In silico SNP analysis

M. bovis is one of the leading causes of respiratory disease and antimicrobial use in cattle. The pathogen is widespread in different cattle industries worldwide, but highest prevalence is found in the veal industry. Knowledge on M. bovis strain distribution over the dairy, beef and veal industries is crucial for the design of effective control and prevention programs, but currently undocumented. Therefore, the present study evaluated the molecular epidemiology and genetic relatedness of M. bovis isolates obtained from Belgian beef, dairy and veal farms, and how these relate to M. bovis strains obtained worldwide. Full genomes of one hundred Belgian M. bovis isolates collected over a 5-year period (2014–2019), obtained from 27 dairy, 38 beef and 29 veal farms, were sequenced by long-read nanopore sequencing. Consensus sequences were used to generate a phylogenetic tree in order to associate genetic clusters with cattle sector, geographical area and year of isolation. The phylogeneti...

Grapevine is one of the world's most important fruit crops. All 60 2n = 38 Vitis species worldwide are diploids that cross easily; hybrids are fertile and advanced generation pedigrees are available. The cultivated grape species Vitis vinifera has the potential to become a model for fruit tree genetics. Given its cultural and economic importance, grapevine has received much attention from the scientific community in the last few years, resulting in considerable progress in genetic and genomic research. A consensus sequence of the grapevine genome was generated, providing information on overall organization, gene content, and structural components of the DNA in the 19 chromosomes of V. vinifera. Extensive genetic mapping has been conducted in Vitis ssp. based on SSR markers, including the identification of quantitative trait loci for a variety of traits. A large set of single-nucleotide polymorphisms was developed from expressed sequence tags, bacterial artificial chromosomeend sequences, and unique regions of the assembled genome of Pinot noir, providing a comprehensive grapevine genetic map. Single-nucleotide polymorphism markers represent a substantial resource for molecular breeding programs, providing a new basis for map-based gene isolation and fine-mapping quantitative trait loci by identifying candidate genes.

Trypanosomes cause a variety of diseases in man and domestic animals in Africa, Latin America and Asia. In the Trypanozoon subgenus, Trypanosoma brucei gambiense and T. b. rhodesiense cause human African trypanosomiasis, while T. b. brucei, T. evansi and T. equiperdum are responsible for nagana, surra and dourine in domestic animals, respectively. The genetic relationships between T. evansi and T. equiperdum and other Trypanozoon species remain unclear because the majority of phylogenetic analyses have been based on only a few genes. In this study, we have conducted a phylogenetic analysis based on genome-wide SNP analysis comprising 56 genomes from the Trypanozoon subgenus. Our data reveal that T. equiperdum has emerged at least once in Eastern Africa and T. evansi at two independent occasions in Western Africa. The genomes within the T. equiperdum and T. evansi monophyletic clusters show extremely little variation, probably due to the clonal spread linked to the independence from ...

Wnt1 is the first mammalian Wnt gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in Wnt1 are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the nonsynonymous SNPs (nsSNPs), present in the human Wnt1 gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of Wnt1 for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the posttranslational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330-360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential Wnt1 gene expression pattern in normal, tumor and metastatic conditions across different tissues. Wnt1 gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of Wnt1 can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases. The Wnt family consists of secreted glycoprotein signaling molecules which play crucial roles in development and maintenance of many tissues 1. The name Wnt, came from combination of two genes-wg (wingless) and int-1 (Wnt1) 2. In human, 19 Wnt genes were identified with different levels of sequence similarities among the Wnt proteins 3. Among them, Wnt1 was the first mammalian Wnt gene, discovered as proto-oncogene and it

KRAS is one of the most widely prevalent proto-oncogenes in human cancers. The constitutively active KRAS oncoprotein contributes to both tumor onset and cancer development by promoting cell proliferation and anchorage-independent growth in a MAPK pathway-dependent manner. The expression of microRNAs (miRNAs) and the KRAS oncogene are known to be dysregulated in various cancers, while long noncoding RNAs (lncRNAs) can act as regulators of the miRNAs targetingKRASoncogene in different cancers and have gradually become a focus of research in recent years. In this review article, we summarize recent advances in the research on lncRNAs that have sponging effects on KRAS-targeting miRNAs as crucial mediators of KRAS expression in different cell types and organs. A deeper understanding of lncRNA function in KRAS-driven cancers is of major fundamental importance and will provide a valuable clinical tool for the diagnosis, prognosis, and eventual treatment of cancers.

PLCG1 gene is responsible for many T-cell lymphoma subtypes, including peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia/lymphoma along with other diseases. Missense mutations of this gene have already been found in patients of CTCL and AITL. The non-synonymous single nucleotide polymorphisms (nsSNPs) can alter the protein structure as well as its functions. In this study, probable deleterious and disease-related nsSNPs in PLCG1 were identified using SIFT, PROVEAN, PolyPhen-2, PhD-SNP, Pmut, and SNPS&GO tools. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-mutant 2.0, MUpro, Consurf, and Netsurf 2.0 server. Some SNPs were finalized for structural analysis with PyMol and BIOVIA discovery studio visualizer. Out of the 16 nsSNPs which were found to be deleterious, ten nsSNPs had an effect on protein stability, and six mutations (L41...

Partner and Localizer of BRCA2 or PALB2 is a typical tumor suppressor protein, that responds to DNA double stranded breaks through homologous recombination repair. Heterozygous mutations in PALB2 are known to contribute to the susceptibility of breast and ovarian cancer. However, there is no comprehensive study characterizing the structural and functional impacts of SNPs located in the PALB2 gene.Therefore, it is of interest to document a comprehensive analysis of coding and non-coding SNPs located at the PALB2 loci using in silico tools. The data for 1455 non-synonymous SNPs (nsSNPs) located in the PALB2 loci were retrieved from the dbSNP database. Comprehensive characterization of the SNPs using a combination of in silico tools such as SIFT, PROVEAN, PolyPhen, PANTHER, PhDSNP, Pmut, MutPred 2.0 and SNAP-2, identified 28 functionally important SNPs. Among these, 16 nsSNPs were further selected for structural analysis using conservation profile and protein stability. The most delete...

