Evidence map›Paper›PMID 41126027›Full record

ArticleBMC microbiology2025

Fungal dynamics and lignocellulose depolymerization in Pinus koraiensis: impact of longhorn beetle infestation.

Yue Zhu, Sixun Ge, Lili Ren, Youqing Luo

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yue Zhu *Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 10083, P. R. China.
Sixun Ge *Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 10083, P. R. China.
Lili RenBeijing Key Laboratory for Forest Pest Control, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 10083, P. R. China. lily_ren@bjfu.edu.cn.
Youqing LuoBeijing Key Laboratory for Forest Pest Control, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing, 10083, P. R. China. youqingluo@126.com.

Funding

Fundamental Research Funds for the Central Universities QNTD202510Key Technologies Research and Development Program 2021YFD1400900Shandong Provincial Key Research and Development Plan 2024CXGC010911
6 · The paper itself

Abstract

Xylophagous insects, like Monochamus saltuarius significantly affect tree-stem-associated microbial communities and pose major threats to forest ecosystems. As a vector for the pinewood nematode (Bursaphelenchus xylophilus) and a wood-boring pest, M. saltuarius infests various Pinus species. Yet, the interactions between M. saltuarius-associated fungi and the endophytic fungi of its host tree, Pinus koraiensis, remain uncharacterized. In this study, high-throughput sequencing was used to characterize fungal communities within infested and uninfested host trees. Endophytic fungi with lignocellulose-depolymerizing potential were identified, and their enzymatic activity was experimentally assessed. A significant reduction in fungal diversity was detected in infested samples, indicating that M. saltuarius infestation disrupts the native fungal community, favoring plant pathogens and diminishing the abundance of lignocellulosic depolymerizing fungi. To explore ecological shifts and diagnostic taxa, an integrated biomarker discovery framework combining Random Forest and LEfSe analysis was applied. This model revealed fungal biomarkers enriched in uninfested tissues and potentially involved in lignocellulose degradation based on functional annotation and in vitro assays. These taxa may serve as indicators of infestation status and provide insight into host-microbe-insect interactions. These findings contribute to understanding how xylophagous insect infestations restructure fungal communities and offer a model-based approach for detecting ecological signatures of pest impact in forest ecosystems.

Indexed as

ColeopteraFungiLigninPinusAnimalsEndophytesMycobiomePlant DiseasesLigninlignocelluloseBiomarkerConiferous treeDepolymerizing fungiFungal biodiversityFungusInsectLignocellulosicPhytophagous insectPlant interaction

Identifiers

PMID41126027
PMCPMC12542061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.