubMed Central PMCID: PMC6858330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Webb BA, Aloisio FM, Charafeddine RA, Cook J, Wittmann T, Barber DL. pHLARE: a new biosensor reveals decreased lysosome pH in cancer cells. Molecular biology of the cell. 2021;32(2):131–42. Epub 2020/11/26. doi: 10.1091/mbc.E20-06-0383 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Liu FY, Hsu TC, Choong P, Lin MH, Chuang YJ, Chen BS, et al. Uncovering the regeneration strategies of zebrafish organs: a comprehensive systems biology study on heart, cerebellum, fin, and retina regeneration. BMC systems biology. 2018;12(Suppl 2):29. Epub 2018/03/22. doi: 10.1186/s12918-018-0544-3 ; PubMed Central PMCID: PMC5861487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Korolchuk VI, Saiki S, Lichtenberg M, Siddiqi FH, Roberts EA, Imarisio S, et al. Lysosomal positioning coordinates cellular nutrient responses. Nature cell biology. 2011;13(4):453–60. Epub 2011/03/12. doi: 10.1038/ncb2204 ; PubMed Central PMCID: PMC3071334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Juhasz G. Interpretation of bafilomycin, pH neutralizing or protease inhibitor treatments in autophagic flux experiments: novel considerations. Autophagy. 2012;8(12):1875–6. Epub 2012/08/10. doi: 10.4161/auto.21544 ; PubMed Central PMCID: PMC3541311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Abu-Remaileh M, Wyant GA, Kim C, Laqtom NN, Abbasi M, Chan SH, et al. Lysosomal metabolomics reveals V-ATPase- and mTOR-dependent regulation of amino acid efflux from lysosomes. Science (New York, NY). 2017;358(6364):807–13. Epub 2017/10/28. doi: 10.1126/science.aan6298 ; PubMed Central PMCID: PMC5704967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Karni R, de Stanchina E, Lowe SW, Sinha R, Mu D, Krainer AR. The gene encoding the splicing factor SF2/ASF is a proto-oncogene. Nature structural & molecular biology. 2007;14(3):185–93. Epub 2007/02/21. doi: 10.1038/nsmb1209 ; PubMed Central PMCID: PMC4595851. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Voronov I, Ochotny N, Jaumouille V, Owen C, Manolson MF, Aubin JE. The R740S mutation in the V-ATPase a3 subunit increases lysosomal pH, impairs NFATc1 translocation, and decreases in vitro osteoclastogenesis. Journal of bone and mineral research: the official journal of the American Society for Bone and Mineral Research. 2013;28(1):108–18. Epub 2012/08/07. doi: 10.1002/jbmr.1727 . [DOI] [PubMed] [Google Scholar]
  • 66.Hu Y, Carraro-Lacroix LR, Wang A, Owen C, Bajenova E, Corey PN, et al. Lysosomal pH Plays a Key Role in Regulation of mTOR Activity in Osteoclasts. Journal of cellular biochemistry. 2016;117(2):413–25. Epub 2015/07/28. doi: 10.1002/jcb.25287 . [DOI] [PubMed] [Google Scholar]
  • 67.Wang A, Carraro-Lacroix LR, Owen C, Gao B, Corey PN, Tyrrell P, et al. Activity-independent targeting of mTOR to lysosomes in primary osteoclasts. Scientific reports. 2017;7(1):3005. Epub 2017/06/09. doi: 10.1038/s41598-017-03494-2 ; PubMed Central PMCID: PMC5462732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Tuttle AM, Hoffman TL, Schilling TF. Rabconnectin-3a regulates vesicle endocytosis and canonical Wnt signaling in zebrafish neural crest migration. PLoS biology. 2014;12(5):e1001852. Epub 2014/05/08. doi: 10.1371/journal.pbio.1001852 ; PubMed Central PMCID: PMC4011682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Yan Y, Shen L, Chen Y, Bao S, Thong Z, Yu H. A MYB-domain protein EFM mediates flowering responses to environmental cues in Arabidopsis. Developmental cell. 2014;30(4):437–48. Epub 2014/08/19. doi: 10.1016/j.devcel.2014.07.004 . [DOI] [PubMed] [Google Scholar]
  • 70.Platt FM, Boland B, van der Spoel AC. The cell biology of disease: lysosomal storage disorders: the cellular impact of lysosomal dysfunction. The Journal of cell biology. 2012;199(5):723–34. Epub 2012/11/28. doi: 10.1083/jcb.201208152 ; PubMed Central PMCID: PMC3514785. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Parkinson-Lawrence EJ, Shandala T, Prodoehl M, Plew R, Borlace GN, Brooks DA. Lysosomal storage disease: revealing lysosomal function and physiology. Physiology (Bethesda, Md). 2010;25(2):102–15. Epub 2010/05/01. doi: 10.1152/physiol.00041.2009 . [DOI] [PubMed] [Google Scholar]
  • 72.Zlamy M, Hofstatter J, Albrecht U, Baumgartner S, Haberlandt E, Scholl-Burgi S, et al. The value of axillary skin electron microscopic analysis in the diagnosis of lysosomal storage disorders. Modern pathology: an official journal of the United States and Canadian Academy of Pathology, Inc. 2019;32(6):755–63. Epub 2019/02/07. doi: 10.1038/s41379-019-0201-4 . [DOI] [PubMed] [Google Scholar]
  • 73.Lafourcade C, Sobo K, Kieffer-Jaquinod S, Garin J, van der Goot FG. Regulation of the V-ATPase along the endocytic pathway occurs through reversible subunit association and membrane localization. PloS one. 2008;3(7):e2758. Epub 2008/07/24. doi: 10.1371/journal.pone.0002758 ; PubMed Central PMCID: PMC2447177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Sobo K, Chevallier J, Parton RG, Gruenberg J, van der Goot FG. Diversity of raft-like domains in late endosomes. PloS one. 2007;2(4):e391. Epub 2007/04/27. doi: 10.1371/journal.pone.0000391 ; PubMed Central PMCID: PMC1851096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Huotari J, Helenius A. Endosome maturation. The EMBO journal. 2011;30(17):3481–500. Epub 2011/09/01. doi: 10.1038/emboj.2011.286 ; PubMed Central PMCID: PMC3181477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Kitatani K, Idkowiak-Baldys J, Hannun YA. The sphingolipid salvage pathway in ceramide metabolism and signaling. Cellular signalling. 2008;20(6):1010–8. Epub 2008/01/15. doi: 10.1016/j.cellsig.2007.12.006 ; PubMed Central PMCID: PMC2422835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Campanella M, Parker N, Tan CH, Hall AM, Duchen MR. IF(1): setting the pace of the F(1)F(o)-ATP synthase. Trends in biochemical sciences. 2009;34(7):343–50. Epub 2009/06/30. doi: 10.1016/j.tibs.2009.03.006 . [DOI] [PubMed] [Google Scholar]
  • 78.Campanella M, Casswell E, Chong S, Farah Z, Wieckowski MR, Abramov AY, et al. Regulation of mitochondrial structure and function by the F1Fo-ATPase inhibitor protein, IF1. Cell metabolism. 2008;8(1):13–25. Epub 2008/07/02. doi: 10.1016/j.cmet.2008.06.001 . [DOI] [PubMed] [Google Scholar]
  • 79.Kanaporis G, Treinys R, Fischmeister R, Jurevicius J. Metabolic inhibition reduces cardiac L-type Ca2+ channel current due to acidification caused by ATP hydrolysis. PloS one. 2017;12(8):e0184246. Epub 2017/09/01. doi: 10.1371/journal.pone.0184246 ; PubMed Central PMCID: PMC5578678. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Baker N, Hamilton G, Wilkes JM, Hutchinson S, Barrett MP, Horn D. Vacuolar ATPase depletion affects mitochondrial ATPase function, kinetoplast dependency, and drug sensitivity in trypanosomes. Proceedings of the National Academy of Sciences of the United States of America. 2015;112(29):9112–7. Epub 2015/07/08. doi: 10.1073/pnas.1505411112 ; PubMed Central PMCID: PMC4517229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Abrigo J, Simon F, Cabrera D, Vilos C, Cabello-Verrugio C. Mitochondrial Dysfunction in Skeletal Muscle Pathologies. Current protein & peptide science. 2019;20(6):536–46. Epub 2019/04/06. doi: 10.2174/1389203720666190402100902 . [DOI] [PubMed] [Google Scholar]
