Wu Ziqiang, Chen Jianxin, Chen Jie, Yang Yalin, Zhou Aiting, Wu Jianrong
Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, College of Forestry, Southwest Forestry University, Kunming, China.
Key Laboratory of State Forestry Administration on Biodiversity Conservation in Southwest China, College of Forestry, Southwest Forestry University, Kunming, China.
Front Microbiol. 2025 Mar 21;16:1573724. doi: 10.3389/fmicb.2025.1573724. eCollection 2025.
The pomegranate () is a significant economic tree species. In recent years, the root collar rot has severely affected pomegranates in the dry-hot valley regions of Yunnan Province, China. The rhizosphere microbiome plays a crucial role in plant growth, development, and disease resistance.
This study utilized Illumina MiSeq sequencing to analyze the fungal communities in the roots and rhizosphere soils of healthy and diseased pomegranates, focusing on the impact of root collar rot disease on the diversity and structural composition of these communities.
The results indicated that in the unique fungal communities of healthy plant roots, the relative abundance of ectomycorrhizal and arbuscular mycorrhizal functional (AMF) groups was 53.77%, including genera such as and . After infection with root collar rot disease, the rhizosphere fungal communities became more monotonous, with increased differentiation within sample groups. Fungal groups associated with plant diseases and soil nutrient structures underwent significant changes. The disease altered the composition and functional group proportions of rhizosphere fungal communities, a process linked to soil nutrient structures. And the balance between plant-pathogen-related and saprotrophic functional groups in the rhizosphere was disrupted. Through Koch's postulates verification, the pathogen was identified as .
This is the first report of collar rot of pomegranate caused by in China. Studying the differences in rhizosphere fungal community structures and quantities in response to new diseases aids in the rapid prediction of pathogens, effectively saving diagnostic time, and provides theoretical support for disease prediction, diagnosis, and control.
石榴是一种重要的经济树种。近年来，根颈腐烂病严重影响了中国云南省干热河谷地区的石榴。根际微生物群在植物生长、发育和抗病性方面起着关键作用。
本研究利用Illumina MiSeq测序分析健康和患病石榴的根及根际土壤中的真菌群落，重点关注根颈腐烂病对这些群落多样性和结构组成的影响。
结果表明，在健康植物根的独特真菌群落中，外生菌根和丛枝菌根功能（AMF）组的相对丰度为53.77%，包括如 和 等属。感染根颈腐烂病后，根际真菌群落变得更加单一，样本组内的分化增加。与植物病害和土壤养分结构相关的真菌组发生了显著变化。该病改变了根际真菌群落的组成和功能组比例，这一过程与土壤养分结构有关。并且根际中植物-病原体相关和腐生功能组之间的平衡被打破。通过柯赫氏法则验证，确定病原体为 。
这是中国首次报道由 引起的石榴根颈腐烂病。研究根际真菌群落结构和数量对新病害的响应差异有助于快速预测病原体，有效节省诊断时间，并为病害预测、诊断和防治提供理论支持。
