Open Access

Gene expression of vascular endothelial growth factor A and hypoxic adaptation in Tibetan pig

  • Bo Zhang1,
  • Yangzong Qiangba2,
  • Peng Shang1, 2,
  • Yunfeng Lu3,
  • Yuzeng Yang4,
  • Zhixiu Wang1 and
  • Hao Zhang1Email author
Journal of Animal Science and Biotechnology20167:21

DOI: 10.1186/s40104-016-0082-z

Received: 12 August 2015

Accepted: 22 March 2016

Published: 2 April 2016

Abstract

Background

Vascular endothelial growth factor A (VEGFA) can induce endothelial cell proliferation, promote cell migration, and inhibit apoptosis. These processes play key roles in physiological blood vessel formation and pathological angiogenesis.

Methods

In this study, we examined VEGFA gene expression in the heart, liver, and kidney of Tibetan pigs (TP), Yorkshire pigs that migrated to high altitudes (YH), and Yorkshire pigs that lived at low altitudes (YL). We used PCR and Sanger sequencing to screen for single nucleotide polymorphisms (SNPs) in 5ʹ-flanking DNA and exons of the VEGFA gene. Quantitative real-time PCR and western blots were used to measure expression levels and PCR products were sequenced.

Results

Results showed that the VEGFA mRNA and protein expression in heart, liver and kidney of TP was higher than that in YH and YL. In addition, the mRNA sequence of the pig VEGFA gene was conserved among pig breeds, and only five SNPs were found in the 5ʹ-flanking region of the VEGFA gene, the allele frequency distributions of the 5 SNPs were not significantly different between the TP, Yorkshire (YL), and Diannan small-ear (DN) pig populations.

Conclusion

In conclusion, the Tibetan pig showed high levels of VEGFA gene expression in several hypoxic tissues, which suggests that the VEGFA gene may play a major functional role in hypoxic adaptation.

Keywords

Gene expression Hypoxic adaptation Tibetan pig VEGFA gene

Background

VEGFA (also known as VEGF) is a major growth factor for endothelial cells. It promotes vascular permeability and angiogenesis by stimulating proliferation, migration, and survival of endothelial cells, as well as inhibiting apoptosis [13]. VEGFA ligand binding to VEGFRs upregulates expression of endothelial nitric oxide synthase (eNOS) and increases prostacyclin production in endothelial cells [4], and is strongly expressed in antiproliferative lesions from patients with severe primary idiopathic and secondary forms of pulmonary hypertension [5, 6]. In pig, the VEGFA gene maps to chromosome seven, comprises seven exons, and has one transcript.

Tibetan pig (TP) is indigenous to China and live primarily in semi-agricultural and semi-pastoral areas (average elevation: 2500–4300 m) in the Qinghai-Tibet Plateau of southwest China. The TP have adapted to harsh conditions such as hypoxia [79], which makes this species a good model for investigating molecular mechanisms of hypoxic adaptation.

Hypoxia is a potent inducer of VEGFA through regulation of hypoxia-inducible factors (HIFs). However, the function and mechanism for hypoxic adaptation in TP remain unclear. The objective of the present study was to detect expression of the VEGFA gene in different tissues including the heart, liver, and kidney from three groups of pigs living at different altitudes. This study should help elucidate the function of the VEGFA gene in hypoxic adaptation of Tibetan pig.

Methods

The experimental processes were approved by the animal welfare committee of the State Key Laboratory for Agro-biotechnology of China Agricultural University (Approval number XK257), and pig farming at Linzhi of Tibet is permitted and the field study does not involve endangered or protected species.

Experimental materials

Experiments were performed using pigs from three different populations: Tibetan pig from highlands (Linzhi, 3,000 m) (TP), Yorkshire pig that migrated to high altitude (Linzhi, 3,000 m) (YH), and Yorkshire pig raised at lowland (Beijing, 100 m) (YL). Animals in the YH group were descended from a population of Yorkshire pigs that migrated from lowland to highland approximately 3 yr ago. Ten castrated boars from each population were slaughtered when they were 6 mo of age. Tissue samples were collected from the liver, heart, and kidney and were immediately frozen in liquid nitrogen. Samples were then stored at -80 °C.

