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利用工程化油籽微生物群协同作用修复盐碱地

Engineering Oilseed Microbiome Synergy for Saline Alkaline Soil Restoration.

作者信息

Ma Shijie, Tang Tong, Du Chang, Yang Zheng, Gan Binjie

机构信息

Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.

Department of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, 15001 A Coruña, Spain.

出版信息

Plants (Basel). 2025 Jul 16;14(14):2197. doi: 10.3390/plants14142197.

Abstract

Soil salinization poses a critical threat to global agriculture, necessitating innovative strategies for sustainable remediation. This review synthesizes advances in leveraging plant-microbe interactions to remediate saline-alkali soils, focusing on oilseed crops-, , , , and -as keystone species for ecosystem restoration. These crops exhibit unique adaptive strategies, including root architectural plasticity and exudate-mediated recruitment of stress-resilient microbiomes (Proteobacteria, Actinobacteria, and Ascomycota), which collectively stabilize soil structure and enhance nutrient cycling, ion homeostasis, and soil aggregation to mitigate soil salinity and alkalinity. Emerging technologies further amplify these natural synergies: nanomaterials optimize nutrient delivery and microbial colonization, while artificial intelligence (AI) models predict optimal plant growth-promoting rhizobacteria (PGPR) combinations and simulate remediation outcomes. This integration establishes a roadmap for precision microbiome engineering, offering scalable strategies to restore soil health and ensure food security in saline-alkali ecosystems.

摘要

土壤盐渍化对全球农业构成了严峻威胁,因此需要创新的可持续修复策略。本综述综合了利用植物-微生物相互作用修复盐碱地的进展,重点关注将油料作物、、、和作为生态系统恢复的关键物种。这些作物展现出独特的适应策略,包括根系结构可塑性以及通过分泌物介导招募抗逆性微生物群落(变形菌门、放线菌门和子囊菌门),这些共同作用稳定土壤结构并增强养分循环、离子稳态和土壤团聚,以减轻土壤盐碱化。新兴技术进一步放大了这些自然协同作用:纳米材料优化养分输送和微生物定殖,而人工智能(AI)模型预测最佳促植物生长根际细菌(PGPR)组合并模拟修复结果。这种整合为精准微生物群落工程制定了路线图,提供了可扩展的策略来恢复土壤健康并确保盐碱生态系统中的粮食安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9418/12300136/9f8d81fcbe17/plants-14-02197-g001.jpg

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