Literature DB >> 26476147

The imprinted Phlda2 gene modulates a major endocrine compartment of the placenta to regulate placental demands for maternal resources.

S J Tunster1, H D J Creeth1, R M John2.   

Abstract

Imprinted genes, which are expressed from a single parental allele in response to epigenetic marks first established in the germline, function in a myriad of processes to regulate mammalian development. Recent work suggests that imprinted genes may regulate the signalling function of the placenta by modulating the size of the endocrine compartment. Here we provide in vivo evidence that this hypothesis is well founded. Elevated expression of the imprinted Pleckstrin homology-like domain, family a, member 2 (Phlda2) gene drives a reduction of the spongiotrophoblast endocrine compartment, diminished placental glycogen and asymmetric foetal growth restriction. Using both loss-of-function and gain-in-expression mouse models, here we further show that Phlda2 exclusively modulates the spongiotrophoblast compartment of the placenta without significantly altering the composition of the trophoblast giant cell endocrine lineages that share a common progenitor with this lineage. Additionally, we show that Phlda2 loss-of-function placentae contain nearly three times more placental glycogen than non-transgenic placentae. Remarkably, relative to a fully wild type scenario, wild type placentae also accumulate excessive glycogen. While loss-of-function of Phlda2 increased both placental weight and placental glycogen, the weight of both mutant and non-transgenic fetuses was lower than that found in a fully wild type scenario indicating that excessive glycogen accumulation comes at the cost of foetal growth. This work firstly highlights a novel signalling function for the spongiotrophoblast in stimulating the global accumulation of placental glycogen. Furthermore, this work suggests that Phlda2 manipulates the placenta's demands for maternal resources, a process that must be tightly regulated by epigenetic marks to ensure optimal foetal growth. Crown
Copyright © 2015. Published by Elsevier Inc. All rights reserved.

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Keywords:  Epigenetics; Hormones; Imprinting; Phlda2; Placenta

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Year:  2015        PMID: 26476147      PMCID: PMC4684229          DOI: 10.1016/j.ydbio.2015.10.015

