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14 pages, 1803 KiB  
Article
Discovery of Potential Candidate Genes for Coat Colour in Wuzhishan Pigs by Integrating SNPs and mRNA Expression Analysis
by Qiao Xu, Yabiao Luo, Zhe Chao, Jibin Zhang, Xiaolei Liu, Danqin Tu, Qin Guo, Ruiping Sun, Feng Wang and Meiying Fang
Animals 2024, 14(23), 3493; https://doi.org/10.3390/ani14233493 - 3 Dec 2024
Viewed by 333
Abstract
Despite identifying genes regulating the coat colour in Western pig breeds, the genetic basis of the coat colour in Chinese indigenous pigs is still not understood due to the diversity of indigenous breeds and their genetic differences from exotic pigs. In this study, [...] Read more.
Despite identifying genes regulating the coat colour in Western pig breeds, the genetic basis of the coat colour in Chinese indigenous pigs is still not understood due to the diversity of indigenous breeds and their genetic differences from exotic pigs. In this study, 215 Wuzhishan pigs with three coat colour patterns (white, black, and black-back/white-belly) were used to conduct a genome-wide association analysis. We found that genes responsible for the coat colour in the Wuzhishan breed are located on chromosome 8. Ninety-seven genome-wide significant SNPs are related to the animal’s coat colour. Using a haplotype-sharing analysis, we narrowed the potential candidate region to a 10.1 Mb interval encompassing only one gene, RAPGEF2, which participates in the regulation of melanogenesis. Two additional candidate genes, PDGFRA and KIT, are located within 1 Mb of the genome-wide significant SNPs. Gene ontology analysis and literature mining suggest that these candidate genes are associated with the animal’s coat colour. mRNA expression results revealed that RAPGEF2 and PDGFRA had significantly higher expressions in black pigs than in white pigs and higher expressions in black skin than in white skin from the same black-back/white-belly pigs. These results suggest that RAPGEF2 and PDGFRA are potential candidate genes regulating the coat colour in Wuzhishan pigs. Interestingly, mutations of KIT (a gene duplication and a G to A substitution at the splicing site in intron 17) were detected in white Wuzhishan pigs but not in black-back/white-belly or black pigs, suggesting a close genetic relationship between white Wuzhishan pigs and Western white pig breeds. In summary, these results indicate that the expression of RAPGEF2 and PDGFRA may cause the coat colour variation by influencing the deposition of melanin, while the mutation of KIT causes the white coat colour. Our results may provide a theoretical basis for the breeding of white coat colour Wuzhishan pigs, and shed light on the complex genetic background of coat colour variations in indigenous Chinese pig breeds. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Three coat colour phenotypes in Wuzhishan pigs. (<b>A</b>) white, (<b>B</b>) black-back/white-belly, (<b>C</b>) black.</p>
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<p>(<b>A</b>) Manhattan plot showing results from the genome-wide association study for coat colour traits in Wuzhishan pigs. (<b>B</b>) Quantile–quantile plot showing observed (black line) versus expected (blue points) log10 (<span class="html-italic">p</span>-values). The null hypothesis (no association between SNPs and coat colour) is represented by the red line.</p>
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<p>Fixation index (FST) plots generated using average FST values, with 500 Kb windows and 200 Kb overlap between adjacent windows. (<b>A</b>) FST plot for white vs. black. (<b>B</b>) FST plot for white vs. black-back/white-belly. (<b>C</b>) FST plot for black vs. black-back/white-belly. The horizontal red line indicates the top 1% FST values. SNPs with values above this threshold were considered to be selective sweep loci.</p>
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<p>Linkage disequilibrium (LD) plot generated by Haploview4.2 for SNPs in the 10.1 Mb region between the two most significant SNPs (DRGA0008593 and ALGA0047848) in SSC8. SNP IDs are indicated horizontally across the top. The black lines indicate the identified haplotype blocks containing significant SNPs with complete linkage disequilibrium. Red diamonds represent LD between two SNPs with r<sup>2</sup> values lower than 100% when labelled but that are equal to 100% when unlabelled.</p>
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<p>Expression of (<b>A</b>) <span class="html-italic">RAPGEF2</span> and (<b>B</b>) <span class="html-italic">PDGFRA</span> in skin tissues from Wuzhishan pigs exhibiting one of the three possible coat colours. Results are shown as means ± SD of triplicate measurements. * indicates <span class="html-italic">p</span> &lt; 0.05, ** indicates <span class="html-italic">p</span> &lt; 0.01. White belly and black back are both samples from black-back/white-belly pigs.</p>
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<p>The G to A mutation located at the first nucleotide in intron 17 of <span class="html-italic">KIT</span>, which causes alternative splicing, was detected through sequencing and restriction digestion. (<b>A</b>) Sequence alignment of data obtained from pooled DNA samples (from 30 individuals) shows the mutation in <span class="html-italic">KIT</span> intron 17. The red column highlights the mutation site (93G &gt; A); Yorkshire and white Wuzhishan pigs exhibit double peaks, indicating nucleotides G and A at that location, while all the other pigs showed single peaks at this location, indicating the presence of only G nucleotide. (<b>B</b>) Agarose gel displaying the PCR product from <span class="html-italic">KIT</span> intron 17 of Wuzhishan pigs after digestion with NlaIII. Lanes 1–3 contain DNA from white pigs, 4–6 from black-back/white-belly pigs, and 7–9 from black pigs. The three bands in the Yorkshire and white pig lanes are diagnostic of the splice mutation, while the double bands are wild type. The Yorkshire and Rongchang pigs served as positive and negative controls, respectively.</p>
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13 pages, 2318 KiB  
Article
N-glycosylation Modification Reveals Insights into the Oxidative Reactions of Liver in Wuzhishan Pigs
by Yuwei Ren, Feng Wang, Ruiping Sun, Yan Zhang, Xinli Zheng, Hailong Liu, Linlin Chen, Yanning Lin, Yujie Zhao, Mingxia Liang and Zhe Chao
Molecules 2024, 29(22), 5222; https://doi.org/10.3390/molecules29225222 - 5 Nov 2024
Viewed by 614
Abstract
Although porcine liver contributes to their growth and development by nutrition production and energy supply, oxidative stress-induced hepatocyte damage is inevitable during metabolism. N-glycosylation is a common modification in oxidation; nevertheless, the effects of N-glycosylation on pig liver oxidative reactions remain undefined. In [...] Read more.
Although porcine liver contributes to their growth and development by nutrition production and energy supply, oxidative stress-induced hepatocyte damage is inevitable during metabolism. N-glycosylation is a common modification in oxidation; nevertheless, the effects of N-glycosylation on pig liver oxidative reactions remain undefined. In this study, liver proteins with N-glycosylation were detected in Wuzhishan (WZS) pigs between 4 and 8 months old and Large White (LW) pigs at 4 months old based on LC-MS/MS. The results showed that the number of differentially expressed proteins (DEPs) was larger between different pig cultivars than that between WZS pigs at various growth periods. The enriched pathways of DEPs were mainly related to oxidative reactions, and 10 proteins were finally selected that primarily consisted of CYPs, GSTs and HSPs with expressions significantly correlating to liver size and weight. The oxidative genes shared N-glycosylation-modified models of N-x-S and N-G. Five out of 10 proteins were upregulated in WZS pigs compared to LW pigs at 4 months old, while five proteins increased in WZS pigs from 4 to 8 months old. In conclusion, this research provides valuable information on the N-glycosylation motifs in liver oxidation genes of WZS pigs. Full article
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<p>The number of total and modified peptides, sites, and proteins. (<b>A</b>) The number of total peptides and proteins, the comparable proteins identified by LC-MS/MS, and the comparable proteins indicated as all three biological duplications could be detected as expression signals. (<b>B</b>) The number of modified peptides, sites, and proteins with N-glycosylation, and the comparable sites indicated as all three biological duplications, could be detected as expression signals of both total proteins and modified sites, and then the comparable proteins were corresponding proteins to the comparable sites. The RSD analysis of total proteins (<b>C</b>) and modified proteins (<b>D</b>) in biological duplications of WZS pigs at 4 and 8 months old, and LW pigs at 4 months old. The PCA analysis of total proteins (<b>E</b>) and modified proteins (<b>F</b>) in biological duplications.</p>
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<p>The expression of proteins in WZS and LW pigs. (<b>A</b>) The difference between numbers of DEPs in groups of WZS and LW pigs at 4 months old, and WZS pigs at 4 months old and 8 months old; comparison between the DEPs and unchanged expression proteins viewed by volcano plot of WZS and LW pigs at 4 months old (<b>B</b>), and WZS pigs at 4 months old and 8 months old (<b>C</b>), the dashed lines of horizontal axis presented as Log<sub>2</sub><sup>(WZS8m/WZS4m Ratio = 0.67/1.5)</sup>, and the dashed lines of vertical axis presented as −Log<sub>10</sub><sup>(<span class="html-italic">p</span> value = 0.05)</sup>; (<b>D</b>) the DEPs viewed by heatmap.</p>
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<p>The functional enrichment of DEPs. Comparison between the KEGG (<b>A</b>) and GO (<b>B</b>) enrichment of DEPs in WZS and LW pigs at 4 months old and the KEGG (<b>C</b>) and (<b>D</b>) GO enrichment of DEPs of WZS pigs at 4 months old and 8 months old.</p>
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<p>The expressions of oxidation-related proteins and their interactions. Comparison between the protein expression of 14 oxidative proteins in WZS and LW pigs at 4 months old (<b>A</b>), and WZS pigs at 4 months old and 8 months old (<b>B</b>); (<b>C</b>) the PPI network of 14 oxidative proteins; (<b>D</b>) the correlations inside and between the expressions of 14 protein and liver parameters; (<b>E</b>) the correlations between protein expressions of CYPs and HSPs and liver weight, length, and width.</p>
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<p>The motif of identified proteins with N-glycosylation. (<b>A</b>) The four categories of motifs; (<b>B</b>) the modified patterns of motifs.</p>
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16 pages, 5256 KiB  
Article
Unveiling the Influence of Copy Number Variations on Genetic Diversity and Adaptive Evolution in China’s Native Pig Breeds via Whole-Genome Resequencing
by Haonan Yuan, Wenjing Wei, Yue Zhang, Changwen Li, Shengguo Zhao, Zhe Chao, Changyou Xia, Jinqiang Quan and Caixia Gao
Int. J. Mol. Sci. 2024, 25(11), 5843; https://doi.org/10.3390/ijms25115843 - 27 May 2024
Viewed by 1230
Abstract
Copy number variations (CNVs) critically influence individual genetic diversity and phenotypic traits. In this study, we employed whole-genome resequencing technology to conduct an in-depth analysis of 50 pigs from five local swine populations [Rongchang pig (RC), Wuzhishan pig (WZS), Tibetan pig (T), Yorkshire [...] Read more.