Ear tissue samples were collected from three pig populations: YL from the Beijing Shunxinlong Farm (n = 30), TP from Linzhi, Tibet of China (n = 60), and Diannan small-ear (DN) from Xishuang Banna, Yunnan of China (n = 40). The samples were immediately frozen and stored at -20 °C.

DNA, RNA, and protein extraction and cDNA preparation

Genomic DNA was isolated from ear tissue as previously described [10], dissolved in TE solution, and stored at -20 °C.

Total RNA was extracted from the heart, liver, and kidney with TRIZOL® Reagent (Invitrogen, San Diego, CA, USA), checked for concentration and purity using a NanoDrop 2000 Biophotometer (Thermo Fisher Scientific Inc., West Palm Beach, FL, USA), and separated by electrophoresis in a 1 % agarose gel to verify integrity. After treatment with DNase I, 2 μg of RNA in a 20 μL reaction volume was reversely transcribed into cDNA using a SuperRT cDNA Kit (CWBIO Ltd., Beijing, China).

Total protein was isolated from the heart, liver, and kidney using SDS Lysis Buffer (P0013B, Beyotime Ltd., China). Protein content was measured with the enhanced BCA protein assay kit (P0010, Beyotime, Ltd., China).

SNP screening and genotyping

Primers for identification of SNPs in the VEGFA gene (NM_214084) were based on DNA sequence obtained using the UCSC BLAT Search Genome tool (http://genome.ucsc.edu/). We used the amplified pig mRNA sequence and Primer Premier 5.0 software to design primers that amplified the coding regions (exons 1 to 7) and 5ʹ-flanking sequences of the gene. The targeted regions, primer sequences, and amplicon sizes are shown in Table 1. PCR products amplified from 10 pigs in each group were pooled and sequenced to identify SNPs. Chromas Pro and DNAMAN6.0 were used to analyze the sequencing data. Genotypes of SNPs found by pooling sequencing were determined with individual PCR and sequencing.
Table 1

Target region, sequence, and amplicon size of the primers used for SNP identification

Primer

Target region

Forward primer sequence (5ʹ to 3ʹ)

Reverse primer sequence (5ʹ to 3ʹ)

