Both obesity and type 2 diabetes (T2D)1 are global public health problems, and their prevalence will increase dramatically over the coming decades. The rise in obesity has been matched by a rise in diabetes in all ethnic groups in the United States (1). The Third National Health and Nutrition Examination Survey (2) found that approximately two thirds of adult men and women in the United States diagnosed with T2D have a BMI of
27 kg/m2. It is well known that a core characteristic of patients with obesity and T2D is an increase in insulin resistance, while many studies have indicated that intramyocellular accumulation of triglycerides is a major contributor to insulin resistance (3). Interestingly, mitochondrial dysfunction may predispose an individual to intramyocellular lipid accumulation. However, because of the limited protein-coding capacity of mitochondria, the initiation and regulation of mitochondrial biogenesis rely heavily on
1000 nuclear-encoded mitochondrial regulatory proteins (4). The majority of mitochondrial proteins are nuclear encoded, synthesized in the cytosol, and are post-translationally imported into mitochondria. Therefore, most inherited mitochondrial diseases are reported to be caused by mutations in nuclear-encoded mitochondrial genes.
Among a large number of reactions occurring in mitochondria, probably the most impressive of these is oxidative phosphorylation, in which five multisubunit complexes cooperate to generate most of the cell's energy. Among them, the ubiquinol-cytochrome c reductase complex or complex III is an oligomeric enzyme that catalyzes transfer of electrons from coenzyme QH2 to ferricytochrome c with the coupled translocation of protons across the mitochondrial inner membrane (5). The bovine heart mitochondrial complex III has been well characterized and is composed of 11 subunits, including 10 nuclear-encoded subunits and 1 mitochondrial-encoded subunit (6). In this study, we determined genomic organization of the bovine ubiquinol-cytochrome c reductase core protein I (UQCRC1), a nuclear-encoded component, and developed four genetic markers in its promoter region. Statistical analysis using a general linear model (GLM) and quantitative transmission-disequilibrium test (QTDT) revealed that promoter polymorphisms are significantly associated with both subcutaneous fat depth (SFD) and skeletal muscle lipid accumulation (SMLA) in Wagyu
Limousin F2 cross cattle. The result implies that genetic polymorphisms in UQCRC1 gene might explain some cases of obesity in humans.
The cDNA sequence of the bovine UQCRC1gene was cloned 16 years ago (7). Alignment between the cDNA (NM 174629) and its genomic DNA contig (AAFC03053028) retrieved from the bovine whole genome shotgun sequence indicated that, like its human ortholog, the bovine gene consists of 13 exons (Figure 1A). Screening of genetic polymorphisms on six Wagyu
Limousin F1 bulls detected four single nucleotide polymorphisms (SNPs) in the promoter region: AAFC03053028.1:g.13487C>T, g.13671T>C, g.13709G>C, and g.13725A>G, respectively. The minor alleles among these four SNPs are T, T, C, and A, with a frequency of 0.299, 0.297, 0.299, and 0.079, respectively. Sequencing on
250 F2 progeny indicated that all four SNPs fall into Hardy-Weinberg equilibrium (p > 0.05).
Figure 1:.
Genomic organization of the bovine UQCRC1 gene and haplotype analysis of its promoter polymorphisms. (A) The bovine gene contains 13 exons and 12 introns. The size of each exon is as follows: exon 1, 84 bp (including 5' untranslated region); exon 2, 141 bp; exon 3, 87 bp; exon 4, 130 bp; exon 5, 199 bp; exon 6, 80 bp; exon 7, 116 bp; exon 8, 144 bp; exon 9, 161 bp; exon 10, 86 bp; exon 11, 89 bp; exon 12, 76 bp; exon 13, 191 bp (including 3' untranslated region). The size of each intron is as follows: intron 1, 251 bp; intron 2, 1708 bp; intron 3, 1057 bp; intron 4, 183 bp; intron 5, 530 bp; intron 6, 1950 bp; intron 7, 211 bp; intron 8, 170 bp; intron 9, 92 bp; intron 10, 294 bp; intron 11, 304 bp; intron 12, 434 bp. (B) Pairwise linkage disequilibrium relationship for four mutations is shown based on r2 measurements in percentage (e.g., r2 = 100% between g.13487C>T and g.13709G>C).
