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Identification and characterisation of spontaneous mutations causing deafness from a targeted knockout programme



Mice carrying targeted mutations are important for investigating gene function and the role of genes in disease, but off-target mutagenic effects associated with the processes of generating targeted alleles, for instance using Crispr, and culturing embryonic stem cells, offer opportunities for spontaneous mutations to arise. Identifying spontaneous mutations relies on the detection of phenotypes segregating independently of targeted alleles, and having a broad estimate of the level of mutations generated by intensive breeding programmes is difficult given that many phenotypes are easy to miss if not specifically looked for. Here we present data from a large, targeted knockout programme in which mice were analysed through a phenotyping pipeline. Such spontaneous mutations segregating within mutant lines may confound phenotypic analyses, highlighting the importance of record-keeping and maintaining correct pedigrees.


Twenty-five lines out of 1311 displayed different deafness phenotypes that did not segregate with the targeted allele. We observed a variety of phenotypes by Auditory Brainstem Response (ABR) and behavioural assessment and isolated eight lines showing early-onset severe progressive hearing loss, later-onset progressive hearing loss, low frequency hearing loss, or complete deafness, with vestibular dysfunction. The causative mutations identified include deletions, insertions, and point mutations, some of which involve new genes not previously associated with deafness while others are new alleles of genes known to underlie hearing loss. Two of the latter show a phenotype much reduced in severity compared to other mutant alleles of the same gene. We investigated the ES cells from which these lines were derived and determined that only one of the 8 mutations could have arisen in the ES cell, and in that case, only after targeting. Instead, most of the non-segregating mutations appear to have occurred during breeding of mutant mice. In one case, the mutation arose within the wildtype colony used for expanding mutant lines.


Our data show that spontaneous mutations with observable effects on phenotype are a common side effect of intensive breeding programmes, including those underlying targeted mutation programmes. Such spontaneous mutations segregating within mutant lines may confound phenotypic analyses, highlighting the importance of record-keeping and maintaining correct pedigrees.


Manipulating embryonic stem (ES) cells to insert or alter DNA to study the effect of targeted genes in the resulting organism is a widely practised technique, and the creation and characterisation of mutant organisms are key steps in exploring gene function. The advent of the CRISPR-Cas9 system has prompted exploration of its potential unwanted off-target mutagenic effects, which are of particular concern for its use as a therapeutic tool. While some studies have reported that off-target effects are “minimal and manageable” [1, 2], with no increase in mutation frequency [2, 3], others have shown that off-target mutations do occur and even alleles present at a low frequency in a G0 mosaic founder could be transmitted to offspring in mice [4]. The creation of targeted mutant alleles involves manipulation of ES cells, and although the mutation frequency is lower in ES cells than in somatic cells [5], mutations do still occur, particularly when the ES cells have been through multiple passages [6]. Spontaneous mutations may thus arise at any point during the process of making a specific allele, including breeding of the resultant organisms.

The Sanger Institute Mouse Genetics Project was a large-scale programme that generated and screened mice carrying knockdown alleles created by the KOMP (Knock Out Mouse Programme) and EUCOMM (European Conditional Mouse Mutagenesis) programmes [7,8,9]. Each mouse line established carried a single-targeted knockout allele, and animals from each line were put through a wide range of phenotyping tests [9]. One of the tests used was the Auditory Brainstem Response (ABR), a highly sensitive test capable of detecting subtle hearing defects [10, 11]. Vestibular defects leading to balance problems such as circling and head-bobbing were also noted. This enabled the detection of auditory and vestibular phenotypes which did not segregate with the targeted allele and are likely to have been caused by spontaneous mutations. Of the 1311 lines tested, including 2218 wildtype mice and 6798 mutants, we found 25 lines with non-segregating phenotypes. We therefore set out to investigate these spontaneous mutations, firstly in order to better understand how they arose within the Mouse Genetics Project and secondly to identify the genes involved.


Identification of spontaneous mutations affecting hearing

From our routine ABR screening of mice carrying targeted knockout alleles, we identified twenty-two lines where a hearing impairment phenotype did not segregate with the targeted allele (Fig. 1, Table 1). An additional four lines were discovered because they displayed a vestibular defect, one of which (MFFD) had also been detected through the ABR screen, making twenty-five lines in total. In this study, a mouse line or colony refers to mice descended from a single-mouse carrying a targeted knockout allele bred to a wildtype mouse of the same background. Line or colony names (MXXX) were arbitrarily assigned to each breeding colony to use as part of the unique identifier of each mouse and refer to mice carrying both mutant and wildtype alleles within each colony. After each mouse with an aberrant phenotype was discovered, we screened closely related mice from the same colony and were able to obtain eight mutant lines displaying reliable inheritance of the observed phenotype (Table 1). We used a standard positional cloning approach to identify the mutations. We set up backcrosses to identify the critical chromosomal region for each mutation (Additional File 1: Fig. S1) and carried out whole exome sequencing to identify candidate mutations within each region. We resequenced candidate variants by Sanger sequencing and tested the segregation of the candidate mutation with the phenotype. For two mutations, we confirmed causation using a complementation test. We were able to identify the causative mutation in all eight lines (Table 1), one of which, S1pr2stdf, has already been described [12]. We then confirmed the presence of one of the mutations in 8 more lines, all displaying the same unusual phenotype. Of the 25 lines with aberrant phenotypes, we have identified the causative mutation in 16 of them.

Fig. 1
figure 1

ABR thresholds from 22 targeted lines displaying non-segregating hearing loss. ABR thresholds showing individual mice from targeted mutant lines displaying hearing loss (filled symbols) which does not segregate with the targeted mutant allele (red, inverted triangles) from the original ABR screen. Mice with normal hearing are shown with empty symbols, and black triangles indicate mice which were wildtype for the targeted mutant allele. Affected mice from the MAKN, MFFD and MUBE lines (top) were almost completely deaf. Affected mice from the MEEK and MEBJ colonies exhibited severe hearing loss, while affected mice from the MBVF colony exhibited varying degrees of hearing loss across all frequencies. Affected mice from the MOAA, MCND, MCFC, MFYJ and MGQK colonies (second and third lines) had hearing loss affecting only the higher frequencies, while the remaining eleven colonies all exhibited hearing loss affecting primarily the low frequencies. The shaded pale green area on each panel denotes the 95% reference range for a large population of control wildtype mice derived from littermates of the tested mice, defined in [11]. All mice were tested at 14 weeks old. Mice from three other lines which exhibited non-segregating hearing loss were detected because of their vestibular phenotype (due to the Tbx1ttch, Pcdh15jigl and Espnspdz alleles) and did not undergo ABRs as part of the ABR screening pipeline. MAKN n = 7 unaffected, 3 affected; MFFD n = 5 unaffected, 1 affected; MUBE n = 4 unaffected, 2 affected; MEEK n = 5 unaffected, 1 affected; MEBJ n = 4 unaffected, 2 affected; MBVF n = 11 unaffected, 6 affected; MOAA n = 3 unaffected, 6 affected; MCND n = 9 unaffected, 5 affected; MCFC n = 7 unaffected, 3 affected; MFYJ n = 3 unaffected, 4 affected; MGKQ n = 9 unaffected, 1 affected; MCRU n = 11 unaffected, 1 affected; MCSJ n = 7 unaffected, 2 affected; METD n = 7 unaffected, 1 affected; MDEU n = 5 unaffected, 2 affected; MCFF n = 16 unaffected, 1 affected; MCBX n = 9 unaffected, 5 affected; MCKG n = 8 unaffected, 2 affected; MCVL n = 7 unaffected, 2 affected; MCTP n = 7 unaffected, 5 affected; MBYL n = 5 unaffected, 1 affected; MATH n = 8 unaffected, 3 affected. Data underlying these plots are in Additional File 3

Table 1 Summary of the 25 lines found to have a spontaneous mutation affecting hearing

The Klhl18 lowf allele (MCBX colony): low frequency progressive hearing loss

Mice homozygous for this mutation displayed the unusual phenotype of low frequency hearing loss (lowf) (Fig. 2a). We mapped the mutation to a 5.7 Mb region on chromosome 9 (Additional File 1: Fig. S1), in which we found 3 exonic variants (Additional File 2: Table S1), two of which proved to be false calls when resequenced using Sanger sequencing. The third variant was a missense variant in the gene Klhl18, g.9:110455454C > A, causing an amino acid change of p.(Val55Phe) (ENSMUST00000068025) (Fig. 2b, c). We used Phyre2 [15] to create a model of KLHL18 based on two structures, a Plasmodium falciparum Kelch protein [16] and the crystal structure of the BTB-BACK domains of human KLHL11 [17] (Fig. 2d). The affected residue lies in the BTB domain, which is involved in protein–protein interaction, including homodimerization [18,19,20]. The mutant phenylalanine, being much larger than the wildtype valine, could potentially disrupt the BTB domain and thus protein function. We confirmed that this was the causative mutation by complementation testing with mice carrying the Klhl18tm1a(KOMP)Wtsi targeted allele [9, 11] (Fig. 2e). Middle ear dissection and inner ear clearing showed no gross malformations of the ossicles or the inner ear (Additional File 1: Figs S2, S3). This phenotype was observed in eleven different lines in total (Fig. 1), so we sequenced affected mice from eight more of these lines (in addition to the MCBX line) and discovered that all the affected mice (n = 15) were homozygous for the Klhl18lowf allele, while unaffected littermates (n = 8) were heterozygous or wildtype. We were not able to obtain DNA samples from affected mice of the remaining two lines (MCVL, METD). Further characterisation of the unusual Klhl18lowf phenotype is described in [21].

Fig. 2
figure 2

Mutations in Klhl18 cause low frequency hearing loss. a Mean ABR thresholds from mice tested during establishment of the breeding colony derived from the MCBX colony. Mice were tested between 33 and 89 days old, and grouped into affected (n = 221, orange triangles) and unaffected (n = 213, teal circles) based on the bimodal distributions of thresholds for clicks and 6 kHz stimuli. Plots of individual ABR thresholds (grey) are shown separately with the mean trace indicated by coloured lines and symbols; error bars on mean trace are standard deviations. b Sequence traces from two unaffected mice (one wildtype, one heterozygote) and an affected mouse (homozygote) showing the variant Klhl18lowf (MCBX colony), p.V55F. c Clustal alignment from mouse, human, chicken, anole lizard, frog and zebrafish showing that the affected amino acid is highly conserved (red box). d Close-up of the BTB domain (pale cyan) showing the amino acid structures for the wildtype residue (blue, left) and the mutant residue (orange, right). e Mean ABR thresholds from mice heterozygous for the lowf allele (n = 13, blue circles) and compound heterozygotes carrying the lowf allele and the Klhl18tm1a allele (n = 17, purple triangles), demonstrating the low frequency hearing loss phenotype. Individual traces for the compound heterozygotes are shown in grey; error bars on mean trace are standard deviations. Data underlying plots in this figure are in Additional File 3

The Atp2b2 Tkh allele (MEBJ colony): semidominant progressive hearing loss

The Tikho (Tkh, Russian for “quiet”) mutation was mapped to a 5.2 Mb region on chromosome 6 (Additional File 1: Fig. S1). We found one exonic single-nucleotide variant (SNV) in this region (Additional File 2: Table S1), a missense mutation in the Atp2b2 gene, g.6:113759212G > C, causing an amino acid change of p.(Arg969Gly) (ENSMUST00000101045) (Fig. 3a, b). Mice homozygous for this allele exhibited rapidly progressive hearing loss, while heterozygotes displayed slower progressive hearing loss, with the high frequencies affected first (Fig. 3c, Additional File 1: Fig. S4). Homozygotes and heterozygotes displayed normal gait and balance. We sequenced mice from the breeding colony and confirmed the segregation of the allele with the phenotypes observed. No gross malformations of the ossicles or inner ear were observed (Additional File 1: Figs S2, S3). We used quantitative PCR (qpCR) to test RNA expression and immunohistochemistry to study protein localisation, but found no difference between wildtypes, heterozygotes and homozygotes in either test (Fig. 3d, e), suggesting that the variant does not affect mRNA transcription or protein localisation. We modelled the mutation using a model of the rabbit skeletal muscle Ca2+-ATPase [22], which matches 75% of the residues with 100% confidence. This includes the mutant residue, which lies in the cytoplasmic domain between transmembrane domains 8 and 9. There are 14 reported Atp2b2 mouse mutants with a hearing phenotype, 10 of which result from a single amino acid change (Fig. 3f [23]). Only the Deaf11 and Deaf13 missense alleles are like the Tkh allele in that they do not result in ataxia in homozygotes [24,25,26,27,28,29,30,31,32,33,34,35,36]. The three closest missense mutations are Obv, m1Btlr and Deaf11, all of which lie within 100 amino acids of the mutated Tkh residue (Fig. 3f, g).

