Microarray profiling for differential gene expression in PMSG-hCG stimulated preovulatory ovarian follicles of Chinese Taihu and Large White sows
- Xiaojie Sun†1,
- Shuqi Mei†2,
- Hu Tao1,
- Guodong Wang1,
- Lina Su1,
- Siwen Jiang1,
- Changyan Deng1,
- Yuanzhu Xiong1 and
- Fenge Li1Email author
© Sun et al; licensee BioMed Central Ltd. 2011
Received: 6 October 2010
Accepted: 16 February 2011
Published: 16 February 2011
The Chinese Taihu is one of the most prolific pig breeds in the world, which farrows at least five more piglets per litter than Western pig breeds partly due to a greater ovulation rate. Variation of ovulation rate maybe associated with the differences in the transcriptome of Chinese Taihu and Large White ovaries. In order to understand the molecular basis of the greater ovulation rate of Chinese Taihu sows, expression profiling experiments were conducted to identify differentially expressed genes in ovarian follicles at the preovulatory stage of a PMSG-hCG stimulated estrous cycle from 3 Chinese Taihu and 3 Large White cycling sows by using the Affymetrix Porcine Genechip™.
One hundred and thirty-three differentially expressed genes were identified between Chinese Taihu and Large White sows by using Affymetrix porcine GeneChip (p ≤ 0.05, Fold change ≥ 2 or ≤ 0.5). Gene Ontology (GO) analysis revealed that these genes belonged to the class of genes that participated in regulation of cellular process, regulation of biological process, biological regulation, developmental process, cell communication and signal transduction and so on. Significant differential expression of 6 genes including WNT10B and DKK2 in the WNT signaling pathway was detected. Real-time RT-PCR confirmed the expression pattern in seven of eight selected genes. A search of chromosomal location revealed that 92 differentially expressed transcripts located to the intervals of quantitative trait loci (QTLs) for reproduction traits. Furthermore, SNPs of two differentially expressed genes- BAX and BMPR1B were showed to be associated with litter size traits in Large White pigs and Chinese DIV line pigs (p ≤ 0.1 or p ≤ 0.05).
Our study detected many genes that showed differential expression between ovary follicles of two divergent breeds of pigs. Genes involved with regulation of cellular process, regulation of biological process, in addition to several genes not previously associated with ovarian physiology or with unknown function, were differentially expressed between two breeds. The suggestive or significant associations of BAX and BMPR1B gene with litter size indicated these genetic markers had the potentials to be used in pig industry after further validation of their genetic effects. Taken together, this study reveals many potential avenues of investigation for seeking new insights into ovarian physiology and the genetic control of reproduction.
Reproductive traits are of primary interest in livestock because they play a major role in efficiency of production. Selection for increased number of offspring has been employed in pigs with only limited success because of its low heritability and sex-limited nature . Genetic characterization of litter size and its components (e.g. ovulation rate and embryo survival) will increase our understanding of the underlying physiology and could enhance genetic improvement through use of marker-assisted selection (MAS) . In the past several decades, the reproductive strategy of the Chinese Taihu pigs, a breed which farrows three to five more piglets per litter than American or European pig breeds, has come under intense scrutiny [3, 4]. The greater litter size at farrowing in multiparous Chinese Taihu sows is due, in part, to a greater ovulation rate, a greater embryonic survival, a lower fertilization failure rate, and a greater uterine capacity [5–7].
In order to isolate the factors controlling the component traits of litter size, the differentially expressed (DE) genes were characterized during conceptus transformation, in Meishan-Landrace conceptuses and endometrial tissue when compared with conventional Landrace sows, in the porcine endometrium between pregnant and non-pregnant sows, and in the Erhualian and Large White placenta [8–11]. Furthermore, DE genes were identified in porcine ovarian follicles of multiparous sows on 12 d to 14 d of the estrous cycle between a line of pigs selected for an index of ovulation rate and embryo survival and its randomly selected control line [2, 12]. However, the DE genes in Chinese Taihu and Large White preovulatory follicles remain unexplored.
To develop a broader view of the gene expression in preovulatory ovary and to identify the key genes involved in ovulation, we used Affymetrix microarrays to screen the genes differentially expressed in preovulatory follicles from Chinese Taihu and Large White sows simulated by hCG at 80 h after PMSG administration. Bioinformatics analysis has revealed these DE genes were involved in important biological processes such as reproduction and the DE genes were then in silico mapped to quantitative trait loci (QTL) regions related to reproduction traits. Real-time RT-PCR was used to confirm the expression profiles of various genes. And association analyses of two DE genes (BAX and BMPR1B gene) with litter size were carried out to screen the molecular markers for litter size. This research identified candidate genes, molecular markers and pathways associated with ovulation rate, and gained a further insight into the genetic basis of the prolificacy of Chinese Taihu pigs.
