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Background and aims: The single nucleotide polymorphisms (SNPs) in SLC30A8 gene have been recognized as contributing to type 2 diabetes (T2D) susceptibility and colorectal cancer. This study aims to predict the structural stability, and functional impacts on variations in non-synonymous SNPs (nsSNPs) in the human SLC30A8 gene using various computational techniques. Materials and methods: Several in silico tools, including SIFT, Predict-SNP, SNPs&GO, MAPP, SNAP2, PhD-SNP, PANTHER, PolyPhen-1,PolyPhen-2, I-Mutant 2.0, and MUpro, have been used in our study. Results: After data analysis, out of 336 missenses, the eight nsSNPs, namely R138Q, I141N, W136G, I349N, L303R, E140A, W306C, and L308Q, were discovered by ConSurf to be in highly conserved regions, which could affect the stability of their proteins. Project HOPE determines any significant molecular effects on the structure and function of eight mutated proteins and the three-dimensional (3D) structures of these proteins. The two pharmacologically significant compounds, Luzonoid B and Roseoside demonstrate strong binding affinity to the mutant proteins, and they are more efficient in inhibiting them than the typical SLC30A8 protein using Autodock Vina and Chimera. Increased binding affinity to mutant SLC30A8 proteins has been determined not to influence drug resistance. Ultimately, the Kaplan-Meier plotter study revealed that alterations in SLC30A8 gene expression notably affect the survival rates of patients with various cancer types. Conclusion: Finally, the study found eight highly deleterious missense nsSNPs in the SLC30A8 gene that can be helpful for further proteomic and genomic studies for T2D and colorectal cancer diagnosis. These findings also pave the way for personalized treatments using biomarkers and more effective healthcare strategies.

The heme oxygenase-1 (HMOX1) gene is a very critical player in cell homeostasis and takes part in heme catabolism. The HMOX1 gene possesses antioxidant, antiapoptotic anti-inflammatory, and antithrombotic properties. This study aimed to identify the deleterious SNPs which may alter the functional and structural attributes of the HMOX1 protein.

HLA‐B*15:679 and HLA‐C*15:02:01:61 differ from HLA‐B*15:12:01 and HLA‐C*15:02:01:01 by a single nucleotides. [ABSTRACT FROM AUTHOR]

Background: Leukemia is the most common type of cancer in pediatrics. Genomic mutations contribute towards the molecular mechanism of disease progression and also helps in diagnosis and prognosis. This is the first scientific mutational exploration in whole exome of pediatric leukemia patients from a cancer prone endogamous Mizo tribal population, Northeast India. Result: Three non-synonymous exonic variants in NOTCH1 (p.V1699E), MUTYH (p.G143E) and PTPN11 (p.S502P) were found to be pathogenic. A novel in-frame insertion-deletion within the juxtamembrane domain of FLT3 (p.Tyr589_Tyr591delinsTrpAlaGlyAsp) was also observed. Conclusion: These unique variants could have a potential mutational significance and these could be candidate genes in elucidating the possibility of predisposition to cancers within the population. This study merits further investigation for its role in diagnosis and prognosis and also suggests the need for population wide screening to identify unique mutations that might play a key role towards precision medicine. [ABSTRACT FROM AUTHOR]

Adenosine-to-inosine (A-to-I) RNA editing leads to functional change of neurotransmitter receptor which is essential for neurotransmission and normal neuronal development. As a highly accessible part of central nervous system, retina has been extensively studied, however, it remains largely unknown how RNA editing regulates its development. Here, a genome-wide screening of high-confidence RNA editing events were performed to decipher the dynamic transcriptome regulation by RNA editing during mouse retinal development. 2000 high-confidence editing sites across eight developmental stages of retina were called. Three unique patterns (RNA-editinghigh pattern, RNA-editingmedium pattern and RNA-editinglow pattern) were identified by clustering these editing sites based on their editing level during retinal development. Editing events from RNA-editinghigh pattern were significantly associated with glutamate receptors and regulated synaptic transmission. Interestingly, most non-synonymous high-editing sites were mapped to ion channel genes of glutamatergic synapse which were associated with neurotransmission by controlling ion channel permeability and affecting exocytosis. Meanwhile, these non-synonymous editing sites were evolutionarily conserved and exhibited a consistently increasing editing levels between mouse and human retinal development. Single-cell RNA-seq data analysis revealed that RNA editing events prefer to occur in two main cell types including bipolar and amacrine cells. Genes with non-synonymous high-editing sites were enriched in both bipolar cells and retina ganglion cells, which may mediate retina ganglion cell differentiation by altering channel ion permeability. Together, our results provide novel insights into mechanism of post-transcriptional regulation during retinal development and help to develop novel RNA editing-guided therapeutic strategies for retinal disorders.

Aim: To determine if In silico methods can be used to identify pathogenic non-synonymous variants in the ACTN3 (alpha actinin 3) alpha actinin gene that encodes for alpha actinin 3 three protein employing computational tools. Materials and Methods: In silico methods of detecting pathogenic variants were initiated by identifying 854 reported non-synonymous mutations in the ACTN3 gene from the Ensembl database. The non-synonymous variants of ACTN3-201 (transcript ID: ENST00000502692.5) were derived from the Ensembl database. Variants found to be pathogenic were curated using SIFT tool (The Sorting Intolerant From Tolerant), PolyPhen2 (Polymorphism Phenotyping v2), and PROVEAN (Protein Variation Effect Analyzer). The panel of curated variants was analyzed for protein stability based on substituting existing amino acid residue with a variant encoded amino acid using IMutant 3.0. Results: Among 854 variants reported in the ACTN3 gene, 26 were found to be harmful, and possibly pathogenic. The SIFT tool identified 15 variants to be highly intolerant, PolyPhen2 identified two other variants as possibly damaging, and PROVEAN predicted two variants to be highly harmful. Finally, IMutant 3.0 showed that one (single nucleotide polymorphism) resulted in decreased stability of the ACTN3 protein. Conclusions: Applying in silico approaches can help researchers identify variants exhibiting putative association with the disease phenotype.