Fig. 3
figure 3

A missense mutation in Atp2b2 results in semidominant progressive hearing loss. a Sequence traces from an unaffected and an affected mouse showing the variant Atp2b2Tkh (MEBJ colony), p.R969G. b Clustal alignment from mouse, human, chicken, anole lizard, frog and zebrafish showing that the affected amino acid is highly conserved (red box). c Mean ABR thresholds from wildtype (black inverted triangles), heterozygote (blue circles) and homozygote (red triangles) mice at P28-P31 (n = 10 wildtypes, 27 heterozygotes, 9 homozygotes), P55-P58 (n = 9 wildtypes, 24 heterozygotes, 6 homozygotes) and P71-P101 (n = 9 wildtypes, 24 heterozygotes, 6 homozygotes). Error bars are standard deviations. d Jag1 and Atp2b2 qPCR on RNA from the organ of Corti at P4 (n = 6 wildtypes, 6 heterozygotes and 6 homozygotes). There was no difference between the Jag1 levels of wildtypes, heterozygotes and homozygotes (p = 0.307, Welch’s one-way ANOVA). We found a marginally significant difference in Atp2b2 levels (p = 0.036, Welch’s one-way ANOVA), but this was not borne out by the post hoc Games-Howell multiple comparison test (p = 0.052 for wildtypes compared to heterozygotes, p = 0.379 for wildtypes compared to homozygotes, p = 0.553 for heterozygotes compared to homozygotes). The bars show the mean expression levels, and error bars are standard deviations. e PMCA2 antibody stains at P4 (n = 3 wildtypes, 3 heterozygotes, 3 homozygotes), showing hair cells from the region 43% of the distance along the organ of Corti from base to apex. Images are representative examples for each genotype, and no differences were observed between genotypes. Arrowheads indicate the hair cells, red for the inner hair cell and black for the outer hair cells. Scale bar = 20 µm. f Schematic of PMCA2 protein showing the 10 transmembrane helices and the 11 known missense mutations [24, 25, 29,30,31,32,33,34, 36]). g Model of PMCA2 protein with the amino acid affected by the Tkh allele in orange. The four other missense mutations located in or near the transmembrane helices are also visible, shown in green (Obv [31]), dark red (Deaf11 [25]), olive yellow (wri [33]) and purple (M1Btlr [29]). The wildtype amino acid structures are shown for all four residues. Data underlying plots in this figure are in Additional File 3

The Del(10Map3k5-Map7)2Kcl allele (MEEK colony): progressive hearing loss and male sterility

The rhyme (rhme) allele was observed to cause male sterility; no pregnancies or pups were obtained from twelve different affected males, paired in matings for at least 66 days. Affected females were fully fertile. We mapped the mutation to a 7 Mb region on chromosome 10 (Additional File 1: Fig. S1), but there were no exonic variants in the region, only an interchromosomal translocation from chr10 to chr13 predicted by BreakDancer (Additional File 2: Table S1), which proved to be a false call when we carried out Sanger sequencing across the predicted breakpoint. We then looked for deletions of whole exons, using the Integrative Genomics Viewer (IGV) to view all reads aligned to the region, and found a large candidate deletion which we confirmed by segregation testing in phenotyped mice. The causative mutation is a 36.7 kb deletion, g.10:20116294_20153024del, which includes the last 9 exons of Map3k5 and the first exon of Map7 (Fig. 4a). Mutations in Map7 have been associated with male sterility [37, 38], but Map3k5 homozygote mice have been reported to be fertile [39], suggesting that the loss of the first exon of Map7 is affecting MAP7 protein function, resulting in the observed infertility in rhme affected males. Male and female homozygotes for the rhme deletion had raised thresholds at high frequencies at 4 weeks old, and the hearing loss progressed with age (Fig. 4b, Additional File 1: Fig. S4). No gross malformations of the ossicles or inner ear were observed (Additional File 1: Figs S2, S3). We investigated the hair cells of affected adults using immunohistochemistry and found the organ of Corti was disrupted towards the basal regions, with loss of outer hair cells and disruption and collapse of the tunnel of Corti (Fig. 4c). We investigated the expression of Map7 and Map3k5 using single-cell RNA sequencing (RNAseq) data from the gEAR database [40] and found that while Map3k5 showed low expression in most cell types of the cochlear duct, Map7 was expressed in multiple cell types, in particular the outer hair cells and outer pillar cells, increasing over time in both. Map7 is also expressed in the lateral wall, although not as strongly (Additional File 1: Fig. S5).

Fig. 4
figure 4

The rhme deletion spanning Map3k5 and Map7 causes progressive hearing loss and disrupts the organ of Corti. a Schematic of the rhme deletion seen in the MEEK line showing the different isoforms of the two affected genes (not to scale). Red indicates missing exons. b Mean ABR thresholds showing progressive hearing loss in mice homozygous for the deletion (wildtype shown by black inverted triangles, heterozygote by blue circles, homozygotes by red triangles) (n = 1 wildtype, 6 heterozygotes and 12 homozygotes at P28-32; 1 wildtype, 19 heterozygotes and 11 homozygotes at P42-57; 1 wildtype, 5 heterozygotes and 6 homozygotes at P63-84 (see Additional File 1: Fig. S9a for individual thresholds)). Traces from individual homozygotes are shown in grey; error bars on mean trace are standard deviations. c Expression of MYO7A, a hair cell marker, in the organ of Corti of adult mice showing an apical turn (top; 94% of the distance along the organ of Corti from base to apex), where the hair cells are still present in affected mice, and a mid-basal turn (bottom, 43% of the distance from base to apex), where only the inner hair cell is identifiable (hair cells are marked with arrowheads; red for inner hair cells, black for outer hair cells). Brown indicates where MYO7A is expressed. Three affected and 3 unaffected littermates (at matched ages between 33 and 84 days old) were examined, and the images shown are representative of our observations. Scale bar = 50 µm. Data underlying plots in this figure are in Additional File 3

The Tbx1 ttch allele (MDLY colony): complete deafness with vestibular dysfunction

Mice homozygous for the twitch (ttch) allele exhibited circling and head bobbing behaviour and had no response to any stimulus up to 95 dB, the maximum sound output of our equipment (Fig. 5a). The ossicles were normal in appearance (Additional File 1: Fig. S2), but we observed signs of inflammation in the middle ear at postnatal day (P)28 (serous effusion, thickened epithelia and capillary hyperplasia) which were more common in affected mice. The gross morphology of the vestibular region was severely affected, with very thin or absent semicircular canals (Fig. 5g). The inner ears of P4 pups displayed a reduced scala media and a thinner stria vascularis at early postnatal stages, although the hair cells appear to have developed normally (Fig. 5d). The saccule had collapsed, but the utricular lumen remained open (Fig. 5d). At adult stages, the scala media was even smaller, with a thin or absent stria vascularis, a collapsed Reissner’s membrane, extensive degeneration of the organ of Corti, and spiral ganglion cell loss (Fig. 5e). Both utriculus and sacculus had collapsed, and the hair cells in the utricle appeared disorganised (Fig. 5e). We mapped the mutation to a 3 Mb region on chromosome 16 (Additional File 1: Fig. S1), which contained only 1 exonic SNV (Additional File 2: Table S1), which segregated with the phenotype in the colony. This was a missense variant in Tbx1, g.16:18584128C > T, which results in an amino acid change of p.(Asp212Asn) (ENSMUST00000232335) (Fig. 5b, c). Asp212 is the same amino acid affected by the recently-reported nmf219 mutation, which has a very similar inner ear phenotype [41], although the underlying coding change (g.16:18584127 T > C), and the resulting amino acid change (Asp212Gly), both differ (Fig. 5f). TBX1 binds to DNA as a dimer, and Asp212 is located between the two monomers, so amino acid changes could potentially affect the structure of the dimer and its capacity to bind DNA [41] (Fig. 5c). Many other Tbx1 mutant alleles are homozygous perinatal lethal [42,43,44,45], with gross morphological abnormalities evident as early as embryonic day (E) 8.5 [43], but neither of these Asp212 mutants show reduced viability of homozygotes. We carried out a complementation test with the Tbx1tm1Bld allele [45] and found that the inner ears of compound heterozygotes were notably smaller than those of littermates carrying one copy of the ttch allele and had malformed semicircular canals (Fig. 5f). This phenotype, which resembled that of Tbx1ttch homozygotes, confirmed that the ttch allele is the causative mutation.

Fig. 5
figure 5

A missense mutation in Tbx1 causes malformation of the semicircular canals and profound deafness. a Mean ABR thresholds from P28 mice homozygous (n = 6, red triangles), heterozygous (n = 10, blue circles) and wildtype (n = 4, black inverted triangles) for the Tbx1ttch allele (MDLY colony), p.D212N. Error bars are standard deviations. See Additional File 1: Fig. S9b for individual thresholds. b Sequence traces from an unaffected and an affected mouse showing the variant. c Clustal alignment showing conservation of the affected amino acid (red box). d P4 sections showing the cochlear duct (top, anti-MYO7A brown stain, blue counterstain, 43% of the distance along the organ of Corti from base to apex) and the maculae (bottom, trichrome staining) (n = 3 affected, 3 unaffected littermates). MYO7A is expressed in hair cells (arrowheads; red/black for inner/outer hair cells) and the intermediate cells of the stria vascularis. e Trichrome-stained sections from adult mice (n = 4 affected, 4 unaffected littermates) showing the cochlear duct (top, 72% of the distance along the organ of Corti from base to apex) and the maculae (bottom). Brackets mark the organ of Corti and the spiral ganglion area is circled. Square brackets indicate abnormal saccular hair cells. In d and e, main panel scale bars = 50 µm, high magnification panel scale bars = 20 µm. Asterisks mark Reissner’s membrane, twin open arrowheads the stria vascularis, and arrows the collapsed saccule. f Human TBX1 protein model [104], as a homodimer (silver, gold) bound to DNA (pale green). The Asp212 residue is marked in blue (top), with the nmf219 mutant residue [41] in cyan (middle) and the ttch mutant residue in magenta (bottom). g MicroCT scans of cleared inner ears from affected P28 mice (n = 3, middle) and compound heterozygotes (Tbx1tm1Bld/ttch) at P21 (n = 2, bottom). An unaffected P21 mouse is shown at the top (P21 n = 4; P28 n = 3). Dashed lines outline the semicircular canals, with twin arrowheads for comparison of their width. The middle ear side, with the round (RW) and oval (OW) windows (dotted lines) is on the left, and the brain side, where the cochlear nerve exits (CN, dotted lines), on the right. Brackets indicate the cochlea (Co) and vestibular region (Ve). LSC = lateral semicircular canal; SSC = superior semicircular canal; PSC = posterior semicircular canal, CC = common crus. Scale bar = 1 mm. Data underlying plots in this figure are in Additional File 3

We also identified two other variants in this line before the non-recombinant region was fully defined; a 27 bp inframe deletion in the Kmt2d gene which underlies Kabuki syndrome in humans [46] (Additional File 1: Fig. S6a), and a missense mutation in the gene Muc13 (Additional File 1: Fig. S6c, d). These mutations were confirmed to be present in multiple mice from the MDLY colony but did not segregate with the ttch phenotype, and follow-up ABR tests found no effect on hearing in homozygotes of either mutation (Additional File 1: Fig. S6b, e, g). We investigated the expression of MUC13 in the cochlea at P4 and found it was expressed in hair cells, pillar cells and the basal cells of the stria vascularis (Additional File 1: Fig. S6f).

