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Developmental Biology 394 (2014) 242–252

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Developmental Biology journal homepage: www.elsevier.com/locate/developmentalbiology

Marker genes identify three somatic cell types in the fetal mouse ovary
Raphael H. Rastetter a,1, Pascal Bernard a,1, James S. Palmer b, Anne-Amandine Chassot c,d,
Huijun Chen b, Patrick S. Western e, Robert G. Ramsay f,g, Marie-Christine Chaboissier c,d,
Dagmar Wilhelm a,n a Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC 3800, Australia
Division of Molecular Genetics and Development, Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4075, Australia c University of Nice-Sophia Antipolis, UFR Sciences, Nice, France d INSERM U1091, CNRS UMR7277, IBV, Nice, France e MIMR-PHI Institute of Medical Research, Clayton, VIC 3800, Australia f Sir Peter MacCallum, Department of Oncology and the Pathology Department, The University of Melbourne, Parkville, VIC, Australia g Department of Pathology, The University of Melbourne, Parkville, VIC, Australia b ar t ic l e i nf o

a b s t r a c t

Article history:
Received 27 June 2014
Received in revised form
12 August 2014
Accepted 15 August 2014
Available online 23 August 2014

The two main functions of the ovary are the production of oocytes, which allows the continuation of the species, and secretion of female sex hormones, which control many aspects of female development and physiology. Normal development of the ovaries during embryogenesis is critical for their function and the health of the individual in later life. Although the adult ovary has been investigated in great detail, we are only starting to understand the cellular and molecular biology of early ovarian development. Here we show that the adult stem cell marker Lgr5 is expressed in the cortical region of the fetal ovary and this expression is mutually exclusive to FOXL2. Strikingly, a third somatic cell population can be identified, marked by the expression of NR2F2, which is expressed in LGR5- and FOXL2 double-negative ovarian somatic cells. Together, these three marker genes label distinct ovarian somatic cell types. Using lineage tracing in mice, we show that Lgr5-positive cells give rise to adult cortical granulosa cells, which form the follicles of the definitive reserve. Moreover, LGR5 is required for correct timing of germ cell differentiation as evidenced by a delay of entry into meiosis in Lgr5 loss-of-function mutants, demonstrating a key role for LGR5 in the differentiation of pre-granulosa cells, which ensure the differentiation of oogonia, the formation of the definitive follicle reserve, and long-term female fertility.
& 2014 Elsevier Inc. All rights reserved.

Keywords:
Foxl2
Lgr5
Nr2f2
Rspo1
Wnt4
Ovary

Introduction
Ovaries develop from a bipotential anlage, the genital ridges, which arise as paired structures at the ventro-medial surface of the mesonephros at around 10 days post coitum (dpc) in mice.
Approximately half a day later, at 10.5 dpc, the male-determining gene Sry on the Y chromosome is up-regulated in XY genital ridges and drives differentiation into a testis. If Sry is not present, e.g. in an XX individual, or its expression or function is misregulated, the genital ridge will develop into an ovary (Warr and Greenfield,
2012; Wilhelm et al., 2013). The differentiation of an ovary is actively driven by a number of genes, including Wnt4 (winglessrelated MMTV integration site 4) (Vainio et al., 1999), Rspo1 (Rspondin 1) (Parma et al., 2006) and Foxl2 (forkhead box L2)
(Ottolenghi et al., 2005; Schmidt et al., 2004).

n

Corresponding author. Fax: þ61 3 9902 9223.
E-mail address: dagmar.wilhelm@monash.edu (D. Wilhelm).
1
Equal first authors.

http://dx.doi.org/10.1016/j.ydbio.2014.08.013
0012-1606/& 2014 Elsevier Inc. All rights reserved.

During fetal ovarian development, primordial germ cells that have migrated to the genital ridge (Bendel-Stenzel et al., 1998) can be distinguished from ovarian somatic cells based on their morphology and through marker gene expression. Different somatic cells have been categorized into vasculature and vascular-associated cell lineages, general somatic cell lineage and pre-granulosa cell lineage based on gene expression pattern (Maatouk et al., 2012). Recent data demonstrated that two classes of pre-granulosa cells exist in the fetal mouse ovary (Mork et al., 2012; Zheng et al., 2014a). The first class, marked by the expression of FOXL2 at the early fetal stages, gives rise to granulosa cells of follicles in the ovarian medulla (Mork et al., 2012). These medullary follicles are activated before puberty and contribute to the onset of puberty and to early fertility (Zheng et al., 2014a). The second class of pre-granulosa cells, for which no marker gene has yet been identified, resides in the cortical region of the fetal ovary (Mork et al.,
2012). These cells will differentiate into granulosa cells of the cortical follicles that are gradually activated and therefore constitute the definitive pool of primordial follicles for the entire reproductive lifespan of the organism (Monget et al., 2012). All granulosa cells in the postnatal ovary, i.e. granulosa cells of the medullary and cortical

R.H. Rastetter et al. / Developmental Biology 394 (2014) 242–252

follicles, are marked by the expression of FOXL2 (Pisarska et al., 2004).
In addition to granulosa cells, the developing ovary contains steroidogenic theca cells, the origin of which is even less clear. They are first observed after birth when a follicle consists of two or more layers of granulosa cells and it is assumed that signals from the growing follicles stimulate the differentiation of theca cells from unidentified progenitor populations (Young and McNeilly, 2010). Similar to the cortical pregranulosa cells, markers specific for theca progenitor cell populations have not yet been identified.
Lgr5 encodes a G-protein-coupled receptor that is related to the hormone receptors for thyroid-stimulating hormone, folliclestimulating hormone and luteinizing hormone. They belong to the large, G-protein-coupled, 7-transmembrane family of proteins
(Hermey et al., 1999). Lgr5 was identified as a WNT target gene in colon carcinoma cell lines and patient-derived colorectal cancer samples (Van der Flier et al., 2007) and shown to mark adult stem cells in the small intestine, colon, stomach, and hair follicles
(Barker et al., 2010, 2007; Jaks et al., 2008) and, more recently, as a marker of stem cells in the ovarian surface epithelium, which contains a cancer-prone stem cell niche (Flesken-Nikitin et al.,
2013; Ng et al., 2014). For a long time, LGR5 was considered to be an orphan receptor, with ligands remaining unknown. However, recently it has been shown that LGR5 binds R-spondins with high affinity and enhances RSPO/WNT/β-catenin signaling (Carmon et al., 2011; Chen et al., 2013; de Lau et al., 2011; Ruffner et al., 2012).
While the function of LGR5 in adult stem cells has been investigated in great detail, its role during embryogenesis is less clear.
Deletion of Lgr5 in vivo results in neonatal lethality associated with a malformation of the tongue among other pathologies
(Kinzel et al., 2014; Morita et al., 2004). In addition, the importance of both LGR5 and the related factor LGR4 in embryonic gut, kidney and skin development has been reported recently (Kinzel et al., 2014). In contrast, the involvement of these factors in gonad development is unknown.
Here we show that WNT4 and RSPO1 signaling up-regulates
Lgr5 expression in the developing ovary as part of an apparent feed-forward WNT signaling regulatory network. LGR5 in turn is necessary for proper germ cell differentiation, consistent with its role as a RSPO1 receptor. Furthermore, the expression of LGR5,
FOXL2 and another transcription factor, NR2F2, in ovarian somatic cells is mutually exclusive, demonstrating that at least three different somatic cell precursors exist in the fetal ovary. Moreover, using lineage tracing, we demonstrate that LGR5-positive cells give rise to cortical granulosa cells, which are essential for the formation of the follicles, thereby establishing the ovarian reserve.