In-silico studies on SARS-CoV-2 genome are considered important to identify the significant pattern of variations and its possible effects on the structural and functional characteristics of the virus. The current study determined such genetic variations and their possible impact among SARS-CoV-2 variants isolated in India. A total of 546 SARS-CoV-2 genomic sequences (India) were retrieved from the gene bank (NCBI) and subjected to alignment against the Wuhan variant (NC_045512.2), the corresponding amino acid changes were analyzed using NCBI Protein-BLAST. These 546 variants revealed 841 mutations; most of these were non-synonymous 464/841 (55.1%), there was no identical variant compared to the original strain. All genes; coding and non-coding showed nucleotide changes, most of the structural genes showed frequent nonsynonymous mutations. The most affected genes were ORF1a/b followed by the S gene which showed 515/841 (61.2%) and 120/841 (14.3%) mutations, respectively. The most frequent non-synonymous mutation 486/546 (89.01%) occurred in the S gene (structural gene) at position 23,403 where A changed to G leading to the replacement of aspartic acid by glycine in position (D614G). Interestingly, four variants also showed deletion. The variants MT800923 and MT800925 showed 12 consecutive nucleotide deletion in position 21982–21993 resulting in 4 consecutive amino acid deletions that were leucine, glycine, valine, and tyrosine in positions 141, 142, 143, and 144 respectively. The present study exhibited a higher mutations rate per variant compared to other studies carried out in India. [ABSTRACT FROM AUTHOR]

Abstract Background Leptin is a versatile hormone with a variety of functions, including regulation of food intake by inhibiting hunger. Any deleterious mutation in this protein can lead to serious consequences for the body. This study was conducted to identify the most deleterious non-synonymous single-nucleotide polymorphisms (nsSNPs) of human LEP gene and their impact on its encoded protein. Methods To predict the possible impact of nsSNPs on leptin, a total of 90 nsSNPs were retrieved from dbSNP and investigated using many in silico tools which specially designed to analyze nsSNPs’ consequences on the protein structure, function, and stability. Results Three nsSNPs, namely D76V, L161R, and C117S, were found to be completely deleterious by all utilized nsSNPs prediction tools, thus affecting leptin protein structure, biological activity, and stability. Evolutionary information indicated L161R and C117S mutations to be located in extremely high conserved positions. Furthermore, several deleterious mechanisms controlled by both L161R and C117S mutations which alter several motifs in the secondary structure of leptin were detected. However, all D76V, L161R, and C117S mutations exhibited alteration in polar interactions in their representative positions. Further in-depth analyses proved several harmful structural effects of the three nsSNPs on leptin, which may lead to multiple intrinsic disorders in the altered protein forms. Conclusions This study provides the first comprehensive computation of the effect of the most damaging nsSNPs on leptin. The exploration of these missense mutations may present novel perspectives for various deleterious consequences originated from such amino acids substitutions. The dynamics of leptin performance, therefore, in many biological pathways, may be changed to create a variety of disorders, such as obesity and diabetes. These findings will help in detecting the most harmful variations needed to be screened for clinically diagnosed patients with leptin disorders. Trial registration ISRCTN73824458

Background and Aims: The single nucleotide polymorphisms (SNPs) in SLC30A8 gene have been recognized as contributing to type 2 diabetes (T2D) susceptibility and colorectal cancer. This study aims to predict the structural stability, and functional impacts on variations in non-synonymous SNPs (nsSNPs) in the human SLC30A8 gene using various computational techniques., Materials and Methods: Several in silico tools, including SIFT, Predict-SNP, SNPs&GO, MAPP, SNAP2, PhD-SNP, PANTHER, PolyPhen-1,PolyPhen-2, I-Mutant 2.0, and MUpro, have been used in our study., Results: After data analysis, out of 336 missenses, the eight nsSNPs, namely R138Q, I141N, W136G, I349N, L303R, E140A, W306C, and L308Q, were discovered by ConSurf to be in highly conserved regions, which could affect the stability of their proteins. Project HOPE determines any significant molecular effects on the structure and function of eight mutated proteins and the three-dimensional (3D) structures of these proteins. The two pharmacologically significant compounds, Luzonoid B and Roseoside demonstrate strong binding affinity to the mutant proteins, and they are more efficient in inhibiting them than the typical SLC30A8 protein using Autodock Vina and Chimera. Increased binding affinity to mutant SLC30A8 proteins has been determined not to influence drug resistance. Ultimately, the Kaplan-Meier plotter study revealed that alterations in SLC30A8 gene expression notably affect the survival rates of patients with various cancer types., Conclusion: Finally, the study found eight highly deleterious missense nsSNPs in the SLC30A8 gene that can be helpful for further proteomic and genomic studies for T2D and colorectal cancer diagnosis. These findings also pave the way for personalized treatments using biomarkers and more effective healthcare strategies., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

BackgroundPlasmodium erythrocyte invasion genes play a key role in malaria parasite transmission, host-specificity and immuno-evasion. However, the evolution of the genes responsible remains understudied. Investigating these genes in avian malaria parasites, where diversity is particularly high, offers new insights into the processes that confer malaria pathogenesis. These parasites can pose a significant threat to birds and since birds play crucial ecological roles they serve as important models for disease dynamics. Comprehensive knowledge of the genetic factors involved in avian malaria parasite invasion is lacking and has been hampered by difficulties in obtaining nuclear data from avian malaria parasites. Thus the first Illumina-based de novo transcriptome sequencing and analysis of the chicken parasite Plasmodium gallinaceum was performed to assess the evolution of essential Plasmodium genes.MethodsWhite leghorn chickens were inoculated intravenously with erythrocytes containing P. gallinaceum. cDNA libraries were prepared from RNA extracts collected from infected chick blood and sequencing was run on the HiSeq2000 platform. Orthologues identified by transcriptome sequencing were characterized using phylogenetic, ab initio protein modelling and comparative and population-based methods.ResultsAnalysis of the transcriptome identified several orthologues required for intra-erythrocytic survival and erythrocyte invasion, including the rhoptry neck protein 2 (RON2) and the apical membrane antigen-1 (AMA-1). Ama-1 of avian malaria parasites exhibits high levels of genetic diversity and evolves under positive diversifying selection, ostensibly due to protective host immune responses.ConclusionErythrocyte invasion by Plasmodium parasites require AMA-1 and RON2 interactions. AMA-1 and RON2 of P. gallinaceum are evolutionarily and structurally conserved, suggesting that these proteins may play essential roles for avian malaria parasites to invade host erythrocytes. In addition, host-driven selection presumably results in the high levels of genetic variation found in ama-1 of avian Plasmodium species. These findings have implications for investigating avian malaria epidemiology and population dynamics. Moreover, this work highlights the P. gallinaceum transcriptome as an important public resource for investigating the diversity and evolution of essential Plasmodium genes.