Amplicon size, bp

5ʹ- FR1

−1902/−2693

AGTGACTGGCTCCTGTTCTC

CCTGGGTAGAAGTATTTGGC

791

5ʹ- FR2

−2193/−1902

CGTTCCTTAGTGCTGGTGAG

AAAGTGAGGTTATGTGCGGC

843

5ʹ- FR3

−1546/−631

GTGTGTCTGGGTGTGTGTGG

TCCCTCTCGTTTCTTGCTTGC

915

5ʹ- FR4

−654/+53

GGGCAAGCAAGAAACGAGA

AGGTAGAGCAGCAAGGCAA

707

VEGFA-P1

Exon1

GAGGAGGAAGAAGAGAAGGAAG

CATGTACGAGGATAGAGGGGAA

472

VEGFA-P2

Exon2

CCATTCTTCCCTCTTTGTTTTGTC

TTTGTTTTCCCAGTCTGTGCTCA

367

VEGFA-P3

Exon3

GGCCGGCCCCCTCTACAG

AACGGGCTTTTTAAACTCTCCACA

630

VEGFA-P4

Exon4-5

CCTGGTCTGTGGAGAGTTTA

AGTGGGTAGAGAAAGAGAAA

872

VEGFA-P5

Exon6

CTGCCGCTCTCTCTTGTCTTCTGC

AGCCACGCCTGCCACCTG

564

VEGFA-P6

Exon7

CGTAGGGACTCTTCTTTGGT

CTCGGCTTGTCACATCTGC

313

Quantitative analysis of VEGFA mRNA expression

To avoid genomic DNA contamination, we used Primer Premier 5.0 software to design VEGFA gene (NM_214084) primers that amplified products spanning an intron. The primers were 5ʹ-GAGGAGTTCAACATCGCCAT-3ʹ and 5ʹ-GAGGAGTTCAACATCGCCA-3ʹ. We used the housekeeping gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH, NM_001206359) as the internal standard and the primers were 5ʹ-GGTCACCAGGGCTGCTTTTA-3ʹ and 5ʹ-CCTTGACTGTGCCGTGGAAT-3ʹ. Quantitative real-time PCR (qRT-PCR) was conducted on the Bio-Rad CFX96 System (Bio-Rad, USA). Each reaction mixture contained 10.0 μL 2× SYBR Green qPCR SuperMix (Transgen, Beijing, China), 1.0 μL cDNA, 0.5 μL of each primer (10.0 nmol/μL), and ddH2O water to adjust the volume to 20.0 μL. The real-time PCR program started with denaturation at 95 °C for 20 s. This was followed by 40 cycles of denaturation at 95 °C for 5 s and annealing/elongation at 60 °C for 15 s, during which fluorescence was measured. Next, a melting curve was constructed by increasing the temperature from 65 °C to 95 °C in sequential steps of 0.5 °C for 5 s, during which fluorescence was measured. The real-time PCR efficiency of each pair of primers was calculated using 5 points in a 5-fold dilution series of cDNA, which was used to construct a standard curve. A cDNA pool of all samples was used as a calibration and three replications of each sample were performed. Gene expression levels were calculated using the 2-Ct method (Ct = Ct target gene - Ct housekeeping gene) as previously described [11].

Western blotting

Approximately 30 mg of each tissue used in quantitative real-time PCR was homogenized in lysis buffer (10 mmol/L NaH2PO4, 1 mmol/L EDTA, 10 mmol/L β-mercaptoethanol, 0.25 % Triton X-100, and 0.02 % NaN3, adjusted to pH 6.8). Tissues were homogenized using a Mixer Mill MM400 (Retsch, Germany) for 5 min and then centrifuged at 10,000 × g for 10 min at 4 °C. Protein concentrations were determined using a Protein Assay Kit (Bio-Rad). Proteins (40 μg) were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) using a 5 % stacking gel and a 10 % separating gel. Following electrophoresis, proteins were transferred to Immobilon-P Transfer Membranes (IPVH00010) for 2 h at 300 mA using a Bio-Rad Criterion Blotter. Membranes were blocked overnight in blocking buffer (P0023B, Beyotime Ltd., China) and then incubated with primary mouse monoclonal GAPDH (1:1,000 dilution, AG019, Beyotime Ltd., China), and VEGFA (1:500 dilution, LS-C2929, LifeSpan BioSciences, Seattle, WA) antibodies diluted in primary antibody dilution buffer (P0023A, Beyotime Ltd., China) at 4 °C for 2 h. After 3 washes with PBST(phosphate buffer saline containing 0.1 % Tween 20), membranes were incubated with secondary HRP-labeled goat anti-mouse IgG (H + L) (1:1,000 dilution, A0216, Beyotime Ltd., China) antibody diluted in secondary antibody dilution buffer (P0023D, Beyotime Ltd., China) for 1 h. After the membranes were washed 3 times in Tris-buffered saline with Tween for 30 min, immune complexes were visualized using an eECL Western Blot Kit (CW0049A, CWBIO Ltd., China) according to the manufacturer’s instructions. To determine expression ratios of VEGFA and GAPDH, western blots were analyzed using Image J 1.44 software (NIH, USA).