  • 82.Harvey SA, Sealy I, Kettleborough R, Fenyes F, White R, Stemple D, et al. Identification of the zebrafish maternal and paternal transcriptomes. Development (Cambridge, England). 2013;140(13):2703–10. Epub 2013/05/31. doi: 10.1242/dev.095091 ; PubMed Central PMCID: PMC3678340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Rahlouni F, Szarka S, Shulaev V, Prokai L. A Survey of the Impact of Deyolking on Biological Processes Covered by Shotgun Proteomic Analyses of Zebrafish Embryos. Zebrafish. 2015;12(6):398–407. Epub 2015/10/07. doi: 10.1089/zeb.2015.1121 ; PubMed Central PMCID: PMC4677515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Link V, Shevchenko A, Heisenberg CP. Proteomics of early zebrafish embryos. BMC developmental biology. 2006;6:1. Epub 2006/01/18. doi: 10.1186/1471-213X-6-1 ; PubMed Central PMCID: PMC1363346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Lawrence C, Sanders GE, Varga ZM, Baumann DP, Freeman A, Baur B, et al. Regulatory compliance and the zebrafish. Zebrafish. 2009;6(4):453–6. Epub 2009/11/18. doi: 10.1089/zeb.2009.0595 . [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Westerfield M, Doerry E, Kirkpatrick AE, Douglas SA. Zebrafish informatics and the ZFIN database. Methods in cell biology. 1999;60:339–55. Epub 1999/01/19. doi: 10.1016/s0091-679x(08)61909-3 . [DOI] [PubMed] [Google Scholar]
  • 87.Amsterdam A, Nissen RM, Sun Z, Swindell EC, Farrington S, Hopkins N. Identification of 315 genes essential for early zebrafish development. Proceedings of the National Academy of Sciences of the United States of America. 2004;101(35):12792–7. Epub 2004/07/17. doi: 10.1073/pnas.0403929101 ; PubMed Central PMCID: PMC516474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Boel A, Steyaert W, De Rocker N, Menten B, Callewaert B, De Paepe A, et al. BATCH-GE: Batch analysis of Next-Generation Sequencing data for genome editing assessment. Scientific reports. 2016;6:30330. Epub 2016/07/28. doi: 10.1038/srep30330 ; PubMed Central PMCID: PMC4962088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Gistelinck C, Witten PE, Huysseune A, Symoens S, Malfait F, Larionova D, et al. Loss of Type I Collagen Telopeptide Lysyl Hydroxylation Causes Musculoskeletal Abnormalities in a Zebrafish Model of Bruck Syndrome. Journal of bone and mineral research: the official journal of the American Society for Bone and Mineral Research. 2016;31(11):1930–42. Epub 2016/10/25. doi: 10.1002/jbmr.2977 ; PubMed Central PMCID: PMC5364950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nature methods. 2012;9(7):676–82. Epub 2012/06/30. doi: 10.1038/nmeth.2019 ; PubMed Central PMCID: PMC3855844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Wang M, Sips P, Khin E, Rotival M, Sun X, Ahmed R, et al. Wars2 is a determinant of angiogenesis. Nature communications. 2016;7:12061. Epub 2016/07/09. doi: 10.1038/ncomms12061 ; PubMed Central PMCID: PMC4941120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Shin JT, Pomerantsev EV, Mably JD, MacRae CA. High-resolution cardiovascular function confirms functional orthology of myocardial contractility pathways in zebrafish. Physiological genomics. 2010;42(2):300–9. Epub 2010/04/15. doi: 10.1152/physiolgenomics.00206.2009 ; PubMed Central PMCID: PMC3032279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Gistelinck C, Kwon RY, Malfait F, Symoens S, Harris MP, Henke K, et al. Zebrafish type I collagen mutants faithfully recapitulate human type I collagenopathies. Proceedings of the National Academy of Sciences of the United States of America. 2018;115(34):E8037–E46. Epub 2018/08/08. doi: 10.1073/pnas.1722200115 ; PubMed Central PMCID: PMC6112716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Isogai S, Horiguchi M, Weinstein BM. The vascular anatomy of the developing zebrafish: an atlas of embryonic and early larval development. Developmental biology. 2001;230(2):278–301. Epub 2001/02/13. doi: 10.1006/dbio.2000.9995 . [DOI] [PubMed] [Google Scholar]
  • 95.Huysseune A, Sire JY. Bone and cartilage resorption in relation to tooth development in the anterior part of the mandible in cichlid fish: a light and TEM study. The Anatomical record. 1992;234(1):1–14. Epub 1992/09/01. doi: 10.1002/ar.1092340102 . [DOI] [PubMed] [Google Scholar]
  • 96.Delbaere S, Van Damme T, Syx D, Symoens S, Coucke P, Willaert A, et al. Hypomorphic zebrafish models mimic the musculoskeletal phenotype of beta4GalT7-deficient Ehlers-Danlos syndrome. Matrix biology: journal of the International Society for Matrix Biology. 2019. Epub 2019/12/22. doi: 10.1016/j.matbio.2019.12.002 . [DOI] [PubMed] [Google Scholar]
  • 97.Ibhazehiebo K, Gavrilovici C, de la Hoz CL, Ma SC, Rehak R, Kaushik G, et al. A novel metabolism-based phenotypic drug discovery platform in zebrafish uncovers HDACs 1 and 3 as a potential combined anti-seizure drug target. Brain: a journal of neurology. 2018;141(3):744–61. Epub 2018/01/27. doi: 10.1093/brain/awx364 ; PubMed Central PMCID: PMC5837409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Stackley KD, Beeson CC, Rahn JJ, Chan SS. Bioenergetic profiling of zebrafish embryonic development. PloS one. 2011;6(9):e25652. Epub 2011/10/08. doi: 10.1371/journal.pone.0025652 ; PubMed Central PMCID: PMC3183059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Zhang JL, Laurence Souders C, 2nd, Denslow ND, Martyniuk CJ. Quercetin, a natural product supplement, impairs mitochondrial bioenergetics and locomotor behavior in larval zebrafish (Danio rerio). Toxicology and applied pharmacology. 2017;327:30–8. Epub 2017/04/30. doi: 10.1016/j.taap.2017.04.024 . [DOI] [PubMed] [Google Scholar]
  • 100.Di Tommaso P, Chatzou M, Floden EW, Barja PP, Palumbo E, Notredame C. Nextflow enables reproducible computational workflows. Nature biotechnology. 2017;35(4):316–9. Epub 2017/04/12. doi: 10.1038/nbt.3820 . [DOI] [PubMed] [Google Scholar]
  • 101.Wang L, Wang S, Li W. RSeQC: quality control of RNA-seq experiments. Bioinformatics (Oxford, England). 2012;28(16):2184–5. Epub 2012/06/30. doi: 10.1093/bioinformatics/bts356 . [DOI] [PubMed] [Google Scholar]
  • 102.Ewels P, Magnusson M, Lundin S, Kaller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics (Oxford, England). 2016;32(19):3047–8. Epub 2016/06/18. doi: 10.1093/bioinformatics/btw354 ; PubMed Central PMCID: PMC5039924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics (Oxford, England). 2013;29(1):15–21. Epub 2012/10/30. doi: 10.1093/bioinformatics/bts635 ; PubMed Central PMCID: PMC3530905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics (Oxford, England). 2014;30(7):923–30. Epub 2013/11/15. doi: 10.1093/bioinformatics/btt656 . [DOI] [PubMed] [Google Scholar]
  • 105.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome biology. 2014;15(12):550. Epub 2014/12/18. doi: 10.1186/s13059-014-0550-8 ; PubMed Central PMCID: PMC4302049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Luo W, Friedman MS, Shedden K, Hankenson KD, Woolf PJ. GAGE: generally applicable gene set enrichment for pathway analysis. BMC bioinformatics. 2009;10:161. Epub 2009/05/29. doi: 10.1186/1471-2105-10-161 ; PubMed Central PMCID: PMC2696452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Xia J, Wishart DS. Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis. Current protocols in bioinformatics. 2016;55:14 0 1–0 91. Epub 2016/09/08. doi: 10.1002/cpbi.11 . [DOI] [PubMed] [Google Scholar]
  • 108.Chong J, Wishart DS, Xia J. Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis. Current protocols in bioinformatics. 2019;68(1):e86. Epub 2019/11/23. doi: 10.1002/cpbi.86 . [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Gregory S Barsh, Zsolt Urban