Background: Single amino acid substitutions in the Iduronate-2-sulfatase enzyme result in destabilization of the protein and cause a genetic disorder called Hunter syndrome. To gain functional insight into the mutations causing Hunter syndrome, various bioinformatics tools were employed, and special significance is given to molecular docking. Results: In-silico tools available online for preliminary analysis including SIFT, PolyPhen 2.0, etc., were primarily employed and have identified 51 Non-synonymous Single Nucleotide Polymorphisms (ns-SNPs) as possibly deleterious. Further, modelling and energy minimization followed by Root Mean Square Deviation (RMSD) calculation has labelled 42 mutations as probably deleterious ns-SNPs. Later, trajectory analysis was performed using online tools like PSIPRED, SRide, etc., and has predicted six ns-SNPs as potentially deleterious. Additionally, docking was performed, and three candidate ns-SNPs were identified. Finally, these three ns-SNPs were confirmed to play a significant role in causing syndrome through root mean square fluctuation (RMSF) calculations. Conclusion: From the observed results, G134E, V503D, and E521D were predicted to be candidate ns-SNPs in comparison with other in-silico tools and confirmed by RMSF calculations. Thus, the identified candidate ns-SNPs can be employed as a potential genetic marker in the early diagnosis of Hunter syndrome after clinical validation.

Dense-phase carbon dioxide (DPCD) can induce myosin denaturation and aggregation and result in the formation of a gel. To explore the mechanism that DPCD induce myosin the formation of gels, molecular dynamics simulations were used to investigate the effects of DPCD on the structural properties of the myosin heavy chain (MHC, GenBank Accession No: BAM65721.1) from Litopenaeus vannamei. In addition, the interaction between the MHC and CO 2 was explored under the coupling of pressure and temperature. To facilitate a better understanding and comparison, the structure of MHC was simulated in water at 0.1 MPa and 50°C (called the myosinwater system, MWS) and in water and DPCD at 25 MPa and 50°C (called the myosin-water-DPCD system, MWDS). The analysis of the root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) revealed that the conformation of the MHC in both MWDS and MWS changed significantly relative to its initial structure. Moreover, the results of the solvent-accessible surface area demonstrated that the MHC structure changes from a compact arrangement to a looser arrangement in both MWDS and MWS. Finally, the results from investigations into the secondary structures showed that the α-helix content of the MHC decreased, whereas the β-turn and random coil content increased. Greater overall structural variations of the MHC were observed in MWDS than those observed in MWS. DPCD exerts a substantial effect on the MHC structure because of its hydrogen bonding, electrostatic repulsion and hydrophobic interactions with the MHC.

Trypanosomes cause a variety of diseases in man and domestic animals in Africa, Latin America and Asia. In the Trypanozoon subgenus, Trypanosoma brucei gambiense and T. b. rhodesiense cause human African trypanosomiasis, while T. b. brucei, T. evansi and T. equiperdum are responsible for nagana, surra and dourine in domestic animals, respectively. The genetic relationships between T. evansi and T. equiperdum and other Trypanozoon species remain unclear because the majority of phylogenetic analyses have been based on only a few genes. In this study, we have conducted a phylogenetic analysis based on genome-wide SNP analysis comprising 56 genomes from the Trypanozoon subgenus. Our data reveal that T. equiperdum has emerged at least once in Eastern Africa and T. evansi at two independent occasions in Western Africa. The genomes within the T. equiperdum and T. evansi monophyletic clusters show extremely little variation, probably due to the clonal spread linked to the independence from ...

Background: Hepatocyte growth factor (HGF) protein regulates cell growth, motility, and morphogenesis in a variety of cells and tissues by binding to the HGF receptor. The rs5745687 SNPs in the introns of the HGF gene could affect the splicing and expression of HGF mRNA. Objectives: In this study, the genotype frequency of rs5745687 in breast cancer (BC) and gastric cancer (GC) (positive helicobacter) patients has been investigated and compared with the healthy controls in the Isfahan population. Methods: Firstly, initial bioinformatics studies were done. Then, according to the results, bioinformatics high-resolution melt (HRM) and real-time PCR were recruited to determine genotypes rs5745678 for 432 participants in the case-control analysis (84 GC with 126 healthy control samples, as well as 111 BC cases with 111 normal controls). The conditional logistic regression model was used to measure odds ratios (OR) and 95% confidence intervals (CI) to produce these cancers based on genoty...

LKB1 protein is involved in the regulation of cell polarity by phosphorylating the AMPK under energetic stress conditions. LKB1 protein is expressed in both cytoplasm and nucleus. In the nucleus, LKB1 interacts with orphan nuclear receptor protein Nur77. It is reported that the interaction of LKB1 with Nur77 is disrupted by the small molecular ligand TMPA (ethyl 2-[2,3,4-trimethoxy-6-(1-octanoyl)phenyl]acetate), such that the LKB1 is enabled to play its role in cytoplasm and further to regulate/reduce the blood glucose level. In the present study, atomistic molecular dynamics simulations are performed to understand the dissociation mechanism of Nur77-LKB1 complex. The present study reveals that TMPAs induce an open-close motion of Nur77 which further decrease the stability of Nur77-LKB1 complex. As a consequence, the interface region in LKB1-Nur77 complex is more exposed for solvation and further releases the interactions existing between Nur77 and LKB1. Altogether, this study explains the TMPAs mediated Nur77-LKB1 complex dissociation.

