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PLoS Genet. Jul 2009; 5(7): e1000541.
Published online Jul 3, 2009. doi:  10.1371/journal.pgen.1000541
PMCID: PMC2696593

Positional Cloning of Zinc Finger Domain Transcription Factor Zfp69, a Candidate Gene for Obesity-Associated Diabetes Contributed by Mouse Locus Nidd/SJL

Jonathan Flint, Editor

Abstract

Polygenic type 2 diabetes in mouse models is associated with obesity and results from a combination of adipogenic and diabetogenic alleles. Here we report the identification of a candidate gene for the diabetogenic effect of a QTL (Nidd/SJL, Nidd1) contributed by the SJL, NON, and NZB strains in outcross populations with New Zealand Obese (NZO) mice. A critical interval of distal chromosome 4 (2.1 Mbp) conferring the diabetic phenotype was identified by interval-specific congenic introgression of SJL into diabetes-resistant C57BL/6J, and subsequent reporter cross with NZO. Analysis of the 10 genes in the critical interval by sequencing, qRT–PCR, and RACE–PCR revealed a striking allelic variance of Zfp69 encoding zinc finger domain transcription factor 69. In NZO and C57BL/6J, a retrotransposon (IAPLTR1a) in intron 3 disrupted the gene by formation of a truncated mRNA that lacked the coding sequence for the KRAB (Krüppel-associated box) and Znf-C2H2 domains of Zfp69, whereas the diabetogenic SJL, NON, and NZB alleles generated a normal mRNA. When combined with the B6.V-Lepob background, the diabetogenic Zfp69SJL allele produced hyperglycaemia, reduced gonadal fat, and increased plasma and liver triglycerides. mRNA levels of the human orthologue of Zfp69, ZNF642, were significantly increased in adipose tissue from patients with type 2 diabetes. We conclude that Zfp69 is the most likely candidate for the diabetogenic effect of Nidd/SJL, and that retrotransposon IAPLTR1a contributes substantially to the genetic heterogeneity of mouse strains. Expression of the transcription factor in adipose tissue may play a role in the pathogenesis of type 2 diabetes.

Author Summary

Type 2 diabetes in humans as well as in obese mice is caused by a combination of adipogenic and diabetogenic gene variants. We have identified a gene that appears to be involved in the pathogenesis of hyperglycaemia in obese mice: in some mouse strains, the gene Zfp69 is disrupted by a retroviral transposon (IAPLTR1a), which generates a truncated mRNA. Disruption of the gene was associated with a reduced susceptibility for diabetes, whereas the normal allele enhanced hyperglycaemia in obese mice. Zfp69 encodes a transcription factor which appears to interfere with lipid storage in adipose tissue, and thereby enhances lipid deposition in liver. In humans with type 2 diabetes, mRNA levels of the human orthologue of Zfp69 (ZNF642) were increased in adipose tissue. Thus, the transcription factor ZFP69/ZNF642 may be involved in the pathogenesis of obesity-associated diabetes.

Introduction

Type 2 diabetes results from the combination of insulin resistance and inadequate insulin secretion, the former being associated with obesity [1]. The risk of developing type 2 diabetes is to approximately 50% inherited [2]. Recently, numerous associations between single nucleotide polymorphisms and the diabetes risk in humans have been identified and confirmed [3][7]. However, little is known as to the functional consequences of these SNPs at the molecular, cellular, and physiological level.

Obese mouse strains carrying the Lepob (ob) or the Lepdb (db) mutation have proven to be valuable models for the study of the pathophysiology and genetics of type 2 diabetes [8]. In these strains, the adipogenic mutation is necessary, but not sufficient for the development of severe hyperglycaemia and diabetes [9]. Thus, the diabetic phenotype appeared to be conferred by the background strain, and it was assumed that lean mice may carry diabetogenic and/or diabetes-protecting alleles. Furthermore, quantitative trait loci for obesity and hyperglycaemia were separated in outcross experiments of New Zealand Obese (NZO) mice and lean strains, proving the concept that diabetes is the result of a combination of adipogenic and diabetogenic alleles [10][13]. Subsequently, two genes that confer diabetes susceptibility of obese strains have been identified. Sorcs1 is a gene involved in microvasculature function, and contributes to diabetes in BTBR.V(B6)-Lepob mice [14]. A variant of Lisch-like was shown to be responsible in part for the diabetogenic effect of the DBA background in mice carrying the adipogenic db mutation [15]. Lisch-like has been suggested to be involved in the development of insulin-producing cells. Thus, positional cloning of mouse diabetes genes may provide major insights into the pathogenesis of obesity-associated diabetes.