Full figure and legend (76K)Initial sequencing of the promoter region on six Wagyu
Limousin F1 bulls indicated that both g.13487C>T and g.13709G>C form two haplotypes: CG and TC. The HAPLOVIEW analysis on genotype data of all F2 progeny further confirmed the no historical recombination status between these two SNPs with a r2 value of 1 (Figure 1B) (8). Two markers, AAFC03053028.1:g.13671T>C and g.13725A>G, are still segregating in the population. In particular, the linkage was hardly detected between g.13725A>G and three other SNPs because of logarithm of the odds scores of <3.0. A total of four haplotypes among these four SNPs were identified in the population using the HAPLOVIEW program, including CCGG, TCCG, CTGG, and CCGA, with a frequency of 0.325, 0.299, 0.297, and 0.079, respectively.
Because both SNPs, g.13487C>T and g.13709G>C, have no historical recombination events in the population, three tagging SNPs, g.13487C>T, g.13671T>C, and g.13725A>G, were used in the association analysis. Overall, the F2 population had an average SFD of 1.001
0.457 (standard deviation) cm. Both GLM analysis and a QTDT revealed that only SNP g.13487C>T was significantly associated with SFD in the population (p = 0.0040 for GLM analysis and p = 0.0022 for QTDT; Table 1). The CC animals had 0.178 cm of SFD less than the TT animals and 0.170 cm less than the CT heterozygotes. Both TT and CT animals contained equal amounts of SFD, indicating that the allele T has a dominant effect over the allele C (Table 1).
Table 1 - Associations of UQCRC1 promoter polymorphisms with SFD and SMLA in a Wagyu
Limousin reference population.
Overall, all F2 progeny had an average marbling score of 5.916, which is a subjective, visual appraisal of the fat on a meat cut surface. The polymorphic site g.13487C>T showed an extremely significant association with the trait (p < 0.0001 for both GLM and QTDT; Table 1). Animals with the CC genotypes had marbling scores that were 0.624 and 0.559 lower than animals with TT and CT genotypes, respectively. Again, allele T is dominant to allele C, but by increasing the fat deposition in muscle. Interestingly, GLM analysis indicated marker 13671T>C approaching significance, but the QTDT further confirmed that this SNP was also significantly associated with SMLA (Table 1). The difference in marbling scores was 0.428 between TT and CC homozygotes, which also approaches the significance level (p = 0.0813). No significant association was observed between g.13725A>G and SMLA in the population (Table 1). In humans, the fat stored in muscle is classified into intramyocellular (IMCL) and extramyocellular (EMCL) lipid content. By definition, the muscle lipid accumulation measured by marbling score in this study would mostly represent the EMCL content, because the IMCL cannot be observed by unaided eyes. However, most methods for quantifying IMCL content, such as computed tomography, magnetic resonance imaging, magnetic resonance spectroscopy, and biochemical analysis cannot truly separate IMCL and EMCL (9). Furthermore, both IMCL and EMCL contents in human subjects are highly correlated with each other (r = 0.68) (10). Both measurements are also highly correlated with percent total body fat (r = 0.69 for IMCL and r = 0.66 for EMCL), BMI (r = 0.67 for IMCL and r = 0.68 for EMCL), visceral fat (r = 0.73 for IMCL and r = 0.86 for EMCL), and insulin-to-glucose ratio (r = 0.72 for IMCL and r = 0.68 for EMCL) (10). Nevertheless, how both IMCL and EMCL contribute to development of obesity in humans needs to be further determined.