The presence of single nucleotide variations in the coding region of micro-RNA (miRNA)-encoding genes plays a significant role in the expression and function of these molecules in oncogenesis and cancer. The association of rs2682818 in miR-618 with increased risk of breast cancer was investigated in the Iranian population. rs2682818/miR-618 was genotyped using amplification-refractory mutation system PCR (ARMS-PCR) in 200 healthy individuals and patients with breast cancer. The data revealed the presence of Hardy-Weinberg equilibrium (HWE) for this marker. The frequency of alleles C and A was 70% and 30%, respectively, in healthy individuals; the frequency of alleles C and A was 44% and 56%, respectively, in patients with breast cancer. Analysis of odd ratios showed that the rs2682818/miR-618 polymorphism is associated with increased probability of breast cancer and is statistically significant (OR=2.97, P=0.0003). The data suggest that rs2682818/miR-618 could be considered a novel marker of increased risk of breast cancer.

Pseudomonas species are metabolically robust, with capacity to produce secondary metabolites including cyclic lipopeptides (CLPs). Herein we conducted a chemical analysis of a crude CLP extract from the cocoyam rhizosphere-derived biocontrol strain Pseudomonas sp. COW3. We performed in silico analyses on its whole genome, and conducted in vitro antagonistic assay using the strain and purified CLPs. Via LC-MS and NMR, we elucidated the structures of four novel members of the bananamide group, named bananamides D-G. Besides variability in fatty acid length, bananamides D-G differ from previously described bananamides A-C and MD-0066 by the presence of a serine and aspartic acid at position 6 and 2, respectively. In addition, bananamide G has valine instead of isoleucine at position 8. Kendrick mass defect (KMD) allowed the assignment of molecular formulae to bananamides D and E. We unraveled a non-ribosomal peptide synthetase cluster banA, banB and banC which encodes the novel bananamide derivatives. Furthermore, COW3 displayed antagonistic activity and mycophagy against Pythium myriotylum, while it mainly showed mycophagy on Pyricularia oryzae. Purified bananamides D-G inhibited the growth of P. myriotylum and P. oryzae and caused hyphal distortion. Our study shows the complementarity of chemical analyses and genome mining in the discovery and elucidation of novel CLPs. In addition, structurally diverse bananamides differ in their antimicrobial activity.

KRAS is one of the most widely prevalent proto-oncogenes in human cancers. The constitutively active KRAS oncoprotein contributes to both tumor onset and cancer development by promoting cell proliferation and anchorage-independent growth in a MAPK pathway-dependent manner. The expression of microRNAs (miRNAs) and the KRAS oncogene are known to be dysregulated in various cancers, while long noncoding RNAs (lncRNAs) can act as regulators of the miRNAs targeting KRAS oncogene in different cancers and have gradually become a focus of research in recent years. In this review article, we summarize recent advances in the research on lncRNAs that have sponging effects on KRAS-targeting miRNAs as crucial mediators of KRAS expression in different cell types and organs. A deeper understanding of lncRNA function in KRAS-driven cancers is of major fundamental importance and will provide a valuable clinical tool for the diagnosis, prognosis, and eventual treatment of cancers.

KRAS is one of the most widely prevalent proto-oncogenes in human cancers. The constitutively active KRAS oncoprotein contributes to both tumor onset and cancer development by promoting cell proliferation and anchorage-independent growth in a MAPK pathway-dependent manner. The expression of microRNAs (miRNAs) and the KRAS oncogene are known to be dysregulated in various cancers, while long noncoding RNAs (lncRNAs) can act as regulators of the miRNAs targetingKRASoncogene in different cancers and have gradually become a focus of research in recent years. In this review article, we summarize recent advances in the research on lncRNAs that have sponging effects on KRAS-targeting miRNAs as crucial mediators of KRAS expression in different cell types and organs. A deeper understanding of lncRNA function in KRAS-driven cancers is of major fundamental importance and will provide a valuable clinical tool for the diagnosis, prognosis, and eventual treatment of cancers.

Epithelial ovarian cancer (EOC) can be considered as a stressful and challenging disease among all women in the world, which has been associated with a poor prognosis and its molecular pathogenesis has remained unclear. In recent years, RNA Sequencing (RNA-seq) has become a functional and amazing technology for profiling gene expression. In the present study, RNA-seq raw data from Sequence Read Archive (SRA) of six tumor and normal ovarian sample was extracted, and then analysis and statistical interpretation was done with Linux and R Packages from the open-source Bioconductor. Gene Ontology (GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied for the identification of key genes and pathways involved in EOC. We identified 1091 Differential Expression Genes (DEGs) which have been reported in various studies of ovarian cancer as well as other types of cancer. Among them, 333 genes were up-regulated and 273 genes were down-regulated. In ...

Epithelial ovarian cancer (EOC) can be considered as a stressful and challenging disease among all women in the world, which has been associated with a poor prognosis and its molecular pathogenesis has remained unclear. In recent years, RNA Sequencing (RNA-seq) has become a functional and amazing technology for profiling gene expression. In the present study, RNA-seq raw data from Sequence Read Archive (SRA) of six tumor and normal ovarian sample was extracted, and then analysis and statistical interpretation was done with Linux and R Packages from the open-source Bioconductor. Gene Ontology (GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied for the identification of key genes and pathways involved in EOC. We identified 1091 Differential Expression Genes (DEGs) which have been reported in various studies of ovarian cancer as well as other types of cancer. Among them, 333 genes were up-regulated and 273 genes were down-regulated. In addition, Differentially Expressed Genes (DEGs) including RPL41, ALDH3A2, ERBB2, MIEN1, RBM25, ATF4, UPF2, DDIT3, HOXB8 and IL17D as well as Ribosome and Glycolysis/Gluconeogenesis pathway have had the potentiality to be used as targets for EOC diagnosis and treatment. In this study, unlike that of any other studies on various cancers, ALDH3A2 was most down-regulated gene in most KEGG pathways, and ATF4 was most up-regulated gene in leucine zipper domain binding term. In the other hand, RPL41 as a regulatory of cellular ATF4 level was up-regulated in many term and pathways and augmentation of ATF4 could justify the increase of RPL41 in the EOC. Pivotal pathways and significant genes, which were identified in the present study, can be used for adaptation of different EOC study. However, further molecular biological experiments and computational processes are required to confirm the function of the identified genes associated with EOC.

