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覆盖作物根系分泌物影响农业土壤中土壤微生物组功能轨迹。

Cover crop root exudates impact soil microbiome functional trajectories in agricultural soils.

机构信息

Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, 80523, USA.

Program in Cell and Molecular Biology, Colorado State University, Fort Collins, CO, 80523, USA.

出版信息

Microbiome. 2024 Sep 28;12(1):183. doi: 10.1186/s40168-024-01886-x.

Abstract

BACKGROUND

Cover cropping is an agricultural practice that uses secondary crops to support the growth of primary crops through various mechanisms including erosion control, weed suppression, nutrient management, and enhanced biodiversity. Cover crops may elicit some of these ecosystem services through chemical interactions with the soil microbiome via root exudation, or the release of plant metabolites from roots. Phytohormones are one metabolite type exuded by plants that activate the rhizosphere microbiome, yet managing this chemical interaction remains an untapped mechanism for optimizing plant-soil-microbiome interactions. Currently, there is limited understanding on the diversity of cover crop phytohormone root exudation patterns and our aim was to understand how phytochemical signals selectively enrich specific microbial taxa and functionalities in agricultural soils.

RESULTS

Here, we link variability in cover crop root exudate composition to changes in soil microbiome functionality. Exudate chemical profiles from 4 cover crop species (Sorghum bicolor, Vicia villosa, Brassica napus, and Secale cereal) were used as the chemical inputs to decipher microbial responses. These distinct exudate profiles, along with a no exudate control, were amended to agricultural soil microcosms with microbial responses tracked over time using metabolomes and genome-resolved metatranscriptomes. Our findings illustrated microbial metabolic patterns were unique in response to cover crop exudate inputs over time, particularly by sorghum and cereal rye amended microcosms. In these microcosms, we identify novel microbial members (at the genera and family level) who produced IAA and GA over time. Additionally, we identified cover crop exudates exclusively enriched for bacterial nitrite oxidizers, while control microcosms were discriminated for nitrogen transport, mineralization, and assimilation, highlighting distinct changes in microbial nitrogen cycling in response to chemical inputs.

CONCLUSIONS

We highlight that root exudate amendments alter microbial community function (i.e., N cycling) and microbial phytohormone metabolisms, particularly in response to root exudates isolated from cereal rye and sorghum plants. Additionally, we constructed a soil microbial genomic catalog of microorganisms responding to commonly used cover crops, a public resource for agriculturally relevant microbes. Many of our exudate-stimulated microorganisms are representatives from poorly characterized or novel taxa, revealing the yet to be discovered metabolic reservoir harbored in agricultural soils. Our findings emphasize the tractability of high-resolution multi-omics approaches to investigate processes relevant for agricultural soils, opening the possibility of targeting specific soil biogeochemical outcomes through biological precision agricultural practices that use cover crops and the microbiome as levers for enhanced crop production. Video Abstract.

摘要

背景

覆盖作物是一种农业实践,通过各种机制(包括控制侵蚀、抑制杂草、养分管理和增强生物多样性)利用次生作物来支持主要作物的生长。覆盖作物可能通过根分泌物或植物代谢物从根部释放,通过与土壤微生物组的化学相互作用来引发其中一些生态系统服务。植物激素是植物分泌的一种代谢物类型,它通过根际微生物组激活植物激素,然而,管理这种化学相互作用仍然是优化植物-土壤-微生物组相互作用的一个未开发的机制。目前,对覆盖作物根分泌物中植物激素分泌模式的多样性的理解有限,我们的目标是了解植物化学信号如何选择性地富集农业土壤中的特定微生物类群和功能。

结果

在这里,我们将覆盖作物根分泌物组成的可变性与土壤微生物组功能的变化联系起来。来自 4 种覆盖作物(高粱、野豌豆、油菜和黑麦)的根分泌物化学特征被用作化学输入,以破译微生物的反应。这些不同的分泌物特征,以及没有分泌物的对照,被添加到农业土壤微宇宙中,随着时间的推移,使用代谢组学和基因组解析的宏转录组学来跟踪微生物的反应。我们的研究结果表明,微生物的代谢模式随着时间的推移对覆盖作物分泌物输入的反应是独特的,特别是在高粱和黑麦种植的微宇宙中。在这些微宇宙中,我们确定了一些新的微生物成员(在属和科水平上),它们随着时间的推移产生了 IAA 和 GA。此外,我们发现,只有覆盖作物的分泌物专门富集了亚硝酸盐氧化菌,而对照微宇宙则因氮的运输、矿化和同化而有区别,这突出了微生物氮循环对化学输入的不同反应。

结论

我们强调,根分泌物的添加改变了微生物群落的功能(即氮循环)和微生物植物激素代谢,特别是在对来自黑麦和高粱植物的根分泌物的反应中。此外,我们构建了一个土壤微生物基因组目录,其中包含对常用覆盖作物有反应的微生物,这是一个与农业相关微生物的公共资源。我们许多受分泌物刺激的微生物都是来自于描述较少或新型的分类群的代表,这揭示了农业土壤中尚未被发现的代谢库。我们的研究结果强调了高分辨率多组学方法用于研究农业土壤中相关过程的可行性,为通过使用覆盖作物和微生物组作为增强作物生产的杠杆来实现农业精准化实践,从而针对特定的土壤生物地球化学结果提供了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f53/11439266/0f1112b3be41/40168_2024_1886_Fig1_HTML.jpg

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