Evidence map›Paper›PMID 39386005›Full record

ArticlePNAS nexus2024

High accuracy meets high throughput for near full-length 16S ribosomal RNA amplicon sequencing on the Nanopore platform.

Xuan Lin, Katherine Waring, Hans Ghezzi, Carolina Tropini, John Tyson, Ryan M Ziels

Abstract read
In one paragraph

Article in PNAS nexus, 2024. 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.

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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

6 authors.

Xuan LinCivil Engineering, The University of British Columbia, 6250 Applied Science Ln #2002, Vancouver, BC, CanadaV6T 1Z4.ORCID https://orcid.org/0000-0002-4988-1668
Katherine WaringCivil Engineering, The University of British Columbia, 6250 Applied Science Ln #2002, Vancouver, BC, CanadaV6T 1Z4.ORCID https://orcid.org/0000-0002-7196-3256
Hans GhezziGraduate Program in Bioinformatics, The University of British Columbia, Vancouver, BC, CanadaV5Z 4S6.ORCID https://orcid.org/0000-0002-3165-1805
Carolina TropiniGraduate Program in Bioinformatics, The University of British Columbia, Vancouver, BC, CanadaV5Z 4S6.ORCID https://orcid.org/0000-0002-7542-1577
John TysonBritish Columbia Center for Disease Control Public Health Laboratory, Vancouver, BC, CanadaV5Z 4R4.
Ryan M ZielsCivil Engineering, The University of British Columbia, 6250 Applied Science Ln #2002, Vancouver, BC, CanadaV6T 1Z4.ORCID https://orcid.org/0000-0003-3705-6078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small subunit (SSU) ribosomal RNA (rRNA) gene amplicon sequencing is a foundational method in microbial ecology. Currently, short-read platforms are commonly employed for high-throughput applications of SSU rRNA amplicon sequencing, but at the cost of poor taxonomic classification due to limited fragment lengths. The Oxford Nanopore Technologies (ONT) platform can sequence full-length SSU rRNA genes, but its lower raw-read accuracy has so-far limited accurate taxonomic classification and de novo feature generation. Here, we present a sequencing workflow, termed

Indexed as

16S rRNAamplicon sequencinglong readsmicrobiomeNanopore

Identifiers

PMID39386005
PMCPMC11462149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.