2019
DOI: 10.1093/gigascience/giz043
|View full text |Cite
|
Sign up to set email alerts
|

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Abstract: Background Long sequencing reads are information-rich: aiding de novo assembly and reference mapping, and consequently have great potential for the study of microbial communities. However, the best approaches for analysis of long-read metagenomic data are unknown. Additionally, rigorous evaluation of bioinformatics tools is hindered by a lack of long-read data from validated samples with known composition. Findings We sequenced 2 commercially … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
249
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 249 publications
(250 citation statements)
references
References 32 publications
0
249
1
Order By: Relevance
“…Cold Spring Harbor Laboratory Press on July 4, 2020 -Published by genome.cshlp.org Downloaded from Arumugam et al 2019), hybrid assembly (Wick et al 2017), and mock community standards (Nicholls et al 2019) are emerging. Short-read-based assembly strategies often report fragmented contigs caused by repeat elements that exceed short-read lengths, which is an issue long-read sequencing overcomes, improving the quality of genomes from metagenomics (Arumugam et al 2019).…”
Section: Complete Genomes From Long-readsmentioning
confidence: 99%
“…Cold Spring Harbor Laboratory Press on July 4, 2020 -Published by genome.cshlp.org Downloaded from Arumugam et al 2019), hybrid assembly (Wick et al 2017), and mock community standards (Nicholls et al 2019) are emerging. Short-read-based assembly strategies often report fragmented contigs caused by repeat elements that exceed short-read lengths, which is an issue long-read sequencing overcomes, improving the quality of genomes from metagenomics (Arumugam et al 2019).…”
Section: Complete Genomes From Long-readsmentioning
confidence: 99%
“…These approaches have been instrumental in developing our understanding of the distribution and evolutionary history of AMR genes [3,4,5], as well as tracking pathogen outbreaks [6]. Although long-read DNA technologies (e.g., Oxford Nanopore [7], PacBio [8]) are now being used for metagenomic sequencing [9,10], high-throughput sequencing of relatively short reads (150-250bp) in platforms such as the Illumina MiSeq still dominates metagenomics. These reads can be directly analysed using reference databases and a variety of homology search tools (e.g., [11,12,13,14]).…”
Section: Mainmentioning
confidence: 99%
“…While long-read DNA sequencing technology (e.g., Oxford Nanopore [7], PacBio [8]) is now being used for metagenomic sequencing [9,10], high-throughput sequencing of relatively short reads (150-250bp) in platforms such as the Illumina MiSeq currently dominate metagenomic analyses. Inference of taxonomic and functional diversity can be assessed directly from sequenced reads using reference databases and BLAST-based sequence similarity search tools (e.g.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, high-throughput sequencing has significantly impacted the rate at which draft genomes are produced and, together with the recent introduction of long-read sequencing from Pacific Biosciences (PacBio) and Oxford Nanopore, the quality and contiguity of assemblies of both large and small genomes has completely changed. Now, the ability to generate highly contiguous and closed prokaryote genomes is becoming routine, even from metagenomic samples containing multiple strains or species [2,3] , and high-quality chromosome-scale genomes for a number of eukaryotic species are rapidly becoming available [4][5][6] . These technologies generally require microgram quantities of high molecular weight DNA, and the success of a genome assembly is highly dependent on the degree of polymorphism present in the DNA that is sequenced.…”
Section: Introductionmentioning
confidence: 99%