Pseudostellaria heterophylla cultivar mixtures driven changes in rhizosphere metabolites to suppress soil-borne Fusarium disease

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agriculture, Ecosystems & Environment Pub Date : 2025-03-01 Epub Date: 2024-11-30 DOI:10.1016/j.agee.2024.109409
Yuting Liu , Yixuan Zhang , Xingyue Wang , Panpan Dang , Antonino Malacrinò , Jiaoyang Zhang , Zhong Li , Christopher Rensing , Zhongyi Zhang , Wenxiong Lin , Zhen Zhang , Hongmiao Wu
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Abstract

Crop diversification contributes to a decrease in soil-borne crop diseases, as well as an increase in agricultural productivity. However, few studies have investigated the changes in the composition of the rhizosphere microbial communities and rhizosphere metabolites, as well as their suppressive effect on soil-borne diseases under different crop cultivar mixture regimes. We carried out a series of experiments to assess changes in the rhizosphere microbial community and metabolites profile under different Pseudostellaria heterophylla cultivar mixture cultivation in consecutive monoculture fields by employing amplicon metagenomics (16S rRNA, ITS, and 18S rRNA) and non-targeted metabolomics. The impact of key metabolites on pathogenic Fusarium oxysporum, crop growth, and soil microorganisms was assessed under controlled conditions. Our study indicated that the cultivar mixtures improved the P. heterophylla performance, increased the fresh root biomass by 81.9–115.4 % and the heterophyllin B content by 35 % compared to the consecutive monoculture, respectively. Cultivar mixtures increased the abundance of beneficial bacteria (Lactobacillus, Pseudomonas, Nitrosospira) and consumer protists, and decreased the abundance of pathogenic fungal genera (Fusarium, Alternaria, Curvularia, Stemphylium, Gibberella). The qPCR results indicated that the cultivar mixtures significantly decreased the abundance of pathogenic F. oxysporum by 64.0–84.3 % compared to the consecutive monoculture treatment. Non-targeted metabolomics analysis showed that the cultivar mixtures significantly altered the soil metabolite profiles, and increased the contents of d-galactose, galactinol, d-sorbitol, glycerol, melibiose, D-fructose and D-tagatose. Subsequently, the key upregulated metabolites (glycerol, d-fructose, gluconic acid, quinic acid, and l-valine), identified through the random forest analysis, significantly inhibited the growth of F. oxysporum. The crucial metabolites in the presence of a pathogen (F. oxysporum) and single metabolite treatment significantly increased the biomass, SOD and CAT activity and decreased the POD and MAD activity of P. heterophylla compared to FOP (F. oxysporum treatment). Furthermore, the crucial metabolites under pathogen treatment significantly lowered the abundance of total fungi and F. oxysporum and increased the abundance of Pseudomonas spp. compared to FOP. Therefore, our study was able to emphasize the efficacy of using cultivar mixtures to combat soil-borne Fusarium disease through the modulation of rhizosphere metabolites.
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杂太子参通过改变根际代谢物抑制土传镰刀菌病
作物多样化有助于减少土壤传播的作物疾病,并提高农业生产力。然而,很少有研究调查不同品种混合制度下根际微生物群落和根际代谢物组成的变化及其对土传病害的抑制作用。采用扩增子宏基因组学(16S rRNA、ITS和18S rRNA)和非靶向代谢组学方法,研究了在单作连作条件下不同杂参品种混合栽培根际微生物群落和代谢物谱的变化。在控制条件下,评估了关键代谢物对致病性尖孢镰刀菌、作物生长和土壤微生物的影响。研究表明,与连作相比,混栽提高了杂叶的产量,鲜根生物量提高了81.9 ~ 115.4 %,杂叶碱B含量提高了35 %。混合栽培提高了有益菌(乳酸菌、假单胞菌、亚硝化螺旋菌)和消费原生菌的丰度,降低了致病性真菌属(镰刀菌、Alternaria、曲霉菌、Stemphylium、赤霉素)的丰度。qPCR结果表明,与连续单一栽培相比,混合栽培显著降低致病性镰孢菌的丰度,降幅达64.0 ~ 84.3 %。非靶向代谢组学分析表明,混合栽培显著改变了土壤代谢物谱,增加了d-半乳糖、半乳糖醇、d-山梨醇、甘油、蜜利二糖、d-果糖和d-塔格糖的含量。随后,通过随机森林分析发现,关键的上调代谢物(甘油、d-果糖、葡萄糖酸、奎宁酸和l-缬氨酸)显著抑制了尖孢镰刀菌的生长。病原菌和单一代谢物处理均显著提高了异叶参生物量、SOD和CAT活性,降低了POD和MAD活性。此外,与FOP相比,病原菌处理下的关键代谢物显著降低了总真菌和尖孢菌的丰度,增加了假单胞菌的丰度。因此,我们的研究能够强调使用品种混合物通过调节根际代谢物来对抗土传镰刀菌病的功效。
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来源期刊
Agriculture, Ecosystems & Environment
Agriculture, Ecosystems & Environment 环境科学-环境科学
CiteScore
11.70
自引率
9.10%
发文量
392
审稿时长
26 days
期刊介绍: Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.
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