Evidence map›Paper›PMID 25354084›Full record

ArticlePloS one2014

Diverse and widespread contamination evident in the unmapped depths of high throughput sequencing data.

Richard W Lusk

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 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing 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

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

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Gut and Joint Microbiomes: Implications in Osteoarthritis.Rheumatic diseases clinics of North America · 2025
    Review
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  11. Article
  12. Review
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  16. Review
  17. Effect of T-DNA Integration on Growth of TransgenicInternational journal of molecular sciences · 2023
    Article
  18. Article
  19. Article
  20. Article

49 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

1 author.

Richard W LuskDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.

Funding

Linking sequence to expression using binding diversity in interspecies hybridsF32GM100685 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUSK, RICHARD WILLIAM · 2012 to 2014
$102k
NIGMS NIH HHS F32 GM100685NIGMS NIH HHS F32-GM100685
6 · The paper itself

Abstract

Trace quantities of contaminating DNA are widespread in the laboratory environment, but their presence has received little attention in the context of high throughput sequencing. This issue is highlighted by recent works that have rested controversial claims upon sequencing data that appear to support the presence of unexpected exogenous species. I used reads that preferentially aligned to alternate genomes to infer the distribution of potential contaminant species in a set of independent sequencing experiments. I confirmed that dilute samples are more exposed to contaminating DNA, and, focusing on four single-cell sequencing experiments, found that these contaminants appear to originate from a wide diversity of clades. Although negative control libraries prepared from 'blank' samples recovered the highest-frequency contaminants, low-frequency contaminants, which appeared to make heterogeneous contributions to samples prepared in parallel within a single experiment, were not well controlled for. I used these results to show that, despite heavy replication and plausible controls, contamination can explain all of the observations used to support a recent claim that complete genes pass from food to human blood. Contamination must be considered a potential source of signals of exogenous species in sequencing data, even if these signals are replicated in independent experiments, vary across conditions, or indicate a species which seems a priori unlikely to contaminate. Negative control libraries processed in parallel are essential to control for contaminant DNAs, but their limited ability to recover low-frequency contaminants must be recognized.

Indexed as

DNA, BacterialDNA ContaminationEscherichia coliHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNA, Bacterial

Identifiers

PMID25354084
PMCPMC4213012

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.