The aim of this study was to validate previously reported associations between microarray gene expression levels and pork quality traits using real-time PCR. Meat samples and meat quality data from 100 pigs were collected from a different pig breed to the one tested by microarray (Large White versus Pietrain) and a different country of origin (Denmark versus Germany). Ten genes (CARP, MB, CSRP3, TNNC1, VAPB, TNNI1, HSPB1, TNNT1, TIMP-1, RAD-like) were chosen from the original microarray study on the basis of the association between gene expression levels and the meat quality traits meat %, back fat, pH24, drip loss %, colour a*, colour b*, colour L*, WB-SF, SFA, MUFA, PUFA. Real-time PCR detection methods were developed for validation of all ten genes, confirming association with drip loss (two of two genes), ultimate pH (three of four genes), a* (redness) (two of six genes) and L*(lightness) (two of four genes). Furthermore, several new correlations for MUFA and PUFA were established due to additional meat quality trait information on fatty acid composition not available for the microarray study. Regression studies showed that the maximum explanation of the phenotypic variance of the meat quality traits was 50% for the ultimate pH trait using these ten genes only. Additional studies showed that the gene expression of several of the genes was correlated with each other. We conclude that the genes initially selected from the microarray study were robust, explaining variances of the genes for the meat quality traits.
The objective of this study was to determine hepatic expression levels of GHR, IGF1R, IGF1 and IGF2 genes in young growing gilts at different developmental ages (60-210 days) in five pig breeds: Polish Large White (PLW), Polish Landrace (PL), Pulawska (Pul), Duroc (Dur) and Pietrain (Pie). We studied the differences among pig breeds as well as within each breed for pigs in different developmental ages. Obtained results revealed major differences among breeds in hepatic gene expression of porcine GHR, IGF1R, IGF1 and IGF2 genes in different developmental ages. The differences among breeds of GHR expression were significantly higher in PLW, PL at the age of 60, 90, 120 days as compared to Pul, Dur and Pie. In turn, the highest level of IGF1R expression was observed in PL at age of 150, 180 and 210 days, whereas in case of IGF1 the highest level was recorded in Pie gilts at the age of 60 and 90 days. Moreover trait associated study revealed highly significant correlations between hepatic expressions of IGF1R and IGF2 genes and carcass composition traits (P < 0.01) The results of study suggest that porcine GHR, IGF1R, IGF1 and IGF2 genes may be potential candidate genes for postnatal growth and carcass composition traits. Therefore, the implementation of the hepatic expression of GH/IGF genes into the pig breeding and gene assisted selection program in different pig breeds should be considered. However, further population wide study is needed to clarify the hepatic expression association with economic traits, such as body growth, meat quality and carcass composition traits.
Background: Single nucleotide polymorphisms (SNPs) are the well-known molecular markers in genetics and breeding studies applied to veterinary sciences and livestock production. Advancement of next generation sequencing (NGS) provides a high-throughput means of potential putative SNP discovery. The aim of the study was to identify the putative genetic variants in gluteus medius muscle transcriptome of Polish Landrace pigs.Methods. RNA-seq based NGS experiment was performed on Polish Landrace pigs fed with omega-6 and omega-3 polyunsaturated fatty acids (and normal diets. Isolation of total RNA from gluteus medius muscle was performed PUFAs dietary of Polish Landrace pigs. The RNA-seq libraries were constructed by mRNA enrichment, mRNA fragmentation, second strand cDNA synthesis, adaptor ligation, size selection and PCR amplification using the illumina TruSeq RNA Sample Prep Kit v2 (Illumina, San Diego CA, USA), followed by NGS sequencing on MiSeq illumina platform. The quality control of raw RNA-seq data was performed using the Trimmomatic and FastQC tools. High QC pairedend RNA-seq data of gluteus medius muscle transcriptome were mapped to the reference genome Sus scrofa v.10.2. Finally, the SNPs discovery was performed using GATK and SAMtools bioinformatics SNPs caller tools. Results:The Fastq RNA-seq data generated from two pooled paired-end libraries (151bp) of gluteus medius muscle tissue of Polish Landrace pigs were submitted to NCBI SRA database (https://www.ncbi.nlm.nih.gov/sra). Study identified a total of 50.5 million pairedend reads (32.5 million low PUFAs dietary group and 18 million reads high PUFAs dietary group) of gluteus medius muscle transcriptome of Polish Landrace pigs. SNP discovery identified a total of 35436 homozygous and 28644 heterozygous cSNPs in gluteus medius muscle transcriptomes representing both dietary groups of Polish Landrace pig. Moreover, a total of 25187 and 5488 cSNP were identified as synonymous SNPs, and 18005 and 4780 cSNP were identified as nonsynonymous SNPs. Finally, single nucleotide variation (SNV) representing substitutions of all four possibilities (A,T,G,C) were identified ranging 2935 to 3227 SNVs (high PUFAs) and 3528 to 3882 SNVs (low PUFAs) for the heterozygous cSNPs and 2712 to 4058 (high PUFAs) and 4169 to 5692 SNVs (low PUFAs) for the heterozygous SNPs in gluteus medius muscle transcriptomes of Polish Landrace pigs. Conclusions.Study concluded that identification of cSNPs dataset representing the gluteus medius muscle transcriptome of Polish Landrace pigs fed with a control diet (low) and pigs fed with a PUFAs diet (high) may be helpful to develop a new set of genetic markers specific to Polish Landrace pig breed. Such cSNP markers eventually can be utilized in genome-wide association studies (GWAS) and to finally implement on marker assisted selection (MAS) and genomics selection (GS) program in active breeding population of Polish Landrace pigs in Poland.