The Pcdh15 jigl allele (MEWY colony): complete deafness with vestibular dysfunction

The jiggle (jigl) allele was mapped to a 26.9 Mb region on chromosome 10 (Additional File 1: Fig. S1) in which we found no small exonic variants, but one potential interchromosomal translocation within the gene Eef2 was identified by BreakDancer (Additional File 2: Table S1). We investigated this using IGV and found that it was based on a small percentage of the reads covering the region, most of which were correctly mapped, suggesting it was a false call. We then examined the entire non-recombinant region and identified a deletion towards the 3’ end of Pcdh15, which includes up to 6 coding exons depending on the transcript. There are 29 protein-coding isoforms of Pcdh15 (, accessed July 2021), 22 of which contain the affected exons. The deletion results in the loss of the 3’ end of the coding sequence for eleven of those transcripts, and in the loss of internal exons for the remaining eleven (Fig. 6a). We localised the 5’ breakpoint to the region between 10:74,614,441 and 10:74,619,826, and the 3’ breakpoint to the region between 10:74,634,994 and 10:74,635,149. We used primers designed to amplify a region within the deletion (Additional File 2: Table S3) to confirm it was not present in 20 affected animals, with 20 unaffected mice from the MEWY colony as controls. Pcdh15jigl homozygotes display circling and head bobbing and have no auditory brainstem response to any stimulus up to 95 dB (Fig. 6b). There were no gross malformations of the ossicles or inner ear (Additional File 1: Figs S2, S3). Scanning electron microscopy of the organ of Corti at P30 showed that affected mice exhibited hair bundle disorganisation that was most marked in the outer hair cells (Fig. 6c). We observed a similar phenotype in the P5 organ of Corti, with disorganisation of the stereocilia within hair cell bundles, a distorted bundle shape overall, and disoriented bundles (Fig. 6c, d). Hair bundles in the P5 vestibular maculae also lacked the typical staircase organisation (Fig. 6d). These hair bundle defects are similar to those described in other Pcdh15 mutants, which also exhibit deafness [47, 48] and reflect the role of PCDH15 as a component of the tip links between adjacent stereocilia [49, 50].

Fig. 6
figure 6

A deletion within the Pcdh15 gene causes disruption of stereocilia bundles and profound deafness. a Schematic of Pcdh15 isoforms showing the internal deletion in Pcdh15 (jigl, MEWY colony), showing the effects of the deletion on different transcripts (not to scale). Red indicates the deleted exons. Transcripts are shown in their entirety, but not all exons are visible due to scale. b Mean ABR thresholds of affected (n = 6, orange triangles) and unaffected (n = 7, teal circles) mice at P30. Error bars are standard deviations. c Scanning electron micrographs of the organ of Corti at P30 (60–70% of the distance from base to apex, scale bar = 10 µm, n = 3 unaffected, 6 affected mice) and P5 (50–80% of the distance from base to apex, scale bar = 10 µm, n = 5 unaffected, 4 affected mice). Mice at P5 were not able to be phenotyped by circling behaviour, but the scanning electron micrographs showed a clear bimodal distribution of affected and unaffected based on disorganisation of hair bundles, and we were unable to amplify the deleted region in affected pups (see Table S7 for primers). Representative examples are shown here. Affected P5 mice had less well-organised hair cell bundles than unaffected littermates. The overall “V” shape of the stereocilia bundle was distorted and irregular in the organ of Corti of affected mice. The polarity of some outer hair cell bundles was rotated by up to 90°, and in some cases, the kinocilium was on the opposite side of the cell (arrowhead in d). d Close ups of hair cells at P5, showing cochlear hair cells from the same region as in c, and vestibular hair cells from the macula (n = 2 unaffected and 2 affected mice). The arrowhead indicates an example of a kinocilium on the opposite side of the outer hair cell from the stereocilia bundle. Macular stereocilia bundles seemed to have a more ordered staircase structure in the mice classed as unaffected compared to affected mice, where all stereocilia appeared to be long with little sign of a staircase arrangement. Scale bars = 2 µm. Data underlying plots in this figure are in Additional File 3

The Del(18Ctxn3-Ccdc192)1Kcl allele (MFFD colony): complete deafness with vestibular dysfunction

Mice homozygous for the rhythm (rthm) allele exhibited complete deafness (Fig. 7a) with circling and head bobbing, suggesting vestibular dysfunction. We mapped the mutation to a 3.3 Mb region on chromosome 18 (Additional File 1: Fig. S1) but did not identify any exonic variants in the region (Additional File 2: Table S1). We used IGV to examine the nonrecombinant region and discovered a 303 kb deletion on chromosome 18, g.18:57437258_57740507del, covering eight genes, including two protein-coding genes (Ctxn3, Ccdc192), four lncRNA genes, one miRNA and one snRNA (Fig. 7c). This deletion segregated with the phenotype within the colony. The ossicles appeared normal (Additional File 1: Fig. S2) but the lateral semicircular canal was thinner in homozygotes than in heterozygotes (Fig. 7d), and MYO7A staining revealed severe disruption of the cochlear duct (Fig. 7e). This phenotype is similar to that of mice mutant for Slc12a2 [51], which lies 138kbp 3’ of the deletion, so we extracted RNA from brain tissue from affected mice and their unaffected littermates at 4 weeks old, and carried out qPCR to determine whether Slc12a2 was misregulated. However, there were no significant differences in the levels of Slc12a2 expression in homozygotes compared to heterozygote littermates (Fig. 7b). Thus, we found no evidence of a position effect of the deletion on Slc12a2 expression in brain. It is possible that the deletion only affects Slc12a2 expression in the ear, but the stria vascularis is still present in affected rthm mice (Fig. 7e) and it is highly abnormal in Slc12a2 mutants [51], supporting the hypothesis that Slc12a2 is not involved in this phenotype despite its proximity to the rthm deletion. We investigated the expression of the eight genes in the deletion using the gEAR database [40], but found data for only one, Ctxn3, which is strongly expressed in the basal cells of the stria vascularis and in fibrocytes of the lateral wall of the cochlea at P30 and in type I fibrocytes at P20 (Additional File 1: Fig. S5).

Fig. 7
figure 7

A 303 kb deletion on chr18 affects semicircular canals and results in profound deafness. a Mean ABR thresholds of mice homozygous (n = 6, red triangles), heterozygous (n = 7, blue circles) and wildtype (n = 2, black inverted triangles) for the rthm allele (MFFD colony) at P28 ± 1 day. Error bars are standard deviations. See Additional File 1: Fig. S9c for individual thresholds. b Slc12a2 qPCR on RNA from the brains of P28 affected (n = 4, red, right) and unaffected (n = 4, green, left) mice. There is no significant difference between wildtypes and homozygotes (p = 1, Wilcoxon rank sum test). The bars show the mean expression level, and the points show the individual measures. Error bars are standard deviations. c Schematic showing the genes affected by the deletion. There are two protein-coding genes (black), one miRNA gene (orange), one snRNA gene (pink) and four lncRNA genes (blue). Slc12a2 is located 138 kb downstream of the 3’ end of the deletion (indicated by arrow top right). d Inner ears from affected (n = 3) and unaffected (n = 3) mice at P28 ± 1 day. The middle ear side, with the round (RW) and oval (OW) windows is shown on the left of each panel, and the brain side, where the cochlear nerve exits (CN), on the right. The round and oval windows and the cochlear nerve exits are marked by dotted lines, and the semicircular canals by dashed lines. Brackets indicate the cochlea (Co) and vestibular region (Ve). LSC = lateral semicircular canal; SSC = superior semicircular canal; PSC = posterior semicircular canal. Scale bar = 1 mm.The superior semicircular canals are thinner in affected mice (red arrowheads). e Immunohistochemistry of the cochlear duct of affected (n = 3) and unaffected (n = 3) mice at P28. Brown indicates the presence of MYO7A, which marks hair cells and the intermediate cells of the stria vascularis (marked by twin open arrowheads). Hair cells are only clearly visible in the unaffected mouse, indicated by the arrowheads (red for the inner hair cell and black for the outer hair cells). Asterisks show the Reissner’s membrane, which is displaced in affected mice. The top two panels show the apical region, 72% of the distance from the base to the apex. The lower panel shows the basal region, at 16% of the base-apex distance. Scale bar = 100 mm. Data underlying plots in this figure are in Additional File 3

The Espn spdz allele (MHER colony): complete deafness with vestibular dysfunction

Mice homozygous for this mutation displayed circling and head bobbing and had no response to sound up to 95 dB (Fig. 8a); the allele was named spindizzy (spdz). There were no gross malformations of the ossicles and inner ear (Additional File 1: Figs S2, S3), and MYO7A staining in adults suggested hair cells were present (Fig. 8b). However, scanning electron microscopy showed that there were no stereocilia bundles visible at P28 in homozygotes (Fig. 8c), and at P4, stereocilia bundles were present but disorganised, with thin stereocilia and ectopic stereocilia rows (Fig. 8d). The mutation mapped to a 3 Mb region on chromosome 4 (Additional File 1: Fig. S1) containing 28 protein-coding genes. There were 13 small variants called by Samtools in this region (Additional File 2: Table S1), none of which were within coding sequence. BreakDancer detected four intrachromosomal rearrangements (Additional File 2: Table S1), affecting exons of Klhl21, Nol9, and Acot7, and an intron of Plekhg5, but all four are based on a very low proportion of the reads in each homozygote. The only known deafness gene in the non-recombinant region is Espn, mutations in which result in shorter, thinner stereocilia at birth, followed by degeneration of stereocilia in early adulthood [52,53,54]. We therefore sequenced Espn mRNA from the brains of adult affected mice and their unaffected littermates. No splicing errors were observed for most of the exons; however, we were unable to amplify sequence from exons 15 and 16 in homozygotes (Fig. 8e). Exon 15 (ENSMUSE00001290053) is a 12 bp exon located 85 bp from exon 14 and separated by 2.35 kb from exon 16, which is the final exon (Fig. 8e). We resequenced the genomic region between exons 14 and 16 in three spdz homozygotes using Sanger sequencing, and while no variants were observed in intron 14–15 or in exon 15, we were unable to amplify a 431 bp region in the intron between exons 15 and 16, between g.4:152,122,586 and g.4:152,123,017, in any of the homozygotes. We successfully sequenced this region in two wildtype mice. This failure to amplify suggests that there may be an insertion or other genomic disruption at this location of the chromosome; the insertion of transposable elements is a common cause of spontaneous mutation in the mouse [55]. We extracted DNA from 55 affected mice from the colony, and in all of them this specific sequence failed to amplify, while an adjacent sequence worked. In 56 unaffected mice, both sequences were amplified (Fig. 8e, f; primers in Additional File 2: Table S3).

