Predicting the effects of the single nucleotide polymorphism A122V on CXC chemokine receptor type 1 of Bos taurus (Artiodactyla: Bovidae) cattle by in silico analyses

Authors

  • Anete Ferraz Guzzi Universidade Federal do Vale do São Francisco UNIVASF
  • Felipe Santos de Luna Oliveira Universidade Federal do Vale do São Francisco UNIVASF
  • Márcia Maria de Souza Amaro Universidade Federal do Vale do São Francisco UNIVASF
  • Paulo Fernando Tavares Filho Universidade Federal do Vale do São Francisco UNIVASF
  • Jane Eyre Gabriel Universidade Federal do Vale do São Francisco UNIVASF

DOI:

https://doi.org/10.5007/2175-7925.2017v30n4p1

Abstract

This study aimed to perform in silico analyses of the primary and secondary structures of the bovine chemokine receptor CXCR1, the non-polymorphic and A122V-harboring polymorphic proteins to predict differences. Two sequences of the CXCR1 protein of Bos taurus cattle were selected from the non-redundant protein sequence database UniProtKB/Swiss-Prot: a) a non-polymorphic sequence (A7KWG0), with alanine (A) at position 122, and b) a sequence harboring the causal polymorphism A122V with substitution by valine (V) at the same position. Protein primary and secondary structures were analyzed using the ProtParam program and Chou & Fasman Protein Secondary Structure Prediction CFSSP algorithm. No differences in physical or chemical parameters were predicted from the primary structure of the two bovine protein sequences. The presence of a helix domain situated between positions 100 and 150 was only found in the non-polymorphic CXCR1 protein. Amino acid residues with different biochemical features were detected at position 122 in the ruminant and human CXCR1 protein sequences, suggesting that this peptide seems to be highly polymorphic in vertebrates. Findings described herein predict differences in the secondary structure pattern of non-polymorphic and polymorphic A122V-harboring CXCR1 proteins using bioinformatics tools.

 

Author Biographies

Anete Ferraz Guzzi, Universidade Federal do Vale do São Francisco UNIVASF

Colegiado de Pós-Graduação em Ciências Veterinárias no Semiárido, Campus de Ciências Agrárias, Universidade Federal do Vale do São Francisco, CEP 56.300-000, Petrolina – PE, Brasil

Felipe Santos de Luna Oliveira, Universidade Federal do Vale do São Francisco UNIVASF

Colegiado Acadêmico de Ciências Biológicas, Campus de Ciências Agrárias, Universidade Federal do Vale do São Francisco, CEP 56.300-000, Petrolina – PE, Brasil

Márcia Maria de Souza Amaro, Universidade Federal do Vale do São Francisco UNIVASF

Colegiado Acadêmico de Ciências Biológicas, Campus de Ciências Agrárias, Universidade Federal do Vale do São Francisco, CEP 56.300-000, Petrolina – PE, Brasil

Paulo Fernando Tavares Filho, Universidade Federal do Vale do São Francisco UNIVASF

Colegiado Acadêmico de Engenharia da Computação, Campus de Juazeiro, Universidade Federal do Vale do São Francisco, CEP 48902-300, Juazeiro – BA, Brasil

Jane Eyre Gabriel, Universidade Federal do Vale do São Francisco UNIVASF

Graduação em Ciências Biológicas pelo Instituto de Biociências, Letras e Ciências Exatas (1989), mestrado em Zootecnia pela Universidade Estadual Paulista Júlio de Mesquita Filho (1996) e doutorado em Ciências (Energia Nuclear na Agricultura) pela Universidade de São Paulo (2001). Atualmente, atua como Professora Adjunta III da Universidade Federal do Vale do São Francisco UNIVASF (Centro de Ciências Agrárias, Petrolina, PE). Tem experiência na área de Biologia Molecular Animal, Bioinformática, atuando principalmente nos seguintes temas: expressão gênica animal, genômica e proteômica, histologia geral.

 

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Published

2017-12-08

Issue

Vol. 30 No. 4 (2017)

Section

Artigos

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