Copy number variations (CNVs) critically influence individual genetic diversity and phenotypic traits. In this study, we employed whole-genome resequencing technology to conduct an in-depth analysis of 50 pigs from five local swine populations [Rongchang pig (RC), Wuzhishan pig (WZS), Tibetan pig (T), Yorkshire (YL) and Landrace (LR)], aiming to assess their genetic potential and explore their prospects in the field of animal model applications. We identified a total of 96,466 CNVs, which were subsequently integrated into 7112 non-redundant CNVRs, encompassing 1.3% of the swine genome. Functional enrichment analysis of the genes within these CNVRs revealed significant associations with sensory perception, energy metabolism, and neural-related pathways. Further selective scan analyses of the local pig breeds RC, T, WZS, along with YL and LR, uncovered that for the RC variety, the genes PLA2G10 and ABCA8 were found to be closely related to fat metabolism and cardiovascular health. In the T breed, the genes NCF2 and CSGALNACT1 were associated with immune response and connective tissue characteristics. As for the WZS breed, the genes PLIN4 and CPB2 were primarily linked to fat storage and anti-inflammatory responses. In summary, this research underscores the pivotal role of CNVs in fostering the diversity and adaptive evolution of pig breeds while also offering valuable insights for further exploration of the advantageous genetic traits inherent to China’s local pig breeds. This facilitates the creation of experimental animal models tailored to the specific characteristics of these breeds, contributing to the advancement of livestock and biomedical research. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>Geographical distribution of local and commercial pig breeds and whole-genome characterization of CNVs in the porcine genome. (<b>A</b>) A map illustrating the geographic distribution of the five pig breeds sampled in this study. Dashed circles represent the Harbin Veterinary Research Institute, the breeding ground for imported commercial pig breeds, as shown in the lower right corner, namely YL and LR pigs. (<b>B</b>) A histogram of CNV length distribution. (<b>C</b>) The total length and number of CNVs identified in each sample. (<b>D</b>) Boxplots depicting the distribution of CNV lengths within each group.</p>
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<p>Genomic diversity and distribution of CNVRs. (<b>A</b>) The number of CNVRs detected. (<b>B</b>) Annotation of CNVRs with various genomic features. (<b>C</b>) A distribution map of CNVRs across the 18 autosomes and pie charts depicting the proportions of CNVRs with three different copy number states.</p>
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<p>Comparative genomic analysis of RC with YL and LR pigs using Vst. (<b>A</b>) Manhattan plot of genome-wide Vst for each CNVR locus between RC, YL, and LR pigs. (<b>B</b>) An enlarged line plot of the PLA2G10 region. (<b>C</b>) Gene structure of PLA2G10. (<b>D</b>) Allele frequency distribution for PLA2G10. (<b>E</b>) An enlarged line plot of the ABCA8 region. (<b>F</b>) Gene structure of ABCA8. (<b>G</b>) Allele frequency distribution for ABCA8.</p>
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<p>Comparative genomic analysis of T with YL and LR pigs using Vst. (<b>A</b>) Manhattan plot of genome-wide Vst for each CNVR locus between T, YL, and LR pigs. (<b>B</b>) An enlarged line plot of the NCF2 region. (<b>C</b>) Gene structure of NCF2. (<b>D</b>) Allele frequency distribution for NCF2. (<b>E</b>) An enlarged line plot of the CSGALNACT1 region. (<b>F</b>) Gene structure of CSGALNACT1. (<b>G</b>) Allele frequency distribution for CSGALNACT1.</p>
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<p>Comparative genomic analysis of WZS with YL and LR pigs using Vst. (<b>A</b>) Manhattan plot of genome-wide Vst for each CNVR locus between WZS, YL, and LR pigs. (<b>B</b>) An enlarged line plot of the PLIN4 region. (<b>C</b>) Gene structure of PLIN4. (<b>D</b>) Allele frequency distribution for PLIN4. (<b>E</b>) An enlarged line plot of the CPB2 region. (<b>F</b>) Gene structure of CPB2. (<b>G</b>) Allele frequency distribution for CPB2.</p>
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18 pages, 3872 KiB  
Article
The Genetic Selection of HSPD1 and HSPE1 Reduce Inflammation of Liver and Spleen While Restraining the Growth and Development of Skeletal Muscle in Wuzhishan Pigs
by Yuwei Ren, Feng Wang, Ruiping Sun, Xinli Zheng, Yuanyuan Liu, Yanning Lin, Lingling Hong, Xiaoxian Huang and Zhe Chao
Animals 2024, 14(1), 174; https://doi.org/10.3390/ani14010174 - 4 Jan 2024
Cited by 1 | Viewed by 2165
Abstract
Wuzhishan (WZS) pigs, which are minipigs native to Hainan Province in China, are characterized by strong resistance to extreme hot temperatures and humidity. The relationship between their immune response and growth still needs to be clarified. In this study, we used whole genome [...] Read more.
