Computational Mapping of Cytotoxic T Lymphocyte epitopes of Mycobacterium Tuberculosis and their Potential Role in Vaccine Design

Objective: Tuberculosis (TB) caused by Mycobacterium tuberculosis (M. tb) is one of the deadliest diseases causing millions of deaths worldwide. Bacillus Calmette-Guérin (BCG) is the only vaccine that has been used in many countries where TB is prevalent. Despite vaccination, this disease prevails in many of the developing countries, necessitating the development of an effective vaccine against TB. Since M. tb acts as an intracellular pathogen, cell-mediated immune response plays an important role in disease control. Therefore, screening of CD8+ T cell epitopes of M. tb antigens could aid in the development of an effective vaccine against TB. In the current study, a reverse vaccinology approach was utilized to predict and map cytotoxic T lymphocyte (CTL) epitopes in the virulent proteins that are also essential for M. tb. Materials and Methods: Database of Essential Genes and Virulence Factor Database were used for identifying the virulent proteins of M. tb and their antigenicity was assessed using VaxiJen server. Various immunoinformatics tools were used to predict MHC class I binding, MHC processing, immunogenicity, toxicity and allergenicity. Results: Twelve M. tb antigens were selected for the prediction analyses using various tools. The results indicated the presence of 20 novel CTL epitopes predicted against human HLA-A alleles. This study has also screened for multiple allele binding epitopes that could be used as a vaccine component. Conclusion: This study has yielded a few hitherto unreported CTL epitopes binding to class I HLA-A alleles. Further experimental validation is necessary for confirming their potential as vaccine candidates.

Multiple SNPs detection for antimalarial pyrimethamine resistance via allele-specific PCR coupled with gold nanoparticles-based lateral flow biosensor

Molecular genotyping holds tremendous potential to detect antimalarial drug resistance (ADR) related to single nucleotide polymorphisms (SNPs). However, it suffers from complicated procedures and expensive instruments. Thus, rapid point-of-care testing (POCT) molecular tools are urgently needed for field survey and clinical use. Herein, a POCT platform consisted of multiple allele-specific PCR (AS-PCR) and gold nanoparticles (AuNPs) based lateral flow biosensor was designed and developed for SNPs detection of Plasmodium falciparum dihydrofolate reductase (pfdhfr) gene related to pyrimethamine resistance. The multiple AS-PCR utilized 3' terminal artificial antepenultimate mismatch and double phosphorothioate-modified allele-specific primers. The duplex PCR amplicons with 5' terminal labeled with biotin and digoxin, respectively, could be recognized by streptavidin (SA)-AuNPs on the conjugate pad and then captured by anti-digoxin antibody through immunoreactions on the test line to produce a golden red line for detection. The system was applied to analyze SNPs in Pfdhfr N51I, C59R, and S108N of 98 clinical isolates from uncomplicated P. falciparum malaria patients. Compared with the results of nested PCR followed Sanger DNA sequencing, the sensitivity is all 97.96% (96/98) for the N51I, C59R, and S108N. For specificity, there were 100% (98/98), 95.92% (94/98), and 100% (98/98) for N51I, C59R, and S108N, respectively. The limit of detection is approximately 200 fg/μl for plasmid DNA as the template and 100 parasites/μl for blood filter paper. The established platform not only offers a powerful tool for molecular surveillance of ADR but also is easily extended to interrelated SNP profiles for infectious diseases and genetic diseases.

Conservation of the Threatened Species, Pulsatilla vulgaris Mill. (Pasqueflower), is Aided by Reproductive System and Polyploidy

Population loss due to habitat disturbance is a major concern in biodiversity conservation. Here we investigate the genetic causes of the demographic decline observed in English populations of Pulsatilla vulgaris and the consequences for conservation. Using 10 nuclear microsatellite markers, we compare genetic variation in wild populations with restored and seed-regenerated populations (674 samples). Emergence of genetic structure and loss of allelic variation in natural populations are not as evident as expected from demographic trends. Restored populations show genetic variation comparable to their source populations and, in general, to the wild ones. Genetic homogeneity is observed in regeneration trials, although some alleles not captured in source populations are detected. We infer that polyploidy, longevity, and clonal reproduction have provided P. vulgaris with the standing genetic variation necessary to make the species resilient to the effects of demographic decline, suggesting that the use of multiple sources for reintroduction may be beneficial to mimic natural gene flow and the availability of multiple allele copies typical of polyploid species.