Cell culture

Cell culture reagents were obtained from GIBCO (Life Technologies, Lofer, Austria). PIEC (KG302, KeyGEN BioTECH, China) were cultured according to the manufacturer’s instructions. Experiments were performed using two incubators. For normoxia treatments, one incubator (Thermo Fisher Scientific Inc., West Palm Beach, FL, USA) was set at 37 °C and 5 % CO2; the incubator oxygen sensor indicated approximately 21 % O2. Cells were cultured under normoxic conditions for 2, 4, 8, 12, 24, or 36 h. For hypoxia treatments, an incubator (3 gas incubator, Changsha Hua Xi Electronics Technetronic Co., Ltd., China) was set at 37 °C, 5 % CO2, and 94 % N2; the oxygen sensor indicated approximately 1 % O2. Cells were cultured under hypoxic conditions for 2, 4, 8, 12, 24, or 36 h. Cells were collected after the indicated durations in culture and total RNA extraction, cDNA synthesis and qTR-PCR were performed as described above.

Statistical analyses

Expression levels were analyzed by one-way ANOVA using SAS9.1 Software (SAS Inst. Inc., Cary, NC). Graphs were prepared using SigmaPlot 10.0 (Systat Software, San Jose, CA) and data are presented as mean ± standard error. Significant and extreme differences were set at P < 0.05 (*) and P < 0.01 (**), respectively.

Results

SNPs and genotype frequencies

The structure of the pig VEGFA gene and the positions of the primers used for SNP identification are shown in Fig. 1. Using the primers listed in Table 1, the PCR amplicons covered 2,693 bp of the 5ʹ-flanking and full-coding regions (all 7 exons). No SNPs were detected in the coding region of the VEGFA gene among the TP, YL, and DN populations. Sanger sequencing revealed 5 SNPs at upstream 2,435, 2,442, 2,745, 1,010, and 1,773 bp from the initiation codon of the VEGFA gene that were named G-2745C, G-2442A, G-2435deletion, T-1010C and C-1773 T respectively (Fig. 2).
Fig. 1

Structure of the pig VEGFA gene and the positions of primers used for SNP identification. The thick black lines represent flanking regions and introns; the grey blocks represent exons of the VEGFA gene; the thin black lines represent positions of amplicons. Pig total DNA was used as PCR templates for the 5ʹ-FR1, 5ʹ-FR2, 5ʹ-FR3, 5ʹ-FR4, VEGFA-P1, VEGFA-P2, VEGFA-P3, VEGFA-P4, and VEGFA-P5 primers

Fig. 2

Sequencing chromatograms of 5 SNPs: G-2442A, G-2435 deletion, G-2745C, T -1010C, and C-1773 T. Chromatogram of the PCR product amplified using the 5ʹ-FR1 primer set (Table 1) shows the 3 identified SNPs G-2442A, G-2435 deletion, and G-2745 C. The 5ʹ-FR2 primer set (Table 1) shows SNP C-1773 T. The 5ʹ-FR3 primer set (Table 1) shows SNP T-1010C. YL = Yorkshire pig (n = 30), DN = Diannan small-ear pig (n = 40), TP = Tibetan pig (n = 60)

Individual sequencing analysis indicated genotype and allele frequencies of the 5 SNPs in the 3 pig populations (Table 2). No significant differences in genotypes distributions at loci G-2745C, G-2442A, and G-2435deletion were seen comparing TP with YL or DN (P > 0.05). Although the TP had a different genotype distribution in T-1010C with the DN, the difference between TP and YL was not significant (P > 0.05). At locus C-1773 T, there were significant differences in genotype frequency comparing TP with YL or DN; however, the allele C frequency of TP was between YL and DN.
Table 2

Gene and genotype frequency of the 5 SNPs in different pig breeds

Loci

Breed

Genotype (number/percentage)

Allele

  

GG

GC

CC

P value* (Fisher’s exact test)

G

C

G-2745C

YL

10/1

0/0

0/0

0.237

1

0

DN

10/1

0/0

0/0

0.237

1

0

TP

8/0.800

2/0.200

0/0

 

0.900

0.100

  

GG

GA

AA

 

G

A

G-2442A

YL

10/1

0/0

0/0

0.500

1

0

DN

9/0.900

1/0.1

0/0

0.763

0.950

0.050

TP

9/0.900

1/0.1

0/0

 

0.950

0.050

  

GG

G-deletion

Deletion

 

