Evidence map›Paper›PMID 31862787›Full record

ArticleG3 (Bethesda, Md.)2020

Prevalence and Implications of Contamination in Public Genomic Resources: A Case Study of 43 Reference Arthropod Assemblies.

Clementine M Francois, Faustine Durand, Emeric Figuet, Nicolas Galtier

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Contamination Survey of Insect Genomic and Transcriptomic Data.Animals : an open access journal from MDPI · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. GenomeFLTR: filtering reads made easy.Nucleic acids research · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Clementine M FrancoisUMR 5554, Institut des Sciences de l'Evolution; CNRS, University of Montpellier, IRD, EPHE, Montpellier, France clementine.francois@univ-lyon1.fr.ORCID 0000-0001-7781-8781
Faustine DurandUMR 5554, Institut des Sciences de l'Evolution; CNRS, University of Montpellier, IRD, EPHE, Montpellier, France.
Emeric FiguetUMR 5554, Institut des Sciences de l'Evolution; CNRS, University of Montpellier, IRD, EPHE, Montpellier, France.
Nicolas GaltierUMR 5554, Institut des Sciences de l'Evolution; CNRS, University of Montpellier, IRD, EPHE, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thanks to huge advances in sequencing technologies, genomic resources are increasingly being generated and shared by the scientific community. The quality of such public resources are therefore of critical importance. Errors due to contamination are particularly worrying; they are widespread, propagate across databases, and can compromise downstream analyses, especially the detection of horizontally-transferred sequences. However we still lack consistent and comprehensive assessments of contamination prevalence in public genomic data. Here we applied a standardized procedure for foreign sequence annotation to 43 published arthropod genomes from the widely used Ensembl Metazoa database. This method combines information on sequence similarity and synteny to identify contaminant and putative horizontally-transferred sequences in any genome assembly, provided that an adequate reference database is available. We uncovered considerable heterogeneity in quality among arthropod assemblies, some being devoid of contaminant sequences, whereas others included hundreds of contaminant genes. Contaminants far outnumbered horizontally-transferred genes and were a major confounder of their detection, quantification and analysis. We strongly recommend that automated standardized decontamination procedures be systematically embedded into the submission process to genomic databases.

Indexed as

DNA ContaminationGenomeGenomicsAnimalsArthropodsComputational BiologyDatabases, GeneticGenome, InsectHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationPhylogenyReproducibility of ResultsSequence Analysis, DNAautomated detection pipelinecontaminant sequencescuration of genomic databaseshorizontal gene transfer

Identifiers

PMID31862787
PMCPMC7003083

What OpenQuestion holds

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LicenceCC BY
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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.