Fig. 8
figure 8

Mice carrying the spdz allele (MHER colony) are profoundly deaf, with abnormal hair cell stereocilia at P5 and hair cell degeneration by P29. a Mean ABR thresholds of affected (orange triangles, n = 7) and unaffected (teal circles, n = 6) mice at P28-29. Error bars are standard deviations. b Expression of MYO7A (brown) in hair cells from the apical region of the organ of Corti (90–95% of the distance from base to apex) of mice at P28 (n = 3 affected, 3 unaffected), showing that hair cells are visible in affected mice (arrowheads, red for the inner hair cell and black for outer hair cells). Scale bar = 20 µm. c Scanning electron micrographs of the 12 kHz best-frequency region (65–70% of the distance from base to apex) of the organ of Corti in unaffected (n = 4) and affected (n = 3) mice at P29. Brackets indicate the inner hair cell row. Most hair bundles are missing. Scale bar = 10 µm. d Scanning electron micrographs of a homozygous mutant mouse at P4 (n = 3) and an age-matched wildtype, showing the 42 kHz best-frequency region (20% of the distance from base to apex). Brackets indicate the inner hair cell row; scale bar = 10 µm. Lower panels show a magnified view of inner hair cells in the same region (scale bar = 1 µm). e Schematic showing the known protein-coding isoforms of Espn and the location of the intronic disruption (red line). The splice junctions identified in brain cDNA are shown below; each line indicates a splice junction visible in at least one mouse. At the bottom is a schematic of the genomic DNA (gDNA) showing exons 14, 15 and the start of exon 16 in black, separated by introns in white (not to scale). The disruption in the mutant is shown by the addition of a red block in the intron. The “test” primer pair (red arrows) fails to amplify in mutant gDNA, and the “control” primer pair (black arrows) works for both wildtype and mutant. f Gel showing bands amplified using these primer pairs (Additional File 2: Table S3) on an affected mouse and an unaffected mouse. The size of ladder bands is shown at the side in bp. Data underlying plots in this figure are in Additional File 3

Three other lines which underwent exome sequencing

In addition to the above seven lines, mice from three other lines displaying nonsegregating phenotypes were sequenced (MAKN, MATH and MBVF colonies, Fig. 1). The mutation underlying the rapidly progressive hearing loss phenotype seen in the MAKN line was a point mutation in the S1pr2 gene, named stonedeaf (S1pr2stdf). Mice homozygous for this allele displayed a rapid reduction in endocochlear potential (EP) between P14 and P56 which correlated with the progression of their hearing loss, while hair cell degeneration followed at a later age [12].

In the case of the mutation in the MATH line, we were not able to establish a breeding colony inheriting the phenotype, but we were able to confirm the presence of the Klhl18lowf mutation from the exome sequence, which is in accordance with the low frequency hearing loss exhibited by these mice (Fig. 1).

The affected mice from the MBVF line displayed variably raised thresholds across all frequencies (Fig. 1); we named the allele variable thresholds, vthr. However, because of this extreme variability, we were unable to carry out a backcross or maintain the vthr phenotype within the colony. We did observe that the thresholds of 7 affected mice, while variable at 14 weeks old, progressed to more severe hearing loss at 6 months old (Additional File 1: Fig S4c). We collected and examined the middle ears of these affected mice and related unaffected mice at ages over 6 months and did not observe any middle ear defects (n = 7 affected, 17 unaffected). Because of this variability in ABR thresholds, we did not restrict the zygosity of identified variants during variant processing (Additional File 2: Table S1). After quality and impact filtering, we found 221 potential high impact variants, including 15 large structural variants that were predicted to affect 30 known deafness genes between them (Additional File 2: Table S2).

ES Cell sequencing

The 25 lines with spontaneous mutations were derived from several different parental embryonic stem cell lines (Table 1). We carried out whole exome sequencing on three of these lines (JM8.F6, JM8.N4 and JM8.N19) and used Sanger sequencing of selected regions to check two others (JM8A1.N3 and JM8A3.N1) [56]. For the eight alleles affecting hearing described above (including S1pr2stdf), we found that the mutations were not present in the parental ES cell lines (Table 1). The Klhl18lowf mutation, the only one seen in multiple lines, was not found in any of the ES cell lines from which we obtained sequence (Table 1).

In order to find out whether any variants seen in the mice could have been derived from the parental ES cell lines, we compared the JM8.F6 and JM8.N4 whole exome sequencing to whole exome sequencing from four descendant mice (two from the MCBX line and two from the MATH line, both of which carried the spontaneous Klhl18lowf mutation, Fig. 1, Table 1). For this, we adapted the variant filtering steps and processed exome sequence data from each mouse independently (Additional File 2: Table S4a). We compared the high-quality variants identified by the different callers and found that a subset of ES cell variants was indeed found in the mice created from each line (e.g. 8 out of 1105 variants called by SAMtools were found in the JM8.F6 ES cells and in both MCBX mice, Additional File 1: Fig. S7). We chose 21 high-quality, high impact variants for confirmation by Sanger sequencing but most variants were not validated in either the ES cells or the mice (Additional File 2: Table S4b). However, two variants were found in both JM8.F6 and the two MCBX mice; one point mutation identified by SAMtools and one small indel called by Dindel (Additional File 2: Table S4b). These variants were not seen in the two MATH mice, which shared the same low frequency hearing loss mutation and the spontaneous Klhl18lowf allele, nor in the JM8.N4 ES cell sequence.

Potential sources of the spontaneous mutations affecting hearing

As none of the spontaneous mutations we found that affected hearing came from the original parental ES cell lines (prior to genetic manipulation), we examined the pedigrees of the mice originally found to have these phenotypes and the mice used as founders for our eight breeding colonies. For each line, we identified the latest possible point at which the mutant allele could have arisen, assuming that it only occurred once. In five lines, the mutation could have arisen just two generations before it was observed (MEBJ (Tkh), MHER (spdz), MEEK (rhme), MDLY (ttch) and MEWY (jigl)). In the MAKN (stdf) line, the mutation must have arisen no less than three generations before the phenotype was observed (Additional File 1: Fig. S8). However, in the MFFD (rthm) line, the mutation must have been present in the chimaeric offspring of the microinjected founder (Additional File 1: Fig. S8). For the lines bearing the Klhl18lowf allele, the most likely source is the wildtype colony used for embryo donors, microinjection and colony expansion. We checked the pedigrees of the mice homozygous for the Klhl18lowf allele and confirmed that in each case there was an ancestral mouse from the same wildtype colony which could have passed on the Klhl18lowf allele to both the dam and sire of the homozygous mouse. We then constructed pedigrees for these wildtype mice and determined that it is likely that the Klhl18lowf allele was present in several of the founders of the C57BL/6 N wildtype colony used to expand the mutant lines [9].

In summary, one mutation was present at the point of microinjection (MFFD, rthm) and therefore arose when the ES cells were targeted or during the ES cell processing prior to microinjection, and one is likely to have arisen spontaneously in a wildtype colony (MCBX, Klhl18lowf). The remaining six mutations could have occurred either during ES cell targeting and processing or during breeding of the colony carrying a targeted allele (Fig. 9).

Fig. 9
figure 9

There are many opportunities for spontaneous mutations to arise during the process of making a targeted knockout allele. A schematic showing the stages of making knockout mice. Spontaneous mutations can arise at any point in this process. The mutations described in this paper are shown at the bottom, with arrows indicating the latest possible time at which that mutation could have occurred. If a spontaneous mutation occurs in the cultured embryonic stem cells before targeting, it has the potential to affect multiple mouse lines, but although we detected variants in MCBX mice which were present in the parental ES cell line JM8F6 (eg g.1: 71642993A > C, Additional File 1: Fig S7, Additional File 2: Table S4b), none of the eight mutations affecting hearing were found in any of the parental ES cell lines (Table 1). A mutation arising later in the process may be specific to a single line (such as the rthm allele, which is likely to have arisen in the targeted ES cell) or a single mating within that line, which is likely to be the case for most of the mutations described here. The Klhl18lowf mutation, on the other hand, probably arose within the wildtype line used for expansion for all the colonies in which mice with the low frequency hearing loss phenotype were found


Here we have described seven mutant alleles affecting hearing which, along with the previously described S1pr2stdf mutation [12], arose as spontaneous mutations within a targeted knockout programme (Table 1). In total, we observed 25 lines with hearing impairment which did not segregate with the targeted allele (Fig. 1), and we identified the causative mutation in 16 of them. It is likely that in the cases where we could not establish a breeding colony carrying the phenotype, the related mice we obtained were not carrying the mutation. However, it is possible that in the lines where only one mouse was found to be affected, the mutation causing hearing loss was a somatic mutation (e.g. MGKQ, Fig. 1). In one case (MBVF), the phenotype was variable and could not be reliably maintained. We have identified six novel alleles of known deafness genes (Klhl18 [10, 11], S1pr2 [12, 57,58,59], Atp2b2 [24, 25, 31,32,33,34,35,36], Tbx1 [43, 44, 60, 61], Pcdh15 [62] and Espn [63]), two of which (Tbx1ttch (MDLY), Atp2b2Tkh (MEBJ), Table 1) are hypomorphs which may be useful for in-depth studies of the function of these genes. We also identified four candidate deafness genes (Ctxn3, Ccdc192, Map3k5 and Map7) within the rthm and rhme deletions in the MFFD and MEEK lines, and more study is required to identify which gene is responsible for the hearing phenotype or whether, in the case of the rthm deletion, it is one of the noncoding RNA genes that underlies the deafness and vestibular dysfunction in this line. For the rhme deletion, existing expression data and the associated male infertility support Map7 as the best candidate gene. Full analysis of these candidates, especially the noncoding RNA genes in the rthm deletion, is outside the scope of this study, which aimed to describe the spontaneous mutations arising within the Mouse Genetics Project and to identify their likely origin.

It is likely that over a thousand genes contribute to the development and function of the ear, making hearing impairment relatively sensitive to background mutation rates [9, 11]. From the 9016 mice (2218 wildtype mice and 6798 targeted mutants) screened by ABR in the current study, 55 had a non-segregating phenotype (0.6%). However, seven of the eight mutations causing a hearing phenotype were inherited in a recessive way, so that we had to screen a mouse with two copies to detect it, and only four mice per colony were normally screened by ABR, although in some cases wildtype littermates were included in the control cohort. Thus, the number of new mutations we found causing deafness is likely to be an underestimate, as many colonies harbouring new mutations causing deafness will not have led to a homozygote reaching the screening cohort. Like many phenotypes, hearing impairment in a mouse, when unaccompanied by vestibular dysfunction, is a subtle phenotype and easy to miss if it is not actively investigated. It is highly likely that multiple other mutations which have no impact on hearing nor any gross impact on the appearance, behaviour or viability of the mice exist within all these lines. We found two such mutations in the process of sequencing the MDLY (ttch) mice: a missense mutation in Muc13 and a deletion in the Kabuki syndrome gene Kmt2d (also known as Mll2), neither of which affected hearing nor had any obvious effect on homozygotes (Additional File 1: Fig. S6).