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


Introduction

Genomic imprinting is an epigenetic phenomenon which drives the preferential expression of certain genes from one parental allele (John and Surani, 1996). The finding that some paternally silenced genes restrain foetal growth while some maternally silenced genes are growth promoting led to the suggestion that imprinting may have evolved in response to the different energetic contributions that male and female mammals make to their offspring (Moore and Haig, 1991) and the effectively antagonistic selective pressure acting on the mother–offspring relationship (Moore, 2011). However, another conflict exists in mammals because maternal resources are utilised by both the growing foetus and the developing extra-embryonic tissues. In some mammals these supporting tissues can consume more than half the maternal resources allocated to a pregnancy (Fowden, 1997, Carter, 2000) introducing the potential for competition between their energetic requirements and that of the growing foetus. In mice, a significant number of imprinted genes functionally converge to regulate placental growth and development (Tunster et al., 2013). The mature mouse placenta supports foetal growth from approximately embryonic day (E) 9.5 until birth and is organised into the histologically distinct labyrinth zone, junctional zone and maternal decidua interspersed with trophoblast giant cells (TGCs) lining the maternal tissues and vasculature at specific sites (Rai and Cross, 2014). While the function of the labyrinth in placental transport is well established, the function of the spongiotrophoblast and the glycogen cell lineages, which reside within the junctional zone, has yet to be fully determined experimentally. Placental glycogen, which accumulates in the glycogen cells of the junctional zone from mid-gestation, may provide a store of easily mobilisable energy late in gestation to support the final stages of foetal growth (Coan et al., 2006) supported by numerous mouse models in which limited glycogen stores are associated with foetal growth restriction (Lefebvre, 2012). The function of the spongiotrophoblast lineage is less well understood but several placental lactogens (Prls) and pregnancy-specific glycoproteins (Psgs) are expressed from this lineage some of which have been shown to act on the mother to induce the physiological changes required for a successful pregnancy (Samaan et al., 1968, Bhattacharyya et al., 2002, Muller et al., 1999, Kammerer and Zimmermann, 2010, Wu et al., 2008). While this lineage is required for foetal viability (Guillemot et al., 1994, Ono et al., 2006), fetuses can survive to term with very little spongiotrophoblast (Oh-McGinnis et al., 2011). A reduced spongiotrophoblast has been linked to foetal growth restriction in several studies (Oh-McGinnis et al., 2011, Hitz et al., 2005, Zheng-Fischhofer et al., 2007, Withington et al., 2006, Tunster et al., 2010) while an expanded spongiotrophoblast may drive delayed parturition associated with foetal and maternal death (Denda et al., 2011). Loss of function of several maternally expressed imprinted genes results in an expansion of the spongiotrophoblast lineage (John and Hemberger, 2012), most recently Sirh7/Ldoc1 (Naruse et al., 2014), suggesting that the paternal genome has selectively silenced genes that limit spongiotrophoblast-specific functions. However, while there are a number of mouse mutants in which alterations in the spongiotrophoblast lineage have been reported, these defects commonly occur alongside alterations in additional placental lineages. In particular, the glycogen cell lineage and four of the six distinct TGC lineages which share a common progenitor with the spongiotrophoblast (Rai and Cross, 2014, Hu and Cross, 2010, Simmons et al., 2007, Gasperowicz et al., 2013) confounding their functional assessment. Pleckstrin homology-like domain family A member 2 (Phlda2) is a maternally expressed gene that maps to the imprinted domain on mouse distal chromosome 7, which encodes a PH domain-only protein (Frank et al., 1999, Qian et al., 1997). Prior to the formation of the mature mouse placenta, Phlda2 is expressed most strongly in the ectoplacental cone and the visceral endoderm of the yolk sac (Frank et al., 1999, Dunwoodie and Beddington, 2002, Takao et al., 2012). The ectoplacental cone contains the trophoblast specific protein alpha (Tpbpa)-positive progenitors that give rise to the spongiotrophoblast, the glycogen cells and four of the six TGC subtypes of the mature placenta (Rai and Cross, 2014, Simmons et al., 2007, Gasperowicz et al., 2013, Simmons et al., 2008). Loss-of-function of Phlda2 results in an enlarged placenta with an expanded junctional zone and more placental glycogen but without foetal overgrowth (Frank et al., 2002). Elevated expression, at two-fold the endogenous level, results in placental stunting, a loss of the spongiotrophoblast lineage and reduced placental glycogen accumulation but without an alteration in the representation of the glycogen cell lineage or the parietal trophoblast giant cells which line the maternal decidua (Tunster et al., 2010, Salas et al., 2004). Additionally, elevated Phlda2 drives a late, asymmetric foetal growth restriction (Tunster et al., 2014). Taken together, these data suggested that Phlda2 acts indirectly to restrain foetal growth by limiting the expansion of the spongiotrophoblast lineage, which is required to stimulate glycogen accumulation. However, the effects of elevated Phlda2 gene dosage on all the TGCs lineages has not been reported. Moreover, a characterisation of the placental lineages in the context of loss-of-function has not been performed. To further investigate the role of Phlda2 in regulating the placental endocrine lineages, glycogen accumulation and foetal growth, we performed an examination of the placental lineages in the different Phlda2 gene dosage mouse models and biochemically quantified placental glycogen at different stages of development in response to loss-of-function of Phlda2. Remarkably, in addition to the anticipated over accumulation of placental glycogen in response to loss-of-function of Phlda2, we noted a similar phenotypes in non-transgenic placenta sharing the uterine environment. Rather than supporting enhanced foetal growth, these stores came to the detriment of foetal growth identifying a novel role for Phlda2 in regulating maternal resource allocation between the placenta and the foetus.

Materials and methods

Mouse strains and genotyping

Animal studies and breeding were approved by the Universities of Cardiff Ethical Committee and performed under a UK Home Office project license (RMJ). All mice were housed under standard conditions throughout the study on a 12 h light–dark cycle with lights coming on at 06.00 h with a temperature range of 21 °C±2 with free access to water (tap water) and standard chow. The Phlda2 targeted allele (Frank et al., 2002) was crossed into the 129S2/SvHsd (Harlan, 129) strain background for +8 generations. The single copy Phlda2 transgenic line Phlda2 (Tunster et al., 2014) was maintained on the 129 background by paternal transmission. Phlda2 deficient fetuses were generated by crossing Phlda2 females with wild type males. Phlda2 females were crossed with Phlda2 males to generate four genotypes: Phlda2 (non-transgenic; 1X), Phlda2 (maternal KO; 0X), Phlda2 (single copy Phlda2 transgene; 2X) and Phlda2 (single copy transgene plus maternal KO; 1X). 129 wild type colonies were maintained alongside the transgenic colonies. For recipient transfer experiments, 2-cell embryos were surgically transferred into E0.5 wild type 129 recipients mated with vasectomised males.

Quantitative RNA analysis

RNA was extracted from whole placenta following careful removal of membranes and umbilicus. Quantitative PCR of reverse transcribed RNA (RT-qPCR) was performed and analysed as described (Tunster et al., 2010, Schmittgen and Livak, 2008). RNA was hybridised to Affymetrix Mouse Gene 2.0 ST chips. Data was analysed essentially as described (Zhang et al., 2009) and using Partek Genomic suite. Genes significantly up in Phlda2) (0X) and significantly down in Phlda2 (2X) E16.5 whole placenta were tested for enrichment of gene ontology molecular function and biological process using the Database for Annotation, Visualisation and Integrated Discovery (DAVID). Microarray data available in GEO repository accession *******.

