Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.
Center for the Physics of Evolving Systems, The University of Chicago, Chicago, IL, USA.
Nat Microbiol. 2024 Aug;9(8):2022-2037. doi: 10.1038/s41564-024-01752-4. Epub 2024 Jul 8.
Sequencing surveys of microbial communities in hosts, oceans and soils have revealed ubiquitous patterns linking community composition to environmental conditions. While metabolic capabilities restrict the environments suitable for growth, the influence of ecological interactions on patterns observed in natural microbiomes remains uncertain. Here we use denitrification as a model system to demonstrate how metagenomic patterns in soil microbiomes can emerge from pH-dependent interactions. In an analysis of a global soil sequencing survey, we find that the abundances of two genotypes trade off with pH; nar gene abundances increase while nap abundances decrease with declining pH. We then show that in acidic conditions strains possessing nar fail to grow in isolation but are enriched in the community due to an ecological interaction with nap genotypes. Our study provides a road map for dissecting how associations between environmental variables and gene abundances arise from environmentally modulated community interactions.
对宿主、海洋和土壤中的微生物群落进行测序调查,揭示了将群落组成与环境条件联系起来的普遍模式。虽然代谢能力限制了适合生长的环境,但生态相互作用对自然微生物组中观察到的模式的影响仍不确定。在这里,我们使用反硝化作用作为一个模型系统,来证明土壤微生物组中宏基因组模式如何从 pH 依赖性相互作用中出现。在对全球土壤测序调查的分析中,我们发现两种基因型的丰度随 pH 值而变化;nar 基因丰度随着 pH 值的降低而增加,nap 基因丰度随着 pH 值的降低而减少。然后我们表明,在酸性条件下,具有 nar 的菌株不能在分离状态下生长,但由于与 nap 基因型的生态相互作用,在群落中富集。我们的研究为剖析环境变量与基因丰度之间的关联如何从环境调节的群落相互作用中产生提供了路线图。