Dietary intervention is effective in human health promotion through modulation of gut microbiota. Diet can cause single-nucleotide polymorphisms (SNPs) to occur in the gut microbiota, and some of these variations may lead to functional changes in human health. In this study, we performed a systematic SNP analysis based on metagenomic data collected from children with Prader–Willi syndrome (PWS, n = 17) and simple obese (SO) children (n = 19), who had better healthy conditions after receiving high-fiber diet intervention. We found that the intervention increased the SNP proportions of Faecalibacterium, Bifidobacterium, and Clostridium and decreased those of Bacteroides in all children. Besides, the PWS children had Collinsella increased and Ruminococcus decreased, whereas the SO had Blautia and Escherichia decreased. There were much more BiasSNPs in PWS than in SO (4,465 vs 303), and only 81 of them appeared in both groups, of which 78 were from Faecalibacterium prausnitzii, and 51 were nonsynonymous mutations. These nonsynonymous variations were mainly related to pathways of environmental adaptation and nutrition metabolism, particularly to carbohydrate and nucleotide metabolism. In addition, dominant strains carrying BiasSNPs in all children shifted from F. prausnitzii AF32-8AC and F. prausnitzii 942/30-2 to F. prausnitzii SSTS Bg7063 and F. prausnitzii JG BgPS064 after the dietary intervention. Furthermore, although the abundance of Bifidobacterium increased significantly by the intervention and became dominant strains responsible for nutrition metabolism, they had less BiasSNPs between the pre- and post-intervention group in comparison with Faecalibacterium. The finding of F. prausnitzii as important functional strains influenced by the intervention highlights the superiority of applying SNP analysis in studies of gut microbiota. This study provided evidence and support for the effect of dietary intervention on gut microbial SNPs, and gave some enlightenments for disease treatment.

Dietary intervention is effective in human health promotion through modulation of gut microbiota. Diet can cause single-nucleotide polymorphisms (SNPs) to occur in the gut microbiota, and some of these variations may lead to functional changes in human health. In this study, we performed a systematic SNP analysis based on metagenomic data collected from children with Prader–Willi syndrome (PWS, n = 17) and simple obese (SO) children (n = 19), who had better healthy conditions after receiving high-fiber diet intervention. We found that the intervention increased the SNP proportions of Faecalibacterium , Bifidobacterium , and Clostridium and decreased those of Bacteroides in all children. Besides, the PWS children had Collinsella increased and Ruminococcus decreased, whereas the SO had Blautia and Escherichia decreased. There were much more BiasSNPs in PWS than in SO (4,465 vs 303), and only 81 of them appeared in both groups, of which 78 were from Faecalibacterium prausnitzii , and 51 were nonsynonymous mutations. These nonsynonymous variations were mainly related to pathways of environmental adaptation and nutrition metabolism, particularly to carbohydrate and nucleotide metabolism. In addition, dominant strains carrying BiasSNPs in all children shifted from F. prausnitzii AF32-8AC and F. prausnitzii 942/30-2 to F. prausnitzii SSTS Bg7063 and F. prausnitzii JG BgPS064 after the dietary intervention. Furthermore, although the abundance of Bifidobacterium increased significantly by the intervention and became dominant strains responsible for nutrition metabolism, they had less BiasSNPs between the pre- and post-intervention group in comparison with Faecalibacterium. The finding of F. prausnitzii as important functional strains influenced by the intervention highlights the superiority of applying SNP analysis in studies of gut microbiota. This study provided evidence and support for the effect of dietary intervention on gut microbial SNPs, and gave some enlightenments for disease treatment. [ABSTRACT FROM AUTHOR]

SLC20A1/PiT1 is a sodium-dependent inorganic phosphate transporter, initially recognized as the retroviral receptor for Gibbon Ape Leukemia Virus in humans. SNPs in SLC20A1 is associated with Combined Pituitary Hormone Deficiency and Sodium Lithium Counter transport. Using in silico techniques, we have screened the nsSNPs for their deleterious effect on the structure and function of SLC20A1. Screening with sequence and structure-based tools on 430 nsSNPs, filtered 17 nsSNPs which are deleterious. To evaluate the role of these SNPs, protein modeling and MD simulations were performed. A comparative analysis of model generated with SWISS-MODEL and AlphaFold shows that many residues are in the disallowed region of Ramachandran plot. Since SWISS-MODEL structure has a 25-residue deletion, the AlphaFold structure was used to perform MD simulation for equilibration and structure refinement. Further, to understand perturbation of energetics, we performed in silico mutagenesis and ΔΔG calculation using FoldX on MD refined structures, which yielded SNPs that are neutral (3), destabilizing (12) and stabilizing (2) on protein structure. Furthermore, to elucidate the impact of SNPs on structure, we performed MD simulations to discern the changes in RMSD, Rg, RMSF and LigPlot of interacting residues. RMSF profiles of representative SNPs revealed that A114V (neutral) and T58A (positive) were more flexible & C573F (negative) was more rigid compared to wild type, which is also reflected in the changes in number of local interacting residues in LigPlot and ΔΔG. Taken together, our results show that SNPs can lead to structural perturbations and impact the function of SLC20A1 with potential implications for disease.Communicated by Ramaswamy H. Sarma.

• First report of mtDNA coding and non-coding variants among TB patients. • In coding region, a total of 94 variants were present in different genes. • Variants in ND2 and ND6 genes were deleterious in Polyphen-2 and Provean. • 83 variants were observed in non-coding region (D-loop, 16 s, 12 s, tRNA-Gln, Thr). Tuberculosis caused by Mycobacterium tuberculosis is one of the main global health concerns. In this study, the entire mitochondrial genome from blood samples of tuberculosis patients was analyzed to understand the possible mtDNA variants. The potential impact of non-synonymous substitutions on protein functions were determined using prediction tools. 28 non- synonymous variants were found of which 2 variants (MT-ND2 g. A > G4824 p.T119A and MT-ND6 g. T > C14180 p.Y165C) were found to be deleterious among the cases only. Majority of the variants lie in the D-loop of the non-protein coding region of the mitochondrial DNA. We propose that mutations in the mitochondrial genome need to be validated further to understand their association with tuberculosis. [ABSTRACT FROM AUTHOR]

• The current work is the first approach related to mtDNA sequencing from a high risk tribal population. • Mutations in the coding and noncoding regions of the mitochondria might have contribution towards the development of T2D. • This study can be used as a diagnostic marker towards T2D. The variants reported for mitochondrial DNA (mtDNA) and type 2 diabetes (T2D) may not be accountable for the disease in certain other populations and the risk depends upon numerous factors which may include genetics, environment as well as ethnicity. This leads to a challenge in identifying, exploring and comparing the variants between diabetic cases and healthy controls in a remote unexplored tribal population. To study the possible contribution of mtDNA variants, we sequenced the entire mitochondrial genomes and the frequencies of mtSNPs, their association with familial T2D and the potential impact of non-synonymous substitutions on protein functions were determined. The mtSNP 8584 G > A (ATP6: A20T) was detected in 14.28% of the diabetic patients and none in the control groups. The mitochondrial ND3 variant 10398A > G was found to be significantly associated with the risk of T2D (OR = 9.489, 95% CI = 1.161–77.54, P value = 0.036). A novel Frame-shift substitution ND5: 81_81ins A at position 12,417 was observed in 53.57% of diabetic individuals. Majority of the variants lie in tRNA-Phe in the non-protein coding region of mtDNA for both diabetic cases and common cases. We concluded that mutations in the coding (synonymous or non-synonymous) and noncoding regions of the mitochondria might have contribution towards the development of T2D. Our study is the first to report the distinct mitochondrial variants which may be attributed to the susceptibility as well as development of type 2 diabetes in an ethnic tribe from northeast India. [ABSTRACT FROM AUTHOR]