KRAS is one of the most widely prevalent proto-oncogenes in human cancers. The constitutively active KRAS oncoprotein contributes to both tumor onset and cancer development by promoting cell proliferation and anchorage-independent growth in a MAPK pathway-dependent manner. The expression of microRNAs (miRNAs) and the KRAS oncogene are known to be dysregulated in various cancers, while long noncoding RNAs (lncRNAs) can act as regulators of the miRNAs targeting KRAS oncogene in different cancers and have gradually become a focus of research in recent years. In this review article, we summarize recent advances in the research on lncRNAs that have sponging effects on KRAS-targeting miRNAs as crucial mediators of KRAS expression in different cell types and organs. A deeper understanding of lncRNA function in KRAS-driven cancers is of major fundamental importance and will provide a valuable clinical tool for the diagnosis, prognosis, and eventual treatment of cancers.

This study aimed to investigate four of the eight PFN-1 mutations that are located near the actin-binding domain and determine the structural changes due to each mutant and unravel how these mutations alter protein structural behavior. Swapaa’s command in UCSF chimera for generating mutations, FTMAP were employed and the data was analyzed by RMSD, RMSF graphs, Rg, hydrogen bonding analysis, and RRdisMaps utilizing Autodock4 and GROMACS. The functional changes and virtual screening, structural dynamics, and chemical bonding behavior changes, molecular docking simulation with two current FDA-approved drugs for ALS were investigated. The highest reduction and increase in Rg were found to exist in the G117V and M113T mutants, respectively. The RMSF data consistently shows changes nearby to this site. The in silico data described indicate that each of the mutations is capable of altering the structure of PFN-1 in vivo. The potential effect of riluzole and edaravone two FDA approved drugs...

This study aimed to investigate four of the eight PFN-1 mutations that are located near the actin-binding domain and determine the structural changes due to each mutant and unravel how these mutations alter protein structural behavior. Swapaa’s command in UCSF chimera for generating mutations, FTMAP were employed and the data was analyzed by RMSD, RMSF graphs, Rg, hydrogen bonding analysis, and RRdisMaps utilizing Autodock4 and GROMACS. The functional changes and virtual screening, structural dynamics, and chemical bonding behavior changes, molecular docking simulation with two current FDA-approved drugs for ALS were investigated. The highest reduction and increase in Rg were found to exist in the G117V and M113T mutants, respectively. The RMSF data consistently shows changes nearby to this site. The in silico data described indicate that each of the mutations is capable of altering the structure of PFN-1 in vivo. The potential effect of riluzole and edaravone two FDA approved drugs...

Odour perception is controlled by environmental and genetic influences. Most people can discriminate over 10,000 different odours, but the molecular basis of this ability is poorly understood. Little is known about which odorant receptors (ORs) detect what odour compounds, and additional research is required to gain knowledge of why detection thresholds for some odorants vary 1000-fold, or more, across people. The primary purpose of this paper is to describe a research strategy for investigating the genetic basis of human odour perception. Background information on human olfaction, human genetics and the associated research approaches is presented. This is followed by a case study on cis-3-hexen-1-ol, a compound which contributes to the 'green leaf' odour (and flavour) in fruit, vegetables and wine. Odour detection threshold data for 48 participants were obtained using the rating R-index methodology. The ability to perceive cis-3-hexen-1-ol odour was tested for association with genetic variability on a genome-wide scale by microarray probe genotyping. A group of significant SNPs on chromosome 6 around the SNP rs9295791 was identified and these localise with a cluster of OR genes which could potentially be involved in perception of cis-3-hexen-1-ol. Further steps required to identify genes and alleles that encode the different ability to perceive cis-3-hexen-1-ol are outlined.

The BLM helicase protein plays a vital role in DNA replication and the maintenance of genomic integrity. Variation in the BLM helicase gene resulted in defects in the DNA repair mechanism and was reported to be associated with Bloom syndrome (BS) and cancer. Despite extensive investigation of helicase proteins in humans, no attempt has previously been made to comprehensively analyse the single nucleotide polymorphism (SNPs) of the BLM gene. In this study, a comprehensive analysis of SNPs on the BLM gene was performed to identify, characterize and validate the pathogenic SNPs using computational approaches. We obtained SNP data from the dbSNP database version 150 and mapped these data to the genomic coordinates of the “NM_000057.3” transcript expressing BLM helicase (P54132). There were 607 SNPs mapped to missense, 29 SNPs mapped to nonsense, and 19 SNPs mapped to 3′-UTR regions. Initially, we used many consensus tools of SIFT, PROVEAN, Condel, and PolyPhen-2, which together increase...

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The human C-type lectin domain family 7 member A (CLEC7A) gene encodes a Dectin-1 protein that recognizes beta-1,3-linked and beta-1,6-linked glucans, which form the cell walls of pathogenic bacteria and fungi. It plays a role in immunity against fungal infections through pathogen recognition and immune signaling. This study aimed to explore the impact of nsSNPs in the human CLEC7A gene through computational tools (MAPP, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT, SNAP, and PredictSNP) to identify the most deleterious and damaging nsSNPs. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-Mutant 2.0, ConSurf, and Project HOPE and post-translational modification analysis using MusiteDEEP. Out of the 28 nsSNPs that were found to be deleterious, 25 nsSNPs affected protein stability. Some SNPs were finalized for structural analysis with Missense 3D. Seven nsSNPs affected protein stability. Results from this study predicted t...