Expression profiling experiments of Large White and Chinese Taihu ovary follicles were conducted by a commercial Affymetrix Porcine Genechip including 24,123 probe sets, which represent 23,999 transcripts and 124 controls. The transcriptome of ovarian follicles from Chinese Taihu sows was determined, and 23,921 probe sets were identified to have expression in the ovary follicles. Expression was detected for 16,066 transcripts (67.16% of all probe sets) in Large White ovarian follicles. A total of 15,477 transcripts (64.70% of all probe sets) were expressed in Chinese Taihu ovarian follicles (see additional file 1).
Differentially expressed (DE) gene analysis
Verification of gene expression pattern from microarray data by real-time RT-PCR
In silico mapping of DE genes to the interval of reproduction QTLs
Through BLAST of the 133 probes sets against Ensembl Sus_scrofa database (Sscrofa9, Apr 2009), 116 differentially expressed probes sets (transcripts) were in silico mapped pig chromosome covering 1-18 and X (see additional file 3). Ninety-two DE transcripts were located to porcine reproduction QTL chromosomal regions (see additional file 4). One such gene is the pig BMPR1B gene, which was localized to chromosome 8 within the interval of QTLs for ovulation rate, number of corpora lutea, litter size and prenatal survival [13–17]. Another gene is Kit-ligand/stem cell factor gene, which was located in the QTLs region for ovulation rate and FSH level [18, 19].
BAX and BMPR1B as the candidate genes for litter size
Allele frequencies of BAX and BMPR1 B gene polymorphisms in 11 pig populations
No. tested pigs
Allele T frequency
No. tested pigs
Allele G frequency
Large White I
Large White II
It is reported that a proportionately greater increase in ovulation rate occurs in Chinese Taihu after they have experienced pregnancy than with European breeds . Using microarray expression profiling to identify changes in RNA levels resulting from genetic background, our studies revealed differential expression of 133 DE genes in ovarian follicle tissues at the preovulatory phase of the estrous cycle. Several genes not previously associated with the processes of follicle maturation or ovulation, were differentially expressed in follicle pools of the Large White and Chinese Taihu sows. Moreover, 83 probes with BLASTN matches to gene sequences of known function in human and 38 probes with no database matches, were also identified as being differentially expressed.
Three DE gene pathways associated with p53 gene
WNT signaling pathway, p53 signaling pathway and Amyotrophic lateral sclerosis (ALS) were the major pathways including DE transcripts, and all of these three pathways are associated with p53 which was shown to promote apoptosis but not proliferation in ovarian granulosa cells [22, 23].
The first evidence of the important role of WNT signaling in the ovary was provided by Vainio et al., which demonstrated that WNT4 mutant mice lost most of their oocyte reserve in the days prior to birth . In the present study, six genes (p53, WNT10B, TCF12, DKK2, CTNNBIP1, WIF1) involved in WNT signaling pathway were differentially expressed in Large White and Chinese Taihu sows. DKK2 acts as an antagonist of WNT signaling to induce endocytosis of the WNT-Fz receptor complex . CTNNBIP1 was found to negatively regulate WNT signaling via inhibition of the interaction between β-catenin and T cell factor (TCF) . Wnt inhibitory factor 1 (WIF1), a secreted antagonist that can bind to WNT proteins directly and inhibit WNT signaling pathway, was also differentially expressed (fold change > 2, p = 0.07).
Pathway analysis found that two DE genes (p53, BAX) were involved in p53 signaling pathway and Amyotrophic lateral sclerosis. The BCL-2 associated X protein (BAX) is a member of the BCL-2 protein family and functions as an accelerator of apoptosis. The regulatory activity of BAX in follicular endowment likely occurs during primordial germ cell (PGC) migration, prior to PGC colonization of the gonad .
Hormone related genes
Animal reproduction system is regulated by a suite of hormones. The serum hormone level of Chinese Taihu pigs was compared with the European in order to detect the mechanisms of high prolificacy of Chinese Taihu pigs. Chinese Taihu ovarian follicles tended to have a higher concentration of oestradiol in follicular fluid (p < 0.06) compared to Large White hybrids .