Materials and methods
Mouse strains
Wild-type C57BL/6 mice were obtained from Monash University
Central animal services. Lgr5 knock-in mice (Lgr5tm1(cre/ERT2)Cle/J
(Lgr5-eGFP-IRES-CreERT2), (Barker et al., 2007)) and Rosa26-lacZ reporter mice ((Gt(ROSA)26Sortm1Sor/J, (Soriano, 1999)) were obtained from the Jackson laboratory. Wnt4 À / À and Rspo1 À / À mice have been described before (Chassot et al., 2008; Vainio et al., 1999) and were maintained on a mixed 129/C57BL6 genetic background.
Mouse embryos were collected from timed matings with noon of the day on which the mating plug was observed designated 0.5 days post coitum (dpc). For more accurate staging, the tail somite (ts) stage of the embryo was determined by counting the number of somites posterior to the hind limb (Hacker et al., 1995). Using this method, 10.5 dpc corresponds to approximately 8 ts, 11.5 dpc to
18 ts, and 12.5 dpc to 30 ts. The genetic sex of the embryos was determined by PCR for pseudoautosomal genes on the X and the Y

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chromosome (McFarlane et al., 2013). Protocols and use of animals conformed to the National Health and Medical Research Council/
Commonwealth Scientific and Industrial Research Organization/
Australian Agricultural Council Code of Practice for the Care and
Use of Animals for Experimental Purposes and were approved by the Monash Animal Research Platform Committee on Ethics in
Animal Experimentation.

Quantitative real-time RT-PCR (qRT-PCR) qRT-PCR using SYBR green (Invitrogen) was performed as described previously (Svingen et al., 2009; van den Bergen et al.,
2009). qRT-PCR at all stages was performed on gonad-only samples with mesonephroi removed. Briefly, 200 ng of input
RNA, pooled from like samples, was subject to cDNA synthesis with SuperScript III First-Strand Synthesis System for RT-PCR
(Invitrogen) as per manufacturer’s instructions. 1 μl of the resultant cDNA reaction was used in a 20 μl qRT-PCR mastermix containing 1 Â SYBR Green PCR Master Mix (Applied Biosystems) and 175 nM each of the forward and reverse primers. 5 μl triplicate reactions were run in 384 well plates on a Viia7 Real
Time PCR System (Applied Biosystems) as technical replicates.
Products were analyzed by gel electrophoresis then cloned and sequenced to verify specificity of amplified sequence. Primer efficiencies were determined, which were similar for all primer pairs used in this analysis. Gene expression was normalized to
Sdha (Svingen et al., 2009) and qRT-PCR analysis was performed on at least three independent biological samples. As positive controls, Foxl2 as an ovarian-enriched gene, and Amh as a testicular gene were included (data not shown) as described before (Chen et al., 2012). For each gene, data sets were analyzed for statistically significant differences between XX and XY expression levels using a two-tailed, unpaired t-test with confidence intervals set at 95%. Primers used are described in Table S1.

Immunofluorescence
Embryos were retrieved at different stages during embryonic development and either processed whole or gonads dissected and fixed in 4% paraformaldehyde (PFA) in PBS at 4 1C. Embryos and isolated gonads were embedded in paraffin and immunofluorescence performed as described previously (Wilhelm et al., 2005).
Primary antibodies used for this study were goat anti-EGFP
(Abcam) used at 1:200, chicken anti-EGFP (Abcam) used at
1:200, mouse anti-EGFP (Santa Cruz) used at 1:200, goat antiMVH (R&D Systems) used at 1:400, rabbit anti-FOXL2 (Wilhelm et al., 2009) used at 1:400, rabbit anti-SOX9 (Wilhelm et al., 2005) used at 1:200, mouse anti-NR2F2 (Persus Proteomics) used at
1:300, goat anti-β-galactosidase (BioGenesis) used at 1:200, mouse anti-OCT4 (Santa Cruz) used at 1:50, rabbit anti-SYCP3
(Abcam) used at 1:200, rabbit anti-CD31 (PECAM1; Abcam) used at 1:50 and mouse anti-E-cadherin (BD Transduction Laboratories) used at 1:300. Secondary antibodies used were donkey anti-goat
Alexa 488, goat anti-chicken Alexa 488, donkey anti-mouse Alexa
488, goat anti-mouse Alexa 546, donkey anti-rabbit Alexa 488, donkey anti-rabbit Alexa 594 and goat anti-rabbit Alexa 647 all obtained from Invitrogen and used at 1:300, as well as 40 ,6diamidino-2-phenylindole (DAPI, from Molecular Probes) used at
1:2000 to visualize nuclear DNA in immunofluorescence using a
Zeiss LSM 510 Meta confocal microscope at the Australian Cancer
Research Foundation Dynamic Imaging Centre for Cancer Biology,
University of Queensland and a Nikon C1 confocal microscope running with NIS Elements Software (Nikon, Tokyo, Japan) at the
Monash Micro Imaging Facility.

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Section in situ hybridization (ISH)
In situ probes for Lgr4 (NM_172671), Lgr5 (NM_010195), and
Lgr6 (NM_001033409) were cloned by RT-PCR from RNA prepared from whole mouse embryos at 13.5 dpc. Primers used to generate gene-specific ISH probes are listed in Table S1. Section ISH was carried out as described previously (Wilhelm et al., 2007) and imaged using an Olympus BX-51 microscope.

Lgr5 has been identified as a WNT target gene in colon carcinoma cell lines (Van der Flier et al., 2007). To test if Lgr5 expression is also dependent on WNT signaling during gonadal development, we compared its expression by qRT-PCR in Wnt4 À / À
(Fig. 2A), Rspo1 À / À (Fig. 2B), and control ovaries at 12.5 dpc. In both Wnt4 and Rspo1 knockout ovaries, Lgr5 expression was statistically significantly reduced when compared to control ovaries, demonstrating that WNT signaling is also necessary for upregulating Lgr5 expression in the developing ovary.

Lineage tracing
Lgr5 is necessary for the differentiation of XX germ cells
To lineage-trace Lgr5-expressing cells throughout development, we made use of the Cre-ERT2 gene “knocked-in” to the Lgr5 locus and
Rosa26-lacZ reporter mice (Gt(ROSA)26Sortm1Sor/J, (Soriano, 1999)).
Lgr5 À / þ mice were bred with Rosa26-lacZ mice and pregnant females were injected with 2 mg tamoxifen (20 mg/ml) per 40 g body weight at 13.5, 15.5 and 17.5 dpc. To counteract the mixed estrogen agonist effects of tamoxifen injections, which can result in late fetal abortions in pregnant mice, progesterone was co-injected at 13.5 dpc. The ovaries from offspring were collected at 2 and 4 weeks postnatally and either stained for β-galactosidase activity as described previously
(Wilhelm and Englert, 2002), embedded in paraffin, sectioned and counterstained with eosin, or embedded in O.C.T. compound (VWR
International), cryosectioned and used in immunofluorescence to detect β-galactosidase protein.
Results
Lgr5 expression is enriched in the ovary and dependent on WNT signaling Lgr5 was previously identified as a gene with high expression in the developing mouse ovary (Jameson et al., 2012; Nef et al.,
2005). To analyze its expression during mouse sex determination and gonad differentiation in greater detail we performed quantitative real-time RT-PCR (qRT-PCR) on mouse fetal gonads from
11.5 dpc, the time of sex determination, to 17.5 dpc, shortly before birth. Lgr5 was expressed at very low levels at 11.5 dpc in both XX and XY genital ridges (Fig. 1A). By 12.5 dpc, Lgr5 expression was elevated in both XX and XY samples but significantly more so in the developing ovary compared to testis. Subsequently, Lgr5 expression was down-regulated in the developing testis, but further up-regulated and maintained at high levels in the ovary until at least 17.5 dpc (Fig. 1A).
Due to the lack of a suitable antibody to detect mouse LGR5 protein, we made use of an Lgr5 EGFP knock-in mouse line (Lgr5tm1(cre/
ERT2)Cle
/J) that expresses EGFP in place of Lgr5. In the phenotypically normal Lgr5 þ /À mice, EGFP recapitulates Lgr5 expression and can be monitored by immunofluorescence (IF) (Barker et al., 2007). EGFP was not detected in the developing testis at any of the stages investigated in Lgr5 À / þ mice (Fig. S1). By contrast, consistent with the increase in
Lgr5 transcription that was detected using qRT-PCR, EGFP-positive cells were detected by IF from 12.5 dpc onwards in the developing ovaries of Lgr5 À / þ mice, with expression becoming increasingly restricted to the cortical region of the ovary (Fig. 1B). This analysis was also supported using section in situ hybridization (ISH) of 11.5 dpc to 13.5 dpc XX and XY mouse embryos (Fig. S2), which confirmed that
EGFP expression recapitulates endogenous Lgr5 expression during gonad development. The expression pattern observed in the section
ISH suggested that Lgr5 was restricted to somatic cells in the ovary
(Fig. S2). Confirming this, co-IF of EGFP and mouse vasa homologue
(MVH), a marker for germ cells, revealed that MVH and LGR5 mark distinct cell populations in 14.5 dpc and 18.5 dpc ovaries, demonstrating that LGR5 is restricted to somatic cells in the developing ovaries
(Fig. 1C).