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

5 Dec 2020

Dear Dr Callewaert,

Thank you very much for submitting your Research Article entitled 'Loss of a subunit of vacuolar ATPase identifies unexpected biological signatures of reduced organelle acidification in vivo' to PLOS Genetics.

The manuscript was fully evaluated at the editorial level and by 4 independent peer reviewers. The reviewers appreciated the attention to an important problem, but raised some substantial concerns about the current manuscript. Based on the reviews, we will not be able to accept this version of the manuscript, but we would be willing to review a much-revised version. We cannot, of course, promise publication at that time.

Should you decide to revise the manuscript for further consideration here, your revisions should address the specific points made by each reviewer. We will also require a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript.

If you decide to revise the manuscript for further consideration at PLOS Genetics, please aim to resubmit within the next 60 days, unless it will take extra time to address the concerns of the reviewers, in which case we would appreciate an expected resubmission date by email to plosgenetics@plos.org.

Accompanying reviewer attachments are included with this email; please notify the journal office if any appear to be missing. They will also be available for download from the link below. You can use this link to log into the system when you are ready to submit a revised version, having first consulted our Submission Checklist.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see our guidelines.

Please be aware that our data availability policy requires that all numerical data underlying graphs or summary statistics are included with the submission, and you will need to provide this upon resubmission if not already present. In addition, we do not permit the inclusion of phrases such as "data not shown" or "unpublished results" in manuscripts. All points should be backed up by data provided with the submission.

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool.  PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

PLOS has incorporated Similarity Check, powered by iThenticate, into its journal-wide submission system in order to screen submitted content for originality before publication. Each PLOS journal undertakes screening on a proportion of submitted articles. You will be contacted if needed following the screening process.

To resubmit, use the link below and 'Revise Submission' in the 'Submissions Needing Revision' folder.

[LINK]

We look forward to seeing your revised manuscript. Please do not hesitate to contact us if you have any concerns or questions.

Yours sincerely,

Zsolt Urban, Ph.D.

Guest Editor

PLOS Genetics

Gregory Barsh

Editor-in-Chief

PLOS Genetics

Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1

Please find enclosed the comments to the research article “Loss of a subunit of vacuolar ATPase identifies unexpected biological signatures of reduced organelle acidification in vivo, PGENETICS-D-20-01563” submitted for publication in PLOS Genetics by Bert Callewaert and colleagues. The paper comprises a set of interesting data important for a better understanding of cutis laxa conditions from a pathophysiological perspective. Furthermore, these date show that interfering with v-ATPase function in vivo also changes several pathways not obviously connected to this protein complex.

Major points:

The title to me would benefit from mentioning the organism analyzed and the deficient gene.

Introduction.

This section provides the reader with the function of the v-ATPase in general, with a broad list of mendelian conditions due to pathogenic variants affecting v-ATPase subunits and many pathways connected to this protein complex function. Some of these information’s are not necessary for the present paper and should be removed. Additionally, some of the knowledge presented here, is not further used throughout the manuscript/discussion and some of the pathways mentioned and very likely related to the multisystem phenotype in cutis laxa (e.g. AMPK) were unfortunately not investigated in the present in vivo model. Additionally, no information on tissue specific expression/assembly of different v-ATPase components have been provided which could be important for the discussion of the results. I recommend a restructuration of the introduction to allow the reader a better understanding of the project performed and to provide a more focused basis for the data and their discussion.

