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Assessing de novo parasite genomes assembled using only Oxford Nanopore Technologies MinION data.

ABSTRACT: In this study, we assessed the quality of de novo genome assemblies for three species of parasitic nematodes (Brugia malayi, Trichuris trichiura, and Ancylostoma caninum) generated using only Oxford Nanopore Technologies MinION data. Assemblies were compared to current reference genomes and against additional assemblies that were supplemented with short-read Illumina data through polishing or hybrid assembly approaches. For each species, assemblies generated using only MinION data had similar or superior measures of contiguity, completeness, and gene content. In terms of gene composition, depending on the species, between 88.9 and 97.6% of complete coding sequences predicted in MinION data only assemblies were identical to those predicted in assemblies polished with Illumina data. Polishing MinION data only assemblies with Illumina data therefore improved gene-level accuracy to a degree. Furthermore, modified DNA extraction and library preparation protocols produced sufficient genomic DNA from B. malayi and T. trichiura to generate de novo assemblies from individual specimens.

SUBMITTER: Herzog KS

PROVIDER: S-EPMC11357801 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature

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Assessing de novo parasite genomes assembled using only Oxford Nanopore Technologies MinION data.

Herzog Kaylee S KS Wu Rachel R Hawdon John M JM Nejsum Peter P Fauver Joseph R JR

iScience 20240730 9

In this study, we assessed the quality of de novo genome assemblies for three species of parasitic nematodes (Brugia malayi, Trichuris trichiura, and Ancylostoma caninum) generated using only Oxford Nanopore Technologies MinION data. Assemblies were compared to current reference genomes and against additional assemblies that were supplemented with short-read Illumina data through polishing or hybrid assembly approaches. For each species, assemblies generated using onl ...[more]

PMID: 39211578

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Project description:BackgroundSequence verification is essential for plasmids used as critical reagents or therapeutic products. Typically, high-quality plasmid sequence is achieved through capillary-based Sanger sequencing, requiring customized sets of primers for each plasmid. This process can become expensive, particularly for applications where the validated sequence needs to be produced within a regulated and quality-controlled environment for downstream clinical research applications.ResultsHere, we describe a cost-effective and accurate plasmid sequencing and consensus generation procedure using the Oxford Nanopore Technologies' MinION device as an alternative to capillary-based plasmid sequencing options. This procedure can verify the identity of a pure population of plasmid, either confirming it matches the known and expected sequence, or identifying mutations present in the plasmid if any exist. We use a full MinION flow cell per plasmid, maximizing available data and allowing for stringent quality filters. Pseudopairing reads for consensus base calling reduces read error rates from 5.3 to 0.53%, and our pileup consensus approach provides per-base counts and confidence scores, allowing for interpretation of the certainty of the resulting consensus sequences. For pure plasmid samples, we demonstrate 100% accuracy in the resulting consensus sequence, and the sensitivity to detect small mutations such as insertions, deletions, and single nucleotide variants. In test cases where the sequenced pool of plasmids contains subclonal templates, detection sensitivity is similar to that of traditional capillary sequencing.ConclusionsOur pipeline can provide significant cost savings compared to outsourcing clinical-grade sequencing of plasmids, making generation of high-quality plasmid sequence for clinical sequence verification more accessible. While other long-read-based methods offer higher-throughput and less cost, our pipeline produces complete and accurate sequence verification for cases where absolute sequence accuracy is required.

Dataset Information

Assessing de novo parasite genomes assembled using only Oxford Nanopore Technologies MinION data.

Publications

Assessing <i>de novo</i> parasite genomes assembled using only Oxford Nanopore Technologies MinION data.

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