Evidence of expression variation and allelic imbalance in Crohn's disease susceptibility genes NOD2 and ATG16L1 in human dendritic cells

Human dendritic cells (DCs) play an important role in induction and progression of Crohn's disease (CD). Accumulating evidence suggests that viral infection is required to trigger CD pathogenesis in genetically predisposed individuals. NOD2 and ATG16L1 are among the major CD susceptibility genes implicated in impaired immune response to bacterial infection. In this study, we investigated gene expression and allelic imbalance (AI) of NOD2 and ATG16L1 using common variants in human monocyte-derived DCs. Significant AI was observed in ~ 40% and ~ 70% of NOD2 and ATG16L1 heterozygotes, respectively (p < 0.05). AI of NOD2 was inversely associated with its expression level (p = 0.015). No correlation was detected between gene expression and AI for ATG16L1. When infected with Newcastle Disease Virus (NDV), NOD2 expression in DCs was induced about four-fold (p < 0.001), whereas ATG16L1 expression was not affected (p = 0.88). In addition, NDV infection tended to lower the variance in AI among DC populations for the NOD2 gene (p = 0.05), but not the ATG16L1 gene (p = 0.32). Findings of a simulation study, aimed to verify whether the observed variation in gene expression and AI is a result of sample-to-sample variability or experimental measurement error, suggested that NOD2 AI is likely to result from a deterministic event at a single cell level. Overall, our results present initial evidence that AI of the NOD2 and ATG16L1 genes exists in populations of human DCs. In addition, our findings suggest that viral infection may regulate NOD2 expression.     

The small ribosomal protein S12P gene rpsL as an efficient positive selection marker in allelic exchange mutation systems for Corynebacterium glutamicum

We report that the mutant rpsL K43R in streptomycin-resistant and lysine-producing Corynebacterium glutamicum is responsible for streptomycin resistance. In addition, we describe its effective application in gene modification in C. glutamicum.     

A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting

Two-part regression models are frequently used to analyze longitudinal count data with excess zeros, where the same set of subjects is repeatedly observed over time. In this context, several sources of heterogeneity may arise at individual level that affect the observed process. Further, longitudinal studies often suffer from missing values: individuals dropout of the study before its completion, and thus present incomplete data records. In this paper, we propose a finite mixture of hurdle models to face the heterogeneity problem, which is handled by introducing random effects with a discrete distribution; a pattern-mixture approach is specified to deal with non-ignorable missing values. This approach helps us to consider overdispersed counts, while allowing for association between the two parts of the model, and for non-ignorable dropouts. The effectiveness of the proposal is tested through a simulation study. Finally, an application to real data on skin cancer is provided.     

Plasmodium falciparum: worldwide sequence diversity and evolution of the malaria vaccine candidate merozoite surface protein-2 (MSP-2)

We examined patterns and putative mechanisms of sequence diversification in the merozoite surface protein-2 (MSP-2) of Plasmodium falciparum, a major dimorphic malaria vaccine candidate antigen, by analyzing 448 msp-2 alleles from all continents. We describe several nucleotide replacements, insertion and deletion events, frameshift mutations, and proliferations of repeat units that generate the extraordinary diversity found in msp-2 alleles. We discuss the role of positive selection exerted by naturally acquired type- and variant-specific immunity in maintaining the observed levels of polymorphism and suggest that this is the most likely explanation for the significant excess of nonsynonymous nucleotide replacements found in dimorphic msp-2 domains. Hybrid sequences created by meiotic recombination between alleles of different dimorphic types were observed in few (3.1%) isolates, mostly from Africa. We found no evidence for an extremely ancient origin of allelic dimorphism at the msp-2 locus, predating P. falciparum speciation, in contrast with recent findings for other surface malarial antigens.     

Plasmodium falciparum: sequence analysis of the gene encoding the C-terminus region of the merozoite surface protein-1, a potential malaria vaccine antigen, in Iranian clinical isolates

C-terminal region of merozoite surface protein-1 of Plasmodium falciparum (PfMSP-1) isolated from different parts of the world revealed sequence variability, however no data exist on sequence heterogeneity of this region from Iran. To address this question, DNA encoding the carboxyl (C)-terminal region of PfMSP-1 was amplified in 144 Iranian P. falciparum clinical isolates, using allele type-specific primers. In this study both MAD20 (88.2%) and K1 (7.6%) types were detected. Sequence analysis of 33 and 92 fragments corresponding to pfmsp-1(42) and pfmsp-1(19) revealed eight (15MAD1-15MAD7 and 15KCH) and five [A1 (E/TSR/L), A2 (Q/KNG/F), A3 (E/KNG/F), A4 (E/TSG/L), and A5 (Q/KNG/L)] distinct haplotypes, respectively. E/TSG/L variant type was the predominant haplotype, and reported only from Thailand and India, but E/KNG/L is widespread in Africa, Asia, and Latin America; but not found among Iranian isolates. In summary, result of this study indicates limited antigenic diversity, and thus support the potential utility of the C-terminal region of PfMSP-1 in designing polyvalent vaccine constructs.     