Background: Leptin is a versatile hormone with a variety of functions, including regulation of food intake by inhibiting hunger. Any deleterious mutation in this protein can lead to serious consequences for the body. This study was conducted to identify the most deleterious non-synonymous single-nucleotide polymorphisms (nsSNPs) of human LEP gene and their impact on its encoded protein. Methods: To predict the possible impact of nsSNPs on leptin, a total of 90 nsSNPs were retrieved from dbSNP and investigated using many in silico tools which specially designed to analyze nsSNPs' consequences on the protein structure, function, and stability. Results: Three nsSNPs, namely D76V, L161R, and C117S, were found to be completely deleterious by all utilized nsSNPs prediction tools, thus affecting leptin protein structure, biological activity, and stability. Evolutionary information indicated L161R and C117S mutations to be located in extremely high conserved positions. Furthermore, several deleterious mechanisms controlled by both L161R and C117S mutations which alter several motifs in the secondary structure of leptin were detected. However, all D76V, L161R, and C117S mutations exhibited alteration in polar interactions in their representative positions. Further in-depth analyses proved several harmful structural effects of the three nsSNPs on leptin, which may lead to multiple intrinsic disorders in the altered protein forms. Conclusions: This study provides the first comprehensive computation of the effect of the most damaging nsSNPs on leptin. The exploration of these missense mutations may present novel perspectives for various deleterious consequences originated from such amino acids substitutions. The dynamics of leptin performance, therefore, in many biological pathways, may be changed to create a variety of disorders, such as obesity and diabetes. These findings will help in detecting the most harmful variations needed to be screened for clinically diagnosed patients with leptin disorders. Trial registration: ISRCTN73824458 [ABSTRACT FROM AUTHOR]

Genome analysis in animals has introduced new criteria for selection and development of strategies for increasing herd productive and reproductive potential through breeding. Leptin gene has been established as a potential candidate for marker assisted selection of animals. This study was aimed to find polymorphism in leptin gene and its relationship with male reproductive traits and semen quality parameters in 99 Nili-Ravi buffalo breeding bulls. DNA was extracted from whole blood for genome analysis of each experimental bull. PCR product was sequenced and data was analyzed for polymorphism. Results revealed the presence of R159Q polymorphism at position c.523. This polymorphism was heterozygous and the change of guanine to adenine (G>A) nucleotide was noted in experimental bulls. Sequence comparison of leptin gene revealed two genotypes, GG and GA, with frequencies of 68.69 and 31.31%, respectively. The allelic frequencies for A and G allele were 15.66 and 84.34%, respectively. Codon CGG was changed into CAG, which resulted in glutamine production instead of arginine (R>Q). Further analysis of data showed that the R159Q polymorphism was significantly negatively correlated with sperm motility after freezing. However, it had non-significant correlation with ejaculatory volume, mass activity, sperm concentration, individual sperm motility, sperm motility after dilution, live and dead sperm percentage. Findings of present study suggest that R159Q polymorphism of leptin gene might be considered as genetic marker for selection of buffalo bulls. Further study is needed to explore the mutations in other regions of this gene which may affect semen quality parameters in males of this specie. [ABSTRACT FROM AUTHOR]

Selective sweep can cause genetic differentiation across populations, which allows for the identification of possible causative regions/genes underlying important traits. The pig has experienced a long history of allele frequency changes through artificial selection in the domestication process. We obtained an average of 329,482,871 sequence reads for 24 pigs from three pig breeds: Yorkshire (n = 5), Landrace (n = 13), and Duroc (n = 6). An average read depth of 11.7 was obtained using whole-genome resequencing on an Illumina HiSeq2000 platform. In this study, cross-population extended haplotype homozygosity and cross-population composite likelihood ratio tests were implemented to detect genes experiencing positive selection for the genome-wide resequencing data generated from three commercial pig breeds. In our results, 26, 7, and 14 genes from Yorkshire, Landrace, and Duroc, respectively were detected by two kinds of statistical tests. Significant evidence for positive selection was identified on genes ST6GALNAC2 and EPHX1 in Yorkshire, PARK2 in Landrace, and BMP6, SLA-DQA1, and PRKG1 in Duroc.These genes are reportedly relevant to lactation, reproduction, meat quality, and growth traits. To understand how these single nucleotide polymorphisms (SNPs) related positive selection affect protein function, we analyzed the effect of non-synonymous SNPs. Three SNPs (rs324509622, rs80931851, and rs80937718) in the SLA-DQA1 gene were significant in the enrichment tests, indicating strong evidence for positive selection in Duroc. Our analyses identified genes under positive selection for lactation, reproduction, and meat-quality and growth traits in Yorkshire, Landrace, and Duroc, respectively.

Critical for brain development, neurodevelopmental and network disorders, the GABRA1 gene encodes for the α1 subunit, an abundantly and developmentally expressed subunit of heteropentameric gamma-aminobutyric acid A receptors (GABA A Rs) mediating primary inhibition in the brain. Mutations of the GABA A R subunit genes including GABRA1 gene are associated with epilepsy, a group of syndromes, characterized by unprovoked seizures and diagnosed by integrative approach, that involves genetic testing. Despite the diagnostic use of genetic testing, a large fraction of the GABA A R subunit gene variants including the variants of GABRA1 gene is not known in terms of their molecular consequence, a challenge for precision and personalized medicine. Addressing this, one hundred thirty-seven GABRA1 gene variants of unknown clinical significance have been extracted from the ClinVar database and computationally analyzed for pathogenicity. Eight variants (L49H, P59L, W97R, D99G, G152S, V270G, T294R, P305L) are predicted as pathogenic and mapped to the α1 subunit's extracellular domain (ECD), transmembrane domains (TMDs) and extracellular linker. This is followed by the integration with relevant data for cellular pathology and severity of the epilepsy syndromes retrieved from the literature. Our results suggest that the pathogenic variants in the ECD of GABRA1 (L49H, P59L, W97R, D99G, G152S) will probably manifest decreased surface expression and reduced current with mild epilepsy phenotypes while V270G, T294R in the TMDs and P305L in the linker between the second and the third TMDs will likely cause reduced cell current with severe epilepsy phenotypes. The results presented in this study provides insights for clinical genetics and wet lab experimentation., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Author.)