Background: Insulin gene mapped on chromosome 11p15.5 consists of 3 exons, which translated to 51 residues of small globular protein secreted from the secretory granules in β-cells of the pancreatic gland. In this study, we used various computational approaches to identify nsSNPs, which probably be deleterious to the structure and/or function of insulin protein that might be associated with different disease pathophysiology. Methods: The data on human insulin gene retrieved from dbSNP/NCBI. Three functional analysis tools SIFT, Polyphen-2, Provean used to predict whether the effect of retrieved SNPs on the biological function of Insulin based on sequence homology, position-specific independent count scores and the impact of amino acid substitution on protein 3D structure. Then the shortlisted SNPs tested by three disease-associated SNPs predicting tools; Predictor of human Deleterious Single Nucleotide Polymorphisms, Pathogenic mutation prediction and SNPS&GO. Then the disease-causi...

PLCG1 gene is responsible for many T-cell lymphoma subtypes, including peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia/lymphoma along with other diseases. Missense mutations of this gene have already been found in patients of CTCL and AITL. The non-synonymous single nucleotide polymorphisms (nsSNPs) can alter the protein structure as well as its functions. In this study, probable deleterious and disease-related nsSNPs in PLCG1 were identified using SIFT, PROVEAN, PolyPhen-2, PhD-SNP, Pmut, and SNPS&GO tools. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-mutant 2.0, MUpro, Consurf, and Netsurf 2.0 server. Some SNPs were finalized for structural analysis with PyMol and BIOVIA discovery studio visualizer. Out of the 16 nsSNPs which were found to be deleterious, ten nsSNPs had an effect on protein stability, and six mutations (L41...

Background: Hepatocyte growth factor (HGF) protein regulates cell growth, motility, and morphogenesis in a variety of cells and tissues by binding to the HGF receptor. The rs5745687 SNPs in the introns of the HGF gene could affect the splicing and expression of HGF mRNA. Objectives: In this study, the genotype frequency of rs5745687 in breast cancer (BC) and gastric cancer (GC) (positive helicobacter) patients has been investigated and compared with the healthy controls in the Isfahan population. Methods: Firstly, initial bioinformatics studies were done. Then, according to the results, bioinformatics high-resolution melt (HRM) and real-time PCR were recruited to determine genotypes rs5745678 for 432 participants in the case-control analysis (84 GC with 126 healthy control samples, as well as 111 BC cases with 111 normal controls). The conditional logistic regression model was used to measure odds ratios (OR) and 95% confidence intervals (CI) to produce these cancers based on genoty...

Background: Hepatocyte growth factor (HGF) protein regulates cell growth, motility, and morphogenesis in a variety of cells and tissues by binding to the HGF receptor. The rs5745687 SNPs in the introns of the HGF gene could affect the splicing and expression of HGF mRNA. Objectives: In this study, the genotype frequency of rs5745687 in breast cancer (BC) and gastric cancer (GC) (positive helicobacter) patients has been investigated and compared with the healthy controls in the Isfahan population. Methods: Firstly, initial bioinformatics studies were done. Then, according to the results, bioinformatics high-resolution melt (HRM) and real-time PCR were recruited to determine genotypes rs5745678 for 432 participants in the case-control analysis (84 GC with 126 healthy control samples, as well as 111 BC cases with 111 normal controls). The conditional logistic regression model was used to measure odds ratios (OR) and 95% confidence intervals (CI) to produce these cancers based on genoty...

Much of the recent excitement in the cancer immunotherapy approach has been generated by the recognition that immune checkpoint proteins, like the receptor PD-1, can be blocked by antibody-based drugs with profound effects. Promising clinical data have already been released pointing to the efficiency of the drug pembrolizumab to block the PD-1 pathway, triggering the T-lymphocytes to destroy the cancer cells. Thus, a deep understanding of this drug/receptor complex is essential for the improvement of new drugs targeting the protein PD-1. In this context, by employing quantum chemistry methods based on the Density Functional Theory (DFT), we investigate in silico the binding energy features of the receptor PD-1 in complex with its drug inhibitor. Our computational results give a better understanding of the binding mechanisms, being also an efficient alternative towards the development of antibody-based drugs, pointing to new treatments for cancer therapy.

Zingiber officinale Rosc., known as ginger, is an Asian crop, popularly used in every household kitchen and commercially used in bakery, beverage, food and pharmaceutical industries. The present study deals with de novo transcriptome assembly of an elite ginger cultivar Suruchi by next generation sequencing methodology. From the analysis 10.9 GB raw data was obtained which can be available in NCBI accession number SAMN03761185. We identified 41,969 transcripts using Trinity RNA-Seq from ginger rhizome of Suruchi variety from Odisha. The transcript length varied from 300 bp to 8404 bp with a total length of 3,96,40,526 bp and N50 of 1251 bp. To the best of our knowledge, this is the first transcriptome data of an elite ginger cultivar Suruchi released for Odisha state of India which will help molecular biologists to develop genetic markers for identification of cultivars.

Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high quality SNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBI was mined and 38115 ginger ESTs sequences were obtained and assembled into contigs using CAP3 program. In this analysis, recent software tool QualitySNP was used to detect 11523 potential SNPs sites, 8810 high quality SNPs and 1008 indels polymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissues together, rhizomes had a frequency of 0.32 SNPs and 0.03 indels per 10 kbp whereas the leaves had a frequency of 2.51 SNPs and 0.23 indels per 10 kbp and root is showing relative frequency of 0.76/10 kbp SNPs and 0.02/10 kbp indels. The present analysis provides additional information about the tissue wise presence of haplotypes (222), distribution of high quality exonic (2355) and intronic (6455) SNPs and information about singletons (7538) in addition to contigs transitions and transversions ratio (0.57). Among all tissue detected SNPs, transversions number is higher in comparison to the number of transitions. Quality SNPs detected in this work can be used as markers for further ginger genetic experiments.

