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Aim To determine the capacity of next-generation sequencing (NGS) for quantifying edited and unedited HDV populations, and to confirm if edition is a general phenomenon taking place along the entire HDV region analyzed, as we previously reported (Homs M et al. PLoS One 2016, 11, e0158557). Methods Four serum samples from 4 patients with chronic HDV/HBV infection were included in the study. The region selected for analysis covered 360 nucleotides (nt), positions 910–1270 of the HDV genome, which included the HDAg ORF editing site (nt 1014 within codon 196). Quantification of edited and unedited genomes was performed by molecular cloning and Sanger sequencing and by NGS. To evaluate the reliability of the NGS values obtained, we combined a clone with an edited codon and one with an unedited codon in known percentages in a series of artificial mixtures, which were then analyzed by NGS. In addition, we determined the nt changes occurring over the complete amplified region after excluding the editing codon (196) to evaluate edition along it. Results In total, 11,208 quality-filtered sequences were obtained in the 4 samples. The 95% confidence intervals for the proportions of unedited populations by molecular cloning and NGS were overlapping, and those of cloning were wider, indicating that they are comparable and that NGS is more precise than cloning. Unedited genomes predominated over edited ones in all 4 samples analyzed by NGS and in 3 of the 4 samples analyzed by molecular cloning. In total, 83,276 quality-filtered sequences were obtained from the artificial mixtures. Percentages of the two viral populations detected by NGS in these mixtures were comparable to the expected percentages. Evaluation of edition along the HDV coding region showed that transitions were more frequent than transversions, accounting for 63.09% and 36.91%, respectively. Interestingly, among the 4 possible transition-type changes, G:A and A:G accounted for 73.86% of the total. Conclusion Next-generation sequencing proved useful to quantify edited and unedited HDV genomes, and provided relevant information on the HDV quasispecies.

The hepatitis viruses represent a major public health problem worldwide. Procedures for characterization of the genomic composition of their populations, accurate diagnosis, identification of multiple infections, and information on inhibitor-escape mutants for treatment decisions are needed. Deep sequencing methodologies are extremely useful for these viruses since they replicate as complex and dynamic quasispecies swarms whose complexity and mutant composition are biologically relevant traits. Population complexity is a major challenge for disease prevention and control, but also an opportunity to distinguish among related but phenotypically distinct variants that might anticipate disease progression and treatment outcome. Detailed characterization of mutant spectra should permit choosing better treatment options, given the increasing number of new antiviral inhibitors available. In the present review we briefly summarize our experience on the use of deep sequencing for the management of hepatitis virus infections, particularly for hepatitis B and C viruses, and outline some possible new applications of deep sequencing for these important human pathogens.

Crops of sugar beet have been considerably impaired by infection with Beet curly top virus (BCTV) during the past decades. Quick and reliable diagnostic techniques are therefore desirable to detect this circular single-stranded DNA-containing geminivirus. Techniques combining either tissue printing or blot hybridization, or rolling circle amplification (RCA) and restriction fragment length polymorphism (RFLP) were compared. Although they easily detected BCTV with certainty, both exhibited apparent false positive results which have been scrutinized in closer detail. Uninfected control plants revealed unspecific signals due to probe attachment on tissue blots, and dominant fragment patterns upon RCA/RFLP which did not hybridize with BCTV-specific probes. Cloning and sequencing of these DNA fragments showed that they were amplified from mitochondrial plasmids. Examination of their genome structure revealed no relationship with geminiviruses or their satellites.