In situ hybridisation and histological analyses

Placentas were fixed overnight in phosphate-buffered 4% paraformaldehyde, paraffin-embedded and 6 μm sections taken through the midline. Riboprobe preparation and in situ hybridisation were performed as previously described (Tunster et al., 2010, Tunster et al., 2012).

Weighing studies and biochemical determination of placental glycogen concentration

Foetal and placental wet weights were taken at the stated time points after a discernable plug and normalised. Genotyping data was obtained from yolk sac DNA as previously described (Frank et al., 2002, John et al., 2001). Glycogen was extracted from whole placenta, and resuspended in 1 ml of H2O and assayed according to the method of Lo et al. (1970) at a dilution of 1 in 2.

Statistical analyses

Statistical significance (probability values) was determined using the Student's t-Test (two tailed distribution and two sample unequal variance) for comparisons between knockout and control littermates. Comparisons with the fully wild type scenario were undertaken using ANOVA with Bonferroni correction.

Results

Phlda2 supresses the expansion of the spongiotrophoblast without altering the representation of the TGC lineages

A characterisation of placental lineages in response to loss of Phlda2 function was undertaken after breeding the original line carrying a targeted deletion of Phlda2 onto a 129S2/SvHsd (129) genetic background. Phlda2 (maternal KO; 0X) placenta expressed Tpbpa, a gene expressed by both the spongiotrophoblast and the glycogen cell lineage (Lescisin et al., 1988), at 2.20-fold (±0.26; p=3.77×10−4) the normal level (Fig. 1A, and Table S1). Prl8a8, a gene expressed exclusively in spongiotrophoblast cells (Simmons et al., 2008), was elevated by 2.10-fold (±0.15; p=8.78±10−5) and FMS-like tyrosine kinase 1 (Flt1), a marker of the junctional zone (Breier et al., 1995) was elevated by 2.31-fold (±0.51; p=0.00551). Expression of glycogen cell markers (Gjb3/Cx31 and Pcdh12) and traditional markers of the labyrinth was comparable to wild type (Fig. 1A). These data were reciprocal to our findings in the gain-in-expression Phlda2 model (Tunster et al., 2010, Tunster et al., 2014) confirming the inverse relationship between Phlda2 gene dosage and the spongiotrophoblast but not the glycogen cell lineage. Some markers of the TGC lineages, Tle3 and Ctsq, were expressed normally whereas Prl2c (Plf) and Prl3b1, which are expressed in both the spongiotrophoblast and TGCs, were elevated in response to loss-of-function of Phlda2 (Fig. 1A) suggesting that some TGC lineages may also be altered in this model. To further refine the analysis, four placental genotypes were generated from crosses between Phlda2− females and males carrying a single copy of a transgene spanning the Phlda2 locus: Phlda2 (non-transgenic; 1X), Phlda2 (maternal KO; 0X), Phlda2 (single copy Phlda2 transgene; 2X) and Phlda2 (single copy transgene plus maternal KO; 1X). In situ hybridisation performed with Prl3d, an exclusive marker of the parietal TGC lineage at E10.5 (Simmons et al., 2008), excluded any gross alterations in this lineage (Fig. 1B). Hybridisation with Tpbpa and Prl8a8 at E14.5 further highlighted the inverse relationship between Phlda2 gene dosage and the spongiotrophoblast with an expansion of this lineages occurring in response to the decreasing expression of Phlda2. Hybridisation with Prl2b1 and Prl2c, which identify the canal, sinusoidal and spiral artery TGCs (Simmons et al., 2007), was similar irrespective of Phlda2 gene dosage (Fig. 1C) indicating that these lineages were relatively unaffected by the loss-of-function of Phlda2. These data identified Phlda2 as a gene that acts exclusively to constrain the expansion of the spongiotrophoblast lineage without significantly altering the cellular composition of other trophoblast lineages which share a common progenitor.
Fig. 1

Phlda2 restrains the expansion of the spongiotrophoblast lineage without significantly altering other trophoblast cell lineages. A. RT-qPCR analysis of placental lineage markers mRNA levels between E14.5 Phlda2(non-transgenic; 1X) and Phlda2(0X) placentae from littermates examined on the 129 genetic background. B. In situ hybridisation with Prl3d (Pl1) of midline sections from E10.5 Phlda2(1X), Phlda2−(0X), Phlda2(2X) and Phlda2 (1X) 129 placenta. C. In situ hybridisation of midline sections E14.5 placenta with Tpbpa, Prl8a8, Prl3b1 (Pl2) and Prl2c (Plf) (scale bar=200 μm). Prl2c also shown at a higher magnification illustrating similar staining of the canal and the spiral artery TGC (scale bar=100 μm). For the RT-qPCR analysis, N=4 placenta per genotype (2 vs 2 from 2 independent litters); error bars represent SEM. Statistical significance calculated using t-test. NSP>0.05, *P<0.05, **P<0.01, and ***P<0.005.