Results

- In supplementary figure 1, the effect of the mRNA expression in both zebrafish lines have been analyzed. Additionally, both lines lead to a strong reduction of the mRNA. Have the authors tested the protein expression? I know about the problem that sometimes no working antibodies are available for zebrafish, however, ATP6V1E1 is highly conserved. Maybe one of the described antibodies work.

- Have the authors observed a less severe phenotype in the line with the insertion within the 5’UTR. For example the vascular phenotype seems to be less severe. There is still some mRNA left which, due to the fact that the ORF should be intact, might get translated into active protein. Can the authors comment on that and include some words into the discussion?

- A more intuitive presentation of the EM data showing the matrix alterations would be of help. Can the authors show all the pictures in the same orientation?

- Complex glycan structures: It is not clear why some of the lines investigated (3/4) do not show any presens of these structures. Is this only due to the scaling of the y axis or are these structures not present at all. If so, why is the glycosylation phenotype more pronounce in the line carrying the frameshift (see above, differences of the manifestations) Can the authors discuss this point also with respect to potential Golgi abnormalities (see below)?

- The point about the endosomal and lysosomal alterations is to strong and not conclusively supported by the data. The alteration on EEA1 is impressive, however, the changes on Rab5 and Lamp1 seem to be minor. Additionally, have the author investigated the localization/morphology of these vesicles. Immunostaining of these markers (especially EEA1 and Lamp1) should be possible. The lysotracker staining is impressive. However, it is not immediately clear which part of the larvae was imaged. Could the authors show the structure by dotted lines within the picture or is a quantification possible? I do agree about alteration within the endosomal and lysosomal system, which is somewhat expected, however, I suggest weakening the point a bit.

- The analysis of the HIF target genes and the rescue experiments are interesting. I understand the point that the analysis of the iron “uptake” is crucial. However, from my point of view this seems not be altered at all. This to me leads to some lack of clarity within the complete manuscript. Focusing on the strongly altered pathways identified would lead to more clarity.

- The transcriptome analysis provides a lot of relevant information into the mechanisms leading to CL. The authors state, that the main candidate genes mentioned in the introduction were only minorly changed. Have the authors validated some of the candidates (OXPHOS….) and these initially mentioned genes pointing into distinct pathways (mTOR, AMPK) by qPCR? Additionally, changes in these pathways are not necessarily detectable via transcriptomics. For Notch, mTOR and AMPK signaling, good antibody kits are available which could help to identify potential misregulations/activations of them. Did the authors perform comparative proteomics?

- The lipidomics data are interesting. As a non-expert in zebrafish biology I was wondering where developmentally the origin of the yolk is. Due to the fertilization process this is very likely produced within the fish egg. If so, are these finding rather due to altered egg synthesis/composition of the yolk provided by the heterozygous mother? Have the authors found similar changes in specific celltypes of the larvae itself?

- The OCR data presented are interesting. To me, and in comparison, to some literature the reaction to Rotenone/Antimycin seems relatively slow. Can the authors state on this?

- One cellular feature observed in ATP6V1E1 related CL was a dilated Golgi. Did the authors found any evidence for this in the EM data or using immunolabeling?

Discussion:

The discussion at many points recapitulates the findings presented within the results section. Additionally, the strong focus on the expected, but not found iron related phenotypes gives the paper a strong imbalance towards this point. Other features observed (e.g. hypotonia) were not discussed at all especial in relation to the mitochondrial alterations.

The discussion about the relation of v-ATPase and cancer is interesting, however, to me it is not clear why this point is so extensively discussed.

Finally, the data presented are interesting and relevant. I recomment to restructure the complete manuscript with a focus on the altered pathways identified. I suggest starting with the presentation of the phenotype, glycosylation abnormalities and continue right away with the transcriptomics. From there, the argumentation towards the mitochondrial alterations, for example, are clear. All the findings should be discussed in more detail in relation and in comparison to physiological processes and to the human disease.

Minor points:

Sometimes it is not immediately clear how many animals have been subjected to each analysis and how many technical replicates have been performed. This should be carefully checked throughout all datasets

In some datasets two WT lines have been analyzed whereas the second line is missing in some other sets of data. Why haven’t both control lines been used consequently?

In some cases the figure reference within the text doesn’t fit to the data presented in the figures (Example: In addition, downregulation of elnb expression (Figure 2A+2B+) occurred in both mutant zebrafish lines)

Reviewer #2

The authors describe their findings on two Atp6v1eb zebrafish models, one that they generated using CRIPR-Cas9, and one obtained from ZIRC. Both mutant lines show severe phenotype that include reduced survival rates, impaired touch-evoked escape response, maxillary and mandibular hypoplasia, vascular abnormalities, and some indication of cardiac abnormalities. Overall the phenotypic characterization of the two genetic mutants are useful for future therapeutic explorations. The ~omics profiling is excellent.

Major Comments:

1. The authors have shown increased total EEA1 and ~reduced Rab7 levels by western blot. These results, however, do not necessarily suggest impaired endosomal maturation, and could not support a strong interpretation that deficiency of v-ATPase plays a prominent role in the maturation of endo(lyso)somes, nor that they have shown mechanistically that in vivo genetic depletion of atp6v1e1b leads to .. reduced maturation of endosomal and lysosomal vesicles. They also refer to a paper that reviews vesicular acidification and v-ATPase, among other things, but no association with endolysosomal maturation. To support the conclusion of reduced endolysosomal maturation, the authors would need to show the levels membrane-bound endosomal markers as compared to cytosolic membrane markers. An alternative would be to show confocal images of these markers, or to show accumulation of cargos that go through the endosomal pathway.

2. Although a hypothesis that LOF of Atp6v1eb in zebrafish leads to reduced acidification is not unexpected, the authors only showed lysotracker staining. This result will be strengthened by measurement of pH in lysosomes, or endolysosomal compartments.

3. The authors showed that FAC treatment did not rescue the survival rates of the two zebrafish mutants; also their data seem to indicate that there is no induction of HIF. It isn’t clear to me which dataset the authors used to support their initial hypothesis in pursuing this pathway, other than the previous report on ATP6V0 subunit. Are the authors thinking that the entire V-ATPase complex is destabilized upon loss of Atp6v1eb in zebrafish, or do they have results to show this? Do they have data showing reduced iron levels in their zebrafish models?

4. As a follow up to the previous question, I do not follow the seemingly surprising finding that there is a lack of hypoxia-mediated response in vivo. In human patients, there is an increased in trisialotransferrin, but I do not see similar data in the zebrafish – is transferrin abnormalities also seen in mutant Atp6v1eb zebrafish? In addition, there is no data showing detection of intracellular iron amounts in zebrafish mutants, that could potentially lead to HIF-mediated response.

5. The authors wrote, “Our data suggest alternative routes, bypassing the transferrin receptor pathway, to deliver iron to mitochondria in vivo” – but there is no evidence to suggest this.

