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METASEED: a novel approach to full-length 16S rRNA gene reconstruction from short read data.
Philip, Melcy; Rudi, Knut; Ormaasen, Ida; Angell, Inga Leena; Pettersen, Ragnhild; Keeley, Nigel B; Snipen, Lars-Gustav.
Afiliação
  • Philip M; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway. philip.melcy@nmbu.no.
  • Rudi K; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
  • Ormaasen I; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
  • Angell IL; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
  • Pettersen R; Akvaplan-Niva, Tromsø, Norway.
  • Keeley NB; Institute of Marine Research, Tromsø, Norway.
  • Snipen LG; Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
BMC Bioinformatics ; 25(1): 237, 2024 Jul 12.
Article em En | MEDLINE | ID: mdl-38997633
ABSTRACT

BACKGROUND:

With the emergence of Oxford Nanopore technology, now the on-site sequencing of 16S rRNA from environments is available. Due to the error level and structure, the analysis of such data demands some database of reference sequences. However, many taxa from complex and diverse environments, have poor representation in publicly available databases. In this paper, we propose the METASEED pipeline for the reconstruction of full-length 16S sequences from such environments, in order to improve the reference for the subsequent use of on-site sequencing.

RESULTS:

We show that combining high-precision short-read sequencing of both 16S and full metagenome from the same samples allow us to reconstruct high-quality 16S sequences from the more abundant taxa. A significant novelty is the carefully designed collection of metagenome reads that matches the 16S amplicons, based on a combination of uniqueness and abundance. Compared to alternative approaches this produces superior results.

CONCLUSION:

Our pipeline will facilitate numerous studies associated with various unknown microorganisms, thus allowing the comprehension of the diverse environments. The pipeline is a potential tool in generating a full length 16S rRNA gene database for any environment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Ribossômico 16S / Metagenoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Ribossômico 16S / Metagenoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article