Wuzhishan (WZS) pigs, which are minipigs native to Hainan Province in China, are characterized by strong resistance to extreme hot temperatures and humidity. The relationship between their immune response and growth still needs to be clarified. In this study, we used whole genome sequencing (WGS) to detect variations within 37 WZS pigs, 32 Large White (LW) pigs, and 22 Xiangxi black (XXB) pigs, and ~2.49 GB of SNPs were obtained. These data were combined with those of two other pig breeds, and it was found that most of the genes detected (354) were located within the distinct genetic regions between WZS pigs and LW pigs. The network that was constructed using these genes represented a center including 12 hub genes, five of which had structural variations (SVs) within their regulatory regions. Furthermore, RNA-seq and RT-qPCR data for 12 genes were primarily consistent in liver, spleen, and LDM tissues. Notably, the expression of HSPs (HSPD1 and HSPE1) was higher while that of most genes involved in the JAK3-STAT pathway were lower in liver tissue of WZS pigs, compared with LW pigs. This likely not only reduced inflammation-related immune response but also impaired their growth. Our findings demonstrated the role of HSPs in the connection between inflammation and growth rate, while also providing the fundamental genetic selection of the adaptability of WZS pigs. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Map of genomic variants for five pig breeds. (<b>A</b>) Density of SNPs on 20 chromosomes for five pig breeds. Light green, light orange, dark green, blue, and dark orange represented Duroc, Meishan, XXB, LW, and WZS pigs, respectively. The outermost layer represented 20 chromosomes. (<b>B</b>) Structural annotation of five pig breeds. (<b>C</b>,<b>D</b>) The distribution of SVs on 20 chromosomes of WZS pigs (<b>C</b>) and LW pigs (<b>D</b>).</p>
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<p>The population structure of five pig breeds. (<b>A</b>) A phylogenetic tree of five pig breeds generated using the neighbor-joining algorithm. (<b>B</b>) Data collected from the PCA analysis. (<b>C</b>) The linkage disequilibrium value. (<b>D</b>) The change in total effective population size for five pig breeds.</p>
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<p>Differences in variation between WZS pigs and other pigs. (<b>A</b>) The π value of five pig breeds. (<b>B</b>) The Tajima’s D value of WZS pigs. (<b>C</b>) The FST value between WZS and LW pigs. (<b>D</b>) The XP-CLR value between WZS and LW pigs.</p>
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<p>SNPs and genes corresponding to the top 5% genetically different regions selected from WZS and LW pigs selected from WZS and LW pigs. (<b>A</b>,<b>B</b>) The SNPs in the top 5% genetically different regions to be calculated of FST values and θ<sub>π</sub> ratios between (<b>A</b>) WZS and LW pigs, (<b>B</b>) and between WZS and XXB pigs. (<b>C</b>) The KEGG enrichment analysis of the genes corresponding to the top 5% genetically different regions between WZS and LW pigs. (<b>D</b>) PPI network of the genes corresponding to the top 5% genetically different regions between WZS pigs and LW pigs. (<b>E</b>) The SVs in the CDS of five genes detected in WZS pigs. (<b>F</b>) SVs in the functional domains of five genes detected in WZS pigs.</p>
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<p>The KEGG enrichment analysis of DEGs in different tissues between WZS and LW pigs. (<b>A</b>–<b>C</b>) KEGG enrichment analysis results for (<b>A</b>) liver tissue, (<b>B</b>) spleen tissue, (<b>C</b>) and LDM tissue. (<b>D</b>–<b>F</b>) The expression of 12 genes encoding proteins in the PPI network in (<b>D</b>) liver tissue, (<b>E</b>) spleen tissue, and (<b>F</b>) LDM tissue. The RT-qPCR results for 12 genes in different tissues of WZS and LW pigs: (<b>G</b>) liver tissue, (<b>H</b>) spleen tissue, (<b>I</b>) and LDM tissue. The symbols “*”, “**”, “***” represented 0.01 ≤ <span class="html-italic">p</span> value ≤ 0.05, 0.001 ≤ <span class="html-italic">p</span> value ≤ 0.01, <span class="html-italic">p</span> value ≤ 0.001, respectively. (<b>J</b>) Linkage model of immune response and growth state. The figure at the top left corner represents the liver tissue, and the top right represents the spleen tissue of WZS pigs. The pigs at the bottom are 4-month-old WZS and LW pigs.</p>
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14 pages, 3059 KiB  
Article
Evaluation of the Genetic Diversity, Population Structure and Selection Signatures of Three Native Chinese Pig Populations
by Ziqi Zhong, Ziyi Wang, Xinfeng Xie, Shuaishuai Tian, Feifan Wang, Qishan Wang, Shiheng Ni, Yuchun Pan and Qian Xiao
Animals 2023, 13(12), 2010; https://doi.org/10.3390/ani13122010 - 16 Jun 2023
Cited by 9 | Viewed by 2189
Abstract
Indigenous pig populations in Hainan Province live in tropical climate conditions and a relatively closed geographical environment, which has contributed to the formation of some excellent characteristics, such as heat tolerance, strong disease resistance and excellent meat quality. Over the past few decades, [...] Read more.
Indigenous pig populations in Hainan Province live in tropical climate conditions and a relatively closed geographical environment, which has contributed to the formation of some excellent characteristics, such as heat tolerance, strong disease resistance and excellent meat quality. Over the past few decades, the number of these pig populations has decreased sharply, largely due to a decrease in growth rate and poor lean meat percentage. For effective conservation of these genetic resources (such as heat tolerance, meat quality and disease resistance), the whole-genome sequencing data of 78 individuals from 3 native Chinese pig populations, including Wuzhishan (WZS), Tunchang (TC) and Dingan (DA), were obtained using a 150 bp paired-end platform, and 25 individuals from two foreign breeds, including Landrace (LR) and Large White (LW), were downloaded from a public database. A total of 28,384,282 SNPs were identified, of which 27,134,233 SNPs were identified in native Chinese pig populations. Both genetic diversity statistics and linkage disequilibrium (LD) analysis indicated that indigenous pig populations displayed high genetic diversity. The result of population structure implied the uniqueness of each native Chinese pig population. The selection signatures were detected between indigenous pig populations and foreign breeds by using the population differentiation index (FST) method. A total of 359 candidate genes were identified, and some genes may affect characteristics such as immunity (IL-2, IL-21 and ZFYVE16), adaptability (APBA1), reproduction (FGF2, RNF17, ADAD1 and HIPK4), meat quality (ABCA1, ADIG, TLE4 and IRX5), and heat tolerance (VPS13A, HSPA4). Overall, the findings of this study will provide some valuable insights for the future breeding, conservation and utilization of these three Chinese indigenous pig populations. Full article
(This article belongs to the Collection Genetic Diversity in Livestock and Companion Animals)
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<p>SNP characteristics of indigenous pig population. (<b>A</b>) This figure shows the annotation of all variations within the three indigenous pig populations, with each variation area annotated as a percentage. (<b>B</b>) This figure displays the annotated variation information within the coding region of the three indigenous pig populations.</p>
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<p>Genetic diversity of indigenous pigs and commercial pigs. (<b>A</b>) Drawn violin plots for nucleotide diversity in each population. (<b>B</b>) Drawn LD decay plots for each population. This plot describes the change in the degree of linkage disequilibrium (LD) between two loci along the distance. (<b>C</b>) Heatmap of <span class="html-italic">F<sub>ST</sub></span> distance between populations.</p>
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<p>Analysis of genetic structure of the tested pigs. WZS, Wuzhishan pigs; TC, Tunchang pigs; DA, Dingan pigs; LR, Landrace pigs; LW, Large White pigs. (<b>A</b>) Neighbor-joining tree for all individuals. (<b>B</b>) Plot of the first and second principal components resulting from a principal component analysis of all pig populations. (<b>C</b>) The plot of population structure for all pig populations (K = 2–4). Different colors represent different clusters.</p>
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<p>Manhattan plot of selective signatures by <span class="html-italic">F<sub>ST</sub></span> in the Chinese indigenous pigs. The red dotted line means the threshold for classifying outliers in the heat group (top 1%). Different colors are used to distinguish the neighboring chromosomes. Several related candidate genes are also highlighted.</p>
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<p>GO terms and KEGG pathways were drawn for the candidate exonic genes that were screened based on <span class="html-italic">F<sub>ST</sub></span>. (<b>A</b>) Bubble chart illustrating Gene Ontology (GO) Biological Process enrichment analysis results. (<b>B</b>) Bubble chart demonstrating Gene Ontology (GO) Cellular Component enrichment analysis findings. (<b>C</b>) Bubble chart highlighting Gene Ontology (GO) Molecular Function enrichment analysis outcomes. (<b>D</b>) Bubble chart illustrating KEGG pathway analysis results of selected candidate genes.</p>
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16 pages, 6859 KiB  
Article
Genome-Wide Re-Sequencing Data Reveals the Population Structure and Selection Signatures of Tunchang Pigs in China
by Feifan Wang, Zonglin Zha, Yingzhi He, Jie Li, Ziqi Zhong, Qian Xiao and Zhen Tan
Animals 2023, 13(11), 1835; https://doi.org/10.3390/ani13111835 - 1 Jun 2023
Cited by 4 | Viewed by 2255
Abstract
Tunchang pig is one population of Hainan pig in the Hainan Province of China, with the characteristics of delicious meat, strong adaptability, and high resistance to diseases. To explore the genetic diversity and population structure of Tunchang pigs and uncover their germplasm characteristics, [...] Read more.
