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. 2022 Dec 2;18(12):e1010530. doi: 10.1371/journal.pgen.1010530

LOF variants identifying candidate genes of laterality defects patients with congenital heart disease

Sijie Liu 1,#, Wei Wei 1,#, Pengcheng Wang 1,#, Chunjie Liu 1, Xuechao Jiang 2, Tingting Li 1, Fen Li 3, Yurong Wu 1, Sun Chen 1, Kun Sun 1,*, Rang Xu 2,*
Editor: Giorgio Sirugo4
PMCID: PMC9749982  PMID: 36459505

Abstract

Defects in laterality pattern can result in abnormal positioning of the internal organs during the early stages of embryogenesis, as manifested in heterotaxy syndrome and situs inversus, while laterality defects account for 3~7% of all congenital heart defects (CHDs). However, the pathogenic mechanism underlying most laterality defects remains unknown. In this study, we recruited 70 laterality defect patients with CHDs to identify candidate disease genes by exome sequencing. We then evaluated rare, loss-of-function (LOF) variants, identifying candidates by referring to previous literature. We chose TRIP11, DNHD1, CFAP74, and EGR4 as candidates from 776 LOF variants that met the initial screening criteria. After the variants-to-gene mapping, we performed function research on these candidate genes. The expression patterns and functions of these four candidate genes were studied by whole-mount in situ hybridization, gene knockdown, and gene rescue methods in zebrafish models. Among the four genes, trip11, dnhd1, and cfap74 morphant zebrafish displayed abnormalities in both cardiac looping and expression patterns of early signaling molecules, suggesting that these genes play important roles in the establishment of laterality patterns. Furthermore, we performed immunostaining and high-speed cilia video microscopy to investigate Kupffer’s vesicle organogenesis and ciliogenesis of morphant zebrafish. Impairments of Kupffer’s vesicle organogenesis or ciliogenesis were found in trip11, dnhd1, and cfap74 morphant zebrafish, which revealed the possible pathogenic mechanism of their LOF variants in laterality defects. These results highlight the importance of rare, LOF variants in identifying disease-related genes and identifying new roles for TRIP11, DNHD1, and CFAP74 in left-right patterning. Additionally, these findings are consistent with the complex genetics of laterality defects.

Author summary

Defects in laterality pattern can result in abnormal positioning of the internal organs during the early stages of embryogenesis. Patients with laterality anomalies complicated by CHD have higher mortality as compared to their CHD peers without laterality anomalies. However, the pathogenic mechanism underlying most laterality defects remains unknown. In this study, we recruited 70 laterality defects patients with CHD to identify candidate disease genes by exome sequencing. We then evaluated rare, loss-of-function variants, identifying TRIP11, DNHD1, CFAP74, and EGR4 as candidates. The expression patterns and functions of these four candidate genes were studied in zebrafish models. Among the four genes, trip11, dnhd1, and cfap74 morphant zebrafish displayed abnormalities in both cardiac looping and expression patterns of early signaling pathways. In addition, impairments of Kupffer’s vesicle organogenesis or ciliogenesis were found in trip11, dnhd1, and cfap74 morphant zebrafish. These results highlight the importance of rare, loss-of-function variants in identifying disease-related genes and display the new roles for TRIP11, DNHD1, and CFAP74 in left-right patterning. Variants in TRIP11 and CFAP74 are identified in laterality defect patients for the first time.

Introduction

Laterality defects are serious congenital malposition complexes characterized by defects of embryonic left-right (LR) patterning. They present as a range of developmental disorders, including situs inversus (SI) and heterotaxy (HTX) syndrome [1]. SI is characterized by complete, mirror-image reversal of all asymmetrical structures, whereas HTX is defined as having at least one organ discordant along the left-right axis and is traditionally classified into two groups: left atrial isomerism and right atrial isomerism [2]. Laterality defects have an estimated global prevalence of 1/10,000 and account for approximately 3~7% of all congenital heart defects (CHDs) [3,4]. Patients with laterality anomalies complicated by CHD have higher mortality as compared to their CHD peers without laterality anomalies. A previous study showed that the postoperative mortality of CHD patients with heterotaxy after surgical treatments was 4.8%, while the mortality of CHD patients without heterotaxy was 2.4% [5]. Patients with heterotaxy can have a diverse range of complex cardiac anomalies spanning all lesion types, including double outlet right ventricle (DORV), atrioventricular canal defects (AVC), anomalous pulmonary venous connection (APVC), transposition of the great arteries (TGA), single atrium (SA) and single ventricle (SV), etc. [6].

The mechanism underlying LR patterning is highly conserved among distinct classes of vertebrates. At the early somite stage, the LR axis develops symmetrically. LR asymmetry is initiated by the directional rotation of cilia in a conserved ciliated organ, the LR organizer (LRO; also referred to as the “node” in mice and the “Kupffer’s vesicle” in zebrafish). Subsequently, asymmetry signals are transmitted to the left lateral plate mesoderm (LPM) to induce asymmetric expressions of genes, such as Nodal, left-right determination factor 2 (Lefty2), and paired-like homeodomain 2 (pitx2), and lead to LR asymmetric morphogenesis of the internal organs [2]. Several signaling pathways, such as Notch, Nodal, Hedgehog, Wnt, and transforming growth factor-beta 1 (TGF-1), which are involved in the formation of the LR axis, are conserved in all vertebrates. Previous studies have demonstrated an association between either ciliary disorders (defects of structure or function) or the dysfunction of early cell signaling during embryogenesis and laterality defects in different organisms [710]. In humans, mutations in the genes involved in ciliary formation (e.g., DNAH5, NPHP4) and pleiotropic signaling pathways (e.g., NODAL, CFC1, ACVR2B, LEFTY2, ZIC3) have been identified in patients with laterality defects [6,1113]. However, the known mutations only account for <20% of cases with laterality defects; [6] the etiology of laterality defects for the majority of affected patients remains unknown.

Exome sequencing (ES) is an efficient strategy to selectively sequence genomic coding regions (exons) for the identification of variations associated with human disease phenotypes, including single nucleotide variations (SNVs) and indels. ES improves the ability to detect pathologic genetic variations in complex diseases [11]. Several studies utilizing ES have demonstrated that many diseases are related to SNVs or indels, such as CHD and hypophosphatasia with mental retardation syndrome [1416]. In previous research, both Alexander H. Li and Shuzhang Liang screened candidate laterality defect-related genes by ES [11,17]. Moreover, MMP21 and SHROOM3 were identified in heterotaxy patients through ES and found responsible for left-right asymmetry by further experiments in animal models [3,18]. All the studies above suggest that ES can be used for analyzing the genetic factors of laterality defects.

In our study, we identified 39 genes with multiple loss-of-function (LOF) variants through ES screening in 70 unrelated patients with laterality defects. Among these candidate variants, we found four potential genes involved in either ciliary proteome formation and function or the Nodal signaling pathway. The downregulation of three out of the four genes identified (trip11, dnhd1, and cfap74) in zebrafish caused disorders in both cardiac looping and the expression patterns of nodal-responsive genes (spaw, lefty2, and pitx2). Furthermore, our results showed that knockdown of trip11, dnhd1, and cfap74 in zebrafish altered Kupffer’s vesicle organogenesis or ciliogenesis. To our knowledge, this is the first study to identify TRIP11 and CFAP74 as novel laterality defect-related genes involved in LR patterning in both humans and animals.

Results

Clinical data

A total of 70 unrelated Chinese patients with laterality defects were recruited for our study. All patients exhibited abnormal positioning of the internal organs and cardiac abnormalities without non-laterality-associated malformations or other syndromes. No family histories of any congenital malformations were noted in the patients’ medical records. Patient ages ranged from 4 days to 16 years; 46 patients were male and 24 were female. Detailed information about the cardiac and extracardiac congenital malformations is summarized in Table 1. Total/partial anomalous pulmonary venous connection (TAPVC/PAPVC) was observed in 18 patients, double outlet right ventricle (DORV) in 28 patients, complete/partial atrioventricular canal (CAVC/PAVC) in 28 patients, and pulmonary atresia/stenosis (PA/PS) was identified in 61 patients. Thirty-one patients had malposed or transposed great arteries (MGA/TGA).

Table 1. Cardiac and extracardiac abnormalities in the patients with laterality defects.

Number of patients (%)
Sex
    Male 46 (65.7%)
    Female 24 (34.3%)
Cardiac position
    Levocardia 21 (30%)
    Dextrocardia 42 (60%)
    Mesocardia 6 (10%)
Atrial arrangement
    Atrial situs inversus 23 (32.9%)
    Isomerism of right atrial appendages 40 (57.1%)
    Isomerism of left atrial appendages 5 (7.1%)
Ventricular arrangement
    Ventricular situs solitus 21 (30%)
    Ventricular situs inversus 21 (30%)
    Single ventricle 28 (40%)
Bronchi
    Bilateral right bronchi (short) 38 (54.3%)
    Bilateral left bronchi (long) 6 (8.6%)
    Bronchial inversus 26 (37.1%)
Spleen
    Polysplenia 5 (7.1%)
    Asplenia 38 (54.3%)
    Single right spleen 25 (35.7%)
    Single left spleen 2 (2.9%)
Stomach
    Right-sided stomach 38 (54.3%)
    Left-sided stomach 23 (32.9%)
    Stomach centrally situated 6 (8.6%)
    Unknown 3 (4.3%)
Liver
    Left-sided liver 23 (32.9%)
    Right-sided liver 8 (11.4%)
    Liver centrally situated 39 (55.7%)
Aortic arch
    Left aortic arch 32 (45.7%)
    Right aortic arch 38 (54.3%)
SVC
    Right SVC 10 (14.3%)
    Left SVC 35 (50%)
    Bilateral SVC 25 (35.7%)
IVC
    Interrupted IVC, hemiazygos vein continuation 2 (2.9%)
    Interrupted IVC, azygos vein continuation 5 (7.1%)
Relationship of IVC and descending aorta
    IVC right of spine and descending aorta left of spine 5 (7.1%)
    IVC left of spine and descending aorta right of spine 19 (27.1%)
    IVC and descending aorta same side 35 (50%)
    IVC left of spine and descending aorta anterior of spine 2 (2.9%)
    IVC anterior of spine and descending aorta left of spine 1 (1.4%)
    IVC right of spine and descending aorta anterior of spine 1 (1.4%)

Identification of candidate genes

To identify the genetic causes of the laterality defects, we performed ES on 70 patients and 100 healthy individuals. (Fig 1) The results revealed approximately 74,000 SNVs and 14,000 indels per individual. To identify potential disease-related genes in patients with laterality defects, variants were selected based on the following criteria: (1) located in exon or splicing region; (2) exclude synonymous variants; (3) exclude variants with allele frequency >0.1% in 1000 Genomes Project or ExAC; (4) absent in dataset of 100 healthy control individuals; (5) predicted to be disease-causing by at least one online program. According to these criteria, we identified up to 10226 potential variants, including both SNV and indel. To narrow the range of options, we selected LOF variants consisting of frameshift, nonsense, and splice-site variants, and further screened 776 candidate variants. (S1 Table)

Fig 1. Schematic of the methodology applied to identify candidate genes.

Fig 1

The results of ES performed on 70 patients were screened according to a series of criteria. 10226 rare variants were screened out. Among them, 776 LOF variants were selected for further analysis. 39 genes were identified from LOF variants for function and homology analysis. Finally, TRIP11, DNHD1, CFAP74, and EGR4 were selected as candidate genes for further study.