Phlda2 regulates the expression of several placental hormones

The spongiotrophoblast expresses a number of Prls (Simmons et al., 2008), genes that encode placental lactogens that act on the mother during pregnancy to induce changes required for a successful pregnancy (John, 2013). Several Prl members were elevated in the Phlda2 (maternal KO; 0X) placenta and reduced in the Phlda2 (2X) placenta (Fig. 2A,Table S1). The spongiotrophoblast is also a major source of pregnancy specific glycoproteins (Psgs), another large gene family important for pregnancy (McLellan et al., 2005). RT-qPCR analysis of the most abundantly expressed Psgs during mid gestation, Psg17, Psg18, Psg19 and Psg21 (Fig. 2B), and in situ hybridisation with Psg17 (Fig. 2C) revealed a reciprocal relationship between Phlda2 expression and the Psgs. In situ hybridisation (Figs. 1B, C and 2C) and RT-qPCR analyses (Table S1) on double transgenic placenta carrying both the transgene and the maternally inherited targeted Phlda2 allele (1X) formally assigned these changes to Phlda2.
Fig. 2

Phlda2 indirectly suppresses the expression of key placental hormones. A. RT-qPCR comparison of Prls at E14.5 between Phlda2(1X), Phlda2(0X), Phlda2(2X) and Phlda2(1X) 129 placentae. B. RT-qPCR comparison of Psgs at E14.5. C. In situ hybridisation of midline sections E14.5 placentae with Psg17 (scale bar=200 μm). For the RT-qPCR analysis, N=4 placenta per genotype (2 vs 2 from 2 independent litters); error bars represent SEM. Statistical significance calculated using t-test. NSP>0.05, *P<0.05, **P<0.01, and ***P<0.005.

A more objective analysis of gene expression changes was performed using an Affymetrix mouse microarray to profile gene expression on E16.5 Phlda2 (1X), Phlda2 (0X) and Phlda2 (2X) placenta (N=3–4 of each genotype, two independent litters for each genotype). Data was initially analysed at the genome wide level using a Bioconductor package Limma (Linear Model for Microarray data Analysis) written in R statistical software to identify differentially expressed genes between all pair-wise comparisons of the groups (Fig. 3A and B). Database for Annotation, Visualisation and Integrated Discovery (DAVID) was used to generate molecular function and biological processes pathway data on the unselected dataset highlighting significant changes in genes involved in cell cycle, cytokine–cytokine interactions and sphingolipid metabolism (Table S2). Genes both significantly up in Phlda2 placenta and significantly down in Phlda2 E16.5 whole placenta likely represent the spongiotrophoblast transcriptome (Fig. 3C, and Table S3). A dataset of these UP DOWN genes was further analysed by DAVID giving a functional annotation clustering analysis output which highlighted cytoskeleton pathways, cell division pathways and the protein superfamily prolactin/lactogen/growth hormone cluster (Cluster 3 Enrichment Score: 4.25) (Tables S4 and S5). Within cluster 3 were a number of placental prolactins known to be expressed within the spongiotrophoblast (Simmons et al., 2008) and secretin, also highly expressed within the spongiotrophoblast (Knox et al., 2011) (Table S6). This data, together with our RT-qPCR and in situ analyses (Fig. 1, Fig. 2), confirmed Phlda2 as a major rheostat for placental hormone gene expression.
Fig. 3

Microarray analysis identifies the transcriptomic signature of the spongiotrophoblast. A. Three-dimensional principle components analysis plot clustering placental gene expression with genotypes. B. Heat map showing genes significantly altered in relations to changes in Phlda2 gene dosage. The colour represents the expression level of the gene. Red represents high expression, while green represents low expression. The expression levels are continuously mapped on the colour scale provided at the bottom of the figure. Phlda2(0X) and Phlda2(2X) placenta show a reciprocal pattern of expression. C. Enrichment for placental hormones after pathways analysis of genes significantly UP in Phlda2(0X) and significantly DOWN in Phlda2(2X) placenta (p≤0.05) presumed to originate within the spongiotrophoblast. Supplemental Table 1 list the DAVID results and the UP DOWN annotated probe sets with a significant differences in gene expression at P≥0.05.