When we first observed the non-segregating phenotypes, particularly the widespread Klhl18lowf mutation, we suspected that the mutations arose in the ES cells used to make the mice, either before or after insertion of the manipulated allele. Indeed, a previous missense mutation in Atp2b2 has been reported to have arisen during clonal expansion of targeted ES cells [34], and multiple other examples of off-target mutations arising in targeted ES cells have been described [64, 65]. However, when we sequenced the parental ES cell lines, we did not find any of these mutations, and from our pedigree analyses, only one can be unambiguously traced to the founder of the line (MFFD, rthm), although since we can only identify the latest possible time of occurrence from the pedigrees, we cannot rule out the possibility that the other mutations occurred within the targeted ES cell. In addition, the presence of the Klhl18lowf mutation in multiple lines suggests that it arose within the wildtype colony used for expansion of the mutant lines (Fig. 9). We therefore suggest that it is likely that at least some of the mutations affecting hearing arose during breeding. Thus, regardless of the method of genome manipulation or how long ago a mutation was made, the potential for spontaneous and off-target mutations to affect a mutant animal being studied must always be borne in mind. In particular, a non-segregating mutation that affects the phenotype under study could result in apparently variable penetrance or expressivity of the phenotype. It is possible that the variable phenotype observed in the MBVF (vthr) line (Fig. 1) is the result of more than one spontaneous mutation.

As well as being a reminder to pay attention to unexpected phenotypes, these results highlight the critical importance of proper data collection and retention in any study. The accurate breeding records and careful tracking of the thousands of mice tested in the Mouse Genetics Project were critical to the detection, isolation and identification of these new mutations. Furthermore, confirmation of candidate variants by Sanger sequencing was essential to identify false calls from exome sequence.


Any process which involves mutagenesis has the potential to introduce unwanted mutations as well as the desired mutant allele. Our results here show that breeding alone can result in mutations which have an observable effect on phenotype and provide a cautionary note for any study involving animals, not just those with targeted mutant alleles. Spontaneous mutations may arise in a ‘wildtype’ strain and remain unnoticed until looked for, as in the Klhl18lowf mutation. However, such spontaneous mutations can also provide useful alternative alleles, such as the hypomorphic Tbx1ttch and Atp2b2Tkh alleles, and suggest candidate disease genes such as Map7, and so in addition to a warning, this study also represents the unexpected benefits of a large-scale intensive mutagenesis programme.



Mice were housed in individually ventilated cages (Tecniplast) with Datesand Aspen bedding, with up to 5 adult mice of a single sex in each cage. Extra nesting material and cardboard tubes were provided for environmental enrichment. The temperature and humidity were controlled (21 ± 2 °C, and 55 ± 10%, respectively), and a 12-h light/dark cycle was maintained throughout the study. The mice had free access to water and food (LabDiet PicoLab Rodent Diet 20, St. Louis, MO, USA) and were checked daily for signs of ill health.

Generation of mice

Mice carrying knockout first conditional-ready alleles were observed for gross behavioural abnormalities using a modified SHIRPA (SmithKline Beecham, Harwell, Imperial College, Royal London Hospital Phenotype Assessment) test at 9 weeks old, and tested by ABR at 14 weeks old, as described in [9] and [11]. Mice assigned to the phenotyping pipeline could not be withdrawn for investigation of these non-segregating phenotypes, so mice from the same line, as closely related to the affected mice as possible, were used to set up colonies to screen for the spontaneous mutation. 25 lines were found to carry a spontaneous mutation involving hearing impairment, and eight new breeding colonies were successfully established with the observed phenotype reliably inherited. All mutations were generated and maintained on the C57BL/6 N background. These eight mouse lines will be available via the European Mouse Mutant Archive. Two further mouse lines were used for complementation testing of compound heterozygotes: Klhl18tm1a(KOMP)Wtsi [9] and Tbx1tm1Bld [45].

Experimental design

Affected mice were compared to unaffected littermate controls of the same age and, where possible, sex, although not to the exclusion of mice of the required phenotype available. Randomisation is not appropriate for experiments with paired mutant and littermate controls. Samples younger than P14 were collected prior to genotyping, effectively blinding the collection. No other blinding was carried out. Sample sizes were calculated using the power calculator at along with data from previous experiments of the same kind, with a 5% significance level in all cases. Individual power calculations and exclusion criteria are listed under each relevant method; if no exclusion criteria are listed, all experimental mice were included. The n numbers for each experiment are given in the figure legends and always refer to the number of mice (and thus also the number of times each experiment was performed).

Auditory Brainstem Response (ABR)

ABR tests were carried out as previously described [11, 66, 67]. We used a broadband click stimulus and shaped tonebursts at a range of pure tone frequencies at sound levels from 0 to 95 dB SPL, in 5 dB steps. 256 sweeps were carried out per frequency and sound level, and these were averaged to produce the ABR waveform. A stack of response waveforms was used to identify the threshold for each stimulus, which is the lowest intensity at which a waveform could be distinguished.

Power calculation: Six animals per genotype are required for 98.4% power to detect a meaningful effect size of 20 dB given a standard deviation of 8.45 dB.

Exclusion criteria: If a mouse showed evidence of poor physiological condition, such as a reduced heartbeat, during ABR recording, recording was stopped, and the data from that session was not included. This is standard procedure and thus pre-established.

Assessment of balance

Mouse behaviour was observed in their home cage for signs of circling or headbobbing. To detect balance dysfunction, we also used the contact righting reflex test. Mice were placed in a large Petri dish sized such that the back of the mouse was in contact with the dish lid but not under pressure. The Petri dish was inverted, and the mouse was monitored for 30 s. If it did not turn itself over within that time, it was marked as affected, while if it turned itself over promptly, it was marked as unaffected. Some mice righted themselves after a delay and were tested a second time.

Exclusion criteria: If the results of the righting test were unclear, the mouse was not used for mapping.

Linkage mapping

For each line, affected males were outcrossed to C3HeB/FeJ females. For the lines displaying recessive inheritance, the offspring were backcrossed to affected mice of the same line. For the single line displaying semidominant inheritance (MEBJ, Atp2b2Tkh), the outcross offspring were backcrossed to C3HeB/FeJ wildtype mice. Backcross offspring were assessed by ABR or contact righting reflex, then after culling, a tissue sample was collected for DNA extraction. The initial genome scan was carried out using a standard marker panel (Additional File 2: Table S5), then once the linkage region was established, it was narrowed down using more backcross mice, more markers within the region and, where necessary, strain-specific SNVs (Additional File 2: Table S5).

Exome sequencing

Two affected mice of each line were selected for exome sequencing. DNA was extracted using phenol and chloroform, and exome sequencing was carried out by the Wellcome Trust Sanger Institute (WTSI), with the exception of the spdz sequencing, which was carried out by Novogene (Hong Kong). Genomic DNA (approximately 1 ug) was fragmented to an average size of 150 bp (WTSI) or 180–280 bp (Novogene) and subjected to DNA library creation using the Agilent SureSelect Mouse All Exon Kit. Adapter-ligated libraries were amplified and indexed via PCR. Enriched libraries were subjected to 75 bp paired-end sequencing (HiSeq 2000; Illumina), with the exception of the spdz libraries, which were subjected to 150 bp paired-end sequencing (HiSeq 4000; Illumina) following the manufacturer’s instructions. Sequences were aligned to GRCm38 using bwa [68], with the exception of the spdz fastq files, which were checked and processed using FastQC [69] and Trimmomatic [70], then aligned to GRCm38 using hisat2 [71]. All bam files were improved by local realignment around insertions and deletions discovered in the mouse genomes project [72] using GATK [73] (Additional File 2: Table S6). Bam files were processed using Picard and Samtools [74, 75]. Raw data can be downloaded from the European Nucleotide Archive, studies PRJEB2585, PRJEB5221 and PRJEB45713. Individual sample accession numbers are in Additional File 2: Table S6c.

Variant identification and investigation

Variant calling was carried out using Samtools, Dindel and Pindel [75,76,77,78], and we also used BreakDancer to detect any large structural variants with breakpoints within the exome [77] (Additional File 2: Table S6). Variants were annotated using the Ensembl Variant Effect Predictor [79], and filtered by quality, by segregation and by presence in other lines, including known variants from the Ensembl database and the Mouse Genomes Project [72, 80, 81] (Additional File 1: Table S1). For the ES cells and the MBVF line, we could not use mapping cross information so quality and impact filtering were carried out instead as the final step (Additional File 2: Table S6). IGV [82] was used to check for large deletions in the critical region. Candidate variants were first confirmed by Sanger sequencing, then checked for segregation with the phenotype across the colony as well as all backcross mice (Additional File 2: Table S3). Protein modelling was carried out using Phyre2 [15] to identify a suitable protein model and Pymol [83] to view the model and highlight variant residues. All Sanger sequencing was carried out by Source Bioscience and analysed using Gap4 [84]. Venn diagrams were generated using the online Bioinformatics and Evolutionary Genomics tool [85].

Gene expression analysis using the gEAR

To investigate candidate gene expression, we used single-cell RNAseq data from the mouse inner ear at E16, P1, P7 [86, 87], P15 [88, 89], P20 [90, 91] and P30 [92, 93], accessed via the gEAR portal [40, 94]. Expression levels were normalised to Hprt expression. Ten marker genes were chosen for comparison (Myo7a for hair cells, Fgf8 for inner hair cells, Slc26a5 for outer hair cells, Sox2 for non-sensory cells, S100b for inner pillar cells, Hes5 for Deiters’ cells, Kcne1 for marginal cells, Kcnj10 for intermediate cells, Epyc for root cells and Anxa1 for spindle cells). Of the ten candidate genes (including four protein-coding genes, four lncRNA genes, one miRNA and one snRNA), only Ctxn3, Map7 and Map3k5 had sufficient expression data in the gEAR.

Scanning electron microscopy (SEM)

The temporal bones were isolated. The inner ears were dissected out and fixed by 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer with 3mM calcium chloride at room temperature for 3 h. Cochleae and the vestibular system were finely dissected in PBS. This was followed by further processing using an osmium-thiocarbohydrazide-osmium (OTOTO) method [95]. The samples were dehydrated in increasing concentrations of ethanol, critical-point dried (Bal-Tec CPD030), mounted and examined under a HITACHI S-4800 or a JEOL JSM 7800F Prime Schottky field emission scanning electron microscope (for Pcdhjigl and Espnspdz mice respectively). Images of the organ of Corti were taken at roughly 20% intervals along the cochlear duct and the macula of the utricle and saccule and crista of the ampullae were also imaged. Whole images were adjusted in Photoshop to normalise dynamic range across all panels.

Exclusion criteria: If dissection damage was too great to observe hair cells in either cochlea, the mouse was not counted. This is standard procedure and thus pre-established.

Middle ear dissection, inner ear clearing and microCT scanning

After culling, the ear canals were checked for cerumen, then the mouse was decapitated and the bulla, tympanic membrane and middle ear cavity inspected for any abnormalities, including the presence of fluid, inflammation or any other obstructions in the middle ear. Observations were recorded on a standard tick sheet. Ossicles were dissected out and stored in 10% formalin. The inner ear was removed and fixed in Bodian’s fixative (75% ethanol, 5% acetic acid, 5% formalin, in water), washed in water and 70% ethanol, then cleared by gentle rotation in 3% KOH for 3 days, changed daily. Samples were then placed in G:E:B (glycerol, 70% ethanol and benzyl alcohol, mixed in a ratio of 2:2:1 by volume) for the final stage of clearing, then stored in G:E (glycerol and 70% ethanol in equal volumes). Images of ossicles and middle ears were taken using a Leica stereomicroscope with a Leica DFC490 camera. To carry out microCT scans, cochleae were immobilised using cotton gauze and scanned with a Scanco microCT 50 to produce 14μm voxel size volumes, using an X-ray tube voltage of 80kVp and a tube current of 80μA. An aluminium filter (0.05 mm) was used to adjust the energy distribution of the X-ray source. To ensure scan consistency, a calibration phantom of known geometry (a dense cylinder) was positioned within the field of acquisition for each scan. Test reconstructions on this object were carried out to determine the optimum conditions for reconstruction, ensuring consistency in image quality, and minimising blurring. Reconstruction of the cochlea was performed in Thermo Scientific Amira software.