Indian buffalo ( Bubalus bubalis) breeds are acknowledged for their disease resistance power, hardiness and considerable milk production. River buffaloes are more disease resistance despite of tropical environment of India than cattle breeds of the world. The genetic polymorphisms of innate immune genes play a prominent role in disease susceptibility of livestock. Here in our study, we mainly focused on SNPs in ten selected candidate innate immune genes viz CHGA, CHGB, CHGC, Slc11a1, Slc11a2, DEFB1, BNBD4, BNBD5, LAP and TAP among three most economically important Indian buffalo breeds viz., Jaffrabadi, Mehsani and Murrah using amplicon sequencing on Ion torrent PGM sequencing platform. Polymorphism identification using by GATK tool of Unified Genotyper revealed 274, 245 and 224 high quality SNPs in Jaffrabadi, Mehsani and Murrah buffalo breeds, respectively as well as 168 common SNPs among these three breeds and uniquely detected SNPs were 31, 15 and 37 SNPs in Jaffrabadi, Mehsani and Murrah breeds respectively. Consequences of non-synonymous SNPs were analysed using several computational tools viz., I-Mutant, SIFT, PolyPhen and PROVEAN which identified three deleterious nsSNPs. This wealth of sequence information will be productive for conservation studies, selective breeding and designing future strategies for identifying disease associations. [ABSTRACT FROM AUTHOR]

While conventional organization of EGFR mutations in non-small cell lung cancer (NSCLC) includes classic lesions sensitive to tyrosine kinase inhibitors (TKI) and variants localized to the tyrosine kinase domain (TKD) in exons 18-21, next-generation sequencing (NGS) raises the prospect of identifying clinically relevant variants in extra-TKD regulatory regions. NSCLC patients at our institution who received tumor profiling with NGS from 2013 to 2015 were identified. EGFR mutations were arranged based upon their distribution relative to the TKD. In silico analysis was performed to predict non-synonymous single nucleotide polymorphism (nsSNP) pathogenicity. Of 247 patients, 43 EGFR variants were seen in 39 patients (16%). While 32 had TKD lesions demonstrable through standard testing, 7 had extra-TKD nsSNPs (7/43), of which 5 were extracellular domain (ECD), 1 juxtamembrane (JM) and 1 carboxy-terminal (CT). Aside from known pathogenic ECD mutation G598V, 5/6 extra-TKD nsSNPs were predicted damaging with in silico analysis. Seven of 7 extra-TKD nsSNP+ patients smoked and were stage IV; 5/7 were adenocarcinoma. An adenocarcinoma patient with JM R675Q had erlotinib, 150 mg daily, added following progression of disease on carboplatin and paclitaxel and had a partial response for 4 months. No other extra-TKD nsSNP+ patient received EGFR-directed therapy. >2% NSCLC cases in our cohort had EGFR nsSNPs located outside of the TKD, representing >16% of all EGFR mutations. Extra-TKD variants should be characterized collaboratively to determine TKI sensitivity and additional therapeutic targets. [ABSTRACT FROM AUTHOR]

Commercial vaccines based on recombinant forms of the Bm86 tick gut antigen are used to control the southern cattle tick, Rhipicephalus microplus , a 1-host species, in Australia and Latin America. We describe herein sequence polymorphism in genes encoding Ra86 homologues of Bm86 in the brown ear tick, Rhipicephalus appendiculatus , isolated from four Kenyan field populations and one laboratory colony. Sequencing of 19 Ra86 sequences defined two alleles differentiated by indels, encoding 693 amino acids (aa) and 654 aa respectively, from the Muguga laboratory reference strain. Ra86 sequences were also determined from gut cDNA from four field populations of R. appendiculatus collected in different livestock production systems in Kenya. Analysis of approximately 20 Ra86 sequences from each of the four field sites in central and Western Kenya; Makuyu, Kiambu, Kakamega and Uasin Gishu, revealed three additional size types differentiated by 39–49 amino acid indels resulting in a total of 5 indel-defined genotypes. The 693 aa type 5 was isolated only from the laboratory tick stock; genotypes 1, 2 and 3 were identified in ticks from the four Kenyan field sites and appeared to be derivatives of the shorter RA86 genotype found in Muguga laboratory stock genotype 4. By contrast no large indels have yet been observed between R . microplus sequences from Australia, South America or Africa. Evidence that selection contributes to the observed sequence variation was provided by analysis of ratio of synonymous and non-synonymous substitutions and application of the selective neutrality and neutral evolution tests to the primary data. Phylogenetic analysis clustered sequences from all Ra86 size types and Bm86, into four major clades based on amino acid substitutions, but there was no evidence that these groupings correlated with geographical separation of R . appendiculatus populations [ABSTRACT FROM AUTHOR]

Background Human Immunodeficiency Virus (HIV) and Schistosomiasis co-infection is common among residents at the shores of Lake Victoria in Kenya. About 36% of this population initiating antiretroviral therapy (ART) experience Immune Reconstitution Inflammatory Syndrome (IRIS) that complicates recovery. Several IL-23R alleles have been associated with susceptibility to both autoimmune and inflammatory diseases through T-helper type 17 (TH17) cells. However, whether or not variants within the IL-23R increase susceptibility to IRIS in western Kenya is unknown. The objective of the current study was to determine the association between IL-23R gene polymorphisms, CD4+ cell counts and HIV RNA levels and IRIS in HIV and Schistosoma mansoni co-infected patients undergoing highly active anti-retroviral therapy (HAART).Methods A three-month case-control study was conducted on antiretroviral naÏve schistosomiasis/HIV co-infected fishermen starting HAART in Uyoma Rarieda, Siaya County, Kenya. Seventy one patients were sampled at baseline and followed up for three months, to establish if they developed Schistosoma-related IRIS. In addition, the CD4+ cell counts and HIV RNA levels were determined in pre- and post-administration of HAART. Variations at five polymorphic sites of IL-23R (rs1884444, rs11465754, rs6682925, rs7530511 and rs7539625) based on >10% minor allele frequency in Yoruban reference population was determined using Allelic Discrimination Assay. The association between the five variants and susceptibility to IRIS was determined using logistic regression while controlling for potential confounders. In addition, the functional differences between the baseline CD4 + Cell counts and viral loads were determined using medians while across IL-23R genotypes were determined using Kruskal-Wallis tests. Results Overall, 26 (36.6%) patients developed schistosomiasis-associated IRIS at a median age of 35.5 years. Carriage of the TT genotype at the non-synonymous rs1884444 T > G relative to GG, was associated with a decreased risk of schistosomiasis-associated IRIS (OR, 0.25, 95% CI, 0.07-0.96, P = 0.043) while both baseline CD4+ cell counts and viral loads had no association with IRIS. Conclusion These findings indicate that the non-synonymous variant rs1884444 T > G of IL-23R is associated with a decreased risk to schistosomiasis-associated IRIS. However, additional studies in a larger cohort and with an all inclusive polymorphic variants in the synonymous and non-synonymous regions need to be evaluated. [ABSTRACT FROM AUTHOR]