Excessive accumulation of placental glycogen in Phlda2-deficient placenta

Phlda2-deficiency results in a transient foetal growth restriction in C57BL/6 (BL6) mice (Frank et al., 2002, Salas et al., 2004). Given the less favourable foetal:placental ratio in 129 mice (Tunster et al., 2012), we asked whether foetal overgrowth might manifest on this genetic background. Phlda2 fetuses were similar in weight to their 129 non-transgenic counterparts at E14.5, E16.5 and E18.5 (Fig. 4A). Phlda2 placenta weighed more than non-transgenic at each time point with a maximal increase of 50% at E16.5 (p=7.42×10−8) (Fig. 4B). Phlda2-deficiency resulted in a lower F:P ratios (Fig. 4C) particularly evident at E16.5 with a change in ratio from 8.8±0.26 to 6.4±0.30 (73.1% of control; p=2.75×10−6).
Fig. 4

Influence of Phlda2 deficiency on foetal and placental weights, and glycogen accumulation. A. Weights of non-transgenic and Phlda2(0X) fetuses at the indicated gestational stages. Phlda2(0X) fetuses weigh the same as their non-transgenic counterparts at each time point. B. Weights of placentae at the indicated gestational stages. Phlda2(0X) placenta weigh more than their non-transgenic counterparts at each timepoint. C. Comparison of F:P ratios on the 129 background. D. Direct biochemical determination of total glycogen (mg) stored in Phlda2 and Phlda2(0X) placenta at E14.5, E16.5 and E18.5. Phlda2(0X) placenta contain significantly more glycogen than non-transgenic placenta at E16.5 and E18.5. E. Milligrams (mg) of glycogen stored per gram of placenta in Phlda2 and Phlda2(0X) placenta at E16.5 and E18.5. Numbers of samples given in Supplemental Table S7. Error bars represent SEM. Statistical significance calculated using t-test: NSP>0.05, *P<0.05, **P<0.01, and ***P<0.005.

Phlda2-deficiency resulted in increased Periodic Acid Schiff (PAS) staining for glycogen (Tunster et al., 2010, Frank et al., 2002). When we biochemically determined the amount of glycogen stored in the 129 placenta, Phlda2-deficiency resulted in greater stores of placental glycogen, as anticipated, with a maximal difference in total glycogen at E16.5 of 2.3-fold (129; Fig. 4D). These differences were maintained when placental weights were taken into account (Fig. 4E).

Global foetal growth restriction

Given the function of Phlda2 in restraining the spongiotrophoblast lineage and thus, indirectly, the production of placental hormones, loss-of-function of Phlda2 might promote the accumulation of placental glycogen and potentially support the increased growth of both the loss-of-function fetuses and their non-transgenic counterparts sharing the intrauterine environment. The within litter comparison would not necessary exclude this possibility. To address this, data on Phlda2-deficient fetuses and their non-transgenic littermates were compared to those from fully wild type litters at E18.5 collected concurrently using the parent strain. Remarkably, rather than an anticipated increase in foetal weights, we observed a 15% reduction in weight of both Phlda2 and Phlda2 compared to fully wild type litters (Fig. 5A). Non-transgenic placentae were similar in weight to fully wild-type placentae (Fig. 5B). Consequently the F:P ratios for both the Phlda2-deficient scenario and the non-transgenic scenario were both significantly different to the fully wild-type scenario (Fig. 5C). Remarkably, while placental glycogen stores from non-transgenic placenta at E18.5 contained significantly less glycogen per gram of placenta than the Phlda2-deficient placenta, they contained more glycogen overall than the fully wild type placenta (Fig. 5D). Phenotypes in the non-transgenic samples sharing the intrauterine environment with the transgenic individuals highlighted a global effect on the entire litter as a result of localised loss-of-function of Phlda2.
Fig. 5

Phlda2 deficiency drives global foetal growth restriction. A. Weights of non-transgenic and Phlda2(0X) fetuses compared with true 129 wild type values (wild type fetuses carried by wild type females). Both genotypes weigh less than fully wild type fetuses. B. Weights of non-transgenic and Phlda2(0X) placenta compared with true 129 wild type values. Phlda2(0X) placenta weigh considerably more than fully wild type placenta. C. Comparison of F:P ratios between non-transgenic, Phlda2(0X) and true 129 wild type. Both the non-transgenic and the Phlda2ratios are significantly different to the fully wild type ratio. D. Direct biochemical determination of glycogen in Phlda2 and Phlda2(0X) placenta at E18.5 as a percentage of true 129 wild type values expressed as total amount (mg) and as a proportion of placental weight (mg/g placenta). Phlda2(0X) placenta and the non-transgenic placenta both contain significantly more glycogen than fully wild type placenta on the 129 genetic background when placental weights are taken into account. Numbers of samples given in Supplemental Table S8. Error bars represent SEM. Statistical significance calculated using one way ANOVA with Bonferroni correction for multiple comparisons: NSP>0.05, *P<0.05, **P<0.01, and ***P<0.005.

