Identification of splice variants,expression analysis and single nucleotide polymorphisms of the PRMT2 gene in dairy cattle

Protein arginine N-methyltransferase 2 (PRMT2), also named HRMT1L1, belongs to the Bovine Protein arginine N-methyltransferase (PRMT) genes which are involved in the immune response. To explore the variability of the PRMT2 gene and resistance to mastitis in cows, splice variant (SV), and single nucleotide polymorphisms (SNPs) were identified in this study. A SV (PRMT2-SV) lacking exon 7 (98-bp) of the PRMT2 gene was found in healthy and mastitis-infected mammary gland tissues. Two of four SNPs were significantly associated with bovine milk yield and protein content. Further, we estimated the relative expression of PRMT2-SV in the mammary gland tissue of dairy cattle by using quantitative real-time polymerase chain reaction. The result showed that expression of the PRMT2-SV mRNA was significantly upregulated 4.02-fold (p < 0.05) in infected mammary tissues (n = 5) compared to healthy tissues (n = 5). Our findings reveal that PRMT2-SV may play an important role in mastitis resistance in dairy cattle. The SNPs may be used as a possible candidate SNPs for marker-assisted selection and management in Chinese Holstein cattle.     

One SNP in the 3′-UTR of HMGB1 gene affects the binding of target bta-miR-223 and is involved in mastitis in dairy cattle

High-mobility group box protein 1 (HMGB1) gene has a universal sentinel function for nucleic acid-mediated innate immune responses and acts as a pathogenic mediator in the inflammatory disease. In an effort to identify the functional single-nucleotide polymorphism (SNP) in the 3′-untranslated region (UTR) of the bovine HMGB1 gene that affects the binding to its target microRNA, first, the expression of HMGB1 mRNA in different genotypes and its candidate bta-miR-223 was investigated. Quantitative real-time polymerase chain reaction results showed that the relative expression of HMGB1 mRNA in cows with the genotype GG is significantly higher than those in cows with the genotype AA (P?<?0.05). The expression of bta-miR-223 was significantly upregulated by 1.95-fold (P?<?0.05) in the bovine mastitis-infected mammary gland tissues compared with that in the healthy tissues. Subsequently, luciferase assay indicated that the HMGB1 expression was directly targeted by bta-miR-223 in human embryo kidney 293 T (HEK 293T)?cells. One novel SNP (g. +2776 A?>?G) in the HMGB1 3′-UTR, altering the binding of HMGB1 and bta-miR-223, was found to be associated with somatic count scores in cows. Taken together, the g. +2776 A?>?G-GG was an advantageous genotype which can be used as a candidate functional marker for mastitis resistance breeding program.     

Alternative Exon Usage in the Single CPT1 Gene of Drosophila Generates Functional Diversity in the Kinetic Properties of the Enzyme: DIFFERENTIAL EXPRESSION OF ALTERNATIVELY SPLICED VARIANTS IN DROSOPHILA TISSUES*

The Drosophila melanogaster genome contains only one CPT1 gene (Jackson, V. N., Cameron, J. M., Zammit, V. A., and Price, N. T. (1999) Biochem. J. 341, 483–489). We have now extended our original observation to all insect genomes that have been sequenced, suggesting that a single CPT1 gene is a universal feature of insect genomes. We hypothesized that insects may be able to generate kinetically distinct variants by alternative splicing of their single CPT1 gene. Analysis of the insect genomes revealed that (a) the single CPT1 gene in each and every insect genome contains two alternative exons and (ii) in all cases, the putative alternative splicing site occurs within a small region corresponding to 21 amino acid residues that are known to be essential for the binding of substrates and of malonyl-CoA in mammalian CPT1A. We performed PCR analyses of mRNA from different Drosophila tissues; both of the anticipated splice variants of CPT1 mRNA were found to be expressed in all of the tissues tested (both in larvae and adults), with the expression level for one of the splice variants being significantly different between flight muscle and the fat body of adult Drosophila. Heterologous expression of the full-length cDNAs corresponding to the two putative variants of Drosophila CPT1 in the yeast Pichia pastoris revealed two important differences between the properties of the two variants: (i) their affinity (K_0.5) for one of the substrates, palmitoyl-CoA, differed by 5-fold, and (ii) the sensitivity to inhibition by malonyl-CoA at fixed, higher palmitoyl-CoA concentrations was 2-fold different and associated with different kinetics of inhibition. These data indicate that alternative splicing that specifically affects a structurally crucial region of the protein is an important mechanism through which functional diversity of CPT1 kinetics is generated from the single gene that occurs in insects.     