Minor comments:

1. Mitochondrial profiling

a. Upon treatment of oligomycin, the OCR levels in the mutants were increased. How do the authors explain these results, given the reduced baseline OCR levels (which could indicate low ATP production.

2. Glycosylation profile:

a. What’s the significance of high mannose species in the mutant zebrafish lines? Does this correlate to an abnormal Golgi function since these species are glycoforms that indicate pre-Golgi processing?

b. The data seem to indicate that changes in complex glycans are more than the change in high mannose species – is this the case?

c. How would the author explain the differences in glycosylation pattern between the two mutant zebrafish lines? And Why is there a difference in the terminal sialic acid in the two mutant lines

3. Lipidomics

a. How do the authors interpret the increased amounts of DCER, but not CER.

4. Staining/phenotyping

a. Some of the figures are difficult to appreciate. For example, I really do not see the dilated mitochondria. It is not clear if both Atp6v1eb mutants have similarly coiled basement membrane. It isn’t clear if the authors are referring to loss of collagen structures – because the images seem to show some disorganization of the bundles

b. The lysotracker staining isn’t clear. The authors would need to show what area of the fish is stained, and which cells are stained.

c. Alcian blue showed maxillary and mandibular hypoplasia in both mutant zebrafish - Alcian blue shows reduced staining pattern – does this indicate bone cell abnormalities?

d. Some of the data describing survival show datapoints up to 150 dpf. I thought the mutants only survived up to 8 dpf?

5. How would you explain the reduced amount of collagen or elastin transcripts? Were these findings also seen in the transcriptomics studies?

Reviewer #3

The manuscript “Loss of a subunit of vacuolar ATPase identifies unexpected biological signatures of reduced organelle acifidication in vivo” by Lore P. et al. describes the various phenotypes of zebrafish atp6v1e1b KO mutant. The authors showed lots of data (transcriptome and metabolome) and I think that the manuscript seems to be interesting as it identified the roles of vacuolar ATPase function, but to be quite descriptive. Although the authors expressed their results as “unexpected biological signatures” in the title, almost all results in this manuscript are the “expected biological signatures” from the previous results in other model systems and human diseases. I think that the most important point in this manuscript is connection between organelle acidification through the vATPase and mitochondrial respiration. Are these two phenomena (organelle acidification by vATPase and mitochondrial respiration) tightly linked each other or is the mitochondrial respiration just side effect? I think the direct connection between them in cellular & molecular levels (some mechanistic analyses) is needed for publication in PLOS Genetics.

A minor point

In this manuscript, the authors mentioned that gene expression profile (HIF1a, Notch, Wnt, and mTOR signaling) in zebrafish atp6v1e1b KO mutant is different from that in in vitro systems. But there are two atp6v1e1 genes, atp6v1e1a and atp6v1e1b in zebrafish. Thus, they should discuss about this point.

Reviewer #4: In this work, the authors use mutant zebrafish larvae to investigate the physiological and cellular impacts of loss of function of the Atp6v1e1b subunit of the V-ATPase complex that pumps protons against concentration gradients. Interestingly, atp6v1e1b-/- mutant zebrafish develop several phenotypes—including craniofacial defects, cardiovascular defects, epidermal/skin defects, and protein glycosylation defects—that are reminiscent of problems observed in human patients with cutis laxa caused by mutations in ATP6V1E. The characterization and quantification of these phenotypes in zebrafish larvae, using two distinct atp6v1e1b-/- mutant lines, is comprehensive and convincing. These results suggest atp6v1e1b-/- mutant zebrafish provide a useful new animal model to study mechanisms underlying cutis laxa. The authors go on to use omics approaches to assess global changes in transcription, metabolism, and lipids in atp6v1e1b-/- mutants. These results give a broad overview of changes that occur in the mutants, and suggest several pathways/processes that are altered. A pharmacological approach is used to test whether targeting some of these processes could ameliorate phenotypes, but upon observing no positive effects, the authors conclude that targeting a single pathway is not sufficient to improve defects induced by loss of Atp6v1e1b. Overall, this work contributes to our understanding of in vivo consequences of altered V-ATPase function, but limitations of the global approach (pointed out below) appear to have prevented the authors from using their omics datasets to identify mechanisms that underlie specific phenotypes seen in mutant zebrafish (and human patients). Specific points are outlined below.

Major points:

1) There are a few caveats to using zebrafish genetics that should be clarified. One is that there are two zebrafish genes that encode for the V1E subunit-- atp6v1e1a and atp6v1e1b. It is not clear what cell types express either of these genes, and whether expression is overlapping (which may suggest functional redundancy) or cell-type specific. Clearly there are significant phenotypes and lethality in atp6v1e1b-/- mutants, but the atp6v1e1a gene should be discussed.

2) A second caveat is that V-ATPase subunits are maternally supplied (mRNA and possibly protein). This maternal supply is likely the reason why mutant embryos can develop relatively normally for the first couple of days and survive up to 8 days. The gradual onset of phenotypes in mutants suggests a gradual loss of maternal supply. Thus, it is not clear how much of the maternal Atp6v1e1b protein supply is depleted at 3 dpf when the global omics studies were done. This should be discussed.

3) A limitation to this study is that whole larvae were used to assess changes transcription, metabolism, lipids, and glycosylation. While V-ATPase probably has global cellular ‘house keeping’ functions, it is also likely that cell-type specific functions regulate processes such as Fe availability, hypoxia response, and signaling (mTOR, Notch, Wnt, etc) that underlie specific phenotypes. The authors touch on this in the Discussion, but this point could be expanded. Future work using cell-type specific approaches may uncover differences in mutants that shed light on mechanisms underlying mutant phenotypes in a given cell type.

Minor points:

1) For the retroviral insertion allele, I would predict the insertion in the 5’ UTR would interfere with mRNA transcription, and not induce NMD as stated. This should be clarified.

2) In Sup Fig 1C, is this dpf or hpf? The text indicates mutants only survive 8 days.

3) Pericardial edema in Fig 1A should be pointed out with an arrow.

4) For most analyses, the two atp6v1e1b-/- mutants have identical phenotypes. There are two exceptions reported: blood flow (Fig 1G) and complex N-glycans (Fig 2G) were altered in one mutant but not the other. It would be useful to comment on differences between the mutants.

5) With regard to the possibility of specific spatial and temporal functions for atp6v1e1b (see major points 1-3 above), it should be clarified what cell type and what stage of development we are looking at in Sup Fig 2G.

**********

Have all data underlying the figures and results presented in the manuscript been provided?

Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #4: None

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

Decision Letter 1

Gregory S Barsh, Zsolt Urban

28 Mar 2021

Dear Dr Callewaert,

Thank you very much for submitting your Research Article entitled 'Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2 syndrome and identifies multiple pathobiological signatures of reduced vesicular acidification' to PLOS Genetics.