While 39 genes were identified more than once in the 776 selected variants (Table 2), they did not include any known LR pattern-related genes (e.g., ZIC3, CFC1, NKX2.5, GDF1, NODAL, LEFTY1, LEFTY2, ACVR2B, DNAH5, DNAH11, DNAI1, FOXH1, CRELD1, and GALNT11). We then examined the functions of the 39 candidate genes to correlate the laterality defect phenotypes to specific genes. All candidate genes were identified according to the following criteria: (1) participation in ciliary structure or function; (2) association with LR axis formation-associated signaling pathways, including Notch, Nodal, TGF-β, Hedgehog, and Wnt; (3) member of the ubiquitin ligase E3 family. We then identified 10 genes (C11orf94, C16orf71, C2orf71, CABS1, CFAP74, CUL7, DNHD1, EGR4, FSIP2, and TRIP11) related to LR patterning. Among them, C2orf71 was excluded, because a previous study conducted a morphological examination of the C2orf71 morphants revealed no gross defects in the body axis in zebrafish [19]. Considering 5 out of these 10 genes without homologous genes in zebrafish (Table 2), we finally choose TRIP11, DNHD1, CFAP74, and EGR4 as our candidate genes (S1 and S2 Figs). There were 10 LOF variants located in 4 candidate genes, including 1 splicing, 3 stop gain, and 6 frameshift variants (Table 3), which were detected in 10 patients, respectively (Table 4).

Table 2. The bioinformatics information on the LOF variants of candidate genes.

Chromosome Gene OMIM number Component Function Homology (Human vs zebrafish)
5p14.1 ACOT12 614315 Acyl-CoA Thioesterase 12 fatty Acyl-CoA Biosynthesis and Metabolism 60.46%
9p13.3 ANKRD18B 618930 Ankyrin Repeat Domain 18B nucleotide binding 12%
12q24.12 ATXN2 601517 Spinocerebellar Ataxia Type 2 Protein negative regulator of endocytic EGFR internalization at the plasma membrane 62.24%
11p11.2 C11orf94 / Chromosome 11 Open Reading Frame 94 Cornelia De Lange Syndrome 4 With or Without Midline Brain Defects /
16p13.3 C16orf13 / Chromosome 16 Open Reading Frame 1 Left Ventricular Noncompaction 58.78%
16p13.3 C16orf71 / Chromosome 16 Open Reading Frame 71 an axonemal dynein regulator /
1q32.1 C1orf116 611680 Chromosome 1 Open Reading Frame 116 putative androgen-specific receptor 33%
2p23.2 C2orf71 613425 Photoreceptor Cilium Actin Regulator normal photoreceptor cell maintenance and vision 44.58%
4q13.3 CABS1 618600 Calcium Binding Protein, Spermatid Associated 1 calcium-binding protein /
1p36.33 CFAP74 / Cilia and Flagella Associated Protein 74 part of the central apparatus of the cilium axoneme 48.02%
19p13.3 CFD 134350 Complement Factor D functions as an adipokine and complement activation 50.76%
2p13.3 CLEC4F / C-Type Lectin Domain Family 4 Member F receptor with an affinity for galactose and fucose 17%
4p16.3 CRIPAK 610203 Cysteine-rich PAK1 inhibitor negative regulator of PAK1 /
6p21.1 CUL7 609577 Cullin 7 an E3 ubiquitin-protein ligase complex /
11p15.4 DNHD1 617277 Dynein Heavy Chain Domain 1-Like Protein microtubule motor activity 43.08%
10q26.13 DMBT1 601969 Deleted In Malignant Brain Tumors 1 surfactant metabolism and Salivary secretion 53.98%
2p13.2 EGR4 128992 Early Growth Response 4 transcriptional regulator 34%
2p16.3 FSHR 136435 Follicle Stimulating Hormone Receptor G protein-coupled receptor for follitropin 63.03%
2q32.1 FSIP2 615796 Fibrous Sheath Interacting Protein 2 play a role in spermatogenesis /
19p13.3 FUT5 136835 Fucosyltransferase 5 fucosyltransferase activity /
14q12 GZMH 116831 Granzyme H cytotoxic chymotrypsin-like serine protease with preference for bulky /
5q35.2 HK3 142570 Hexokinase 3 catalyzes the phosphorylation of hexose /
1q21.3 HRNR 616293 Hornerin component of the epidermal cornified cell envelopes /
22q13.33 LMF2 / Lipase Maturation Factor 2 involved in the maturation of specific proteins in the endoplasmic reticulum 61.53%
5p15.33 LRRC14B / Leucine-Rich Repeat Containing 14B a member of the PRAME family 54.15%
19p13.2 MUC16 606154 Mucin 16, Cell Surface Associated provide a protective, lubricating barrier against particles and infectious agents at mucosal surfaces /
7q22.1 MUC17 608424 Mucin 17, Cell Surface Associated maintaining homeostasis on mucosal surfaces /
11p11.2 MYBPC3 600958 the cardiac isoform of myosin-binding protein C modifies the activity of actin-activated myosin ATPase 63.89%
17p11.2 MYO15A 602666 Unconventional Myosin-15 actin-based motor molecules with ATPase activity 65.06%
10q25.3 NRAP 602873 Nebulin Related Anchoring Protein anchoring the terminal actin filaments in the myofibril to the membrane and in transmitting tension from the myofibrils to the extracellular matrix 57%
8q21.3 PSKH2 / Protein Serine Kinase H2 transferase activity and protein tyrosine kinase activity 46%
12q24.13 RITA1 / RBPJ Interacting and Tubulin Associated 1 Tubulin-binding /
2q24.3 SCN7A 182392 Sodium Voltage-Gated Channel Alpha Subunit 7 mediates the voltage-dependent sodium ion permeability of excitable membranes /
12q14.1 SLC16A7 603654 Solute Carrier Family 16 Member 7 symporter activity and secondary active monocarboxylate transmembrane transporter activity 66.93%
7q36.1 SSPO 617356 SCO-Spondin, Pseudogene modulation of neuronal aggregation 52.3%
5q22.1 TMEM232 / Transmembrane Protein 232 integral component of membrane 48.42%
11q14.3 TRIM64B / Tripartite Motif Containing 64B metal ion binding 18%
14q32.12 TRIP11 604505 Thyroid Receptor-interacting Protein 11 the maintenance of Golgi structure and function 58.42%
3q25.2 TSEN2 608753 TRNA-Splicing Endonuclease Subunit Sen2 nucleic acid binding and tRNA-intron endonuclease activity. 52.77%

Bold items are candidate genes we identified.

Table 3. The bioinformatics information on the LOF variants of candidate genes and patients.

ID Gene Mutation site Amino acid change Exonic Function ExAC allele frequency 1000G allele frequency genomeAD
pLoF (pLI)
REVEL score CADD score
63 TRIP11 NM_004239.4:c.5855C>G p.Ser1952* stopgain NA NA 0 NA 39
24 TRIP11 NM_004239.4:c.4432_4433del p.Glu1478Ilefs*8 frameshift deletion NA NA NA NA
44 DNHD1 NM_144666.3:c.2545C>T p.Arg849* stopgain NA NA 0 NA 36
36 DNHD1 NM_144666.3:c.11206_11207insTT - splicing NA NA NA NA
64 DNHD1 NM_144666.3:c.7041dupC p.Gln2348Profs*21 frameshift insertion NA NA NA NA
60 CFAP74 XM_017002642.1:c.163G>T p.Glu55* stopgain NA NA 0 NA 28.3
15 CFAP74 XM_017002642.1:c.1072del p.Arg358Glyfs*52 frameshift deletion NA NA NA NA
3 CFAP74 XM_017002642.1:c.1714_1715del p.Gly572Glnfs*35 frameshift deletion 0.0001 NA NA NA
55 EGR4 NM_001965.4:c.65dupG p.Cys22Trpfs*7 frameshift insertion 0.0002 NA 0.01 NA NA
72 EGR4 NM_001965.4:c.65dupG p.Cys22Trpfs*7 frameshift insertion 0.0002 NA NA NA

NA, not available

Table 4. Clinical phenotypes of laterality defects patients with LOF variations.

ID Mutation site Patients’ cardiac abnormalities Extracardiac abnormalities
63 NM_004239.4:c.5855C>G M, ASI, VSS, PA, PDA, ASD, VSD BI, SRS, RS, LSL
24 NM_004239.4:c.4432_4433del M, ASI, SV, PS, PDA, ASD BI, SRS, RS, LSL
44 NM_144666.3:c.2545C>T D, IRAA, SV, MGA, PS, CAVC BRB, asplenia, LS, LCS
36 NM_144666.3:c.11206_11207insTT D, IRAA, SV, MGA, PS, ASD BRB, SRS, RS, LCS
64 NM_144666.3:c.7041dupC D, ASI, VSS, TGA, PDA, ASD BI, SRS, RS, LSL
60 XM_017002642.1:c.163G>T D, ASI, VSI, TGA, PA, PDA, ASD, VSD BI, SRS, RS, LSL
15 XM_017002642.1:c.1072del D, ASI, SV, MGA, PS, PDA, CAVC BI, SRS, RS, LSL
3 XM_017002642.1:c.1714_1715del D, IRAA, VSI, DORV, CAVC BRB, asplenia, LS, RSL
55 NM_001965.4:c.65dupG D, ILAA, SV, MGA, PA, PDA BLB, polysplenia, SCS, RSL
72 NM_001965.4:c.65dupG L, IRAA, SV, MGA, PS, TAPVC, CAVC BRB, asplenia, RS, LCS

D dextrocardia, M mesocardia, ASI atrial situs inversus, IRAA isomerism of right atrial appendages, ILAA isomerism of left atrial appendages, VSS ventricular situs solitus, VSI ventricular situs inversus, SV single ventricle, PA pulmonary atresia, PS pulmonary stenosis, MGA malposed great arteries, TGA transposed great arteries, DORV double outlet right ventricle, PDA patent ductus arteriosus, CAVC complete atrioventricular canal, ASD atrial septum defect, VSD ventricle septum defect, BI bronchial inversus, BRB bilateral right bronchi (short), BLB bilateral left bronchi (long), SRS single right spleen, SLS single left spleen, RS right-sided stomach, LS left-sided stomach, SCS stomach centrally situated, LSL left-sided liver, RSL right-sided liver, LCS liver centrally situated

To find out whether the patients identified as carriers of the four candidate genes had variants in other known laterality-related genes (ZIC3, CFC1, NKX2.5, GDF1, NODAL, LEFTY1, LEFTY2, ACVR2B, DNAH5, DNAH11, DNAI1, FOXH1, CRELD1, or GALNT11), We screened the coding sequences of these genes. We identified a nonsynonymous heterozygous variant (p.His4123Tyr) in DNAH5 in one patient with a LOF variant in CFAP74 (S2 Table).

Expression patterns of candidate genes in zebrafish

We used zebrafish as a model organism to further analyze the biological function of the candidate genes in regulating organ laterality, as LR patterning processes are highly conserved across vertebrate species. The developmental expression patterns of the candidate genes in zebrafish were examined by whole-mount in situ hybridization at two stages: 12 hpf and 24 hpf. The dorsal forerunner cells cluster and migrate then generate Kupffer’s vesicle (KV) at the tailbud by the 4- to 6-somite stages, which contributes to the proper LR asymmetric patterning in zebrafish [20]. As shown in Fig 2, trip11, dnhd1, cfap74, and egr4 exhibited nearly ubiquitous expression patterns at 12 hpf. Meanwhile, they had more localized expression patterns at 24 hpf: trip11 was localized to the pronephric duct and brain; both cfap74 and dnhd1 were expressed in the pronephric duct, brain, and tailbud; and egr4 mainly expressed in brain. The pronephric duct and neural tube are principal tissues that are involved in ciliogenesis in the early zebrafish embryo [21]. Previous studies in mice showed cilia transduced hedgehog signaling coordinates left-right patterning with heart looping and differentiation of the heart tube [22]. Based on these expression patterns, all candidate genes had a potential role in LR patterning and cardiovascular development.