Screening of alpha-1-antitrypsin gene by denaturing gradient gel electrophoresis (DGGE)

Alpha-1-antitrypsin (AAT) is a serine protease inhibitor whose deficiency could cause emphysema and liver disease and, as recently described, could be a risk factor for lung cancer development. Alpha-1-antitrypsin inhibits a variety of proteases but its primary target is neutrophil elastase, an extracellular endopeptidase capable of degrading most protein components of the extracellular matrix. Inhibition of neutrophil elastase by AAT has an important role in maintaining the integrity of connective tissue. The gene encoding for AAT spans over 12.2 kb, consists of seven exons and is highly polymorphic. Therefore several methods for mutation screening of alpha-1-antitrypsin gene have been developed. Method described here is based on denaturing gradient gel electrophoresis (DGGE). This method is highly efficient and reliable and allows rapid analysis of entire coding region of alpha-1-antitrypsin gene, including splice junction sites. Previously described DGGE based analysis of AAT gene included overnight electrophoresis of individually amplified fragments. The optimization of the method described in this paper is directed towards the shortening of the duration of electrophoresis and amplification of fragments in multiplex reaction in order to make the analysis less time-consuming and therefore more efficient.     

ddradseqtools: a software package for in silico simulation and testing of double‐digest RADseq experiments

Double‐digested RADseq (ddRADseq) is a NGS methodology that generates reads from thousands of loci targeted by restriction enzyme cut sites, across multiple individuals. To be statistically sound and economically optimal, a ddRADseq experiment has a preliminary design stage that needs to consider issues related to the selection of enzymes, particular features of the genome of the focal species, possible modifications to the library construction protocol, coverage needed to minimize missing data, and the potential sources of error that may impact upon the coverage. We present ddradseqtools , a software package to help ddRADseq experimental design by (i) the generation of in silico double‐digested fragments; (ii) the construction of modified ddRADseq libraries using adapters with either one or two indexes and degenerate base regions (DBRs) to quantify PCR duplicates; and (iii) the initial steps of the bioinformatics preprocessing of reads. ddradseqtools generates single‐end (SE) or paired‐end (PE) reads that may bear SNPs and/or indels. The effect of allele dropout and PCR duplicates on coverage is also simulated. The resulting output files can be submitted to pipelines of alignment and variant calling, to allow the fine‐tuning of parameters. The software was validated with specific tests for the correct operability of the program. The correspondence between in silico settings and parameters from ddRADseq in vitro experiments was assessed to provide guidelines for the reliable performance of the software. ddradseqtools is cost‐efficient in terms of execution time, and can be run on computers with standard CPU and RAM configuration.     

Physical mapping of a rice lesion mimic gene,<Emphasis Type="Italic"> Spl1</Emphasis> , to a 70-kb segment of rice chromosome 12

The rice lesion mimic mutant spotted leaf 1 ( spl1) was first identified in the rice ( Oryza sativa) cultivar Asahi in 1965. This mutant displayed spontaneous disease-like lesions in the absence of any pathogen, and was found to confer resistance to multiple isolates of rice blast. We employed a map-based cloning strategy to localize the Spl1 gene. A total of ten cleaved amplified polymorphic sequence (CAPS) markers linked to the Spl1 gene were identified and mapped to an 8.5-cM region on chromosome 12. A high-resolution genetic map was developed using these ten CAPS markers and a segregating population consisting of 3202 individuals. A BAC contig containing four BAC clones was constructed, and Spl1 was localized to a 423-kb region. Seven spl1 mutants were obtained from the IR64 deletion mutant collection, and molecular analysis using these mutants delimited the Spl1 gene to a 70-kb interval, covered by two BAC clones. These results provide the basis for cloning this gene, which is involved in cell death and disease resistance in rice.Communicated by R. HagemannThe first two authors contributed equally to the work     

Physical linkage of the SLG and SRK genes at the self-incompatibility locus of Brassica oleracea

Summary In Brassica oleracea, the pollen-stigma interaction of self-incompatibility is controlled by a single genetically defined locus designated S. Molecular studies have identified two genes that are tightly linked to the classically defined S locus: The S-Locus Glycoprotein (SLG) gene and the S-Receptor Kinase (SRK) gene. In previous RFLP linkage analyses with probes specific for SLG and SRK, we were unable to identify any recombination events between SLG, SRK, and self-incompatibility phenotype. In this paper, we use pulsed-field gel electrophoresis (PFGE) in conjunction with DNA blot analysis to characterize the S-locus region from two highly divergent self-incompatibility genotypes, S ₂ and S ₆. We establish the physical linkage of SLG and SRK in each genotype, and demonstrate that the two genes are separated by a maximum distance of 220 kb in the S ₆ genotype and 350 kb in the S ₂ genotype. Furthermore, a comparison of the data from the two genotypes reveals that a high level of polymorphism exists across the entire S-locus region.