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Microecological shifts govern the fostering of soil and crop pathogens in agro-ecosystems under different fertilization regimes

文献类型： 外文期刊

作者： Dandan Zhang;Jie Li;Yan Jiang;Yujun Wang;Guilong Zhang;Yan Xu

作者机构：

关键词： Crop;Fertilization regime;Microecological stability;Pathogenic bacteria;Soil

期刊名称： Journal of Environmental Management

ISSN： 0301-4797

年卷期： 2025 年 374 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Pathogenic bacteria in agroecosystems have been of great concern because of their threat to crop and human health. This study aimed to understand how the microecological environment created by different fertilization regimes affects the fate of soil and crop pathogenic microorganisms. The situation of soil and crop pathogenic bacteria in different ecosystems was explored by setting up seven different fertilization treatments. Network modularization and cohesion index analyses demonstrated that microbial networks were least stable in the 100% chemical fertilizer treatment. Regarding microbial community evolution, as the percentage of chemical fertilizer application increased, microbial evolution gradually shifted from the K-strategy to the r-strategy, implying that environmental microorganisms following chemical fertilizer application increase were primarily developed to enhance survival and reproduction, which in turn increased the occurrence of pathogenic bacteria. Compared to soils treated with 100% organic fertilizer (T1), the relative abundance of the pathogenic bacteria Gemmatimonas, Gaiella, and Gemmatirosa in soils treated with 100% chemical fertilizer (T6) increased by 74.09%, 18.01%, and 61.18%, respectively. Additionally, 100% chemical fertilizer application showed the highest diversity of soil pathogens and an enhanced microbial “Matthew effect” in roots. Structural equation modeling revealed that variations in soil microbial communities and pathogenic bacteria had a marked influence on the occurrence of crop pathogens. This study provides microecological evidence for the prevalence of pathogenic bacteria under different fertilization conditions and provides important theoretical and practical insights for optimal agroecosystem management.

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