Evidence map›Paper›PMID 24708850›Full record

ArticleMicrobiome2014

CopyRighter: a rapid tool for improving the accuracy of microbial community profiles through lineage-specific gene copy number correction.

Florent E Angly, Paul G Dennis, Adam Skarshewski, Inka Vanwonterghem, Philip Hugenholtz, Gene W Tyson

Abstract read
In one paragraph

Article in Microbiome, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 1 pooled it
–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

128 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Seasonal dynamics of the gut microbiota inFrontiers in insect science · 2026
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  6. Cervicovaginal microbial features predictInfection and immunity · 2025
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68 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.

Florent E AnglyAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Paul G DennisAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia ; Current affiliation: School of Agriculture and Food Sciences, Level 3, Hartley Teakle Building (83), The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Adam SkarshewskiAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Inka VanwonterghemAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia ; Advanced Water Management Center, Level 4, Gehrmann Laboratories Building (60), The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Philip HugenholtzAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.
Gene W TysonAustralian Centre for Ecogenomics/School of Chemistry and Molecular Biosciences/The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia ; Advanced Water Management Center, Level 4, Gehrmann Laboratories Building (60), The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCulture-independent molecular surveys targeting conserved marker genes, most notably 16S rRNA, to assess microbial diversity remain semi-quantitative due to variations in the number of gene copies between species.

resultsBased on 2,900 sequenced reference genomes, we show that 16S rRNA gene copy number (GCN) is strongly linked to microbial phylogenetic taxonomy, potentially under-representing Archaea in amplicon microbial profiles. Using this relationship, we inferred the GCN of all bacterial and archaeal lineages in the Greengenes database within a phylogenetic framework. We created CopyRighter, new software which uses these estimates to correct 16S rRNA amplicon microbial profiles and associated quantitative (q)PCR total abundance. CopyRighter parses microbial profiles and, because GCN estimates are pre-computed for all taxa in the reference taxonomy, rapidly corrects GCN bias. Software validation with in silico and in vitro mock communities indicated that GCN correction results in more accurate estimates of microbial relative abundance and improves the agreement between metagenomic and amplicon profiles. Analyses of human-associated and anaerobic digester microbiomes illustrate that correction makes tangible changes to estimates of qPCR total abundance, α and β diversity, and can significantly change biological interpretation. For example, human gut microbiomes from twins were reclassified into three rather than two enterotypes after GCN correction.

conclusionsThe CopyRighter bioinformatic tools permits rapid correction of GCN in microbial surveys, resulting in improved estimates of microbial abundance, α and β diversity.

Identifiers

PMID24708850
PMCPMC4021573

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Registered trials

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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.