As indicated above, the polymorphic site g.13487C>T was significantly associated with both SFD and SMLA in the population (Table 1), and it had no historical recombination with g.13709G>C (Figure 1B). Therefore, only two haplotype constructs, T-C-C-G and C-C-G-G—which are different at both g.13487C>T and g.13709G>C sites but the same at g.13671T>C and g.13725A>G sites—were used to study how these associated mutations affect promoter activities of the bovine UQCRC1 gene in three cell lines. Overall, the former construct produced higher promoter activities than the latter construct by 47%
in H1299 cells (p = 0.0073), 49%
in HCT116 cells (p = 0.0197), and 43%
in Cos7 cells (p = 0.0185; Figure 2 A–C). In H1299 cells, the average firefly luciferase activity was 28,133
2782 for the T-C-C-G haplotype and 19,146
1903 for the C-C-G-G haplotype (Figure 2A). In HCT116 cells, the former haplotype resulted in an average of 10,713
3046 relative luciferase units, whereas the latter haplotype yielded an average of 7183
1250 relative luciferase units (Figure 2B). Cos7 cells had the lowest promoter activities, but the difference between the two haplotypes was still significant (1627
208 for the T-C-C-G construct and 1140
167 for the C-C-G-G construct; Figure 2C).
Figure 2:.
Affects of haplotypes on promoter activity in the H1299 cells (A), HCT116 cells (B), and Cos7 cells (C).
Full figure and legend (99K)As indicated above, UQCRC1 encodes a subunit of mitochondrial respiratory complex III, which operates through a Q-cycle mechanism that couples electron transfer to generation of the proton gradient that drives adenosine triphosphate synthesis. Recent studies have shown that overexpression of UQCRC1 might affect mitochondrial morphology and/or physiology and, thus, cause mitochondrial dysfunction and diseases. In the Mecp2-null mouse, an animal model for Rett syndrome, Kriaucionis et al. (11) found that UQCRC1 was significantly up-regulated in early- and late-symptomatic brains. UQCRC1 overexpression correlated positively with symptom severity and with a significant increase in mitochondrial respiratory capacity and a reduction in respiratory efficiency. In humans, UQCRC1 was highly expressed in breast (74% ) and ovarian tumors (34% ) (12). In this study, we observed that the haplotype that produced the higher promoter activity was also associated with an increase of both SFD and SMLA in the cattle model. Compared with the C-G haplotype at g.13487C>T and g.13709G>C sites, the T-C haplotype yielded 43% to 49% more promoter activity (Figure 2). As well, the animals with the T-C haplotype had a marbling score that was 0.624 higher and 0.178 cm more SFD than the animals with the C-G haplotype (Table 1). Therefore, our study, for the first time, to our knowledge, provides evidence for a possible involvement of UQCRC1/complex III in the regulation of energy metabolism and balance.
Our previous study confirmed a conserved segment of
12 Mb from CLEC3B (C-type lectin domain family 3, member B) to ERC2 (ELKS/RAB6-interacting/CAST family member 2) between human chromosome 3p22.3-p14.3 and bovine chromosome 22q24 (13). Just recently, Harder et al. (14) found this region harbors quantitative trait loci for the persistency of fat yield and the persistency of milk energy yield in dairy cattle using 16 paternal half-sib families with a total of 872 bulls. The quantitative trait loci surround the lactotransferrin gene, whereas the UQCRC1 is located
2 Mb apart. Therefore, this could be another case to support the involvement of UQCRC1 gene in fat deposition and energy production. In addition to the UQCRC1 gene presented here, we found two other nuclear-encoded mitochondrial genes, mitochondrial transcription factor A and fatty acid binding protein 4, were associated with both beef marbling score and SFD in the same population of cattle (15, 16). The current human obesity gene map also displayed 48 genes that are nuclear-encoded mitochondrial genes (17). Overall, mutations in nuclear mitochondrial genes have been shown to lead to oxidative stress, neurodegenerative diseases, and metabolic disorders. Therefore, how nuclear-encoded mitochondrial genes relate to obesity and its related conditions need to be further addressed by the obesity research community.
Research Methods and Procedures
Animals
Development of a Wagyu
Limousin reference population was previously described (15). The Japanese Wagyu breed of cattle has been traditionally selected for high muscle lipid accumulation, whereas the Limousin breed has been selected for heavy muscle, which leads to low fat deposition in muscle. The difference in SMLA between these two breeds makes them very unique for mapping quantitative trait loci for obesity-related traits. Beef marbling score was a subjective measure of the amount of fat stored in the longissimus muscle based on U.S. Department of Agriculture standards (http://www.ams.usda.gov/LSG/stand/standards/beef-car.pdf). SFD was measured at the 12th to 13th rib interface perpendicular to the outside surface at a point three fourths the length of the longissimus muscle from its chine bone end. The marbling scores for SMLA ranged from 4 to 9.5 and SFD varied from 0.254 to 3.302 cm in the population.