We have shown that Lgr5 is expressed in the cortical region of the ovary (Fig. 1B), where germ cells survive and form primordial follicles after birth. This suggested a role for LGR5 in contributing to the niche for germ cell maintenance and maturation during ovarian development. In addition, LGR5 protein is a RSPO1 receptor that is necessary to enhance WNT/RSPO signaling
(Carmon et al., 2011; Chen et al., 2013; de Lau et al., 2011;
Ruffner et al., 2012). In both Wnt4 and Rspo1 mutant ovaries, germ cell differentiation and survival is affected (Chassot et al.,
2011, 2008; Tomizuka et al., 2008; Vainio et al., 1999). We therefore analyzed germ cell differentiation and maintenance in Lgr5 À /
À
ovaries by IF. Germ cell differentiation in the embryonic ovary is characterized by entry into meiosis in an anterior-to-posterior wave starting at around 13.5 dpc (Bullejos and Koopman, 2004;
Menke et al., 2003). IF at 14.5 dpc demonstrated that most, if not all, germ cells had entered meiosis in the wild-type ovary as indicated by their high expression of SYCP3 and undetectable levels of the pluripotency marker OCT4 throughout the ovary
(Fig. 3A, top left panel). In contrast, in the Lgr5 À / À ovary at
14.5 dpc only approximately half of the primordial germ cells had entered meiosis (Fig. 3A, bottom left panel), demonstrating that entry into meiosis is delayed in the absence of Lgr5. By
16.5 dpc though, we did not detect any nuclear OCT4 in the Lgr5 À /
À
ovary, and most germ cells expressed phospho-γH2.AX, showing that the germ cells have entered meiosis (Fig. 3A, right panels).
Although meiotic entry of germ cells was delayed, the differentiation of FOXL2-positive cells and EGFP-expressing Lgr5 À / À somatic cells (Fig. S3) appeared normal. In addition, we did not detect any other defects in Lgr5 À / À fetal ovaries.
To examine germ cell numbers in more detail, we carried out IF with the germ cell marker MVH (Toyooka et al., 2000) on 14.5 and
18.5 dpc wild-type and Lgr5 À /À ovaries. While in some samples the number of germ cells in Lgr5 À /À ovaries appeared less than in control ovaries (Fig. 3B), this phenotype was variable with some samples containing normal germ cell numbers (Fig. S4A). These results contrast to the consistent germ cell loss observed in Wnt4 À /À (Vainio et al.,
1999) or Rspo1 À /À (Chassot et al., 2011, 2008; Tomizuka et al., 2008) ovaries. In addition, qRT-PCR for Axin2, a known target of WNT/RSPO signaling (Jho et al., 2002), demonstrated that, in contrast to the Wnt4
(Chassot et al., 2008) and Rspo1 (Chassot et al., 2011, 2008) knockout,
Axin2 expression is unchanged in the absence of Lgr5 (Fig. S4B). Since
Lgr5 À /À mice die neonatally (Morita et al., 2004), analysis of postnatal germ cells was not possible.
Lgr4 but not Lgr6 is expressed in developing mouse gonads
The variation we observed in germ cell numbers in Lgr5 À /À ovaries could be due to compensatory mechanisms involving closely related genes. Indeed, Lgr5 is a member of one of the largest families of seventransmembrane domain receptors, with Lgr4 and Lgr6 being the closest related family members (Hsu et al., 2000). To test if Lgr4 and/ or Lgr6 are expressed in the developing gonads, we performed qRT-PCR (Fig. 4A and B) and section ISH (Fig. 4C). qRT-PCR on 11.5 to 15.5 dpc XX and XY wild-type gonads demonstrated that Lgr4 is

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Fig. 1. Lgr5 expression is ovarian-enriched during mouse gonad development. (A) qRT-PCR of mouse embryonic ovaries (O) and testes (T) from 11.5 to 17.5 dpc demonstrates ovarian-enriched expression of Lgr5. At least three independent biological replicates were performed for qRT-PCR analysis with individual experiments performed in triplicate on RNA obtained from pooled gonads from 3 to 4 littermates and expression levels shown relative to Sdha (mean þSEM of at least three independent experiments; two-tailed, unpaired t-test;
*
pr0.05, **pr0.01, ***pr0.001). (B) IF for EGFP (green) on sagittal section of 12.5 dpc to 6 weeks postnatally (6wk) XX Lgr5 À / þ embryos. EGFP is knocked-in to the Lgr5 locus and mimics endogenous Lgr5 expression. Ovaries are demarcated with dotted line; arrows in the left panel mark EGFP expression in mesonephric tubules, and arrows in the right panel indicate EGFP expression in ovarian epithelial cells. P0: day of birth. Scale bar, 100 μm. (C) Co-IF for EGFP (green) and the definitive germ cell marker MVH (red) on sections of 14.5 and
18.5 dpc XX Lgr5 À / þ embryos demonstrating that EGFP expression in somatic cells. Ovaries are demarcated with dotted line; the second and forth panel show a higher magnification of the area marked by a square in the first and third panel, respectively. Scale bars, 100 μm (left and right panels) and 30 μm (middle panel).

expressed at high level in 11.5 dpc testes and ovaries. At 12.5 dpc expression levels were reduced, and from 13.5 dpc Lgr4 was expressed expression at slightly higher levels in the ovary compared to the testis
(Fig. 4A). Lgr6 showed a similar pattern of increasingly ovarianenriched expression over the course of gonad development albeit at overall lower levels as compared to Lgr4.
To confirm this expression and to identify the cell types that express Lgr4 and Lgr6 we carried out section ISH on 13.5 dpc whole mouse embryos. Lgr4 expression was detected in somatic but not germ cells of the ovary and the testis (Fig. 4C, left and middle panel), supporting the hypothesis that it acts redundantly with Lgr5. In contrast, Lgr6 expression was undetectable by ISH in 13.5 dpc ovaries and testes (Fig. 4C, right panel), confirming the low overall expression

levels detected by qRT-PCR. This was not due to inefficiency in achieving a robust ISH signal, as robust expression of Lgr6 was detected in the hair follicles of the whiskers (Fig. 4C, right panel, red arrows) as has been described before (Snippert et al., 2010).
The fetal ovary contains at least three different somatic cell precursors
Others and we have shown that there is molecular regionalization of the embryonic mouse ovary into distinct cortex and medulla (Chen et al., 2012; Yao et al., 2004). We detected Lgr5 expression in the cortex (Fig. 1B), whereas FOXL2 expression has been described in the medullary region (Chen et al., 2012). To directly compare the expression of these two ovarian somatic cell genes, we

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Fig. 2. Lgr5 is not expressed in Rspo1- and Wnt4-null ovaries. qRT-PCR of control ovaries compared to Rspo1 À / À (A) and Wnt4 À / À (B) ovaries at 12.5 dpc demonstrates a lack of Lgr5 expression in mutant ovaries. At least three independent experiments were performed with individual experiments performed in biological triplicate on RNA obtained from pooled gonads from 3 to 4 littermates and expression levels shown relative to Sdha (mean þSEM of at least three independent experiments; two-tailed, unpaired t-test; *pr 0.05, **p r 0.01, ***p r 0.001).

