title: In silico single strand melting curve: a new approach to identify nucleic acid polymorphisms in Totiviridae.
abstract: BACKGROUND
  The PCR technique and its variations have been increasingly used in the clinical laboratory and recent advances in this field generated new higher resolution techniques based on nucleic acid denaturation dynamics. The principle of these new molecular tools is based on the comparison of melting profiles, after denaturation of a DNA double strand. Until now, the secondary structure of single-stranded nucleic acids has not been exploited to develop identification systems based on PCR. To test the potential of single-strand RNA denaturation as a new alternative to detect specific nucleic acid variations, sequences from viruses of the Totiviridae family were compared using a new in silico melting curve approach. This family comprises double-stranded RNA virus, with a genome constituted by two ORFs, ORF1 and ORF2, which encodes the capsid/RNA binding proteins and an RNA-dependent RNA polymerase (RdRp), respectively.
  
  
  RESULTS
  A phylogenetic tree based on RdRp amino acid sequences was constructed, and eight monophyletic groups were defined. Alignments of RdRp RNA sequences from each group were screened to identify RNA regions with conserved secondary structure. One region in the second half of ORF2 was identified and individually modeled using the RNAfold tool. Afterwards, each DNA or RNA sequence was denatured in silico using the softwares MELTSIM and RNAheat that generate melting curves considering the denaturation of a double stranded DNA and single stranded RNA, respectively. The same groups identified in the RdRp phylogenetic tree were retrieved by a clustering analysis of the melting curves data obtained from RNAheat. Moreover, the same approach was used to successfully discriminate different variants of Trichomonas vaginalis virus, which was not possible by the visual comparison of the double stranded melting curves generated by MELTSIM.
  
  
  CONCLUSIONS
  In silico analysis indicate that ssRNA melting curves are more informative than dsDNA melting curves. Furthermore, conserved RNA structures may be determined from analysis of individuals that are phylogenetically related, and these regions may be used to support the reconstitution of their phylogenetic groups. These findings are a robust basis for the development of in vitro systems to ssRNA melting curves detection.
authors.forename: Raffael A C
authors.initials: RA
authors.lastname: Oliveira
authors.forename: Ricardo V M
authors.initials: RV
authors.lastname: Almeida
authors.forename: Márcia D A
authors.initials: MD
authors.lastname: Dantas
authors.forename: Felipe N
authors.initials: FN
authors.lastname: Castro
authors.forename: João Paulo M S
authors.initials: JP
authors.lastname: Lima
authors.affiliation: Laboratório de Biologia Molecular Aplicada - LAPLIC, Departamento de Bioquímica, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Natal, RN CEP: 59072-970, Brazil. danielclanza@gmail.com.
authors.forename: Daniel C F
authors.initials: DC
authors.lastname: Lanza
mesh_terms: D000595:Amino Acid Sequence; D036022:Capsid Proteins / Q000378:metabolism; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D004279:DNA, Viral / Q000737:chemistry / Q000235:genetics; D009691:Nucleic Acid Denaturation; D016366:Open Reading Frames / Q000235:genetics; D010802:Phylogeny; D011110:Polymorphism, Genetic; D012330:RNA, Double-Stranded / Q000737:chemistry* / Q000235:genetics; D012367:RNA, Viral / Q000737:chemistry* / Q000235:genetics; D012324:RNA-Dependent RNA Polymerase / Q000737:chemistry / Q000378:metabolism; D017422:Sequence Analysis, DNA; D012984:Software; D019196:Totiviridae / Q000145:classification / Q000235:genetics*; D044366:Transition Temperature
chemical_list: D036022:Capsid Proteins; D004279:DNA, Viral; D012330:RNA, Double-Stranded; D012367:RNA, Viral; D012324:RNA-Dependent RNA Polymerase