Microbiome metabolic capacity is buffered against phylotype losses by functional redundancy.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied and Environmental Microbiology Pub Date : 2025-02-19 Epub Date: 2025-01-30 DOI:10.1128/aem.02368-24
Kayla Cross, Noelle Beckman, Benjamin Jahnes, Zakee L Sabree
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Abstract

Many animals contain a species-rich and diverse gut microbiota that likely contributes to several host-supportive services that include diet processing and nutrient provisioning. Loss of microbiome taxa and their associated metabolic functions as result of perturbations may result in loss of microbiome-level services and reduction of metabolic capacity. If metabolic functions are shared by multiple taxa (i.e., functional redundancy), including deeply divergent lineages, then the impact of taxon/function losses may be dampened. We examined to what degree alterations in phylotype diversity impact microbiome-level metabolic capacity. Feeding two nutritionally imbalanced diets to omnivorous Periplaneta americana over 8 weeks reduced the diversity of their phylotype-rich gut microbiomes by ~25% based on 16S rRNA gene amplicon sequencing, yet PICRUSt2-inferred metabolic pathway richness was largely unaffected due to their being polyphyletic. We concluded that the nonlinearity between taxon and metabolic functional losses is due to microbiome members sharing many well-characterized metabolic functions, with lineages remaining after perturbation potentially being capable of preventing microbiome "service outages" due to functional redundancy.

Importance: Diet can affect gut microbiome taxonomic composition and diversity, but its impacts on community-level functional capabilities are less clear. Host health and fitness are increasingly being linked to microbiome composition and further modeling of the relationship between microbiome taxonomic and metabolic functional capability is needed to inform these linkages. Invertebrate animal models like the omnivorous American cockroach are ideal for this inquiry because they are amenable to various diets and provide high replicates per treatment at low costs and thus enabling rigorous statistical analyses and hypothesis testing. Microbiome taxonomic composition is diet-labile and diversity was reduced after feeding on unbalanced diets (i.e., post-treatment), but the predicted functional capacities of the post-treatment microbiomes were less affected likely due to the resilience of several abundant taxa surviving the perturbation as well as many metabolic functions being shared by several taxa. These results suggest that both taxonomic and functional profiles should be considered when attempting to infer how perturbations are altering gut microbiome services and possible host outcomes.

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微生物组的代谢能力通过功能冗余来缓冲种型损失。
许多动物都含有丰富多样的肠道微生物群,可能有助于多种宿主支持服务,包括饮食加工和营养供应。微生物群分类群及其相关代谢功能的丧失可能导致微生物群水平服务的丧失和代谢能力的降低。如果代谢功能被多个分类群共享(即功能冗余),包括深度分化的谱系,那么分类群/功能损失的影响可能会受到抑制。我们研究了种型多样性的改变在多大程度上影响微生物组水平的代谢能力。根据16S rRNA基因扩增子测序,给杂食性美洲大planeta喂食两种营养不均衡的食物超过8周,使其富含种型的肠道微生物组的多样性减少了25%,但picrust2推断的代谢途径丰富度在很大程度上未受影响,因为它们是多种的。我们得出结论,分类群和代谢功能损失之间的非线性是由于微生物组成员共享许多特征明确的代谢功能,而在扰动后保留的谱系可能能够防止微生物组因功能冗余而“服务中断”。重要性:饮食可以影响肠道微生物组的分类组成和多样性,但其对群落水平功能能力的影响尚不清楚。宿主的健康和适应性越来越多地与微生物组组成联系在一起,需要进一步建立微生物组分类和代谢功能能力之间的关系模型来为这些联系提供信息。无脊椎动物模型,如杂食性美洲蟑螂,是这项研究的理想选择,因为它们可以适应各种饮食,每次治疗以低成本提供高重复,从而能够进行严格的统计分析和假设检验。微生物组的分类组成是不稳定的,在饲喂不平衡的饲料(即处理后)后,多样性降低,但处理后微生物组的预测功能能力受到的影响较小,这可能是由于几个丰富的分类群在扰动中幸存下来的弹性,以及几个分类群共享许多代谢功能。这些结果表明,在试图推断扰动如何改变肠道微生物组服务和可能的宿主结果时,应考虑分类学和功能谱。
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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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