performed co-IF for EGFP and FOXL2 in 12.5 dpc to 18.5 dpc Lgr5 À / þ ovaries. Interestingly, EGFP and FOXL2 expression were almost completely mutually exclusive at the cellular level at all time points investigated (Fig. 5A and data not shown), suggesting that they mark different somatic cell types. We detected a few cells that expressed both EGFP and FOXL2 especially at the early stages, but in all cases the expression of one of the two proteins appeared very low (arrows in
Fig. 5A, third panel).
We next compared the expression of EGFP and FOXL2 with the expression of NR2F2 (also known as nuclear chicken ovalbumin upstream promoter-transcription factor, COUP-TFII), which has been shown to be expressed in theca cells of human ovaries
(Sato et al., 2003). Surprisingly, double IF for NR2F2 and FOXL2 as well as NR2F2 and EGFP in 13.5 dpc and 15.5 dpc wild-type ovaries showed that the expression of these factors is mutually exclusive at a cellular level (Fig. 5B and C, and data not shown). LGR5, FOXL2 and NR2F2 therefore represent markers that distinguish between three different somatic cells in the mouse ovary. Germ cells can be identified by the DNA stain DAPI, based on their characteristic large, round nuclei. When DAPI was combined with triple IF for
EGFP, FOXL2 and NR2F2 most remaining cells that did not express
EGFP, FOXL2 or NR2F2 had characteristic large round nuclei, indicating that they are germ cells (Fig. 5C, right panel).
The expression pattern of NR2F2 resembled that described for the transcription factor MAFB, which is expressed in cells closely associated with vascular cells (Maatouk et al., 2012). We therefore performed double-IF for NR2F2 and PECAM1, a marker for endothelial cells and germ cells. This analysis showed that NR2F2 is, similar to
MAFB, expressed in cells in close proximity to vascular endothelial cells (Fig. 6A), suggesting that the same cells express these two markers. To examine in more detail whether there are any ovarian somatic cells that do not express FOXL2, EGFP (Lgr5) and NR2F2, we combined the triple IF for EGFP (green), FOXL2 (light blue), and NR2F2
(purple), marking ovarian somatic cells, with IF for MVH (red), labeling germ cells, on 14.5 and 16.5 dpc Lgr5 À / þ ovaries (Fig. 6B). Interestingly, at 14.5 dpc there were still cells throughout the ovary, and especially at the poles, that did not express any of the four factors
(Fig. 6B, arrow heads). Based on the shape of the nuclei these cells appeared to be somatic cells and not germ cells. However, by 16.5 dpc, all ovarian cells expressed either EGFP, FOXL2, NR2F2 or MVH (Fig. 6B), except a few ovarian surface epithelial cells at the base of the ovary
(Fig. 6B, arrow heads).

follicles in the postnatal ovary. They also suggested that somatic cells of the ovarian surface epithelium are precursor cells of the cortical follicles, similar to what has been shown in other species
(Hummitzsch et al., 2013; Sawyer et al., 2002). Based on the expression pattern we described for LGR5 and FOXL2, we hypothesized that these precursor cells are LGR5-positive. To test this hypothesis we made use of the inducible CreERT knocked-in to the
Lgr5 locus of the Lgr5-eGFP-IRES-CreERT2 mice. We crossed these mice with Rosa26-lacZ mice, injected tamoxifen to activate Cre recombinase at 17.5 dpc, and analyzed β-galactosidase activity in the ovaries of offspring at 4 weeks of age. While no βgalactosidase activity was detected in Lgr5 þ / þ :R26LacZ (Fig. 7A, left panel), strong β-galactosidase activity was observed in a subset of granulosa cells of cortical follicles (Fig. 7A, middle and right panel), and in some cells of the ovarian surface epithelium
(Fig. 7A, arrow in middle panel), indicating that LGR5-positive cells at 17.5 dpc gave rise to granulosa cells of the cortical follicles.
Next, we asked whether Lgr5-positive cells at earlier stages also give rise to cortical granulosa cells in the postnatal ovary. To answer this question, Lgr5-eGFP-IRES-CreERT2 mice crossed with
R26-LacZ mice were injected with tamoxifen at 13.5 dpc and β-galactosidase detected by IF on 4-week-old ovaries from offspring. No β-galactosidase signal was detected in control ovaries
(Fig. 7B, left panel), whereas β-galactosidase was present in cortical granulosa cells of Lgr5 À / þ :R26lacZ ovaries (Fig. 7B, right panel), indicating that Lgr5-positive cells as early as 13.5 dpc represent cortical granulosa precursor cells (Fig. 7B).

Lgr5-positive cells give rise to cortical adult granulosa cells

The study of mouse fetal ovarian development has been hampered by the fact that even after sex is determined and the female program of gene expression in XX genital ridges is activated, no major morphological changes occur in the fetal ovary

Mork et al. (2012) recently showed that FOXL2-positive cells in the fetal ovary give rise to the granulosa cells of the medullary

Discussion
We have identified three factors, LGR5, FOXL2 and NR2F2, that mark specific ovarian somatic cell precursors, of which Lgr5positive somatic cells differentiate into cortical granulosa cells of the adult ovary. In addition, we show that loss of Lgr5, a wellknown adult stem cell marker (Barker et al., 2010, 2007; Jaks et al.,
2008), results in a delay of germ cell entry into meiosis and is therefore involved in fetal ovarian development, most likely in its role as RSPO1 receptor.
Three distinct somatic precursor cell populations exist in the fetal ovary R.H. Rastetter et al. / Developmental Biology 394 (2014) 242–252

Fig. 3. Loss of Lgr5 results in a delay of germ cell entry into meiosis. (A) Double IF for left panel: SYCP3 (green; meiotic germ cells) and OCT4 (red; pluripotency marker of germ cells), or right panel: phospho-γH2AX (green) and OCT4 (red) on sagittal sections of gonads from control and Lgr5-null fetuses at 14.5 dpc (left panel) and 16.5 dpc (right panel). While almost all germ cells in the control ovaries (left upper panel) have upregulated expression of SYCP3 and repressed OCT4, entry into meiosis is delayed in Lgr5null ovaries as indicated by fewer SYCP3 positive cells and more OCT4 positive cells
(bottom left panel). By 16.5 dpc no nuclear OCT4 expression was detected and most germ cells have entered meiosis in wild-type as well as mutant ovaries. Ovaries are demarcated with dotted lines; the extent of the anterior-to-posterior wave of cells entering meiosis is indicated by the brackets. The insets in the right panels show the area marked by a square at higher magnification. Scale bar, 100 μm. (B) IF for the germ cell marker MVH
(green) on 14.5 and 18.5 dpc XX control and Lgr5 À /À fetuses suggests a slight reduction in germ cells in mutant ovaries. Ovaries are demarcated with dotted lines. Scale bar,
50 μm (left panels) and 100 μm (right panels).

for a few days. In contrast, Sertoli cells differentiate in the developing testis and rapidly assemble around clusters of germ cells and undergo mesenchymal-to-epithelial transition to form

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Fig. 4. Lgr4, but not Lgr6, is expressed in mouse embryonic gonads. qRT-PCR for Lgr4
(A) and Lgr6 (B) with RNA isolated from 11.5 to 15.5 dpc mouse embryonic ovaries
(O) and testes (T) demonstrates the expression of Lgr4 in both ovaries and testes at all stages, with higher expression in the ovary from 13.5 dpc onwards. In contrast, Lgr6 is expressed at very low levels with ovarian-enriched expression from 12.5 dpc. At least three independent biological replicates were performed for qRT-PCR analysis with individual experiments performed in triplicate on RNA obtained from pooled gonads from 3 to 4 littermates and expression levels shown relative to Sdha (mean þSEM of at least three independent experiments; two-tailed, unpaired t-test; *pr0.05, **pr0.01,
***
pr0.001). (C) ISH on sagittal sections of 13.5 dpc mouse embryos confirmed the expression of Lgr4 in somatic cells of ovary and testis (arrowheads in left panels and middle panels), whereas no Lgr6 expression was detected in the developing gonads
(arrows in right panels). However, Lgr6 expression was detected in the hair follicles of the whiskers (red arrows in right panels) and the thymic primordium (arrow head in right panels). Scale bars, 1 mm (left and right panels) and 100 μm (middle panels).

