Impregnation of the Bacterial Cellulose Membrane with Biologically Produced Silver Nanoparticles

Different wound dressings with antibacterial property have been surveyed and one among them is bacterial cellulose (BC). Since the BC does not have antibacterial property, the biologically produced silver nanoparticles (SNPs) were impregnated into the BC. For the BC production, Hestrin–Schramm broth was used. Formation of the BC was proven by enzymatic hydrolysis. For SNPs production, the bacterial supernatant was treated with AgNO₃ and formation of SNPs was monitored through spectrophotometer, TEM and XRD. For impregnation of SNPs into the BC, the cleaned membrane was placed in the bacterial supernatant that contained 1 mmol of AgNO₃. The antibacterial assay was done for the BC/SNPs. Enzymatic hydrolysis proved the presence of the BC. Spectrophotometer and XRD results showed the formation of SNPs. TEM analysis revealed the presence of SNPs with sizes around 5–100 nm. SEM micrographs showed the impregnation of SNPs into the BC. Antibacterial test exhibited the antibacterial activity of the BC/SNPs.     

Eight SNPs of the Myf5 gene and diplotypes associated with growth and reproductive traits in Jinghai yellow chicken

The objective of this study was to analyze possible associations between single nucleotide polymorphisms (SNPs) in the Myf5 gene with chicken growth and reproductive traits. SNPs in Myf5 of the Jinghai yellow chicken were detected by the polymerase chain reaction single-strand conformation polymorphism method and the haplotypes were analyzed. Eight SNPs were identified in the exons of Myf5. Nine haplotypes were established in a group of 379 Jinghai yellow chickens. In terms of growth traits, least square analysis showed that haplotype H1H5 had significant effects on weight at weeks 8 and 12 (P < 0.05). Haplotype H2H6 had significant effects on weight at weeks 12 and 14 (P < 0.05). For reproductive traits, H1H5 had higher body weight for the first egg than H1H4 and H2H4 (P < 0.05), and H1H3 (P < 0.01). H1H3 had a poor performance in average egg weight at 300 days. On the other hand, H1H3 had an advantage in egg number at 300 days. The results showed that SNPs of Myf5 have certain effects on growth and reproductive traits in Jinghai yellow chickens, which can be used in marker-assisted selection to accelerate chicken genetic progress.     

SNP characteristics predict replication success in association studies

Successful independent replication is the most direct approach for distinguishing real genotype–disease associations from false discoveries in genome-wide association studies (GWAS). Selecting SNPs for replication has been primarily based on P values from the discovery stage, although additional characteristics of SNPs may be used to improve replication success. We used disease-associated SNPs from more than 2,000 published GWASs to identify predictors of SNP reproducibility. SNP reproducibility was defined as a proportion of successful replications among all replication attempts. The study reporting association for the first time was considered to be discovery and all consequent studies targeting the same phenotype replications. We found that ?Log(P), where P is a P value from the discovery study, is the strongest predictor of the SNP reproducibility. Other significant predictors include type of the SNP (e.g., missense vs intronic SNPs) and minor allele frequency. Features of the genes linked to the disease-associated SNP also predict SNP reproducibility. Based on empirically defined rules, we developed a reproducibility score (RS) to predict SNP reproducibility independently of ?Log(P). We used data from two lung cancer GWAS studies as well as recently reported disease-associated SNPs to validate RS. Minus Log(P) outperforms RS when the very top SNPs are selected, while RS works better with relaxed selection criteria. In conclusion, we propose an empirical model to predict SNP reproducibility, which can be used to select SNPs for validation and prioritization.     