We have previously identified a QTL (Nidd/SJL) on distal chromosome 4 that aggravated and accelerated diabetes in an outcross population of NZO with the lean SJL strain [11],[12]. This QTL exhibited high LOD scores for the trait blood glucose, and reproducibly doubled the prevalence of diabetes in a NZOxSJL backcross population [12]. In addition, it markedly enhanced the effect of a second diabetes and obesity-modifying gene [16]. The chromosomal position of Nidd/SJL is similar to that of a previously described diabetogenic QTL (Nidd1, Figure 1) which has been identified in an outcross of NZO with NON [10]. Interestingly, the human syntenic region of Nidd1 and Nidd/SJL (human chromosome 1) comprises a QTL for reduced insulin secretion that was identified in the Pima Indian population [17]. Furthermore, in a recent metaanalysis of diabetogenic mouse QTL, distal chromosome 4 was among the 7 consensus regions with the highest combined LOD scores [18]. Thus, Nidd/SJL appeared to be a prime target for positional cloning of a novel mouse diabetes gene.

Figure 1
Location and diabetogenic effect of QTL Nidd/SJL on distal mouse chromosome 4.

Results

Identification and fine-mapping of a critical diabetogenic interval of Nidd/SJL

Figure 1A illustrates the position of the Nidd/SJL locus on distal chromosome 4 [11],[12] and its proximity to the previously described Nidd1 [10]. For further analysis of the QTL, we introgressed a segment of SJL chromosome 4 defined by the markers D4Mit175 and D4Mit233 (Figure 1A) into the C57BL/6J (B6) background. These mice (B6.SJL-Nidd/SJL) were lean and exhibited no alteration in glucose homeostasis (data not shown). Thus, B6.SJL-Nidd/SJL mice were then mated with NZO in order to introduce obesity, and the resulting F1 was intercrossed or backcrossed on NZO. Characterization of the N2 progeny indicated that Nidd/SJL carriers exhibited early onsetting hyperglycaemia with blood glucose levels approximately 150 mg/dl higher than in carriers of the NZO allele (Figure 1B), and stopped gaining weight in week 10–12 (Figure 1C). Similar results were obtained in the F2 intercross which showed an additive effect of Nidd/SJL (Figure S1). It should be noted that carriers of the NZO allele of Nidd/SJL also became hyperglycaemic, although to a much lesser degree than carriers of the SJL allele (Figure 1B), presumably due to other diabetogenic alleles from NZO chromosomes 1 and 15 [10],[11; Vogel et al., unpublished]. These mice, however, continued to gain weight (Figure 1C), indicating that the weight development could be used as an additional criterion to determine the presence or absence of the causal gene in Nidd/SJL.

For restriction of the critical segment of Nidd/SJL, interval-specific congenic B6.SJL-Nidd/SJL mice carrying different segments of the QTL (Figure 2A) were mated with NZO and backcrossed. Characterization of the N2 progeny with regard to their blood glucose levels and development of body weight indicated that segments I, II, and III were diabetogenic (Figure 2B). Segment IV, in contrast, which serendipitously originated from segment III in the final backcross to B6, failed to produce the severe hyperglycaemia and growth arrest. Thus, the critical interval of chromosome 4 comprising the diabetogenic allele was defined by the markers D4Mit76 and D4Mit12 (Figure 2A). For further fine mapping we used additional SNPs from the public databases (Figure S2), thereby reducing the critical interval defined by the genotypes of segments III and IV to 2.1 Mbp (Figure 3A and Figure S2). The interval was flanked by Nfyc and Ppt1, and contained 10 confirmed genes. The human syntenic region contains two additional genes (Figure 3B; ZNF684 and ZNF643), presumably duplications of ZNF642. Data base searches indicated that these genes are not present in the mouse genome; their closest mouse orthologue is Zfp69.

Figure 2
Identification of a critical interval of mouse chromosome 4 harboring the diabetogenic allele Nidd/SJL.
Figure 3
Map of the critical interval of Nidd/SJL.

