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

Cody S Madsen, Jeffrey A Kimbrel, Patrick Diep, Dante P Ricci
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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.
合成群落作为确定生物肥料底盘生物和本地微生物群落之间相互作用的模型
生物肥料对可持续农业至关重要,因为它们可以取代破坏生态的化肥,同时改善土壤和植物健康的轨迹。然而,为了改善部署,必须阐明和加强生物肥料在原生土壤群落中的持久性。我们描述了一种高通量,模块化和自动化友好的体外方法,用于筛选通过自上而下的培养过程获得的稳定合成土壤微生物群落(SynComs)共同培养后土壤衍生联合体中的生物肥料持久性。我们分析了从不同土壤来源和不同培养基类型中分离的约1200种SynComs,并在这些群落中检测到显著的系统发育多样性(例如Shannon指数&;gt;4)和丰富度(观察到的丰富度&;gt;400)。我们观察到在常见土壤和培养基类型中,SynCom群落结构具有很高的再现性,这为评估具有代表性的本地群落中生物肥料的持久性提供了一个测试平台。此外,我们证明了本文所述的筛选方法可以与微生物工程相结合,以有效地识别土壤来源的SynComs,其中工程生物肥料有机体(即枯草芽孢杆菌)持续存在。因此,我们发现枯草芽孢杆菌在大约10%遵循多样性入侵原则的syncom中持续存在。此外,我们的方法能够分析接种枯草芽孢杆菌对SynCom结构的生态影响,以及与转基因模式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的管道,可以集成到各种微生物学/微生物组相关的工作流程或相关应用程序中,这些应用程序将受益于评估特定生物体与本地联盟的持久性和相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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