Genomic architecture of heritability and genetic correlations for intramuscular and back fat contents in Duroc pigs1
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Genetic parameters such as heritability and correlations of fat traits in a Duroc population were dissected using molecular markers. The heritabilities of intramuscular fat in 2 muscles, the gluteus medius and LM, and back fat were 0.54, 0.48, and 0.23, respectively. The genetic correlations were well estimated with standardized SNP effects, being 0.65 between intramuscular fat traits and ∼0.37 between any intramuscular fat trait and back fat. Genetic correlations were overestimated when ignoring molecular information. Twelve chromosomes showed additive genetic variance for intramuscular fat compared with 8 for back fat. Population structure was accommodated using 4 different models. The number of significant, P < 5 × 10(-5) (suggestive, P < 2 × 10(-3)), SNP varied across models and ranged from 0 to 4 (2 to 261) for intramuscular fat in the gluteus medius, from 0 to 57 (9 to 564) for intramuscular fat in the LM, and from 3 to 4 (22 to 168) for back fat. Several SNP showed significant deviations from an additive mode of action. Only 2 SNP significantly affected 2 traits simultaneously.Keywords:
Intramuscular fat
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Found SNPs between Purenkong and Jinpumkong 2 using direct sequencing method and to map these genes to soybean linkage map.To discover SNPs,a total of 76 protein related genes were selected and primers were designed.Among 49 loci showing high-quality sequence,11 SNPs were identified in 7 loci between the parental genotypes.Average SNP frequency between the parental genotypes was one SNP per 2 400 bp.With SNP genotyping in 90 RILs,these genes were mapped in exiting linkage map.
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Marbling is characterized by the amount and distribution of intramuscular fat (IMF). The AKIRIN2, TTN, EDG1, and MYBPC1 genes are well-known marbling-related genes, which were first identified in Japanese Black beef cattle. The objectives of this study were to analyze the correlation of the expression levels of these genes in the longissimus muscle (LM) with IMF content, and the associations between the single nucleotide polymorphisms (SNPs) in these genes and IMF content in Chinese Qinchuan cattle (n = 350). The association analyses showed that the g.42041062G>T SNP in the EDG1 gene was significantly associated with IMF content in Qinchuan (p < 0.05). Further, the expressions of the EDG1 and MYBPC1 were up-regulated (p < 0.05) in LM of Qinchuan cattle group with low IMF content. Down-regulations of the AKIRIN2 and TTN genes (p < 0.05 and p < 0.01, respectively) were observed in the Qinchuan cattle group with high IMF content. These results suggest possible effects of the expression levels of selected genes on IMF content in the LM, and the g.42041062G>T SNP in the EDG1 gene might be useful as a molecular marker for IMF content in Qinchuan.
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A set of 47 SNP (single nucleotide polymorphisms) markers (Cabezas et al. 2011) was tested for their usefulness to improve a genetic map from the cross of GF.GA‑52-42 x 'Solaris' previously established with SSR markers (Schwander et al. 2012). 55.3 % of the SNPs showed informative segregation and 26 SNP markers were localized on 16 of the 19 linkage groups of grapevine. Five chromosome regions with large gaps of recombining SSR markers could be equipped by positioning a SNP marker there. One SNP marker, VV10992, was found linked to the major resistance locus Rpv10 and should be applicable for marker-assisted selection.
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AIM: To identify the susceptible gene (s) for type 2 diabetes in the prevousely mapped region, 1p36.33-p36.23, in Han population of North China using single nucleotide polymorphisms (SNPs) and to analyze the haplotypes of the gene (s) related to type 2 diabetes.METHODS: Twenty three SNPs located in 10 candidate genes in the mapped region were chosen from public SNP domains with bioinformatic methods, and the single base extension (SBE) method was used to genotype the loci for 192 sporadic type 2 diabetes patients and 172 normal individuals, all with Hah ethical origin, to perform this casecontrol study. The haplotypes with significant difference in the gene (s) were further analyzed.RFSULTS: Among the 23 SNPs, 8 were found to be common in Chinese Han population. Allele frequency of one SNP,rs436045 in the protein kinase C/ζgene (PRKCZ) was statistically different between the case and control groups (P＜0.05). Furthermore, haplotypes at five SNP sites of PRKCZ gene were identified.CONCLUSION: PRKCZgene may be associated with type 2 diabetes in Hah population in North China. The haplotypes at five SNP sites in this gene may be responsible for this association.
