定量稳定同位素探测(qSIP)和跨域网络揭示了细菌-真菌在水球中的相互作用。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Giovana S Slanzon, Mengting Yuan, Katerina Estera-Molina, Aaron Chew, Steve J Blazewicz, Michael Allen, Mary K Firestone, Jennifer Pett-Ridge, Nhu H Nguyen
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引用次数: 0

摘要

背景:真菌和细菌之间的相互作用有可能实质性地影响土壤中的土壤碳动态,但我们尚未完全确定这些相互作用及其在自然环境中的伙伴。在本研究中,我们将13C定量稳定同位素探测(qSIP)和跨域共现网络(cross-domain co-occurrence network)两种强大的方法组合在一起,以鉴定加州草地土壤中的真菌和细菌。我们使用田间整株13CO2标记以及填满沙子的生长袋(用于捕获真菌和菌丝相关细菌)来放大真菌-细菌相互作用的信号,将其与大块土壤背景分开。结果:共发现54个细菌asv和9个真菌OTUs显著富集13c。这些是腐养型和生物养型真菌,以及活动的,有时是掠食性细菌。在这些细菌中,70%的富含13c的细菌是可移动的。值得注意的是,我们检测到Alternaria属的真菌OTU与Bacteriovorax、Mucilaginibacter和Flavobacterium属的几种细菌asv之间存在真菌-细菌网络连接,为它们通过C交换直接相互作用提供了经验证据。我们观察到蛭弧菌门的掠食性细菌和真菌OTUs之间存在强烈的正共生模式,表明C在土壤食物网中的转移。结论:迄今为止,我们将微生物共发生网络模式与生物相互作用联系起来的能力是有限的,但是qSIP的结合使我们能够通过缩小积极结合植物固定,真菌运输的标记底物的分类群,更精确地检测相互作用的伙伴。总之,这些方法可以帮助建立对土壤中真菌-细菌相互作用的复杂性质的机械理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative stable isotope probing (qSIP) and cross-domain networks reveal bacterial-fungal interactions in the hyphosphere.

Background: Interactions between fungi and bacteria have the potential to substantially influence soil carbon dynamics in soil, but we have yet to fully identify these interactions and partners in their natural environment. In this study, we stacked two powerful methods, 13C quantitative stable isotope probing (qSIP) and cross-domain co-occurrence network, to identify interacting fungi and bacteria in a California grassland soil. We used in-field whole plant 13CO2 labeling along with sand-filled ingrowth bags (that trap fungi and hyphae-associated bacteria) to amplify the signal of fungal-bacterial interactions, separate from the bulk soil background.

Results: We found a total of 54 bacterial ASVs and 9 fungal OTUs that were significantly 13C-enriched. These were saprotrophic and biotrophic fungi, and motile, sometimes predatory bacteria. Among these, 70% of all 13C-enriched bacteria identified were motile. Notably, we detected fungal-bacterial network links between a fungal OTU of the genus Alternaria and several bacterial ASVs of the genera Bacteriovorax, Mucilaginibacter, and Flavobacterium, providing empirical evidence of their direct interactions through C exchange. We observed a strong positive co-occurrence pattern between predatory bacteria of the phylum Bdellovibrionota and fungal OTUs, suggesting the transfer of C across the soil food web.

Conclusions: To date, our ability to associate microbial co-occurrence network patterns with biological interactions is limited, but the incorporation of qSIP allowed us to more precisely detect interacting partners by narrowing in on the taxa that were actively incorporating plant-fixed, fungal-transported labeled substrates. Together, these approaches can help build a mechanistic understanding of the complex nature of fungal-bacterial interactions in soil.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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