Analysis of the critical region by sequencing and mRNA profiling

Sequencing of all 10 genes in the critical interval (Figure 3A) identified non-synonymous substitutions in Zfp69 (T57I, A79V), Smap2 (T257I), and Col9A2 (T298I, A482I, R610H). Zfp69 encodes a transcription factor; the amino acid exchanges are located outside of its functional domains (zinc finger binding domain, KRAB domain). Smap2 (stromal membrane-associated protein 2; alias Smap1l) encodes an ARF-GTPase activating protein which regulates protein trafficking from endosomes to the Golgi [19],[20]; its crystal structure has been determined [21]. In the SJL sequence, threonine 257 is exchanged for isoleucine; the human orthologue also carries an isoleucine in this position. The exchange is classified as ‘tolerated’ by the SIFT program which predicts deleterious amino acid substitutions [22]. Col9A2 encodes a collagen subunit which is predominantly expressed in cartilage [23]. The three substitutions identified in the SJL sequence are classified as ‘tolerated’ by the SIFT program. Thus, none of the amino acid exchanges in Smap2 and Col9a2 are likely candidates explaining the diabetogenic effect of Nidd/SJL.

Next, we determined the expression of all 10 confirmed genes in liver, muscle, and adipose tissue of SJL, NZO, and B6 by quantitative PCR (data for adipose tissue shown in Figure S3). mRNA of Col9a2 and Tmco2 was undetectable in these tissues. With the exception of Zfp69, none of the other investigated genes exhibited significant and consistent differences in their expression. As is illustrated in Figure 4, mRNA levels of Zfp69 differed markedly between the strains NZO, B6, and SJL: mRNA levels of Zfp69 were nearly undetectable in NZO and B6, but were present in SJL (Figure 4A). Analysis of tissues from congenic B6.SJL-Nidd/SJL mice indicated that the expression of Zfp69 was dependent on the genotype (B6 or SJL) of the critical interval of Nidd/SJL (Figure 4B). These data suggested that an allelic variation of Zfp69 itself had caused its differential expression.

Figure 4
Expression of Zfp69 is suppressed in NZO and B6.

Identification of a loss-of-function variant of Zfp69

In order to test the possibility that the marked difference in the RT-PCR signal (primer pair 1 in Figure 5A) between NZO and SJL was due to the formation of different mRNA species, we analysed the Zfp69 cDNA by RACE-PCR. Products of 5′-RACE corresponded with the reference sequence (Accession number ENSMUST00000106280) and were identical in the two strains. By 3′-RACE, however, we detected a shorter cDNA in B6 and NZO that contained only the first three exons fused to a short segment of intron 3 (Figure 5B; alternative exon 3A in Figure 5A); this segment comprised a stop codon and a polyadenylation site. PCR with a primer matching exon 3A indicated that the shorter cDNA was expressed in B6 but not in SJL (Figure 5C). Conversely, the full length cDNA of Zfp69 comprising exon 4 was nearly undetectable in B6 (Figure 5D), consistent with the results of the quantitative PCR shown in Figure 4. Further characterization of intron 3 by PCR (Figure 5E) and sequencing indicated that B6 and NZO carry an inserted retrotransposon (IAPLTR1a) which functions as a gene trap by causing intronic polyadenylation and alternative splicing. Accordingly, no immunoreactive ZFP69 protein was detected in B6 and NZO with antiserum against a C-terminal peptide (Figure 5G). The retrotransposon was also detected in NZL and BKS which are strains related with NZO and B6, respectively. In contrast, SJL, NZB, NON (Figure 5F), and 5 other strains we tested (Table S3) lacked the 7115 bp insertion.

Figure 5
Loss-of-function of Zfp69 in NZO and B6 by alternative mRNA splicing and intronic polyadenylation.

Zfp69 is a member of the subfamily of zinc finger transcription factors that comprise a N-terminal KRAB and a zinc finger binding C2H2 domain (Figure 5H, [24],[25]. The shorter mRNA generated in B6 and NZO encodes a truncated protein which can be considered a loss-of-function variant since it lacks both the KRAB and the (DNA binding) C2H2 domain of the transcription factor.