Immunohistochemistry and trichrome staining

Samples from adult mice were collected, fixed in 10% formalin, decalcified in 0.1 M Ethylenediaminetetraacetic acid (EDTA), embedded in paraffin wax and cut into 8μm sections. Samples from P4 pups were treated similarly, but no decalcification step was needed. For histological analysis, slides were stained using a trichrome stain, containing Alcian blue, Sirius red and Haematoxylin. Immunohistochemistry was carried out using a Ventana Discovery machine and reagents according to the manufacturer’s instructions (DABMap™ Kit ( 760–124), Haematoxylin ( 760–2021), Bluing reagent ( 760–2037), CC1 ( 950–124), EZPrep ( 950–100), LCS ( 650–010), RiboWash ( 760–105), Reaction Buffer ( 95–300) and RiboCC ( 760–107)). Primary antibodies used were rabbit anti-PMCA2 (Abcam, cat. no: ab3529, RRID:AB_303878, diluted 1:500), rabbit anti-MUC13 (Abcam, cat. no: ab124654, RRID:AB_11129750, diluted 1:50) and rabbit anti-MYO7A (Proteus, cat. no: PTS-25–6790, RRID:AB_10015251, diluted 1:100), and the secondary antibody was anti-rabbit (Jackson ImmunoResearch, 711–065-152, RRID:AB_2340593, diluted 1:100). All antibodies were validated by the manufacturer and/or had been successfully used for immunohistochemistry on paraffin-embedded sections of mouse tissue in previous studies [96, 97]. Antibodies were diluted in staining solution (10% foetal calf serum, 0.1% Triton, 2% BSA and 0.5% sodium azide in PBS). A Zeiss Axioskop 2 microscope was used to examine slides, and photos were taken using a Zeiss Axiocam camera and the associated Axiocam software. Images were processed in Adobe Photoshop; minimal adjustments were made, including rotation and resizing. Where image settings were altered, the adjustment was applied equally to affected and unaffected samples and to the whole image. Variation in staining intensity between sections was minor, and there was no variation in staining location.

Exclusion criteria: If damage which occurred during sectioning and staining was too great to observe hair cells, the sample was not counted. This is standard procedure and thus pre-established. Only one set of sections from a pair of Espnspdz mice were excluded for this reason and have not been counted in the total assessed.

RNA extraction, RTPCR and qPCR

We collected the brains of adult Espnspdz (P25) and rthm (P28) mice, which were snap-frozen in liquid nitrogen, and the organs of Corti of 4-day-old (P4) Atp2b2Tkh mice, which were dissected out and stored at − 20 °C in RNAlater stabilisation reagent (Ambion). All RNA dissections were carried out during a fixed time window to avoid circadian variation (Espnspdz: between 2.5 and 3.5 h after lights on; rthm and Atp2b2Tkh: between 6 and 7.5 h after lights on). For the brains, RNA was extracted using TRIzol, in some cases followed by processing through Direct-zol minipreps (Zymo Research, cat. no R2050). For the organs of Corti, RNA was extracted using either QIAshredder columns (QIAgen, cat. no. 79654) and the RNeasy mini kit (QIAgen, cat. no. 74104), or the Lexogen SPLIT kit (Lexogen, cat. no. 008.48), following the manufacturer’s instructions. RNA concentration was measured using a nanodrop spectrophotometer (ND-8000). RNA was normalised to the same concentration within each litter, then treated with DNAse 1 (Sigma, cat. no: AMPD1) before cDNA creation. cDNA was made using Superscript II Reverse Transcriptase (Invitrogen, cat. no: 11904–018) or Precision Reverse Transcription Premix (PrimerDesign, cat. no: RT-premix2). Primers for sequencing cDNA for testing Espn splicing in Espnspdz mice were designed using Primer3 [98] (Additional File 2: Table S3). Quantitative RT-PCR on cDNA from rthm and Tkh mice was carried out on a CFX Connect qPCR machine (Bio-Rad), using probes from Applied Biosystems (Hprt, cat. no: Mm01318747_g1; Jag1, cat. no: Mm01270190_m1; Atp2b2, cat. no: Mm01184578_m1; Slc12a2, cat no: Mm00436563_m1) and Sso-Advanced Master Mix (Bio-Rad, cat. no: 1725281). Relative expression levels were calculated using the 2−ΔΔct equation [99], with Hprt as an internal control. Jag1 was used to check for the quantity of sensory tissue present in the organ of Corti samples because it is expressed in supporting cells [100, 101]. At least three technical replicates of each sample were carried out for each reaction. Due to the nature of the 2−ddCt calculation, there are always unequal variances between wildtype and mutant groups, and we therefore chose suitable statistical tests; the Wilcoxon rank sum test (Mann–Whitney U test, two-tailed) [102] for comparisons between rthm wildtypes and homozygotes, and a Welch’s one-way ANOVA [103] for the Atp2b2Tkh qPCR, which involved three groups (wildtype, heterozygote and homozygote).

Power calculations

We estimated the power to detect a difference of 40% for a sample size of 4 wildtypes and 4 homozygotes, with a standard deviation of 0.01 for wildtypes and 0.2 for homozygotes, which is based on previous data (the discrepancy in standard deviation is the result of the 2−ΔΔct calculation of relative expression levels). The power is 99.1%.

Exclusion criteria

Data from Atp2b2Tkh organs of Corti where the Jag1 levels differed by more than 20% between the samples were not included. This is a pre-established criterion based on our previous work.

Availability of data and materials

All data generated and/or analysed during this study are included in this published article and supplementary information files, with the exception of the exome sequence data, which are available in the European Nucleotide Archive repository (,,, and the single cell RNAseq data, which are available in the GEO repository (,,, [86, 88, 90, 92]. Data underlying the plots in Figs. 1, 2, 3, 4, 5, 6, 7, 8, S1, S4, S5, S6 and S9 are included in their entirety in Additional File 3.

Mutant mouse lines will be available from EMMA.



Auditory Brainstem Response


Embryonic day 16


Ethylenediaminetetraacetic acid

ES cells:

Embryonic stem cells


European Conditional Mouse Mutagenesis programme


Genome-Wide Association Study


Integrative Genomics Viewer


Knock Out Mouse Programme




Postnatal day 4


Quantitative polymerase chain reaction


RNA sequencing


SmithKline Beecham, Harwell, Imperial College, Royal London Hospital Phenotype Assessment


Single-nucleotide variant


  1. Ayabe S, Nakashima K, Yoshiki A. Off- and on-target effects of genome editing in mouse embryos. J Reprod Dev. 2019;65(1):1–5.

    CAS  PubMed  Google Scholar 

  2. Iyer V, Boroviak K, Thomas M, Doe B, Riva L, Ryder E, Adams DJ. No unexpected CRISPR-Cas9 off-target activity revealed by trio sequencing of gene-edited mice. PLoS Genet. 2018;14(7):e1007503.

    PubMed  PubMed Central  Google Scholar 

  3. Willi M, Smith HE, Wang C, Liu C, Hennighausen L. Mutation frequency is not increased in CRISPR-Cas9-edited mice. Nat Methods. 2018;15(10):756–8.

    CAS  PubMed  Google Scholar 

  4. Anderson KR, Haeussler M, Watanabe C, Janakiraman V, Lund J, Modrusan Z, Stinson J, Bei Q, Buechler A, Yu C, et al. CRISPR off-target analysis in genetically engineered rats and mice. Nat Methods. 2018;15(7):512–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Cervantes RB, Stringer JR, Shao C, Tischfield JA, Stambrook PJ. Embryonic stem cells and somatic cells differ in mutation frequency and type. Proc Natl Acad Sci U S A. 2002;99(6):3586–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Maitra A, Arking DE, Shivapurkar N, Ikeda M, Stastny V, Kassauei K, Sui G, Cutler DJ, Liu Y, Brimble SN, et al. Genomic alterations in cultured human embryonic stem cells. Nat Genet. 2005;37(10):1099–103.

    CAS  PubMed  Google Scholar 

  7. Birling MC, Yoshiki A, Adams DJ, Ayabe S, Beaudet AL, Bottomley J, Bradley A, Brown SDM, Burger A, Bushell W, et al. A resource of targeted mutant mouse lines for 5,061 genes. Nat Genet. 2021;53(4):416–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Skarnes WC, Rosen B, West AP, Koutsourakis M, Bushell W, Iyer V, Mujica AO, Thomas M, Harrow J, Cox T, et al. A conditional knockout resource for the genome-wide study of mouse gene function. Nature. 2011;474(7351):337–42.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. White JK, Gerdin AK, Karp NA, Ryder E, Buljan M, Bussell JN, Salisbury J, Clare S, Ingham NJ, Podrini C, et al. Genome-wide generation and systematic phenotyping of knockout mice reveals new roles for many genes. Cell. 2013;154(2):452–64.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Bowl MR, Simon MM, Ingham NJ, Greenaway S, Santos L, Cater H, Taylor S, Mason J, Kurbatova N, Pearson S, et al. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction. Nat Commun. 2017;8(1):886.

    PubMed  PubMed Central  Google Scholar 

  11. Ingham NJ, Pearson SA, Vancollie VE, Rook V, Lewis MA, Chen J, Buniello A, Martelletti E, Preite L, Lam CC, et al. Mouse screen reveals multiple new genes underlying mouse and human hearing loss. PLoS Biol. 2019;17(4):e3000194.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Ingham NJ, Carlisle F, Pearson S, Lewis MA, Buniello A, Chen J, Isaacson RL, Pass J, White JK, Dawson SJ, et al. S1PR2 variants associated with auditory function in humans and endocochlear potential decline in mouse. Sci Rep. 2016;6:28964.

    PubMed  PubMed Central  Google Scholar 

  13. Hoffmann TJ, Keats BJ, Yoshikawa N, Schaefer C, Risch N, Lustig LR. A large genome-wide association study of age-related hearing impairment using electronic health records. PLOS Genetics. 2016;12(10):e1006371.

    PubMed  PubMed Central  Google Scholar 

  14. Wells HRR, Freidin MB, Zainul Abidin FN, Payton A, Dawes P, Munro KJ, Morton CC, Moore DR, Dawson SJ, Williams FMK. GWAS identifies 44 independent associated genomic loci for self-reported adult hearing difficulty in UK Biobank. Am J Hum Genet. 2019;105(4):788–802.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc. 2015;10(6):845–58.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Jiang DQ, Tempel W, Loppnau P, Graslund S, He H, Ravichandran M, Seitova A, Arrowsmith CH, Edwards AM, Bountra C et al: Crystal structure analysis of Kelch protein from Plasmodium falciparum. In.: PDB; 2015

  17. Murray JW, Cooper CDO, Krojer T, Mahajan P, Salah E, Keates T, Savitsky P, Pike ACW, Roos A, Muniz J et al: Crystal structure of the BTB-BACK domains of human KLHL11. In.: PDB; 2009.

  18. Albagli O, Dhordain P, Deweindt C, Lecocq G, Leprince D. The BTB/POZ domain: a new protein-protein interaction motif common to DNA- and actin-binding proteins. Cell Growth Differ. 1995;6(9):1193–8.

    CAS  PubMed  Google Scholar 

  19. Bardwell VJ, Treisman R. The POZ domain: a conserved protein-protein interaction motif. Genes Dev. 1994;8(14):1664–77.

    CAS  PubMed  Google Scholar 

  20. Dhanoa BS, Cogliati T, Satish AG, Bruford EA, Friedman JS. Update on the Kelch-like (KLHL) gene family. Hum Genomics. 2013;7:13.