Tunchang pig is one population of Hainan pig in the Hainan Province of China, with the characteristics of delicious meat, strong adaptability, and high resistance to diseases. To explore the genetic diversity and population structure of Tunchang pigs and uncover their germplasm characteristics, 10 unrelated Tunchang pigs were re-sequenced using the Illumina NovaSeq 150 bp paired-end platform with an average depth of 10×. Sequencing data from 36 individuals of 7 other pig breeds (including 4 local Chinese pig breeds (5 Jinhua, 5 Meishan, 5 Rongchang, and 6 Wuzhishan), and 3 commonly used commercial pig breeds (5 Duorc, 5 Landrace, and 5 Large White)) were downloaded from the NCBI public database. After analysis of genetic diversity and population structure, it has been found that compared to commercial pigs, Tunchang pigs have higher genetic diversity and are genetically close to native Chinese breeds. Three methods, FST, θπ, and XP-EHH, were used to detect selection signals for three breeds of pigs: Tunchang, Duroc, and Landrace. A total of 2117 significantly selected regions and 201 candidate genes were screened. Gene enrichment analysis showed that candidate genes were mainly associated with good adaptability, disease resistance, and lipid metabolism traits. Finally, further screening was conducted to identify potential candidate genes related to phenotypic traits, including meat quality (SELENOV, CBR4, TNNT1, TNNT3, VPS13A, PLD3, SRFBP1, and SSPN), immune regulation (CD48, FBL, PTPRH, GNA14, LOX, SLAMF6, CALCOCO1, IRGC, and ZNF667), growth and development (SYT5, PRX, PPP1R12C, and SMG9), reproduction (LGALS13 and EPG5), vision (SLC9A8 and KCNV2), energy metabolism (ATP5G2), cell migration (EPS8L1), and olfaction (GRK3). In summary, our research results provide a genomic overview of the genetic variation, genetic diversity, and population structure of the Tunchang pig population, which will be valuable for breeding and conservation of Tunchang pigs in the future. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>The distribution of SNPs detected in Tunchang pigs across chromosomes. (<b>A</b>) Genome-wide distribution of detected SNPs on 18 autosomes chromosomes for Tunchang pigs. The X-axis represents the number of SNVs (single-nucleotide variants). The Y-axis represents 18 autosomes chromosomes, calculated as the number of SNPs per 0.1 Mb. (<b>B</b>) Genome-wide density distribution of detected SNPs on 18 autosomes chromosomes for the Tungchang pigs. The X-axis represents 18 autosomes chromosomes. The Y-axis represents the number of SNPs per 0.1 Mb on a chromosome.</p>
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<p>Genome nucleotide diversity and linkage disequilibrium decay of tested pig populations were analyzed in this study. (<b>A</b>) Genomic nucleotide diversity of all tested pig populations analyzed in this study. (<b>B</b>) Linkage disequilibrium decay of all tested pig populations analyzed in this study, denoted with one line for each population.</p>
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<p>Genetic differentiation in each population. (<b>A</b>) Heatmap of F<sub>ST</sub>-weighted values are used to denote the genetic differentiation. (<b>B</b>) Columnar distribution of seven categories of ROH fragments of each breed.</p>
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<p>Population structure analyses of pig populations were conducted in this study. (<b>A</b>) Neighbor-joining tree constructed from SNV data among 8 breeds. (<b>B</b>) PCA plot the first three principal components for all breeds. (<b>C</b>) Admixture analysis at K= 2–6. (K = 3 is the best assumed genetic group).</p>
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<p>Genome-wide putatively selective signatures by F<sub>ST</sub>, θπ, and XP-EHH on 18 autosome chromosomes in the TC, DU, and LR populations. (<b>A</b>) Manhattan plot of weighted values of three methods between TC and DU. (<b>B</b>) Manhattan plot of weighted values of three methods between TC and LR. The X-axis represents 18 autosome chromosomes, and the Y-axis represents the weighted values of each method. Above the red line is the selected top 5% level.</p>
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<p>The Venn diagram shows the intersection of candidate regions by different populations. The left and right, respectively, represent the number of candidate regions detected between Tunchang and Duroc pigs, as well as between Tunchang and Landrace pigs.</p>
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21 pages, 4040 KiB  
Article
Integrated Analysis of Transcriptome Expression Profiles Reveals miRNA-326–NKX3.2-Regulated Porcine Chondrocyte Differentiation
by Qiao Xu, Yabiao Luo, Zhe Chao, Jibin Zhang, Ximing Liu, Qiguo Tang, Kejun Wang, Shuyi Tan and Meiying Fang
Int. J. Mol. Sci. 2023, 24(8), 7257; https://doi.org/10.3390/ijms24087257 - 14 Apr 2023
Cited by 2 | Viewed by 2122
Abstract
The porcine body length trait is an essential factor affecting meat production and reproductive performance. It is evident that the development/lengthening of individual vertebrae is one of the main reasons for increases in body length; however, the underlying molecular mechanism remains unclear. In [...] Read more.
The porcine body length trait is an essential factor affecting meat production and reproductive performance. It is evident that the development/lengthening of individual vertebrae is one of the main reasons for increases in body length; however, the underlying molecular mechanism remains unclear. In this study, RNA-seq analysis was used to profile the transcriptome (lncRNA, mRNA, and miRNA) of the thoracic intervertebral cartilage (TIC) at two time points (1 and 4 months) during vertebral column development in Yorkshire (Y) and Wuzhishan pigs (W). There were four groups: 1- (Y1) and 4-month-old (Y4) Yorkshire pigs and 1- (W1) and 4-month-old (W4) Wuzhishan pigs. In total, 161, 275, 86, and 126 differentially expressed (DE) lncRNAs, 1478, 2643, 404, and 750 DE genes (DEGs), and 74,51, 34, and 23 DE miRNAs (DE miRNAs) were identified in the Y4 vs. Y1, W4 vs. W1, Y4 vs. W4, and Y1 vs. W1 comparisons, respectively. Functional analysis of these DE transcripts (DETs) demonstrated that they had participated in various biological processes, such as cellular component organization or biogenesis, the developmental process, the metabolic process, bone development, and cartilage development. The crucial bone development-related candidate genes NK3 Homeobox 2 (NKX3.2), Wnt ligand secretion mediator (WLS), gremlin 1 (GREM1), fibroblast growth factor receptor 3 (FGFR3), hematopoietically expressed homeobox (HHEX), (collagen type XI alpha 1 chain (COL11A1), and Wnt Family Member 16 (WNT16)) were further identified by functional analysis. Moreover, lncRNA, miRNA, and gene interaction networks were constructed; a total of 55 lncRNAs, 6 miRNAs, and 7 genes formed lncRNA–gene, miRNA–gene, and lncRNA–miRNA–gene pairs, respectively. The aim was to demonstrate that coding and non-coding genes may co-regulate porcine spine development through interaction networks. NKX3.2 was identified as being specifically expressed in cartilage tissues, and it delayed chondrocyte differentiation. miRNA-326 regulated chondrocyte differentiation by targeting NKX3.2. The present study provides the first non-coding RNA and gene expression profiles in the porcine TIC, constructs the lncRNA–miRNA–gene interaction networks, and confirms the function of NKX3.2 in vertebral column development. These findings contribute to the understanding of the potential molecular mechanisms regulating pig vertebral column development. They expand our knowledge about the differences in body length between different pig species and provide a foundation for future studies. Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>The vertebral development in pigs. Shorter vertebral (<b>A</b>), thoracic vertebral, and lumbar vertebral scleromeres (<b>B</b>) were detected in the 1-month-old Yorkshire and Wuzhishan pigs than in the 4-month-old pigs. Results are shown as means ± SDs of triplicate measurements. Different letters indicate significant differences (d, e, g, h indicate <span class="html-italic">p</span> &lt; 0.05; A, B, C, F indicate <span class="html-italic">p</span> &lt; 0.01); the same letters indicate no significant difference. Y1, 1-month-old Yorkshire pigs; Y4, 4-month-old Yorkshire pigs; W1, 1-month-old Wuzhishan pigs; W4, 1-month-old Wuzhishan pigs. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Number of differentially expressed lncRNAs, genes, and miRNAs in the TIC. Number of DE lncRNAs (<b>A</b>), DEGs (<b>B</b>), and DE miRNAs (<b>C</b>) for Y4 vs. Y1, W4 vs. W1, Y4 vs. W1, and Y1 vs. W1 comparisons, respectively. Up-regulated and down-regulated DEGs are represented in red color and green color, respectively. The different ranges of Log2FC are shown by the different color shades.</p>
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<p>Number of differentially expressed lncRNAs, genes, and miRNAs in the TIC. Number of DE lncRNAs (<b>A</b>), DEGs (<b>B</b>), and DE miRNAs (<b>C</b>) for Y4 vs. Y1, W4 vs. W1, Y4 vs. W1, and Y1 vs. W1 comparisons, respectively. Up-regulated and down-regulated DEGs are represented in red color and green color, respectively. The different ranges of Log2FC are shown by the different color shades.</p>
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<p>LncRNA, microRNA, and key candidate gene interaction network construction. Hexagonal, prismatic, and circular symbols represent the lncRNA, miRNA, and mRNA, respectively; red represents an up-regulation, and green represents a relative down-regulation compared to the 1-month-old pigs.</p>
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<p>Quantitative PCR-verified RNA-seq results (Y4 vs. Y1; W4 vs. W1; Y4 vs. W1; and Y1 vs. W1). The differentially expressed mRNAs (<b>A</b>), lncRNAs (<b>B</b>), and microRNAs (<b>C</b>) were confirmed by quantitative PCR. Results are shown as means ± SDs of triplicate measurements. Different letters indicate significant differences; the same letters indicate no significant differences. Y1, 1-month-old Yorkshire pigs; Y4, 4-month-old Yorkshire pigs; W1, 1-month-old Wuzhishan pigs; W4, 1-month-old Wuzhishan pigs.</p>
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<p>Tissue-specific expression profiles of <span class="html-italic">NKX3.2</span> were identified by semi-quantitative reverse transcription PCR (M, maker; 1, heart; 2, liver; 3, spleen; 4, lung; 5, kidney; 6, longissimus dorsi; 7, thoracic intervertebral cartilage; 8, lumbar intervertebral cartilage; 9, bone tissue).</p>
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<p><span class="html-italic">NKX3.2</span> inhibits chondrocyte differentiation. ATDC5 cells (<b>A</b>,<b>C</b>) and pig primary chondrocytes (<b>B</b>,<b>D</b>) were cultured in chondrogenic differentiation media and treated with control pEGFP-N1 or pEGFP-N1-<span class="html-italic">NKX3.2</span>-CDS. After 4 days, the cultures were stained with Alcian blue or harvested for mRNA isolation and qPCR analyses of <span class="html-italic">COL2A1</span> and <span class="html-italic">COL10A1</span> expressions. Scale bar: 200 um. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, Student’s <span class="html-italic">t</span>-test.</p>
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<p><span class="html-italic">NKX3.2</span> inhibits chondrocyte differentiation. ATDC5 cells (<b>A</b>,<b>C</b>) and pig primary chondrocytes (<b>B</b>,<b>D</b>) were cultured in chondrogenic differentiation media and treated with control pEGFP-N1 or pEGFP-N1-<span class="html-italic">NKX3.2</span>-CDS. After 4 days, the cultures were stained with Alcian blue or harvested for mRNA isolation and qPCR analyses of <span class="html-italic">COL2A1</span> and <span class="html-italic">COL10A1</span> expressions. Scale bar: 200 um. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, Student’s <span class="html-italic">t</span>-test.</p>
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<p>Inhibitory effects of miRNA-326 on <span class="html-italic">NKX3.2</span> fragments using the dual-luciferase reporter system. (<b>A</b>) The schematic diagram of ssc-miRNA-326 was predicted to bind at the two sites (binding site I and binding site II) in <span class="html-italic">NKX3.2</span> 3′UTR. (<b>B</b>) The assay was conducted with a fragment spanning the coordinates of binding site I to those of binding site II, in which mutations had been introduced as follows: binding site I and II wild type (WT); binding site I mutation (M1); binding site II mutation (M2); and binding sites I and II mutation (M12). All relative luciferase activity values were normalized to the NC mimics. ** <span class="html-italic">p</span> &lt; 0.01; NS, not significant. The underlined and red sequences both indicate the binding sites of miRNA-326 and <span class="html-italic">NKX3.2</span>.</p>
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<p>miRNA-326 promotes chondrocyte differentiation. ATDC5 cells (<b>A</b>,<b>C</b>) and pig primary chondrocytes (<b>B</b>,<b>D</b>) were cultured in chondrogenic differentiation media and transfected with NC or miRNA-326 mimics. After 4 days, the cultures were stained with Alcian blue or harvested for mRNA isolation and qPCR analyses of <span class="html-italic">COL2A1</span> and <span class="html-italic">COL10A1</span> and gene expressions. ** <span class="html-italic">p</span> &lt; 0.01, Student’s <span class="html-italic">t</span>-test.</p>
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14 pages, 2995 KiB  
Article
Novel Haplotype in the HHEX Gene Promoter Associated with Body Length in Pigs
by Yabiao Luo, Qiao Xu, Mingming Xue, Yubei Wang, Xiaoyang Yang, Shuheng Chan, Qiguo Tang, Feng Wang, Ruiping Sun, Zhe Chao and Meiying Fang
Genes 2023, 14(2), 511; https://doi.org/10.3390/genes14020511 - 17 Feb 2023
Cited by 2 | Viewed by 1860
Abstract
The screening of important candidate genes and the identification of genetic markers are important for molecular selection in the pig industry. The hematopoietically expressed homeobox (HHEX) gene plays an important role in embryonic development and organogenesis; however, the genetic variation and [...] Read more.