Common vitamin D pathway gene variants reveal contrasting effects on serum vitamin D levels in African Americans and European Americans

Vitamin D deficiency is more common among African Americans (AAs) than among European Americans (EAs), and epidemiologic evidence links vitamin D status to many health outcomes. Two genome-wide association studies (GWAS) in European populations identified vitamin D pathway gene single-nucleotide polymorphisms (SNPs) associated with serum vitamin D [25(OH)D] levels, but a few of these SNPs have been replicated in AAs. Here, we investigated the associations of 39 SNPs in vitamin D pathway genes, including 19 GWAS-identified SNPs, with serum 25(OH)D concentrations in 652 AAs and 405 EAs. Linear and logistic regression analyses were performed adjusting for relevant environmental and biological factors. The pattern of SNP associations was distinct between AAs and EAs. In AAs, six GWAS-identified SNPs in GC, CYP2R1, and DHCR7/NADSYN1 were replicated, while nine GWAS SNPs in GC and CYP2R1 were replicated in EAs. A CYP2R1 SNP, rs12794714, exhibited the strongest signal of association in AAs. In EAs, however, a different CYP2R1 SNP, rs1993116, was the most strongly associated. Our models, which take into account genetic and environmental variables, accounted for 20 and 28 % of the variance in serum vitamin D levels in AAs and EAs, respectively.     

Effect of polymorphisms in the CSN3 (κ-casein) gene on milk production traits in Chinese Holstein Cattle

This study was designed to evaluate significant associations between single nucleotide polymorphisms (SNPs) and milk composition and milk production traits in Chinese Holstein cows. Six SNPs were identified in the κ-casein gene using pooled DNA sequencing. The identified SNPs were genotyped by Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) methods from 507 individuals. Out of six, we identified three non-synonymous SNPs (g.10888T>C, g.10924C>A and g.10944A>G) that changed in the protein product. SIFT (Sorting_Intolerant_From_Tolerant) prediction score (0.01) demonstrated that protein changed Isoleucine > Threonine (g.10888T>C) will affect the phenotypes. Significant associations between identified SNPs and three yield traits (milk, protein and fat) and two composition traits (fat and protein percentages) were found whereas it did not reach significance for fat percentage in haplotypes association. Importantly, the significant SNPs in our results showed a large proportion of the phenotypic variation of milk protein yield and concentration. Our results suggest that CSN3 is an important candidate gene that influences milk production traits, and identified polymorphisms and haplotypes could be used as a genetic marker in programs of marker-assisted selection for the genetic improvement of milk production traits in dairy cattle.     

A high-throughput SNP array in the amphidiploid species Brassica napus shows diversity in resistance genes

Single-nucleotide polymorphisms (SNPs)are molecular markers based on nucleotide variation and can be used for genotyping assays across populations and to track genomic inheritance. SNPs offer a comprehensive genotyping alternative to whole-genome sequencing for both agricultural and research purposes including molecular breeding and diagnostics, genome evolution and genetic diversity analyses, genetic mapping, and trait association studies. Here genomic SNPs were discovered between four cultivars of the important amphidiploid oilseed species Brassica napus and used to develop a B. napus Infinium? array containing 5,306 SNPs randomly dispersed across the genome. Assay success was high, with >94 % of these producing a reproducible, polymorphic genotype in the 1,070 samples screened. Although the assay was designed to B. napus, successful SNP amplification was achieved in the B. napus progenitor species, Brassica rapa and Brassica oleracea, and to a lesser extent in the related species Brassica nigra. Phylogenetic analysis was consistent with the expected relationships between B. napus individuals. This study presents an efficient custom SNP assay development pipeline in the complex polyploid Brassica genome and demonstrates the utility of the array for high-throughput genotyping in a number of related Brassica species. It also demonstrates the utility of this assay in genotyping resistance genes on chromosome A7, which segregate amongst the 1,070 samples.     

