Evidence map›Paper›PMID 40468886›Full record

ArticleThe plant pathology journal2025

Transcriptome Analysis of Dryadomyces quercus-mongolicae, a Fungus Associated with Korean Oak Wilt Disease that Causes Oak Mortality in South Korea.

Hyowon Park, Jorge R Ibarra Caballero, Jane E Stewart, Ned B Klopfenstein, Uk Lee, Mee-Sook Kim

Abstract read
In one paragraph

Article in The plant pathology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Hyowon ParkDepartment of Plant Science and Technology, Chung-Ang University, Anseong 17546, Korea.
Jorge R Ibarra CaballeroDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA.
Jane E StewartDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA.
Ned B KlopfensteinUSDA Forest Service-Rocky Mountain Research Station, Moscow, ID 83843, USA.
Uk LeeSpecial Forest Resources Division, National Institute of Forest Science, Suwon 16631, Korea.
Mee-Sook KimUSDA Forest Service-Pacific Northwest Research Station, Corvallis, OR 97331, USA.

Funding

United States Department of Agriculture Forest Service ERR09
6 · The paper itself

Abstract

Korean oak wilt disease associated with Dryadomyces quercus-mongolicae recently emerged as a major tree disease in South Korea. A comprehensive transcriptome analysis is presented for D. quercus-mongolicae grown in vitro on three different culture media, identifying nearly 7,000 expressed transcripts. Most transcripts are associated with proteins essential for fungal survival and growth. The 40S ribosomal protein S25, ceramide very long chain fatty acid hydroxylase, Epl1 protein, and ADP/ATP translocase are particularly important due to their critical roles in the metabolism and environmental adaptation of fungi. Gene ontology analyses revealed that 39.4%, 61.2%, and 43.3% of transcripts were successfully annotated to biological process, molecular functions, and cellular component aspects, respectively. Furthermore, key metabolic pathways were elucidated, including sphingolipid metabolism, L-tryptophan biosynthesis, and glycolysis, which provide important information on physiological functioning of D. quercus-mongolicae. Overall, these findings provide key information on fundamental biological mechanisms of D. quercus-mongolicae.

Indexed as

oak wiltPlatypus koryoensisQuercus mongolicaRaffaelea quercus-mongolicaetranscriptome

Identifiers

PMID40468886
PMCPMC12146630

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.