Allelic variation of Zfp69 in mouse strains NZO, B6, NZB, SJL, and NON corresponds with expression of Zfp69 and with the diabetogenic effect of chromosome 4 in three outcross populations

Several outcross experiments generating obese mouse populations have previously been performed that showed the presence (NZOxNON, [10]; NZOxSJL, [11]; NZOxNZB, Schmolz et al., unpublished) or absence (NZOxB6, Vogel et al., unpublished) of a diabetogenic allele in the vicinity of D4Mit278 on chromosome 4. According to these data, NON and SJL contributed a major diabetogenic effect (Nidd1 and Nidd/SJL). In addition, distal chromosome 4 of NZB (D4Mit203) contributed to the hyperglycaemia of the (NZOxNZB)F2 (blood glucose in wk 22: genotype NZO/NZO, 301±32; NZO/NZB, 389±19; NZB/NZB, 376±28 mg/dl; p<0.05 for differences to NZO/NZO). Based on these data, we expected that SJL, NON, and NZB carry an identical (diabetogenic) allele of Zfp69, and that NZO and B6 both carry a diabetes-suppressing allele. Indeed, the contribution of the different mouse strains to hyperglycaemia in the intercross populations corresponded with the allelic variation of Zfp69 in these strains (Figure 5F). These data are consistent with the hypothesis that loss of function of Zfp69 supresses diabetes, and that complementation by the ‘wild-type’ allele as in SJL enhances obesity-associated diabetes.

Insertion of the retrotransposon IAPLTR1a produces aberrant mRNA species of eight genes in the B6 genome

Endogenous retroviral elements such as IAP and ETn/MusD retrotransposons have previously been shown to be significant genomic mutagens [26], and appear to contribute substantially to the genetic heterogeneity of mouse strains. In order to test the possibility that IAPLTR1a insertion generates variant transcripts of other genes in the B6 genome, we used a bioinformatic approach and identified all insertions of the retrotransposon by an alignment with its 338 bp LTR sequence. This alignment identified 33 integrations into introns of genes. Subsequently, all EST clones that mapped to the position of these genes were identified and aligned with the reference cDNAs. With this procedure, a total of 8 genes including the previously reported Adamts13 [27] were found (Table 1) that generated aberrant mRNA species (premature polyadenylation or alternative transcription start) due to the insertion of the IAPLTR1a.

Table 1
Gene variants in B6 mice caused by integration of the IAPLTR1a_Mm sequence.

Characterization of B6-ob/ob mice carrying the diabetogenic Zfp69 allele

In order to study the functional consequences of the presence or absence of Zfp69 mRNA as seen in B6 vs. SJL, we combined the ob mutation with Nidd/SJL on the B6 background. Obese mice homozygous for the SJL allele of Zfp69 exhibited the same time course of weight gain as carriers of the B6 allele (loss-of-function variant; Figure S4A), but significantly higher blood glucose (Figure 6A and Figure S4B) and plasma triglyceride levels (Figure 6B). Most strikingly, the SJL genotype of 13 weeks old B6-ob/ob.SJL-Nidd/SJL mice was associated with a significant increase (30%) in liver triglyceride content (Figure 6C) and weight (data not shown), and with a pronounced reduction (60%) of gonadal (epididymal) fat (Figure 6D). The reduction in gonadal fat mass appeared to precede the hepatosteatosis of B6-ob/ob.SJL-Nidd/SJL mice, since in younger animals (8 weeks), a difference between genotypes in gonadal fat, but not in hepatic weight which paralleles hepatosteatosis was observed (Figure S5). Thus, Nidd/SJL might have caused a moderate lipid storage defect, and a redistribution of triglycerides to ectopic stores.

Figure 6
Effect of the Zfp69SJL allele in B6.V-Lepob mice.

Interaction of the diabetogenic alleles Nidd/SJL (Zfp69SJL) and Nob1 (Tbc1d1NZO)

We have previously reported that the diabetogenic effect of Nidd/SJL was accelerated and aggravated by a QTL on chromosome 5 (Nob1) [12]. More recently, we have identified the RabGAP Tbc1d1 as the gene responsible for the effect of Nob1 [16]. Tbc1d1NZO reduced fatty acid oxidation in muscle, thereby enhancing obesity and diabetes susceptibility. Increased levels of ectopic triglycerides caused by Zfp69 would therefore explain the interaction of Nidd/SJL with Nob1. In order to strengthen this point, we analysed the data of the NZOxSJL intercross for an earlier time point (Figure S6). This analysis indicated that the diabetogenic Zfp69SJL allele required Tbc1d1NZO in order to significantly increase blood glucose and plasma insulin levels in week 10.

Increased mRNA levels of ZNF642, the human orthologue of Zfp69, in white adipose tissue of patients with type 2 diabetes

In order to test the possibility that the human orthologue of Zfp69 is involved in the pathogenesis of human type 2 diabetes, we determined its expression in omental and subcutaneous white adipose tissue of diabetic and control individuals. As is illustrated in Figure 7, mRNA levels of ZNF642 were significantly higher in diabetic patients than in controls in both omental and subcutaneous adipose tissue. In addition, there was a significant correlation of HbA1c levels with ZNF642 mRNA (r = 0.32; p<0.006). Subgroup analysis indicated that the correlation was significant in overweight (BMI>25; r = 0.34; p = 0.002) but not in lean (BMI<25; r = −0.09; p = 0.74) individuals.