In this study, we determined the association of 1180 non-synonymous single-nucleotide polymorphisms (SNPs) with systolic blood pressure (SBP) and hypertensive status. A total of 8842 subjects were taken from two community-based cohorts-Ansung (n=4183) and Ansan (n=4659), South Korea-which had been established for genome-wide association studies (GWAS). Five SNPs (rs16835244, rs2286672, rs6265, rs17237198 and rs7312017) were significantly associated (P-values: 0.003-0.0001, not corrected for genome-wide significance) with SBP in both cohorts. Of these SNPs, rs16835244 and rs2286672 correlated with risk for hypertension. The rs16835244 SNP replaces Ala288 in arginine decarboxylase (ADC) with serine, and rs2286672 replaces Arg172 in phospholipase D2 (PLD2) with cysteine. A comparison of peptide sequences between vertebrate homologues revealed that the SNPs identified occur at conserved amino-acid residues. In silico analysis of the protein structure showed that the substitution of a polar residue, serine, for a non-polar alanine at amino-acid residue 288 affects a conformational change in ADC, and that Arg172 in PLD2 resides in the PX domain, which is important for membrane trafficking. These results provide insights into the function of these non-synonymous SNPs in the development of hypertension. The study investigating non-synonymous SNPs from GWAS not only by statistical association analysis but also by biological relevance through the protein structure might be a good approach for identifying genetic risk factors for hypertension, in addition to discovering causative variations. [ABSTRACT FROM AUTHOR]

Abstract: A reduction of deoxyribonuclease I (DNase I) activity levels in the serum of patients with autoimmune diseases has been reported. The objectives of this study were to clarify genetic and biochemical aspects of 12 non-synonymous SNPs in the human gene (DNASE1), potentially giving rise to an alteration in the in vivo DNase I activity levels. Genotyping of all the non-synonymous SNPs was performed in healthy subjects of three ethnic groups including 15 populations using newly developed methods. Among them, only four SNPs, R-21S, Y95S, G105R, and Q222R were polymorphic in all or some populations; Asian group showed a relatively low genetic diversity of these SNPs. Furthermore, the distribution pattern of the common SNP Q222R was classified into three ethnic groups. The activity levels of the amino acid-substituted DNase I forms derived from SNPs R-21S, G105R, P132A, and P197S were significantly high compared with that of the wild-type; the polymorphic SNPs R-21S and G105R gave rise to a high activity-harboring DNase I isoform. On the other hand, activity levels from Q35H, R85G, V89M, C209Y, Q222R, and A224P were significantly low, but these SNPs, except Q222R, were not distributed in any of the populations. However, since these SNPs may produce potentially low levels of in vivo DNase I activity, a minor allele in each SNP will be served as a genetic risk factor for autoimmune diseases. These findings on non-synonymous SNPs in DNASE1 may provide a biochemical-genetic basis for the clarification of a possible relationship between DNase I and the diseases. [Copyright &y& Elsevier]

Abstract: Non-synonymous single nucleotide polymorphisms (nsSNPs) that cause amino acid changes are believed to have a large impact on protein function. It is important to distinguish those deleterious nsSNPs that affect protein function from those that are functionally neutral. Ethanol causes organ toxicity with involvement of a number of genes encoding functional proteins. We have identified 1509 alcohol-responsive genes after a systemic search of previous human studies, with 580 being up-regulated and 847 down-regulated. The samples for gene expression analysis of ethanol exposure are from the brain, liver, and cultured human cells. These genes mainly encode proteins involved in nucleic acid binding, transcription, and signal transduction. These ethanol-responsive genes also correlated with other biological pathways, such as angiogenesis, integrin signalling pathway, and inflammation. The number of nsSNPs in the 1509 validated alcohol-responsive genes was 9207. Using the PolyPhen and SIFT algorithms, 41.5% nsSNPs were predicted to be deleterious. These findings provide some insights into the molecular targets of ethanol-induced toxicity and how genetic mutation would affect the toxicity phenotype. A better understanding of the relationship between genotype and phenotype of nsSNPs of ethanol-responsive genes will provide useful hints for further research on alcohol-induced toxicity and potential therapy. [Copyright &y& Elsevier]

• Nation-wide genomic analysis could detect seven different phases of SARS-CoV-2 pandemic in India. • Variant of concern and variant of interest were dominated only post-first wave in India. • More than 0.5 million mutational events could be detected across 20,086 high quality genomes. • Four major mutational events i.e., spike (D614G), NSP 12b (P314L), NSP3 F106F and 5′ UTR 241 occurring in more than 19,000 genomes. COVID-19 has posed unforeseen circumstances and throttled major economies worldwide. India has witnessed two waves affecting around 31 million people representing 16% of the cases globally. To date, the epidemic waves have not been comprehensively investigated to understand pandemic progress in India. Here, we aim for pan Indian cross-sectional evolutionary analysis since inception of SARS-CoV-2. High quality genomes, along with their collection date till 26th July 2021, were downloaded. Whole genome-based phylogeny was obtained. Further, the mutational analysis was performed using SARS-CoV-2 first reported from Wuhan (NC_045512.2) as reference. Based on reported cases and mutation rates, we could divide the Indian epidemic into seven phases. The average mutation rate for the pre-first wave was <11, which elevated to 17 in the first wave and doubled in the second wave (∼34). In accordance with mutation rate, VOCs and VOIs started appearing in the first wave (1.5%), which dominated the second (∼96%) and post-second wave (100%). Nation-wide mutational analysis depicted >0.5 million mutation events with four major mutations in >19,300 genomes, including two mutations in coding (spike (D614G), and NSP 12b (P314L) of rdrp), one silent mutation (NSP3 F106F) and one extragenic mutation (5′ UTR 241). Whole genome-based phylogeny could demarcate post-first wave isolates from previous ones by point of diversification leading to incidences of VOCs and VOIs in India. Such analysis is crucial in the timely management of pandemic. [ABSTRACT FROM AUTHOR]

Abstract: It has been postulated that the non-synonymous divergence (distance to the subtype consensus sequence) observed in several HIV-1 subtype populations during 1990s attained the maximum limit that is compatible with viral fitness or survival, at least in the V3 env gene domain. To test this hypothesis, 145 subtype B and 64 subtype F env V3 sequences isolated from Brazilian HIV-1 positive patients between 1989 and 2004 were analyzed. HIV-1 env V3 sequences were grouped by year of collection and the mean intra-subtype diversity and divergence were examined at synonymous, non-synonymous, and amino acid level. The analyses clearly show that the mean intra-subtype divergence constantly increases in both subtype populations in the last 15 years, and more importantly, this trend was not only driven by a significant increase of the synonymous distance but also by a significant increase of the non-synonymous and amino acid distances between Brazilian circulating viruses and subtype consensus sequences. These results clearly disagree with the notion that the non-synonymous distance to the HIV-1 subtype consensus observed at population level had already attained the maximum limit, and suggest that the likelihood for success of vaccines based on “central” immunogens, as those based on any other empirically selected viral sequence, could be continuously diminishing over time. [Copyright &y& Elsevier]