Fig 2. Expression pattern of candidate genes at the indicated stages.

Fig 2

12hpf and 24hpf. (A, C, E, G, I) Results of in situ hybridization of candidate genes and standard control at the 12hpf (8–10 somites). (B, D, F, H, J) Results of in situ hybridization of candidate genes and standard control at the 24hpf (primordium 5 stage). Lateral view of embryos with anterior to the left. pronephric duct (green arrows), tail bud (red arrow), head (blue arrows).

Knockdown of candidate genes disturbs cardiac looping

To test whether the candidate genes are required for LR patterning, we used MOs to knock down gene expression by disrupting mRNA splicing (trip11 and dnhd1) or blocking mRNA translation (cfap74 and egr4). We used galnt11 as a positive control. In previous studies, GALNT11, also known as polypeptide N-acetylgalactosaminyltransferase 11, determined laterality by activating Notch signal to regulate the ratio of motile to immotile cilia at the LRO and cilia spatial distribution [23]. Meanwhile, a standard MO provided by Gene Tools was used as a negative control.

Three types of heart tube morphologies occur in zebrafish embryos: normal dextral-loop (D-loop), reversed sinistral loop (s-loop), and no loop (Fig 3A). All MOs were injected at the one-cell stage, and embryos were raised until 48 hpf, at which time the cardiac looping morphology was assessed. We found that three of the four candidate gene MOs exhibited a robust cardiac looping phenotype. 7.2–9.8% of the negative controls exhibited an abnormal phenotype, while 31.2% of galnt11 morphants exhibited an abnormal phenotype (P < 0.001). The phenotypes of the trip11, dnhd1, and cfap74 morphants were significantly different from that of the negative control, with 30.7–48.5% of embryos showing either an S-loop or no loop (P < 0.001). Yet knockdown of egr4 had no significant effect on heart looping (P > 0.05) (Fig 3B). In addition, when Cas9 protein and guide RNA (gRNA; trip11 gRNA, dnhd1 gRNA, and cfap74 gRNA) were co-injected into one-cell stage zebrafish embryos, both injected and F0 embryos exhibited a disrupted cardiac looping ratio (P < 0.001) compared to the negative control (injected with cas9 protein only; Fig 3D). However, knockout of egr4 had no significant effect on heart looping compared with the negative control. In detail, 0–3.9% of negative controls exhibited an abnormal phenotype, while the percentages of trip11, dnhd1, cfap74, and egr4 exhibiting abnormal phenotypes were 18.99–26.56%, 18.06–20.51%, 15–17.3%, and 1.59–3.75% respectively.

Fig 3. Knock-down of candidate genes disturbed heart looping.

Fig 3

(A) Different types of zebrafish heart are shown in Tg (cmlc2: eCherry) morphants in ventral view: dextral loop (normal), sinistral loop (abnormal), and no-loop (abnormal). (B) The percentage of abnormal heart looping with morphants injected. Bars show the total percent of abnormally looped hearts including two types: no-loop and sinistral loop hearts. (C) The corresponding mRNA can rescue LR randomization caused by MO of candidate genes. (D) The ratio of the abnormal heart looping of embryos generated by co-injection of zebrafish Cas9 mRNA and gRNA. Each experiment was repeated at least 3 times with > 50 embryos examined for each group every time. Standard MO (Std) is used as the negative control. galnt11MO is used as the positive control. Chi-squared test (continuity corrected) was used in B, C and D; *P <0.05, **P < 0.01, ***P < 0.001, respectively vs. Std-16ng (glant11, trip11, dnhd1, and cfap74) or Std-2ng (egr4). WT, wild type.

We then performed rescue experiments to verify whether the knockdown of each candidate gene was responsible for the abnormal phenotype. The defective LR asymmetry of the heart in the trip11, dnhd1, and cfap74 morphants were efficiently rescued by expression of the corresponding mRNAs of the candidate genes in vitro and the detailed abnormal ratio after rescue ranged from 9.18% to 26.75% (Fig 3C; P < 0.05). Among them, there was no significant difference between cfap74 morphants and std MO after rescue.

Candidate genes exhibit global effects on early signaling pathways in LR development

Disrupted cardiac looping patterns can arise either by disturbances during early embryonic LR pattern development or by later morphogenesis of specific internal organs.[24] Clinical data from patients with selected variants indicated more than one organ malposition, suggesting that abnormal cardiac looping results from a disruption of early LR pattern development. To pinpoint the molecular cause of the LR defects, we examined the expression patterns of spaw, lefty2, and pitx2 in the morphants. These three genes are markers of LR patterning. In zebrafish embryos, Kupffer’s vesicle initiates asymmetric orientation by inducing the lateral expression of spaw in the LPM. Then, spaw stimulates the transcription of the downstream genes lefty2 and pitx2, particularly in the left side of the LPM and heart.[25] Lefty2 encodes a nodal inhibitor belonging to the TGF-β superfamily, whereas pitx2 encodes a transcription factor that transfers LR patterning information necessary for proper organogenesis [26].

The embryonic expression patterns of spaw, lefty2, and pitx2 exhibited either normal (left side) or abnormal (right side, bilateral, or absent) forms (Fig 4A–4C). Of the negative controls, 14.0–19.4% exhibited abnormal pitx2 expression, 18.1–23.4% displayed abnormal lefty2 expression, and 19.8–22.9% exhibited abnormal spaw expression. Meanwhile, in morphants injected with galnt11 MO as a positive control, 39.5% exhibited abnormal pitx2 expression, 38.6% displayed abnormal lefty2 expression, and 36.0% exhibited abnormal spaw expression (P < 0.001). The trip11, dnhd1, and cfap74 morphants exhibited significant abnormal spaw, lefty2, and pitx2 expression patterns (42.6–50.4% of pitx2, 39.7–58.1% of lefty2, and 29.4–57.1% of spaw; P < 0.01) compared with negative control. Consistent with the phenotypic results, egr4 morphants exhibited no significant abnormalities in spaw, lefty2, or pitx2 expression. (Fig 4D–4F)

Fig 4. The expression patterns of spaw, lefty2, and pitx2 at 18–24 hpf.

Fig 4

(A, C) the expression of spaw and pitx2 exhibit four patterns in LPM: left (normal), right (abnormal), bilateral (abnormal), or absent (abnormal). (B) The expression of lefty2 shows four patterns in the cardiac field: left (normal), right (abnormal), bilateral (abnormal), or absent (abnormal). (D-F) Summary of spaw, lefty2, and pitx2 mRNA expression in zebrafish morphants. Embryos are viewed dorsally with anterior to the top. Each experiment was repeated at least 3 times with > 50 embryos examined for each group every time. Chi-squared test (continuity corrected) was used in D, E and F; *P <0.05, **P < 0.01, ***P < 0.001, respectively vs. Std-16ng (glant11, trip11, dnhd1, and cfap74) or Std-2ng (egr4).

The role of candidate genes in Kupffer’s vesicle organogenesis and ciliogenesis

Kupffer’s vesicle (KV) is a conserved ciliated epithelial structure that creates nodal flow by the directional rotation of the cilia. This flow is necessary for asymmetric gene expression [1]. Our results revealed that trip11, dnhd1, and cfap74 might act upstream of spaw, impacting Nodal signaling in early development. To investigate whether the loss of these candidate genes alters LR asymmetric gene expression KV organogenesis or ciliogenesis, we first examined the morphogenesis of KV. Compared with wild-type embryos exhibiting a normal-size, rounded KV at the terminus of the notochord, trip11, and cfap74 morphants displayed a smaller KV. (Fig 5A and 5B)

Fig 5. Candidate genes are required for KV formation and ciliogenesis.

Fig 5

(A) The light-micro graph at the 8-somite stage showed different KV sizes, including normal and small. (B) The vesicle size of KV apical area. N≥19. (C) Fluorescent immunostaining of cilia in KV using anti-α-Tubulin antibodies at the 12hpf. (D) LRO Cilia number per KV was quantified and the group values were expressed as the mean ± SD. N≥15. (E) The average length of LRO Cilia per KV was quantified and the group values were expressed as the mean ± SD. N≥7. (F) The ciliary beat frequency (CBF). N≥12. Statistical significance was determined by Mann Whitney test; *P <0.05, ***P < 0.001, respectively vs. Std.

To explore the function of the candidate genes during ciliogenesis, the formation of KV cilia in zebrafish embryos was analyzed at the 8-somite stage. Compared with the number (average, 62±9) and length (average, 4.83±0.42 μm) of cilia in control embryos, trip11 morphants exhibited a significant decrease in the mean number (24±10) and mean length (3.19±0.69 μm) of cilia (P < 0.001). Consistently, dnhd1 morphants showed similar abnormalities in ciliogenesis, with an average number of 19±9 and an average length of 3.03±0.44 μm (P < 0.001); the average number of cilia in cfap74 embryonic morphants was 29±12 (P < 0.001) and the average length was 4.14±0.77 μm (P < 0.05; Fig 5C–5E). Moreover, we injected arl13b-mCherry mRNA into KVs at the one-cell stage to track the movements of the cilia at the 8-somite stage. The ciliary beat frequency (CBF) in the KV of trip11 knockdown embryos was reduced significantly (Fig 5F). Dnhd1 and cfap74 knockdown embryos showed no significant difference compared with control embryos (S1S4 Movies).

Variant screening of candidate genes

We re-screened 70 patients with laterality defects for rare nonsynonymous variants of three candidate genes (TRIP11, DNHD1, and CFAP74) to further investigate the relationship between these genes and LR patterning. We then screened the sequences using the following criteria: (1) located in exon or splicing region; (2) exclude synonymous variants; (3) exclude variants with allele frequency >0.1% in 1000 Genomes Project or ExAC; (4) exclude variants identified in 100 normal Chinese individuals; (5) predicted to be disease-causing by at least one online program. Finally, ten rare heterozygous variants in DNHD1 and CFAP74 were identified S3 Table. The clinical phenotypes of these patients were shown in S4 Table.

Discussion

Laterality defects can lead to a variety of congenital diseases, but the etiology of these defects in many patients is still unknown [27]. To explore the role of genetic variation in laterality defects, we performed ES on 70 unrelated patients and 100 healthy individuals. By analyzing the sequencing results, we identified four candidate genes. We assayed for phenocopy in a zebrafish model and then embarked on mechanistic analyses to understand the roles of these candidate genes in LR patterning and related diseases. The downregulation of these genes (trip11, dnhd1, and cfap74) in zebrafish resulted in disorders of both cardiac looping and the ectopic expression of nodal-responsive genes (spaw, lefty2, and pitx2). Meanwhile, knockdown of trip11, dnhd1, and cfap74 altered the formation and function of cilia in KV. In addition, we identified 10 rare nonsynonymous variants in the coding sequences of DNHD1 and CFAP74 in patients with laterality defects.