Background: It has been well documented that social media use among adolescents is rising. However, most research has focused on social media use among typically developing adolescents and less on its use among adolescents with autism spectrum disorder (ASD). The goal of this study was to compare the time spent as well as to identify the purpose of social media use in adolescents with ASD compared to non-ASD adolescents. Methods: This was a cross-sectional study of adolescents between ages 13-18 who were attending a hospital-based child and adolescents psychiatry clinic. Participants completed a self-report 18-item questionnaire to assess the pattern and reasons for using social media sites. The sample size was 26 for ASD and 24 for the non-ASD group. Results: We found that the time spent on social media among adolescents with ASD was comparable to those without ASD diagnosis. However, participants with ASD differed from their non-ASD counterparts in both preferred social media sites as well as reasons for use. The most favourable social media site for ASD adolescents was YouTube. In contrast, the preferred social media site among adolescents without ASD was Snapchat. About 92.3% of participants without ASD reported using social media sites for primarily social interactions. In contrast, 59.1% of participants with ASD reported entertainment purposes as their primary reason for choosing a social media site. Conclusion: Although the current study is based on a small sample of participants, the findings suggest that the pattern of usage and reasons for using social media differ significantly between the two groups. There is, therefore, a definite need for further research with a larger sample size to examine the implications of these differences and to determine how social media could be used as a tool for learning social skills and its efficacy and safety in the ASD population.

The construction of a dense genetic map for Vitis vinifera and its anchoring to a BAC-based physical map is described: it includes 994 loci mapped onto 19 linkage groups, corresponding to the basic chromosome number of Vitis. Spanning 1,245 cM with an average distance of 1.3 cM between adjacent markers, the map was generated from the segregation of 483 SNPbased genetic markers, 132 SSRs, and 379 AFLP® markers in a mapping population of 94 F 1 individuals derived from a V. vinifera cross of the cultivars Syrah and Pinot Noir. Of these markers, 623 were anchored to 367 contigs which are included in a physical map produced from the same clone of Pinot Noir and covering 352 Mbp. Based on contigs containing two or more genetically mapped markers, region-dependent estimations of physical and recombinational distances are presented. The markers used in this study include 118 SSRs common to an integrated map derived from five segregating populations of V. vinifera. The positions of these SSR markers in the two maps are conserved across all Vitis linkage groups. The addition of SNP-based markers introduces polymorphisms that are easy to database, useful for evolutionary studies and that significantly increase the density of the map. The map provides the most comprehensive view of the Vitis genome reported to date and will be relevant for future studies on structural and functional genomics and genetic improvement. AFLP® is a registered trademark and the AFLP® technology is covered by patents and patent applications of Keygene N.V.

Single Nucleotide Polymorphisms (SNPs) are the most common candidate mutations in human beings that play a vital role in the genetic basis of certain diseases. Previous studies revealed that Solute Carrier Family 26 Member 4 (SLC26A4) being an essential gene of the multi-faceted transporter family SLC26 facilitates reflexive movement of Iodide into follicular lumen through apical membrane of thyrocyte. SLC26A4 gene encodes Pendred protein, a membrane glycoprotein, highly hydrophobic in nature, present at the apical membrane of thyrocyte functioning as transporter of iodide for thyroid cells. A minor genetic variation in SLC26A4 can cause Pendred syndrome, a syndrome associated with thyroid glands and deafness. In this study, we performed in-silico analysis of 674 missense SNPs of SLC26A4 using different computational platforms. The bunch of tools including SNPNEXUS, SNAP-2, PhD-SNP, SNPs&GO, I-Mutant, ConSurf, and ModPred were used to predict 23 highly confident damaging and disease causing nsSNPs (G209V,

To compile a new South Asian-informative panel of forensic ancestry SNPs, we changed the strategy for selecting the most powerful markers for this purpose by targeting polymorphisms with near absolute specificity – when the South Asian-informative allele identified is absent from all other populations or present at frequencies below 0.001 (one in a thousand). More than 120 candidate SNPs were identified from 1000 Genomes datasets satisfying an allele frequency screen of ≥ 0.1 (10 % or more) allele frequency in South Asians, and ≤ 0.001 (0.1 % or less) in African, East Asian, and European populations. From the candidate pool of markers, a final panel of 36 SNPs, widely distributed across most autosomes, were selected that had allele frequencies in the five 1000 Genomes South Asian populations ranging from 0.4 to 0.15. Slightly lower average allele frequencies, but consistent patterns of informativeness were observed in gnomAD South Asian datasets used to validate the 1000 Genomes variant annotations. We named the panel of 36 South Asian-specific SNPs Eurasiaplex-2, and the informativeness of the panel was evaluated by compiling worldwide population data from 4097 samples in four genome variation databases that largely complement the global sampling of 1000 Genomes. Consistent patterns of allele frequency distribution, which were specific to South Asia, were observed in all populations in, or closely sited to, the Indian sub-continent. Pakistani populations from the HGDP-CEPH panel had markedly lower allele frequencies, high-lighting the need to develop a statistical system to evaluate the ancestry inference value of counting the number of population-specific alleles present in an individual.

