Shifts in rhizosphere microbial cross-kingdom co-occurrence network underpin Fusarium solani-mediated root rot in tobacco

Fusarium solani –mediated tobacco root rot causes significant agricultural losses, yet the synergistic roles of multiple soil properties and non-pathogenic microbiota in disease outbreaks remain unclear. Based on analyses of 72 root and leaf samples from healthy and diseased tobacco plants across three major planting areas in Yunnan, China. The results showed that, in rhizosphere soil, although micronutrients explain 8%–11% of the variation in microbial community composition between healthy and diseased plants, exceeding the explanatory power of other soil properties, there was still a large amount of unexplained variance. This indicates that abiotic factor micronutrient played a certain role in regulating root rot, while biotic factors were still the dominant factor in the occurrence of the disease. Furthermore, machine learning identifies 14 bacterial, five fungal, and three protistan taxa (e.g., Mortierella and Gonostomum ) that are positively correlated with disease severity and form cooperative networks with Fusarium solani . Cross-kingdom co-occurrence networks in diseased tobacco show systematic reconstruction interactions increasing by 8%–27% (rhizosphere, 37% vs 29%; rhizoplane, 45% vs 18%) and bacterial–fungal interactions decreasing by 11%–21% (rhizosphere, 20% vs 31%; rhizoplane, 25% vs 26%). The impaired root nutrient uptake caused by root rot results in a significant surplus of available nutrients (NO 3 − -N, AP, AK, and DON) in diseased rhizosphere soil, increasing the risk of nutrient losses. A disease outbreak pattern is proposed in which a shift in cross-kingdom microbial cooperation and synergistic effects of soil properties disrupt rhizosphere homeostasis following pathogen infection, thereby triggering tobacco root rot. These findings indicate that multiple soil properties (including TK, Mn, Mg, Cu, and Zn) function as previously underappreciated regulators of cooperative interactions between microbial communities and pathogens and provide potential targets for the management of tobacco root rot. Changes in cross-kingdom microbial community interactions dominated by micronutrient aided tobacco root rot and reduced available nutrient absorption • Soil micronutrients enhance tobacco root rot severity at high pathogen abundance. • Micronutrients reshape cross-kingdom microbial interactions. • Fungal-fungal interactions increase in diseased rhizosphere and phyllosphere. • Machine learning identified non-pathogenic microbes aiding F_solani invasion.

Authors

Institutions

Publication Details

Journal
Industrial Crops and Products
Published
2026-04-21
DOI
https://doi.org/10.1016/j.indcrop.2026.123148
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Shifts in rhizosphere microbial cross-kingdom co-occurrence network underpin Fusarium solani-mediated root rot in tobacco

Luoping Wang, Wenjun Zhao, Wang Zhengxu, Hai Liang et al.
Industrial Crops and Products
Plant-Microbe Interactions and Immunity
article

Shifts in rhizosphere microbial cross-kingdom co-occurrence network underpin Fusarium solani-mediated root rot in tobacco

Luoping Wang, Wenjun Zhao, Wang Zhengxu, Hai Liang, Kui Liu, Jie Yang, Feng Yu, Jiansong Wang, Junping Lu, Zhao Wenjia, Hua Chen, Yule Zhang, Guopeng Zhou, Weidong Cao, Libo Fu, Xiang Yuan
article en

Abstract

Fusarium solani –mediated tobacco root rot causes significant agricultural losses, yet the synergistic roles of multiple soil properties and non-pathogenic microbiota in disease outbreaks remain unclear. Based on analyses of 72 root and leaf samples from healthy and diseased tobacco plants across three major planting areas in Yunnan, China. The results showed that, in rhizosphere soil, although micronutrients explain 8%–11% of the variation in microbial community composition between healthy and diseased plants, exceeding the explanatory power of other soil properties, there was still a large amount of unexplained variance. This indicates that abiotic factor micronutrient played a certain role in regulating root rot, while biotic factors were still the dominant factor in the occurrence of the disease. Furthermore, machine learning identifies 14 bacterial, five fungal, and three protistan taxa (e.g., Mortierella and Gonostomum ) that are positively correlated with disease severity and form cooperative networks with Fusarium solani . Cross-kingdom co-occurrence networks in diseased tobacco show systematic reconstruction interactions increasing by 8%–27% (rhizosphere, 37% vs 29%; rhizoplane, 45% vs 18%) and bacterial–fungal interactions decreasing by 11%–21% (rhizosphere, 20% vs 31%; rhizoplane, 25% vs 26%). The impaired root nutrient uptake caused by root rot results in a significant surplus of available nutrients (NO 3 − -N, AP, AK, and DON) in diseased rhizosphere soil, increasing the risk of nutrient losses. A disease outbreak pattern is proposed in which a shift in cross-kingdom microbial cooperation and synergistic effects of soil properties disrupt rhizosphere homeostasis following pathogen infection, thereby triggering tobacco root rot. These findings indicate that multiple soil properties (including TK, Mn, Mg, Cu, and Zn) function as previously underappreciated regulators of cooperative interactions between microbial communities and pathogens and provide potential targets for the management of tobacco root rot. Changes in cross-kingdom microbial community interactions dominated by micronutrient aided tobacco root rot and reduced available nutrient absorption • Soil micronutrients enhance tobacco root rot severity at high pathogen abundance. • Micronutrients reshape cross-kingdom microbial interactions. • Fungal-fungal interactions increase in diseased rhizosphere and phyllosphere. • Machine learning identified non-pathogenic microbes aiding F_solani invasion.

Industrial Crops and ProductsVol. 245
Anhui Agricultural University (CN), Yunnan Agricultural University (CN), China Tobacco (CN), Institute of Agricultural Resources and Regional Planning (CN), Guangxi Academy of Agricultural Science (CN), Yunnan Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Hanzhong People's Hospital (CN)
National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 7%
Plant-Microbe Interactions and Immunity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.