Alternative PCR primers for genotyping of Brazilian WSSV isolates.

White spot syndrome virus (WSSV) is one of the major challenges faced by global shrimp farming in recent decades. The characterization of WSSV genetic variability has been used to determine viral dispersion and is a promising method to determine the association between genotype and virulence. The major variable regions that have been used as markers to differentiate the WSSV genomes include the VNTR loci inside ORF94, ORF75, ORF125, and insertions/deletions interspersing ORF14/15 and ORF23/24. The primers used to amplify these regions were described at least 10 years ago, but some of them do not work efficiently to identify new WSSV variants. The objective of this work was to develop improved PCR primers for WSSV genotyping based on sequence alignments that include new sequences described in recent years. We validated these new primers in a pilot study to verify the genetic variability of the WSSV in Rio Grande do Norte state (northeast Brazil), and efficiency was compared to that of other previously described primers. We confirmed that the primers we developed were more efficient for genotype Brazilian WSSV isolates, enabling us to genotype a larger number of samples. In addition, our results also introduce new data about the genetic characterization of the WSSV isolates that occur in the northeastern region of Brazil.

In silico single strand melting curve: a new approach to identify nucleic acid polymorphisms in Totiviridae.

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. CONCLUSION: 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.