The litters we examined were carried by dams inheriting the targeted Phlda2 allele, albeit paternally and thus the inactive allele. While Phlda2 is imprinted strongly in the placenta and extraembryonic membranes, functional imprinting is less well maintained in embryonic and adult tissues (Qian et al., 1997). To formally exclude a haploinsufficiency phenotype in the dams, Phlda2-deficient embryos and their non-transgenic controls were transferred into wild-type recipient mothers. The weights of both Phlda2−/+ (KO) and non-transgenic fetuses were significantly lighter when compared to fully wild-type litters (Fig. 6A). Phlda2−/+ (KO) placental weights were significantly increased (Fig. 6B) and the F:P ratio was lower (Fig. 6C). Importantly, whether examined as total glycogen or as glycogen per gram of placenta, the Phlda2−/+ (KO) and non-transgenic values were significantly higher than fully wild-type control values (Fig. 6D and E). These data excluded a maternal genotype-effect and identified a novel function for the spongiotrophoblast in promoting the global accumulation of placental glycogen.
Fig. 6

Exclusion of a maternal genotype phenotype. A. Comparison of wet weights of Phlda2 (0X) and non-transgenic fetuses carried by wild type dams generated by recipient transfer compared with fully wild type foetal weights at E18.5. Both foetal genotypes weight less than fully wild type fetuses. B. Comparison of wet weights of Phlda2− (0X) and non-transgenic placenta carried by wild type dams generated by recipient transfer compared with fully wild type placental weights at E18.5. C. F:P ratios from data in A and B. D. Comparison of total placental glycogen (mg) at E18.5. Both placental genotypes contain more glycogen than fully wild type placenta. E. Comparison of placental glycogen per gram of placenta (mg/g) at E18.5. Both placental genotypes contain more glycogen when placental weight is taken into account than fully wild type placenta. Numbers of samples given in Supplemental Table S9. Error bars represent SEM. Statistical significance calculated using one way ANOVA with Bonferroni correction for multiple comparisons: NSP>0.05, *P<0.05, **P<0.01, and ***P<0.005.

Discussion

Here we show that the imprinted Phlda2 gene acts in a lineage-specific manner to exclusively modulate the size of the spongiotrophoblast compartment of the mature mouse placenta. Phlda2 is the first gene described which has this specific function allowing the in vivo assessment of the function of this lineage. Using both loss-of-function and gain-in-expression models we show that, via the spongiotrophoblast, Phlda2 negatively regulates the expression of a number of key placental hormones. We show that an expanded spongiotrophoblast compartment, driven by loss-of-function of Phlda2, drives an inappropriate accumulation of placental glycogen both locally, in the genetically modified individuals, and also globally in individuals that were genetically wild type. This work identifies a novel signalling function for the spongiotrophoblast. The presence of foetal growth restriction in both the genetically modified individuals and their non-transgenic counterparts further suggests that Phlda2 balances resource allocation between the foetus and the placenta, a process that must be precisely regulated for optimal foetal growth. Phlda2 is the only gene to date which acts to limit the size of the spongiotrophoblast compartment of the mouse placenta without significantly altering the contribution of additional placental lineages that share a common progenitor (Rai and Cross, 2014). This suggests that Phlda2 acts in placental development after these lineage decisions are made but before Phlda2 expression subsides (Fig. 7). This unique specificity for the spongiotrophoblast allowed us to explore the function of the spongiotrophoblast. One key finding from this study was that an expanded spongiotrophoblast drove the excessive accumulation of placental glycogen both directly, within the loss-of-function placenta, and also indirectly in the non-transgenic placenta sharing the uterine environment. To our knowledge, this is the first example of a gene modification affecting the phenotype in wild type conceptuses of the same litter. However, very few studies make the comparison with fully wild type data. These data suggest that the spongiotrophoblast produces a signal that acts locally and at a distance to stimulate glycogen accumulation. The spongiotrophoblast expresses a number of placental prolactins (Simmons et al., 2008) and pregnancy specific glycoproteins (McLellan et al., 2005). Consequently, by changing the size of the spongiotrophoblast compartment, Phlda2 indirectly and negatively regulates the expression of several placental hormones. Many of these placental hormones act on the maternal system to channel nutrients to the foetus and ensure a healthy and successful pregnancy (Samaan et al., 1968, Bhattacharyya et al., 2002, Muller et al., 1999, Kammerer and Zimmermann, 2010, Wu et al., 2008). One explanation for our findings is that an increased signal (Phlda2 loss-of-function) leads to increased nutrient availability potentially explaining increased placental glycogen in both genotypes. However, we observed foetal growth restriction of both the Phlda2 KO fetuses and their non-transgenic, genetically wild-type littermates. We could discount a haploinsufficiency phenotype in the dams, which carry the paternal targeted allele, because embryos transferred into wild-type recipients also displayed both foetal growth restriction and excessive placental glycogen of both genotypes (Fig. 6). Another explanation is that the defect lies at the level of foetal uptake of glucose or the ability to transport it across the placenta to the foetus such that placental glycogen accumulates because it is not utilised. A third explanation is that the spongiotrophoblast produces a signal demanding nutrients to support placental growth. When the signal is too high, as in the Phlda2 loss-of-function model, it outcompetes the demand signal from the foetus resulting in the diversion of maternal resources away from supporting foetal growth and towards supporting placental growth. This latter explanation is plausible as the placenta is a highly metabolic organ consuming maternal energy in order to support the active transport of nutrients to the foetus and also the production and secretion of vast quantities of placental hormones (John, 2013). In mammals, more than half of the total uterine glucose and oxygen uptake is channelled to the uteroplacental tissues (Fowden, 1997, Carter, 2000). A larger placenta, observed in the Phlda2 loss-of-function model, would require a greater proportion of maternal resources that might occur to the detriment of foetal growth. While further work is required to determine the precise mechanism driving foetal growth restriction in this model, this study has demonstrated that a precisely regulated dose of Phlda2 is essential for optimal foetal growth with both loss-of-function and gain-in-expression driving foetal growth restriction in mice.
Fig. 7