The manuscript was fully evaluated at the editorial level and by 4 independent peer reviewers. The reviewers appreciated the attention to an important topic but identified some concerns that we ask you address in a revised manuscript

We therefore ask you to modify the manuscript according to the review recommendations. Your revisions should address the specific points made by each reviewer.

In addition we ask that you:

1) Provide a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript.

2) Upload a Striking Image with a corresponding caption to accompany your manuscript if one is available (either a new image or an existing one from within your manuscript). If this image is judged to be suitable, it may be featured on our website. Images should ideally be high resolution, eye-catching, single panel square images. For examples, please browse our archive. If your image is from someone other than yourself, please ensure that the artist has read and agreed to the terms and conditions of the Creative Commons Attribution License. Note: we cannot publish copyrighted images.

We hope to receive your revised manuscript within the next 30 days. If you anticipate any delay in its return, we would ask you to let us know the expected resubmission date by email to plosgenetics@plos.org.

If present, accompanying reviewer attachments should be included with this email; please notify the journal office if any appear to be missing. They will also be available for download from the link below. You can use this link to log into the system when you are ready to submit a revised version, having first consulted our Submission Checklist.

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Please be aware that our data availability policy requires that all numerical data underlying graphs or summary statistics are included with the submission, and you will need to provide this upon resubmission if not already present. In addition, we do not permit the inclusion of phrases such as "data not shown" or "unpublished results" in manuscripts. All points should be backed up by data provided with the submission.

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

PLOS has incorporated Similarity Check, powered by iThenticate, into its journal-wide submission system in order to screen submitted content for originality before publication. Each PLOS journal undertakes screening on a proportion of submitted articles. You will be contacted if needed following the screening process.

To resubmit, you will need to go to the link below and 'Revise Submission' in the 'Submissions Needing Revision' folder.

[LINK]

Please let us know if you have any questions while making these revisions.

Yours sincerely,

Zsolt Urban, Ph.D.

Guest Editor

PLOS Genetics

Gregory Barsh

Editor-in-Chief

PLOS Genetics

We appreciate the improvements that the authors have made to address the reviewer's comments. A few minor revisions are required as described by the reviewers.

Reviewer's Responses to Questions

Comments to the Authors:

Please note here if the review is uploaded as an attachment.

Reviewer #1: Please find enclosed the comments to the research article “Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2 syndrome and identifies multiple pathobiological signatures of reduced vesicular acidification, PGENETICS-D-20-01563_R1” submitted for publication in PLOS Genetics by Bert Callewaert and colleagues. This is article has been strongly revised by the authors and all comments from the reviewer were carefully addressed. I recomment publication with a minor revision.

Some minor points:

The authors use the term type 2 cutis laxa syndrome frequently. For example within the title and the abstract they state: “…recapitulates human ARCL type 2 syndrome “ and “…cause type 2 cutis laxa, a condition further characterized by…”. According to OMIM there are different forms of type 2 cutis laxa. I suggest within the title they should use the term ARCL type 2 C syndrome and within the abstract the plural; a group of conditions. Please carefully check the remaining manuscript for this point.

Manuscript with text changes:

Line 292: The authors state the golgi is more frequently seen within the WT. This to me is rather due to the sectional plane and due to the fact that the golgi is more fragmented within the mutants and therefore not frequently seen within the mutant sections. This should be clarified.

Figure S2: The atp6v1e1 protein quantification shows that in the fish with the proviral insert the protein amount is relatively strong in comparison to the CRISPAR mediated KO. In one lane from the later line a similar protein amount is detectable whereas the two other lanes show a complete absence of the protein, as expected. Can the authors state on this point?

Line 343: The authors state: “…To our surprise, atp6v1e1b-deficient zebrafish displayed similar total p70-S6K1 protein expression and phosphorylation levels as observed in WT controls…” To me it look like there might be changes, however they are minor. I think the interpretation might be taken because the two control lines are not congruent. I suggest clarification within the results section.

Reviewer #2: The authors have answered most of my questions. Thank you you very much for the Discussion points!

However, since the authors do recognize pH measurement isn’t straightforward in zebrafish, and could well be ascertained in future studies, I suggest softening the conclusion on acidification based on their current results, and at least mentioning the caveats on the Discussion.

Reviewer #3: The authors answered all my questions. I recommend that their manuscript should be published in Plos Genetics.

Reviewer #4: The authors have made substantial revisions that have largely addressed my previous comments and significantly improved the manuscript. However, this paper remains descriptive, and does not provide new mechanistic insight into any of the many phenotypes described. In addition, there are still parts of the paper that are confusing and require additional clarification.

Minor points:

1) In the first section of the Results (starting on line 136), the back-and-forth flow between Fig. S1 and Fig. S2 is confusing and difficult to follow. The text describes atp6v1e1b knockout first and then atp6v1e1a, whereas this is in the reverse order in the figures (Fig. S1= atp6v1e1a and Fig. S2= atp6v1e1b). I suggest making the description of these mutants easier to follow.

2) In Fig. S2D-E western blots, it is not described what is loaded in the three lanes for wt and mutants. It should be clarified is these are the same extracts or different extracts.

3) For Fig. S5I, is this dpf or hpf?

4) The data and conclusions regarding HIF-1 is confusing. The authors state (starting in line 290) “HIF-1�-target genes (egln3, vegfaa, 291 vegfab, slc2a1a, slc2a1b, pfkfb3, angptl4 and pdk1) were downregulated in atp6v1e1b-deficient zebrafish at 3 dpf (S5 Fig.A-H)” and then conclude “Taken together, we show that loss of atp6v1e1b does not alter the Notch and HIF-1� signaling pathways…” It should be clarified why the authors conclude that HIF-1� signaling is not affected.

5) In line 448 the authors conclude “While zebrafish deficient in atp6v1e1a survived normally to adulthood without any phenotype, suggesting that this gene is a non-functional ohnolog…” I suggest softening the statement that atp6v1e1a is ‘non-functional,’ since there may be unrecognized compensatory mechanisms that could be discovered in future work.

**********

Have all data underlying the figures and results presented in the manuscript been provided?

Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #4: Yes

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

Decision Letter 2

Gregory S Barsh, Zsolt Urban

17 May 2021

Dear Dr Callewaert,

We are pleased to inform you that your manuscript entitled "Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2C syndrome and identifies multiple pathobiological signatures." has been editorially accepted for publication in PLOS Genetics. Congratulations!

Before your submission can be formally accepted and sent to production you will need to complete our formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Please note: the accept date on your published article will reflect the date of this provisional acceptance, but your manuscript will not be scheduled for publication until the required changes have been made.

Once your paper is formally accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you’ve already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosgenetics@plos.org.

In the meantime, please log into Editorial Manager at https://www.editorialmanager.com/pgenetics/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production and billing process. Note that PLOS requires an ORCID iD for all corresponding authors. Therefore, please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field.  This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager.

