Evidence map›Paper›PMID 34891160›Full record

ArticleGigaScience2021

A high-throughput multiplexing and selection strategy to complete bacterial genomes.

Sergio Arredondo-Alonso, Anna K Pöntinen, François Cléon, Rebecca A Gladstone, Anita C Schürch, Pål J Johnsen, Ørjan Samuelsen, Jukka Corander

Abstract read
In one paragraph

Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Accurate serotype identification ofJournal of clinical microbiology · 2026
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  4. Review
  5. Article
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  13. Impact ofEvolution letters · 2022
    Article
  14. Article
  15. Article
  16. RecoveringMicroorganisms · 2021
    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

8 authors.

Sergio Arredondo-AlonsoDepartment of Biostatistics, University of Oslo, 0317, Oslo, Norway.ORCID 0000-0002-4445-2442
Anna K PöntinenDepartment of Biostatistics, University of Oslo, 0317, Oslo, Norway.ORCID 0000-0002-3160-2042
François CléonDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.ORCID 0000-0002-7870-5241
Rebecca A GladstoneDepartment of Biostatistics, University of Oslo, 0317, Oslo, Norway.ORCID 0000-0002-7993-3051
Anita C SchürchDepartment of Medical Microbiology, UMC Utrecht, 3584 CX, Utrecht, the Netherlands.ORCID 0000-0003-1894-7545
Pål J JohnsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.ORCID 0000-0002-6455-6433
Ørjan SamuelsenDepartment of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037, Tromsø, Norway.ORCID 0000-0002-5525-2614
Jukka CoranderDepartment of Biostatistics, University of Oslo, 0317, Oslo, Norway.ORCID 0000-0002-7752-1942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial whole-genome sequencing based on short-read technologies often results in a draft assembly formed by contiguous sequences. The introduction of long-read sequencing technologies permits those contiguous sequences to be unambiguously bridged into complete genomes. However, the elevated costs associated with long-read sequencing frequently limit the number of bacterial isolates that can be long-read sequenced. Here we evaluated the recently released 96 barcoding kit from Oxford Nanopore Technologies (ONT) to generate complete genomes on a high-throughput basis. In addition, we propose an isolate selection strategy that optimizes a representative selection of isolates for long-read sequencing considering as input large-scale bacterial collections.

resultsDespite an uneven distribution of long reads per barcode, near-complete chromosomal sequences (assembly contiguity = 0.89) were generated for 96 Escherichia coli isolates with associated short-read sequencing data. The assembly contiguity of the plasmid replicons was even higher (0.98), which indicated the suitability of the multiplexing strategy for studies focused on resolving plasmid sequences. We benchmarked hybrid and ONT-only assemblies and showed that the combination of ONT sequencing data with short-read sequencing data is still highly desirable (i) to perform an unbiased selection of isolates for long-read sequencing, (ii) to achieve an optimal genome accuracy and completeness, and (iii) to include small plasmids underrepresented in the ONT library.

conclusionsThe proposed long-read isolate selection ensures the completion of bacterial genomes that span the genome diversity inherent in large collections of bacterial isolates. We show the potential of using this multiplexing approach to close bacterial genomes on a high-throughput basis.

Indexed as

Genome, BacterialNanoporesGene LibraryHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID34891160
PMCPMC8673558

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LicenceCC BY
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Registered trials

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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.