In Silico Analysis of Non Synonymous Single Nucleotide Polymorphisms (nsSNPs) of SMPX Gene in Hearing Impairment

Background Mutations in SMPX gene can disrupt the normal activity of the SMPX protein which is involved in hearing process. Objective In this study, deleterious non-synonymous single nucleotide polymorphisms were isolated from the neutral variants by using several bioinformatics tools. Method Firstly, dbSNP database hosted by NCBI was used to retrieve the SNPs of SMPX gene, secondly, SIFT was used primarily to screen the damaging SNPs. Further, for validation PROVEAN, PredictSNP and PolyPhen 2 were used. I-Mutant 3 was utilized to analyze the protein stability change and MutPred predicted the molecular mechanism of protein stability change. Finally evolutionary conservation was done to study their conservancy by using ConSurf server. Results A total of 26 missense (0.6517%) and 3 nonsense variants (0.075%) were retrieved and among them 4 mutations were found deleterious by all the tools of this experiment and are also highly conserved according to ConSurf server. rs772775896, rs759552778, rs200892029 and rs1016314772 are the reference IDs of deleterious mutations where the substitutions are S71L, N19D, A29T and K54N. Loss of Ubiquitination, loss of methylation, loss of glycosylation, and loss of MoRF binding motifs are the root causes of protein stability change. Conclusion This is the first study regarding nsSNPs of SMPX gene where the most damaging SNPs were screened that are associated with the SMPX gene and can be used for further research to study their effect on protein structure and function, their dynamic behavior and how they actually affect protein’s flexibility.

[1]  W. Reardon,et al.  A multipedigree linkage study of X-linked deafness: linkage to Xq13-q21 and evidence for genetic heterogeneity. , 1991, Genomics.

[2]  M. Pembrey,et al.  Mapping of DFN2 to Xq22. , 1996, Human molecular genetics.

[3]  Michael Krawczak,et al.  The human gene mutation database , 1998, Nucleic Acids Res..

[4]  S. Sunyaev,et al.  PSIC: profile extraction from sequence alignments with position-specific counts of independent observations. , 1999, Protein engineering.

[5]  Identification, mapping, and genomic structure of a novel X-chromosomal human gene (SMPX) encoding a small muscular protein , 1999 .

[6]  Rolf Apweiler,et al.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000 , 2000, Nucleic Acids Res..

[7]  U. Müller,et al.  Stereocilia defects in the sensory hair cells of the inner ear in mice deficient in integrin α8β1 , 2000, Nature Genetics.

[8]  S. Henikoff,et al.  Predicting deleterious amino acid substitutions. , 2001, Genome research.

[9]  Elizabeth M. Smigielski,et al.  dbSNP: the NCBI database of genetic variation , 2001, Nucleic Acids Res..

[10]  M. Nachman,et al.  Single nucleotide polymorphisms and recombination rate in humans. , 2001, Trends in genetics : TIG.

[11]  N. Copeland,et al.  The Small Muscle-Specific Protein Csl Modifies Cell Shape and Promotes Myocyte Fusion in an Insulin-like Growth Factor 1–Dependent Manner , 2001, The Journal of cell biology.

[12]  P. Bork,et al.  Human non-synonymous SNPs: server and survey. , 2002, Nucleic acids research.

[13]  Gregory D. Schuler,et al.  Database resources of the National Center for Biotechnology Information: 2002 update , 2002, Nucleic Acids Res..

[14]  S. Henikoff,et al.  Accounting for human polymorphisms predicted to affect protein function. , 2002, Genome research.

[15]  Steven Henikoff,et al.  SIFT: predicting amino acid changes that affect protein function , 2003, Nucleic Acids Res..

[16]  D. Botstein,et al.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease , 2003, Nature Genetics.

[17]  P. Stenson,et al.  Human Gene Mutation Database (HGMD®): 2003 update , 2003, Human mutation.

[18]  M. Campbell,et al.  PANTHER: a library of protein families and subfamilies indexed by function. , 2003, Genome research.

[19]  Gregory D. Schuler,et al.  Database resources of the National Center for Biotechnology Information: update , 2004, Nucleic acids research.

[20]  N. Ben-Tal,et al.  Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior. , 2004, Molecular biology and evolution.

[21]  Piero Fariselli,et al.  Predicting protein stability changes from sequences using support vector machines , 2005, ECCB/JBI.

[22]  A. Sidow,et al.  Physicochemical constraint violation by missense substitutions mediates impairment of protein function and disease severity. , 2005, Genome research.

[23]  Mi Zhou,et al.  nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms , 2005, Nucleic Acids Res..

