Evidence map›Paper›PMID 37843887›Full record

ArticleMicrobial genomics2023

Optimization of high-throughput 16S rRNA gene amplicon sequencing: an assessment of PCR pooling, mastermix use and contamination.

Dinesh Aggarwal, Diana Rajan, Katherine L Bellis, Emma Betteridge, Joe Brennan, Catarina de Sousa, Carriage Study Team, Julian Parkhill, Sharon J Peacock, Marcus C de Goffau and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Dinesh AggarwalDepartment of Medicine, University of Cambridge, Cambridge, UK.
Diana RajanWellcome Sanger Institute, Hinxton, Cambridge, UK.
Katherine L BellisDepartment of Medicine, University of Cambridge, Cambridge, UK.
Emma BetteridgeWellcome Sanger Institute, Hinxton, Cambridge, UK.
Joe BrennanDepartment of Medicine, University of Cambridge, Cambridge, UK.
Catarina de SousaDepartment of Medicine, University of Cambridge, Cambridge, UK.
Carriage Study Team
Julian ParkhillDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.
Sharon J PeacockDepartment of Medicine, University of Cambridge, Cambridge, UK.
Marcus C de GoffauWellcome Sanger Institute, Hinxton, Cambridge, UK.
Josef WagnerWellcome Sanger Institute, Hinxton, Cambridge, UK.
Ewan M HarrisonDepartment of Medicine, University of Cambridge, Cambridge, UK.
University of Cambridge · GBWellcome Sanger Institute · GB

Funding

Medical Research Council MR/S00291X/1Wellcome Trust
6 · The paper itself

Abstract

16S rRNA gene sequencing is widely used to characterize human and environmental microbiomes. Sequencing at scale facilitates better powered studies but is limited by cost and time. We identified two areas in our 16S rRNA gene library preparation protocol where modifications could provide efficiency gains, including (1) pooling of multiple PCR amplifications per sample to reduce PCR drift and (2) manual preparation of mastermix to reduce liquid handling. Using nasal samples from healthy human participants and a serially diluted mock microbial community, we compared alpha and beta diversity, and compositional abundance where the PCR amplification was conducted in triplicate, duplicate or as a single reaction, and where manually prepared or premixed mastermix was used. One hundred and fifty-eight 16S rRNA gene sequencing libraries were prepared, including a replicate experiment. Comparing PCR pooling strategies, we found no significant difference in high-quality read counts and alpha diversity, and beta diversity by Bray-Curtis index clustered by replicate on principal coordinate analysis (PCoA) and non-metric dimensional scaling (NMDS) analysis. Choice of mastermix had no significant impact on high-quality read and alpha diversity, and beta diversity by Bray-Curtis index clustered by replicate in PCoA and NMDS analysis. Importantly, we observed contamination and variability of rare species (<0.01 %) across replicate experiments; the majority of contaminants were accounted for by removal of species present at <0.1 %, or were linked to reagents (including a primer stock). We demonstrate no requirement for pooling of PCR amplifications or manual preparation of PCR mastermix, resulting in a more efficient 16S rRNA gene PCR protocol.

Indexed as

BacteriaGenes, rRNAHumansPolymerase Chain ReactionRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S rRNA genecontaminationefficiencylaboratory protocolmastermixmicrobiomenasal samplesPCR driftPCR pooling

Identifiers

PMID37843887
PMCPMC10634443
OpenAlexW4387661758

What OpenQuestion holds

Textmetadata
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.