Cargando…
Assembly methods for nanopore-based metagenomic sequencing: a comparative study
Metagenomic sequencing has allowed for the recovery of previously unexplored microbial genomes. Whereas short-read sequencing platforms often result in highly fragmented metagenomes, nanopore-based sequencers could lead to more contiguous assemblies due to their potential to generate long reads. Nev...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423617/ https://www.ncbi.nlm.nih.gov/pubmed/32788623 http://dx.doi.org/10.1038/s41598-020-70491-3 |
_version_ | 1783570186117316608 |
---|---|
author | Latorre-Pérez, Adriel Villalba-Bermell, Pascual Pascual, Javier Vilanova, Cristina |
author_facet | Latorre-Pérez, Adriel Villalba-Bermell, Pascual Pascual, Javier Vilanova, Cristina |
author_sort | Latorre-Pérez, Adriel |
collection | PubMed |
description | Metagenomic sequencing has allowed for the recovery of previously unexplored microbial genomes. Whereas short-read sequencing platforms often result in highly fragmented metagenomes, nanopore-based sequencers could lead to more contiguous assemblies due to their potential to generate long reads. Nevertheless, there is a lack of updated and systematic studies evaluating the performance of different assembly tools on nanopore data. In this study, we have benchmarked the ability of different assemblers to reconstruct two different commercially-available mock communities that have been sequenced using Oxford Nanopore Technologies platforms. Among the tested tools, only metaFlye, Raven, and Canu performed well in all the datasets. These tools retrieved highly contiguous genomes (or even complete genomes) directly from the metagenomic data. Despite the intrinsic high error of nanopore sequencing, final assemblies reached high accuracy (~ 99.5 to 99.8% of consensus accuracy). Polishing strategies demonstrated to be necessary for reducing the number of indels, and this had an impact on the prediction of biosynthetic gene clusters. Correction with high quality short reads did not always result in higher quality draft assemblies. Overall, nanopore metagenomic sequencing data-adapted to MinION’s current output-proved sufficient for assembling and characterizing low-complexity microbial communities. |
format | Online Article Text |
id | pubmed-7423617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74236172020-08-13 Assembly methods for nanopore-based metagenomic sequencing: a comparative study Latorre-Pérez, Adriel Villalba-Bermell, Pascual Pascual, Javier Vilanova, Cristina Sci Rep Article Metagenomic sequencing has allowed for the recovery of previously unexplored microbial genomes. Whereas short-read sequencing platforms often result in highly fragmented metagenomes, nanopore-based sequencers could lead to more contiguous assemblies due to their potential to generate long reads. Nevertheless, there is a lack of updated and systematic studies evaluating the performance of different assembly tools on nanopore data. In this study, we have benchmarked the ability of different assemblers to reconstruct two different commercially-available mock communities that have been sequenced using Oxford Nanopore Technologies platforms. Among the tested tools, only metaFlye, Raven, and Canu performed well in all the datasets. These tools retrieved highly contiguous genomes (or even complete genomes) directly from the metagenomic data. Despite the intrinsic high error of nanopore sequencing, final assemblies reached high accuracy (~ 99.5 to 99.8% of consensus accuracy). Polishing strategies demonstrated to be necessary for reducing the number of indels, and this had an impact on the prediction of biosynthetic gene clusters. Correction with high quality short reads did not always result in higher quality draft assemblies. Overall, nanopore metagenomic sequencing data-adapted to MinION’s current output-proved sufficient for assembling and characterizing low-complexity microbial communities. Nature Publishing Group UK 2020-08-12 /pmc/articles/PMC7423617/ /pubmed/32788623 http://dx.doi.org/10.1038/s41598-020-70491-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Latorre-Pérez, Adriel Villalba-Bermell, Pascual Pascual, Javier Vilanova, Cristina Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title | Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title_full | Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title_fullStr | Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title_full_unstemmed | Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title_short | Assembly methods for nanopore-based metagenomic sequencing: a comparative study |
title_sort | assembly methods for nanopore-based metagenomic sequencing: a comparative study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423617/ https://www.ncbi.nlm.nih.gov/pubmed/32788623 http://dx.doi.org/10.1038/s41598-020-70491-3 |
work_keys_str_mv | AT latorreperezadriel assemblymethodsfornanoporebasedmetagenomicsequencingacomparativestudy AT villalbabermellpascual assemblymethodsfornanoporebasedmetagenomicsequencingacomparativestudy AT pascualjavier assemblymethodsfornanoporebasedmetagenomicsequencingacomparativestudy AT vilanovacristina assemblymethodsfornanoporebasedmetagenomicsequencingacomparativestudy |