[24]  Emidio Capriotti,et al.  Bioinformatics Original Paper Predicting the Insurgence of Human Genetic Diseases Associated to Single Point Protein Mutations with Support Vector Machines and Evolutionary Information , 2022 .

[25]  I. Varela-Nieto,et al.  Sensorineural hearing loss in insulin‐like growth factor I‐null mice: a new model of human deafness , 2006, The European journal of neuroscience.

[26]  S. Henikoff,et al.  Predicting the effects of amino acid substitutions on protein function. , 2006, Annual review of genomics and human genetics.

[27]  Nan Guo,et al.  PANTHER version 6: protein sequence and function evolution data with expanded representation of biological pathways , 2006, Nucleic Acids Res..

[28]  B. Rost,et al.  SNAP: predict effect of non-synonymous polymorphisms on function , 2007, Nucleic acids research.

[29]  P. Willems,et al.  Sex‐linked deafness , 2007, Clinical genetics.

[30]  Justin C. Fay,et al.  A Catalog of Neutral and Deleterious Polymorphism in Yeast , 2008, PLoS genetics.

[31]  P. Stenson,et al.  The Human Gene Mutation Database: 2008 update , 2009, Genome Medicine.

[32]  Xiaowei Lu,et al.  The Small GTPase Rac1 Regulates Auditory Hair Cell Morphogenesis , 2009, The Journal of Neuroscience.

[33]  Predrag Radivojac,et al.  Automated inference of molecular mechanisms of disease from amino acid substitutions , 2009, Bioinform..

[34]  S. Henikoff,et al.  Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm , 2009, Nature Protocols.

[35]  P. Bork,et al.  A method and server for predicting damaging missense mutations , 2010, Nature Methods.

[36]  Tal Pupko,et al.  ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids , 2010, Nucleic Acids Res..

[37]  V. Vacic,et al.  Identification, analysis, and prediction of protein ubiquitination sites , 2010, Proteins.

[38]  A. Dror,et al.  Hearing Impairment: A Panoply of Genes and Functions , 2010, Neuron.

[39]  F. Wagner,et al.  Nonsense mutations in SMPX, encoding a protein responsive to physical force, result in X-chromosomal hearing loss. , 2011, American journal of human genetics.

[40]  S. Haas,et al.  Next-generation sequencing identifies mutations of SMPX, which encodes the small muscle protein, X-linked, as a cause of progressive hearing impairment. , 2011, American journal of human genetics.

[41]  H. Kremer,et al.  Variable degrees of hearing impairment in a Dutch DFNX4 (DFN6) family , 2011, Hearing Research.

[42]  J. Miller,et al.  Predicting the Functional Effect of Amino Acid Substitutions and Indels , 2012, PloS one.

[43]  C. George Priya Doss,et al.  Computational Refinement of Functional Single Nucleotide Polymorphisms Associated with ATM Gene , 2012, PloS one.

[44]  C. Doss,et al.  Screening of mutations affecting protein stability and dynamics of FGFR1—A simulation analysis , 2012, Applied & translational genomics.

[45]  Yongwook Choi,et al.  A fast computation of pairwise sequence alignment scores between a protein and a set of single-locus variants of another protein , 2012, BCB.

[46]  I. Adzhubei,et al.  Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2 , 2013, Current protocols in human genetics.

[47]  Nevena Veljkovic,et al.  Feature-Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains , 2013, TheScientificWorldJournal.

[48]  T. Stockley,et al.  A Novel Deletion in SMPX Causes a Rare form of X‐Linked Progressive Hearing Loss in Two Families Due to a Founder Effect , 2013, Human mutation.

[49]  Itay Mayrose,et al.  ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function , 2013 .

[50]  Minyue Jia,et al.  Computational Analysis of Functional Single Nucleotide Polymorphisms Associated with the CYP11B2 Gene , 2014, PloS one.

[51]  R. Martín-Hernández,et al.  A Comprehensive In Silico Analysis of the Functional and Structural Impact of Nonsynonymous SNPs in the ABCA1 Transporter Gene , 2014, Cholesterol.

[52]  Jaroslav Bendl,et al.  PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations , 2014, PLoS Comput. Biol..

[53]  A. M. Goswami Structural modeling and in silico analysis of non-synonymous single nucleotide polymorphisms of human 3β-hydroxysteroid dehydrogenase type 2 , 2015, Meta gene.

[54]  Yongwook Choi,et al.  PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels , 2015, Bioinform..

[55]  X. Liu,et al.  A novel frameshift mutation of SMPX causes a rare form of X-linked nonsyndromic hearing loss in a Chinese family , 2017, PloS one.