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合成群落作为一种用于确定生物肥料底盘生物体与天然微生物群落之间相互作用的模型。

Synthetic communities as a model for determining interactions between a biofertilizer chassis organism and native microbial consortia.

作者信息

Madsen Cody S, Kimbrel Jeffrey A, Diep Patrick, Ricci Dante P

机构信息

Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, United States.

Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94550, United States.

出版信息

ISME J. 2025 Aug 7. doi: 10.1093/ismejo/wraf170.

Abstract

Biofertilizers are critical for sustainable agriculture since they can replace ecologically disruptive chemical fertilizers while improving the trajectory of soil and plant health. Yet, for improving deployment, the persistence of biofertilizers within native soil consortia must be elucidated and enhanced. We describe a high-throughput, modular, and automation-friendly in vitro approach to screen for biofertilizer persistence within soil-derived consortia after co-cultivation with stable synthetic soil microbial communities (SynComs) obtained through a top-down cultivation process. We profiled ~1200 SynComs isolated from various soil sources and cultivated in divergent media types, and detected significant phylogenetic diversity (e.g., Shannon index >4) and richness (observed richness >400) across these communities. We observed high reproducibility in SynCom community structure from common soil and media types, which provided a testbed for assessing biofertilizer persistence within representative native consortia. Furthermore, we demonstrated the screening method described herein can be coupled with microbial engineering to efficiently identify soil-derived SynComs where an engineered biofertilizer organism (i.e. Bacillus subtilis) persists. Accordingly, we discovered that B. subtilis persisted in approximately 10% of SynComs that generally followed the diversity-invasion principle. Additionally, our approach enables analysis of the ecological impact of B. subtilis inoculation on SynCom structure and profile alterations in community diversity and richness associated with the presence of a genetically modified model bacterium. Ultimately, this work establishes a modular pipeline that could be integrated into a variety of microbiology/microbiome-relevant workflows or related applications that would benefit from assessing persistence and interaction of a specific organism of interest with native consortia.

摘要

生物肥料对可持续农业至关重要,因为它们可以替代对生态有破坏作用的化学肥料,同时改善土壤和植物健康状况。然而,为了更好地应用生物肥料,必须阐明并增强其在原生土壤群落中的持久性。我们描述了一种高通量、模块化且便于自动化操作的体外方法,用于在与通过自上而下培养过程获得的稳定合成土壤微生物群落(SynComs)共培养后,筛选生物肥料在土壤衍生群落中的持久性。我们对从各种土壤来源分离并在不同培养基类型中培养的约1200个SynComs进行了分析,检测到这些群落具有显著的系统发育多样性(例如,香农指数>4)和丰富度(观察到的丰富度>400)。我们观察到来自常见土壤和培养基类型的SynCom群落结构具有高度可重复性,这为评估生物肥料在代表性原生群落中的持久性提供了一个试验平台。此外,我们证明本文所述的筛选方法可以与微生物工程相结合,以有效地识别工程化生物肥料生物体(即枯草芽孢杆菌)能够持续存在的土壤衍生SynComs。因此,我们发现枯草芽孢杆菌在大约10%的SynComs中持续存在,这些SynComs通常遵循多样性入侵原则。此外,我们的方法能够分析枯草芽孢杆菌接种对SynCom结构的生态影响,以及与转基因模型细菌存在相关的群落多样性和丰富度的变化。最终,这项工作建立了一个模块化流程,该流程可以整合到各种与微生物学/微生物组相关的工作流程或相关应用中,这些工作流程或应用将受益于评估特定目标生物体与原生群落的持久性和相互作用。

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