Currently, more than 100 genes have been associated with LR patterning defects in animal models, but only a few are likely candidates in humans [1]. Many studies have shown that using ES is an efficient strategy to identify pathologic variations of genes related to disease. However, since the acquisition of the patient population in this study was random, and the high number of variants identified would likely interfere with our analysis, it was critical to optimize the screening criteria for the identification of candidate genes in humans. Among all genetic variants, LOF variants generally exhibit strong pathogenicity [28]. The genetic basis of disorders such as congenital isolated hypogonadotropic hypogonadism, Aicardi-Goutiéres syndrome, and cavernous angioma have demonstrated LOF variants that are of considerable importance in etiological research [2931]. Moreover, previous studies of NEK3, MMP21, and PKD1L1 have revealed that LOF variants play important roles in the pathogenesis of laterality defects in humans [3,32,33]. Thus, we screened 70 unrelated patients for rare, LOF variants that were present more than once in the same gene to narrow the scope of candidates. According to our zebrafish models, three out of four potential genes were shown to be involved in the development of asymmetry. These findings confirm that focusing on rare, LOF variants is a good approach to identify candidate genes, and the presence of more than one LOF variant in the same gene is more likely to elicit abnormal functional effects.

Our results suggest that TRIP11, DNHD1, and CFAP74 are involved in Nodal signaling cascade by participating in KV development or ciliogenesis, which in turn contributes to LR pattern formation. These results confirm the importance of KV in LR patterning. Established genes of left–right patterning defects often involve the left-right organizer (LRO) [34]. According to the research conducted by Jason et al, the size of the KV lumen may have a significant impact on the flow dynamics necessary for LR development [35]. Besides, these results indicate the importance of ciliogenesis and ciliary function in left-right patterning. A previous study performed by Knowles et al showed that around 50% of primary ciliary dyskinesia patients have organ laterality defects [36].

The thyroid hormone receptor interactor 11 (TRIP11) gene encodes the Golgi microtubule-associated protein 210 (GMAP-210), which belongs to the golgin family and has been proposed to function in maintaining the morphologic and function of the Golgi apparatus [37]. Former research has shown that the loss of TRIP11 results in developmental problems related to the defective formation and function of cilia. The lack of GMAP-210 in mice has been shown to cause lethality in neonates with diverse phenotypes, including growth restriction, tetralogy of Fallot, ventricular septal defects, and lung hypoplasia [38]. In addition, TRIP11 male germ cell-specific conditional knockout mice exhibit infertility [39]. Heart and lung development, as well as male fertility, require normal ciliary function. Furthermore, cilia are of great importance in LR asymmetry. Our study is the first to show that trip11 exhibited ubiquitous expression patterns at 12 hpf and localized to the pronephric duct and brain at 24 hpf in zebrafish embryos. Trip11 knockdown led to apparent abnormalities in cardiac looping. Further, cultured mouse embryonic kidney cells obtained from GMAP-210-deficient mice displayed shortened cilia with reduced polycystin-2 levels in a previous study [38]. Interestingly, we observed similar length defects in trip11 morphants and found that trip11 knockdown impaired ciliary motion. It is known that GMAP-210 anchors IFT20 to the Golgi apparatus, which is required for IFT20 to sort and transport ciliary membrane proteins, such as polycystin-2 [37]. Previous work has indicated that polycystin-2 acts as a regulator of cilia length to participate in the regulation of flow-induced signaling. Polycystin-2 is also required for sensing ciliary motility in LR axis determination [40]. The involvement of both IFT20 and polycystin-2 may explain why impairments in both the structure and function of cilia were observed in trip11 morphants.

Few studies have been performed on the function of either DNHD1 or CFAP74. DNHD1, dynein heavy chain domain 1, encodes a ciliated structural protein in the dynein heavy chain. A homozygous missense variant of DNHD1 was reported in patients with SI-like phenotypes (complex heart defects with incomplete intestinal rotation), but no further studies were conducted. Noteworthy, research conducted by Yue-Qiu Tan showed that DNHD1 bi-allelic variants were identified in athenoteratozoospermia patients and these patients presented flagellar axoneme defects [41]. DNHD1 may be involved in the developmental process by participating in cilia assembly. Previous research has noted the association of several other dynein heavy chain-encoding genes, such as DNAH1, DNAH5, DNAH9, and DNAH11, with ciliary primary dyskinesia (PCD) and laterality defects [4245]. PCD is a serious inherited disorder that results from defects in ciliary and flagellar axoneme substructures with LR laterality developing in 50% of affected individuals [7]. Among these genes, a deficiency in Dnah5, a paralog of Dnhd1, causes a loss of outer dynein arms (ODAs) in embryonic LRO monocilia, leading to immotile cilia and impaired fluid flow in mice [13]. However, unlike Dnah5, loss of dnhd1 did not elicit any impairment in ciliary motion, so we considered the loss of cilia number and length as influential factors of nodal flow. We first found that the loss of dnah1 causes disturbances in cardiac looping and exhibited global defects in early signaling pathways in zebrafish, which likely result from impaired ciliogenesis.

CFAP74 (cilia- and flagella-associated protein 74) is a protein-coding gene that is reportedly linked to olfactory function [46]. It is highly expressed in the testes and lungs, with normal cilia playing crucial roles in both sperm motility and respiratory function.[47] Recently, biallelic mutations in CFAP74 were identified in two patients with potential PCD and multiple morphological abnormalities of sperm flagella (MMAF), but no laterality defects were found in these patients [48]. Abnormalities in CFAP family members appear to be associated with both PCD and MMAF. For example, CFAP53 was found in patients with laterality disorders; its deficiency in animal models was shown to result in anomalous LR asymmetry [4951]. Further, the specific knockdown of CFAP53 in zebrafish exhibited ultrastructural defects characterized by the severe reduction of ODAs and nonmotile cilia in KV [50,51]. Prediction of CFAP74 function based on its protein structure suggests a role in the ciliary movement, as it is part of the central apparatus of the cilia axoneme. Previous research provided indirect evidence of this function by showing that a mutation in CFAP74 interfered with the assembly of the axoneme structure and function of the sperm flagellum [48]. Therefore, CFAP74 loss of function was considered to disrupt the structure of cilia with a reduction in both the number and length of cilia. Similar to DNHD1, the loss of CFAP74 caused the loss of cilia number and length, while did not impair ciliary motion, so we considered loss of CFAP74 influencing ciliary function by affecting its formation. Based on these results, we suspect that TRIP11, DNHD1, and CFAP74, which are structurally related ciliary proteins in KV, act upstream of the Nodal signaling cascade and their decreased expression affects ciliary function.

As previously described, a single genetic mutation may not result in an obvious phenotype, but mutations in highly pleiotropic genes could have subclinical effects on phenotypes, and their cumulative effect could impact the fitness of its carrier [52]. Hence, we took the additive effects of different variants into account in our study; such considerations have also been proposed in autism spectrum disorder, mitochondrial encephalomyopathy, and several cancers [5355]. Similar effects may exist in patients with LOF variants in CFAP74 who also have one nonsynonymous heterozygous variant (p.His4123Tyr) in DNAH5. The multi-genetic basis of our results is consistent with the complexity of the development of LR asymmetry; however, to verify this hypothesis, experimental modeling and further research are needed.

Early growth response 4 (EGR4) is a transcriptional regulator involved in mitogenesis and differentiation [56]. In our study, knockdown of EGR4 in zebrafish did not exhibit abnormal LR patterning.

Our research highlights the importance of rare, LOF variants in the identification of novel candidate genes in random patients with laterality defects. In addition, our functional studies illustrate those three potential genes, two of which have never been associated with LR asymmetry in either humans or animals previously, may be essential for the development of LR patterning. However, according to the guidelines, we do not have sufficient experimental and informatic support that the variants in the three genes are causal for laterality defects [57,58]. This is the limitation of our study. TRIP11, DNHD1, and CFAP74 are more likely to be candidates with new roles in left-right patterning. Meanwhile, TRIP11 and CFAP74 are associated with laterality defects for the first time. We provide preliminary evidence for their potential pathogenicity in laterality defects, and they are hoped to be further confirmed in larger groups of patients in the future. Overall, these findings have broadened our insights into the complex genetics of laterality defects and the pathogenic mechanism involved.

Methods

Ethics statement

This study was approved by the Local Ethics Committees of Xinhua Hospital (Shanghai, China) and Shanghai Children’s Medical Center (SCMC). The serial numbers are XHEC-C-2012-018 and SCMC-201004 respectively. All parents have signed informed consent according to the guidelines of the medical ethics committee of Xin Hua Hospital and SCMC.

Case ascertainment

Our study recruited 70 patients with laterality defects and 100 healthy individuals from Xinhua Hospital and Shanghai Children’s Medical Center (SCMC). All patients included in this research were diagnosed with laterality defects and confirmed by ultrasonography, echocardiography, cardiac catheterization examinations, X-ray, computed tomography, and other operation recordings.

Patients exhibiting complex congenital heart defects and abnormal arrangement of the visceral organs were included, while those with a known chromosome abnormality or Mendelian gene syndrome and another major congenital malformation not associated with laterality defects were excluded.

Exome sequencing and variants screening

DNA was extracted from peripheral blood samples obtained from each patient using DNeasy Blood Kit (Qiagen, Duesseldorf, Germany) according to the manufacturer’s instructions. DNA of the cases and controls were sent to a commercial provider (Shanghai Biotechnology Co., Ltd., Shanghai, China), which performed sequencing services using the Illumina HiSeq2500 platform. Read mapping to hg19 was performed with Burrows-Wheeler alignment (BWA (0.7.12)). The coverage is more than 99% with a mean depth of more than 60x. The variants were annotated by ANNOVAR with a combination of databases.

Variants with more than 0.001 alternative allele frequencies in 1000 Genomes Project (http://www.1000genomes.org/) and ExAC (http://exac.broadinstitute.org), as well as those existing in control individuals were excluded. Pathogenicity of all the variants was predicted by online programs including SIFT (http://provean.jcvi.org/index.php), Polyphen-2 (http://genetics.bwh.havard.edu/pph2/), Mutation Taster (http://www.mutationtaster.org/), gnomeAD (http://gnomad-sg.org/about), REVEL (https://sites.google.com/site/revelgenomics/) and CADD (http://cadd.gs.washington.edu/score). The variants identified were confirmed by Sanger sequencing. The amplification reactions were carried out on an Applied Biosystems Veriti Cycler (Life Technologies Corporation, USA) with the following cycling program: 98°C for 5 minutes and amplified for 35 cycles, each consisting of 30 seconds at 98°C, 30 seconds at 55–63°C, and 30 seconds at 72°C per 1kb, followed by a 3-minute extension at 72°C. The sequences of Sanger sequencing primers are provided in S5 Table.

Zebrafish strains

Adult zebrafish (albino and AB line) and red-fluorescent labeled zebrafish (cmcl2: mcherry) were raised under standard laboratory conditions using an automatic fish housing system (ESEN, Beijing, China) at 28°C. Wild-type embryos were obtained from adult zebrafish and raised in Holtfreter’s solution at 28.5°C. All zebrafish experiments were performed at the Institute of Neuroscience, Chinese Academy of Sciences, under the guidelines of standard protocols. The stages of embryos were determined according to their developmental morphology [59].

The whole-mount in situ hybridization

The whole-mount in situ hybridization was performed according to the previously described protocol [60]. Probes of the following genes were used in our research: spaw, pitx2, lefty2, trip11, dnhd1, cfap74, egr4. The anti-DIG RNA probes were synthesized with a length of 600–1300 nucleotides. Among them, the probes of trip11, dnhd1, cfap74, and egr4 were synthesized by the company GENEWIZ (Suzhou, China) and then subcloned into the pGEM-T vector. The coding sequence DNA of spaw, pitx2, and lefty2 was amplified using specific primers and then also subcloned into the pGEM-T vector. The sequences and primers are listed in S6 Table.

