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微生物间的竞争排斥和代谢依赖关系构建了农业土壤的纤维素经济。

Competitive Exclusion and Metabolic Dependency among Microorganisms Structure the Cellulose Economy of an Agricultural Soil.

机构信息

School of Integrative Plant Sciences, Cornell University, Ithaca, New York, USA

School of Integrative Plant Sciences, Cornell University, Ithaca, New York, USA.

出版信息

mBio. 2021 Jan 5;12(1):e03099-20. doi: 10.1128/mBio.03099-20.

Abstract

Microorganisms that degrade cellulose utilize extracellular reactions that yield free by-products which can promote interactions with noncellulolytic organisms. We hypothesized that these interactions determine the ecological and physiological traits governing the fate of cellulosic carbon (C) in soil. We performed comparative genomics with genome bins from a shotgun metagenomic-stable isotope probing experiment to characterize the attributes of cellulolytic and noncellulolytic taxa accessing C from cellulose. We hypothesized that cellulolytic taxa would exhibit competitive traits that limit access, while noncellulolytic taxa would display greater metabolic dependency, such as signatures of adaptive gene loss. We tested our hypotheses by evaluating genomic traits indicative of competitive exclusion or metabolic dependency, such as antibiotic production, growth rate, surface attachment, biomass degrading potential, and auxotrophy. The most C-enriched taxa were cellulolytic () and (), which exhibited a strategy of self-sufficiency (prototrophy), rapid growth, and competitive exclusion via antibiotic production. Auxotrophy was more prevalent in cellulolytic than in cellulolytic , demonstrating differences in dependency among cellulose degraders. Noncellulolytic taxa that accessed C from cellulose (, , and ) were also more dependent, as indicated by patterns of auxotrophy and C labeling (i.e., partial labeling or labeling at later stages). Major C-labeled cellulolytic microbes (e.g., , and ) possessed adaptations for surface colonization (e.g., gliding motility, hyphae, attachment structures) signifying the importance of surface ecology in decomposing particulate organic matter. Our results demonstrated that access to cellulosic C was accompanied by ecological trade-offs characterized by differing degrees of metabolic dependency and competitive exclusion. Our study reveals the ecogenomic traits of microorganisms participating in the cellulose economy of soil. We identified three major categories of participants in this economy: (i) independent primary degraders, (ii) interdependent primary degraders, and (iii) secondary consumers (mutualists, opportunists, and parasites). Trade-offs between independent primary degraders, whose adaptations favor antagonism and competitive exclusion, and interdependent and secondary degraders, whose adaptations favor complex interspecies interactions, are expected to affect the fate of microbially processed carbon in soil. Our findings provide useful insights into the ecological relationships that govern one of the planet's most abundant resources of organic carbon. Furthermore, we demonstrate a novel gradient-resolved approach for stable isotope probing, which provides a cultivation-independent, genome-centric perspective into soil microbial processes.

摘要

能够降解纤维素的微生物利用细胞外反应,产生游离的副产品,这些副产品可以促进与非纤维素分解微生物的相互作用。我们假设这些相互作用决定了控制土壤中纤维素碳(C)命运的生态和生理特征。我们通过对来自鸟枪法宏基因组稳定同位素探测实验的基因组进行比较基因组学分析,来描述从纤维素中获取 C 的纤维素分解和非纤维素分解分类群的属性。我们假设纤维素分解分类群将表现出限制获取的竞争特征,而非纤维素分解分类群将表现出更大的代谢依赖性,例如适应性基因丧失的特征。我们通过评估表明竞争排斥或代谢依赖性的基因组特征来检验我们的假设,例如抗生素的产生、生长速度、表面附着、生物量降解潜力和营养缺陷型。最富含 C 的分类群是纤维素分解菌 ()和 (),它们表现出自给自足(原生营养型)、快速生长和通过抗生素产生进行竞争排斥的策略。纤维素分解菌中的营养缺陷型比纤维素分解菌中的更普遍,表明纤维素分解菌之间的依赖性存在差异。从纤维素中获取 C 的非纤维素分解分类群(、和)也更依赖于 C,这表现在营养缺陷型和 C 标记的模式上(即部分标记或在后期标记)。主要的 C 标记纤维素微生物(如、和)具有表面定殖的适应特性(如滑行运动、菌丝、附着结构),这表明表面生态学在分解颗粒有机物质方面的重要性。我们的结果表明,对纤维素 C 的获取伴随着生态权衡,其特征是不同程度的代谢依赖性和竞争排斥。我们的研究揭示了参与土壤纤维素经济的微生物的生态基因组特征。我们确定了参与这一经济的三个主要类别:(i)独立的初级降解者,(ii)相互依存的初级降解者,和(iii)次级消费者(共生体、机会主义者和寄生虫)。独立的初级降解者和相互依存的和次级降解者之间的权衡,独立的初级降解者的适应有利于拮抗和竞争排斥,而相互依存的和次级降解者的适应有利于复杂的种间相互作用,预计将影响微生物处理碳在土壤中的命运。我们的研究结果为控制地球上最丰富的有机碳资源之一的生态关系提供了有用的见解。此外,我们展示了一种新的梯度分辨稳定同位素探测方法,该方法为土壤微生物过程提供了一种无需培养、基于基因组的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d4/8545098/2f68f6f3e09c/mbio.03099-20-f0001.jpg

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