Evidence map›Paper›PMID 29291348›Full record

ArticleNature biotechnology2018

Retrieval of a million high-quality, full-length microbial 16S and 18S rRNA gene sequences without primer bias.

Søren M Karst, Morten S Dueholm, Simon J McIlroy, Rasmus H Kirkegaard, Per H Nielsen, Mads Albertsen

Abstract read
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In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 3 pooled it
10.7field-weighted citation impact, top 1% of its field
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

97 citing papers in PubMed, 3 syntheses or guidelines pooled it, 221 citations in OpenAlex.

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37 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Søren M KarstCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.
Morten S DueholmCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.ORCID 0000-0003-4135-2670
Simon J McIlroyCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.ORCID 0000-0003-3749-8730
Rasmus H KirkegaardCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.ORCID 0000-0003-3349-3617
Per H NielsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.ORCID 0000-0002-6402-1877
Mads AlbertsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Denmark.ORCID 0000-0002-6151-190X
Aalborg University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small subunit ribosomal RNA (SSU rRNA) genes, 16S in bacteria and 18S in eukaryotes, have been the standard phylogenetic markers used to characterize microbial diversity and evolution for decades. However, the reference databases of full-length SSU rRNA gene sequences are skewed to well-studied ecosystems and subject to primer bias and chimerism, which results in an incomplete view of the diversity present in a sample. We combine poly(A)-tailing and reverse transcription of SSU rRNA molecules with synthetic long-read sequencing to generate high-quality, full-length SSU rRNA sequences, without primer bias, at high throughput. We apply our approach to samples from seven different ecosystems and obtain more than a million SSU rRNA sequences from all domains of life, with an estimated raw error rate of 0.17%. We observe a large proportion of novel diversity, including several deeply branching phylum-level lineages putatively related to the Asgard Archaea. Our approach will enable expansion of the SSU rRNA reference databases by orders of magnitude, and contribute to a comprehensive census of the tree of life.

Indexed as

PhylogenyArchaeaBacteriaBiodiversityEukaryotaHigh-Throughput Nucleotide SequencingMetagenomeRNA, Ribosomal, 16SRNA, Ribosomal, 18SRNA, Ribosomal, 16SRNA, Ribosomal, 18S

Identifiers

PMID29291348
OpenAlexW2781953684

What OpenQuestion holds

Textmetadata
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.