Morpholino oligo injection and target gene knockdown

The standard control morpholino oligo (MO) and MOs targeting candidate genes were purchased from Gene Tools (Philomath, OR, USA). The standard control MO is a 25-mer oligo with the sequence: 5’-CCTCTTACCTCAGTTACAATTTATA-3’. According to Gene Tools’ protocol, MOs were diluted to different working concentrations using nuclease-free water and were pressure-injected into one-cell-stage embryos by a Picospritzer II injector. The MOs for examining heart looping and scoring of pitx2, lefty2, and spaw expression in morphants were used in dosages ranging from 2 ng to 16 ng: 4ng trip11 MO, 4ng dnhd1 MO, 16ng cfap74 MO, 2ng erg4 MO, and 8ng galnt11 MO per embryo. As negative controls, we injected 2 and 16 ng of standard control MO separately. A summary of MO doses and sequences is provided in S7 Table.

The effectiveness evaluation of the MOs

The effectiveness evaluation methods of candidate genes are different based on different MO principles. The effectiveness evaluation method of MOs that inhibit splicing (splicing MO) targeting trip11/dnhd1 is to directly detect whether the normal splicing of the original mRNA transcript has been changed by RT-PCR. The RT-PCR validation was performed according to the protocol of SYBR Premix Ex Taq II (Applied TaKaRa, Japan). The sequences of three pairs of primers are provided in S8 Table.

The MOs targeting cfap74 and egr4 are translation-inhibiting MO (MO-ATG). We measured the effectiveness of egr4 MO by western blotting, while determining that of cfap74 MO by in vitro reporter gene methods as lacking zebrafish antibodies against cfap74. Briefly, a pair of oligos that contain the MO target sequence of candidate genes were first annealed and then recombined into PeGFP-N1 vector which expressed the fused construct consisting of MO target sequence and the coding sequence of eGFP. 100 pg of the fusion gene vector and 16ng of the cfap74 MO or control MO were microinjected into each zebrafish embryo at the one-cell stage. The gene which expressed fluorescent protein eGFP was observed under the fluorescence microscope. The knockdown efficiencies of these MOs are illustrated in S3 Fig.

CRISPR/Cas9-mediated gene editing

The sequences of guide RNA were designed to introduce trip11, dnhd1, and cfap74 gene mutation in zebrafish embryos by the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) system [61]. The sequences of trip11, dnhd1, cfap74, and egr4 guide RNA (gRNA) were designed to target the sequences of mature genes and constructed by the manufacturer (XINJIA Medical, Nanjing, China). According to the previously described protocol, 600 pg zCas9 protein, and 100 pg-250 pg candidate genes, gRNA was co-injected into zebrafish embryos at the one-cell stage. The specific sequences of gRNA of candidate genes are listed in S9 Table. Then, we examined the knockout efficiency in F0 embryos by PCR and sequencing analysis. The sequences of primers are listed in S10 Table and the results are shown in S4 Fig. The knockout efficiency of trip11, dnhd1, cfap74, and egr4 is 100%, 62.5%, 100%, and 100%, separately.

mRNA synthesis and injection

The full-length coding sequence DNA of trip11, dnhd1, cfap74, and egr4 were synthesized by the company GENEWIZ (Suzhou, China) and then subcloned into the pCS2+ vector. The positive clones were selected by DNA sequencing to be applied for generating full-length mRNAs. The corresponding mRNAs of candidate genes were generated by T7 or SP6 mMessage mMachine kit (Ambion, America). For the rescue experiment, the mRNA and MO of candidate genes were mixed and injected into one-cell-stage embryos. The dose of mRNAs and MOs are listed in S11 Table.

Immunostaining and confocal microscope

Embryos were fixed in 4% paraformaldehyde in PBS overnight at 4°C, followed by dehydration in 100% ethanol at 20°C. Embryos were rehydrated by moving into successive dilutions of methanol in PBS and then rinsed with PBST two times every 5 minutes. Embryos were then blocked at room temperature for 2 hours in 10% heat-inactivated goat serum and then stained with the anti-α-Tubulin antibody (1:2000 T7451, Sigma) overnight at 4°C. Samples were then washed 3 times with PBST, followed by incubation with secondary antibodies, Alexa Fluor 488 conjugated anti-mouse IgG (1:500 115-545-003, Invitrogen), overnight at 4°C. The stained embryos were then embedded with 1.5% low melting agarose and imaged using an Olympus FV3000 confocal. We measured the cilia length by 3D tracing of cilia with imageJ. The number of KV and cilia counted were shown in S12 Table.

KV apical area was quantified to visualize the KV. Embryos were observed in a bright field using an Olympus SZX7 microscope at the 8-somite stage. A region was drawn around the KV apical perimeter and then measured using ImageJ software (NIH) to quantify the vesicle size.

High-speed cilia video microscopy

Embryos at the eight-somite stage were mounted in 1.2% agarose with the dorsal roof of the KV facing up. Movie capture was performed at 125–250 frames per second under the OLYMPUS XLPLN25XSVMP2 25x/1.00 WD 4.00 mm objective lens on a Bruker Opterra II controlled with Prairie View Software at room temperature. CBF measurements were analyzed using ImageJ (NIH) followed by Fourier analysis in MATLAB as previously described [62].

Statistical analysis

Cilia number and length were measured using ImageJ software. All results were expressed as the mean ± SD. Differences between control and treated groups were analyzed using the chi-squared test (continuity corrected), unpaired, two-tailed t-test, and Mann-Whitney test. Results were collected from at least 3 biologically independent replicates and considered statistically significant at P < 0.05 and defined *P <0.05, **P < 0.01, ***P < 0.001.

Supporting information

S1 Fig. Sanger sequencing shows loss-of-function variants.

(a, b) Sanger sequencing shows frameshift or nonsense variants in TRIP11. (c, g, h) Sanger sequencing shows frameshift, splice-region mutant alleles or nonsense variants in DNHD1. (i, m, n) Sanger sequencing shows frameshift or nonsense variants in CFAP74. (o, s) Sanger sequencing shows frameshift variants in EGR4. (d, e, f, j, k, l, p, q, r, v) Sanger sequencing shows normal results that did not alter the sequences.

(TIF)

S2 Fig. Schematic representation of the domains of four candidate genes and the position variants.

(a) the position of domains and variants in TRIP11. ALPS, ALPS (amphipathic lipid-packing sensor) motif; GRAB, GRAB (Grip-related Arf-binding) domain; GA1, GRAB-associated region. (b) the position of domains and variants in DNHD1. MTBD, microtubule-binding domain. (c) the position of domains and variants in CFAP74. TPH, Trichohyalin-plectin-homology domain. (d) the position of domains and variants in EGR4.

(TIF)

S3 Fig. The effectiveness of the MOs.

(a-b) The RT-PCR (reverse transcription-PCR) results were conducted to analyze the efficiency of sb-MOs targeting trip11, and dnhd1. Total RNA was extracted from 2 dpf zebrafish embryos. (a) The trip11 splice blocking morpholino (sb-MO) targets the junction of intron 1–2 and exon 2 resulting in a shorter exon 2. (b) The dnhd1 sb-MO target the junction of exon 2, and intron 2–3 results in a shorter exon 2. (c,d) The egr4 MO and cfap74 MO target AUG result in lower protein expression. (c) Fluorescent immunostaining of zebrafish embryo using anti-GFP antibodies in Std embryos and cfap74 morphants. The fusion gene vector and cfap74 MO or control MO were microinjected at the one-cell stage. (d) Western blot revealed knockdown of protein expression in egr4 morphants. Anti-actin was used as a loading control. Proteins were extracted from 3 dpf zebrafish embryos. Std standard control; ex, exon; in, intron.

(TIF)

S4 Fig. Sequencing analysis of the knockout results.

Sequence analysis of trip11, dnhd1, cfap74, and egr4 mutations caused by co-injection of zebrafish codon-optimized protein and corresponding gRNA. The red fonts show the target sites of gRNA, yellow fonts and blanks show mutated sequences, and the green fonts show the PAM sequences.

(TIF)

S1 Table. The bioinformatics information of 776 candidate LOF variants.

(XLSX)

S2 Table. The bioinformatics information on the variants of patients with selected LOF mutations.

(DOCX)

S3 Table. The bioinformatics information on the variants of candidate genes.

(DOCX)

S4 Table. Clinical phenotypes of laterality defects patients with rare nonsynonymous variants of three candidate genes.

(DOCX)

S5 Table. The primers of Sanger sequencing.

(DOCX)

S6 Table. Antisense RNA probes conducted for whole mount in situs hybridization.

(DOCX)

S7 Table. MO sequences, injection doses, and total embryo numbers analyzed for heart looping and gene expression.

(DOCX)

S8 Table. The primers of MOs’ effectiveness evaluation.

(DOCX)

S9 Table. The sequences and doses of gRNA.

(DOCX)

S10 Table. The primers of CRISPR/Cas9-mediated gene editing effectiveness evaluation.

(DOCX)

S11 Table. MO and mRNA injection doses, and total embryo numbers analyzed for rescue.

(DOCX)

S12 Table. Total number of KV and cilia for cilia length and CBF.

(DOCX)

S13 Table. The numerical data that underlie the figure and statistics.

(XLSX)

S1 Movie. The motion of motile cilia in control morphants.

(RAR)

S2 Movie. The motion of motile cilia in trip11 morphants.

(RAR)

S3 Movie. The motion of motile cilia in dnhd1 morphants.

(RAR)

S4 Movie. The motion of motile cilia in cfap74 morphants.

(RAR)

Acknowledgments

We thank all the patients for their participation in this study. We are also grateful to Dr. J. L. Du for the zebrafish platform support and critical comments on the experiments.

Data Availability

The sequencing datasets generated and analyzed during the current study are available in the China National GeneBank database (https://db.cngb.org/cnsa/). The accession number of dataset is OEP002514. (https://www.biosino.org/node/project/detail/OEP002514). The numerical data that underlie the figure and statistics are shown in S13 Table.

