Evidence map›Paper›PMID 24778776›Full record

ArticleJournal of oral microbiology2014

Influence of DNA extraction on oral microbial profiles obtained via 16S rRNA gene sequencing.

Loreto Abusleme, Bo-Young Hong, Amanda K Dupuy, Linda D Strausbaugh, Patricia I Diaz

Open access · goldAbstract read
In one paragraph

Article in Journal of oral microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 70 citations in OpenAlex.

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  14. Profiling of Oral Bacterial Communities.Journal of dental research · 2020
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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

5 authors at 3 institutions in 2 countries.

Loreto AbuslemeDivision of Periodontology, Department of Oral Health and Diagnostic Sciences, The University of Connecticut Health Center, Farmington, CT, USA ; Laboratory of Oral Microbiology, Faculty of Dentistry, University of Chile, Santiago, Chile.
Bo-Young HongDivision of Periodontology, Department of Oral Health and Diagnostic Sciences, The University of Connecticut Health Center, Farmington, CT, USA.
Amanda K DupuyDepartment of Molecular and Cell Biology, The Center for Applied Genetics and Technologies, The University of Connecticut, Storrs, CT, USA.
Linda D StrausbaughDepartment of Molecular and Cell Biology, The Center for Applied Genetics and Technologies, The University of Connecticut, Storrs, CT, USA.
Patricia I DiazDivision of Periodontology, Department of Oral Health and Diagnostic Sciences, The University of Connecticut Health Center, Farmington, CT, USA.
UConn Health · USUniversity of Connecticut · USUniversity of Chile · CL

Funding

The oral microbiome during cancer chemotherapy and its role in oral mucositisR01DE021578 · NIDCR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI DIAZ, PATRICIA, DONGARI-BAGTZOGLOU, ANNA I · 2010 to 2013
$3.0M
NIDCR NIH HHS R01 DE021578
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe advent of next-generation sequencing has significantly facilitated characterization of the oral microbiome. Despite great efforts in streamlining the processes of sequencing and data curation, upstream steps required for amplicon library generation could still influence 16S rRNA gene-based microbial profiles. Among upstream processes, DNA extraction is a critical step that could represent a great source of bias. Accounting for bias introduced by extraction procedures is important when comparing studies that use different methods. Identifying the method that best portrays communities is also desirable. Accordingly, the aim of this study was to evaluate bias introduced by different DNA extraction procedures on oral microbiome profiles.

designFour DNA extraction methods were tested on mock communities consisting of seven representative oral bacteria. Additionally, supragingival plaque samples were collected from seven individuals and divided equally to test two commonly used DNA extraction procedures. Amplicon libraries of the 16S rRNA gene were generated and sequenced via 454-pyrosequencing.

resultsEvaluation of mock communities revealed that DNA yield and bacterial species representation varied with DNA extraction methods. Despite producing the lowest yield of DNA, a method that included bead beating was the only protocol capable of detecting all seven species in the mock community. Comparison of the performance of two commonly used methods (crude lysis and a chemical/enzymatic lysis+column-based DNA isolation) on plaque samples showed no effect of extraction protocols on taxa prevalence but global community structure and relative abundance of individual taxa were affected. At the phylum level, the latter method improved the recovery of Actinobacteria, Bacteroidetes, and Spirochaetes over crude lysis.

conclusionDNA extraction distorts microbial profiles in simulated and clinical oral samples, reinforcing the importance of careful selection of a DNA extraction protocol to improve species recovery and facilitate data comparison across oral microbiology studies.

Indexed as

biasDNA extractionoral microbiome

Identifiers

PMID24778776
PMCPMC4000428
OpenAlexW2145525964

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.