Natrix2 – Improved amplicon workflow with novel Oxford Nanopore Technologies support and enhancements in clustering, classification and taxonomic databases

Bibliographic Details
Title: Natrix2 – Improved amplicon workflow with novel Oxford Nanopore Technologies support and enhancements in clustering, classification and taxonomic databases
Authors: Aman Deep, Dana Bludau, Marius Welzel, Sandra Clemens, Dominik Heider, Jens Boenigk, Daniela Beisser
Source: Metabarcoding and Metagenomics, Vol 7, Iss , Pp 263-271 (2023)
Publisher Information: Pensoft Publishers, 2023.
Publication Year: 2023
Collection: LCC:Ecology
Subject Terms: Ecology, QH540-549.5
More Details: Sequencing of amplified DNA is the first step towards the generation of Amplicon Sequence Variants (ASVs) or Operational Taxonomic Units (OTUs) for biodiversity assessment and comparative analyses of environmental communities and microbiomes. Notably, the rapid advancements in sequencing technologies have paved the way for the growing utilization of third-generation long-read approaches in recent years. These sequence data imply increasing read lengths, higher error rates, and altered sequencing chemistry. Likewise, methods for amplicon classification and reference databases have progressed, leading to the expansion of taxonomic application areas and higher classification accuracy. With Natrix, a user-friendly and reducible workflow solution, processing of prokaryotic and eukaryotic environmental Illumina sequences using 16S or 18S is possible. Here, we present an updated version of the pipeline, Natrix2, which incorporates VSEARCH as an alternative clustering method with better performance for 16S metabarcoding approaches and mothur for taxonomic classification on further databases, including PR2, UNITE and SILVA. Additionally, Natrix2 includes the handling of Nanopore reads, which entails initial error correction and refinement of reads using Medaka and Racon to subsequently determine their taxonomic classification.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2534-9708
Relation: https://mbmg.pensoft.net/article/109389/download/pdf/; https://mbmg.pensoft.net/article/109389/download/xml/; https://mbmg.pensoft.net/article/109389/; https://doaj.org/toc/2534-9708
DOI: 10.3897/mbmg.7.109389
Access URL: https://doaj.org/article/bbc8c28ceee340b081e39e62e3366953
Accession Number: edsdoj.bbc8c28ceee340b081e39e62e3366953
Database: Directory of Open Access Journals
More Details
ISSN:25349708
DOI:10.3897/mbmg.7.109389
Published in:Metabarcoding and Metagenomics
Language:English