Summary of the cell autonomous and non-cell autonomous functions of Phlda2 in regulating placental glycogen accumulation. Trophoblast lineage allocation and lineage markers adapted from Rai and Cross (2014).

Phlda2 does not appear to follow the straightforward rules applied to a substantial number of imprinted genes whereby paternally expressed genes promote placental and foetal growth whereas maternally expressed genes restrain placental and foetal growth. Phlda2 resides within a complex imprinted domain spanning several maternally expressed genes including Cdkn1c, a potent embryonic growth restriction gene (Andrews et al., 2007, Tunster et al., 2011). Neither loss-of-function of Phlda2 nor loss-of-function of Cdkn1c alone in mice results in the increase in birth weight predicted by the genomic conflict theory. It may be that loss of function of such critically important genes has too severe an impact on foetal development. Alternatively, the combined alteration may be required to generate larger offspring. Our data from mouse models would predict an increase in foetal weight, due to reduced Cdkn1c expression, alongside an increase in the signalling function of the placenta, due to reduced Phlda2 expression, thus retaining the balance between foetal growth and placental demands on maternal resources. Co-imprinting of these two genes, which occurred after marsupials diverged for Eutherian mammals (Suzuki et al., 2005, Suzuki et al., 2011), may consequently have played an important role in the evolution of modern day mammals that give birth to relatively mature offspring. In conclusion, we have shown that Phlda2 modulates the signalling function of the placenta to limit the accumulation of placental glycogen and placental growth. While this does not provide a facile explanation for paternal silencing of Phlda2, our work highlights the complex relationship between the mother, the foetus and the placenta whose requirements must be carefully balanced for an optimal reproductive success.

Competing interests statement

The authors declare that there is no conflict of interest financial or otherwise associated with this submission.

Author contributions

SJT performed the bulk of the experiments, analysed data and contributed to the writing of the manuscript. HDJC performed the microarray analysis and some of the animal work. RMJ conceived and designed the experiment, interpreted the data and wrote the paper.
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Authors:  T Moore; D Haig
Journal:  Trends Genet       Date:  1991-02       Impact factor: 11.639

3.  Deletion of Peg10, an imprinted gene acquired from a retrotransposon, causes early embryonic lethality.

Authors:  Ryuichi Ono; Kenji Nakamura; Kimiko Inoue; Mie Naruse; Takako Usami; Noriko Wakisaka-Saito; Toshiaki Hino; Rika Suzuki-Migishima; Narumi Ogonuki; Hiromi Miki; Takashi Kohda; Atsuo Ogura; Minesuke Yokoyama; Tomoko Kaneko-Ishino; Fumitoshi Ishino
Journal:  Nat Genet       Date:  2005-12-11       Impact factor: 38.330

Review 4.  Imprinted genes and regulation of gene expression by epigenetic inheritance.

Authors:  R M John; M A Surani
Journal:  Curr Opin Cell Biol       Date:  1996-06       Impact factor: 8.382

5.  Isolation and characterization of a novel trophoblast-specific cDNA in the mouse.

Authors:  K R Lescisin; S Varmuza; J Rossant
Journal:  Genes Dev       Date:  1988-12       Impact factor: 11.361

6.  Metabolic effects of placental lactogen (HPL) in man.

Authors:  N Samaan; S C Yen; D Gonzalez; O H Pearson
Journal:  J Clin Endocrinol Metab       Date:  1968-04       Impact factor: 5.958

7.  Determination of glycogen in small tissue samples.

Authors:  S Lo; J C Russell; A W Taylor
Journal:  J Appl Physiol       Date:  1970-02       Impact factor: 3.531

8.  The expression of the imprinted gene Ipl is restricted to extra-embryonic tissues and embryonic lateral mesoderm during early mouse development.

