Application of microalgae reduces the incidence of bacterial wilt in flue-cured tobacco by altering soil properties and microbial community characteristics
- 1College of Agriculture, Hunan Agricultural University , , ,
- 2Zhangjiajie Branch of Hunan Tobacco Company , , ,
- 3China Tobacco Hunan Industrial Co., Ltd. , , ,
Abstract
Introduction: To elucidate the mechanisms by which microalgae reduce tobacco bacterial wilt incidence through modifying soil properties and microbial community structure.
Methods: Flue-cured tobacco (K326) was used as the test plant. Three microalgal suspension treatments—T1 (14 mL·L ⁻¹ ), T2 (28 mL·L ⁻¹ ), and T3 (56 mL·L ⁻¹ )—and a water control (CK) were established. Tobacco yield, bacterial wilt incidence, and soil chemical properties were measured. Soil bacterial abundance and microbial diversity were analyzed using quantitative real-time PCR (qPCR) and Illumina MiSeq sequencing.
Results: 1. Compared with CK, yield in T1, T2, and T3 increased by 12.2%, 17.2%, and 14.8%, respectively, while disease incidence at maturity decreased by 43.7%, 18.9%, and 71.9%, respectively; 2. Pathogen abundance at maturity in T1, T2, and T3 decreased by 74.1%, 90.7%, and 90.7%, respectively, relative to CK, and soil pathogen abundance was significantly positively correlated with disease indices; 3. Microalgae suppressed soil pathogen abundance and disease incidence by increasing soil pH and dissolved organic carbon while decreasing available potassium and available phosphorus; 4. Compared with CK, bacterial abundance at maturity in T1, T2, and T3 increased by 12%, 23%, and 33%, respectively, and biocontrol functional genera (e.g., Sphingomonas, Bacillus) were enriched; 5. Microalgae reshaped the bacterial co-occurrence network by enhancing its modularity, and this highly modular network structure significantly suppressed pathogen proliferation.
Discussion: Microalgae suppressed pathogens and reduced disease incidence by modulating soil chemical properties, increasing bacterial diversity, enriching biocontrol functional genera (e.g., Sphingomonas, Bacillus), and optimizing network topology. Under the experimental conditions, microalgae application at 28 mL·L ⁻¹ achieved the best performance, with a yield increase of 17.2% and a pathogen abundance reduction of 90.7%.
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BibTeX
@article{tian2026application,
title = {{Application of microalgae reduces the incidence of bacterial wilt in flue-cured tobacco by altering soil properties and microbial community characteristics}},
author = {Feng Tian and Min Fan and Yihua Quan and Xinyu Hu and Xinyao Liu and Xiaomin Tang and Lei Yang and Zhenhua Wang and Qiang Li},
journal = {Frontiers in microbiology},
year = {2026},
month = sep,
doi = {10.3389/fmicb.2026.1931562},
url = {https://europepmc.org/article/PMC/PMC13661983},
note = {CC BY},
}
RIS
TY - JOUR
TI - Application of microalgae reduces the incidence of bacterial wilt in flue-cured tobacco by altering soil properties and microbial community characteristics
AU - Feng Tian
AU - Min Fan
AU - Yihua Quan
AU - Xinyu Hu
AU - Xinyao Liu
AU - Xiaomin Tang
AU - Lei Yang
AU - Zhenhua Wang
AU - Qiang Li
PY - 2026
DA - 2026/09/30
JO - Frontiers in microbiology
DO - 10.3389/fmicb.2026.1931562
UR - https://europepmc.org/article/PMC/PMC13661983
AB - Introduction: To elucidate the mechanisms by which microalgae reduce tobacco bacterial wilt incidence through modifying soil properties and microbial community structure. Methods: Flue-cured tobacco (K326) was used as the test plant. Three microalgal suspension treatments—T1 (14 mL·L ⁻¹ ), T2 (28 mL·L ⁻¹ ), and T3 (56 mL·L ⁻¹ )—and a water control (CK) were established. Tobacco yield, bacterial wilt incidence, and soil chemical properties were measured. Soil bacterial abundance and microbial diversity were analyzed using quantitative real-time PCR (qPCR) and Illumina MiSeq sequencing. Results: 1. Compared with CK, yield in T1, T2, and T3 increased by 12.2%, 17.2%, and 14.8%, respectively, while disease incidence at maturity decreased by 43.7%, 18.9%, and 71.9%, respectively; 2. Pathogen abundance at maturity in T1, T2, and T3 decreased by 74.1%, 90.7%, and 90.7%, respectively, relative to CK, and soil pathogen abundance was significantly positively correlated with disease indices; 3. Microalgae suppressed soil pathogen abundance and disease incidence by increasing soil pH and dissolved organic carbon while decreasing available potassium and available phosphorus; 4. Compared with CK, bacterial abundance at maturity in T1, T2, and T3 increased by 12%, 23%, and 33%, respectively, and biocontrol functional genera (e.g., Sphingomonas, Bacillus) were enriched; 5. Microalgae reshaped the bacterial co-occurrence network by enhancing its modularity, and this highly modular network structure significantly suppressed pathogen proliferation. Discussion: Microalgae suppressed pathogens and reduced disease incidence by modulating soil chemical properties, increasing bacterial diversity, enriching biocontrol functional genera (e.g., Sphingomonas, Bacillus), and optimizing network topology. Under the experimental conditions, microalgae application at 28 mL·L ⁻¹ achieved the best performance, with a yield increase of 17.2% and a pathogen abundance reduction of 90.7%.
SN - 1664-302X
ER -