In our study, very limited hormone related genes were differentially expressed. One such gene encodes the caspase 8 associated protein 2 (CASP8AP2) which differentially suppresses steroid hormone receptor - induced transcriptional activity by interfering with their association with steroid hormone receptor coactivator 2 (SRC2)/N-CoA2 and SRC3/N-CoA3 . Another one encodes cysteine - rich angiogenic inducer 61 (CYR61) which was known to be responsive to estrogen or to interact with estrogen receptor . GALP gene encodes a member of the galanin family of neuropeptides and has been implicated in biological processes involving the central nervous system including hypothalamic regulation of metabolism and reproduction .
However, the well-known hormone related genes including estrogen receptor (ESR), follicle stimulating hormone (FSH-β) beta, retinol binding protein 4 (RBP4) genes had similar expressions in the two pig breeds. There are three major gene systems associated with follicular growth and ovulation: (1) IGF-1, estrogen and FSH gene, (2) the steroid receptors as well as orphan nuclear receptors and their ligands, and (3) the Wnt/Frizzled pathways . In our study, their expressions of the genes from the first two systems probably were normalized by PMSG-hCG, and the genes from the last system remained differentially expressed.
Positional candidate genes for female reproduction traits
Differentially expressed genes were in silico mapped to reproduction QTL regions. One of these genes is BMPR1B which played a pivotal role in bone formation during embryogenesis and fracture repair, and its mutation was associated with the increased ovulation rate of the Booroola sheep with FecB phenotype [33–35]. The pig BMPR1B gene was mapped to 108 cM on chromosome 8 , where the QTL for ovulation rate at approximately 105 cM, the QTL for number of corpora lutea at approximately 101 cM and 99 cM were reported to be located [13–15].
Another gene, the KIT gene encoding the transmembrane tyrosine kinase receptor KIT maps to the mouse W locus . Kit-ligand/stem cell factor induces primordial follicle development and initiates folliculogenesis . The pig KIT gene was located to 8p12-21, which is the same region as the QTL for ovulation rate at approximately 5 cM and for FSH level at approximately 12.4-11.1 cM [18, 19, 39].
Two DE genes mutations and their associations with litter size
Marker-assisted selection (MAS) in conjunction with traditional selection methods is most effective for the traits such as litter size, which are either expressed later in life, are sex-dependent, or are of low heritability . The candidate gene approach has led to notable success in demonstrating reproduction-related genetic markers or major genes, such as ES R, the erythopoietin receptor (EPOR), the prolactin receptor (PRLR), FSH-β and RBP4[1, 5, 41–43]. Differentially expressed transcripts also can be evaluated as potential candidates if they meet the following criteria: the chromosomal location to a region containing a QTL, the importance of the tissue of interest in regulating the expression of the specific quantitative trait, and the critical developing stage responsible for the differences in the specific quantitative trait .
Here we selected the differentially expressed genes- BAX and BMPR1B as the candidate genes for litter traits due to their chromosomal location and/or their biological function. Some mutations were genotyped in several Chinese native pig breeds and Western pig breeds, and the results showed allele BAX C and BMPR1B C were fixed in several tested pig populations including Huainan, Tongcheng, Landrace, Duroc, White Duroc and Pietrain pigs. We also noticed that in DIV line and Large White pigs allele BAX C and BMPR1B C were not fixed, but BAX TT and BMPR1B GG did not nearly appear, possibly because the homozygotes led to embryonic lethality in these specific pig populations. The association analyses of these mutations with litter traits were carried out in Large White and Chinese DIV line pigs. The BAX gene was significantly associated with the litter size in these two populations, suggesting this mutation might be a good marker for pig selection and breeding. Suggestive association (p = 0.09) was found between the BMPR1B and litter size, in some ways similar to the results of Tomas et al., which also only found suggestive associations (nominal p < 0.1) between the BMPR1B haplotypes and the number of piglets born alive and weaned when data from the first parity of Iberian × Meishan F2 sows were considered .
We have reported differential gene expression in ovarian follicles at the preovulatory stage of a PMSG-hCG stimulated estrous cycle of two pig breeds with different ovulation rate. Some differentially expressed genes and key pathways related to biological and cellular regulation were identified. Furthermore, two differentially expressed genes- BAX and BMPR1B genes were genotyped and associated with the litter size traits in Large White and Chinese DIV pigs. The results of this study provide an opportunity to elucidate the genetic control of ovulation rate and improve our understanding of high prolificacy of Chinese Taihu pigs.
