Evidence map›Paper›PMID 41540028›Full record

ArticleNature communications2026

Genomic and physiological signatures of adaptation in pathogenic fungi.

Marco Alexandre Guerreiro, Andrey Yurkov, Minou Nowrousian, Kirk Broders, Eva H Stukenbrock

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Marco Alexandre GuerreiroEnvironmental Genomics Group, Botanical Institute, Christian-Albrechts University of Kiel, Kiel, Germany. mguerreiro@bot.uni-kiel.de.ORCID http://orcid.org/0000-0002-5133-8779
Andrey YurkovLeibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.ORCID http://orcid.org/0000-0002-1072-5166
Minou NowrousianDepartment of Molecular and Cellular Botany, Ruhr University Bochum, Bochum, Germany.ORCID http://orcid.org/0000-0003-0075-6695
Kirk BrodersUSDA, Agricultural Research Service, National Center for Agricultural Utilization Research, Mycotoxin Prevention and Applied Microbiology Research Unit, 1815 N. University, Peoria, IL, USA.ORCID http://orcid.org/0000-0002-8569-6005
Eva H StukenbrockEnvironmental Genomics Group, Botanical Institute, Christian-Albrechts University of Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0001-8590-3345

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) Grant No. GU 2252/1-1, Project No. 460261834
6 · The paper itself

Abstract

Emerging fungal pathogens have detrimental impacts on crops, animals, and humans. Despite the mounting threat of these emerging fungal pathogens, little is known about their transition from saprotrophic to pathogenic lifestyles. To gain insights into fungal lifestyle transitions, we study the Trichosporonales order, which includes both saprotrophic species and opportunistic human pathogens, as a system to reveal evolutionary adaptations leading to virulence in fungi. Here we use comparative genome analyses and experimental assays to demonstrate that the transition from saprotroph to opportunistic human pathogen is facilitated by adaptive translation. Codon optimization of metabolic genes grants these fungi the ability to quickly adapt to new environments. In this study, we link genomic data with fungal physiology, highlighting the role of adaptive translation in colonizing different environments and suggesting that gene translation optimization plays a critical role in fungal lifestyle evolution.

Indexed as

Adaptation, PhysiologicalFungiGenome, FungalCodonGene Expression Regulation, FungalGenomicsHumansPhylogenyProtein BiosynthesisVirulenceCodon

Identifiers

PMID41540028
PMCPMC12820176

What Socratic 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 Socratic graph.