Background Autism spectrum disorder (ASD) is a neurodevelopmental disease, characterized by impaired social communication, executive dysfunction, and abnormal perceptual processing. It is more frequent among males. All of these clinical manifestations are associated with atypical neural development. Various genetic and environmental risk factors are involved in the etiology of autism. Genetic assessment is essential for the early detection and intervention which can improve social communications and reduce abnormal behaviors. Although, there is a noticeable ASD incidence in Middle East countries, there is still a lack of knowledge about the genetic and molecular biology of ASD among this population to introduce efficient diagnostic and prognostic methods. Main body In the present review, we have summarized all of the genes which have been associated with ASD progression among Middle East population. We have also categorized the reported genes based on their cell and molecular functi...

The mitochondrial tumor suppressor 1 (MTUS1) gene acts as a crucial tumor suppressor by inhibiting growth and proliferation of eukaryotic cells including tumor cell lines. Down regulation of MTUS1 gene has been implicated in a wide range of cancers as well as various human diseases. Alteration through nsSNPs can potentially damage the structure and/or function of the protein. As characterization of functional SNPs in such disease linked genes is a major challenge, it is feasible to analyze putative functional SNPs prior to performing larger population studies. Hence, in this in silico study we differentiated the potentially harmful nsSNPs of the MTUS1 gene from the neutral ones by using various sequence and structure based bioinformatic tools. In a total of 215 nsSNPs, 9 were found to be most likely to exert deleterious effect using 7 prediction tools. From which, 5nsSNPs (S1259L, E960K, P503T, L1084V and L1143Q) were selected as potentially damaging due to their presence in the hig...

PLCG1 gene is responsible for many T-cell lymphoma subtypes, including peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia/lymphoma along with other diseases. Missense mutations of this gene have already been found in patients of CTCL and AITL. The non-synonymous single nucleotide polymorphisms (nsSNPs) can alter the protein structure as well as its functions. In this study, probable deleterious and disease-related nsSNPs in PLCG1 were identified using SIFT, PROVEAN, PolyPhen-2, PhD-SNP, Pmut, and SNPS&GO tools. Further, their effect on protein stability was checked along with conservation and solvent accessibility analysis by I-mutant 2.0, MUpro, Consurf, and Netsurf 2.0 server. Some SNPs were finalized for structural analysis with PyMol and BIOVIA discovery studio visualizer. Out of the 16 nsSNPs which were found to be deleterious, ten nsSNPs had an effect on protein stability, and six mutations (L41...

In silico approach was applied for the discovery and characterization of SSRs and SNP markers. RNA sequencing was applied to generate large scale genome-wide transcripts associated with powdery mildew disease of sunflower (Helianthus annuus L.). The sunflower materials from which the transcripts were generated comprised one susceptible (PS 2023B), two cultivated resistant accessions (TX16R, ID 25) and three wild species (H. praecox [1823], H. niveus [1452], and H. debilis [DEB-689]). For the susceptible and resistant accessions, control (no infection) and pooled (with infection) samples were created based on which the transcripts were developed. A total of 123,058 SSRs were discovered from the assembled transcriptome of each accession. Out of this total obtained SSRs, 112,326 were classified as perfect and 10,732 as compound SSRs. The percent contribution of compound SSRs in susceptible and in all the tolerant accessions ranged from 8.51 to 9.15%. There was no prominent or significant difference in the number of SSR motifs, comparing the susceptible and resistant accessions tested. A significantly higher CG motif was observed in the susceptible accessions than in the resistant accessions. We, therefore, speculate that the CG motif might play a vital role in the susceptibility of sunflower to powdery mildew disease. Similarly, the percentage of GC motif was found to be significantly higher in the resistant accessions. It is likely that the GC motifs might be involved in the induction of resistance to powdery mildew in sunflower plants. Trinucleotide motif based predictions resulted in significantly higher levels of the following amino acids in the susceptible accession: Ile, Lys, Met, Phe, Pro, Thr and Val. It is presumed that these amino acids might be involved in the vulnerability to the powdery mildew disease in 2023B. In total 35,390 Single Nucleotide Polymorphisms (SNPs) loci were identified that were distributed on all 17 linkage groups with the average resolution of 443.2 Kb/SNP. Linkage group 10 had the highest localized SNPs (3631) with an average of 576 Kb/ SNP and 7 had least (781) with average of 441 Kb/ SNP. Most of the SNPs identified were observed to be transition mutations with mainly A/G type substitutions. The discovered markers will prove useful after wet laboratory studies for screening and marker assisted breeding for powdery mildew resistance in sunflower.

AKAP3 is a member of the A-kinase anchoring proteins and it is a constituent of the sperm fibrous sheath. AKAP3 is needed for the formation of sperm flagellum structure, sperm motility, and male fertility. This study aims to model the AKAP3 tertiary structure and identify the probable impact of four mutations characterized in infertile men on the AKAP3 structure. The T464S, I500T, E525K, and I661T substitutions were analyzed using in silico methods. The secondary structure and three-dimensional model of AKAP3 were determined using PSI-BLAST based secondary structure prediction and Robetta servers. The TM-score was used to quantitatively measure the structural similarities between native and mutated models. All of the desired substitutions were classified as benign. I-Mutant results showed all of the substitutions decreased AKAP3 stability; however, the I500T and I661T were more effective. Superposition and secondary structure comparisons between native and mutants showed no dramatic deviations. Our study provided an appropriate model for AKAP3. Destabilization of AKAP3 caused by these substitutions did not appear to induce structural disturbances. As AKAP3 is involved in male infertility, providing more structural insights and the impact of mutations that cause protein functional diversity could elucidate the etiology of male fertility problems at molecular level.