Mutations in microRNA Binding Sites of CEP Genes Involved in Cancer

The CEP genes play a pivotal role in the replication of the cell. CEP family proteins form the major constituents of the centrosome and play a prominent role in centriole biogenesis and in cell replication. Alteration in CEP genes will result in disruption of cell cycle that may in turn cause cancer. In our study, we found that 16 of the CEP genes are a potential target to miRNA that binds to complementary sequences in 3′untranslated regions (UTR) of mRNA and stop them from translation. Single nucleotide polymorphisms (SNPs) occurring naturally in such miRNA binding site can alter the miRNA: mRNA interaction and can significantly alter gene expression. We developed a systematic computational pipeline that integrates data from well-established databases, followed stringent selection criteria and identified a panel of 44 high-confidence SNPs that may impair miRNA target sites in the 3′UTR of 16 genes. Further we performed expression analysis to shed light on the potential tissues that might be affected by mutation, enrichment analysis to find the metabolic functions of the gene, and network analysis to highlight the important interactions of CEP genes with other genes to provide insight that complex network will be disturbed upon mutation. In this study, we explored and prioritised the SNPs in CEP gene which could act as a potential target in centrosome-associated human disease. Our analysis would provide a thoughtful insight to wet lab researches to understand the expression pattern of CEP genes and binding phenomenon of mRNA and miRNA upon mutation, which is responsible for inhibition of translation process at genomic levels.     

Single-nucleotide polymorphism associations in common with immune responses to measles and rubella vaccines

Single-nucleotide polymorphisms (SNPs) in candidate immune response genes were evaluated for associations with measles- and rubella-specific neutralizing antibodies, interferon (IFN)-γ, and interleukin (IL)-6 secretion in two separate association analyses in a cohort of healthy immunized subjects. We identified six SNP associations shared between the measles-specific and rubella-specific immune responses, specifically neutralizing antibody titers (DDX58), secreted IL-6 (IL10RB, IL12B), and secreted IFN-γ (IFNAR2, TLR4). An intronic SNP (rs669260) in the antiviral innate immune receptor gene, DDX58, was significantly associated with increased neutralizing antibody titers for both measles and rubella viral antigens post-MMR vaccination (p values 0.02 and 0.0002, respectively). Significant associations were also found between IL10RB (rs2284552; measles study p value 0.006, rubella study p value 0.00008) and IL12B (rs2546893; measles study p value 0.005, rubella study p value 0.03) gene polymorphisms and variations in both measles- and rubella virus-specific IL-6 responses. We also identified associations between individual SNPs in the IFNAR2 and TLR4 genes that were associated with IFN-γ secretion for both measles and rubella vaccine-specific immune responses. These results are the first to indicate that there are SNP associations in common across measles and rubella vaccine immune responses and that SNPs from multiple genes involved in innate and adaptive immune response regulation may contribute to the overall human antiviral response.     

An Integrated in Silico Approach to Analyze the Involvement of Single Amino Acid Polymorphisms in FANCD1/BRCA2-PALB2 and FANCD1/BRCA2-RAD51 Complex

Fanconi anemia (FA) is an autosomal recessive human disease characterized by genomic instability and a marked increase in cancer risk. The importance of FANCD1 gene is manifested by the fact that deleterious amino acid substitutions were found to confer susceptibility to hereditary breast and ovarian cancers. Attaining experimental knowledge about the possible disease-associated substitutions is laborious and time consuming. The recent introduction of genome variation analyzing in silico tools have the capability to identify the deleterious variants in an efficient manner. In this study, we conducted in silico variation analysis of deleterious non-synonymous SNPs at both functional and structural level in the breast cancer and FA susceptibility gene BRCA2/FANCD1. To identify and characterize deleterious mutations in this study, five in silico tools based on two different prediction methods namely pathogenicity prediction (SIFT, PolyPhen, and PANTHER), and protein stability prediction (I-Mutant 2.0 and MuStab) were analyzed. Based on the deleterious scores that overlap in these in silico approaches, and the availability of three-dimensional structures, structure analysis was carried out with the major mutations that occurred in the native protein coded by FANCD1/BRCA2 gene. In this work, we report the results of the first molecular dynamics (MD) simulation study performed to analyze the structural level changes in time scale level with respect to the native and mutated protein complexes (G25R, W31C, W31R in FANCD1/BRCA2-PALB2, and F1524V, V1532F in FANCD1/BRCA2-RAD51). Analysis of the MD trajectories indicated that predicted deleterious variants alter the structural behavior of BRCA2-PALB2 and BRCA2-RAD51 protein complexes. In addition, statistical analysis was employed to test the significance of these in silico tool predictions. Based on these predictions, we conclude that the identification of disease-related SNPs by in silico methods, in combination with MD approach has the potential to create personalized tools for the diagnosis, prognosis, and treatment of diseases. The methods reviewed here generated a considerable amount of valuable data, but also the need for further validation.     