Figure 7
Expression of ZNF642 in adipose tissue of human individuals with (T2D) and without (no) type 2 diabetes.

Discussion

The present data identify the zinc finger domain transcription factor Zfp69 as the most likely candidate for the diabetogenic effect of the mouse QTL Nidd1 and Nidd/SJL which aggravates and accelerates obesity-associated diabetes in the NZO strain, and enhances hyperglycaemia in B6-ob/ob mice. The following arguments can be made in favour of this conclusion:

  1. With interval-specific congenics, we defined a critical genomic interval with 10 genes that was required to enhance diabetes in NZO mice,
  2. of the 10 genes located in that interval, Zfp69 exhibited the most pronounced allelic variation in that the gene was ‘trapped’ by a retrotransposon,
  3. this allelic variation corresponded with the diabetogenic or diabetes-resistant effect of the QTL in five mouse strains, and
  4. expression of the human orthologue of Zfp69 is increased in adipose tissue of human diabetics, supporting the hypothesis that the gene is involved in adipose tissue function.

Surprisingly, diabetes appears to be produced by ‘rescue’ of a loss-of-function variant of Zfp69: NZO mice and the diabetes-resistant B6 strain express a truncated mRNA, whereas the diabetogenic allele from SJL and NON produces a ‘normal’ expression of Zfp69.

Identification of Zfp69 as the causal gene crucially depends on exclusion of other variations in the critical region. Firstly, Zfp69 was the only gene in the region exhibiting a significant differential expression in liver, adipose tissue, muscle or pancreas. Secondly, the T257I substitution in SMAP2 is outside of the functional domains of the ARF-GTPase activating protein [19],[20],[21], corresponds with the human sequence, and is classified as ‘tolerated’ by a method predicting deleterious substitutions [22]. Thirdly, the three non-synonymous exchanges in Col9a2 were also classified as ‘tolerated’. Furthermore, we failed to detect mRNA of Col9a2 in insulin-sensitive tissues or pancreas by PCR. The gene encodes a subunit of the extracellular matrix protein collagen type IX which is involved in cartilage and bone function [23]. Loss-of-function mutations cause multiple epiphyseal dysplasia in humans, and skeletal abnormalities in mice [28],[29]. Thus, none of the other nine genes in the critical region are likely candidates for the diabetogenic effect of Nidd/SJL.

In order to further elucidate the diabetogenic effect of Nidd/SJL, and to link it with a cellular function of Zfp69SJL, we have studied B6.SJL-Nidd/SJL mice rendered obese by the ob mutation (B6.V-Lepob X B6.SJL-Nidd/SJL). Because of their monogenic obesity, these mice are much more homogeneous than the polygenic (NZOxSJL)F2 intercross population. The effects observed in these mice are consistent with the hypothesis that Nidd/SJL produced a redistribution of triglycerides from gonadal adipose tissue to ectopic stores such as liver, thereby causing hyperglycaemia through an aggravated insulin resistance. With such a scenario, we hypothesize that Zfp69SJL primarily causes a reduced storage capacity of epididymal adipose tissue. Zfp69SJL belongs to a family of transcription factors that comprise the conserved Krüppel-associated box (KRAB) in addition to the zinc finger DNA binding domain [25]. The KRAB domain appears to activate co-repressors, resulting in a suppression of target genes [30]. By analogy, we speculate that the normal Zfp69 allele suppresses genes required for expansion of adipose tissue stores. It should be noted, however, that this hypothesis requires definitive proof by a direct identification of the genes regulated by Zfp69.

Interestingly, the above described scenario would explain the previously observed interaction between the diabetogenic Nidd/SJL allele and Nob1/Tbc1d1 [12]. We have recently shown that the normal Tbc1d1 allele reduces fatty acid oxidation in muscle, thereby enhancing obesity and diabetes susceptibility [16]. Redistribution of triglycerides caused by Zfp69 would enhance the deleterious effects of the reduced fat oxidation, and explain the accelerated onset of diabetes observed in the presence of both diabetogenic alleles [12]. However, we cannot fully rule out additional effects of Zfp69 on other tissues such as muscle or pancreas.