G

Deletion

G-2435 deletion

YL

8/0.889

1/0.111

0/0

0.474

0.940

0.060

DN

7/0.700

0/0

3/0.300

0.105

0.700

0.300

TP

10/1

0/0

0/0

 

1

0

  

TT

TC

CC

 

T

C

T-1010C

YL

35/0.875

5/0.125

0/0

0.342

0.938

0.062

DN

40/1

0/0

0/0

0.010

1

0

TP

16/0.8

4/0.2

0/0

 

0.900

0.100

  

CC

CT

TT

 

C

T

C-1773 T

YL

1/0.034

7/0.233

22/0.733

0.000

0.150

0.850

DN

36/1

0/0

0/0

0.001

1

0

TP

14//0.700

4/0.200

2/0.100

 

0.800

0.200

Note: *P value was significance of the exact test for genotype frequency distribution compared with TP. YL = Yorkshire pig (n = 30), DN = Diannan small-ear pig (n = 40), TP = Tibetan pig (n = 60)

VEGFA mRNA expression

PCR efficiencies of VEGFA and GAPDH genes were within 95 to 105 % that was satisfied for qRT-PCR. Expression of VEGFA mRNA is shown in Fig. 3. We found that expression of VEGFA mRNA was relatively high in the liver and kidney, but low in the heart. Moreover, under hypoxic conditions, expression of VEGFA mRNA in all three tissues was significantly higher in TP than in YH and YL (P < 0.01). Following migration of Yorkshire pigs from lowland to highland, expression of VEGFA mRNA increased in the kidney (P < 0.05), but trended downward in the liver.
Fig. 3

Expression of VEGFA mRNA in the heart (a), liver (b), and kidney (c). Each bar represents mean ± S.E. * Significant difference (P < 0.05), ** Extreme significant difference (P < 0.01). TP = Tibetan pig (n = 10); YH = Yorkshire pig raised at high-altitude (n = 10); YL = Yorkshire pig raised at lowland (n = 10)

VEGFA protein expression

Results western blot showed that the VEGFA protein expression had same difference trends in heart, liver and kidney with mRNA expression between the three groups (Fig. 4). The protein expression was significantly higher in heart and liver of TP than that of YH and YL (P < 0.05). While in kidney tissue, the TP had higher VEGFA protein expression than YL (P < 0.05) and YH, although the difference between TP and YH was not significant (P > 0.05).
Fig. 4

Expression of VEGFA proteins in the heart (a), liver (b), and kidney (c). Each bar represents mean ± S.E. * Significant difference (P < 0.05), ** Extreme significant difference (P < 0.01). TP = Tibetan pig (n = 10); YH = Yorkshire pig raised at high-altitude (n = 10); YL = Yorkshire pig raised at lowland (n = 10)

VEGFA gene expression in PIEC cells

Expression of VEGFA mRNA in endothelial cells is shown in Fig. 5. At all time points, expression of VEGFA mRNA in vitro was higher under hypoxic condition than under normoxic condition (P < 0.05). Under both normoxic and hypoxic conditions, expression of VEGFA mRNA had an increased trend after 4 h over time.
Fig. 5

Quantitative expression of VEGFA mRNA in endothelial cells. Each bar represents mean ± S.E. * Significant difference (P < 0.05), ** Extreme significant difference (P < 0.01) (n = 3)

Discussion

VEGFA is a pivotal angiogenic factor that binds to specialized receptors on the surface of endothelial cells and induces them to generate new vessels [12]. VEGFA expression was modulated by HIF-1 through binding to promoters of hypoxia response elements (HREs) [13, 14].

We found 5 SNPs in the VEGFA gene. TP, as well as the other pig breeds, exhibited relatively large polymorphisms at the 5 loci, although the distinction between frequency distributions was not significant. No SNPs were detected in the coding region of the VEGFA gene. The mRNA sequence of VEGFA was highly conserved among pig breeds, which is consistent with previous studies showing that both the mRNA sequence and protein domain of human VEGFA gene were conserved [15]. Thus, the biological function of VEGFA is primarily regulated by controlling its expression. The results also indicated that there might be other regulatory mechanisms (for example of epigenetic regulation) in the region or functional SNPs in long-distance regions. It was a pending work what SNPs or what other regulatory mechanisms could regulate the gene expression and have roles on hypoxic adaptation in Tibetan pig.

