Evidence map›Paper›PMID 38296951›Full record

ArticleNature communications2024

ContScout: sensitive detection and removal of contamination from annotated genomes.

Balázs Bálint, Zsolt Merényi, Botond Hegedüs, Igor V Grigoriev, Zhihao Hou, Csenge Földi, László G Nagy

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
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  8. Article
  9. Article
  10. Contamination Survey of Insect Genomic and Transcriptomic Data.Animals : an open access journal from MDPI · 2024
    Article
  11. Article
  12. Review
  13. 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

7 authors.

Balázs BálintSynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary.ORCID 0000-0002-5102-0787
Zsolt MerényiSynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary.ORCID 0000-0003-1114-3739
Botond HegedüsSynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary.ORCID 0000-0002-8553-8234
Igor V GrigorievU.S. Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.ORCID 0000-0002-3136-8903
Zhihao HouSynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary.ORCID 0000-0002-7510-458X
Csenge FöldiSynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary.ORCID 0000-0002-9982-0679
László G NagySynthetic and Systems Biology Unit, HUN-REN Biological Research Centre, Szeged, Szeged, 6726, Hungary. lnagy@fungenomelab.com.ORCID 0000-0002-4102-8566

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 758161Magyar Tudományos Akadémia (Hungarian Academy of Sciences) LP2019-13/2019
6 · The paper itself

Abstract

Contamination of genomes is an increasingly recognized problem affecting several downstream applications, from comparative evolutionary genomics to metagenomics. Here we introduce ContScout, a precise tool for eliminating foreign sequences from annotated genomes. It achieves high specificity and sensitivity on synthetic benchmark data even when the contaminant is a closely related species, outperforms competing tools, and can distinguish horizontal gene transfer from contamination. A screen of 844 eukaryotic genomes for contamination identified bacteria as the most common source, followed by fungi and plants. Furthermore, we show that contaminants in ancestral genome reconstructions lead to erroneous early origins of genes and inflate gene loss rates, leading to a false notion of complex ancestral genomes. Taken together, we offer here a tool for sensitive removal of foreign proteins, identify and remove contaminants from diverse eukaryotic genomes and evaluate their impact on phylogenomic analyses.

Indexed as

GenomeGenomicsBiological EvolutionEvolution, MolecularMetagenomicsPhylogeny

Identifiers

PMID38296951
PMCPMC10831095

What OpenQuestion holds

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Registered trials

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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.