It should be noted that the diabetogenic effect of the Zfp69 variant is markedly dependent on interaction with other genes contributed by the background strain. Zfp69 requires obesity in order to produce hyperglycaemia (‘diabesity’), and needs other diabetogenic alleles in order to produce beta cell failure, hypoinsulinaemia, and weight loss. So far, we could not detect beta cell destruction on the B6 background. On the NZO background, it was the interaction with NZO alleles on chromosomes 1 and 15 that enhanced the diabetogenic effect of Zfp69 [Vogel et al., unpublished].

The production of an aberrant mRNA by alternative splicing is common in human inherited disease. Here, we have identified an unusual mechanism: a truncated Zfp69 mRNA was generated by insertion of a retrotransposon comprising a polyadenylation signal and a splicing acceptor site into intron 3. By a similar mechanism, expression of the endothelin B receptor is reduced in piebald mice [31]. Furthermore, it was shown recently that human soluble VEGF receptor is generated, and its abundance regulated, by intronic polyadenylation and alternative splicing [32]. In addition, an IAP retrotransposon causes intronic polyadenylation of the mouse Adamts13 gene [27]. Our in-silico search identified at least 7 additional genes with insertions of the IAPLTR1a that produced aberrant transcripts by the same mechanism of intronic polyadenylation and alternative splicing. Together with our functional data on the trapping of Zfp69 by IAPLTR1a, this finding supports the previous suggestion [26] that insertion of retroviral elements is an important contributor to the genetic heterogeneity of mouse strains.

Materials and Methods

Animals

NZO mice from our own colony (NZO/HIBomDife: Dr. R. Kluge, German Institute of Human Nutrition, Nuthetal, Germany), SJL (SJL/NBom, Taconic, M+B, Ry, Denmark), and B6 (C57BL/6JCrl, Charles River, Sulzfeld, Germany) were used throughout. Mice were housed at a temperature of 22°C with a 12:12 hours light-dark cycle (lights on at 6:00 a.m.) in type II or type III macrolon cages with soft wood bedding. Standard chow (maintenance diet for rats and mice, No. V153xR/M-H, Ssniff, Soest, Germany) contained (w/w) 19% protein, 3.3% fat, and 54.1% carbohydrates, with 23%, 8%, and 69% of total digestible energy (11.8 kJ/g) from protein, fat, and carbohydrates, respectively. The high-fat diet (No. C1057, Altromin, Lage, Germany) contained (w/w) 17% protein, 15% fat, and 47% carbohydrates, with 17%, 35%, and 48% of total digestible energy (16.2 kJ/g) from protein, fat, and carbohydrates. The animals were kept in accordance with the NIH guidelines for care and use of laboratory animals, and all experiments were approved by the Ethics Committee of the Ministry of Agriculture, Nutrition and Forestry of the State of Brandenburg, Germany.

Breeding strategy

SJL mice were backcrossed three times to B6. The progeny was genotyped with microsatellite markers and selected for the genotype of Nidd/SJL. The different interval-specific congenic B6.SJL-Nidd/SJL mice were mated with NZO. The resulting F1 generation was backcrossed to NZO (N2) or intercrossed (F2). B6-ob/ob.SJL-Nidd/SJL mice were generated by mating B6.SJL-Nidd/SJL animals (defined by markers D4Mit175 and D4Mit251) with B6.V-Lepob mice heterozygous for the ob allele. Residual SJL donor DNA from other chromosomes as determined by genome-wide SNP genotyping (KBioscience, UK) was 2.9% in the (NZOxB6.SJL-Nidd/SJL)N2 progeny (Figure 2), and 7.7% in B6-ob/ob.SJL-Nidd/SJL mice (Figure 6, Figure S4, S5, S6). For linkage analysis and phenotypic characterization, male mice were used throughout.

Analysis of body composition

Body fat and lean mass were determined with a nuclear magnetic resonance spectrometer (Bruker Minispec instrument, Echo Medical Systems, Houston, TX, USA). Conscious mice were placed in an applied static field for 0.9 minutes [33]. In addition, body weights were measured with an electronic scale.

Serum parameters

Blood samples were collected at 8:00–9:00 a.m. from mice that had free access to food and water unless indicated otherwise. Glucose levels were determined with a glucometer elite (Bayer HealthCare, Leverkusen, Germany). Triglyceride levels were measured with Triglyceride Reagent (Sigma, Steinheim, Germany) according to manufacturers' instructions. Values were corrected for free glycerol using Free Glycerol Reagent (Sigma).