The screening of important candidate genes and the identification of genetic markers are important for molecular selection in the pig industry. The hematopoietically expressed homeobox (HHEX) gene plays an important role in embryonic development and organogenesis; however, the genetic variation and expression pattern of the porcine HHEX gene remains to be clarified. In this study, semiquantitative RT-PCR and immunohistochemistry results showed the specific expression of the HHEX gene in porcine cartilage tissues. A novel haplotype consisting of two SNPs rs80901185 (T > C) and rs80934526 (A > G) was detected in the promoter region of the HHEX gene. The expression of the HHEX gene was significantly higher in Yorkshire pigs (TA haplotype) than in Wuzhishan pigs (CG haplotype), and a population analysis showed that this haplotype was significantly associated with body length. An analysis subsequently revealed that the –586 to –1 bp region of the HHEX gene promoter showed the highest activity. Furthermore, we found that the activity of the TA haplotype was significantly higher than that of the CG haplotype by changing the potential binding of transcription factors YY1 and HDAC2. In summary, we conclude that the porcine HHEX gene may contribute to the breeding of pigs for body length traits. Full article
(This article belongs to the Special Issue Genetics and Genomics of Pig Breeding)
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<p>Porcine <span class="html-italic">HHEX</span> expression pattern. (<b>a</b>) <span class="html-italic">HHEX</span> mRNA expression in Yorkshire pig tissues (<span class="html-italic">n</span> = 1), which were grouped based on the electrophoresis of PCR products for <span class="html-italic">HHEX</span> and β-actin. (<b>b</b>) Immunohistochemical observation of the expression of HHEX in porcine thoracic vertebral body and lumbar vertebral body tissue at 4 days of age. The arrow marks HHEX-positive cells; gray arrows indicate round chondrocytes, and black arrows indicate hypertrophic chondrocytes.</p>
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<p>Polymorphism of the porcine <span class="html-italic">HHEX</span> gene. (<b>a</b>) <span class="html-italic">HHEX</span> gene structure diagram. The open reading frame is marked with a black block, the 5′ UTR with a gray block, the 3′ UTR with a white block, and the introns with line segments. The two SNPs located in the open reading frame of the first exon are marked with arrows. (<b>b</b>) Part of the open reading frame nucleotide sequence and the predicted amino acid sequence in the first exon of <span class="html-italic">HHEX</span> are shown, and the blue letters mark the SNPs (g.104194487G &gt; A and g.104194685G &gt; C) and the predicted amino acid changes, respectively; both were synonymous mutations. (<b>c</b>) <span class="html-italic">HHEX</span> gene promoter SNP (g.104194045T &gt; C and g.104194173A &gt; G) genome distribution diagram and Sanger sequencing map. (<b>d</b>) Linkage disequilibrium analysis for two polymorphisms in the porcine <span class="html-italic">HHEX</span> promoter region in Yorkshire and Wuzhishan pigs. The numbers in the boxes represent the r2 values between SNP pairs. The boxes without numbers indicate r2  =  1. The boxes are colored according to the standard Haploview color scheme: LD  &gt;  2 and D′  =  1, red.</p>
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<p>(<b>a</b>) <span class="html-italic">HHEX</span> mRNA expression levels in the thoracic vertebral cartilage tissues of Y1, Y4, W1, and W4. Values shown are the mean ± SE. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05); the same letters indicate no significant difference. Y1, 1-month-old Yorkshire pigs (<span class="html-italic">n</span> = 3); Y4, 4-month-old Yorkshire pigs (<span class="html-italic">n</span> = 3); W1, 1-month-old Wuzhishan pigs (<span class="html-italic">n</span> = 3); W4, 4-month-old Wuzhishan pigs (<span class="html-italic">n</span> = 3). (<b>b</b>) rs80901185 PCR-RFLP diagram.</p>
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<p>Porcine <span class="html-italic">HHEX</span> promoter transcriptional activity analyses. The left image indicates the length and structure of the fragments, and the right image indicates the corresponding relative luciferase activity. The luciferase activity was normalized, and the relative values were expressed as the fold of induction relative to the pGL4.10[luc2] vector activity. The relative luciferase activity values represent the mean ± SEM of three independent experiments. A one-way ANOVA test was used to assess the differences in luciferase activity. Different letters (a, b, and c) indicate that the difference is significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Luciferase reporter gene assays of the haplotypes containing the <span class="html-italic">HHEX</span> gene promoter SNPs rs80901185 and rs80934526. pGL4-TG represents rs80901185T and rs80934526G, pGL4-CA represents rs80901185C and rs80934526A, pGL4-TA represents rs80901185T and rs80934526A, and pGL4-CG represents rs80901185C and rs80934526G. The relative luciferase activity values represent the mean ± SEM of three independent experiments. A one-way ANOVA test was used to assess differences in luciferase activity. Different letters (a, b, and c) indicate that the difference is significant (<span class="html-italic">p</span> &lt; 0.05).</p>
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11 pages, 2226 KiB  
Article
Spatial and Temporal Expression Characteristics of the HBB Gene Family in Six Different Pig Breeds
by Xin Guo, Zhiguo Liu, Yulian Mu, Lei Huang, Kui Li and Jing Zhang
Genes 2022, 13(10), 1822; https://doi.org/10.3390/genes13101822 - 9 Oct 2022
Viewed by 2732
Abstract
β-Thalassemia induces hemolytic anemia caused by mutations in the β-chain gene locus. As humans progress from embryo to adulthood, hemoglobin recombines twice. To test whether similar hemoglobin reassembly occurs in pigs, bioinformatics tools were used to predict the pig hemoglobin-encoding gene. We then [...] Read more.