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Fig. 5. EGFP, FOXL2 and NR2F2 mark different ovarian somatic cells. (A) Co-IF for FOXL2 (red) and EGFP (green) of 13.5 to 18.5 dpc XX Lgr5 À / þ mouse fetuses demonstrated that the expression of these two genes is mutually exclusively in the developing ovary. In the few cells (arrows in third panel) that show co-expression one of the factors is always expressed at very low levels. Ovaries are demarcated with dotted lines. The third panel shows higher magnification of the area marked with a rectangle in the second panel. Scale bars, 100 μm (first, second and last panel) and 30 μm (third panel). (B) Co-IF of NR2F2 (green, two left panels) with FOXL2 (red), or NR2F2 (red, two right panels) with EGFP (green), of 12.5 and 14.5 dpc XX Lgr5 À / þ mouse fetuses shows no overlap of expression. Ovaries are demarcated with dotted lines. Scale bars,
100 μm. (C) High magnifications of double-IF of 14.5 dpc XX Lgr5 À / þ mouse fetuses: first panel: EGFP (green) with FOXL2 (red); second panel: NR2F2 (green) with FOXL2
(red); third panel: EGFP (green) with NR2F2 (red). The last panel on the right shows triple-IF of all three factors (EGFP, green FOXL2, light blue; NR2F2, red), clearly demonstrating mutually exclusive expression. Scale bar, 30 μm.

testis cords (Kanai et al., 1991, 1992). Shortly after, steroidogenic fetal Leydig cells differentiate within the interstitium between testis cords (Svingen and Koopman, 2013). These morphological changes not only made it possible to distinguish between different testicular somatic cell precursors based on their cell morphology and position within the testis, but also to identify factors that could be used as exclusive markers to follow the differentiation and maturation of each cell type. Different somatic cell types in the fetal ovary have been classified into pre-granulosa cells marked by FOXL2, vasculature-associated somatic cells marked by MAFB and general somatic cells (Maatouk et al., 2012). In this study we extend these findings through the identification of Lgr5, which is specifically expressed by the second class of pregranulosa cells, and NR2F2, as a possible second marker for vasculature-associated somatic cells.

It is generally thought that the genital ridge contains at least three bipotential precursor cell lineages (Svingen and Koopman,
2013): (i) Precursors of the supporting cells that start to express
Sry and differentiate into Sertoli cells in the XY genital ridge, or express Foxl2 and differentiate into granulosa cells in the XX genital ridge; (ii) Steroidogenic precursor cells which differentiate into Leydig cells in a testis or theca cells in the ovary; and (iii) primordial germ cells that give rise to spermatogonia and oogonia in testes and ovaries, respectively. Our data combined with recent studies (Mork et al., 2012; Zheng et al., 2014a) now demonstrate that there are at least four precursor cell types in the fetal ovary, including two different populations of supporting cell precursors,
Foxl2 and Lgr5-positive cells, steroidogenic cell precursor and primordial germ cells. It is not known if a second population of supporting cell precursors exist in the testis and whether they

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demonstrate as Nr2f2-null mice die before 10.5 dpc, preventing the analysis of ovarian development in these mice (Pereira et al.,
1999). However, it is of significant interest that Nr2f2-heterozygous ovaries have a reduced ability to produce sex steroids
(Takamoto et al., 2005), supporting the hypothesis that this transcription factor is involved in theca cell function. In addition,
NR2F2 has been shown to play a role in Leydig cell differentiation, the steroidogenic lineage in the testis, and regulate Leydig cell steroidogenesis (Defalco et al., 2011; Qin et al., 2008; van den
Driesche et al., 2012), further corroborating the concept that in females NR2F2 is involved in the differentiation of the steroidogenic theca cells.
Lgr5 marks cortical granulosa cell precursors

Fig. 6. Triple-negative somatic cells disappear by 16.5 dpc. (A) Co-IF for NR2F2
(green) and PECAM1 (red) of 14.5 dpc XX wild-type ovary showed that NR2F2 is expressed in cells in close proximity to vascular endothelial cells. Ovaries are demarcated with dotted lines. The right panel shows higher magnification of the area marked with a rectangle in the left panel. Scale bar, 100 μm. (B) Co-IF for EGFP
(green), FOXL2 (light blue), NR2F2 (pink) and MVH (red) of 14.5 dpc (left panel) and
16.5 dpc (right panel) XX Lgr5 À / þ fetuses showed that at 14.5 dpc a number of ovarian somatic cells (arrow heads), while at 16.5 dpc only a few ovarian surface epithelium cells are triple negative. Ovaries are demarcated with dotted lines. Scale bars, 100 μm.

might contribute a distinct Sertoli cell population. One possibility comes from our work demonstrating that production of prostaglandin D2 by the founding population of Sertoli cells is able to recruit other somatic cells to express SOX9 (Wilhelm et al., 2005), potentially providing a second source of Sertoli cell precursors.
However, the location of these cells remains unknown and the number of cells recruited by this pathway is very small, so it is unlikely that these cells recruited by prostaglandin D2 represent the second supporting cell lineage, equivalent to the ones marked by Lgr5 in the developing ovary.
In addition to the Lgr5 population, we identified a population of ovarian cells marked by the expression of NR2F2, and possibly
MAFB. These cells could be either mesenchymal cells or may differentiate into theca cells. At present this is not possible to

There are two types of ovarian follicles in mammals (Zheng et al., 2014b). First, medullary follicles are collectively activated before puberty and contribute to puberty and early fertility up to about 5 weeks postnatally (Zheng et al., 2014a). Second, cortical follicles are activated throughout life and represent the definitive pool of follicles that determine the female reproductive lifespan
(Zheng et al., 2014a). These two groups of follicles depend on two distinct populations of pre-granulosa cells. Recent studies have shown that granulosa cells of the central follicles differentiate from supporting cell precursors that are FOXL2-positive in the fetal ovary (Mork et al., 2012). In contrast, the authors suggested that granulosa cells of the adult cortical follicle derive from cells in the coelomic epithelium (Mork et al., 2012). In this study we have demonstrated that a second population of supporting cell precursors that express Lgr5 exists in the cortical region of the fetal ovary. While at 4 weeks postnatally, activated medullary follicles of the first wave are still present (Zheng et al., 2014a), the fact that in the fetal ovary coelomic epithelial cells contribute to the first wave of granulosa cells until approximately 14.5 dpc (Mork et al.,
2012) and that lineage-traced granulosa cells were also observed after exposure to tamoxifen at 17.5 dpc (Fig. 7) strongly suggests that Lgr5-positive cells in the fetal ovary give rise to granulosa cells of the second wave of follicles, that represent the definite pool of follicles. We detected both LGR5 and FOXL2 in a few cells in the fetal ovary, however in each case the expression of one of the two factors was clearly dominant while the other was expressed at low levels. Based on both data presented here and previous observations (Mork et al., 2012) we posit that cells in and immediately below the ovarian surface epithelium express Lgr5. Through their proliferative action, these cells ingress into the ovary at which point they up-regulate Foxl2 expression. Subsequently, FOXL2 down-regulates Lgr5 expression and the cells differentiate into
FOXL2-positive, Lgr5-negative granulosa cells. FOXL2 has been shown to directly transcriptionally repress other genes in the developing gonads (Pisarska et al., 2004; Takasawa et al., 2014;
Uhlenhaut et al., 2009), however whether FOXL2 also directly inhibits Lgr5 expression in the fetal ovary is yet to be shown.
Lgr5 plays a role in germ cell differentiation and survival
LGR5 binds R-spondin proteins with high affinity and thereby enhances RSPO/WNT/β-catenin signaling (Carmon et al., 2011;
Chen et al., 2013; de Lau et al., 2011; Ruffner et al., 2012). The important roles played by RSPO1, WNT4 and β-catenin in mammalian gonad development and especially ovarian differentiation have been shown through the identification of mutations and deletions in human patients with disorders of sex development
(Biason-Lauber et al., 2004; Mandel et al., 2008; Parma et al.,
2006; Philibert et al., 2011), as well as gain- and loss-of-function analyses in mice (Chang et al., 2008; Chassot et al., 2008;

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Fig. 7. Lgr5-positive cells in the foetal ovary differentiate into cortical granulosa cells. Pregnant females from Lgr5 þ / þ or Lgr5 À / þ x R26LacZ matings were injected with tamoxifen at (A) 17.5 dpc or (B) 13.5 dpc and ovaries from 4-week-old offspring analyzed for β-galactosidase expression by (A) lacZ staining or (B) co-IF for β-galactosidase
(green, marked by white arrows in bottom panel) and the granulosa cell marker FOXL2 (red) demonstrating that Lgr5-positive cells at both stages give rise to cortical granulosa cells. Black arrows in (A) indicate lacZ-positive ovarian epithelial cells (middle panel) and higher magnification of cortical follicles (right panel). The area marked in
(B) by a rectangle is shown in higher magnification on the right.