If you have a press-related query, or would like to know about making your underlying data available (as you will be aware, this is required for publication), please see the end of this email. If your institution or institutions have a press office, please notify them about your upcoming article at this point, to enable them to help maximise its impact. Inform journal staff as soon as possible if you are preparing a press release for your article and need a publication date.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Genetics!

Yours sincerely,

Gregory Barsh

Editor-in-Chief

PLOS Genetics

Gregory Copenhaver

Editor-in-Chief

PLOS Genetics

www.plosgenetics.org

Twitter: @PLOSGenetics

----------------------------------------------------

Comments from the reviewers (if applicable):

----------------------------------------------------

Data Deposition

If you have submitted a Research Article or Front Matter that has associated data that are not suitable for deposition in a subject-specific public repository (such as GenBank or ArrayExpress), one way to make that data available is to deposit it in the Dryad Digital Repository. As you may recall, we ask all authors to agree to make data available; this is one way to achieve that. A full list of recommended repositories can be found on our website.

The following link will take you to the Dryad record for your article, so you won't have to re‐enter its bibliographic information, and can upload your files directly: 

http://datadryad.org/submit?journalID=pgenetics&manu=PGENETICS-D-20-01563R2

More information about depositing data in Dryad is available at http://www.datadryad.org/depositing. If you experience any difficulties in submitting your data, please contact help@datadryad.org for support.

Additionally, please be aware that our data availability policy requires that all numerical data underlying display items are included with the submission, and you will need to provide this before we can formally accept your manuscript, if not already present.

----------------------------------------------------

Press Queries

If you or your institution will be preparing press materials for this manuscript, or if you need to know your paper's publication date for media purposes, please inform the journal staff as soon as possible so that your submission can be scheduled accordingly. Your manuscript will remain under a strict press embargo until the publication date and time. This means an early version of your manuscript will not be published ahead of your final version. PLOS Genetics may also choose to issue a press release for your article. If there's anything the journal should know or you'd like more information, please get in touch via plosgenetics@plos.org.

Acceptance letter

Gregory S Barsh, Zsolt Urban

15 Jun 2021

PGENETICS-D-20-01563R2

Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2C syndrome and identifies multiple pathobiological signatures.

Dear Dr Callewaert,

We are pleased to inform you that your manuscript entitled "Loss of zebrafish atp6v1e1b, encoding a subunit of vacuolar ATPase, recapitulates human ARCL type 2C syndrome and identifies multiple pathobiological signatures." has been formally accepted for publication in PLOS Genetics! Your manuscript is now with our production department and you will be notified of the publication date in due course.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript.

Soon after your final files are uploaded, unless you have opted out or your manuscript is a front-matter piece, the early version of your manuscript will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting PLOS Genetics and open-access publishing. We are looking forward to publishing your work!

With kind regards,

Katalin Szabo

PLOS Genetics

On behalf of:

The PLOS Genetics Team

Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom

plosgenetics@plos.org | +44 (0) 1223-442823

plosgenetics.org | Twitter: @PLOSGenetics

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. Whole mount in situ hybridization (WISH) for atp6v1e1 ohnologs in zebrafish embryos.

    (A-C) Representative images demonstrating WISH for atp6v1e1a and atp6v1e1b at different developmental time points (24 hpf (n = 7), 48 hpf (n = 7), 72 hpf (n = 7), 120 hpf (n = 7) and 168 hpf (n = 7)). Expression patterns of atp6v1e1a and atp6v1e1b are similar. Scale bar = 200 μm. (D) Schematic representation of the atp6v1e1a gene (transcript ENSDART00000008986.6). The orange line represents the position of the target site of the sgRNA used for CRISPR-Cas9-induced indel mutagenesis (atp6v1e1a-/-). (E) RT-qPCR analysis showed a significant decrease in expression of atp6v1e1a at 3 dpf in atp6v1e1a-/-. Gene expression levels of atp6v1e1b remained normal. Data are expressed as mean ± SD from 5 biological replicates. 2-way ANOVA with Tukey test for multiple comparison. (F-J) Whole-mount bone staining of 12-month-old adult atp6v1e1a-/- and their respective wild-type (WT) controls in dorsal (I, J) and lateral positions (F, G). N = 8 per genotype. Scale bar = 2 mm (A, B, C, D).

    (TIF)

    S2 Fig. Knock-out of atp6v1e1b in zebrafish shows an early phenotypic read-out.

    (A) Schematic representation of the atp6v1e1b gene (transcript ENSDAR00000050221.5). The orange line represents the position of the proviral insert (atp6v1e1bhi577aTg/+) or the target site of the sgRNA used for CRISPR-Cas9-induced indel mutagenesis (atp6v1e1bcmg78/+). (B) RT-qPCR analysis showed a significant decrease in expression of atp6v1e1b in both zebrafish models at 3 dpf. Data are expressed as mean ± SD from 5 biological replicates. (C) Band intensities of fluorescence signals of atp6v1e1 and α-tubulin were quantified and normalized to the corresponding WT controls. Data are expressed as mean ± SD from 3 biological replicates, in which 20 zebrafish larvae were pooled per sample. 2-way ANOVA with Tukey test for multiple comparison was used for statistical analysis. Different protein extracts were loaded on the immunoblot. (D-E) Immunoblot of lysates obtained from atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and their WT controls at 4 dpf. We confirmed equal loading by staining for α-tubulin. (F) Loss of atp6v1e1b causes embryonic mortality in zebrafish. Kaplan-Meier curves for survival of atp6v1e1b-deficient zebrafish. (G) Hatching pattern of atp6v1e1b-deficient zebrafish. Atp6v1e1b-defcient zebrafish showed delayed or no spontaneous hatching (H) Touch-Evoked Escape test (TEE-test) of atp6v1e1bhi577aTg/hi577aTg larvae (n = 22) and their respective WT controls (n = 8), atp6v1e1bcmg78/cmg78 (n = 26) larvae and their respective WT controls (n = 26). The reaction after touch with a thick blunt needle was scored as follows: (1) no movement, (2) local muscle contractions of the embryo, (3) short distance swim movement and (4) normal swim movement towards the edge of the Petri dish.

    (TIF)

    S3 Fig. Atp6v1e1b-deficiency impairs protein level of endo(lyso)somal markers in zebrafish larvae.