Natural genetic variation in MIR172 isolated from Brassica species

The present study reports a natural variation in microRNA172 (MIR172) family members isolated from six species of genus Brassica. The analysis of nucleotide polymorphism across 44 Brassica MIR172 homologs revealed a higher conservation in the predicted precursors relative to flanking regions. Single nucleotide polymorphisms (SNPs) were detected in miRNA and miRNA*. The 21-nt miRNA sequence was conserved in all MIR172 members except MIR172a. However, the miRNA* sequence was conserved only in MIR172a compared to A. thaliana. Non-canonical Brassica variants of precursor miR172a were detected wherein SNP at 5′ terminal in mature miR172a resulted in a sequence identical to mature miR172e. SNPs and indels in precursors resulted in varied stem-loop structures of differing stabilities (ΔG) implying a differential efficiency of miRNA biogenesis. A sequence based phylogram revealed ortholog specific groupings of MIR172 irrespective of genetic background. A Northern analysis in Brassica juncea displayed the cumulative expression of miR172 isoforms in all tissues representing different developmental stages with levels gradually increasing from vegetative to reproductive stages. Detection of high content of miR172 in roots indicates the possibility of additional roles of Brassica miR172 in root development.     

SNPs in MicroRNA-Binding Sites in the ITGB1 and ITGB3 3′-UTR Increase Colorectal Cancer Risk

The purpose of the study was to investigate the potential associations between single-nucleotide polymorphisms (SNPs) in microRNA (miRNA)-binding sites in the integrin beta-1 (ITGB1) gene and integrin beta-3 (ITGB3) gene 3′-untranslated regions, and colorectal cancer (CRC) susceptibility in a Chinese population. A hospital-based case–control study was performed in 200 patients with CRC and 200 matched healthy donors. Two SNPs in miRNA binding of ITGB1 and ITGB3 genes (rs17468 and rs2317676) were genotyped by polymerase chain reaction-restrict fragment length polymorphism assay. The association between genotypes and CRC risk was evaluated by computing the odds ratio (OR) and 95 % confidence interval (CI) from multivariate unconditional logistic regression analyses. The frequency of the T genotype in ITGB1 rs17468 and G genotype in ITGB3 rs2317676 occurred more frequently in CRC patients than in controls (P < 0.05). We found that CT and TT genotypes of rs17468 were associated with a significantly increased risk of CRC (OR = 1.67, 95 % CI = 1.090–2.559 for CT + TT vs. CC), also the AG and GG genotype in ITGB3 rs2317676 (OR = 1.65, 95 % CI = 1.114–2.458 for AG + GG vs. AA). In conclusion, our results showed that both the ITGB1 rs17468 SNP and ITGB3 rs2317676 SNP were associated with an increased risk of CRC, which suggests that these 2 SNPs might contribute to CRC risk in a Chinese population.     

The association between KL polymorphism and prostate cancer risk in Korean patients

The Klotho (KL) gene is a classical “aging suppressor” gene. Although recent studies have shown that KL participates in the progression of several types of human cancers, the relationship between KL polymorphism and prostate cancer was unknown. The present study aimed to investigate the association between KL genetic polymorphisms and prostate cancer. Twenty-five common single nucleotide polymorphisms (SNPs) in KL gene (including KL gene polymorphism C1818T in exon 4) were assessed in 272 prostate cancer cases and 173 controls. Single-locus analyses were conducted using unconditional logistic regression. In addition, we did a haplotype analysis for the 25 KL SNPs tested. CC genotype of C1548T KL polymorphism had approximately twofold increased prostate cancer risk compared with the homozygous genotype TT and heterozygote CT (odds ratio 1.85 [95 % CI, 1.09–3.12], P = 0.02). We also found that non-T allele carriers had significantly higher prostate cancer risk associated with the prostate cancer clinical characteristics (tumor stage or Gleason score). Our findings suggested that the C1548T polymorphism of KL gene is associated with the prostate cancer and may act as a risk factor for the development of prostate cancer.     

