Evidence map›Paper›PMID 38916949›Full record

ArticleMicrobiology (Reading, England)2024

Benchmarking short-, long- and hybrid-read assemblers for metagenome sequencing of complex microbial communities.

Gleb Goussarov, Mohamed Mysara, Ilse Cleenwerck, Jürgen Claesen, Natalie Leys, Peter Vandamme, Rob Van Houdt

Abstract read
In one paragraph

Article in Microbiology (Reading, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The hidden life ofApplied and environmental microbiology · 2025
    Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gleb GoussarovMicrobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium.
Mohamed MysaraMicrobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium.
Ilse CleenwerckLaboratory of Microbiology and BCCM/LMG Bacteria Collection, Faculty of Sciences, Ghent University, Ghent, Belgium.
Jürgen ClaesenMicrobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium.
Natalie LeysMicrobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium.
Peter VandammeLaboratory of Microbiology and BCCM/LMG Bacteria Collection, Faculty of Sciences, Ghent University, Ghent, Belgium.
Rob Van HoudtMicrobiology Unit, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenome community analyses, driven by the continued development in sequencing technology, is rapidly providing insights in many aspects of microbiology and becoming a cornerstone tool. Illumina, Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) are the leading technologies, each with their own advantages and drawbacks. Illumina provides accurate reads at a low cost, but their length is too short to close bacterial genomes. Long reads overcome this limitation, but these technologies produce reads with lower accuracy (ONT) or with lower throughput (PacBio high-fidelity reads). In a critical first analysis step, reads are assembled to reconstruct genomes or individual genes within the community. However, to date, the performance of existing assemblers has never been challenged with a complex mock metagenome. Here, we evaluate the performance of current assemblers that use short, long or both read types on a complex mock metagenome consisting of 227 bacterial strains with varying degrees of relatedness. We show that many of the current assemblers are not suited to handle such a complex metagenome. In addition, hybrid assemblies do not fulfil their potential. We conclude that ONT reads assembled with CANU and Illumina reads assembled with SPAdes offer the best value for reconstructing genomes and individual genes of complex metagenomes, respectively.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsSequence Analysis, DNAGenome, BacterialMicrobiotaassemblyDNA mock metagenomelong-read sequencingsequencer benchmarksoftware benchmark

Identifiers

PMID38916949
PMCPMC11261854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.