Evidence map›Paper›PMID 34473015›Full record

ArticleMicrobial genomics2021

High-resolution microbiome analysis enabled by linking of 16S rRNA gene sequences with adjacent genomic contexts.

Žana Kapustina, Justina Medžiūnė, Gediminas Alzbutas, Irmantas Rokaitis, Karolis Matjošaitis, Gytis Mackevičius, Simona Žeimytė, Laurynas Karpus, Arvydas Lubys

Abstract read
In one paragraph

Article in Microbial genomics, 2021. 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
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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.

Žana KapustinaThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Justina MedžiūnėThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Gediminas AlzbutasThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Irmantas RokaitisBiomatter Designs, Žirmūnų str. 139A, Vilnius 09120, Lithuania.
Karolis MatjošaitisThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Gytis MackevičiusThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Simona ŽeimytėThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.
Laurynas KarpusBiomatter Designs, Žirmūnų str. 139A, Vilnius 09120, Lithuania.
Arvydas LubysThermo Fisher Scientific Baltics, V. A. Graičiūno str. 8, Vilnius 02241, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequence-based characterization of bacterial communities has long been a hostage of limitations of both 16S rRNA gene and whole metagenome sequencing. Neither approach is universally applicable, and the main efforts to resolve constraints have been devoted to improvement of computational prediction tools. Here, we present semi-targeted 16S rRNA sequencing (st16S-seq), a method designed for sequencing V1-V2 regions of the 16S rRNA gene along with the genomic locus upstream of the gene. By

Indexed as

Genome, BacterialGenomicsBacteriaBase SequenceComputational BiologyDNA, BacterialHigh-Throughput Nucleotide SequencingMetagenomeMicrobiotaPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialRNA, Ribosomal, 16S16S rRNAhigh-throughput microbiome profilingsemi-targeted sequencingtargeted DNA sequencing

Identifiers

PMID34473015
PMCPMC8715429

What OpenQuestion holds

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LicenceCC BY
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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.