Genetic polymorphisms associated with rubella virus-specific cellular immunity following MMR vaccination

Rubella virus causes a relatively benign disease in most cases, although infection during pregnancy can result in serious birth defects. An effective vaccine has been available since the early 1970s and outbreaks typically do not occur among highly vaccinated (≥2 doses) populations. Nevertheless, considerable inter-individual variation in immune response to rubella immunization does exist, with single-dose seroconversion rates ~95 %. Understanding the mechanisms behind this variability may provide important insights into rubella immunity. In the current study, we examined associations between single nucleotide polymorphisms (SNPs) in selected cytokine, cytokine receptor, and innate/antiviral genes and immune responses following rubella vaccination in order to understand genetic influences on vaccine response. Our approach consisted of a discovery cohort of 887 subjects aged 11–22 at the time of enrollment and a replication cohort of 542 older adolescents and young adults (age 18–40). Our data indicate that SNPs near the butyrophilin genes (BTN3A3/BTN2A1) and cytokine receptors (IL10RB/IFNAR1) are associated with variations in IFNγ secretion and that multiple SNPs in the PVR gene, as well as SNPs located in the ADAR gene, exhibit significant associations with rubella virus-specific IL-6 secretion. This information may be useful, not only in furthering our understanding immune responses to rubella vaccine, but also in identifying key pathways for targeted adjuvant use to boost immunity in those with weak or absent immunity following vaccination.     

Identification of nucleolus-localized PTEN and its function in regulating ribosome biogenesis

The tumor suppressor PTEN is a lipid phosphatase that is found mutated in different types of human cancers. PTEN suppresses cell proliferation by inhibiting the PI3K-Akt signaling pathway at the cell membrane. However, PTEN is also demonstrated to localize in the cell nucleus where it exhibits tumor suppressive activity via a different, unknown mechanism. In this study we report that PTEN also localizes to the nucleolus and that nucleolar PTEN plays an important role in regulating nucleolar homeostasis and maintaining nucleolar morphology. Overexpression of nuclear PTEN in PTEN null cells inhibits Akt phosphorylation and reduces cell size. Knockdown of PTEN in PTEN positive cells leads to nucleolar morphologic changes and an increase in the proportion of cells with a greater number of nucleoli. In addition, knockdown of PTEN in PTEN positive cells increased ribosome biogenesis. These findings expand current understanding of function and relevance of nuclear localized PTEN and provide a foundation for the development of novel therapies targeting PTEN.     

Association Between Single Nucleotide Polymorphisms of Sterol Regulatory Element Binding Protein-2 and Liver X Receptor α Gene and Risk of Polycystic Ovary Syndrome in a Chinese Han Population

To investigate associations of single nucleotide polymorphisms (SNPs) rs2228314 of sterol regulatory element-binding protein-2 (SREBP-2) or rs11039155 of liver X receptor α (LXRα) with susceptibility to polycystic ovary syndrome (PCOS) in a Chinese Han population. SREBP-2 rs2228314 and LXRα rs11039155 polymorphisms were genotyped in patients with PCOS and age- and sex-matched PCOS-free controls from a Chinese Han population. A total of 605 patients with PCOS and 615 controls were recruited in this study. We found that GC and CC genotypes of rs2228314, and variant C, were associated with a significantly increased risk of PCOS. In addition, GA and AA genotypes of rs11039155, as well as variant A, were also associated with a significantly increased risk of PCOS. Our results showed that SREBP-2 rs2228314 G to C change and variant C genotype as well as LXRα rs11039155 G to A change and variant A may contribute to PCOS in Chinese Han population.     

