Evidence map›Paper›PMID 28356418›Full record

ArticleJournal of clinical microbiology2017

Impact of Contaminating DNA in Whole-Genome Amplification Kits Used for Metagenomic Shotgun Sequencing for Infection Diagnosis.

Matthew Thoendel, Patricio Jeraldo, Kerryl E Greenwood-Quaintance, Janet Yao, Nicholas Chia, Arlen D Hanssen, Matthew P Abdel, Robin Patel

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

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

  1. Pooled it
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  11. Pathogen detection in suspected spinal infection: metagenomic next-generation sequencing versus culture.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Review
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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

8 authors.

Matthew ThoendelDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Patricio JeraldoDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-0282-4217
Kerryl E Greenwood-QuaintanceDivision of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
Janet YaoDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Nicholas ChiaDepartment of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Arlen D HanssenDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Matthew P AbdelDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Robin PatelDivision of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA patel.robin@mayo.edu.ORCID 0000-0001-6344-4141

Funding

Molecular Detection of Biofilms on Hip and Knee ImplantsR01AR056647 · NIAMS · MAYO CLINIC ROCHESTER · PI PATEL, ROBIN · 2009 to 2020
$4.5M
Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA179243NIAMS NIH HHS R01 AR056647
6 · The paper itself

Abstract

Whole-genome amplification (WGA) is a useful tool for amplification of very small quantities of DNA for many uses, including metagenomic shotgun sequencing for infection diagnosis. Depending on the application, background DNA from WGA kits can be problematic. Three WGA kits were tested for their utility in a metagenomics approach to identify the pathogens in sonicate fluid comprised of biofilms and other materials dislodged from the surfaces of explanted prosthetic joints using sonication. The Illustra V2 Genomiphi, Illustra single cell Genomiphi, and Qiagen REPLI-g single cell kits were used to test identical sonicate fluid samples. Variations in the number of background reads, the genera identified in the background, and the number of reads from known pathogens known to be present in the samples were observed between kits. These results were then compared to those obtained with a library preparation without prior WGA using an NEBNext Ultra II paired-end kit, which requires a very small amount of input DNA. This approach also resulted in the presence of contaminant bacterial DNA and yielded fewer reads from the known pathogens. These findings highlight the impact that WGA kit selection can have on metagenomic analysis of low-biomass samples and the importance of the careful selection and consideration of the implications of using these tools.

Indexed as

DNA, BacterialHumansMetagenomicsNucleic Acid Amplification TechniquesProstheses and ImplantsProsthesis-Related InfectionsWhole Genome SequencingDNA, Bacterialmetagenomicsprosthetic joint infectionwhole-genome amplification

Identifiers

PMID28356418
PMCPMC5442535

What OpenQuestion holds

Textmetadata
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.