Evidence map›Paper›PMID 30990927›Full record

ArticleEnvironmental microbiology2019

ANCHOR: a 16S rRNA gene amplicon pipeline for microbial analysis of multiple environmental samples.

Emmanuel Gonzalez, Frederic E Pitre, Nicholas J B Brereton

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 59 citations in OpenAlex.

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  5. Spaceflight alters host-gut microbiota interactions.NPJ biofilms and microbiomes · 2024
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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

3 authors at 3 institutions in 1 country.

Emmanuel GonzalezCanadian Centre for Computational Genomics, McGill University and Genome Quebec Innovation Centre, Montréal, QC, H3A 0G1, Canada.
Frederic E PitreInstitut de Recherche en Biologie Végétale, University of Montreal, Montreal, QC, H1X 2B2, Canada.
Nicholas J B BreretonInstitut de Recherche en Biologie Végétale, University of Montreal, Montreal, QC, H1X 2B2, Canada.ORCID 0000-0002-2434-3249
Espace pour la vie · CAMcGill University and Génome Québec Innovation Centre · CAUniversité de Montréal · CA

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2017-05452
6 · The paper itself

Abstract

Analysis of 16S ribosomal RNA (rRNA) gene amplification data for microbial barcoding can be inaccurate across complex environmental samples. A method, ANCHOR, is presented and designed for improved species-level microbial identification using paired-end sequences directly, multiple high-complexity samples and multiple reference databases. A standard operating procedure (SOP) is reported alongside benchmarking against artificial, single sample and replicated mock data sets. The method is then directly tested using a real-world data set from surface swabs of the International Space Station (ISS). Simple mock community analysis identified 100% of the expected species and 99% of expected gene copy variants (100% identical). A replicated mock community revealed similar or better numbers of expected species than MetaAmp, DADA2, Mothur and QIIME1. Analysis of the ISS microbiome identified 714 putative unique species/strains and differential abundance analysis distinguished significant differences between the Destiny module (U.S. laboratory) and Harmony module (sleeping quarters). Harmony was remarkably dominated by human gastrointestinal tract bacteria, similar to enclosed environments on earth; however, Destiny module bacteria also derived from nonhuman microbiome carriers present on the ISS, the laboratory's research animals. ANCHOR can help substantially improve sequence resolution of 16S rRNA gene amplification data within biologically replicated environmental experiments and integrated multidatabase annotation enhances interpretation of complex, nonreference microbiomes.

Indexed as

AnimalsBacteriaDNA, BacterialEnvironmental MicrobiologyExobiologyGastrointestinal MicrobiomeHumansMicrobiotaRNA, Ribosomal, 16SSequence Analysis, DNASpacecraftSpecies SpecificityDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID30990927
PMCPMC6851558
OpenAlexW2936807503

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.