Funding Statement

This work was supported by grants 81670210 and 81970264 from the National Natural Science Foundation of China to RX. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Catana A, Apostu AP: The determination factors of left-right asymmetry disorders- a short review. Clujul Med. 2017; 90:139–146. doi: 10.15386/cjmed-701 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Shiraishi I: Left-Right Asymmetry and Human Heterotaxy Syndrome. In Etiology and Morphogenesis of Congenital Heart Disease: From Gene Function and Cellular Interaction to Morphology. Edited by Nakanishi T, Markwald RR, Baldwin HS, Keller BB, Srivastava D, Yamagishi H. Tokyo: Springer Copyright. 2016; 2016: 49–56 [PubMed] [Google Scholar]
  • 3.Guimier A, Gabriel GC, Bajolle F, Tsang M, Liu H, Noll A, Schwartz M, El Malti R, Smith LD, Klena NT, et al. : MMP21 is mutated in human heterotaxy and is required for normal left-right asymmetry in vertebrates. Nat Genet. 2015; 47:1260–1263. doi: 10.1038/ng.3376 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Escobar-Diaz MC, Friedman K, Salem Y, Marx GR, Kalish BT, Lafranchi T, Rathod RH, Emani S, Geva T, Tworetzky W: Perinatal and infant outcomes of prenatal diagnosis of heterotaxy syndrome (asplenia and polysplenia). Am J Cardiol. 2014; 114:612–617. doi: 10.1016/j.amjcard.2014.05.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Nakhleh N, Francis R, Giese RA, Tian X, Li Y, Zariwala MA, Yagi H, Khalifa O, Kureshi S, Chatterjee B, et al. : High prevalence of respiratory ciliary dysfunction in congenital heart disease patients with heterotaxy. Circulation. 2012; 125(18):2232–2242. doi: 10.1161/CIRCULATIONAHA.111.079780 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gabriel GC, Lo CW: Left-right patterning in congenital heart disease beyond heterotaxy. Am J Med Genet C Semin Med Genet. 2020; 184:90–96. doi: 10.1002/ajmg.c.31768 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wallmeier J, Nielsen KG, Kuehni CE, Lucas JS, Leigh MW, Zariwala MA, Omran H: Motile ciliopathies. Nat Rev Dis Primers. 2020; 6:77. doi: 10.1038/s41572-020-0209-6 [DOI] [PubMed] [Google Scholar]
  • 8.Loges NT, Antony D, Maver A, Deardorff MA, Güleç EY, Gezdirici A, Nöthe-Menchen T, Höben IM, Jelten L, Frank D, et al. : Recessive DNAH9 Loss-of-Function Mutations Cause Laterality Defects and Subtle Respiratory Ciliary-Beating Defects. Am J Hum Genet. 2018; 103:995–1008. doi: 10.1016/j.ajhg.2018.10.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Bamford RN, Roessler E, Burdine RD, Saplakoğlu U, dela Cruz J, Splitt M, Goodship JA, Towbin J, Bowers P, Ferrero GB, et al. : Loss-of-function mutations in the EGF-CFC gene CFC1 are associated with human left-right laterality defects. Nat Genet. 2000; 26:365–369. doi: 10.1038/81695 [DOI] [PubMed] [Google Scholar]
  • 10.Sutherland MJ, Wang S, Quinn ME, Haaning A, Ware SM: Zic3 is required in the migrating primitive streak for node morphogenesis and left-right patterning. Hum Mol Genet. 2013; 22:1913–1923. doi: 10.1093/hmg/ddt001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Li AH, Hanchard NA, Azamian M, D’Alessandro LCA, Coban-Akdemir Z, Lopez KN, Hall NJ, Dickerson H, Nicosia A, Fernbach S, et al. : Genetic architecture of laterality defects revealed by whole exome sequencing. Eur J Hum Genet. 2019; 27:563–573. doi: 10.1038/s41431-018-0307-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.French VM, van de Laar IM, Wessels MW, Rohe C, Roos-Hesselink JW, Wang G, Frohn-Mulder IM, Severijnen LA, de Graaf BM, Schot R, et al. : NPHP4 variants are associated with pleiotropic heart malformations. Circ Res. 2012; 110:1564–1574. doi: 10.1161/CIRCRESAHA.112.269795 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Nöthe-Menchen T, Wallmeier J, Pennekamp P, Höben IM, Olbrich H, Loges NT, Raidt J, Dougherty GW, Hjeij R, Dworniczak B, Omran H: Randomization of Left-right Asymmetry and Congenital Heart Defects: The Role of DNAH5 in Humans and Mice. Circ Genom Precis Med. 2019. doi: 10.1161/CIRCGEN.119.002686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Zaidi S, Choi M, Wakimoto H, Ma L, Jiang J, Overton JD, Romano-Adesman A, Bjornson RD, Breitbart RE, Brown KK, et al. : De novo mutations in histone-modifying genes in congenital heart disease. Nature. 2013; 498:220–223. doi: 10.1038/nature12141 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Homsy J, Zaidi S, Shen Y, Ware JS, Samocha KE, Karczewski KJ, DePalma SR, McKean D, Wakimoto H, Gorham J, et al. : De novo mutations in congenital heart disease with neurodevelopmental and other congenital anomalies. Science. 2015; 350:1262–1266. doi: 10.1126/science.aac9396 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Krawitz PM, Schweiger MR, Rödelsperger C, Marcelis C, Kölsch U, Meisel C, Stephani F, Kinoshita T, Murakami Y, Bauer S, et al. : Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome. Nat Genet. 2010; 42:827–829. doi: 10.1038/ng.653 [DOI] [PubMed] [Google Scholar]
  • 17.Liang S, Shi X, Yu C, Shao X, Zhou H, Li X, Chang C, Lai KS, Ma J, Zhang R: Identification of novel candidate genes in heterotaxy syndrome patients with congenital heart diseases by whole exome sequencing. Biochim Biophys Acta Mol Basis Dis. 2020; 1866:165906. doi: 10.1016/j.bbadis.2020.165906 [DOI] [PubMed] [Google Scholar]
  • 18.Tariq M, Belmont JW, Lalani S, Smolarek T, Ware SM: SHROOM3 is a novel candidate for heterotaxy identified by whole exome sequencing. Genome Biol. 2011; 12:R91. doi: 10.1186/gb-2011-12-9-r91 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Nishimura DY, Baye LM, Perveen R, Searby CC, Avila-Fernandez A, Pereiro I, Ayuso C, Valverde D, Bishop PN, Manson FD et al. : Discovery and functional analysis of a retinitis pigmentosa gene, C2ORF71. American journal of human genetics. 2010; 86(5):686–695. doi: 10.1016/j.ajhg.2010.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Gabriel GC, Young CB, Lo CW: Role of cilia in the pathogenesis of congenital heart disease. Seminars in cell & developmental biology. 2021; 110:2–10. doi: 10.1016/j.semcdb.2020.04.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Matsui T, Bessho Y: Left-right asymmetry in zebrafish. Cellular and molecular life sciences: CMLS. 2012; 69(18):3069–3077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Borovina A, Superina S, Voskas D, Ciruna B: Vangl2 directs the posterior tilting and asymmetric localization of motile primary cilia. Nature cell biology. 2010; 12(4):407–412. doi: 10.1038/ncb2042 [DOI] [PubMed] [Google Scholar]
  • 23.Boskovski MT, Yuan S, Pedersen NB, Goth CK, Makova S, Clausen H, Brueckner M, Khokha MK: The heterotaxy gene GALNT11 glycosylates Notch to orchestrate cilia type and laterality. Nature. 2013; 504:456–459. doi: 10.1038/nature12723 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Deng H, Xia H, Deng S: Genetic basis of human left-right asymmetry disorders. Expert Rev Mol Med. 2015; 16:e19. doi: 10.1017/erm.2014.22 [DOI] [PubMed] [Google Scholar]
  • 25.Montague TG, Gagnon JA, Schier AF: Conserved regulation of Nodal-mediated left-right patterning in zebrafish and mouse. Development. 2018; 145. doi: 10.1242/dev.171090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Ocaña OH, Coskun H, Minguillón C, Murawala P, Tanaka EM, Galcerán J, Muñoz-Chápuli R, Nieto MA: A right-handed signalling pathway drives heart looping in vertebrates. Nature. 2017; 549:86–90. doi: 10.1038/nature23454 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lin AE, Krikov S, Riehle-Colarusso T, Frías JL, Belmont J, Anderka M, Geva T, Getz KD, Botto LD: Laterality defects in the national birth defects prevention study (1998–2007): birth prevalence and descriptive epidemiology. Am J Med Genet A. 2014; 164a:2581–2591. doi: 10.1002/ajmg.a.36695 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, et al. : Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015; 17:405–424. doi: 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Cangiano B, Swee DS, Quinton R, Bonomi M: Genetics of congenital hypogonadotropic hypogonadism: peculiarities and phenotype of an oligogenic disease. Hum Genet. 2021; 140:77–111. doi: 10.1007/s00439-020-02147-1 [DOI] [PubMed] [Google Scholar]
  • 30.Herbert A: Z-DNA and Z-RNA in human disease. Commun Biol. 2019; 2:7. doi: 10.1038/s42003-018-0237-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Awad IA, Polster SP: Cavernous angiomas: deconstructing a neurosurgical disease. J Neurosurg. 2019; 131:1–13. doi: 10.3171/2019.3.JNS181724 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Zhang Y, Chen W, Zeng W, Lu Z, Zhou X: Biallelic loss of function NEK3 mutations deacetylate α-tubulin and downregulate NUP205 that predispose individuals to cilia-related abnormal cardiac left-right patterning. Cell Death Dis. 2020; 11:1005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Vetrini F, D’Alessandro LC, Akdemir ZC, Braxton A, Azamian MS, Eldomery MK, Miller K, Kois C, Sack V, Shur N, et al. : Bi-allelic Mutations in PKD1L1 Are Associated with Laterality Defects in Humans. Am J Hum Genet. 2016; 99:886–893. doi: 10.1016/j.ajhg.2016.07.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wells JR, Padua MB, Ware SM: The genetic landscape of cardiovascular left-right patterning defects. Current opinion in genetics & development. 2022; 75:101937. doi: 10.1016/j.gde.2022.101937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gokey JJ, Ji Y, Tay HG, Litts B, Amack JD: Kupffer’s vesicle size threshold for robust left-right patterning of the zebrafish embryo. Developmental dynamics: an official publication of the American Association of Anatomists. 2016; 245(1):22–33. doi: 10.1002/dvdy.24355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Knowles MR, Zariwala M, Leigh M: Primary Ciliary Dyskinesia. Clinics in chest medicine. 2016; 37(3):449–461. doi: 10.1016/j.ccm.2016.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Barr FA: Membrane traffic: Golgi stumbles over cilia. Curr Biol. 2009; 19:R253–255. doi: 10.1016/j.cub.2009.01.049 [DOI] [PubMed] [Google Scholar]
  • 38.Follit JA, San Agustin JT, Xu F, Jonassen JA, Samtani R, Lo CW, Pazour GJ: The Golgin GMAP210/TRIP11 anchors IFT20 to the Golgi complex. PLoS Genet. 2008; 4:e1000315. doi: 10.1371/journal.pgen.1000315 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wang Z, Shi Y, Ma S, Huang Q, Yap YT, Shi L, Zhang S, Zhou T, Li W, Hu B, et al. : Abnormal fertility, acrosome formation, IFT20 expression and localization in conditional Gmap210 knockout mice. Am J Physiol Cell Physiol. 2020; 318:C174–c190. doi: 10.1152/ajpcell.00517.2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yuan S, Zhao L, Brueckner M, Sun Z: Intraciliary calcium oscillations initiate vertebrate left-right asymmetry. Curr Biol. 2015; 25:556–567. doi: 10.1016/j.cub.2014.12.051 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Tan C, Meng L, Lv M, He X, Sha Y, Tang D, Tan Y, Hu T, He W, Tu C, et al. : Bi-allelic variants in DNHD1 cause flagellar axoneme defects and asthenoteratozoospermia in humans and mice. American journal of human genetics. 2022; 109(1):157–171. doi: 10.1016/j.ajhg.2021.11.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Guan Y, Yang H, Yao X, Xu H, Liu H, Tang X, Hao C, Zhang X, Zhao S, Ge W, Ni X: Clinical and Genetic Spectrum of Children with Primary Ciliary Dyskinesia in China. Chest. 2021. doi: 10.1016/j.chest.2021.02.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Olbrich H, Häffner K, Kispert A, Völkel A, Volz A, Sasmaz G, Reinhardt R, Hennig S, Lehrach H, Konietzko N, et al. : Mutations in DNAH5 cause primary ciliary dyskinesia and randomization of left-right asymmetry. Nat Genet. 2002; 30:143–144. doi: 10.1038/ng817 [DOI] [PubMed] [Google Scholar]
  • 44.Fliegauf M, Olbrich H, Horvath J, Wildhaber JH, Zariwala MA, Kennedy M, Knowles MR, Omran H: Mislocalization of DNAH5 and DNAH9 in respiratory cells from patients with primary ciliary dyskinesia. Am J Respir Crit Care Med. 2005; 171:1343–1349. doi: 10.1164/rccm.200411-1583OC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Schwabe GC, Hoffmann K, Loges NT, Birker D, Rossier C, de Santi MM, Olbrich H, Fliegauf M, Failly M, Liebers U, et al. : Primary ciliary dyskinesia associated with normal axoneme ultrastructure is caused by DNAH11 mutations. Hum Mutat. 2008; 29:289–298. doi: 10.1002/humu.20656 [DOI] [PubMed] [Google Scholar]
  • 46.Dong J, Wyss A, Yang J, Price TR, Nicolas A, Nalls M, Tranah G, Franceschini N, Xu Z, Schulte C, et al. : Genome-Wide Association Analysis of the Sense of Smell in U.S. Older Adults: Identification of Novel Risk Loci in African-Americans and European-Americans. Mol Neurobiol. 2017; 54:8021–8032. doi: 10.1007/s12035-016-0282-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.McKenzie CW, Craige B, Kroeger TV, Finn R, Wyatt TA, Sisson JH, Pavlik JA, Strittmatter L, Hendricks GM, Witman GB, Lee L: CFAP54 is required for proper ciliary motility and assembly of the central pair apparatus in mice. Mol Biol Cell. 2015; 26:3140–3149. doi: 10.1091/mbc.E15-02-0121 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sha Y, Wei X, Ding L, Ji Z, Mei L, Huang X, Su Z, Wang W, Zhang X, Lin S: Biallelic mutations of CFAP74 may cause human primary ciliary dyskinesia and MMAF phenotype. J Hum Genet. 2020; 65:961–969. doi: 10.1038/s10038-020-0790-2 [DOI] [PubMed] [Google Scholar]
  • 49.Gur M, Cohen EB, Genin O, Fainsod A, Perles Z, Cinnamon Y: Roles of the cilium-associated gene CCDC11 in left-right patterning and in laterality disorders in humans. Int J Dev Biol. 2017; 61:267–276. doi: 10.1387/ijdb.160442yc [DOI] [PubMed] [Google Scholar]
  • 50.Noël ES, Momenah TS, Al-Dagriri K, Al-Suwaid A, Al-Shahrani S, Jiang H, Willekers S, Oostveen YY, Chocron S, Postma AV, et al. : A Zebrafish Loss-of-Function Model for Human CFAP53 Mutations Reveals Its Specific Role in Laterality Organ Function. Hum Mutat. 2016; 37:194–200. doi: 10.1002/humu.22928 [DOI] [PubMed] [Google Scholar]
  • 51.Narasimhan V, Hjeij R, Vij S, Loges NT, Wallmeier J, Koerner-Rettberg C, Werner C, Thamilselvam SK, Boey A, Choksi SP, et al. : Mutations in CCDC11, which encodes a coiled-coil containing ciliary protein, causes situs inversus due to dysmotility of monocilia in the left-right organizer. Hum Mutat. 2015; 36:307–318. doi: 10.1002/humu.22738 [DOI] [PubMed] [Google Scholar]
  • 52.Fuller ZL, Berg JJ, Mostafavi H, Sella G, Przeworski M: Measuring intolerance to mutation in human genetics. Nat Genet. 2019; 51:772–776. doi: 10.1038/s41588-019-0383-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Kumar S, Warrell J, Li S, McGillivray PD, Meyerson W, Salichos L, Harmanci A, Martinez-Fundichely A, Chan CWY, Nielsen MM, et al. : Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences. Cell. 2020; 180:915–927.e916. doi: 10.1016/j.cell.2020.01.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Nesti C, Meschini MC, Meunier B, Sacchini M, Doccini S, Romano A, Petrillo S, Pezzini I, Seddiki N, Rubegni A, et al. : Additive effect of nuclear and mitochondrial mutations in a patient with mitochondrial encephalomyopathy. Hum Mol Genet. 2015; 24:3248–3256. doi: 10.1093/hmg/ddv078 [DOI] [PubMed] [Google Scholar]
  • 55.Demily C, Lesca G, Poisson A, Till M, Barcia G, Chatron N, Sanlaville D, Munnich A: Additive Effect of Variably Penetrant 22q11.2 Duplication and Pathogenic Mutations in Autism Spectrum Disorder: To Which Extent Does the Tree Hide the Forest? J Autism Dev Disord. 2018; 48:2886–2889. doi: 10.1007/s10803-018-3552-7 [DOI] [PubMed] [Google Scholar]
  • 56.Mookerjee-Basu J, Hooper R, Gross S, Schultz B, Go CK, Samakai E, Ladner J, Nicolas E, Tian Y, Zhou B, et al. : Suppression of Ca(2+) signals by EGR4 controls Th1 differentiation and anti-cancer immunity in vivo. EMBO Rep. 2020; 21:e48904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.MacArthur DG, Manolio TA, Dimmock DP, Rehm HL, Shendure J, Abecasis GR, Adams DR, Altman RB, Antonarakis SE, Ashley EA et al. : Guidelines for investigating causality of sequence variants in human disease. Nature. 2014; 508(7497):469–476. doi: 10.1038/nature13127 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Strande NT, Riggs ER, Buchanan AH, Ceyhan-Birsoy O, DiStefano M, Dwight SS, Goldstein J, Ghosh R, Seifert BA, Sneddon TP et al. : Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource. American journal of human genetics. 2017; 100(6):895–906. doi: 10.1016/j.ajhg.2017.04.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Yu PC, Gu SY, Bu JW, Du JL: TRPC1 is essential for in vivo angiogenesis in zebrafish. Circ Res. 2010; 106:1221–1232. doi: 10.1161/CIRCRESAHA.109.207670 [DOI] [PubMed] [Google Scholar]
  • 60.Thisse C, Thisse B, Schilling TF, Postlethwait JH: Structure of the zebrafish snail1 gene and its expression in wild-type, spadetail and no tail mutant embryos. Development. 1993; 119:1203–1215. doi: 10.1242/dev.119.4.1203 [DOI] [PubMed] [Google Scholar]
  • 61.Xu B, Zhang Y, Du XF, Li J, Zi HX, Bu JW, Yan Y, Han H, Du JL: Neurons secrete miR-132-containing exosomes to regulate brain vascular integrity. Cell Res. 2017; 27:882–897. doi: 10.1038/cr.2017.62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Sampaio P, Ferreira RR, Smith DJ, Lopes SS: Left-right organizer flow dynamics: how much cilia activity reliably yields laterality? Dev Cell. 2014; 29(6):716–728 doi: 10.1016/j.devcel.2014.04.030 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Hua Tang, Giorgio Sirugo