Population and experimental design, tissue collection
All animal procedures were performed according to protocols approved by the Biological Studies Animal Care and Use Committee of Hubei Province, PR China. Three multiparous Taihu cyclic sows (TH; ≥ 2 parities) from Jiangsu Changshu Xuqin Corporation and 3 multiparous Large White cyclic sows (LW; ≥ 2 parities) from Jinpin farm of Huazhong Agricultural University that exhibited normal estrous cycles were treated with 1000 IU PMSG and 500 IU hCG as previously described . Given that the difference of prolificacy between Large White and Chinese Taihu pigs possibly due to the differences in the characteristics of follicle maturation , PMSG-hCG was used to initiate and synchronize the follicular phase. PMSG-hCG stimulated sows were killed and the ovaries at the preovulatory phase were removed immediately and kept in ice-cold physiological saline (0.9% wt/vol NaCl) during dissection of follicles. Only healthy follicles with a diameter of > 5 mm were isolated and snap-frozen in liquid nitrogen . Total RNA was isolated from ovary follicles with Trizol (Invitrogen). RNA yield was quantified by spectrophotometric analysis using the convention that 1 absorbance unit at 260 nm equals 40 μg/mL RNA.
Animals from 11 different populations were used to investigate the allele frequency, including 36 Chinese Taihu pigs, 40 Tongcheng pigs, 7 Hezuo pigs, 26 Huainan pigs, 129 pigs from DIV line (the 4th Dam line of Chinese lean-type new lines), 108 Large White pigs I, 165 Large White pigs II, 16 Landrace pigs, 29 Duroc, 33 White Duroc and 34 Pietrain pigs.
The association analyses were conducted in Large White and DIV pig populations. Two hundred and seventy three Large White pigs contained 108, 165 pigs from strain I and II, which were raised in the farms owned by Huazhong Agricultural University (HAU) and Hubei Institute of Animal Science and Veterinary Medicine, respectively. Synthetic Line DIV was a result of cross of Landrace, Large White, Tongcheng or Taihu pigs, and was raised in pig farm owned by HAU. During the consecutive years (2005-2010), TNB and NBA of animals were recorded in 491 litters of DIV Line sows and in 481 litters of Large White II sows.
Microarray hybridizations and data analysis
The RNA labeling and hybridization were conducted by a commercial Affymetrix array service according to Technical Manual of GeneChip® Expression Analysis (CapitalBio Corporation, Beijing, China). Briefly, a total of 5 μg RNA was converted to double - stranded cDNA using the one-cycle cDNA Synthesis Kit (Affymetrix, Inc., Santa Clara, CA) and T7-Oligo (dT) Primer. In vitro transcription (IVT) of cRNA from cDNA was conducted using the MEGAscript ® T7 Kit (Ambion, Inc.). After the cleanup of the cDNA and cRNA using the Sample Cleanup Module (Affymetrix), the GeneChip IVT Labeling Kit (Affymetrix) was used for synthesis of Biotin-Labeled cRNA. cRNA quality and concentration was checked by UV spectrophotometer analyses and 2 μg cRNA was then checked by formaldehyde denaturing gel electrophoresis in 1.2% agarose gel. Subsequently, labeled cRNA was fractionated and hybridized with the GeneChip Porcine Genome Array according to the standard procedures provided by the manufacturer. Chips were washed and stained with a GeneChip Fluidics Station 450 (Affymetrix) using the standard fluidics protocol. The probe arrays were scanned using the Affymetrix ® GeneChip® Scanner 3000. Six microarrays were used in the experiment, corresponding to the RNAs from PMSG-hCG stimulated preovulatory ovarian follicles of three Taihu sows and three Large White sows. The Affymetrix GeneChip Porcine Genome Array probe set contained 11 pairs of perfect match (PM) and mismatch (MM) 25-mer probes. The probe-pair (PM-MM) data were used to detect the expression level of genes on the array (present call, marginal call, and absent call) by MAS 5.0 (Wilcoxon signed rank test). MAS 5.0 was used to normalize the signal values above to 500 on each array. An invariant set normalization procedure was performed to normalize the different arrays using DNA-chip analyzer (dChip). Probe sets whose intensity were above 50 on at least three arrays were remained and then subjected to identifying significantly differentially expressed genes. Identification of DE genes in Large White and Chinese Taihu was conducted using SAS (Ver.8.1, T-test) by comparing the log2 (normalized signal) of two breeds. The p value cutoff for DE genes was set at 0.05. The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE23985 http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23985. Genes with significant similarities to the transcripts in nr database based on BLAST, were selected for GO analyses (EASE threshold = 0.1, count threshold = 2) and pathway analysis at the DAVID http://david.abcc.ncifcrf.gov/. Annotation summary results were obtained by inputting the gene list of interest by selecting OFFICIAL_GENE_SYMBOL as identifier.
