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Generation and application of pseudo–long reads for metagenome assembly

BACKGROUND: Metagenomic assembly using high-throughput sequencing data is a powerful method to construct microbial genomes in environmental samples without cultivation. However, metagenomic assembly, especially when only short reads are available, is a complex and challenging task because mixed geno...

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Autores principales: Sim, Mikang, Lee, Jongin, Wy, Suyeon, Park, Nayoung, Lee, Daehwan, Kwon, Daehong, Kim, Jaebum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112764/
https://www.ncbi.nlm.nih.gov/pubmed/35579554
http://dx.doi.org/10.1093/gigascience/giac044
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author Sim, Mikang
Lee, Jongin
Wy, Suyeon
Park, Nayoung
Lee, Daehwan
Kwon, Daehong
Kim, Jaebum
author_facet Sim, Mikang
Lee, Jongin
Wy, Suyeon
Park, Nayoung
Lee, Daehwan
Kwon, Daehong
Kim, Jaebum
author_sort Sim, Mikang
collection PubMed
description BACKGROUND: Metagenomic assembly using high-throughput sequencing data is a powerful method to construct microbial genomes in environmental samples without cultivation. However, metagenomic assembly, especially when only short reads are available, is a complex and challenging task because mixed genomes of multiple microorganisms constitute the metagenome. Although long read sequencing technologies have been developed and have begun to be used for metagenomic assembly, many metagenomic studies have been performed based on short reads because the generation of long reads requires higher sequencing cost than short reads. RESULTS: In this study, we present a new method called PLR-GEN. It creates pseudo–long reads from metagenomic short reads based on given reference genome sequences by considering small sequence variations existing in individual genomes of the same or different species. When applied to a mock community data set in the Human Microbiome Project, PLR-GEN dramatically extended short reads in length of 101 bp to pseudo–long reads with N50 of 33 Kbp and 0.4% error rate. The use of these pseudo–long reads generated by PLR-GEN resulted in an obvious improvement of metagenomic assembly in terms of the number of sequences, assembly contiguity, and prediction of species and genes. CONCLUSIONS: PLR-GEN can be used to generate artificial long read sequences without spending extra sequencing cost, thus aiding various studies using metagenomes.
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spelling pubmed-91127642022-05-18 Generation and application of pseudo–long reads for metagenome assembly Sim, Mikang Lee, Jongin Wy, Suyeon Park, Nayoung Lee, Daehwan Kwon, Daehong Kim, Jaebum Gigascience Technical Note BACKGROUND: Metagenomic assembly using high-throughput sequencing data is a powerful method to construct microbial genomes in environmental samples without cultivation. However, metagenomic assembly, especially when only short reads are available, is a complex and challenging task because mixed genomes of multiple microorganisms constitute the metagenome. Although long read sequencing technologies have been developed and have begun to be used for metagenomic assembly, many metagenomic studies have been performed based on short reads because the generation of long reads requires higher sequencing cost than short reads. RESULTS: In this study, we present a new method called PLR-GEN. It creates pseudo–long reads from metagenomic short reads based on given reference genome sequences by considering small sequence variations existing in individual genomes of the same or different species. When applied to a mock community data set in the Human Microbiome Project, PLR-GEN dramatically extended short reads in length of 101 bp to pseudo–long reads with N50 of 33 Kbp and 0.4% error rate. The use of these pseudo–long reads generated by PLR-GEN resulted in an obvious improvement of metagenomic assembly in terms of the number of sequences, assembly contiguity, and prediction of species and genes. CONCLUSIONS: PLR-GEN can be used to generate artificial long read sequences without spending extra sequencing cost, thus aiding various studies using metagenomes. Oxford University Press 2022-05-17 /pmc/articles/PMC9112764/ /pubmed/35579554 http://dx.doi.org/10.1093/gigascience/giac044 Text en © The Author(s) 2022. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Sim, Mikang
Lee, Jongin
Wy, Suyeon
Park, Nayoung
Lee, Daehwan
Kwon, Daehong
Kim, Jaebum
Generation and application of pseudo–long reads for metagenome assembly
title Generation and application of pseudo–long reads for metagenome assembly
title_full Generation and application of pseudo–long reads for metagenome assembly
title_fullStr Generation and application of pseudo–long reads for metagenome assembly
title_full_unstemmed Generation and application of pseudo–long reads for metagenome assembly
title_short Generation and application of pseudo–long reads for metagenome assembly
title_sort generation and application of pseudo–long reads for metagenome assembly
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9112764/
https://www.ncbi.nlm.nih.gov/pubmed/35579554
http://dx.doi.org/10.1093/gigascience/giac044
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