Evidence map›Paper›PMID 23364577›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2013

Gene capture coupled to high-throughput sequencing as a strategy for targeted metagenome exploration.

Jérémie Denonfoux, Nicolas Parisot, Eric Dugat-Bony, Corinne Biderre-Petit, Delphine Boucher, Diego P Morgavi, Denis Le Paslier, Eric Peyretaillade, Pierre Peyret

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

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  7. High-Level Abundances ofApplied and environmental microbiology · 2019
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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 at 3 institutions in 2 countries.

Jérémie DenonfouxCentre de Recherche en Nutrition Humaine Auvergne, Clermont Université, Université d'Auvergne, EA 4678, Conception, Ingénierie et Développement de l'Aliment et du Médicament, BP 10448, Clermont-Ferrand 63000, France.
Nicolas Parisot
Eric Dugat-Bony
Corinne Biderre-Petit
Delphine Boucher
Diego P Morgavi
Denis Le Paslier
Eric Peyretaillade
Pierre Peyret
Université Clermont Auvergne · FRCentre National de la Recherche Scientifique · FRInstitut National de la Recherche Agronomique · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) allows faster acquisition of metagenomic data, but complete exploration of complex ecosystems is hindered by the extraordinary diversity of microorganisms. To reduce the environmental complexity, we created an innovative solution hybrid selection (SHS) method that is combined with NGS to characterize large DNA fragments harbouring biomarkers of interest. The quality of enrichment was evaluated after fragments containing the methyl coenzyme M reductase subunit A gene (mcrA), the biomarker of methanogenesis, were captured from a Methanosarcina strain and a metagenomic sample from a meromictic lake. The methanogen diversity was compared with direct metagenome and mcrA-based amplicon pyrosequencing strategies. The SHS approach resulted in the capture of DNA fragments up to 2.5 kb with an enrichment efficiency between 41 and 100%, depending on the sample complexity. Compared with direct metagenome and amplicons sequencing, SHS detected broader mcrA diversity, and it allowed efficient sampling of the rare biosphere and unknown sequences. In contrast to amplicon-based strategies, SHS is less biased and GC independent, and it recovered complete biomarker sequences in addition to conserved regions. Because this method can also isolate the regions flanking the target sequences, it could facilitate operon reconstructions.

Indexed as

Genome, BacterialMetagenomeBase SequenceDNA, BacterialHigh-Throughput Nucleotide SequencingMethanosarcinaOperonOxidoreductasesDNA, Bacterialmethyl coenzyme M methylreductaseOxidoreductases

Identifiers

PMID23364577
PMCPMC3628448
OpenAlexW2096772815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.