Evidence map›Paper›PMID 30992083›Full record

ArticleMicrobiome2019

Annotated bacterial chromosomes from frame-shift-corrected long-read metagenomic data.

Krithika Arumugam, Caner Bağcı, Irina Bessarab, Sina Beier, Benjamin Buchfink, Anna Górska, Guanglei Qiu, Daniel H Huson, Rohan B H Williams

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  3. Comparative transcription profiles ofFrontiers in microbiology · 2025
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  4. Article
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  7. Sensitive and error-tolerant annotation of protein-coding DNA with BATH.bioRxiv : the preprint server for biology · 2024
    Article
  8. Host interactions of novelMicrobial genomics · 2023
    Article
  9. Host interactions of novelbioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Review
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  15. Article
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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

9 authors.

Krithika ArumugamSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 60 Nanyang Drive, SBS-01N-27, Singapore, 637551, Singapore.
Caner BağcıDepartment of Computer Science, University of Tübingen, Sand 14, Tübingen, 72076, Germany.
Irina BessarabSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore.
Sina BeierDepartment of Computer Science, University of Tübingen, Sand 14, Tübingen, 72076, Germany.
Benjamin BuchfinkMax-Planck-Institute for Developmental Biology, Max-Planck-Ring 5, Tübingen, 72076, Germany.
Anna GórskaDepartment of Computer Science, University of Tübingen, Sand 14, Tübingen, 72076, Germany.
Guanglei QiuSingapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 60 Nanyang Drive, SBS-01N-27, Singapore, 637551, Singapore.
Daniel H HusonDepartment of Computer Science, University of Tübingen, Sand 14, Tübingen, 72076, Germany.ORCID 0000-0002-2961-604X
Rohan B H WilliamsSingapore Centre for Environmental Life Sciences Engineering, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore. lsirbhw@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShort-read sequencing technologies have long been the work-horse of microbiome analysis. Continuing technological advances are making the application of long-read sequencing to metagenomic samples increasingly feasible.

resultsWe demonstrate that whole bacterial chromosomes can be obtained from an enriched community, by application of MinION sequencing to a sample from an EBPR bioreactor, producing 6 Gb of sequence that assembles into multiple closed bacterial chromosomes. We provide a simple pipeline for processing such data, which includes a new approach to correcting erroneous frame-shifts.

conclusionsAdvances in long-read sequencing technology and corresponding algorithms will allow the routine extraction of whole chromosomes from environmental samples, providing a more detailed picture of individual members of a microbiome.

Indexed as

Chromosomes, BacterialAlgorithmsBioreactorsHigh-Throughput Nucleotide SequencingMetagenomicsMolecular Sequence AnnotationSequence Analysis, DNAAlgorithmsFrame-shiftsLong-read sequencingMicrobial genomicsMicrobiomeSequence assemblySoftware

Identifiers

PMID30992083
PMCPMC6469205

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.