The aim of the study was to find osteopontin gene (OPN) polymorphisms as potential mutations affecting the expression level of genes in the ovaries, uterus and oviduct of sows. The material consisted of 71 F1 sows (Polish Large White × Polish Landrace). In the first stage several polymorphisms in the promoter region, intron 6, exon 6 and 7 of the OPN gene were found. The parameters estimated were the frequency of alleles and genotypes, observed heterozygosity and gene diversity, PIC, and chi2 factors. Chi2 values allow for assessment of genetic equilibrium in the population. Thus, the loci OPNp3-4 and OPNe6-1 were in genetic disequilibrium while locus OPNe6-Knoll showed genetic equilibrium. Also real-time PCR analysis to determine the expression dynamics of the OPN gene in examined tissues was performed in relation to “housekeeping” genes. A comparison was made for relative expression in different tissues and different mutations. The highest expression pattern was observed in the oviduct. Based on the novel polymorphisms a significant correlation between the OPN genotype and OPN expression (mRNA) level in the ovary, oviduct, uterine body and uterine horn was observed. In the second stage, the levels of expression of the OPN gene in individual tissues, traits of reproductive performance and reproductive tract traits of sows were also compared. The expression levels in the uterine body and oviduct were related to the age of mating, cervical length, litter weight at birth, number of active nipples, age at slaughter and body weight at mating.
Background: RNA-seq technology is most commonly used in quantitative measurement of gene expression levels and identification of non-annotated transcripts. It is also used for the coding SNPs (cSNPs) discoveries in an efficient and cost-effective way. The aim of this study was to identify the putative genetic cSNPs variants in liver transcriptome of Polish Landrace pigs fed with high and low (normal) omega-6 and omega-3 polyunsaturated fatty acids (PUFAs) diets.Methods. RNA-seq based NGS experiment was performed on Polish Landrace pigs fed with high and low diets. Total RNA were isolated from liver tissues ofPUFAs dietary of Polish Landrace pigs. The RNA-seq libraries preparations were performed by mRNA enrichment, mRNA fragmentation, second strand cDNA synthesis, adaptor ligation, size selection and PCR amplification using the illumina TruSeq RNA Sample Prep Kit v2 (Illumina, San Diego CA, USA), followed by NGS sequencing on MiSeq illumina platform. The quality control (QC) of raw RNA-seq data of liver transcriptome was performed using the Trimmomatic and FastQC tools. The paired-end mapping of the liver transcriptome RNA-seq data (n=12) was performed on the reference genome Sus scrofa v.10.2, followed by cSNPs discovery using GATK and SAMtools bioinformatics SNPs caller tools. RNA-seq based SNP discovery in liver transcriptome TRANSLATioNAL ReSeARch iN VeTeRiNARy ScieNceVol 2, No 1, 2019Conclusions. Study concluded that identification of cSNPs dataset representing the liver transcriptome of Polish Landrace pigs fed with a control diet (low) and pigs fed with a PUFAs diet (high) may be helpful to develop a new set of genetic markers for trait-associated studies (viz., growth and metabolic traits) specific to Polish Landrace pig breed. Such cSNP markers eventually can be utilized in the genetic improvement of the pig production traits using the genome-wide association studies (GWAS) and to finally implement on marker assisted selection (MAS) and genomics selection (GS) program in active breeding population of Polish Landrace pigs in Poland.
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