β-Thalassemia induces hemolytic anemia caused by mutations in the β-chain gene locus. As humans progress from embryo to adulthood, hemoglobin recombines twice. To test whether similar hemoglobin reassembly occurs in pigs, bioinformatics tools were used to predict the pig hemoglobin-encoding gene. We then systematically analyzed the expression patterns of the HBB gene family in three developmental stages (weaning, sexual maturity and physical maturity) of six different pig breeds (Landrace, Yorkshire, Wuzhishan, Songliao black, Meishan and Tibetan). The results showed that the new hemoglobin coding gene ‘HBB-like’ was found in pigs, while the HBG gene did not exist in pigs, indicating that human-like reassembly might not exist in pigs. The HBB and HBB-like genes shared highly similar amino acid sequences and gene sequences. The genes on the β-chain were highly similar between humans and pigs and the amino acid sequences of human and pig HBB genes at position 26 and positions 41–42 were identical. qPCR results showed that there were significant differences in the spatiotemporal expression patterns of the four genes (HBA, HBB, HBB-like and HBE) across breeds. Our results provide a foundation for follow-up studies assessing the relationship between the gene-encoding hemoglobin and β-thalassemia disease, as well as the construction of a gene-edited β-thalassemia miniature pig model to assess β-thalassemia treatments. Full article
(This article belongs to the Topic Animal Models of Human Disease)
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<p>Phylogenetic relationships and motif composition of human, mouse and pig hemoglobin-encoding genes. (<b>a</b>) Represents the phylogenetic tree constructed by MEGA 5.0 software and different gene colors represent different clades; (<b>b</b>) represents the motifs constructed from human, mouse and pig protein sequences. Different colored boxes represent different motifs.</p>
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<p>Sequence alignment of human <span class="html-italic">HBB</span> gene, pig <span class="html-italic">HBB</span> gene and pig <span class="html-italic">HBB-like</span> gene. (<b>a</b>) Sequence alignment of human <span class="html-italic">HBB</span>, pig <span class="html-italic">HBB</span> and <span class="html-italic">HBB-like</span> proteins; (<b>b</b>) The CDS sequence alignment of human <span class="html-italic">HBB</span> gene, pig <span class="html-italic">HBB</span> gene and pig <span class="html-italic">HBB-like</span> gene.</p>
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<p>Expression patterns of the <span class="html-italic">eight porcine hemoglobin-encoding genes</span> in the iswine database.</p>
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<p>Expression patterns of hemoglobin-encoding genes in adult pig different tissues. (<b>a</b>–<b>f</b>) represent expression of <span class="html-italic">HBA</span>, <span class="html-italic">HBB</span>, the <span class="html-italic">HBB-like</span> and <span class="html-italic">HBE</span> gene in Landrace (L), Yorkshire (Y), Wuzhishan (WZS), Songliao black (SL), Meishan (MS) and Tibetan (Z), respectively. Data are shown as mean ± SEM (n = 3 to 6), student’s <span class="html-italic">t</span>-test. Relative expression was calculated as: Lg2<sup>-ΔΔCt</sup>. <span class="html-italic">p</span> &lt; 0.05 was considered to be statistically significant. significant a, b, c indicate significant difference.</p>
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9 pages, 1486 KiB  
Communication
Identification of Body Size Determination Related Candidate Genes in Domestic Pig Using Genome-Wide Selection Signal Analysis
by Bing Pan, Haoyuan Long, Ying Yuan, Haoyuan Zhang, Yangyang Peng, Dongke Zhou, Chengli Liu, Baiju Xiang, Yongfu Huang, Yongju Zhao, Zhongquan Zhao and Guangxin E
Animals 2022, 12(14), 1839; https://doi.org/10.3390/ani12141839 - 19 Jul 2022
Cited by 6 | Viewed by 2559
Abstract
This study aimed to identify the genes related to the body size of pigs by conducting genome-wide selection analysis (GWSA). We performed a GWSA scan on 50 pigs belonging to four small-bodied pig populations (Diannan small-eared pig, Bama Xiang pig, Wuzhishan pig, and [...] Read more.
This study aimed to identify the genes related to the body size of pigs by conducting genome-wide selection analysis (GWSA). We performed a GWSA scan on 50 pigs belonging to four small-bodied pig populations (Diannan small-eared pig, Bama Xiang pig, Wuzhishan pig, and Jeju black pig from South Korea) and 124 large-bodied pigs. We used the genetic parameters of the pairwise fixation index (FST) and π ratio (case/control) to screen candidate genome regions and genes related to body size. The results revealed 47,339,509 high-quality SNPs obtained from 174 individuals, while 280 interacting candidate regions were obtained from the top 1% signal windows of both parameters, along with 187 genes (e.g., ADCK4, AMDHD2, ASPN, ASS1, and ATP6V0C). The results of the candidate gene (CG) annotation showed that a series of CGs (e.g., MSTN, LTBP4, PDPK1, PKMYT1, ASS1, and STAT6) was enriched into the gene ontology terms. Moreover, molecular pathways, such as the PI3K-Akt, HIF-1, and AMPK signaling pathways, were verified to be related to body development. Overall, we identified a series of key genes that may be closely related to the body size of pigs, further elucidating the heredity basis of body shape determination in pigs and providing a theoretical reference for molecular breeding. Full article
(This article belongs to the Special Issue The Myostatin Gene: Future Challenges in Animal Science)
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<p>Wide-genome selective signal analysis of 174 pigs by SNP dataset. (<b>a</b>) The distribution of θπ ratio (−Log10[θπ ratio(θπcase/θπcontrol)]) on the autosomal chromosome calculated by 40k sliding window size with 20k step. (<b>b</b>) The distribution of F<sub>ST</sub> on the autosomal chromosomes calculated by 40k sliding window size with 20k step.</p>
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<p>Annotation and functional enrichment of candidate genes of pig body size determination. Note: (<b>A</b>) Circle graphic of gene ontology (GO) enrichment. (<b>B</b>) Network graphic pattern of top 25 significant enriched molecular signaling pathways (KEGG).</p>
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13 pages, 18023 KiB  
Article
Genetic Diversity and Population Structures in Chinese Miniature Pigs Revealed by SINE Retrotransposon Insertion Polymorphisms, a New Type of Genetic Markers
by Cai Chen, Xiaoyan Wang, Wencheng Zong, Enrico D’Alessandro, Domenico Giosa, Yafen Guo, Jiude Mao and Chengyi Song
Animals 2021, 11(4), 1136; https://doi.org/10.3390/ani11041136 - 15 Apr 2021
Cited by 12 | Viewed by 2562
Abstract
RIPs have been developed as effective genetic markers and popularly applied for genetic analysis in plants, but few reports are available for domestic animals. Here, we established 30 new molecular markers based on the SINE RIPs, and applied them for population genetic analysis [...] Read more.
RIPs have been developed as effective genetic markers and popularly applied for genetic analysis in plants, but few reports are available for domestic animals. Here, we established 30 new molecular markers based on the SINE RIPs, and applied them for population genetic analysis in seven Chinese miniature pigs. The data revealed that the closed herd (BM-clo), inbreeding herd (BM-inb) of Bama miniature pigs were distinctly different from the BM-cov herds in the conservation farm, and other miniature pigs (Wuzhishan, Congjiang Xiang, Tibetan, and Mingguang small ear). These later five miniature pig breeds can further be classified into two clades based on a phylogenetic tree: one included BM-cov and Wuzhishan, the other included Congjiang Xiang, Tibetan, and Mingguang small ear, which was well-supported by structure analysis. The polymorphic information contents estimated by using SINE RIPs are lower than the predictions based on microsatellites. Overall, the genetic distances and breed-relationships between these populations revealed by 30 SINE RIPs generally agree with their evolutions and geographic distributions. We demonstrated the potential of SINE RIPs as new genetic markers for genetic monitoring and population structure analysis in pigs, which can even be extended to other livestock animals. Full article
(This article belongs to the Special Issue Pig Genetics)
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<p>The photos and geographical distribution of miniature pigs and Sicilian black pig. (<b>A</b>) The photos of miniature pigs and Sicilian black pig. (<b>B</b>) Geographical distributions of the seven miniature pig populations in China. (<b>C</b>) Geographical distributions of Sicilian black pigs in Italy. BM: Bama miniature pig, MG: Mingguang small ear pig, ST: Tibetan pig in Sichuan province, WZS: Wuzhishan pig, CX: Congjiang Xiang pig, SB: Sicilian black pig. BM-clo, BM-inb, and BM-cov are three subpopulations of Bama pigs, kept in the national conservation farm (BM-cov), a closed herd (BM-clo), and a highly inbred line (BM-inb) in Guangxi University. The abbreviation for pig applies to all figures and tables.</p>
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<p>A representative electropherogram of SINE RIPs used for detection in the pig populations. MG: Mingguang small ear pig, WZS: Wuzhishan pig, CX: Congjiang Xiang pig, BM-clo, BM-inb, and BM-cov are three subpopulations of Bama pigs, kept in the national conservation farm (BM-cov), a closed herd (BM-clo) and a highly inbred line (BM-inb) in Guangxi University. REF-16131, ESA2-58, REF-14902, REF-3719, REF-16266 were SINE RIP name.</p>
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<p>Heatmap of the fixation indices (F<sub>ST</sub>) between miniature pigs. The higher F<sub>ST</sub> estimated is in red, the lower F<sub>ST</sub> estimated is in green.</p>
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<p>Population structure of seven Chinese miniature pigs and Sicilian black pigs. (<b>A</b>) Graphical representation of the results generated by Structure software with K 2–7. (<b>B</b>) UPGMA tree on Nei’s genetic distances. (<b>C</b>) PCA plot for eight pig populations; distribution along the first two eigenvectors.</p>
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16 pages, 1776 KiB  
Article
Genome-Wide Characterization and Comparative Analyses of Simple Sequence Repeats among Four Miniature Pig Breeds
by Hongyang Wang, Yang Fu, Peng Gu, Yingying Zhang, Weilong Tu, Zhe Chao, Huali Wu, Jianguo Cao, Xiang Zhou, Bang Liu, Jennifer J. Michal, Chun Fan and Yongsong Tan
Animals 2020, 10(10), 1792; https://doi.org/10.3390/ani10101792 - 2 Oct 2020
Cited by 8 | Viewed by 2917
Abstract
Simple sequence repeats (SSRs) are commonly used as molecular markers in research on genetic diversity and discrimination among taxa or breeds because polymorphisms in these regions contribute to gene function and phenotypically important traits. In this study, we investigated genome-wide characteristics, repeat units, [...] Read more.
