Search

Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome, and genotyping chip analyses was used to identify SNP markers. Six machine learning methods were deployed to explore the classification potential of the selected SNPs as features in two datasets, namely training (60 RNA-Seq samples) and validation (480 Fluidigm chip samples). SNP selection was performed in sequential order. Firstly, 96 SNPs were selected from the transcriptome-wide SNPs using the principal compound analysis (PCA). Then, 9 among 96 SNPs were later identified using the Random forest based feature selection method from the Fluidigm chip dataset. Among six machines, the random forest (RF) model produced higher classification performance than the other models. The 9 SNP marker candidates selected for classifying the flower color classification were verified using the genomic DNA PCR with Sanger sequencing. Our results suggest that this methodology could be used for future selection of breeding traits even though the plant accessions are highly heterogeneous.

Litter size is an important trait in the pig industry. Therefore, a lot of effort has been put into improving this trait. DNA methylation is an essential epigenetic modification present in unique DNA sequences. Alterations in methylation can affect transcription and phenotypic variation. The purpose of this study was to investigate the effect of DNA methylation on litter size. Methylation-specific restriction enzymes are simple and useful tools for detecting DNA methylation status. We used a pair of methylation-sensitive isoschizomers, which have the same recognition site, HpaII and MspI. Insulin-like growth factor binding protein 4 (IGFBP4) is a key regulator of ovarian follicular development and fetal growth in eutherian mammals. In this study, we discovered that IGFBP4 was hyper-methylated in the uterus tissue of a larger litter size group using bisulfite sequencing, and validated the positive relationship between the methylation status of IGFBP4 and the total number born of pigs using the porcine methylation-specific restriction enzyme polymerase chain reaction (PMP) assay. We suggest that the IGFPB4 gene can be used as a prognostic biomarker for hyperprolific sows and that the PMP assay is a useful tool for methylation status screening.

The electron transfer flavoprotein α subunit gene (ETFA) encodes a protein that forms part of the ETF enzyme. This enzyme is normally active in mitochondria, the energy-producing centres of cells, to donate electrons derived from fatty acid oxidation to ETF- ubiquinone oxidoreductase. In the present study, we identified a non-synonymous single-nucleotide polymorphism (nsSNP) (rs321948383, c.569G > A) in the porcine ETFA gene and analyzed the association between this nsSNP and meat quality traits in 405 Berkshire pigs. The pigs with rs321948383 G/G had a higher meat quality from the aspects of meat colour (L*, p = 0.013), water-holding capacity (p = 0.001), drip loss (p = 0.000), carcass temperatures (T1, p = 0.000; T4, p = 0.000; T12, p = 0.000; T24, p = 0.001), and pH24 (p = 0.014). Therefore, this nsSNP (c.569G > A) could play an important role in improving the meat quality of pigs.

Postmortem pH is a main factor influencing the meat quality in pigs. This study investigated the association of postmortem pH with single-nucleotide polymorphisms (SNPs) in the fourth member of the short-chain dehydrogenase/reductase family (DHRS4), the first member of serpin peptidase inhibitor, clade G (complement inhibitor) (SERPING1), and the apolipoprotein R precursor (APOR) genes in Berkshire pigs. The study included 437 pigs, and genotyping was conducted using the GoldenGate Assay (Illumina, San Diego, CA, USA). DHRS4, SERPING1, and APOR polymorphisms were significantly associated with pH45 or pH24 (p

The paraoxonase (Pon) gene family contains three members: Pon1, Pon2, and Pon3. Pon3 modulates superoxide production and prevents apoptosis. The role of Pon3 has not been fully elucidated in the pig. This study is the first to investigate the association between Pon3 and meat quality in the Berkshire pig. We identified a single nucleotide polymorphism in the Pon3 gene (c.227A > G) that resulted in a change in histidine to arginine at position 76. To elucidate the role of this non-synonymous single nucleotide polymorphism in the Pon3 gene, we analysed the Pon3 genotype and meat quality traits in 434 Berkshire pigs. The results of a codominant model show that carcass weight, meat colour (lightness), cooking loss, and the Warner–Bratzler shear force were significantly associated with the Pon3 genotype. Furthermore, the 24-h post-mortem pH had the strongest relationship with the Pon3 genotype. The G allele decreased cooking loss and fat content, whereas the A allele increased the 24-h post-mortem pH and decreased backfat thickness, which contribute to meat storage life and M. longissimus dorsi depth respectively. In conclusion, the non-synonymous single nucleotide polymorphism in the Pon3 gene showed a close correlation with meat quality traits in the Berkshire pig.