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MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads
An important step in ‘metagenomics’ analysis is the assembly of multiple genomes from mixed sequence reads of multiple species in a microbial community. Most conventional pipelines use a single-genome assembler with carefully optimized parameters. A limitation of a single-genome assembler for de nov...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488206/ https://www.ncbi.nlm.nih.gov/pubmed/22821567 http://dx.doi.org/10.1093/nar/gks678 |
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author | Namiki, Toshiaki Hachiya, Tsuyoshi Tanaka, Hideaki Sakakibara, Yasubumi |
author_facet | Namiki, Toshiaki Hachiya, Tsuyoshi Tanaka, Hideaki Sakakibara, Yasubumi |
author_sort | Namiki, Toshiaki |
collection | PubMed |
description | An important step in ‘metagenomics’ analysis is the assembly of multiple genomes from mixed sequence reads of multiple species in a microbial community. Most conventional pipelines use a single-genome assembler with carefully optimized parameters. A limitation of a single-genome assembler for de novo metagenome assembly is that sequences of highly abundant species are likely misidentified as repeats in a single genome, resulting in a number of small fragmented scaffolds. We extended a single-genome assembler for short reads, known as ‘Velvet’, to metagenome assembly, which we called ‘MetaVelvet’, for mixed short reads of multiple species. Our fundamental concept was to first decompose a de Bruijn graph constructed from mixed short reads into individual sub-graphs, and second, to build scaffolds based on each decomposed de Bruijn sub-graph as an isolate species genome. We made use of two features, the coverage (abundance) difference and graph connectivity, for the decomposition of the de Bruijn graph. For simulated datasets, MetaVelvet succeeded in generating significantly higher N50 scores than any single-genome assemblers. MetaVelvet also reconstructed relatively low-coverage genome sequences as scaffolds. On real datasets of human gut microbial read data, MetaVelvet produced longer scaffolds and increased the number of predicted genes. |
format | Online Article Text |
id | pubmed-3488206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34882062012-11-06 MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads Namiki, Toshiaki Hachiya, Tsuyoshi Tanaka, Hideaki Sakakibara, Yasubumi Nucleic Acids Res Methods Online An important step in ‘metagenomics’ analysis is the assembly of multiple genomes from mixed sequence reads of multiple species in a microbial community. Most conventional pipelines use a single-genome assembler with carefully optimized parameters. A limitation of a single-genome assembler for de novo metagenome assembly is that sequences of highly abundant species are likely misidentified as repeats in a single genome, resulting in a number of small fragmented scaffolds. We extended a single-genome assembler for short reads, known as ‘Velvet’, to metagenome assembly, which we called ‘MetaVelvet’, for mixed short reads of multiple species. Our fundamental concept was to first decompose a de Bruijn graph constructed from mixed short reads into individual sub-graphs, and second, to build scaffolds based on each decomposed de Bruijn sub-graph as an isolate species genome. We made use of two features, the coverage (abundance) difference and graph connectivity, for the decomposition of the de Bruijn graph. For simulated datasets, MetaVelvet succeeded in generating significantly higher N50 scores than any single-genome assemblers. MetaVelvet also reconstructed relatively low-coverage genome sequences as scaffolds. On real datasets of human gut microbial read data, MetaVelvet produced longer scaffolds and increased the number of predicted genes. Oxford University Press 2012-11 2012-07-19 /pmc/articles/PMC3488206/ /pubmed/22821567 http://dx.doi.org/10.1093/nar/gks678 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Namiki, Toshiaki Hachiya, Tsuyoshi Tanaka, Hideaki Sakakibara, Yasubumi MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title | MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title_full | MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title_fullStr | MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title_full_unstemmed | MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title_short | MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads |
title_sort | metavelvet: an extension of velvet assembler to de novo metagenome assembly from short sequence reads |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3488206/ https://www.ncbi.nlm.nih.gov/pubmed/22821567 http://dx.doi.org/10.1093/nar/gks678 |
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