Simple sequence repeats (SSRs) are commonly used as molecular markers in research on genetic diversity and discrimination among taxa or breeds because polymorphisms in these regions contribute to gene function and phenotypically important traits. In this study, we investigated genome-wide characteristics, repeat units, and polymorphisms of SSRs using sequencing data from SSR-enriched libraries created from Wuzhishan (WZS), Bama (BM), inbred Luchuan (LC) and Zangxiang (ZX) miniature pig breeds. The numbers and types of SSRs, distributions of repeat units and polymorphic SSRs varied among the four breeds. Compared to the Duroc pig reference genome, 2518 polymorphic SSRs were unique and common to all four breeds and functional annotation revealed that they may affect the coding and regulatory regions of genes. Several examples, such as FGF23, MYF6, IGF1R, and LEPROT, are associated with growth and development in pigs. Three of the polymorphic SSRs were selected to confirm the polymorphism and the corresponding alleles through fluorescence polymerase chain reaction (PCR) and capillary electrophoresis. Together, this study provides useful insights into the discovery, characteristics and distribution of SSRs in four pig breeds. The polymorphic SSRs, especially those common and unique to all four pig breeds, might affect associated genes and play important roles in growth and development. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Distributions of repeat units for different simple sequence repeat (SSR) types in the pig reference genome. (<b>A</b>–<b>E</b>) The distributions of repeat units in dinucleotide repeat (Di-SSR), trinucleotide repeat (Tri-SSR), tetranucleotide repeat (Tetra-SSR), pentanucleotide repeat (Penta-SSR) and hexanucleotide repeat (Hexa-SSR). The X axis represents repeat number, Y axis represents the count of the repeat unit corresponding to different colors.</p>
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<p>Distribution models of different repeat units among four miniature pig breeds. (<b>A</b>–<b>E</b>) Reading from left to right are the distributions of repeat units in Di-SSR, Tri-SSR, Tetra-SSR, Penta-SSR and Hexa-SSR, respectively. The X axis represents types of repeat unit, Y axis represents percentage of repeat units in corresponding total SSRs. The red, green, blue and brown dots connected by lines represent WZS, BM, LC and ZX, respectively.</p>
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<p>Overlapping analysis of SSRs among four pig breeds. The horizontal frames (in yellow) represent the total number of mapped SSRs with an SSLP more than 1 corresponding to the four pig breeds. The vertical frames (in black) show the SSR number corresponding to the bottom intersection groups.</p>
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<p>Enrichment analysis of functional genes affected by polymorphic SSRs.</p>
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<p>Different alleles of SSR located in chr1:272,578,714-272,578,954. The output data from capillary electrophoresis was analyzed by GeneMapper software (V2.2.0) and generated the allele report for 60 pigs. (<b>A</b>–<b>D</b>) Five alleles 224, 228, 230, 232 and 234 bp in length existed in chr1:272,578,714-272,578,954 bp are exampled in corresponding pig individuals. The X axis represents allele size, Y axis represents fluorescent intensity for different allele size, one or two peaks on the green line represents homozygosity and heterozygosity, respectively. The sample number W04 means the individual in the Wuzhishan pig breed. The sample number B06, B07 and B09 mean the individuals in Bama pig breed.</p>
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13 pages, 2837 KiB  
Article
Genomic Analysis Reveals Specific Patterns of Homozygosity and Heterozygosity in Inbred Pigs
by Ligang Wang, Yulian Mu, Linyang Xu, Kui Li, Jianlin Han, Tianwen Wu, Lan Liu, Qian Gao, Ying Xia, Guanyu Hou, Shulin Yang, Xiaohong He, George E. Liu and Shutang Feng
Animals 2019, 9(6), 314; https://doi.org/10.3390/ani9060314 - 1 Jun 2019
Cited by 8 | Viewed by 4653
Abstract
The inbred strain of miniature pig is an ideal model for biomedical research due to its high level of homozygosity. In this study, we investigated genetic diversity, relatedness, homozygosity, and heterozygosity using the Porcine SNP60K BeadChip in both inbred and non-inbred Wuzhishan pigs [...] Read more.
The inbred strain of miniature pig is an ideal model for biomedical research due to its high level of homozygosity. In this study, we investigated genetic diversity, relatedness, homozygosity, and heterozygosity using the Porcine SNP60K BeadChip in both inbred and non-inbred Wuzhishan pigs (WZSPs). Our results from multidimensional scaling, admixture, and phylogenetic analyses indicated that the inbred WZSP, with its unique genetic properties, can be utilized as a novel genetic resource for pig genome studies. Inbreeding depression and run of homozygosity (ROH) analyses revealed an average of 61 and 12 ROH regions in the inbred and non-inbred genomes of WZSPs, respectively. By investigating ROH number, length, and distribution across generations, we further briefly studied the impacts of recombination and demography on ROH in these WZSPs. Finally, we explored the SNPs with higher heterozygosity across generations and their potential functional implications in the inbred WZSP. We detected 56 SNPs showing constant heterozygosity with He = 1 across six generations in inbred pigs, while only one was found in the non-inbred population. Among these SNPs, we observed nine SNPs located in swine RefSeq genes, which were found to be involved in signaling and immune processes. Together, our findings indicate that the inbred-specific pattern of homozygosity and heterozygosity in inbred pigs can offer valuable insights for elucidating the mechanisms of inbreeding in farm animals. Full article
(This article belongs to the Collection Applications of Quantitative Genetics in Livestock Production)
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<p>Violin plot showing the distribution of heterozygosity across generations G17 to G22 for inbred Wuzhishan pigs (WZSPs) as compared to non-inbred pigs. x-axis: different generations (G17–G22) in inbred WZSPs and non-inbred pigs (labelled as GCC); y-axis: the values of heterozygosity.</p>
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<p>Multidimensional scaling analysis of the 108 individuals including 96 inbred strain and 12 non-inbred individuals. This analysis is based on genome-wide identity-by-state pairwise distances calculated with the PLINK software using 7714 linkage disequilibrium (LD)-filtered single nucleotide polymorphisms (SNPs). C1: first component; C2: second component.</p>
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<p>Population genetic structure and admixture estimation in 96 inbred WZSPs and the non-inbred population. From the top to the bottom is the clustering of 108 individuals when K = 2, 3, and 4, respectively. Individuals are shown as a thin vertical line colored in proportion to their estimated ancestry.</p>
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<p>Neighbor-joining tree of the 96 inbred pigs and 12 non-inbred pigs. Individual and breed relationships among 108 pigs illustrated by genetic distances estimated using 7714 LD-filtered SNPs.</p>
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<p>Total number of runs of homozygosity (ROHs) and average size of the genome covered by ROHs across inbred and non-inbred WZSPs. (<b>A</b>) The number of ROHs belonging to the three size classes: small (&lt;100 Kb), medium (0.1 to 5 Mb), and large (&gt;5 Mb) for each generation in inbred and non-inbred WZSPs. y-axis: the total number of ROHs. (<b>B</b>) The average size of the genome that is covered by the particular ROH size class in one individual averaged for each group. y-axis: the average ROH size in Mb.</p>
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<p>Number of ROHs and sum of ROH sizes for each inbred and non-inbred WZSP. Number of ROHs and sum of ROHs detected for each of 108 individuals genotyped by the Illumina Porcine 60 K SNP chip. Non-inbred pigs are shown in black, and six generations in inbred pigs are indicated by various colors.</p>
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<p>Distribution of ROHs for inbred and non-inbred WZSPs along a chromosome. The relative chromosomal position on a chromosome was calculated by standardizing the original physical position by the chromosome length: a value of zero corresponds to the beginning of a chromosome and a value of one corresponds to the end. The distributions are averaged across all chromosomes. Non-inbred pigs are shown in black, and six generations in inbred pigs are indicated by various colors. x-axis: the relative chromosomal position on a chromosome; y-axis: relative frequency of ROHs.</p>
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17 pages, 2557 KiB  
Article
Transcriptomic Analysis of Coding Genes and Non-Coding RNAs Reveals Complex Regulatory Networks Underlying the Black Back and White Belly Coat Phenotype in Chinese Wuzhishan Pigs
by Qiao Xu, Ximing Liu, Zhe Chao, Kejun Wang, Jue Wang, Qiguo Tang, Yabiao Luo, Jie Zheng, Shuyi Tan and Meiying Fang
Genes 2019, 10(3), 201; https://doi.org/10.3390/genes10030201 - 7 Mar 2019
Cited by 7 | Viewed by 5159
Abstract
Coat color is one of the most important characteristics for distinguishing Chinese indigenous pig breeds. In Wuzhishan pigs, the animals have black on the back and white on the abdomen. However, the molecular genetic basis of this phenotype is unclear. In this study, [...] Read more.