Melanocortin-4 receptor (MC4R) polymorphisms are associated with growth and meat quality traits in sheep

The involvement of melanocortin 4 receptor gene (MC4R) in food intake and body weight regulation is well characterized. MC4R mutations are the most frequent monogenic cause of human obesity. Significant associations have been revealed between MC4R mutations and productive traits in pigs, cattle and poultry. Herein, fluorescence-based conformation sensitive gel electrophoresis was used to identify two single nucleotide polymorphisms (SNPs) in the coding region (93G>A and 292G>A) and two SNPs in the 3′-UTR area (1016G>A and 1240T>C) of MC4R gene in 132 German Merino sheep. We found that the 1016G>A mutation in the 3′-UTR was significantly associated with body weight at 120 and 180 days, average daily gain, back fat thickness and loin-eye area. Allele A located at the 292th position of MC4R gene representing Arg98 was associated with significantly higher loin-eye area in sheep. For the synonymous 93G>A mutation, A allele carrier animals had higher back fat thickness. Our results provide evidence that the MC4R gene may be a candidate gene for growth and meat quality traits with MC4R SNPs being potentially valuable as genetic markers for economic traits in German Merino sheep.     

A high-resolution linkage map of the Rfd1, a restorer-of-fertility locus for cytoplasmic male sterility in radish (Raphanus sativus L.) produced by a combination of bulked segregant analysis and RNA-Seq

Key message

We utilized a combination of BSA and RNA-Seq to identify SNPs linked to the Rfd1 locus, a restorer-of-fertility gene in radish. A high-density linkage map was constructed using this approach.

Abstract

Male fertility of cytoplasmic male sterility conditioned by the Dongbu cytoplasmic and genic male-sterility cytoplasm can be restored by a restorer-of-fertility locus, Rfd1, in radish. To construct a high-density linkage map and to identify a candidate gene for the Rfd1 locus, bulked segregant analysis and RNA-seq approaches were combined. A total of 26 and 28 million reads produced from male-fertile and male-sterile bulked RNA were mapped to the radish reference unigenes. After stringent screening of SNPs, 327 reliable SNPs of 109 unigenes were selected. Arabidopsis homologs for 101 of the 109 genes were clustered around the 4,000 kb region of Arabidopsis chromosome 3, which was syntenic to the Rfd1 flanking region. Since the reference unigene set was incomplete, the contigs were de novo assembled to identify 134 contigs harboring SNPs. Most of SNP-containing contigs were also clustered on the same syntenic region in Arabidopsis chromosome. A total of 21 molecular markers positioned within a 2.1 cM interval including the Rfd1 locus were developed, based on the selected unigenes and contigs. A segregating population consisting of 10,459 individuals was analyzed to identify recombinants containing crossovers within this interval. A total of 284 identified recombinants were then used to construct a high-density map, which delimited the Rfd1 locus into an 83-kb syntenic interval of Arabidopsis chromosome 3. Since no candidate gene, such as a pentatricopeptide repeat (PPR)-coding gene, was found in this interval, 231 unigenes and 491 contigs containing putative PPR motifs were analyzed further, but no PPR gene in linkage disequilibrium with the Rfd1 locus could be found.     

Polymorphism of DNA Repair Gene xrcc1 and Lung Cancer Risk

The current large-scale meta-analysis was performed to reach a reliable conclusion on the association between X-ray repair cross-complementing 1 (xrcc1) rs1799782 and the development of lung cancer. Studies that investigated the association between rs1799782 and lung cancer risk were identified by searching PubMed. We calculated odds ratio (OR) with corresponding 95 % confidence interval (CI) for Trp/Trp vs Arg/Arg, Trp/Trp + Arg/Trp vs Arg/Arg, and Trp/Trp vs Arg/Trp + Arg/Arg contrast models. Combining all 25 studies, we yielded three summary ORs: 1.07 (95 % CI 0.92–1.23) for Trp/Trp vs Arg/Arg, 0.93 (95 % CI 0.87–1.00) for Trp/Trp + Arg/Trp vs Arg/Arg, and 1.08 (95 % CI 0.94–1.25) for Trp/Trp vs Arg/Trp + Arg/Arg, suggesting rs1799782 was not associated with overall risk of lung cancer. Strikingly, a significantly deceased risk was found among Caucasian populations (Trp/Trp + Arg/Trp vs Arg/Arg, OR = 0.86, 95 % CI 0.76–0.97). This study confirms that xrcc1 rs1799782 may lower the risk of lung cancer among Caucasians.