Author/Authors :
Nailwal, Mili Department of Genetics - Ashok & Rita Patel Institute of Integrated Study & Research in Biotechnology and Allied Sciences (ARIBAS), Gujarat, India , Chauhan, Jenabhai Bhathibhai Department of Genetics - Ashok & Rita Patel Institute of Integrated Study & Research in Biotechnology and Allied Sciences (ARIBAS), Gujarat, India
Abstract :
Background: The human Ubiquitously transcribed tetratricopeptide repeat gene, Ylinked
(UTY) gene encodes histone demethylase involved in protein-protein interactions.
UTY protein evidence at protein level predicted intracellular and secreted protein.
UTY is also involved in spermatogenesis process.
Methods: The high-risk non-synonymous single nucleotide polymorphism in the
coding region of the UTY gene was screened by SNP database and identified missense
variants were subjected to computational analysis to understand the effect on
protein function, stability and structure by SIFT, PolyPhen 2, PANTHER, PROVEAN,
I-Mutant 2, iPTREE-STAB, ConSurf, ModPred, SPARKS-X, QMEAN, PROCHECK,
project HOPE and STRING.
Results: A total of 151 nsSNPs variants were retrieved in UTY gene out of which
one missense variant (E18D) was predicted to be damaging or deleterious using
SIFT, PolyPhen 2, PANTHER and PROVEAN. Additionally, E18D variant showed
less stability, high conservation and having role in post translation modification using
i-Mutant 2 and iPTREE-STAB, ConSurf and ModPred, respectively. The predicted
3D model of UTY using SPARKS-X with z-score of 15.16 was generated and
validated via QMEAN (Z-score of 0.472) and PROCHECK which plots Ramachandran
plot (85.3% residues in most favored regions, 12.3% in additionally allowed
regions, 2.0% in generously allowed regions and 4.0% were in disallowed regions)
and it indicates a good quality model. STRING showed that UTY interacts with ten
different proteins.
Conclusion: This study revealed that SNP data available on database was deduced
to find out the most damaging nsSNPs i.e. rs3212293 (E18D). Therefore, it provides
useful information about functional SNPs for future prospects concerning infertility in men.
Keywords :
AZFa , Computational analysis , Male infertility , Missense , nsSNP , UTY gene