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Summary Intramuscular fat (IMF) is an important meat‐quality trait of pigs, which influences pork’s shearing force, hydraulics, tenderness and juicy flavor. However, to achieve a higher percentage of lean meat, pigs with lower backfat thickness (BF) are intensively selected for, which may lead to a reduction in pork quality. Therefore, the objective of this study was to locate loci that affect IMF without changing BF. A single‐step GWAS was performed on 950 Duroc pigs genotyped by a 50K SNP chip in order to detect genomic variants relevant to IMF and BF. The significant SNPs detected were afterwards divided into a BF subset (seven SNPs), an IMF subset (11 SNPs) and a subset of both traits (12 SNPs), according to their P ‐value and LD. After SNP and QTL annotation, our results indicated that SSC1: 167938652, 166363826, 164829874 and 167171587 might be associated with IMF without changing BF. In the subset of both traits, we found that the combined effect of ALGA0006602 (SSC1: 159538854) and 12784636 (SSC1: 160773437) might improve the IMF without changing BF. Our gene annotation result showed that TLE3 , ITGA11 , SMAD6 , PAQR5 and [ RNF152 A/G × MC4R A/A ] genes might affect IMF independently of BF. We believe that the SNPs and genes identified in this study will be valuable for the future molecular breeding of IMF in Duroc pigs.
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The present study aimed to identify the molecular markers for genes that influence intramuscular fat content (IFC), but not average backfat thickness (ABT). A total of 330 Suhuai pigs were slaughtered, and measurements of IFC and ABT were obtained. Phenotypic and genetic correlations between IFC and ABT were calculated. Thirteen single nucleotide polymorphisms (SNPs) among 12 candidate genes for IFC were analyzed, including FABP3, LIPE, IGF1, IGF2, LEP, LEPR, MC4R, PHKG1, RETN, RYR1, SCD, and UBE3C. Associations of the evaluated SNPs with IFCIFC and ABT were performed. Our results showed that the means of IFC and ABT were 1.99 ± 0.03 % and 26.68 ± 0.28 mm, respectively. The coefficients of variation (CVs) of IFC and ABT were 31.21% and 19.36%, respectively. The phenotypic and genetic correlations between IFC and ABT were moderate. Only the FABP3 (rs1110770079) was associated with IFC (p < 0.05) but not with ABT. Besides, there was a tendency for associations of RYR1 (rs344435545) and SCD (rs80912566) with IFC (p < 0.1). Our results indicated that the FABP3 (rs1110770079) SNP could be used as a marker to improve IFC without changing ABT in the Suhuai pig breeding system.
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Previous association studies revealed several single nucleotide polymorphisms (SNPs) that explained the observed phenotypic variation for meat tenderness and long-chain omega-3 polyunsaturated fatty acid (PUFA) content of Australian lamb. To confirm the validity of these associated SNPs at predicting meat tenderness and omega-3 PUFA content, an independent validation study was designed. The OvineSNP50 genotypes of these animals were used to impute the 192 SNP Meat Quality Research (MQR) panel genotypes on nearly 6200 animals from the Cooperative Research Centre for Sheep Industry Innovation Information Nucleus Flock and Sheep Genomics Falkiner Memorial Field Station flock. Association analysis revealed numerous SNP from the 192 SNP MQR panel that were associated with carcass quality – fat depth at the C-site and eye muscle depth; shear force at day 1 and day 5 after slaughter (SF1 and SF5); and omega-3 PUFA content at P < 0.01. However, 1 SNP was independently validated for SF5 (i.e. CAST_101781475). The magnitude of the effect of each significant SNP and the relative allele frequencies across Merino-, Maternal- and Terminal-sired progeny was determined. The independently validated SNP for SF5 and the associated SNP with omega-3 PUFA content will accelerate efforts to improve these phenotypic traits in Australian lamb.
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Abstract We conducted genome-wide linkage scans using both microsatellite and single-nucleotide polymorphism (SNP) markers. Regions showing the strongest evidence of linkage to alcoholism susceptibility genes were identified. Haplotype analyses using a sliding-window approach for SNPs in these regions were performed. In addition, we performed a genome-wide association scan using SNP data. SNPs in these regions with evidence of association ( P ≦ 0.0001) were identified. We found that the general patterns for nonparametric linkage (NPL) scores from SNP and microsatellite genome scans are fairly consistent; however, the peaks of the NPL scores are mostly higher in the SNP-based scan than those using microsatellite markers, which might be located at different regions. Furthermore, SNPs identified from linkage screens were not so strongly associated with alcoholism (the most significant SNP had a p -value of 0.030) as those identified from association genomic screening (the most significant SNP had a p -value of 2.0 × 10 -8 ).
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