Evidence map›Paper›PMID 24714158›Full record

ArticlePloS one2014

Strengths and limitations of 16S rRNA gene amplicon sequencing in revealing temporal microbial community dynamics.

Rachel Poretsky, Luis M Rodriguez-R, Chengwei Luo, Despina Tsementzi, Konstantinos T Konstantinidis

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 349 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
349citing papers in PubMed, 5 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

349 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Environmental science & technology · 2026
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289 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

5 authors.

Rachel PoretskySchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Luis M Rodriguez-RSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America; Center for Bioinformatics Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Chengwei LuoSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America; Center for Bioinformatics Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Despina TsementziSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Konstantinos T KonstantinidisSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America; School of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America; Center for Bioinformatics Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the short-term planktonic microbial community structure and resilience in Lake Lanier (GA, USA) while simultaneously evaluating the technical aspects of identifying taxa via 16S rRNA gene amplicon and metagenomic sequence data. 16S rRNA gene amplicons generated from four temporally discrete samples were sequenced with 454 GS-FLX-Ti yielding ∼40,000 rRNA gene sequences from each sample and representing ∼300 observed OTUs. Replicates obtained from the same biological sample clustered together but several biases were observed, linked to either the PCR or sequencing-preparation steps. In comparisons with companion whole-community shotgun metagenome datasets, the estimated number of OTUs at each timepoint was concordant, but 1.5 times and ∼10 times as many phyla and genera, respectively, were identified in the metagenomes. Our analyses showed that the 16S rRNA gene captures broad shifts in community diversity over time, but with limited resolution and lower sensitivity compared to metagenomic data. We also identified OTUs that showed marked shifts in abundance over four close timepoints separated by perturbations and tracked these taxa in the metagenome vs. 16S rRNA amplicon data. A strong summer storm had less of an effect on community composition than did seasonal mixing, which revealed a distinct succession of organisms. This study provides insights into freshwater microbial communities and advances the approaches for assessing community diversity and dynamics in situ.

Indexed as

BacteriaFresh WaterMetagenomeMetagenomicsPlanktonRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID24714158
PMCPMC3979728

What OpenQuestion holds

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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.