Inhibition of Potato Fusarium Wilt by Bacillus subtilis ZWZ-19 and Trichoderma asperellum PT-29: A Comparative Analysis of Non-Targeted Metabolomics

Potato Wilt is a soil-borne fungal disease that can seriously harm potatoes throughout their growth period and occurs at different degrees in major potato-producing areas in China. To reduce the use of chemical agents and improve the effect of biocontrol agents, the inhibitory effects of the ferment...

Full description

Saved in:
Bibliographic Details
Published in:Plants (Basel) 2024-03, Vol.13 (7), p.925
Main Authors: Hao, Jianxiu, Wang, Zhen, Zhao, Yuanzheng, Feng, Shujie, Cui, Zining, Zhang, Yinqiang, Wang, Dong, Zhou, Hongyou
Format: Article
Language:English
Subjects:
Amino acids
Bacillus subtilis
Bacillus subtilis ZWZ-19
Bacteria
Biological control
Broths
Chemical agents
Chromatography
Comparative analysis
Correlation analysis
Crop diseases
Fermentation
fermentation broth
Fungal diseases
Fungi
Fusarium
Fusarium oxysporum
Inoculation
Mass spectrometry
Metabolic pathways
Metabolites
Metabolomics
metabolomics analysis
Morphology
Plant diseases
potato Fusarium wilt
Potatoes
Scientific imaging
Trichoderma asperellum
Trichoderma asperellum PT-29
Vegetables
Wilt
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Potato Wilt is a soil-borne fungal disease that can seriously harm potatoes throughout their growth period and occurs at different degrees in major potato-producing areas in China. To reduce the use of chemical agents and improve the effect of biocontrol agents, the inhibitory effects of the fermentation broth of ZWZ-19 (B) and PT-29 (T) on were compared under single-culture and co-culture conditions. Furthermore, metabolomic analysis of the fermentation broths was conducted. The results showed that the inhibitory effect of the co-culture fermentation broth with an inoculation ratio of 1:1 (B1T1) was better than that of the separately cultured fermentation broths and had the best control effect in a potted experiment. Using LC-MS analysis, 134 metabolites were determined and classified into different types of amino acids. Furthermore, 10 metabolic pathways had the most significant variations, and 12 were related to amino acid metabolism in the KEGG analysis. A correlation analysis of the 79 differential metabolites generated through the comprehensive comparison between B, T, and B1T1 was conducted, and the results showed that highly abundant amino acids in B1T1 were correlated with amino acids in B, but not in T.
ISSN:2223-7747
2223-7747
DOI:10.3390/plants13070925