Usefulness Criterion and post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression

ABSTRACTPredicting the usefulness of crosses in terms of expected genetic gain and genetic diversity is of interest to secure performance in the progeny and to maintain long-term genetic gain in plant breeding. A wide range of crossing schemes are possible including large biparental crosses, backcrosses, four-way crosses, and synthetic populations. In silico progeny simulations together with genome-based prediction of quantitative traits can be used to guide mating decisions. However, the large number of multi-parental combinations can hinder the use of simulations in practice. Analytical solutions have been proposed recently to predict the distribution of a quantitative trait in the progeny of biparental crosses using information of recombination frequency and linkage disequilibrium between loci. Here, we extend this approach to obtain the progeny distribution of more complex crosses including two to four parents. Considering agronomic traits and parental genome contribution as jointly multivariate normally distributed traits, the usefulness criterion parental contribution (UCPC) enables to (i) evaluate the expected genetic gain for agronomic traits, and at the same time (ii) evaluate parental genome contributions to the selected fraction of progeny. We validate and illustrate UCPC in the context of multiple allele introgression from a donor into one or several elite recipients in maize (Zea mays L.). Recommendations regarding the interest of two-way, three-way, and backcrosses were derived depending on the donor performance. We believe that the computationally efficient UCPC approach can be useful for mate selection and allocation in many plant and animal breeding contexts.

Human Leukocyte Antigen-A, B, C, DRB1, and DQB1 Allele and Haplotype Frequencies in a Subset of 237 Donors in the South African Bone Marrow Registry

Human leukocyte antigen- (HLA-) A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 allele and haplotype frequencies were studied in a subset of 237 volunteer bone marrow donors registered at the South African Bone Marrow Registry (SABMR). Hapl-o-Mat software was used to compute allele and haplotype frequencies from individuals typed at various resolutions, with some alleles in multiple allele code (MAC) format. Four hundred and thirty-eight HLA-A, 235 HLA-B, 234 HLA-DRB1, 41 HLA-DQB1, and 29 HLA-C alleles are reported. The most frequent alleles were A∗02:02g (0.096), B∗07:02g (0.082), C∗07:02g (0.180), DQB1∗06:02 (0.157), and DRB1∗15:01 (0.072). The most common haplotype was A∗03:01g~B∗07:02g~C∗07:02g~DQB1∗06:02~DRB1∗15:01 (0.067), which has also been reported in other populations. Deviations from Hardy-Weinberg equilibrium were observed in A, B, and DRB1 loci, with C~DQB1 being the only locus pair in linkage disequilibrium. This study describes allele and haplotype frequencies from a subset of donors registered at SABMR, the only active bone marrow donor registry in Africa. Although the sample size was small, our results form a key resource for future population studies, disease association studies, and donor recruitment strategies.

Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562

ABSTRACTK562 is widely used in biomedical research. It is one of three tier-one cell lines of ENCODE and also most commonly used for large-scale CRISPR/Cas9 screens. Although its functional genomic and epigenomic characteristics have been extensively studied, its genome sequence and genomic structural features have never been comprehensively analyzed. Such information is essential for the correct interpretation and understanding of the vast troves of existing functional genomics and epigenomics data for K562. We performed and integrated deep-coverage whole-genome (short-insert), mate-pair, and linked-read sequencing as well as karyotyping and array CGH analysis to identify a wide spectrum of genome characteristics in K562: copy numbers (CN) of aneuploid chromosome segments at high-resolution, SNVs and Indels (both corrected for CN in aneuploid regions), loss of heterozygosity, mega-base-scale phased haplotypes often spanning entire chromosome arms, structural variants (SVs) including small and large-scale complex SVs and non-reference retrotransposon insertions. Many SVs were phased, assembled, and experimentally validated. We identified multiple allele-specific deletions and duplications within the tumor suppressor geneFHIT. Taking aneuploidy into account, we re-analyzed K562 RNA-seq and whole-genome bisulfite sequencing data for allele-specific expression and allele-specific DNA methylation. We also show examples of how deeper insights into regulatory complexity are gained by integrating genomic variant information and structural context with functional genomics and epigenomics data. Furthermore, using K562 haplotype information, we produced an allele-specific CRISPR targeting map. This comprehensive whole-genome analysis serves as a resource for future studies that utilize K562 as well as a framework for the analysis of other cancer genomes.