Evidence map›Paper›PMID 23387867›Full record

ArticleEnvironmental microbiology2013

Comparative metagenomic and rRNA microbial diversity characterization using archaeal and bacterial synthetic communities.

Migun Shakya, Christopher Quince, James H Campbell, Zamin K Yang, Christopher W Schadt, Mircea Podar

Abstract readComparative Study
In one paragraph

Article in Environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

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

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  13. KOMB: K-core based de novo characterization of copy number variation in microbiomes.Computational and structural biotechnology journal · 2022
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40 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.

Migun ShakyaBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 47841, USA.
Christopher Quince
James H Campbell
Zamin K Yang
Christopher W Schadt
Mircea Podar

Funding

Targeted genomic characterization of uncultured bacteria from the human microbiotR01HG004857 · NHGRI · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI PODAR, MIRCEA · 2009 to 2011
$1.4M
NHGRI NIH HHS 1R01HG004857-01A1NHGRI NIH HHS R01 HG004857
6 · The paper itself

Abstract

Next-generation sequencing has dramatically changed the landscape of microbial ecology, large-scale and in-depth diversity studies being now widely accessible. However, determining the accuracy of taxonomic and quantitative inferences and comparing results obtained with different approaches are complicated by incongruence of experimental and computational data types and also by lack of knowledge of the true ecological diversity. Here we used highly diverse bacterial and archaeal synthetic communities assembled from pure genomic DNAs to compare inferences from metagenomic and SSU rRNA amplicon sequencing. Both Illumina and 454 metagenomic data outperformed amplicon sequencing in quantifying the community composition, but the outcome was dependent on analysis parameters and platform. New approaches in processing and classifying amplicons can reconstruct the taxonomic composition of the community with high reproducibility within primer sets, but all tested primers sets lead to significant taxon-specific biases. Controlled synthetic communities assembled to broadly mimic the phylogenetic richness in target environments can provide important validation for fine-tuning experimental and computational parameters used to characterize natural communities.

Indexed as

BiodiversityMetagenomicsArchaeaBacteriaDNA PrimersHigh-Throughput Nucleotide SequencingMicrobiological TechniquesPhylogenyReproducibility of ResultsRNA, RibosomalDNA PrimersRNA, Ribosomal

Identifiers

PMID23387867
PMCPMC3665634

What OpenQuestion holds

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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.