Genome-wide association studies (GWASs) for many complex diseases, including inflammatory bowel disease (IBD), produced hundreds of disease-associated loci-the majority of which are noncoding. The number of GWAS loci is increasing very rapidly, but the process of translating single nucleotide polymorphisms (SNPs) from these loci to genomic medicine is lagging. In this study, we investigated 4,734 variants from 152 IBD associated GWAS loci (IBD associated 152 lead noncoding SNPs identified from pooled GWAS results + 4,582 variants in strong linkage-disequilibrium (LD) (r 2 0.8) for EUR population of 1K Genomes Project) using four publicly available bioinformatics tools, e.g. dbPSHP, CADD, GWAVA, and RegulomeDB, to annotate and prioritize putative regulatory variants. Of the 152 lead noncoding SNPs, around 11% are under strong negative selection (GERP++ RS 2); and ~30% are under balancing selection (Tajima's D score >2) in CEU population (1K Genomes Project)-though these regions are positively selected (GERP++ RS <0) in mammalian evolution. The analysis of 4,734 variants using three integrative annotation tools produced 929 putative functional SNPs, of which 18 SNPs (from 15 GWAS loci) are in concordance with all three classifiers. These prioritized noncoding SNPs may contribute to IBD pathogenesis by dysregulating the expression of nearby genes. This study showed the usefulness of integrative annotation for prioritizing fewer functional variants from a large number of GWAS markers.

Background: B-cell chronic lymphocytic leukemia (CLL) is a hematological malignancy that develops from abnormal lymphoid stem cells in the bone marrow and secondary lymphoid tissue (B lymphocytes). One of the significant contributors to the pathogenesis of CLL is mutation of CD38 protein. CD38 is a multifunctional ectoenzyme expressed in B lymphocytes, with a poorly understood in pathogenesis of CLL. Objectives: Here we aimed to bioinformatically appraise CD38 missense single nucleotide polymorphisms that allied to CLL and to predict their effect on the structure and function of CD38 protein. Methodology and Result: A literature review identified two SNPs in CD38 gene that had been discovered by PCR of patients with CLL. Functional analysis by SIFT, Polyphen2, and PROVEAN revealed nine deleterious SNPs in the CD38 coding region. These SNPs were further analyzed by SNAP2, SNP@GO. PMut, STRING and other software packages which confirmed nine of those SNPs to be truly pathogenic. Stability analysis performed using I-Mutant identified seven SNPs that were predicted to decrease the stability of CD38 and two SNPs predicted to increase it; while MUpro identified eight SNPs that were predicted to decrease the stability of the protein and one SNP that was predicted to increase it. Physiochemical analysis was done using Project HOPE to visualize the most significant SNPs using the Chimera software. Finally, the following SNPs (S193C, D147G, and P98L) were predicted as deleterious in relation to the structure and function of CD38 protein by most of the software used in this study. Conclusion: We reported three novel driver SNPs in CD38 gene that could result in deleterious effects on protein structure. This genetic variation might eventually alter the molecular functions of CD38 protein implicated in the development of CLL.

Abstract:The dataset comprises 12X.v2 grapevine reference genome assembly and its VCost.v3 gene annotation in Genbank format. The 12X.v2 chromosome assembly is based on the scaffolds of the grapevine reference genome build (FN594950-FN597014, EMBL release 102; Vitis vinifera cv. PN40024). The data set is provided in support of the data paper: &quot;A new version of the grapevine reference genome assembly (12X.v2) and of its annotation (VCost.v3)&quot; by Canaguier A, Grimplet J, Di Gaspero G, Scalabrin S, Duchêne E, Mohellibi N, Guichard C, Choisne N, Rombault S, Le Clainche I, Bérard A, Chauveau A, Bounon R, Ruztenholtz C, Morgante M, Le Paslier M-C, Brunel D, Adam-Blondon A-F (Genomic Data, 2017, https://doi.org/10.1016/j.gdata.2017.09.002)

Background The antigen processing 1 (TAP1) and proteasome 20S subunit beta 9 (PSMB9) genes are associated with strong susceptibility to many autoimmune diseases. Here, we explored whether TAP1/PSMB9 genetic variants, individually or combined, affected susceptibility to the complex, autoimmune-based skin disorder vitiligo. Methods Samples of genomic DNA from buccal cells of 172 patients with vitiligo and 129 healthy controls were analyzed using TaqMan™ genotyping assays for the TAP1 rs1135216 (A&gt;G) and PSMB9 rs17587 (A&gt;G) single nucleotide polymorphisms (SNPs). SNPStats software (https://www.snpstats.net) was utilized to choose the best interactive inheritance mode for selected SNPs. Results The genotype frequencies for the TAP1 rs1135216 and PSMB9 rs17587 SNPs were in Hardy–Weinberg equilibrium for cases (P= 0.11 and P= 0.10, respectively) but not for controls (P&lt; 0.05). The TAP1 rs1135216 (D637G) and PSMB9 rs17587 (R60H) SNPs increased the risk of vitiligo four-fold and tw...

Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high quality SNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBI was mined and 38115 ginger ESTs sequences were obtained and assembled into contigs using CAP3 program. In this analysis, recent software tool QualitySNP was used to detect 11523 potential SNPs sites, 8810 high quality SNPs and 1008 indels polymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissue...

Zingiber officinale Rosc., known as ginger, is an Asian crop, popularly used in every household kitchen and commercially used in bakery, beverage, food and pharmaceutical industries. The present study deals with de novo transcriptome assembly of an elite ginger cultivar Suruchi by next generation sequencing methodology. From the analysis 10.9 GB raw data was obtained which can be available in NCBI accession number SAMN03761185. We identified 41,969 transcripts using Trinity RNA-Seq from ginger rhizome of Suruchi variety from Odisha. The transcript length varied from 300 bp to 8404 bp with a total length of 3,96,40,526 bp and N50 of 1251 bp. To the best of our knowledge, this is the first transcriptome data of an elite ginger cultivar Suruchi released for Odisha state of India which will help molecular biologists to develop genetic markers for identification of cultivars.