Abstract: Non-synonymous single nucleotide polymorphisms (nsSNPs) represent common genetic variation that alters encoded amino acids in proteins. All nsSNPs may potentially affect the structure or function of expressed proteins and could therefore have an impact on complex diseases. In an effort to evaluate the phenotypic effect of all known nsSNPs in human DNA repair genes, we have characterized each polymorphism in terms of different functional properties. The properties are computed based on amino acid characteristics (e.g. residue volume change); position-specific phylogenetic information from multiple sequence alignments and from prediction programs such as SIFT (Sorting Intolerant From Tolerant) and PolyPhen (Polymorphism Phenotyping). We provide a comprehensive, updated list of all validated nsSNPs from dbSNP (public database of human single nucleotide polymorphisms at National Center for Biotechnology Information, USA) located in human DNA repair genes. The list includes repair enzymes, genes associated with response to DNA damage as well as genes implicated with genetic instability or sensitivity to DNA damaging agents. Out of a total of 152 genes involved in DNA repair, 95 had validated nsSNPs in them. The fraction of nsSNPs that had high probability of being functionally significant was predicted to be 29.6% and 30.9%, by SIFT and PolyPhen respectively. The resulting list of annotated nsSNPs is available online (http://dna.uio.no/repairSNP), and is an ongoing project that will continue assessing the function of coding SNPs in human DNA repair genes. [Copyright &y& Elsevier]

Summary Discovery of non-synonymous single nucleotide polymorphisms (nsSNP), which cause amino acid substitutions, is important because they are more likely to alter protein function than synonymous SNPs (sSNP) or those SNPs that do not result in amino acid changes. By changing the coding sequences, nsSNP may play a role in heritable differences between individual organisms. In the chicken and many other vertebrates, the main obstacle for identifying nsSNP is that there is insufficient protein and mRNA sequence information for self-species referencing and thus, determination of the correct reading frame for expressed sequence tags (ESTs) is difficult. Therefore, in order to estimate the correct reading frame at nsSNP in chicken ESTs, a double-screening approach was designed using self- or cross-species protein referencing, in addition to the ESTScan coding region estimation programme. Starting with 23 427 chicken ESTs, 1210 potential SNPs were discovered using a phred/phrap/polyphred/consed pipeline process and among these, 108 candidate nsSNP were identified with the double screening method. A searchable SNP database (chicksnps) for the candidate chicken SNPs, including both nsSNPs and sSNPs is available at http://chicksnps.afs.udel.edu. The chicken SNP data described in this paper have been submitted to the data base SNP under National Center for Biotechnology Information assay ID ss4387050-ss4388259. [ABSTRACT FROM AUTHOR]

Nucleotide sequence of the structural protein-encoding region of foot-and-mouth disease virus (FMDV) A22-India 17/77 was determined using non-radioisotopic technique. Comparison of nucleotide and deduced amino acid sequence with A22-Iraq 24/64 revealed 175 synonymous (silent) and 42 non-synonymous nucleotide changes resulting in 34 amino acid substitutions along the capsid proteins (VP1–VP4). Out of the 4 structural proteins VP4 is highly conserved. The highly variable and immunodominant protein VP1 showed 47% of the total amino acid substitutions. VP2 and VP3 contain 38.2% and 14.7% of the amino acid substitutions, respectively. The VP1-based phylogenetic analysis of 18 different type A viruses including A22-India 17/77 divided them in to two broad genetic groups (Asian and European/South American), and each group is further subdivided in to two separate genotypes. A22-India 17/77, A22-Iraq 24/64 and A22-Azerbaijan/65 formed one genotype and the 4 Chinese strains formed a separate genotype in the Asian group of viruses. In the European/ South American group, A-Argentina/87 represents one genotype and the remaining 10 strains formed the second genotype in this group. [ABSTRACT FROM AUTHOR]

Adenosine-to-inosine (A-to-I) RNA editing leads to functional change of neurotransmitter receptor which is essential for neurotransmission and normal neuronal development. As a highly accessible part of central nervous system, retina has been extensively studied, however, it remains largely unknown how RNA editing regulates its development. Here, a genome-wide screening of high-confidence RNA editing events were performed to decipher the dynamic transcriptome regulation by RNA editing during mouse retinal development. 2000 high-confidence editing sites across eight developmental stages of retina were called. Three unique patterns (RNA-editing high pattern, RNA-editing medium pattern and RNA-editing low pattern) were identified by clustering these editing sites based on their editing level during retinal development. Editing events from RNA-editing high pattern were significantly associated with glutamate receptors and regulated synaptic transmission. Interestingly, most non-synonymous high-editing sites were mapped to ion channel genes of glutamatergic synapse which were associated with neurotransmission by controlling ion channel permeability and affecting exocytosis. Meanwhile, these non-synonymous editing sites were evolutionarily conserved and exhibited a consistently increasing editing levels between mouse and human retinal development. Single-cell RNA-seq data analysis revealed that RNA editing events prefer to occur in two main cell types including bipolar and amacrine cells. Genes with non-synonymous high-editing sites were enriched in both bipolar cells and retina ganglion cells, which may mediate retina ganglion cell differentiation by altering channel ion permeability. Together, our results provide novel insights into mechanism of post-transcriptional regulation during retinal development and help to develop novel RNA editing-guided therapeutic strategies for retinal disorders., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors.)

Glycoprotein M6A, a stress related gene, plays an important role in synapse and filopodia formation. Filopodia formation is vital for development, immunity, angiogenesis, wound healing and metastasis. In this study, structural and functional analysis of high-risk SNPs associated with Glycoprotein M6-A were evaluated using six different bioinformatics tools. Results classified T210I, T134I, Y153H, I215T, F156L, T160I, I226T, R247W, R178C, W159R, N157S and P151L as deleterious mutants that are crucial for the structure and function of the protein causing malfunction of M6-a and ultimately leads to disease development. The three-dimensional structure of wild-type M6-a and mutant M6-a were also predicted. Furthermore, the effects of high risk substitutions were also analyzed with interaction with valproic acid. Based on structural models obtained, the binding pocket of ligand bound glycoprotein M6-A structure showed few core interacting residues which are different in the mutant models. Among all substitutions, F156L showed complete loss of binding pocket when interacting with valproic acid as compared to the wild type model. Up to the best of our knowledge this is the first comprehensive study where GPM6A mutations were analyzed. The mechanism of action of GPM6A is still not fully defined which limits the understanding of functional details encoding M6-A. Our results may help enlighten some molecular aspects underlying glycoprotein M6-A. Communicated by Ramaswamy H. Sarma.