    (A) Immunoblot of lysates from whole atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and corresponding WT control larvae at 4 dpf. We confirmed equal loading by staining for α-tubulin. (C-F) Quantification of the relative protein levels of EEA1 (marker for early endosomes), Rab5 (marker for early endosomes), Rab7 (marker for late endosomes), and LAMP1 (marker for lysosomes), normalized to total α-tubulin levels. Data are expressed as mean ± SD from 4 biological replicates. (G) Schematic presentation of the area covered by confocal microscopy in I. (H) The number of acidified vesicles is significantly reduced in atp6v1e1bhi577aTg/hi577aTg, atp6v1e1bcmg78/cmg78, and Baf A1 treated WT larvae at 3 dpf compared to WT controls. (I) Representative confocal images of the cranial area are shown. Outlines of the eyes are indicated by dotted lines. Acidified vesicles in brain cells are visualized in red, including lysosomes, endosomes and exosomes. Atp6v1e1b+/+ (n = 12), atp6v1e1bhi577aTg/hi577aTg (n = 12), atp6v1e1bcmg78/cmg78 (n = 12) and atp6v1e1b+/+ treated with 1.6 μM Baf A1 (n = 9). Scale bar = 100 μm.

    (TIF)

    S4 Fig. Tissue specific expression and localization of early and late endosomal markers in atp6v1e1b-deficient zebrafish.

    Representative images are shown. Confocal microscopy images of longitudinal sections of the yolk (A-D) and brain (E-H) from 4 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for RAB5. (I-L) Confocal microscopy images of longitudinal sections of the muscle from the trunk of the zebrafish larvae from 3 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for RAB7. Confocal microscopy images of longitudinal sections of the yolk (M-P) and brain (Q-T) from 3 dpf atp6v1e1b+/+, atp6v1e1bhi577aTg/hi577aTg, and atp6v1e1bcmg78/cmg78 larvae stained for LAMP1. Negative control was imaged for each corresponding region in the zebrafish larvae. Scale bar = 20 μm.

    (TIF)

    S5 Fig. In vivo loss of atp6v1e1b does not affect iron availability and does not induce a hypoxia-mediated response.

    (A-H) No difference in gene expression of the HIF-1α-target genes, egln3, vegfaa and pfkfb3, were found in atp6v1e1b-deficient zebrafish. Interestingly, the gene expression of the HIF-1α-target genes, vegfab, slc2a1a, slc2a1b, angptl4 and pdk1, was downregulated to varying extents in atp6v1e1b-deficient zebrafish based on RT-qPCR. Data are expressed as mean ± SD from 5 biological replicates. (I) Supplementation of 100 μM iron (Fe3+) ammonium citrate (FAC) does not improve survival of atp6v1e1b-deficient zebrafish. Kaplan-Meier curves for survival of atp6v1e1b-deficient zebrafish with and without FAC treatment. (J) Atp6v1e1b-deficient and WT control zebrafish at 3 dpf exhibited normal levels of hemoglobin upon o-dianisidine staining. Atp6v1e1bhi577aTg/hi577aTg (n = 15) and their respective WT controls (n = 15), atp6v1e1bcmg78/cmg78 (n = 15) and their respective WT controls (n = 15). Scale bar: 200 μM.

    (TIF)

    S6 Fig. Reactome pathway analysis confirms enrichment of oxygen exchange, ion delivery and inflammatory signaling clusters in atp6v1e1-deficient zebrafish.

    (A) RT-qPCR analysis of 10 from the top150 DEGs validating the results obtained in the unbiased transcriptomic analysis. Data are expressed as mean ± SD from 5 biological replicates. (B-C) Cluster plot showing the top enriched reactome pathways of the DEG from whole-body samples of atp6v1e1b-deficient and WT control zebrafish at 3 dpf.

    (TIF)

    S7 Fig. Minor changes in phospholipid and fatty acid levels upon atp6v1e1b depletion in zebrafish larvae.

    (A-H) HILIC LC MS/MS lipidomic analysis demonstrates minor changes in the total levels of phospholipids and fatty acids in 3 dpf atp6v1e1b-deficient zebrafish. Data are expressed as mean ± SD from 3 biological replicates. TG: triacylglycerides; DG: diacylglycerides; Chol: cholesterol; CE: cholesterol esters; PE: phosphatidylethanolamine; PE-O: 1-alkyl,2- acylphosphatidylethanolamines; PE-P: 1-alkenyl,2-acylphosphatidylethanolamines; LPE: lysophosphatidylethanolamine.

    (TIF)

    S8 Fig. Modulating the ceramide synthesis pathway or the Krebs cycle does not ameliorate the survival of atp6v1e1b-deficient zebrafish.

    (A-I) Survival curves are shown for atp6v1e1b-deficient zebrafish and controls until 8 dpf. Compounds were administered at 1 dpf, after chorion removal. (A-C) Administration of compounds interfering with the ceramide biosynthesis and cholesterol esterification. (D-I) Administration of compounds influencing the Krebs cycle. Kaplan-Meier curves for survival of atp6v1e1b-deficient and treated atp6v1e1b-deficient zebrafish.

    (TIF)

    S9 Fig. Acute pharmacological inhibition of v-ATPase function recapitulates the effects of atp6v1e1b-deficiency on mitochondrial oxygen consumption.

    OCR response to oligomycin and rotenone/antimycin a in 2 dpf atp6v1e1bhi577aTg/hi577aTg (A-B) and atp6v1e1bcmg78/cmg78 zebrafish (C-D) and their respective controls after administration of vehicle (A, C) or the v-ATPase inhibitor Baf A1 (B, D) with oligomycin and rotenone/antimycin a or after administration. (C-D) OCR in WT controls and atp6v1e1bcmg78/cmg78 zebrafish after administration of vehicle in C or Baf A1 in D with oligomycin and rotenone/antimycin a or after administration. Data are expressed as mean ± SEM from 5 biological replicates in which 4 zebrafish were pooled. Baf A1: Bafilomycin A1; OCR: oxygen consumption rate.

    (TIF)

    S1 Table. List of DEGs with unknown gene names.

    (DOCX)

    S2 Table. Pathway activity profile of metabolites from atp6v1e1b-deficient zebrafish.

    (Left) GSEA algorithm which considers the overall ranks of features without using a significance cut-off. (Right) Mummichog algorithm which implements an over-representation analysis method that is not able to detect subtle changes. *The mummichog compound hits represent the number of significant compounds divided by the total number of compounds per pathway.

    (DOCX)

    S3 Table. Zebrafish mutation and primers used for genotyping.

    (DOCX)

    S4 Table. Compound screen in zebrafish.

    (DOCX)

    S5 Table. Primer sequences for qPCR analysis.

    (DOCX)

    S1 Text. Supporting information.

    (DOCX)

    Attachment

    Submitted filename: Response to the reviewers.docx

    Attachment

    Submitted filename: response to reviewers_second revision round_09042021.DOCX

    Data Availability Statement

    RNA sequencing data used for the gene expression analysis of both atp6v1e1b-deficient zebrafish and WT controls have been deposited in the ArrayExpress database at EMBL-EBI under accession number E-MTAB-8824, and can be accessed at the following link: https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-8824.


    Articles from PLoS Genetics are provided here courtesy of PLOS

    RESOURCES