Evidence map›Paper›PMID 29097759›Full record

ArticleScientific reports2017

Sequencing genomes from mixed DNA samples - evaluating the metagenome skimming approach in lichenized fungi.

Anjuli Meiser, Jürgen Otte, Imke Schmitt, Francesco Dal Grande

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
10.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 49 citations in OpenAlex.

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  6. Utilizing Deep Neural Networks to Fill Gaps in Small Genomes.International journal of molecular sciences · 2024
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  14. Microbial Communities ofMicroorganisms · 2021
    Article
  15. Review
  16. Fungal evolution: cellular, genomic and metabolic complexity.Biological reviews of the Cambridge Philosophical Society · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Fungal evolution: major ecological adaptations and evolutionary transitions.Biological reviews of the Cambridge Philosophical Society · 2019
    Review
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 at 2 institutions in 1 country.

Anjuli MeiserInstitute of Ecology, Evolution and Diversity, Goethe University Frankfurt, Max-von-Laue Str. 13, D-60438, Frankfurt, Germany.
Jürgen OtteSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, D-60486, Frankfurt, Germany.
Imke SchmittInstitute of Ecology, Evolution and Diversity, Goethe University Frankfurt, Max-von-Laue Str. 13, D-60438, Frankfurt, Germany. imke.schmitt@senckenberg.de.
Francesco Dal GrandeSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, D-60486, Frankfurt, Germany. francesco.dalgrande@senckenberg.de.
Senckenberg Biodiversity and Climate Research Centre · DEGoethe University Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metagenome skimming approach, i.e. low coverage shotgun sequencing of multi-species assemblages and subsequent reconstruction of individual genomes, is increasingly used for in-depth genomic characterization of ecological communities. This approach is a promising tool for reconstructing genomes of facultative symbionts, such as lichen-forming fungi, from metagenomic reads. However, no study has so far tested accuracy and completeness of assemblies based on metagenomic sequences compared to assemblies based on pure culture strains of lichenized fungi. Here we assembled the genomes of Evernia prunastri and Pseudevernia furfuracea based on metagenomic sequences derived from whole lichen thalli. We extracted fungal contigs using two different taxonomic binning methods, and performed gene prediction on the fungal contig subsets. We then assessed quality and completeness of the metagenome-based assemblies using genome assemblies as reference which are based on pure culture strains of the two fungal species. Our comparison showed that we were able to reconstruct fungal genomes from uncultured lichen thalli, and also cover most of the gene space (86-90%). Metagenome skimming will facilitate genome mining, comparative (phylo)genomics, and population genetics of lichen-forming fungi by circumventing the time-consuming, sometimes unfeasible, step of aposymbiotic cultivation.

Indexed as

Genome, FungalDNA, FungalLichensMetagenomicsSequence Analysis, DNATranscriptomeDNA, Fungal

Identifiers

PMID29097759
PMCPMC5668418
OpenAlexW2766157738

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.