Oak wilt disease may reduce the initial decay rate of dead Quercus serrata stems by altering wood-inhabiting fungal communities

Oak wilt causes severe dieback of Quercus serrata, a dominant tree species in the lowlands across Japan. Here, we evaluated the effects of oak wilt on the wood-inhabiting fungal community and the decay rate of deadwood using a field monitoring experiment. We demonstrated the fungal metabarcoding community from 1147 wood samples obtained from 120 experimental logs from three forest sites at five different time points during the initial 1.5 years of the experiment. Death due to wilt significantly influenced the fungal community composition and reduced fungal diversity, probably due to the dominance of a limited number of species. The Operational taxonomic unit (OTU) richness, occurrence frequency, and DNA copy number of white rot fungi were also enhanced on the logs killed by wilt, depending on the sites. Structural equation modeling suggested that the wilt-initiated changes in the fungal community reduced the decay rate of oak logs. Temperature and wood moisture also affected the fungal ..., , , # Oak wilt disease may reduce the initial decay rate of dead Quercus serrata stems by altering wood-inhabiting fungal communities

[https://doi.org/10.5061/dryad.8sf7m0czt](https://doi.org/10.5061/dryad.8sf7m0czt)

## Description of the data and file structure

The data was obtained from three localities in Japan: Aobayama (38.26N 140.85E), Yamashiro (34.79N 135.84E), Tano (31.86N 130.30E), for each, 40 logs of Quercus serrata were layed on the forest floor. Half of them are stems killed by oak wilt disease (wilt=1), and the other half are stems felled by us when they are alive (wilt=0). The data is consist of metadata of these logs and some measures on the diversity and functional composition of fungi detected from the logs molecularly. The sequence data is deposited to DDBJ (accession **PRJDB10848**). The fungal community data were from totally 1147 samples collected from these logs at five time points from autumn in 2016 to spring in 2018.

### Files and variables

#### File: KimuraO...

红栎枯萎病（Oak wilt）会对日本低地优势树种枹栎（Quercus serrata）造成严重枯梢病害。本研究通过野外监测实验，评估了红栎枯萎病对木材栖息真菌群落及枯木腐朽速率的影响。我们从3个森林样地的120根实验木段中，于实验初始1.5年内的5个不同时间点采集了1147份木材样本，据此解析了真菌元条形码（metabarcoding）群落组成。枯萎病导致的植株死亡会显著改变真菌群落组成并降低真菌多样性，这可能源于有限类群的优势度上升。此外，不同样地中，被红栎枯萎病致死的木段上，白腐真菌（white rot fungi）的操作分类单元（Operational Taxonomic Unit, OTU）丰富度、出现频率及DNA拷贝数均有所提升。结构方程模型（Structural Equation Modeling）结果表明，由枯萎病引发的真菌群落变化降低了枹栎木段的腐朽速率。温度与木材含水率同样会对真菌群落产生影响……简言之，红栎枯萎病可通过改变木材栖息真菌群落，降低枯死枹栎枝干的初始腐朽速率。

[https://doi.org/10.5061/dryad.8sf7m0czt]

## 数据集与文件结构说明

本数据集采集自日本3个样地：青叶山（Aobayama，38.26°N 140.85°E）、山城（Yamashiro，34.79°N 135.84°E）与田野（Tano，31.86°N 130.30°E）。每个样地均布设40根枹栎木段置于林地表层，其中一半为红栎枯萎病致死的木段（wilt=1），另一半为人工活体砍伐的木段（wilt=0）。本数据集包含上述木段的元数据，以及通过分子检测手段获取的木材样本中真菌多样性与功能组成相关指标。序列数据已提交至日本DNA数据库（DNA Data Bank of Japan, DDBJ），登录号为**PRJDB10848**。真菌群落数据共包含1147份样本，采集时间跨度为2016年秋季至2018年春季，共设5个时间点。

### 文件与变量

#### 文件：KimuraO...