Jeays-Ward et al., 2003; Kim et al., 2006; Maatouk et al., 2008;
Vainio et al., 1999). The null phenotypes of Wnt4 and Rspo1 are very similar, including their propensity to undergo partial sex reversal with ectopic endothelial cell migration and coelomic vessel formation, impaired migration of steroidogenic cells and impaired germ cell proliferation, survival and entry into meiosis
(Chassot et al., 2008; Jeays-Ward et al., 2003; Maatouk et al., 2013;
Tomizuka et al., 2008; Vainio et al., 1999). The effects of loss of
Wnt4 or Rspo1 on ovarian germ cells differ depending on the genetic background. While in Wnt4 À / À ovaries germ cells are lost through increased apoptosis (Vainio et al., 1999), proliferation is inhibited with or without an increased germ cell apoptosis in
Rspo1 À / À ovaries (Chassot et al., 2011; Tomizuka et al., 2008). In contrast, loss of Lgr5 in the fetal ovary led to a delay in germ cell differentiation. At 16.5 dpc no nuclear expression of the pluripotency marker OCT4 was detected. Higher magnification showed cytoplasmic staining. Cytoplasmic localization has been described for an OCT4 variant, OCT4B (Atlasi et al., 2008; Lee et al., 2006). However, the antibody we used (Santa Cruz, mouse monoclonal anti-OCT3/4
(C-10), sc-5279) should only detect the OCT4A isoform, suggesting that a more likely explanation is that the observed cytoplasmic staining is background due to the antibody used. We did not detect any CYP11A1-positive cells indicative of steroidogenic cell migration defect or the formation of a coelomic vessel in Lgr5 À /À ovaries (data not shown). We suggest that this different phenotype is due to other

genes that might contribute to, or replace, the activity of LGR5 by enhancing WNT/RSPO-signaling, while WNT4 and RSPO1 loss is not compensated for. In support of this view we showed that in addition to Lgr5, Lgr4 is also expressed in ovarian somatic cells providing a plausible mechanism for genetic compensation in this pathway.
Expression of Lgr4 was also observed in supporting cells using microarray analysis of cells sorted from embryonic gonads (Jameson et al., 2012), in accordance with our observations. Moreover, Lgr4 and
Lgr5 have been shown to functionally redundant in other systems (de
Lau et al., 2011; Kinzel et al., 2014), suggesting that these two genes also have overlapping roles in the developing ovary.
Taken together, our data demonstrate a direct role for Lgr5 in the development of the supporting cell lineage in the mammalian ovary and provide the first marker for the cortical granulosa cell precursors that establish the follicle reserve. In addition, we show that the fetal mouse ovary contains at least three different somatic cell types, including precursors for medullary and cortical granulosa cells and a third cell lineage, possibly representing pre-theca cells. These cell types are marked by the expression of Foxl2, Lgr5, and Nr2f2, respectively. Our findings provide important new insights into early lineage allocation and differentiation in the developing ovary. The identification of cell-type specific markers provides fundamental new tools for the tracking of these lineages to investigate their contribution to normal and pathological development in the mammalian ovary.

R.H. Rastetter et al. / Developmental Biology 394 (2014) 242–252

Author contributions
DW, MC, and RGR developed the concepts; RR, PB, JSP, AC, HC,
PW and DW performed experiments; and all authors were involved in the analysis of data as well as preparing and editing the manuscript prior to submission.

Acknowledgements
We thank Dr Andrew Pask for critical reading of the manuscript.
The authors acknowledge the facilities, scientific and technical assistance of Monash Micro Imaging, Monash University, Victoria,
Australia and the Australian Cancer Research Foundation Dynamic
Imaging Centre for Cancer Biology, University of Queensland, Brisbane, Australia. This work was supported by research grants from the
National Health and Medical Research Council of Australia (NHMRC grant number 631460 and a Fellowship to RGR), the Fondation ARC pour la Recherche sur le Cancer PJA 20131200236, and the Victorian
Government’s Operational Infrastructure Support Program. DW is a
Future Fellow of the ARC (FT110100327).

Appendix A. Supporting information
Supplementary data associated with this article can be found in the online version at http://dx.doi.org/10.1016/j.ydbio.2014.08.013.
References
Atlasi, Y., Mowla, S.J., Ziaee, S.A., Gokhale, P.J., Andrews, P.W., 2008. OCT4 spliced variants are differentially expressed in human pluripotent and nonpluripotent cells. Stem Cells 26, 3068–3074.
Barker, N., Huch, M., Kujala, P., van de Wetering, M., Snippert, H.J., van Es, J.H., Sato,
T., Stange, D.E., Begthel, H., van den Born, M., Danenberg, E., van den Brink, S.,
Korving, J., Abo, A., Peters, P.J., Wright, N., Poulsom, R., Clevers, H., 2010. Lgr5
( þve) stem cells drive self-renewal in the stomach and build long-lived gastric units in vitro. Cell Stem Cell 6, 25–36.
Barker, N., van Es, J.H., Kuipers, J., Kujala, P., van den Born, M., Cozijnsen, M.,
Haegebarth, A., Korving, J., Begthel, H., Peters, P.J., Clevers, H., 2007. Identification of stem cells in small intestine and colon by marker gene Lgr5. Nature 449,
1003–1007.
Bendel-Stenzel, M., Anderson, R., Heasman, J., Wylie, C., 1998. The origin and migration of primordial germ cells in the mouse. Semin. Cell Dev. Biol. 9,
393–400.
Biason-Lauber, A., Konrad, D., Navratil, F., Schoenle, E.J., 2004. A WNT4 mutation associated with Mullerian-duct regression and virilization in a 46,XX woman.
N. Engl. J. Med. 351, 792–798.
Bullejos, M., Koopman, P., 2004. Germ cells enter meiosis in a rostro-caudal wave during development of the mouse ovary. Mol. Reprod. Dev. 68, 422–428.
Carmon, K.S., Gong, X., Lin, Q., Thomas, A., Liu, Q., 2011. R-spondins function as ligands of the orphan receptors LGR4 and LGR5 to regulate Wnt/beta-catenin signaling. Proc. Nat. Acad. Sci. U.S.A. 108, 11452–11457.
Chang, H., Gao, F., Guillou, F., Taketo, M.M., Huff, V., Behringer, R.R., 2008. Wt1 negatively regulates beta-catenin signaling during testis development. Development 135, 1875–1885.
Chassot, A.A., Gregoire, E.P., Lavery, R., Taketo, M.M., de Rooij, D.G., Adams, I.R.,
Chaboissier, M.C, 2011. RSPO1/beta-catenin signaling pathway regulates oogonia differentiation and entry into meiosis in the mouse fetal ovary. PLoS One 6, e25641. Chassot, A.A., Ranc, F., Gregoire, E.P., Roepers-Gajadien, H.L., Taketo, M.M., Camerino, G., de Rooij, D.G., Schedl, A., Chaboissier, M.C., 2008. Activation of betacatenin signaling by Rspo1 controls differentiation of the mammalian ovary.
Hum. Mol. Genet. 17, 1264–1277.
Chen, H., Palmer, J.S., Thiagarajan, R.D., Dinger, M.E., Lesieur, E., Chiu, H., Schulz, A.,
Spiller, C., Grimmond, S.M., Little, M.H., Koopman, P., Wilhelm, D., 2012.
Identification of novel markers of mouse fetal ovary development. PLoS One
7, e41683.
Chen, P.H., Chen, X., Lin, Z., Fang, D., He, X., 2013. The structural basis of R-spondin recognition by LGR5 and RNF43. Genes Dev. 27, 1345–1350. de Lau, W., Barker, N., Low, T.Y., Koo, B.K., Li, V.S., Teunissen, H., Kujala, P.,
Haegebarth, A., Peters, P.J., van de Wetering, M., Stange, D.E., van Es, J.E.,
Guardavaccaro, D., Schasfoort, R.B., Mohri, Y., Nishimori, K., Mohammed, S.,
Heck, A.J., Clevers, H., 2011. Lgr5 homologues associate with Wnt receptors and mediate R-spondin signalling. Nature 476, 293–297.
Defalco, T., Takahashi, S., Capel, B., 2011. Two distinct origins for Leydig cell progenitors in the fetal testis. Dev. Biol. 352, 14–26.