Real-time RT-PCR to analyze gene expression profiles
Total RNAs were treated with DNase I (Ambion) and reverse transcribed by the M-MLV Reverse Transcriptase (Promega) according to the manufacturer's instructions. Quantitative real time PCR was performed on the iQ™5 Real Time PCR Detection System (Bio-Rad) using SYBR® Green Real-time PCR Master Mix (Toyobo Co., Ltd., Japan). Each 25 μL real-time RT-PCR reaction included 12.5 μL SYBR Green Real-time PCR Master Mix, 350-500 ng cDNA, 0.3 μM primers (see additional file 6). PCR conditions consisted of 1 cycle at 95°C for 3 min, followed by 45 cycles at 94°C for 20 sec, 58°C for 20 sec, and 72°C for 18 sec, with fluorescence acquisition at 74°C. cDNAs from three Taihu and three Large White ovary follicles were used as the template to detect the expression changes of the target genes. All PCRs were performed in triplicate and gene expression levels were quantified relatively to the expression of β-actin using Gene Expression Macro software (Bio-Rad, Richmond, CA, USA) by employing ΔCt value. Student's t-test was conducted to identify differentially expressed genes. Due to the negative relationship between Ct and expression level, an improved method of the previous report was used to compare the results of real time RT-PCR and microarray by plotting the -ΔCt values of real time RT-PCR versus the log of the microarray signal for each gene . The Pearson correlation coefficient was calculated and used to estimate the correlation of real time RT-PCR results and microarray results.
Integration of differentially expressed genes in porcine QTL regions
To retrieve the corresponding pig gene data of one differentially expressed EST, the probe (EST) sequence was used as a query to search homology using BLASTN against Ensembl Sus_scrofa database (Sscrofa9, Apr 2009). QTLs for reproduction traits were obtained from the PigQTLdb http://www.animalgenome.org/cgi-bin/QTLdb/SS/browse. The differentially expressed probe sets located in these QTL intervals were identified through comparison analysis . The reproduction traits included TNB, NBA, fully formed piglets, number of stillborn, ovulation rate, age at puberty and uterine capacity. We listed all Affymetrix probe sets that were located in these QTL intervals.
Detection of SNPs of differentially expressed genes and association analyses
Two differentially expressed genes- BAX and BMPR1B were selected as potential candidates for litter size due to their functions and/or chromosomal positions, and further were investigated for their effects on litter traits. PCR-RFLPs were used to identify their mutations including a C/T at intron 1 of BAX gene , and a C/G of BMPR1B gene (Fan B, private communication). Briefly, PCR reactions contained 1.5 mM MgCl2, 150 μM dNTPs, 0.5 μM of each PCR primers (see additional file 6), 1 μL DNA, and 1 U Taq DNA polymerase in a 25 μL volume. PCR was run as follows: 94°C for 4 min followed by 35 cycles of 94°C for 40 sec, 60°C for 40 sec, 72°C for 35 sec, and final extension of 72°C for 10 min. For PCR-RFLP profile, 8.5 μL of PCR products were digested with 5 U restriction endonuclease (TaKaRa) for 4 h at 37°C, and then separated by electrophoresis on a 1-3% agarose gel (with ethidium bromide) in 1 × TAE buffer. The relationships between differentially expressed genes genotypes and litter size traits of Large White (n = 273) and DIV (n = 129) pigs were evaluated with the general linear model (GLM) procedure of SAS version 8.0. The model: Y ijkl = μ + P i + S j + F k + G l + e ijkl , where Y ijkl is the observation of the trait, μ is the least square means, P i is the effect of i th parity (i = 1, 2, 3, 4 (parity ≥ 4 )), S j is the effect of j th season, F k is the effect of k th farm (k = 1, 2), G l is the effect of l th genotype (l = 1-3) and e ijkl is the random residual .
quantitative trait loci
- Chinese DIV line:
the 4th dam line of Chinese lean-type new line
integral membrane protein
catenin, beta interacting protein 1
Wnt inhibitory factor 1
bone morphogenetic protein receptor, type IB
catenin (cadherin-associated protein) alpha-like1
BCL-2 associated X protein
v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog
follicle-stimulating hormone β
retinol binding protein 4
T cell factor
Kyoto Encyclopedia of Genes and Genomes
total number of piglets born
the number of piglets born alive.
We thank all farmers for providing pig samples, and thank Yuhao Zhang and Guochao Shao for collecting the samples. This work was supported financially by the Trans-gene Key Project of China (2009ZX08009-148B), IFS project (B/4316-1), Natural Science Foundation of Hubei Province of China (2009CDA127) and the creative team project of Chinese education ministry (IRT-0831).
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