Hepatic triglycerides

Hepatic triglyceride content was determined by an enzymatic assay (Randox, Crumlin, United Kingdom) after chloroform/methanol extraction according to manufacturers' instructions.

Genotyping

DNA was prepared from mouse tails with a DNA isolation kit based on a salt precipitation method (InViTek, Berlin, Germany). Animals were genotyped for polymorphic microsatellite markers (Table S1) by PCR with oligonucleotide primers obtained from MWG (Ebersberg, Germany), and microsatellite length was determined by non-denaturing polyacrylamide gel electrophoresis. Genotyping of SNPs was performed by sequencing.

Sequencing

Sequencing of DNA was performed with a 3130xl Genetic Analyzer (Applied Biosystems, Darmstadt, Germany) using the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems). Sequence analysis was done by SeqScape software 2.5 (Applied Biosystems).

Quantitative real-time PCR

Total RNA from epididymal mouse white adipose tissue was isolated with the RNeasy Lipid Tissue Mini Kit (QIAGEN, Hilden, Germany) according to manufacturers' instructions. Total RNA from liver and skeletal muscle was extracted with peqGOLD RNA Pure reagent (PeqLab Biotechnologie GmbH, Erlangen, Germany). First strand cDNA synthesis was prepared with 2.0 µg total RNA, random hexamer primer, and SuperscriptIII reverse transcriptase (Invitrogen, Carlsbad, CA). Quantitative real-time PCR was performed with an Applied Biosystems 7300 Real-time PCR system, with TaqMan Gene Expression Master Mix (Applied Biosystems), 25 ng cDNA, and TaqMan Gene Expression Assays (Applied Biosystems, Table S2).

RACE PCR

Rapid amplification of cDNA ends was performed with the FirstChoice RLM-RACE Kit (Ambion, Darmstadt, Germany) according to manufacturers' instructions.

Nuclear extract preparation and western blot analysis

Nuclear extracts were prepared from livers of NZO, SJL, and C57BL/6 mice as described previously [34] and analyzed by western blotting [35] with an affinity purified polyclonal antibody raised against a Zfp69-specific peptide (KRQEGNKLENPESS).

Analysis of human ZNF642 mRNA expression in subcutaneous and visceral adipose tissue

Paired samples of subcutaneous and visceral adipose tissue were obtained from 98 Caucasian men and women, 31 individuals with type 2 diabetes and 67 with normal glucose tolerance test, who underwent open abdominal surgery for weight reduction surgery, cholecystectomy, abdominal injuries, or explorative laparotomy. 19 individuals were lean as defined by a BMI<25 kg/m2 and 79 subjects were overweight or obese (BMI>25 kg/m2). Samples were immediately frozen in liquid nitrogen after sampling. All subjects gave written informed consent before taking part in the study which was approved by the ethics committee of the University of Leipzig.

Total RNA was isolated from adipose tissue samples with TRIzol (Life Technologies, Grand Island, NY), and 1 µg RNA was reverse transcribed with standard reagents (Life Technologies). Human ZNF642 gene expression was measured by quantitative real-time RT-PCR in a fluorescent temperature cycler by TaqMan assay. From each RT-PCR, 2 µl cDNA as well as 1 µl of primer/probe mixture (MWG) was amplified in a 20 µl PCR with the Universal Master Mix Reagent from Applied Biosystems according to the manufacturers' instructions. Samples were incubated in an ABI PRISM 7000 sequence detector (Applied Biosystems) for an initial denaturation at 95°C for 10 min, followed by 40 PCR cycles, each cycle consisting of 95°C for 15 s, 60°C for 1 min, and 72°C for 1 min. The following primers were used: human ZNF642; left primer: CAT GGA TGG CAG AGA AAG AAG; right primer: GCT CCT GTG AAA TGG TAC TC; dual-labeled probe: CCA GGA GAT CCC AGT TCA GAC TTG A. The 18sRNA served as endogenous control and was determined by a premixed assay on demand for human 18S rRNA (ABI). Human ZNF642 mRNA expression was calculated using the Delta CT method [36].