In vitro and in silico analysis reveals an efficient algorithm to predict the splicing consequences of mutations at the 5' splice sites

We have found that two previously reported exonic mutations in the PINK1 and PARK7 genes affect pre-mRNA splicing. To develop an algorithm to predict underestimated splicing consequences of exonic mutations at the 5′ splice site, we constructed and analyzed 31 minigenes carrying exonic splicing mutations and their derivatives. We also examined 189 249 U2-dependent 5′ splice sites of the entire human genome and found that a new variable, the SD-Score, which represents a common logarithm of the frequency of a specific 5′ splice site, efficiently predicts the splicing consequences of these minigenes. We also employed the information contents (R_i) to improve the prediction accuracy. We validated our algorithm by analyzing 32 additional minigenes as well as 179 previously reported splicing mutations. The SD-Score algorithm predicted aberrant splicings in 198 of 204 sites (sensitivity = 97.1%) and normal splicings in 36 of 38 sites (specificity = 94.7%). Simulation of all possible exonic mutations at positions −3, −2 and −1 of the 189 249 sites predicts that 37.8, 88.8 and 96.8% of these mutations would affect pre-mRNA splicing, respectively. We propose that the SD-Score algorithm is a practical tool to predict splicing consequences of mutations affecting the 5′ splice site.     

Differential expression of alternative splice variants of CTLA4 in Kuwaiti autoimmune disease patients

Cytotoxic T lymphocyte associated antigen4 (CTLA4) is a candidate susceptibility gene for the study of autoimmune diseases. The present study sought to explore the expression profile of the CTLA4 gene in autoimmune patients, such as rheumatoid arthritis (RA), systemic lupus erythematous (SLE) and Hashimoto's thyroiditis (HT), compared to healthy controls (HCs). A total of 88 (22 RA, 22 SLE 22 HT, 22 HCs) age-, gender- and ethnicity-matched individuals were recruited. The hypersensitive capillary electrophoresis method was employed to detect the CTLA4 splice variants. PCRs of the patient's cDNA using CTLA4-specific primers followed by cloning and sequencing were used to distinguish the various splice variants. The biochemical properties of all known CTLA4 variants were analysed using the ExPASy and ESEfinder programmes. Six alternatively spliced variants of the CTLA4 gene were detected in this study. These included mCTLA4-672, sCTLA4-562, N-CTLA4-292, L-CTLA4-277, ssCTLA4-214 and K-CTLA4-142 bp. K-CTLA4-142 bp and N-CTLA4-292 bp represented two novel splice variants of the CTLA4 gene. A reduction in the frequency of mCTLA4-672 bp and sCTLA4-562 bp was observed in SLE and RA patients compared to healthy controls. The shortest splice variant, K-CTLA4-142 bp, was predominantly detected in all of the tested cohorts, while the decreased expression of the N-CTLA4-292 bp variant was observed in the autoimmune subjects. The exonic splice enhancer motifs of the SRp40 protein were found exactly at the splice junction of wCTLA4 (-ACAGAGC-, 2.7) and K-CTLA4 (-TGAAAAG-, 3.37), and that of the SRp55 protein was found at the splice junction of L-CTLA4 (-TGTGTG-, 2.82). Our study highlights the discrepancies in the expression spectrum of the CTLA4 gene in autoimmune patients and healthy subjects. The abnormal expression pattern of the CTLA4 gene in autoimmune patients suggests that in addition to allelic variation, the expression pattern of CTLA4 could contribute to autoimmunity.     

Aberrant 5' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization

Despite a growing number of splicing mutations found in hereditary diseases, utilization of aberrant splice sites and their effects on gene expression remain challenging to predict. We compiled sequences of 346 aberrant 5′splice sites (5′ss) that were activated by mutations in 166 human disease genes. Mutations within the 5′ss consensus accounted for 254 cryptic 5′ss and mutations elsewhere activated 92 de novo 5′ss. Point mutations leading to cryptic 5′ss activation were most common in the first intron nucleotide, followed by the fifth nucleotide. Substitutions at position +5 were exclusively G>A transitions, which was largely attributable to high mutability rates of C/G>T/A. However, the frequency of point mutations at position +5 was significantly higher than that observed in the Human Gene Mutation Database, suggesting that alterations of this position are particularly prone to aberrant splicing, possibly due to a requirement for sequential interactions with U1 and U6 snRNAs. Cryptic 5′ss were best predicted by computational algorithms that accommodate nucleotide dependencies and not by weight-matrix models. Discrimination of intronic 5′ss from their authentic counterparts was less effective than for exonic sites, as the former were intrinsically stronger than the latter. Computational prediction of exonic de novo 5′ss was poor, suggesting that their activation critically depends on exonic splicing enhancers or silencers. The authentic counterparts of aberrant 5′ss were significantly weaker than the average human 5′ss. The development of an online database of aberrant 5′ss will be useful for studying basic mechanisms of splice-site selection, identifying splicing mutations and optimizing splice-site prediction algorithms.