    PubMed  PubMed Central  Google Scholar 

  21. Ingham NJ, Banafshe N, Panganiban C, Crunden JL, Chen J, Steel KP: Inner hair cell dysfunction in <em>Klhl18</em> mutant mice leads to low frequency progressive hearing loss. bioRxiv 2021:2021.2003.2009.434536.

  22. Olesen C, Picard M, Winther AM, Gyrup C, Morth JP, Oxvig C, Moller JV, Nissen P. The structural basis of calcium transport by the calcium pump. Nature. 2007;450(7172):1036–42.

    CAS  PubMed  Google Scholar 

  23. Mouse Genome Informatics. Accessed December 2020

  24. Bortolozzi M, Brini M, Parkinson N, Crispino G, Scimemi P, De Siati RD, Di Leva F, Parker A, Ortolano S, Arslan E, et al. The novel PMCA2 pump mutation Tommy impairs cytosolic calcium clearance in hair cells and links to deafness in mice. J Biol Chem. 2010;285(48):37693–703.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Carpinelli MR, Manning MG, Kile BT, Burt RA. Two ENU-induced alleles of Atp2b2 cause deafness in mice. PLoS One. 2013;8(6):e67479.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Chen Z, Hayasaka S, Takagishi Y, Murata Y, Oda S. A novel mutant mouse, joggle, with inherited ataxia. Exp Anim. 2006;55(4):411–4.

    CAS  PubMed  Google Scholar 

  27. Kozel PJ, Friedman RA, Erway LC, Yamoah EN, Liu LH, Riddle T, Duffy JJ, Doetschman T, Miller ML, Cardell EL, et al. Balance and hearing deficits in mice with a null mutation in the gene encoding plasma membrane Ca2+-ATPase isoform 2. J Biol Chem. 1998;273(30):18693–6.

    CAS  PubMed  Google Scholar 

  28. McCullough BJ, Tempel BL. Haplo-insufficiency revealed in deafwaddler mice when tested for hearing loss and ataxia. Hear Res. 2004;195(1–2):90–102.

    CAS  PubMed  Google Scholar 

  29. Murray A, SoRelle J, Chen Z. Mutagenetix: phenotypic mutation 'lohan'. Accessed November 2020.

  30. Murray A, Zhang Z, Beutler B. Mutagenetix: phenotypic mutation 'johan'. Accessed November 2020.

  31. Spiden SL, Bortolozzi M, Di Leva F, de Angelis MH, Fuchs H, Lim D, Ortolano S, Ingham NJ, Brini M, Carafoli E, et al. The novel mouse mutation Oblivion inactivates the PMCA2 pump and causes progressive hearing loss. PLoS Genet. 2008;4(10):e1000238.

    PubMed  PubMed Central  Google Scholar 

  32. Street VA, McKee-Johnson JW, Fonseca RC, Tempel BL, Noben-Trauth K. Mutations in a plasma membrane Ca2+-ATPase gene cause deafness in deafwaddler mice. Nat Genet. 1998;19(4):390–4.

    CAS  PubMed  Google Scholar 

  33. Takahashi K, Kitamura K. A point mutation in a plasma membrane Ca(2+)-ATPase gene causes deafness in Wriggle Mouse Sagami. Biochem Biophys Res Commun. 1999;261(3):773–8.

    CAS  PubMed  Google Scholar 

  34. Tsai YS, Pendse A, Moy SS, Mohri I, Perez A, Crawley JN, Suzuki K, Maeda N. A de novo deafwaddler mutation of Pmca2 arising in ES cells and hitchhiking with a targeted modification of the Pparg gene. Mamm Genome. 2006;17(7):716–22.

    CAS  PubMed  Google Scholar 

  35. Watson CJ, Tempel BL. A new Atp2b2 deafwaddler allele, dfw(i5), interacts strongly with Cdh23 and other auditory modifiers. Hear Res. 2013;304:41–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Xu L, Wang Z, Xiong X, Gu X, Gao X, Gao X. Identification of a novel point mutation of mouse Atp2b2 induced by N-ethyl-N-nitrosourea mutagenesis. Exp Anim. 2011;60(1):71–8.

    CAS  PubMed  Google Scholar 

  37. Komada M, McLean DJ, Griswold MD, Russell LD, Soriano P. E-MAP-115, encoding a microtubule-associated protein, is a retinoic acid-inducible gene required for spermatogenesis. Genes Dev. 2000;14(11):1332–42.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Magnan DR, Spacek DV, Ye N, Lu YC, King TR. The male sterility and histoincompatibility (mshi) mutation in mice is a natural variant of microtubule-associated protein 7 (Mtap7). Mol Genet Metab. 2009;97(2):155–62.

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Yoshikawa M, Iriyama T, Suzuki K, Sayama S, Tsuruga T, Kumasawa K, Nagamatsu T, Homma K, Naguro I, Osuga Y, et al. ASK1 promotes uterine inflammation leading to pathological preterm birth. Sci Rep. 2020;10(1):1887.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Orvis J, Gottfried B, Kancherla J, Adkins RS, Song Y, Dror AA, Olley D, Rose K, Chrysostomou E, Kelly MC, et al. gEAR: Gene Expression Analysis Resource portal for community-driven, multi-omic data exploration. Nat Methods. 2021;18(8):843–4.

    CAS  PubMed  Google Scholar 

  41. Tian C, Johnson KR. TBX1 is required for normal stria vascularis and semicircular canal development. Dev Biol. 2020;457(1):91–103.

    CAS  PubMed  Google Scholar 

  42. Chen J, Zhang X, Li J, Song C, Jia Y, Xiong W. Identification of a novel ENU-induced mutation in mouse Tbx1 linked to human digeorge syndrome. Neural Plast. 2016;2016:5836143.

    PubMed  PubMed Central  Google Scholar 

  43. Jerome LA, Papaioannou VE. DiGeorge syndrome phenotype in mice mutant for the T-box gene, Tbx1. Nat Genet. 2001;27(3):286–91.

    CAS  PubMed  Google Scholar 

  44. Liao J, Kochilas L, Nowotschin S, Arnold JS, Aggarwal VS, Epstein JA, Brown MC, Adams J, Morrow BE. Full spectrum of malformations in velo-cardio-facial syndrome/DiGeorge syndrome mouse models by altering Tbx1 dosage. Hum Mol Genet. 2004;13(15):1577–85.

    CAS  PubMed  Google Scholar 

  45. Lindsay EA, Vitelli F, Su H, Morishima M, Huynh T, Pramparo T, Jurecic V, Ogunrinu G, Sutherland HF, Scambler PJ, et al. Tbx1 haploinsufficieny in the DiGeorge syndrome region causes aortic arch defects in mice. Nature. 2001;410(6824):97–101.

    CAS  PubMed  Google Scholar 

  46. Ng SB, Bigham AW, Buckingham KJ, Hannibal MC, McMillin MJ, Gildersleeve HI, Beck AE, Tabor HK, Cooper GM, Mefford HC, et al. Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome. Nat Genet. 2010;42(9):790–3.

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Raphael Y, Kobayashi KN, Dootz GA, Beyer LA, Dolan DF, Burmeister M. Severe vestibular and auditory impairment in three alleles of Ames waltzer (av) mice. Hear Res. 2001;151(1–2):237–49.

    CAS  PubMed  Google Scholar 

  48. Alagramam KN, Kwon HY, Cacheiro NL, Stubbs L, Wright CG, Erway LC, Woychik RP. A new mouse insertional mutation that causes sensorineural deafness and vestibular defects. Genetics. 1999;152(4):1691–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Lefevre G, Michel V, Weil D, Lepelletier L, Bizard E, Wolfrum U, Hardelin JP, Petit C. A core cochlear phenotype in USH1 mouse mutants implicates fibrous links of the hair bundle in its cohesion, orientation and differential growth. Development. 2008;135(8):1427–37.

    CAS  PubMed  Google Scholar 

  50. Pawlowski KS, Kikkawa YS, Wright CG, Alagramam KN. Progression of inner ear pathology in Ames waltzer mice and the role of protocadherin 15 in hair cell development. J Assoc Res Otolaryngol. 2006;7(2):83–94.

    PubMed  PubMed Central  Google Scholar 

  51. Dixon MJ, Gazzard J, Chaudhry SS, Sampson N, Schulte BA, Steel KP. Mutation of the Na-K-Cl co-transporter gene Slc12a2 results in deafness in mice. Hum Mol Genet. 1999;8(8):1579–84.

    CAS  PubMed  Google Scholar 

  52. Bock GR, Steel KP. Inner ear pathology in the deafness mutant mouse. Acta Otolaryngol. 1983;96(1–2):39–47.

    CAS  PubMed  Google Scholar 

  53. Rzadzinska A, Schneider M, Noben-Trauth K, Bartles JR, Kachar B. Balanced levels of Espin are critical for stereociliary growth and length maintenance. Cell Motil Cytoskeleton. 2005;62(3):157–65.

    CAS  PubMed  Google Scholar 

  54. Sjostrom B, Anniko M. Cochlear structure and function in a recessive type of genetically induced inner ear degeneration. ORL J Otorhinolaryngol Relat Spec. 1992;54(4):220–8.

    CAS  PubMed  Google Scholar 

  55. Maksakova IA, Romanish MT, Gagnier L, Dunn CA, van de Lagemaat LN, Mager DL. Retroviral elements and their hosts: insertional mutagenesis in the mouse germ line. PLoS Genet. 2006;2(1):e2.

    PubMed  PubMed Central  Google Scholar 

  56. Pettitt SJ, Liang Q, Rairdan XY, Moran JL, Prosser HM, Beier DR, Lloyd KC, Bradley A, Skarnes WC. Agouti C57BL/6N embryonic stem cells for mouse genetic resources. Nat Methods. 2009;6(7):493–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Herr DR, Grillet N, Schwander M, Rivera R, Muller U, Chun J. Sphingosine 1-phosphate (S1P) signaling is required for maintenance of hair cells mainly via activation of S1P2. J Neurosci. 2007;27(6):1474–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  58. Kono M, Belyantseva IA, Skoura A, Frolenkov GI, Starost MF, Dreier JL, Lidington D, Bolz SS, Friedman TB, Hla T, et al. Deafness and stria vascularis defects in S1P2 receptor-null mice. J Biol Chem. 2007;282(14):10690–6.

    CAS  PubMed  Google Scholar 

  59. MacLennan AJ, Benner SJ, Andringa A, Chaves AH, Rosing JL, Vesey R, Karpman AM, Cronier SA, Lee N, Erway LC, et al. The S1P2 sphingosine 1-phosphate receptor is essential for auditory and vestibular function. Hear Res. 2006;220(1–2):38–48.

    CAS  PubMed  Google Scholar 

  60. Raft S, Nowotschin S, Liao J, Morrow BE. Suppression of neural fate and control of inner ear morphogenesis by Tbx1. Development. 2004;131(8):1801–12.

    CAS  PubMed  Google Scholar 

  61. Vitelli F, Viola A, Morishima M, Pramparo T, Baldini A, Lindsay E. TBX1 is required for inner ear morphogenesis. Hum Mol Genet. 2003;12(16):2041–8.

    CAS  PubMed  Google Scholar 

  62. Alagramam KN, Murcia CL, Kwon HY, Pawlowski KS, Wright CG, Woychik RP. The mouse Ames waltzer hearing-loss mutant is caused by mutation of Pcdh15, a novel protocadherin gene. Nat Genet. 2001;27(1):99–102.

    CAS  PubMed  Google Scholar 

  63. Zheng L, Sekerkova G, Vranich K, Tilney LG, Mugnaini E, Bartles JR. The deaf jerker mouse has a mutation in the gene encoding the espin actin-bundling proteins of hair cell stereocilia and lacks espins. Cell. 2000;102(3):377–85.

