Abstract
Introducing probiotics to soil is a sustainable way to stimulate the production of plant metabolites. However, the soil-resident microbes may compromise the efficiency of probiotics. To date, it remains challenging to integrate the effects of probiotics on plant performance with soil microbiome changes. Using Cyclocarya paliurus (Batal.) Iljinsk as a model medicinal plant and two types of probiotic consortia combined with organic fertilizer at three levels (low: 0.5, medium: 1.0, and high: 1.5 kg·plant−1), we examined the impacts of three fertilization regimes (O: organic fertilizer, OMF: O coupled with Bacillus megaterium and Pseudomonas fluorescens, OCB: O coupled with Azotobacter chroococcum and Azospirillum brasilense) on plant metabolites and nutrient stoichiometry after three-year applications and identified the key soil microbes relating to the accumulation of plant metabolites via generalized joint attribute model (GJAM) analysis. Our results indicated that the concentration of flavonoids reached 36.9 mg·g−1 in OCB treatment at a low level, and 30.0 mg·g−1 in OMF treatment at a medium level, both were significantly higher than that in O treatment (25.8 mg·g−1 on average). Furthermore, the accumulations of metabolites were associated with plant nutrient acquisition and C: N: P stoichiometry. GJAM analysis showed that higher fertilizer levels restricted the influence of probiotic consortia on the variance of plant-soil-microbe system, with fewer differences observed between fertilizer types. Specific soil microbes were predicted as potential indicators that may assist or impede the effects of probiotics on plant metabolite production. The predictions were further tested in a comparative pot experiment, and the effects of common indicators in both pot and field experiments were consistently associated with probiotics’ addition. This study reveals that the effects of probiotics on plant metabolites are associated with fertilization regimes and soil-indigenous microbes. Identifying microbial indicators will help to understand the probiotics' effects and further improve plant productivity.
Original language | English |
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Article number | 115138 |
Number of pages | 11 |
Journal | Industrial Crops and Products |
Volume | 185 |
DOIs | |
Publication status | Published - 1 Oct 2022 |
Bibliographical note
Funding Information:This research was supported by the Natural Science Foundation of Jiangsu Province , China (No. BK20200771 ), the National Natural Science Foundation of China (No. 32071750 ), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China. Zhikang Wang was supported by the China Scholarship Council (CSC).
Publisher Copyright:
© 2022 Elsevier B.V.
Funding
This research was supported by the Natural Science Foundation of Jiangsu Province , China (No. BK20200771 ), the National Natural Science Foundation of China (No. 32071750 ), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China. Zhikang Wang was supported by the China Scholarship Council (CSC).
Keywords
- Generalized joint attribute model
- Microbial indicator
- Plant metabolites
- Plant probiotics
- Soil microbiome