5 Apr 2022

Dear Dr xu,

Thank you very much for submitting your Research Article entitled 'LOF variants identifying candidate genes of laterality defects patients with congenital heart disease' to PLOS Genetics.

The manuscript was fully evaluated at the editorial level and by 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.

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Giorgio Sirugo

Associate Editor

PLOS Genetics

Hua Tang

Section Editor: Human Variation

PLOS Genetics

Reviewer's Responses to Questions

Comments to the Authors:

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

Reviewer #1: The review was uploaded as an attachment

Reviewer #2: This manuscript uses whole-exome sequencing to identify some candidate genes that cause laterality defects in patients with congenital heart disease. The authors study the expression pattern of some of the identified genes in early zebrafish embryos and functionally validate them to find a role in the establishment of LR asymmetry in these embryos. The study is very comprehensive, is overall well executed and addresses an important topic that would interest to the broad audience of the PLOS Genetics journal. I have no major comments for authors to address prior to publication or experiments that clearly must be completed before publication, but I will include several points for them to consider below for revising the manuscript and considering additional experiments that would largely improve the manuscript.

The authors selected genes known to be involved in ciliogenesis. As cilia activity is known to be essential for LR axis establishment in zebrafish embryos, it is not surprising to find out that silencing of genes related to cilia biology/functionality causes LR defects in zebrafish. In line 185, the authors state that egr4 had no significant effect on heart looping. This reviewer wonders if the lack of laterality effect of egr4 relates to the fact that is the only gene out of the 4 genes selected that does not relate to cilia function. I wonder if other candidate genes identified by this technique but not related to cilia could have been functionally tested/validated by the authors in zebrafish. I believe that the manuscript will enormously benefit from those validations.

Minor comments:

- In figure 1, tail bud yellow arrow should be read instead of red arrow.

- In Figure 2, it is stated that 3 experiments of 50 animals each were done. Please, add error bars. Also, what Tg means?

- In Figure 3 and 4, please, add scale bars.

- In fig S2, specify the name of the domains in the figure legend.

Reviewer #3: In this article, the authors study loss-of-function (LOF) variants that may play a role in laterality defects. The authors recruited and performed whole-exome sequencing on 70 patients with laterality defects and congenital heart disease and on 100 healthy individuals, from which they identified 39 genes that satisfied specific criteria for candidate variants. From these 39 genes, the authors chose TRIP11, DNHD1, CFAP74, and EGR4 as candidate genes for their study, because they were associated with functions that could play a role in LR patterning. The authors chose zebrafish as a model to study whether the knock down of these genes affect cardiac development and LR patterning. The authors argue that four of their five candidate genes (TRIP11, DNHD1, CFAP74) resulted in cardiac looping defects, ectopic expression of nodal-responsive genes and altered formation and function of cilia, suggesting that the LOF of these genes may play a role in human laterality defects.

Although the topic of concern is of great importance and also of interest to the general public, and the data presented in the manuscript may support the claims made by the authors, I have several concerns detailed below:

Major comments:

1.- In Page 8, the authors state that their analysis filtered the candidate variants to 10226 potential variants and that, to narrow the range of options, they selected for specific LOF variants, which resulted in 827 candidate variants. However, these variants did not include any known L-R pattern-related genes, which I found striking. Could the authors comment on why they think that’s the case? Are mutations of LR pattern-related genes not common?

2.- Related to the previous question, in page 17, at the end of the results question, the authors screen the data of the 70 patients for sequences of the candidate genes TRIP11, DNHD1, and CFAP74, and they only find ten rare heterozygous variants, specifically of just DNHD1 and CFAP74. How did TRIP11 appear as a candidate before if it is not found present among the patients? I guess my question is, how is table 3 different from table S2? I am not sure if I understood the differences in data analysis between the beginning and the final screenings, but I would expect to find mutations for TRIP11, DNHD1, CFAP74, and EGR4 among the 70 patients.

3.- In Figure 1, the authors show the expression pattern of the chosen candidate genes to study the effect of their LOF. In page 14, the authors argue that “based on these expression patterns, all candidate genes had a potential role in LR patterning and cardiovascular development.” I struggle to understand this claim, as their expressions seem homogeneous at 12hpf, and their localizations at 24hpf seem to be mostly in the brain or pronephric duct. Could the authors expand on this claim?

3.A.- Is there any left-right asymmetry in the expression of these genes? Maybe a dorsal view of the expression of these genes in Figure 1 would be informative.

3.B.- Is there any expression close to the KV? For example, mmp21, a gene showed to be required for normal left-right asymmetry, and which paper is cited by the authors, shows an expression restricted to the KV at 12hpf.

4.- While images characterizing possible phenotypes observed in zebrafish are shown for reference, only the summary quantification of the phenotypes observed under each mutation are provided. While I understand space constraints in the article, I believe the raw data, or at least part of it, showing the phenotypes for control and each mutant embryo (as in Figure 4C) should be provided in the supplementary material. For example, in Figure 3 A-C, the authors show the four observed expression patterns for spaw, lefty2 and pitx2, and then, Figure 3 D-F, show the quantification of these patterns for each mutant. I think it is necessary to be able to check at least representative images for such phenotypes for each mutant.

5.- It is argued that egr4 LOF does not result in laterality defects. However, its used MO dosage is significantly lower compared to such used for the other morpholinos, could that be the reason? And related to this, I was wondering why two concentrations of standard morpholinos are used as control instead of using an uninjected condition together with a standard morpholino condition as controls.

Minor comments & Typos:

1.- Line 73: “et al.” should be changed to “etc.”