Coat color is one of the most important characteristics for distinguishing Chinese indigenous pig breeds. In Wuzhishan pigs, the animals have black on the back and white on the abdomen. However, the molecular genetic basis of this phenotype is unclear. In this study, we used high-throughput RNA sequencing to compare expression profiles of coding and non-coding RNAs from white and black skin samples obtained from individual Wuzhishan pigs. The expression profiling revealed that 194 lncRNAs (long non-coding RNAs), 189 mRNAs (messenger RNAs), and 162 miRNAs (microRNAs) had significantly different levels of expression (|log2 fold change| > 1, p-value < 0.05) in white and black skin. Compared to RNA levels in black skin, white skin had higher levels of expression of 185 lncRNAs, 181 mRNAs, and 23 miRNAs and lower levels of expression of 9 lncRNAs, 8 mRNAs, and 139 miRNAs. Functional analysis suggested that the differentially expressed transcripts are involved in biological processes such as melanin biosynthesis, pigmentation and tyrosine metabolism. Several key genes involved in melanogenesis, including MLANA, PMEL, TYR, TYRP1, DTC, TRPM1 and CAMK2A, had significantly different levels of expression in the two skin tissues. Potential lncRNA–miRNA–gene interactions were also examined. A total of 15 lncRNAs, 11 miRNAs and 7 genes formed 23 lncRNA–miRNA–gene pairs, suggesting that complex regulatory networks of coding and non-coding genes underlie the coat color trait in Wuzhishan pigs. Our study provides a foundation for understanding how lncRNA, miRNA and genes interact to regulate coat color in black-back/white-belly pigs. We also constructed lncRNA–miRNA–gene interaction networks to elucidate the complex molecular mechanisms underlying skin physiology and melanogenesis. The results extend our knowledge about the diversity of coat color among different domestic animals and provide a foundation for studying novel mechanisms that control coat color in Chinese indigenous pigs. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>A Wuzhishan pig, showing the characteristic black back and white belly.</p>
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<p>Identification of long non-coding RNAs (lncRNAs) in skin transcriptome. (<b>A</b>) Workflow for lncRNA identification. (<b>B</b>) Candidate lncRNAs were identified by using four applications: CNCI (coding-non-coding-index), CPC (coding potential calculator), PFAM-scan v1.3 and CPAT (coding potential assessment tool) which detect and remove putative protein-coding transcripts.</p>
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<p>Comparison of genomic architecture and expression level of lncRNAs and messenger RNAs (mRNAs). (<b>A</b>) Distribution of lengths of lncRNAs and mRNAs. (<b>B</b>) Distribution of number of exons of lncRNAs and mRNAs. (<b>C</b>) Expression level of lncRNAs and mRNAs, calculated as log<sub>10</sub>(FPKM + 1). FRKM: Fragments Per Kilobase of exon per Million fragments mapped.</p>
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<p>Comparison of genomic architecture and expression level of lncRNAs and messenger RNAs (mRNAs). (<b>A</b>) Distribution of lengths of lncRNAs and mRNAs. (<b>B</b>) Distribution of number of exons of lncRNAs and mRNAs. (<b>C</b>) Expression level of lncRNAs and mRNAs, calculated as log<sub>10</sub>(FPKM + 1). FRKM: Fragments Per Kilobase of exon per Million fragments mapped.</p>
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<p>Differentially expressed lncRNAs, mRNAs and miRNAs in skin. Differential expression is shown as log<sub>2</sub> fold change (FC). RNAs that are relatively more abundant in white skin are shown using red and those that are relatively less abundant are shown in green. Color intensity represents FC magnitude.</p>
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<p>LncRNA–miRNA–gene interaction network. Rectangles, diamonds and ovals represent lncRNAs, miRNAs and genes, respectively. Red indicates that the RNA is relatively more abundant, and green indicates that the RNA is relatively less abundant in white skin than in black skin.</p>
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<p>Quantitative PCR validation. Differentially expressed genes (<b>A</b>), lncRNAs (<b>B</b>) and miRNAs (<b>C</b>) were confirmed by quantitative PCR. Results are shown as means ± standard deviation of triplicate measurements. * indicates <span class="html-italic">p</span> &lt; 0.05, ** indicates <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Quantitative PCR validation. Differentially expressed genes (<b>A</b>), lncRNAs (<b>B</b>) and miRNAs (<b>C</b>) were confirmed by quantitative PCR. Results are shown as means ± standard deviation of triplicate measurements. * indicates <span class="html-italic">p</span> &lt; 0.05, ** indicates <span class="html-italic">p</span> &lt; 0.01.</p>
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440 KiB  
Article
Molecular Characterization of Tob1 in Muscle Development in Pigs
by Jing Yuan, Ji-Yue Cao, Zhong-Lin Tang, Ning Wang and Kui Li
Int. J. Mol. Sci. 2011, 12(7), 4315-4326; https://doi.org/10.3390/ijms12074315 - 4 Jul 2011
Cited by 9 | Viewed by 7480
Abstract
Cell proliferation is an important biological process during myogenesis. Tob1 encoded a member of the Tob/BTG family of anti-proliferative proteins. Our previous LongSAGE (Long Serial Analysis of Gene Expression) analysis suggested that Tob1 was differentially expressed during prenatal skeletal muscle development. In this [...] Read more.
Cell proliferation is an important biological process during myogenesis. Tob1 encoded a member of the Tob/BTG family of anti-proliferative proteins. Our previous LongSAGE (Long Serial Analysis of Gene Expression) analysis suggested that Tob1 was differentially expressed during prenatal skeletal muscle development. In this study, we isolated and characterized the swine Tob1 gene. Subsequently, we examined Tob1 chromosome assignment, subcellular localization and dynamic expression profile in prenatal skeletal muscle (33, 65 and 90 days post-conception, dpc) from Landrace (lean-type) and Tongcheng pigs (obese-type). The Tob1 gene was mapped to pig chromosome 12 (SSC12). The Tob1 protein was distributed throughout the nucleus and cytoplasm of PK15 cells. During prenatal skeletal muscle development, Tob1 was up-regulated and highly expressed in skeletal muscle at 90 dpc in Tongcheng pigs but peaked at 65 dpc in Landrace pigs. This result suggested that there were different proliferation patterns during myogenesis between Tongcheng and Landrace pigs. During postnatal skeletal muscle development, the expression of Tob1 increased with aging, indicating that the proliferation potential of myoblasts decreased in postnatal muscle development. In tissues of adult wuzhishan miniature pigs, the Tob1 gene was highly expressed in skeletal muscle. The expression of Tob1 was significantly increased at day 6 during C2C12 differentiation time, suggesting a possible role in skeletal muscle development. Therefore, this study indicated that Tob1 perhaps played an important role in skeletal muscle development. Full article
(This article belongs to the Section Biochemistry)
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<p>The conserved functional domains of the swine Tob1 protein.</p>
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<p>The expression profile of <span class="html-italic">Tob1</span> in longissimus dorsi muscle from Tongcheng and Landrace pigs at different development stages by real time PCR. T33, T65, T90, N2, N28, A represented longissimus dorsi muscle from Tongcheng pigs at 33, 65, 90dpc, at postnatal 2, 28 days and adult periods, respectively. L33, L65, L90 represented longissimus dorsi muscle from Landrace pigs at 33, 65, 90 dpc, respectively.</p>
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<p>The expression profile of <span class="html-italic">Tob1</span> in different tissues of adult pigs. The tissues examined were (1) lung; (2) biceps femoris; (3) spleen; (4) heart; (5) stomach; (6) large intestine; (7) lymph; (8) small intestine; (9) liver; (10) brain; (11) longissimus dorsi (LD); (12) kidney; (13) fat; (14) gastrocnemius; and (15) semitendinosus. The values shown are Mean ± SD levels of <span class="html-italic">Tob1</span> from three independent experiments. The level of <span class="html-italic">Tob1</span> in spleen was arbitrarily set to 1.0.</p>
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<p>Expression pattern of the mouse <span class="html-italic">Tob1</span> gene during C2C12 differentiation time. The values were normalized to GAPDH mRNA expression level. Day 0 expression level was set to 1. The error bars indicate Mean ± SD (n = 3). 0: C2C12 myoblast cells; 1–7: days 1–7 of myoblast differentiation into myotubes.</p>
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<p>Subcellular localization of the pEGFP-Tob1 fusion protein in PK15 cells. <b>(A)</b> Distribution of fluorescence after transfection of the pEGFP-Tob1 vector; <b>(B)</b> PK15 nuclei stained with Hoechst 33342; <b>(C)</b> The merged image of A and B; <b>(D)</b> GFP detected in PK15 cells transfected by the pEGFP-N3 empty vector; <b>(E)</b> Nuclei of PK15 cells transfected by the pEGFP-N3 empty vector; <b>(F)</b> The merged image of D and E.</p>
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