    CAS  PubMed  PubMed Central  Google Scholar 

  64. Kumar RA, Chan KL, Wong AH, Little KQ, Rajcan-Separovic E, Abrahams BS, Simpson EM. Unexpected embryonic stem (ES) cell mutations represent a concern in gene targeting: lessons from “fierce” mice. Genesis. 2004;38(2):51–7.

    CAS  PubMed  Google Scholar 

  65. Westrick RJ, Mohlke KL, Korepta LM, Yang AY, Zhu G, Manning SL, Winn ME, Dougherty KM, Ginsburg D. Spontaneous Irs1 passenger mutation linked to a gene-targeted SerpinB2 allele. Proc Natl Acad Sci U S A. 2010;107(39):16904–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  66. Ingham NJ. Evoked potential recordings of auditory brainstem activity in the mouse an optimized method for the assessment of hearing function of mice. Bio-protocol. 2019;9(23):e3447.

    PubMed  PubMed Central  Google Scholar 

  67. Ingham NJ, Pearson S, Steel KP. Using the auditory brainstem response (abr) to determine sensitivity of hearing in mutant mice. Curr Protoc Mouse Biol. 2011;1(2):279–87.

    PubMed  Google Scholar 

  68. Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25(14):1754–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  69. Andrews S. FastQC: a quality control tool for high throughput sequence data. Accessed 2016

  70. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  71. Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):357–60.

    CAS  PubMed  PubMed Central  Google Scholar 

  72. Keane TM, Goodstadt L, Danecek P, White MA, Wong K, Yalcin B, Heger A, Agam A, Slater G, Goodson M, et al. Mouse genomic variation and its effect on phenotypes and gene regulation. Nature. 2011;477(7364):289–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  73. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297–303.

    CAS  PubMed  PubMed Central  Google Scholar 

  74. Institute B. Picard: A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. 2016.

  75. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. Genome Project Data Processing S: The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.

    PubMed  PubMed Central  Google Scholar 

  76. Albers CA, Lunter G, MacArthur DG, McVean G, Ouwehand WH, Durbin R. Dindel: accurate indel calls from short-read data. Genome Res. 2011;21(6):961–73.

    CAS  PubMed  PubMed Central  Google Scholar 

  77. Chen K, Wallis JW, McLellan MD, Larson DE, Kalicki JM, Pohl CS, McGrath SD, Wendl MC, Zhang Q, Locke DP, et al. BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. Nat Methods. 2009;6(9):677–81.

    CAS  PubMed  PubMed Central  Google Scholar 

  78. Ye K, Schulz MH, Long Q, Apweiler R, Ning Z. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. Bioinformatics. 2009;25(21):2865–71.

    CAS  PubMed  PubMed Central  Google Scholar 

  79. McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GR, Thormann A, Flicek P, Cunningham F. The ensembl variant effect predictor. Genome Biol. 2016;17(1):122.

    PubMed  PubMed Central  Google Scholar 

  80. Hunt SE, McLaren W, Gil L, Thormann A, Schuilenburg H, Sheppard D, Parton A, Armean IM, Trevanion SJ, Flicek P et al: Ensembl variation resources. Database (Oxford) 2018, 2018.

  81. Zerbino DR, Achuthan P, Akanni W, Amode MR, Barrell D, Bhai J, Billis K, Cummins C, Gall A, Giron CG, et al. Ensembl 2018. Nucleic Acids Res. 2018;46(D1):D754–61.

    CAS  PubMed  Google Scholar 

  82. Robinson JT, Thorvaldsdottir H, Winckler W, Guttman M, Lander ES, Getz G, Mesirov JP. Integrative genomics viewer. Nat Biotechnol. 2011;29(1):24–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  83. Schrodinger, LLC: The PyMOL molecular graphics system, version 1.8. In.; 2015.

  84. Bonfield JK, Smith K, Staden R. A new DNA sequence assembly program. Nucleic Acids Res. 1995;23(24):4992–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  85. Calculate and draw custom Venn diagrams. Accessed November 2020.

  86. Kelly MC, Kolla L, Kelley LA, Morell RJ. Characterization of cochlear development at the single cell level. GEO. 2020. Accessed December 2021.

  87. Kolla L, Kelly MC, Mann ZF, Anaya-Rocha A, Ellis K, Lemons A, Palermo AT, So KS, Mays JC, Orvis J, et al. Characterization of the development of the mouse cochlear epithelium at the single cell level. Nat Commun. 2020;11(1):2389.

    PubMed  PubMed Central  Google Scholar 

  88. Ranum PT, Smith RJ. Insights into the biology of hearing and deafness revealed by single-cell RNA sequencing. GEO. 2019. Accessed December 2021.

  89. Ranum PT, Goodwin AT, Yoshimura H, Kolbe DL, Walls WD, Koh JY, He DZZ, Smith RJH. Insights into the biology of hearing and deafness revealed by single-cell RNA sequencing. Cell Rep. 2019;26(11):3160–71.

    CAS  PubMed  PubMed Central  Google Scholar 

  90. Xue N, Song L, Wu H, Navaratnam D. scRNA-seq of P20 mouse cochlea. GEO. 2021. Accessed December 2021.

  91. Xue N, Song L, Song Q, Santos-Sacchi J, Wu H, Navaratnam D. Genes related to SNPs identified by Genome-wide association studies of age-related hearing loss show restriction to specific cell types in the adult mouse cochlea. Hear Res. 2021;410:108347.

    PubMed  Google Scholar 

  92. Hoa M. Characterizing cellular heterogeneity and homeostatic gene regulatory networks in the adult mammalian stria vascularis using single cell and single nucleus transcriptional profiling. GEO. 2019. Accessed December 2021.

  93. Korrapati S, Taukulis I, Olszewski R, Pyle M, Gu S, Singh R, Griffiths C, Martin D, Boger E, Morell RJ, et al. Single cell and single nucleus RNA-Seq reveal cellular heterogeneity and homeostatic regulatory networks in adult mouse stria vascularis. Front Mol Neurosci. 2019;12:316.

    CAS  PubMed  PubMed Central  Google Scholar 

  94. gene Expression Analysis Resource. Accessed December 2021.

  95. Hunter-Duvar IM. A technique for preparation of cochlear specimens for assessment with the scanning electron microscope. Acta Otolaryngol Suppl. 1978;351:3–23.

    CAS  PubMed  Google Scholar 

  96. Buniello A, Hardisty-Hughes RE, Pass JC, Bober E, Smith RJ, Steel KP. Headbobber a combined morphogenetic and cochleosaccular mouse model to study 10qter deletions in human deafness. PLoS One. 2013;8(2):e56274.

    CAS  PubMed  PubMed Central  Google Scholar 

  97. Laporta J, Keil KP, Vezina CM, Hernandez LL. Peripheral serotonin regulates maternal calcium trafficking in mammary epithelial cells during lactation in mice. PLoS One. 2014;9(10):e110190.

    PubMed  PubMed Central  Google Scholar 

  98. Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, Rozen SG. Primer3 new capabilities and interfaces. Nucleic acids research. 2012;40(15):e115.

    CAS  PubMed  PubMed Central  Google Scholar 

  99. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(T)(-Delta Delta C) method. Methods. 2001;25(4):402–8.

    CAS  PubMed  Google Scholar 

  100. Morrison A, Hodgetts C, Gossler A. Hrabe de Angelis M, Lewis J: Expression of Delta1 and Serrate1 (Jagged1) in the mouse inner ear. Mech Dev. 1999;84(1–2):169–72.

    CAS  PubMed  Google Scholar 

  101. Zine A, Van De Water TR, de Ribaupierre F. Notch signaling regulates the pattern of auditory hair cell differentiation in mammals. Development. 2000;127(15):3373–83.

    PubMed  Google Scholar 

  102. Bridge PD, Sawilowsky SS. Increasing physicians’ awareness of the impact of statistics on research outcomes: comparative power of the t-test and and Wilcoxon Rank-Sum test in small samples applied research. J Clin Epidemiol. 1999;52(3):229–35.

    CAS  PubMed  Google Scholar 

  103. Delacre M, Leys C, Mora YL, Lakens D. Taking parametric assumptions seriously: arguments for the use of Welch’s F-test instead of the classical F-test in one-way ANOVA. Int Rev Soc Psychol. 2019;32(1):13.

    Google Scholar 

  104. El Omari K, De Mesmaeker J, Karia D, Ginn H, Bhattacharya S, Mancini EJ. Structure of the DNA-bound T-box domain of human TBX1, a transcription factor associated with the DiGeorge syndrome. Proteins. 2012;80(2):655–60.

    PubMed  Google Scholar 

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We are grateful to Cassandra Whelan for assistance with the MYO7A staining on the Atp2b2Tkh and Tbx1ttch mutants, Seham Ebrahim for additional analysis on the Atp2b2Tkh mutants, Elysia James for protein modelling of KLHL18, Maria Lachgar-Ruiz for assistance with genotyping, Samoela Rexhaj for help with the mapping of the rhme mutation, Hannah Thompson for initial analysis of the Tbx1ttch mutants, Zahra Hance for her work on the vthr mutant, Rosalind Lacey and James Bussell for assistance with mouse colony management, and the Mouse Genetics Project for initial phenotyping of all these mutants. Scanning electron microscopy was carried out at the Wellcome Sanger Institute and King’s College London Centre for Ultrastructural Imaging.


This work was supported by Wellcome (098051, 100669), Medical Research Council (MC_qA137918; G0300212 to KPS.), the European Commission (EUMODIC contract No. LSHG-CT-2006–037188 to KPS) and the BBSRC (BB/M02069X/1 to KPS) and King’s College London. AST is funded by the Wellcome Trust (102889/Z/13/Z). TK was supported by the Medical Research Council (MR/L007428/1) and BBSRC (BB/M000281/1). AW was supported by a grant from the Research Foundation Flanders (1700317 N). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

This research was funded in whole, or in part, by the Wellcome Trust [089051, 100,669, 102,889/Z/13/Z]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. According to UK research councils’ Common Principles on Data Policy, and Wellcome Trust’s Policy on data, software and materials management and sharing, all data supporting this study will be openly available at,, and

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Electrophysiology was carried out by NJI, MAL, SP, VR and JP. The mapping and segregation testing was done by MAL, JC, SP, RA and MD, and MAL aligned and analysed the exome sequencing data and carried out the resequencing. Gross morphological analyses of the middle and inner ear were performed by MAL, AW, SR and MD, and scanning electron microscopy was carried out and analysed by JC, FDD and MD. MAL, FDD, RA and AW contributed to the immunohistochemistry and qPCR. AST reconstructed and analysed the microCT scans. TK and DA carried out exome sequencing and quality control. MAL, NJI, JC, AST, JKW and KPS supervised the research. MAL, NJI, JC and KPS wrote the paper. The authors read and approved the final manuscript.

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Correspondence to Morag A. Lewis.

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Mouse studies were carried out in accordance with UK Home Office regulations and the UK Animals (Scientific Procedures) Act of 1986 (ASPA) under UK Home Office licences, and the study was approved by both the Wellcome Trust Sanger Institute and the King’s College London Ethical Review Committees. Mice were culled using methods approved under these licences to minimise any possibility of suffering.

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Lewis, M.A., Ingham, N.J., Chen, J. et al. Identification and characterisation of spontaneous mutations causing deafness from a targeted knockout programme. BMC Biol 20, 67 (2022).

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  • Spontaneous mutations
  • Large-scale mutagenesis programme
  • Deafness
  • Progressive hearing loss
  • Non-segregating phenotypes