Evidence map›Paper›PMID 32706331›Full record

ReviewMicrobial genomics2020

Metagenomic approaches in microbial ecology: an update on whole-genome and marker gene sequencing analyses.

Ana Elena Pérez-Cobas, Laura Gomez-Valero, Carmen Buchrieser

Open access · goldAbstract readReview
In one paragraph

Review in Microbial genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
8.3field-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

129 citing papers in PubMed, 292 citations in OpenAlex.

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69 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

3 authors at 1 institution in 1 country.

Ana Elena Pérez-CobasInstitut Pasteur, Biologie des Bactéries Intracellulaires, Paris, France and CNRS UMR 3525, 675724, Paris, France.
Laura Gomez-ValeroInstitut Pasteur, Biologie des Bactéries Intracellulaires, Paris, France and CNRS UMR 3525, 675724, Paris, France.
Carmen BuchrieserInstitut Pasteur, Biologie des Bactéries Intracellulaires, Paris, France and CNRS UMR 3525, 675724, Paris, France.
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics and marker gene approaches, coupled with high-throughput sequencing technologies, have revolutionized the field of microbial ecology. Metagenomics is a culture-independent method that allows the identification and characterization of organisms from all kinds of samples. Whole-genome shotgun sequencing analyses the total DNA of a chosen sample to determine the presence of micro-organisms from all domains of life and their genomic content. Importantly, the whole-genome shotgun sequencing approach reveals the genomic diversity present, but can also give insights into the functional potential of the micro-organisms identified. The marker gene approach is based on the sequencing of a specific gene region. It allows one to describe the microbial composition based on the taxonomic groups present in the sample. It is frequently used to analyse the biodiversity of microbial ecosystems. Despite its importance, the analysis of metagenomic sequencing and marker gene data is quite a challenge. Here we review the primary workflows and software used for both approaches and discuss the current challenges in the field.

Indexed as

Computational BiologyGenetic MarkersHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsMicrobiotaSoftwareWhole Genome SequencingGenetic Markersmarker genesmetagenomicssequencing data analyseswhole-genome sequencing

Identifiers

PMID32706331
PMCPMC7641418
OpenAlexW3045315617

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.