Authors:  Sally L Dunwoodie; Rosa S P Beddington
Journal:  Int J Dev Biol       Date:  2002       Impact factor: 2.203

9.  Essential role of Mash-2 in extraembryonic development.

Authors:  F Guillemot; A Nagy; A Auerbach; J Rossant; A L Joyner
Journal:  Nature       Date:  1994-09-22       Impact factor: 49.962

10.  Coordinate expression of vascular endothelial growth factor receptor-1 (flt-1) and its ligand suggests a paracrine regulation of murine vascular development.

Authors:  G Breier; M Clauss; W Risau
Journal:  Dev Dyn       Date:  1995-11       Impact factor: 3.780

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  32 in total

1.  Methods of epigenome editing for probing the function of genomic imprinting.

Authors:  Kira DA Rienecker; Matthew J Hill; Anthony R Isles
Journal:  Epigenomics       Date:  2016-09-14       Impact factor: 4.778

Review 2.  Role of genomic imprinting in mammalian development.

Authors:  Thushara Thamban; Viplove Agarwaal; Sanjeev Khosla
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

3.  Placental effects on the maternal brain revealed by disrupted placental gene expression in mouse hybrids.

Authors:  Lena Arévalo; Polly Campbell
Journal:  Proc Biol Sci       Date:  2020-01-15       Impact factor: 5.349

4.  Epigenetic marks of prenatal air pollution exposure found in multiple tissues relevant for child health.

Authors:  Christine Ladd-Acosta; Jason I Feinberg; Shannon C Brown; Frederick W Lurmann; Lisa A Croen; Irva Hertz-Picciotto; Craig J Newschaffer; Andrew P Feinberg; M Daniele Fallin; Heather E Volk
Journal:  Environ Int       Date:  2019-02-28       Impact factor: 9.621

5.  Placenta-specific lncRNA 1600012P17Rik is expressed in spongiotrophoblast and glycogen trophoblast cells of mouse placenta.

Authors:  Junxiao Wang; Syunya Noguchi; Takami Takizawa; Yasuyuki Negishi; Rimpei Morita; Shan-Shun Luo; Toshihiro Takizawa
Journal:  Histochem Cell Biol       Date:  2022-04-29       Impact factor: 4.304

6.  Placental origins of adverse pregnancy outcomes: potential molecular targets: an Executive Workshop Summary of the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Authors:  John V Ilekis; Ekaterini Tsilou; Susan Fisher; Vikki M Abrahams; Michael J Soares; James C Cross; Stacy Zamudio; Nicholas P Illsley; Leslie Myatt; Christine Colvis; Maged M Costantine; David M Haas; Yoel Sadovsky; Carl Weiner; Erik Rytting; Gene Bidwell
Journal:  Am J Obstet Gynecol       Date:  2016-03-10       Impact factor: 8.661

7.  Transcriptional diversity and bioenergetic shift in human breast cancer metastasis revealed by single-cell RNA sequencing.

Authors:  Ryan T Davis; Kerrigan Blake; Dennis Ma; Mari B Ishak Gabra; Grace A Hernandez; Anh T Phung; Ying Yang; Dustin Maurer; Austin E Y T Lefebvre; Hamad Alshetaiwi; Zhengtao Xiao; Juan Liu; Jason W Locasale; Michelle A Digman; Eric Mjolsness; Mei Kong; Zena Werb; Devon A Lawson
Journal:  Nat Cell Biol       Date:  2020-03-06       Impact factor: 28.824

8.  phlda3 overexpression impairs specification of hemangioblasts and vascular development.

Authors:  Xiaojing Wang; Jia Li; Zhongcheng Yang; Li Wang; Lei Li; Wenqing Deng; Juan Zhou; Longfei Wang; Chengqi Xu; Qiuyun Chen; Qing K Wang
Journal:  FEBS J       Date:  2018-09-20       Impact factor: 5.542

Review 9.  Male Factors: the Role of Sperm in Preimplantation Embryo Quality.

Authors:  Zahra Bashiri; Fardin Amidi; Iraj Amiri; Zahra Zandieh; Chad B Maki; Fatemeh Mohammadi; Sadegh Amiri; Morteza Koruji
Journal:  Reprod Sci       Date:  2020-11-02       Impact factor: 3.060

10.  Placental endocrine insufficiency programs anxiety, deficits in cognition and atypical social behaviour in offspring.

Authors:  David J Harrison; Hugo D J Creeth; Hannah R Tyson; Raquel Boque-Sastre; Susan Hunter; Dominic M Dwyer; Anthony R Isles; Rosalind M John
Journal:  Hum Mol Genet       Date:  2021-09-15       Impact factor: 6.150

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