Statistical analysis

Means of body weights, blood glucose, and insulin levels of the backcross (Figure 2) and intercross progeny (Figure S1, Figure S6) were compared by ANOVA (post-hoc tests: Dunnett's or Games-Howell test, depending on the homogeneity of variances) after testing for homogeneity of variances by Levene's test. Blood glucose values were log-transformed before the analysis. Differences between B6/B6 and SJL/SJL genotypes (Figure 6, Figure S5) were tested by two-tailed Student's t-test. Expression levels determined by quantitative real-time PCR were compared by the nonparametric Kruskal-Wallis H-test (Figure 4, Figure S3).

Supporting Information

Figure S1

Diabetic hyperglycaemia and diabetes-associated growth retardation in male (NZOxB6.SJL-Nidd/SJL)F2 mice carrying the SJL allele of Nidd/SJL on the NZO background. After weaning, mice were kept on a high-fat diet (15% (w/w) fat, 47% carbohydrates, 17% protein), and blood glucose and body weight were monitored weekly. Only mice carrying the complete Nidd/SJL locus or the corresponding NZO allele were included in the experiment. (A) Time course of non-fasted blood glucose. Data represent means±SE of 34, 70, and 110 homozygous (for SJL allele), heterozygous, and control mice, respectively. (B) Time course of body weight gain. Means±SE of the same number of animals as in A.

(0.19 MB TIF)

Figure S2

Localisation of SNPs and microsatellite markers used for fine mapping of the critical interval as defined by the backcross animals N2-III and N2-IV carrying the segments III and IV. Yellow colour depicts heterozygosity for the SJL allele. The critical interval is highlighted by the red frame.

(0.44 MB TIF)

Figure S3

Relative expression of genes located in the critical interval of Nidd/SJL. mRNA levels in epididymal adipose tissue were determined by quantitative RT-PCR, and data were normalized for values obtained from B6. mRNA of Col9a2 and Tmco2 was not detectable after 35 PCR cycles. Data are means±SD of 5 mice in each group.

(0.12 MB TIF)

Figure S4

Weight gain and postabsorptive blood glucose in B6.V-Lepob mice with or without the Zfp69SJL allele. After weaning, male homozygous B6-ob/ob.SJL-Nidd/SJL (SJL/SJL) mice and obese controls (B6/B6) were kept on a high-fat diet, and body weight (A) and 6 h fasting blood glucose (B) was monitored weekly. (A) Data represent means±SE of 26, 36, and 21 homozygous (SJL/SJL), heterozygous, and control mice (B6/B6), respectively. (B) Data represent means±SE of 14 homozygous (SJL/SJL) and 15 control mice (B6/B6).

(0.18 MB TIF)

Figure S5

Fat depots and liver triglycerides in B6.V-Lepob mice with or without the Zfp69SJL allele. Liver weights and weights of gonadal (epididymal), subcutaneous, and mesenteric adipose tissue were determined in 8 weeks old homozygous B6-ob/ob.SJL-Nidd/SJL (SJL/SJL) and obese control mice (B6/B6). Data represent means±SE of 6 (SJL/SJL) and 8 (B6/B6) mice.

(0.12 MB TIF)

Figure S6

Interaction of the variant Zfp69 and Tbc1d1 alleles in a backcross of NZO with SJL. Blood glucose (A) and immunoreactive insulin (B) was determined in 10 weeks old male (NZOxSJL)N2 progeny (N = 207) that were stratified according to the indicated genotype. The SJL allele of Tbc1d1 represents a loss-of-function variant and enhances fatty acid oxidation in muscle (16); the SJL allele of Zfp69 reduces fat storage in gonadal adipose tissue (Figure 6C).

(0.20 MB TIF)

Table S1

Microsatellite markers for genotyping of the Nidd/SJL locus.

(0.04 MB DOC)

Table S2

TaqMan Gene Expression Assays (Applied Biosystems).

(0.04 MB DOC)

Table S3

Presence (+) or absence (−) of the IAPLTR1a retrotransposon in the Zfp69 gene of different mouse strains.

(0.04 MB DOC)

Acknowledgments

The authors are grateful to Anne Jörns (Hannover) for help with the immunohistochemistry of pancreas sections and to Katja Schmolz for data from a (NZOxNZB)F2 intercross. The expert technical assistance of Elvira Steinmeyer, Elisabeth Meyer, Monika Niehaus, and Anne Karasinsky is gratefully acknowledged.

Footnotes

The authors have declared that no competing interests exist.

The study was supported by grants from the European Union (EUGENE2 LSHM-CT-2004-512013, www.eugene2.com) and the German Bundesministerium für Bildung und Forschung (NGFN-Plus 01GS0821 and NGFN2 01GS0487, www.bmbf.de). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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