随着时间的推移,隐杆线虫影响其天然苹果基质的微生物组和代谢组特征。

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2025-01-10 DOI:10.1128/msystems.01533-24
J Johnke, J Zimmermann, T Stegemann, D Langel, A Franke, L Thingholm, H Schulenburg
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引用次数: 0

摘要

宿主生物的微生物群与其直接来源环境密切相关,是塑造微生物群落动态的关键。这些相互关联的动力学之间的关系在很大程度上未被探索,因为源底物通常不可用。为了解决这一目前的知识差距,我们采用了嗜菌线虫作为一个独特的模型系统,其来源基质如腐烂的苹果可以很容易地收集。我们在德国基尔的植物园进行了为期2年的采样,比较了单一宿主微生物群与其对应的苹果源基质以及无线虫基质。我们发现,单个蠕虫具有独特的微生物组,与来自同一来源苹果的线虫重叠最强烈。与先前相关工作的比较表明,天然秀丽隐杆线虫分离物微生物组组成的变化受到获得蠕虫的基质类型(例如,水果或堆肥)的显著影响。我们目前的采样进一步表明,微生物组的组装主要是由扩散限制驱动的。重要的是,两种独立的分析方法一致表明,蠕虫微生物组显著影响苹果微生物组的特征,可能表明线虫构建了生态位。此外,结合苹果微生物组和代谢组数据,我们确定了指示果实成熟的个体微生物和特定化合物,它们与线虫的存在显著相关。总之,我们的研究阐明了宿主微生物群与其直接相连的底物微生物群之间的复杂关系。我们的分析强调了线虫微生物组对塑造苹果微生物组的重要影响,因此,水果的代谢能力,从而增强了我们对宿主-微生物组在其自然栖息地相互作用的总体理解。几乎所有复杂的生物体都是微生物群落的宿主,即微生物群。这种微生物群可以影响宿主的多种功能,如食品加工、抗寄生虫或发育。宿主和微生物群之间的关系主要取决于微生物群落的组装,而微生物群落可能是由直接相关环境中的微生物塑造的,即源微生物群。由于源基板的不可获得性,这种组装过程往往不被很好地理解。在这里,我们使用隐杆线虫作为模型系统,促进宿主和源微生物组的直接比较。基于2年的采样期,我们确定了(i)宿主和来源微生物组的组装动态之间存在明确的联系,(ii)线虫微生物组对苹果微生物组的显著影响,以及(iii)与采样基质中线虫存在相关的特定微生物和化合物。总的来说,我们的研究增强了我们对微生物组组装动力学和由此产生的功能的理解。
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Caenorhabditis nematodes influence microbiome and metabolome characteristics of their natural apple substrates over time.

The microbiomes of host organisms and their direct source environments are closely linked and key for shaping microbial community dynamics. The relationship between these linked dynamics is largely unexplored because source substrates are usually unavailable. To address this current knowledge gap, we employed bacteriovorous Caenorhabditis nematodes as a unique model system, for which source substrates like rotting apples can be easily collected. We compared single host microbiomes with their corresponding apple source substrates, as well as nematode-free substrates, over a 2-year sampling period in the botanical garden in Kiel, Germany. We found that single worms have unique microbiomes, which overlap most strongly with nematodes from the same source apple. A comparison to previous, related work revealed that variation in microbiome composition of natural Caenorhabditis isolates is significantly influenced by the substrate type, from which worms were obtained (e.g., fruits or compost). Our current sampling further showed that microbiome assembly is mostly driven by dispersal limitation. Importantly, two independent analysis approaches consistently suggest that worm microbiomes significantly influence characteristics of the apple microbiomes, possibly indicating niche construction by nematodes. Moreover, combining apple microbiome and metabolome data, we identified individual microbes and specific compounds indicative of fruit ripening that are significantly associated with nematode presence. In conclusion, our study elucidates the complex relationship between host microbiomes and their directly connected substrate microbiomes. Our analyses underscore the significant influence of nematode microbiomes on shaping the apple microbiome and, consequently, the fruit's metabolic capacity, thereby enhancing our general understanding of host-microbiome interactions in their natural habitat.IMPORTANCEAlmost all complex organisms are host to a microbial community, the microbiome. This microbiome can influence diverse host functions, such as food processing, protection against parasites, or development. The relationship between host and microbiome critically depends on the assembly of the microbial community, which may be shaped by microbes in the directly linked environment, the source microbiome. This assembly process is often not well understood because of the unavailability of source substrates. Here, we used Caenorhabditis nematodes as a model system that facilitates a direct comparison of host and source microbiomes. Based on a 2-year sampling period, we identified (i) a clear link between assembly dynamics of host and source microbiomes, (ii) a significant influence of nematode microbiomes on apple microbiomes, and (iii) specific microbes and compounds that are associated with the presence of nematodes in the sampled substrates. Overall, our study enhances our understanding of microbiome assembly dynamics and resulting functions.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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