251

Flesken-Nikitin, A., Hwang, C.I., Cheng, C.Y., Michurina, T.V., Enikolopov, G., Nikitin,
A.Y., 2013. Ovarian surface epithelium at the junction area contains a cancerprone stem cell niche. Nature 495, 241–245.
Hacker, A., Capel, B., Goodfellow, P., Lovell-Badge, R., 1995. Expression of Sry, the mouse sex determining gene. Development 121, 1603–1614.
Hermey, G., Methner, A., Schaller, H.C., Hermans-Borgmeyer, I., 1999. Identification of a novel seven-transmembrane receptor with homology to glycoprotein receptors and its expression in the adult and developing mouse. Biochem.
Biophys. Res. Commun. 254, 273–279.
Hsu, S.Y., Kudo, M., Chen, T., Nakabayashi, K., Bhalla, A., van der Spek, P.J., van Duin,
M., Hsueh, A.J., 2000. The three subfamilies of leucine-rich repeat-containing G protein-coupled receptors (LGR): identification of LGR6 and LGR7 and the signaling mechanism for LGR7. Mol. Endocrinol. 14, 1257–1271.
Hummitzsch, K., Irving-Rodgers, H.F., Hatzirodos, N., Bonner, W., Sabatier, L.,
Reinhardt, D.P., Sado, Y., Ninomiya, Y., Wilhelm, D., Rodgers, R.J., 2013. A new model of development of the mammalian ovary and follicles. PLoS One 8, e55578. Jaks, V., Barker, N., Kasper, M., van Es, J.H., Snippert, H.J., Clevers, H., Toftgard, R.,
2008. Lgr5 marks cycling, yet long-lived, hair follicle stem cells. Nat. Genet. 40,
1291–1299.
Jameson, S.A., Natarajan, A., Cool, J., DeFalco, T., Maatouk, D.M., Mork, L., Munger, S.
C., Capel, B., 2012. Temporal transcriptional profiling of somatic and germ cells reveals biased lineage priming of sexual fate in the fetal mouse gonad. PLoS
Genet. 8, e1002575.
Jeays-Ward, K., Hoyle, C., Brennan, J., Dandonneau, M., Alldus, G., Capel, B., Swain,
A., 2003. Endothelial and steroidogenic cell migration are regulated by WNT4 in the developing mammalian gonad. Development 130, 3663–3670.
Jho, E.H., Zhang, T., Domon, C., Joo, C.K., Freund, J.N., Costantini, F., 2002. Wnt/betacatenin/Tcf signaling induces the transcription of Axin2, a negative regulator of the signaling pathway. Mol. Cell. Biol. 22, 1172–1183.
Kanai, Y., Hayashi, Y., Kawakami, H., Takata, K., Kurohmaru, M., Hirano, H., Nishida,
T., 1991. Effect of tunicamycin, an inhibitor of protein glycosylation, on testicular cord organization in fetal mouse gonadal explants in vitro. Anat.
Rec. 230, 199–208.
Kanai, Y., Kawakami, H., Takata, K., Kurohmaru, M., Hirano, H., Hayashi, Y., 1992.
Involvement of actin filaments in mouse testicular cord organization in vivo and in vitro. Biol. Reprod. 46, 233–245.
Kim, Y., Kobayashi, A., Sekido, R., DiNapoli, L., Brennan, J., Chaboissier, M.C., Poulat, F.,
Behringer, R.R., Lovell-Badge, R., Capel, B., 2006. Fgf9 and Wnt4 act as antagonistic signals to regulate mammalian sex determination. PLoS Biol. 4, e187.
Kinzel, B., Pikiolek, M., Orsini, V., Sprunger, J., Isken, A., Zietzling, S., Desplanches, M.,
Dubost, V., Breustedt, D., Valdez, R., Liu, D., Theil, D., Muller, M., Dietrich, B.,
Bouwmeester, T., Ruffner, H., Tchorz, J.S., 2014. Functional roles of Lgr4 and Lgr5 in embryonic gut, kidney and skin development in mice. Dev. Biol. 390, 181–190.
Lee, J., Kim, H.K., Rho, J.Y., Han, Y.M., Kim, J., 2006. The human OCT-4 isoforms differ in their ability to confer self-renewal. J. Biol. Chem. 281, 33554–33565.
Maatouk, D.M., DiNapoli, L., Alvers, A., Parker, K.L., Taketo, M.M., Capel, B., 2008.
Stabilization of beta-catenin in XY gonads causes male-to-female sex-reversal.
Hum. Mol. Genet. 17, 2949–2955.
Maatouk, D.M., Mork, L., Chassot, A.A., Chaboissier, M.C., Capel, B., 2013. Disruption of mitotic arrest precedes precocious differentiation and transdifferentiation of pregranulosa cells in the perinatal Wnt4 mutant ovary. Dev. Biol. 383, 295–306.
Maatouk, D.M., Mork, L., Hinson, A., Kobayashi, A., McMahon, A.P., Capel, B., 2012.
Germ cells are not required to establish the female pathway in mouse fetal gonads. PLoS One 7, e47238.
Mandel, H., Shemer, R., Borochowitz, Z.U., Okopnik, M., Knopf, C., Indelman, M.,
Drugan, A., Tiosano, D., Gershoni-Baruch, R., Choder, M., Sprecher, E., 2008.
SERKAL syndrome: an autosomal-recessive disorder caused by a loss-offunction mutation in WNT4. Am. J. Hum. Genet. 82, 39–47.
McFarlane, L., Truong, V., Palmer, J.S., Wilhelm, D., 2013. Novel PCR assay for determining the genetic sex of mice. Sex Dev. 7, 207–211.
Menke, D.B., Koubova, J., Page, D.C., 2003. Sexual differentiation of germ cells in XX mouse gonads occurs in an anterior-to-posterior wave. Dev. Biol. 262, 303–312.
Monget, P., Bobe, J., Gougeon, A., Fabre, S., Monniaux, D., Dalbies-Tran, R., 2012. The ovarian reserve in mammals: a functional and evolutionary perspective. Mol.
Cell Endocrinol. 356, 2–12.
Morita, H., Mazerbourg, S., Bouley, D.M., Luo, C.W., Kawamura, K., Kuwabara, Y.,
Baribault, H., Tian, H., Hsueh, A.J., 2004. Neonatal lethality of LGR5 null mice is associated with ankyloglossia and gastrointestinal distension. Mol. Cell. Biol.
24, 9736–9743.
Mork, L., Maatouk, D.M., McMahon, J.A., Guo, J.J., Zhang, P., McMahon, A.P., Capel, B.,
2012. Temporal differences in granulosa cell specification in the ovary reflect distinct follicle fates in mice. Biol. Reprod. 86, 37.
Nef, S., Schaad, O., Stallings, N.R., Cederroth, C.R., Pitetti, J.L., Schaer, G., Malki, S.,
Dubois-Dauphin, M., Boizet-Bonhoure, B., Descombes, P., Parker, K.L., Vassalli, J.
D., 2005. Gene expression during sex determination reveals a robust female genetic program at the onset of ovarian development. Dev. Biol. 287, 361–377.
Ng, A., Tan, S., Singh, G., Rizk, P., Swathi, Y., Tan, T.Z., Huang, R.Y., Leushacke, M.,
Barker, N., 2014. Lgr5 marks stem/progenitor cells in ovary and tubal epithelia.
Nat. Cell Biol. 16, 745–757.
Ottolenghi, C., Omari, S., Garcia-Ortiz, J.E., Uda, M., Crisponi, L., Forabosco, A., Pilia,
G., Schlessinger, D., 2005. Foxl2 is required for commitment to ovary differentiation. Hum. Mol. Genet. 14, 2053–2062.
Parma, P., Radi, O., Vidal, V., Chaboissier, M.C., Dellambra, E., Valentini, S., Guerra, L.,
Schedl, A., Camerino, G., 2006. R-spondin1 is essential in sex determination, skin differentiation and malignancy. Nat. Genet. 38, 1304–1309.

