Evidence map›Paper›PMID 36271795›Full record

ArticleNucleic acids research2023

UFCG: database of universal fungal core genes and pipeline for genome-wide phylogenetic analysis of fungi.

Dongwook Kim, Cameron L M Gilchrist, Jongsik Chun, Martin Steinegger

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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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

35 citing papers in PubMed.

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  12. Telomeric assemblies ofbioRxiv : the preprint server for biology · 2025
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  13. Gapless near Telomer-to-Telomer Assembly ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  14. Article
  15. Article
  16. Profiling the Genomes and Secreted Effector Proteins inJournal of fungi (Basel, Switzerland) · 2025
    Article
  17. Genomic and Functional Analysis of a Novel YeastJournal of fungi (Basel, Switzerland) · 2025
    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.

Dongwook KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-7386-3163
Cameron L M GilchristSchool of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-7798-427X
Jongsik ChunInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0003-3385-5171
Martin SteineggerInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0001-8781-9753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In phylogenomics the evolutionary relationship of organisms is studied by their genomic information. A common approach to phylogenomics is to extract related genes from each organism, build a multiple sequence alignment and then reconstruct evolution relations through a phylogenetic tree. Often a set of highly conserved genes occurring in single-copy, called core genes, are used for this analysis, as they allow efficient automation within a taxonomic clade. Here we introduce the Universal Fungal Core Genes (UFCG) database and pipeline for genome-wide phylogenetic analysis of fungi. The UFCG database consists of 61 curated fungal marker genes, including a novel set of 41 computationally derived core genes and 20 canonical genes derived from literature, as well as marker gene sequences extracted from publicly available fungal genomes. Furthermore, we provide an easy-to-use, fully automated and open-source pipeline for marker gene extraction, training and phylogenetic tree reconstruction. The UFCG pipeline can identify marker genes from genomic, proteomic and transcriptomic data, while producing phylogenies consistent with those previously reported, and is publicly available together with the UFCG database at https://ufcg.steineggerlab.com.

Indexed as

Databases, GeneticFungiGenes, FungalGenome, FungalPhylogenyProteomics

Identifiers

PMID36271795
PMCPMC9825530

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.