2.- In Figure 4A, the authors state that different sizes of KV are found at the 10-somite stage: normal, small and tiny. However, only two sizes (normal and small) are shown in the figure.

3.- The quantifications in Figure 4E show a significant difference between std cilia length and cfap74 cilia length, however, in Figure 4C cfap74 cilia length looks similar, if not longer, than std cilia length.

4.- Table 4 shows a mutation in patient 14, while table 3 numbers this patient as 15.

Reviewer #4: This is a manuscript describing exome sequencing results on a group of children affected with heterotaxy including complex congenital heart defects. This is a well known class of birth defects with difficult genetic contributions. Some patients have Mendelian inheritance but in many others it has not been possible to find genetic causes. This paper could contribute to the literature by identifying several new candidate genes. Strengths of the work include the use of exome sequencing to survey most of the known human coding sequence and the use of zebrafish models to evaluate a highly selected group of genes that may play a role in left right patterning. Weaknesses include the modest sample size, the lack of information about inheritance in each case, and the lack of structured summary of evidence for a causal role for each gene and variant.

Critique:

1. The methods for annotation of the gene variants are not current. The investigators should include information from gnomAD not just for variant allele frequency but also for LoF tolerance measures. REVEL scores are also readily available from public resources and should be included with the other deleteriousness metrics like the CADD scores.

2. Unfortunately parent samples are not included in the analysis and so it is not possible to evaluate for de novo occurrence. If the variants were transmitted from unaffected parents it would have also been useful to verify that they did not have milder phenotypes.

3. The investigators have not used MacArthur et al (Guidelines for investigating causality of sequence variants in human disease Nature. 2014 Apr 24;508(7497):469-76. doi: 10.1038/nature13127.) or the ClinGen gene curation framework (Am J Hum Genet. 2017 Jun 1;100(6):895-906. doi: 10.1016/j.ajhg.2017.04.015) to critically evaluate the evidence that they have accumulated in this study.

4. It would be helpful to include a decision tree or similar graphical representation of the gene filtering strategy described in the Results. It is currently hard to follow how the focus was narrowed to the four genes analyzed in the zebrafish model.

5. The cases with other deleterious variants (beginning line 240 page 17) are not clearly described. The text says four genes but only three are listed. The total number of cases where there is a candidate deleterious variant among all 70 cases is not clear. The phenotypes of these cases is not clear.

**********

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: No: No numerical data that underlie the figure and statistics have been provided

Reviewer #2: None

Reviewer #3: No: As included in the review: While images characterizing possible phenotypes observed in zebrafish are shown for reference, only the summary quantification of the phenotypes observed under each mutation are provided. While I understand space constraints in the article, I believe the raw data, or at least part of it, showing the phenotypes for control and each mutant embryo (as in Figure 4C) should be provided in the supplementary material. For example, in Figure 3 A-C, the authors show the four observed expression patterns for spaw, lefty2 and pitx2, and then, Figure 3 D-F, show the quantification of these patterns for each mutant. I think it is necessary to be able to check at least representative images for such phenotypes in each mutant.

Reviewer #4: Yes

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Reviewer #4: No

Attachment

Submitted filename: Reviewer comments.pdf

Decision Letter 1

Hua Tang, Giorgio Sirugo

5 Oct 2022

Dear Dr xu,

Thank you very much for submitting your Research Article entitled 'LOF variants identifying candidate genes of laterality defects patients with congenital heart disease' to PLOS Genetics.

The manuscript was fully evaluated at the editorial level and by 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 point made by reviewer #1 on gene expression data.

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

Yours sincerely,

Giorgio Sirugo

Academic Editor

PLOS Genetics

Hua Tang

Section Editor

PLOS Genetics

Reviewer's Responses to Questions

Comments to the Authors:

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

Reviewer #1: Reviewer comments

The authors have considerably improved the manuscript. It is now possible to follow the choices that ended with 4 genes being selected.

I am mostly satisfied by their answers to my comments.

Major comment:

Major comment 6 on CRISPR: I understand that knockout efficiency can be assessed by sequencing, but I was asking for gene expression, which the authors already do in Fig.S3 to assess the MOs effectiveness. I would insist on seeing those results, especially since the F0 show a much-reduced effect than the MOs, they are closer to the MO+mRNA results (It would maybe make sense to put all the graphs with the same y-axis range so they can be compared properly).

If the authors did not keep any of the samples from the F0, then it would be unreasonable to redo the experiments, especially as F0 would potentially differ.

Minor comments

Line 175-176 I am not convinced by the egr4 ubiquitous expression claim at 24hpf, it seems localized mostly in the brain. Although it is consistent with the lack of effect of egr4. However, this is not central to the conclusions.

Line 147. The authors should explicitly state the lack of homolog gene in zebrafish

Figure 1. lacks a legend, most of it is self-explanatory, but it would help to guide the reader through the figure.

Figure 3. Titles over the different subpanels would clarify how each of the graphs are different. (3C) The typesetting of the MO+mRNA should be fixed. 3D should have a similar y axis as 3B and 3C to ensure proper comparison.

The multiple comparison adjustment used in the tests should be indicated either in the methods or figure legend.

Reviewer #2: The authors have addressed my concerns and I have no further comments.

Reviewer #3: I would like to thank the authors for taking the time to address my concerns. I believe the text is now more clear and the results more compelling. A last note is that the figures seem to have low resolution and are very pixelated after the revision. Hope the final figures have higher resolution.

The authors have now addressed all my concerns and I am happy to recommend this article for publication.

Reviewer #4: The authors have addressed all the comments of the reviewers and made appropriate revisions.

**********

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: No: The raw data is available, but the authors are not sharing the 827 variants of interest they have identified as they are still working on those. I think these would represent the minimal dataset required to reproduce the results.

Reviewer #2: Yes

Reviewer #3: No: The authors state "All the sequencing dataset files are available from the the China National GeneBank

database (https://db.cngb.org/cnsa/). Data is currently being uploaded and the code

will be added afterward.". Maybe the data will be there after publication.

Reviewer #4: Yes

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Reviewer #4: No

Decision Letter 2

Hua Tang, Giorgio Sirugo

15 Nov 2022

Dear Dr xu,

We are pleased to inform you that your manuscript entitled "LOF variants identifying candidate genes of laterality defects patients with congenital heart disease" 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.

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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.

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

Yours sincerely,

Giorgio Sirugo

Academic Editor

PLOS Genetics

Hua Tang

Section Editor

PLOS Genetics

www.plosgenetics.org

Twitter: @PLOSGenetics

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

Comments from the reviewers (if applicable):

Reviewer's Responses to Questions

Comments to the Authors:

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

Reviewer #1: I am satisfied with the changes and recognize the difficulty of validating the CRISPR.

**********

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

**********

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

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

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Acceptance letter

Hua Tang, Giorgio Sirugo

25 Nov 2022

PGENETICS-D-22-00242R2

LOF variants identifying candidate genes of laterality defects patients with congenital heart disease

Dear Dr xu,

We are pleased to inform you that your manuscript entitled "LOF variants identifying candidate genes of laterality defects patients with congenital heart disease" 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,

Anita Estes

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. Sanger sequencing shows loss-of-function variants.

    (a, b) Sanger sequencing shows frameshift or nonsense variants in TRIP11. (c, g, h) Sanger sequencing shows frameshift, splice-region mutant alleles or nonsense variants in DNHD1. (i, m, n) Sanger sequencing shows frameshift or nonsense variants in CFAP74. (o, s) Sanger sequencing shows frameshift variants in EGR4. (d, e, f, j, k, l, p, q, r, v) Sanger sequencing shows normal results that did not alter the sequences.

    (TIF)

    S2 Fig. Schematic representation of the domains of four candidate genes and the position variants.

    (a) the position of domains and variants in TRIP11. ALPS, ALPS (amphipathic lipid-packing sensor) motif; GRAB, GRAB (Grip-related Arf-binding) domain; GA1, GRAB-associated region. (b) the position of domains and variants in DNHD1. MTBD, microtubule-binding domain. (c) the position of domains and variants in CFAP74. TPH, Trichohyalin-plectin-homology domain. (d) the position of domains and variants in EGR4.

    (TIF)

    S3 Fig. The effectiveness of the MOs.

    (a-b) The RT-PCR (reverse transcription-PCR) results were conducted to analyze the efficiency of sb-MOs targeting trip11, and dnhd1. Total RNA was extracted from 2 dpf zebrafish embryos. (a) The trip11 splice blocking morpholino (sb-MO) targets the junction of intron 1–2 and exon 2 resulting in a shorter exon 2. (b) The dnhd1 sb-MO target the junction of exon 2, and intron 2–3 results in a shorter exon 2. (c,d) The egr4 MO and cfap74 MO target AUG result in lower protein expression. (c) Fluorescent immunostaining of zebrafish embryo using anti-GFP antibodies in Std embryos and cfap74 morphants. The fusion gene vector and cfap74 MO or control MO were microinjected at the one-cell stage. (d) Western blot revealed knockdown of protein expression in egr4 morphants. Anti-actin was used as a loading control. Proteins were extracted from 3 dpf zebrafish embryos. Std standard control; ex, exon; in, intron.

    (TIF)

    S4 Fig. Sequencing analysis of the knockout results.

    Sequence analysis of trip11, dnhd1, cfap74, and egr4 mutations caused by co-injection of zebrafish codon-optimized protein and corresponding gRNA. The red fonts show the target sites of gRNA, yellow fonts and blanks show mutated sequences, and the green fonts show the PAM sequences.

    (TIF)

    S1 Table. The bioinformatics information of 776 candidate LOF variants.

    (XLSX)

    S2 Table. The bioinformatics information on the variants of patients with selected LOF mutations.

    (DOCX)

    S3 Table. The bioinformatics information on the variants of candidate genes.

    (DOCX)

    S4 Table. Clinical phenotypes of laterality defects patients with rare nonsynonymous variants of three candidate genes.

    (DOCX)

    S5 Table. The primers of Sanger sequencing.

    (DOCX)

    S6 Table. Antisense RNA probes conducted for whole mount in situs hybridization.

    (DOCX)

    S7 Table. MO sequences, injection doses, and total embryo numbers analyzed for heart looping and gene expression.

    (DOCX)

    S8 Table. The primers of MOs’ effectiveness evaluation.

    (DOCX)

    S9 Table. The sequences and doses of gRNA.

    (DOCX)

    S10 Table. The primers of CRISPR/Cas9-mediated gene editing effectiveness evaluation.

    (DOCX)

    S11 Table. MO and mRNA injection doses, and total embryo numbers analyzed for rescue.

    (DOCX)

    S12 Table. Total number of KV and cilia for cilia length and CBF.

    (DOCX)

    S13 Table. The numerical data that underlie the figure and statistics.

    (XLSX)

    S1 Movie. The motion of motile cilia in control morphants.

    (RAR)

    S2 Movie. The motion of motile cilia in trip11 morphants.

    (RAR)

    S3 Movie. The motion of motile cilia in dnhd1 morphants.

    (RAR)

    S4 Movie. The motion of motile cilia in cfap74 morphants.

    (RAR)

    Attachment

    Submitted filename: Reviewer comments.pdf

    Attachment

    Submitted filename: reply to reviewer4.docx

    Attachment

    Submitted filename: reply to reviewer1.docx

    Data Availability Statement

    The sequencing datasets generated and analyzed during the current study are available in the China National GeneBank database (https://db.cngb.org/cnsa/). The accession number of dataset is OEP002514. (https://www.biosino.org/node/project/detail/OEP002514). The numerical data that underlie the figure and statistics are shown in S13 Table.


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