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宏基因组学揭示了农田和草地土壤中微生物群落对添加小麦秸秆的不同响应。

Metagenomics reveals contrasted responses of microbial communities to wheat straw amendment in cropland and grassland soils.

作者信息

Jarrige Domitille, Tardy Vincent, Loux Valentin, Rué Olivier, Chabbi Abad, Terrat Sébastien, Maron Pierre-Alain

机构信息

Agroécologie, INRAE, Université de Bourgogne, Institut Agro, Université de Bourgogne Franche-Comté, Dijon, F-21000, France.

Université Paris Saclay, INRAE, Jouy-en-Josas, MaIAGE, France.

出版信息

Sci Rep. 2025 Apr 27;15(1):14723. doi: 10.1038/s41598-025-98903-2.

DOI:10.1038/s41598-025-98903-2
PMID:40289152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12034817/
Abstract

Soil microbial communities respond quickly to natural and/or anthropic-induced changes in environmental conditions. Metagenomics allows studying taxa that are often overlooked in microbiota studies, such as protists or viruses. Here, we employed metagenomics to characterise microbial successions after wheat straw input in a 4-month in-situ field study. We compared microbial successions patterns with those obtained by high throughput amplicon sequencing on the same soil samples to validate metagenomics as a tool for the fine analysis of microbial population dynamics in situ. Taxonomic patterns were concordant between the two methodologies but metagenomics allowed studying all the microbial groups simultaneously. Notably, our results evidenced that each domain displayed a specific dynamic pattern after wheat straw amendment. For instance, viral sequences multiplied in the early phase of straw decomposition, in parallel to copiotrophic bacteria, suggesting a "kill-the-winner" pattern that, to our knowledge, had not been observed before in soil. Altogether, our results highlighted that both inter and intra-domain trophic interactions were impacted by wheat amendment and these patterns depended on the land use history. Our study highlights that top-down regulation by microbial predators or viruses might play a key role in soil microbiota dynamics and structure.

摘要

土壤微生物群落对环境条件的自然和/或人为引起的变化反应迅速。宏基因组学能够研究在微生物群研究中常常被忽视的分类群,如原生生物或病毒。在此,我们采用宏基因组学方法,在一项为期4个月的原位田间研究中,对小麦秸秆输入后的微生物演替进行了表征。我们将微生物演替模式与通过对相同土壤样本进行高通量扩增子测序获得的模式进行比较,以验证宏基因组学作为原位精细分析微生物种群动态的工具的有效性。两种方法的分类模式是一致的,但宏基因组学能够同时研究所有微生物类群。值得注意的是,我们的结果表明,在添加小麦秸秆后,每个域都呈现出特定的动态模式。例如,病毒序列在秸秆分解的早期阶段与富营养细菌同时增加,这表明存在一种“杀死赢家”的模式,据我们所知,这种模式在土壤中此前尚未被观察到。总之,我们的结果强调,域间和域内的营养相互作用都受到小麦添加的影响,并且这些模式取决于土地利用历史。我们的研究强调,微生物捕食者或病毒的自上而下的调控可能在土壤微生物群动态和结构中起关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/5bf5d8fd80c4/41598_2025_98903_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/213738452c74/41598_2025_98903_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/7c53928f5881/41598_2025_98903_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/8180f899923d/41598_2025_98903_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/5bf5d8fd80c4/41598_2025_98903_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/213738452c74/41598_2025_98903_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/7c53928f5881/41598_2025_98903_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/8180f899923d/41598_2025_98903_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c18f/12034817/5bf5d8fd80c4/41598_2025_98903_Fig4_HTML.jpg

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Differential responses of soil microbial biomass, diversity and interactions to land use intensity at a territorial scale.从地域尺度上研究土地利用强度对土壤微生物生物量、多样性和相互作用的差异响应。
Sci Total Environ. 2024 Jan 1;906:167454. doi: 10.1016/j.scitotenv.2023.167454. Epub 2023 Sep 30.
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Metagenomics Provides a Deeper Assessment of the Diversity of Bacterial Communities in Polar Soils Than Metabarcoding.
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Genes (Basel). 2023 Mar 28;14(4):812. doi: 10.3390/genes14040812.
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Metagenomics and metabarcoding experimental choices and their impact on microbial community characterization in freshwater recirculating aquaculture systems.宏基因组学和代谢条形码技术的实验选择及其对淡水循环水养殖系统中微生物群落特征的影响。
Environ Microbiome. 2023 Feb 14;18(1):8. doi: 10.1186/s40793-023-00459-z.
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Paleo-diatom composition from Santa Barbara Basin deep-sea sediments: a comparison of 18S-V9 and diat-rbcL metabarcoding vs shotgun metagenomics.圣巴巴拉盆地深海沉积物中的古硅藻组成:18S-V9和硅藻rbcL宏条形码与鸟枪法宏基因组学的比较
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