252

R.H. Rastetter et al. / Developmental Biology 394 (2014) 242–252

Pereira, F.A., Qiu, Y., Zhou, G., Tsai, M.J., Tsai, S.Y., 1999. The orphan nuclear receptor
COUP-TFII is required for angiogenesis and heart development. Genes Dev. 13,
1037–1049.
Philibert, P., Biason-Lauber, A., Gueorguieva, I., Stuckens, C., Pienkowski, C., LebonLabich, B., Paris, F., Sultan, C., 2011. Molecular analysis of WNT4 gene in four adolescent girls with mullerian duct abnormality and hyperandrogenism
(atypical Mayer–Rokitansky–Kuster–Hauser syndrome). Fertil. Steril. 95,
2683–2686.
Pisarska, M.D., Bae, J., Klein, C., Hsueh, A.J., 2004. Forkhead l2 is expressed in the ovary and represses the promoter activity of the steroidogenic acute regulatory gene. Endocrinol 145, 3424–3433.
Qin, J., Tsai, M.J., Tsai, S.Y., 2008. Essential roles of COUP-TFII in Leydig cell differentiation and male fertility. PLoS One 3, e3285.
Ruffner, H., Sprunger, J., Charlat, O., Leighton-Davies, J., Grosshans, B., Salathe, A.,
Zietzling, S., Beck, V., Therier, M., Isken, A., Xie, Y., Zhang, Y., Hao, H., Shi, X., Liu,
D., Song, Q., Clay, I., Hintzen, G., Tchorz, J., Bouchez, L.C., Michaud, G., Finan, P.,
Myer, V.E., Bouwmeester, T., Porter, J., Hild, M., Bassilana, F., Parker, C.N., Cong,
F., 2012. R-Spondin potentiates Wnt/beta-catenin signaling through orphan receptors LGR4 and LGR5. PLoS One 7, e40976.
Sato, Y., Suzuki, T., Hidaka, K., Sato, H., Ito, K., Ito, S., Sasano, H., 2003. Immunolocalization of nuclear transcription factors, DAX-1 and COUP-TF II, in the normal human ovary: correlation with adrenal 4 binding protein/steroidogenic factor-1 immunolocalization during the menstrual cycle. J. Clin. Endocrinol. Metab. 88,
3415–3420.
Sawyer, H.R., Smith, P., Heath, D.A., Juengel, J.L., Wakefield, S.J., McNatty, K.P., 2002.
Formation of ovarian follicles during fetal development in sheep. Biol. Reprod.
66, 1134–1150.
Schmidt, D., Ovitt, C.E., Anlag, K., Fehsenfeld, S., Gredsted, L., Treier, A.C., Treier, M.,
2004. The murine winged-helix transcription factor Foxl2 is required for granulosa cell differentiation and ovary maintenance. Development 131,
933–942.
Snippert, H.J., Haegebarth, A., Kasper, M., Jaks, V., van Es, J.H., Barker, N., van de
Wetering, M., van den Born, M., Begthel, H., Vries, R.G., Stange, D.E., Toftgard, R.,
Clevers, H, 2010. Lgr6 marks stem cells in the hair follicle that generate all cell lineages of the skin. Science 327, 1385–1389.
Soriano, P., 1999. Generalized lacZ expression with the ROSA26 Cre reporter strain.
Nat. Genet. 21, 70–71.
Svingen, T., Koopman, P., 2013. Building the mammalian testis: origins, differentiation, and assembly of the component cell populations. Genes Dev. 27,
2409–2426.
Svingen, T., Spiller, C.M., Kashimada, K., Harley, V.R., Koopman, P., 2009. Identification of suitable normalizing genes for quantitative real-time RT-PCR analysis of gene expression in fetal mouse gonads. Sex Dev. 3, 194–204.
Takamoto, N., Kurihara, I., Lee, K., Demayo, F.J., Tsai, M.J., Tsai, S.Y., 2005.
Haploinsufficiency of chicken ovalbumin upstream promoter transcription factor II in female reproduction. Mol. Endocrinol. 19, 2299–2308.
Takasawa, K., Kashimada, K., Pelosi, E., Takagi, M., Morio, T., Asahara, H., Schlessinger, D., Mizutani, S., Koopman, P., 2014. FOXL2 transcriptionally represses Sf1 expression by antagonizing WT1 during ovarian development in mice. FASEB J.
28, 2020–2028.

Tomizuka, K., Horikoshi, K., Kitada, R., Sugawara, Y., Iba, Y., Kojima, A., Yoshitome, A.,
Yamawaki, K., Amagai, M., Inoue, A., Oshima, T., Kakitani, M., 2008. R-spondin1 plays an essential role in ovarian development through positively regulating
Wnt-4 signaling. Hum. Mol. Genet. 17, 1278–1291.
Toyooka, Y., Tsunekawa, N., Takahashi, Y., Matsui, Y., Satoh, M., Noce, T., 2000.
Expression and intracellular localization of mouse Vasa-homologue protein during germ cell development. Mech. Dev. 93, 139–149.
Uhlenhaut, N.H., Jakob, S., Anlag, K., Eisenberger, T., Sekido, R., Kress, J., Treier, A.C.,
Klugmann, C., Klasen, C., Holter, N.I., Riethmacher, D., Schutz, G., Cooney, A.J.,
Lovell-Badge, R., Treier, M., 2009. Somatic sex reprogramming of adult ovaries to testes by FOXL2 ablation. Cell 139, 1130–1142.
Vainio, S., Heikkila, M., Kispert, A., Chin, N., McMahon, A.P., 1999. Female development in mammals is regulated by Wnt-4 signalling. Nature 397, 405–409. van den Bergen, J.A., Miles, D.C., Sinclair, A.H., Western, P.S., 2009. Normalizing gene expression levels in mouse fetal germ cells. Biol. Reprod. 81, 362–370. van den Driesche, S., Walker, M., McKinnell, C., Scott, H.M., Eddie, S.L., Mitchell, R.T.,
Seckl, J.R., Drake, A.J., Smith, L.B., Anderson, R.A., Sharpe, R.M., 2012. Proposed role for COUP-TFII in regulating fetal Leydig cell steroidogenesis, perturbation of which leads to masculinization disorders in rodents. PLoS One 7, e37064.
Van der Flier, L.G., Sabates-Bellver, J., Oving, I., Haegebarth, A., De Palo, M., Anti, M.,
Van Gijn, M.E., Suijkerbuijk, S., Van de Wetering, M., Marra, G., Clevers, H, 2007.
The intestinal Wnt/TCF signature. Gastroenterology 132, 628–632.
Warr, N., Greenfield, A., 2012. The molecular and cellular basis of gonadal sex reversal in mice and humans. Wiley Interdiscip. Rev. Dev. Biol. 1, 559–577.
Wilhelm, D., Englert, C., 2002. The Wilms tumor suppressor WT1 regulates early gonad development by activation of Sf1. Genes Dev. 16, 1839–1851.
Wilhelm, D., Hiramatsu, R., Mizusaki, H., Widjaja, L., Combes, A.N., Kanai, Y.,
Koopman, P., 2007. SOX9 regulates prostaglandin D synthase gene transcription in vivo to ensure testis development. J. Biol. Chem. 282, 10553–10560.
Wilhelm, D., Martinson, F., Bradford, S., Wilson, M.J., Combes, A.N., Beverdam, A.,
Bowles, J., Mizusaki, H., Koopman, P., 2005. Sertoli cell differentiation is induced both cell-autonomously and through prostaglandin signaling during mammalian sex determination. Dev. Biol. 287, 111–124.
Wilhelm, D., Washburn, L.L., Truong, V., Fellous, M., Eicher, E.M., Koopman, P., 2009.
Antagonism of the testis- and ovary-determining pathways during ovotestis development in mice. Mech. Dev. 126, 324–336.
Wilhelm, D., Yang, J.X., Thomas, P., 2013. Mammalian sex determination and gonad development. Curr. Top. Dev. Biol. 106, 89–121.
Yao, H.H., Matzuk, M.M., Jorgez, C.J., Menke, D.B., Page, D.C., Swain, A., Capel, B.,
2004. Follistatin operates downstream of Wnt4 in mammalian ovary organogenesis. Dev. Dyn. 230, 210–215.
Young, J.M., McNeilly, A.S., 2010. Theca: the forgotten cell of the ovarian follicle.
Reprod 140, 489–504.
Zheng, W., Zhang, H., Gorre, N., Risal, S., Shen, Y., Liu, K., 2014a. Two classes of ovarian primordial follicles exhibit distinct developmental dynamics and physiological functions. Hum. Mol. Genet. 23, 920–928.
Zheng, W., Zhang, H., Liu, K., 2014b. The two classes of primordial follicles in the mouse ovary: their development, physiological functions and implications for future research. Mol. Hum. Reprod. 20, 286–292.

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