Characterizing how variation at the level of individual nucleotides contributes to traits and diseases has been an area of growing interest since the completion of sequencing the first human genome. Our understanding of how a single nucleotide polymorphism (SNP) leads to a pathogenic phenotype on a genome-wide scale is a fruitful endeavor for anyone interested in developing diagnostic tests, therapeutics, or simply wanting to understand the etiology of a disease or trait. To this end, many datasets and algorithms have been developed as resources/tools to annotate SNPs. One of the most common practices is to annotate coding SNPs that affect the protein sequence. Synonymous variants are often grouped as one type of variant, however there are in fact many tools available to dissect their effects on gene expression. More recently, large consortiums like ENCODE and GTEx have made it possible to annotate non-coding regions. Although annotating variants is a common technique among human geneticists, the constant advances in tools and biology surrounding SNPs requires an updated summary of what is known and the trajectory of the field. This review will discuss the history behind SNP annotation, commonly used tools, and newer strategies for SNP annotation. Additionally, we will comment on the caveats that distinguish approaches from one another, along with gaps in the current state of knowledge, and potential future directions. We do not intend for this to be a comprehensive review for any specific area of SNP annotation, but rather it will be an excellent resource for those unfamiliar with computational tools used to functionally characterize SNPs. In summary, this review will help illustrate how each SNP annotation method impacts the way in which the genetic and molecular etiology of a disease is explored in-silico. [ABSTRACT FROM AUTHOR]

Background/aim: Up-regulation of metallo-proteinase (MMP) proteins has been shown in various types of solid cancers and the genotype of MMP1 has been associated with the risk of solid cancers. The contribution of MMP1 genotype to lung cancer has been investigated in various countries, though, to our knowledge, not in Taiwan. Therefore, in this study, we focused on the contribution of a polymorphism in the promoter region of MMP1 to lung cancer risk in Taiwan population., Patients and Methods: Genomic DNA was isolated from peripheral blood of 358 patients with lung cancer and 716 healthy individuals (non-cancer patients). MMP1 rs1799750 polymorphic genotypes of each sample were determined using the typical methodology of polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP)., Results: The percentages of 2G/2G, 1G/2G, and 1G/1G for MMP1 -1607 genotypes were 34.4%, 41.3% and 24.3% in the disease group and 33.9%, 44.0%, and 22.1% in the control group (p trend=0.6298), respectively. The results of carrier comparisons in dominant and recessive models also support the findings that 1G or 2G appears not to be a determinant allelic biomarker for Taiwan lung cancer., Conclusion: The MMP1 -1607 1G allele is a non-significant protective biomarker for lung cancer in Taiwan., (Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Selective sweep can cause genetic differentiation across populations, which allows for the identification of possible causative regions/genes underlying important traits. The pig has experienced a long history of allele frequency changes through artificial selection in the domestication process. We obtained an average of 329,482,871 sequence reads for 24 pigs from three pig breeds: Yorkshire (n = 5), Landrace (n = 13), and Duroc (n = 6). An average read depth of 11.7 was obtained using whole-genome resequencing on an Illumina HiSeq2000 platform. In this study, cross-population extended haplotype homozygosity and cross-population composite likelihood ratio tests were implemented to detect genes experiencing positive selection for the genome-wide resequencing data generated from three commercial pig breeds. In our results, 26, 7, and 14 genes from Yorkshire, Landrace, and Duroc, respectively were detected by two kinds of statistical tests. Significant evidence for positive selection was identified on genes ST6GALNAC2 and EPHX1 in Yorkshire, PARK2 in Landrace, and BMP6, SLA-DQA1, and PRKG1 in Duroc.These genes are reportedly relevant to lactation, reproduction, meat quality, and growth traits. To understand how these single nucleotide polymorphisms (SNPs) related positive selection affect protein function, we analyzed the effect of non-synonymous SNPs. Three SNPs (rs324509622, rs80931851, and rs80937718) in the SLA-DQA1 gene were significant in the enrichment tests, indicating strong evidence for positive selection in Duroc. Our analyses identified genes under positive selection for lactation, reproduction, and meat-quality and growth traits in Yorkshire, Landrace, and Duroc, respectively.

The aim of our study was to analyze the consequences of non-synonymous SNPs in Slc11a2 gene using bioinformatic tools. There is a current need of efficient bioinformatic tools for in-depth analysis of data generated by the next generation sequencing technologies. SNPs are known to play an imperative role in understanding the genetic basis of many genetic diseases. Slc11a2 is one of the major metal transporter families in mammals and plays a critical role in host defenses. In this study, we performed a comprehensive analysis of the impact of all non-synonymous SNPs in this gene using multiple tools like SIFT, PROVEAN, I-Mutant and PANTHER. Among the total 124 SNPs obtained from amplicon sequencing of Slc11a2 gene by Ion Torrent PGM involving 10 individuals of Gir cattle and Murrah buffalo each, we found 22 non-synonymous. Comparing the prediction of these 4 methods, 5 nsSNPs (G369R, Y374C, A377V, Q385H and N492S) were identified as deleterious. In addition, while tested out for polar interactions with other amino acids in the protein, from above 5, Y374C, Q385H and N492S showed a change in interaction pattern and further confirmed by an increase in total energy after energy minimizations in case of mutant protein compared to the native.

P bodies are 100-300 nm sized organelles involved in mRNA silencing and degradation. A total of 60 human proteins have been reported to localize to P bodies. Several human SNPs contribute to complex diseases by altering the structure and function of the proteins. Also, SNPs alter various transcription factors binding, splicing and miRNA regulatory sites. Owing to the essential functions of P bodies in mRNA regulation, we explored computationally the functional significance of SNPs in 7 P body components such as XRN1, DCP2, EDC3, CPEB1, GEMIN5, STAU1 and TRIM71. Computational analyses of non-synonymous SNPs of these components was initiated using well utilized publicly available software programs such as the SIFT, followed by PolyPhen, PANTHER, MutPred, I-Mutant-2.0 and PhosSNP 1.0. Functional significance of noncoding SNPs in the regulatory regions were analysed using FastSNP. Utilizing miRSNP database, we explored the role of SNPs in the context that alters the miRNA binding sites in the above mentioned genes. Our in silico studies have identified various deleterious SNPs and this cataloguing is essential and gives first hand information for further analysis by in vitro and in vivo methods for a better understanding of maintenance, assembly and functional aspects of P bodies in both health and disease., (© 2013 Elsevier B.V. All rights reserved.)

Phaeochromocytomas (PCCs) and paragangliomas (PGLs) are rare, catecholamine-producing tumors. Most familial PCC/PGLs have been detected to be autosomal dominantly inherited. However, this study was undertaken in a family with PCCs to determine candidate genes in a dominant or recessive inheritance pattern. After excluding mutations in ten PCC/PGL susceptibility genes by Sanger sequencing, we used whole exome sequencing for screening on the four family members to discover novel candidate genes associated with PCCs. Based on the inexistence of non-synonymous mutations or indels in the ten known genes and the structure of this pedigree, 3 damaging loci with dominant inheritance pattern, and 5 damaging loci with recessive homozygous inheritance pattern and 6 damaging genes with compound heterozygous inheritance pattern were narrowed down to indicate the association with PCCs. According to the Gene Ontology (GO) category analysis on the combined results, cell adhesion showed the most significant enrichment., (Copyright © 2013 Elsevier B.V. All rights reserved.)