Dataset Information

Mind the Gap: New Full-Length Sequences of Blastocystis Subtypes Generated via Oxford Nanopore Minion Sequencing Allow for Comparisons between Full-Length and Partial Sequences of the Small Subunit of the Ribosomal RNA Gene.

ABSTRACT: Blastocystis is a common food- and water-borne intestinal protist parasite of humans and many other animals. Blastocystis comprises multiple subtypes (STs) based on variability within the small subunit ribosomal (SSU rRNA) RNA gene. Though full-length reference sequences of the SSU rRNA gene are a current requirement to name a novel Blastocystis subtype, full-length reference sequences are not currently available for all subtypes. In the present study, Oxford Nanopore MinION long-read sequencing was employed to generate full-length SSU rRNA sequences for seven new Blastocystis subtypes for which no full-length references currently exist: ST21, ST23, ST24, ST25, ST26, ST27, and ST28. Phylogenetic analyses and pairwise distance matrixes were used to compare full-length and partial sequences of the two regions that are most commonly used for subtyping. Analyses included Blastocystis nucleotide sequences obtained in this study (ST21 and ST23-ST28) and existing subtypes for which full-length reference sequences were available (ST1-ST17 and ST29). The relationships and sequence variance between new and existing subtypes observed in analyses of different portions of the SSU rRNA gene are discussed. The full-length SSU rRNA reference sequences generated in this study provide essential new data to study and understand the relationships between the genetic complexity of Blastocystis and its host specificity, pathogenicity, and epidemiology.

SUBMITTER: Maloney JG

PROVIDER: S-EPMC8147991 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundAccurate identification of bacterial communities is crucial for research applications, diagnostics, and clinical interventions. Although 16S ribosomal RNA (rRNA) gene sequencing is a widely employed technique for bacterial taxonomic classification, it often results in misclassified or unclassified bacterial taxa. This study sought to refine the full-length 16S rRNA gene sequencing protocol using the MinION sequencer, focusing on the V1-V9 regions. Our methodological enquiry examined several factors, including the number of PCR amplification cycles, choice of primers and Taq polymerase, and specific sequence databases and workflows employed. We used a microbial standard comprising eight bacterial strains (five gram-positive and three gram-negative) in known proportions as a validation control.ResultsBased on the MinION protocol, we employed the microbial standard as the DNA template for the 16S rRNA gene amplicon sequencing procedure. Our analysis showed that an elevated number of PCR amplification cycles introduced PCR bias, and the selection of Taq polymerase and primer sets significantly affected the subsequent analysis. Bacterial identification at genus level demonstrated Pearson correlation coefficients ranging from 0.73 to 0.79 when assessed using BugSeq, Kraken-Silva and EPI2ME-16S workflows. Notably, the EPI2ME-16S workflow exhibited the highest Pearson correlation with the microbial standard, minimised misclassification, and increased alignment accuracy. At the species taxonomic level, the BugSeq workflow was superior, with a Pearson correlation coefficient of 0.92.ConclusionsThese findings emphasise the importance of careful selection of PCR settings and a well-structured analytical framework for 16S rRNA full-length gene sequencing. The results showed a robust correlation between the predicted and observed bacterial abundances at both the genus and species taxonomic levels, making these findings applicable across diverse research contexts and with clinical utility for reliable pathogen identification.

Dataset Information

Mind the Gap: New Full-Length Sequences of Blastocystis Subtypes Generated via Oxford Nanopore Minion Sequencing Allow for Comparisons between Full-Length and Partial Sequences of the Small Subunit of the Ribosomal RNA Gene.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets