Comparative sequencing data analysis of Ion Torrent and MinION sequencing platforms using a clinical diagnostic haematology panel

A method for determining the origin of crude drugs derived from animals using MinION, a compact next-generation sequencer

We evaluated whether MinION, an inexpensive portable sequencer, can be used to identify the origin of crude drugs derived from animals. Standard and nonstandard crude drugs with different species of origin were examined. In addition, standards mixed with nonstandard samples were used. As a target gene, cytochrome c oxidase I was amplified and sequenced. The fast mode results had a slightly lower match ratio than high-accuracy mode, but the animals of origin were correctly determined by BLAST for all samples. For antler velvet derived from Rangifer tarandus, even when the sequences were aligned based on Cervus elaphus, the animal of origin was determined correctly. Minor contents could be detected from mixtures of two animals, if the mixtures contained at least 19:1 mtDNA when the coverage allele-fraction threshold was 0.05. By contrast, in fast mode, two sequences could not be separated due to the low accuracy of the base-calling for each read. For fieldwork, the species of origin of crude drugs could be identified with only simple DNA extraction and library preparation. Therefore, MinION appears to be a convenient tool for identifying the origins of crude drugs derived from animals.

Estimating individual mtDNA haplotypes in mixed DNA samples by combining MinION and MiSeq

We tried to estimate individual mtDNA haplotypes in mixed DNA samples by combining MinION and MiSeq. The BAM files produced by MiSeq were viewed using Integrative Genomics Viewer (IGV) to verify mixed bases. By sorting the reads according to base type for each mixed base, partial haplotypes were determined. Then, the BAM files produced by MinKNOW were viewed using IGV. To determine haplotypes with IGV, only mixed bases determined by MiSeq were used as target bases. By sorting the reads according to base type for each target base, each contributor's haplotype was estimated. In mixed samples from two contributors, even a haplotype with a minor contribution of 5% could be distinguished from the haplotype of the major contributor. In mixed samples of three contributors (mixture ratios of 1:1:1 and 4:2:1), each haplotype could also be distinguished. Sequences of C-stretches were determined very inaccurately in the MinION analysis. Although the analysis method was simple, each haplotype was correctly detected in all mixed samples with two or three contributors in various mixture ratios by combining MinION and MiSeq. This should be useful for identifying contributors to mixed samples.

NanoHIV: A Bioinformatics Pipeline for Producing Accurate, Near Full-Length HIV Proviral Genomes Sequenced Using the Oxford Nanopore Technology

HIV-1 proviral single-genome sequencing by limiting-dilution polymerase chain reaction (PCR) amplification is important for differentiating the sequence-intact from defective proviruses that persist during antiretroviral therapy (ART). Intact proviruses may rebound if ART is interrupted and are the barrier to an HIV cure. Oxford Nanopore Technologies (ONT) sequencing offers a promising, cost-effective approach to the sequencing of long amplicons such as near full-length HIV-1 proviruses, but the high diversity of HIV-1 and the ONT sequencing error render analysis of the generated data difficult. NanoHIV is a new tool that uses an iterative consensus generation approach to construct accurate, near full-length HIV-1 proviral single-genome sequences from ONT data. To validate the approach, single-genome sequences generated using NanoHIV consensus building were compared to Illumina^® consensus building of the same nine single-genome near full-length amplicons and an average agreement of 99.4% was found between the two sequencing approaches.