Mutation Detection and Genotyping
A pair of primers (forward, 5'-GAAGGAAGGTACACCGGAAGGAATA-3'; reverse, 5'-TAAGGCAAATTGTGCATGGCTGTA-3') was designed to target the promoter region of the bovine UQCRC1 gene. Approximately 50 ng of genomic DNA each from six Wagyu
Limousin F1 bulls was amplified in a final volume of 10
L that contained 12.5 ng of each primer, 150
M deoxynucleoside triphosphates, 1.5 mM MgCl2, 50 mM KCl, 20 mM Tris-HCl, and 0.25U of Platinum Taq polymerase (Invitrogen, Carlsbad, CA). The polymerase chain reaction conditions were carried out as follows: 94 °C for 2 minutes, 35 cycles of 94 °C for 30 seconds, 60 °C for 30 seconds and 72 °C for 30 seconds, followed by a further 5-minute extension at 72 °C. Polymerase chain reaction products were sequenced on an ABI 3730 sequencer (Applied Biosystems, Foster City, CA) in the Laboratory for Biotechnology and Bioanalysis (Washington State University) using a standard protocol, and polymorphisms were identified. The same polymerase chain reaction product direct sequencing approach was also used to genotype the polymorphisms on
250 F2 progeny.
Data Analysis
The degrees of Hardy-Weinberg equilibrium within each marker and linkage disequilibrium plus haplotypes among different markers in the bovine UQCRC1 gene were estimated using the HAPLOVIEW program (8). The phenotypic data for both IMCL and SFD measurements have been previously adjusted for year of birth, sex, age (days), live weight (kilograms), or fat depth (centimeters), as appropriate. The adjusted phenotypes were used in a subsequent association analysis using the GLM procedure of SAS v9.1 (SAS Institute, Inc., Cary, NC). Pairwise comparisons of least squares means were performed using a protected t test. Additionally, the QTDT (18) was performed to further examine the association between markers and adjusted obesity-related phenotype data. p < 0.05 was considered statistically significant.
Promoter Activity Assay
The forward and reverse gene-specific primers described above were engineered with a 5'SacI and 3'HindIII site plus a 5' tail of CTTC, respectively, for directional cloning into the SacI/HindIII site of pGL3-basic (Promega, Madison, WI). Two types of haplotypes T-C-C-G and C-C-G-G were prepared for the promoter constructs. Human lung carcinoma H1299 cells, colorectal carcinoma HCT116 cells, and Simian kidney COS-7 cells were transfected with each of the recombinant pGL3 plasmids containing the constructs described above. pRL-CMV plasmid was also co-transfected into these cell lines as a transfection control. All cells were collected 48 hours after transfection, and firefly luciferase activities were measured with the Dual Luciferase Reporter Assay system according to the manufacturer's protocol (Promega). Light emission was quantified with a Multilabel Counter (1420 Victor 2; Wallace, Turku, Finland). Triplicate data were collected and were t tested for significance.
Notes
1 Nonstandard abbreviations: T2D, type 2 diabetes; UQCRC1, ubiquinol-cytochrome c reductase core protein 1; GLM, general linear model; QTDT, quantitative transmission-disequilibrium test; SFD, subcutaneous fat depth; SMLA, skeletal muscle lipid accumulation; SNP, single nucleotide polymorphism; IMCL, intramyocellular lipid content; EMCL, extramyocellular lipid content.
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Acknowledgments
The authors thank Michael MacNeil, United States Department of Agriculture–Agricultural Research Service, Miles City, MT, for providing DNA and data for this research. This work was supported by NIH Grant RO1 CA104470 to N.S.M. and the Merial Ltd. Animal Genomics Research Fund to Z.J.