The heart plays an important role in adaptation to hypoxia. It has been reported that decreased cardiac VEGFA signaling interferes with myocardial angiogenesis. This results in local ischemia, which triggers cardiomyocyte damage and heart failure [16, 17]. In the present study, VEGFA expression in heart tissue was significantly higher in TP compared with Yorkshire under hypoxia at high altitudes. To adapt to a hypoxic environment, TP increased expression of the VEGFA gene in vivo and changed their cardiovascular response to hypoxia. The increased VEGFA expression might increase blood flow and enhance cardiac pumping [18, 19].

In the early phase of liver regeneration, proliferating hepatocytes showed hypoxia-induced VEGFA expression, which initiates proper blood flow through the liver [20]. Our results consistently showed that expressions of VEGFA mRNA and protein in liver were significantly higher in TP than in YH and YL, which indicated that the TP might improve blood flow in liver tissue to adapt to hypoxia.

VEGFA plays a crucial role in the kidney, where it is produced primarily by glomerular epithelial cells (podocytes) and is also found in epithelial cells [21, 22]. In mice, specific overexpression or deletion of the VEGFA gene in podocytes results in glomerular dysfunction [23, 24]. Moreover, VEGFA acts as an autocrine growth factor on both proliferating and differentiating glomerular visceral epithelial cells (podocytes) [24] and has roles in prolonged survival and resistance to apoptosis [25]. In the present study, TP showed a high expression level of the VEGFA gene, suggesting that VEGFA plays a pivotal role in the maintenance of glomerular integrity under hypoxia in the kidneys of pigs.

Conclusion

We found that the mRNA sequence of the pig VEGFA gene was conserved among pig breeds, which indicated the biological function of the gene was primarily regulated by differential expression. Only five SNPs (G-2745C, G-2442A, G-2435deletion, C-1773 T and T-1010C) were found in the 5′-flanking region of length of 2693 bp upstream from the initiation codon of the VEGFA gene among the TP, YL, and DN populations. However, further studies are required to identify the site that can regulate the gene expression in pig. The Tibetan pig had considerably high expressions of the VEGFA gene in heart and liver tissues in high-altitude environment. The increased VEGFA expression might be one way of genetic adaptation to hypoxia in high-altitude, through promoting endothelial cells proliferation, angiogenesis and maintaining vascular permeability. Further research on molecular mechanisms of the VEGFA for hypoxic adaptation was a pending work in Tibetan pig.

Abbreviations

DN: 

Diannan small-ear pig

eNOS

endothelial nitric oxide synthase

HIF-1α

hypoxia-inducible factor 1α

HREs: 

hypoxia response elements

PIEC: 

pig iliac endothelial cells

qRT-PCR: 

quantitative real-time PCR

SDS-PAGE: 

sodium dodecyl sulfate polyacrylamide gel electrophoresis

SNPs: 

single nucleotide polymorphisms

TP: 

Tibetan pig

VEGFA

vascular endothelial growth factor A

VEGFR-1

VEGF receptor 1

VEGFR-2

VEGF receptor 2

YH: 

Yorkshire pigs that migrated to high altitudes

YL: 

Yorkshire pigs that lived at low altitudes

Declarations

Acknowledgments

This work was supported by the National Major Special Project on New Varieties Cultivation for Transgenic Organisms (2016ZX08009-003-006) and the National Key Technology R&D Program (2012BAD03B03) and the Program for Changjiang Scholar and Innovation Research Team in University (IRT1191).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
National Engineering Laboratory for Animal Breeding, China Agricultural University
(2)
College of Agriculture and Animal Husbandry, Tibet University
(3)
School of life science & technology, Nanyang normal University
(4)
Hebei Provincial Husbandry and Veterinary Research Institute

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Copyright

© Zhang et al. 2016

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