Crocker Kyle, Lee Kiseok Keith, Chakraverti-Wuerthwein Milena, Li Zeqian, Tikhonov Mikhail, Mani Madhav, Gowda Karna, Kuehn Seppe
Department of Ecology and Evolution, The University of Chicago, Chicago, IL 60637, USA.
Center for the Physics of Evolving Systems, The University of Chicago, Chicago, IL 60637, USA.
bioRxiv. 2023 Nov 15:2023.05.31.542950. doi: 10.1101/2023.05.31.542950.
Microbial metabolism sustains life on Earth. Sequencing surveys of communities in hosts, oceans, and soils have revealed ubiquitous patterns linking the microbes present, the genes they possess, and local environmental conditions. One prominent explanation for these patterns is environmental filtering: local conditions select strains with particular traits. However, filtering assumes ecological interactions do not influence patterns, despite the fact that interactions can and do play an important role in structuring communities. Here, we demonstrate the insufficiency of the environmental filtering hypothesis for explaining global patterns in topsoil microbiomes. Using denitrification as a model system, we find that the abundances of two characteristic genotypes trade-off with pH; gene abundances increase while abundances decrease with declining pH. Contradicting the filtering hypothesis, we show that strains possessing the Nar genotype are enriched in low pH conditions but fail to grow alone. Instead, the dominance of Nar genotypes at low pH arises from an ecological interaction with Nap genotypes that alleviates nitrite toxicity. Our study provides a roadmap for dissecting how global associations between environmental variables and gene abundances arise from environmentally modulated community interactions.
微生物代谢维持着地球上的生命。对宿主、海洋和土壤中群落的测序调查揭示了将现存微生物、它们拥有的基因和当地环境条件联系起来的普遍模式。对这些模式的一个突出解释是环境过滤:当地条件选择具有特定性状的菌株。然而,过滤假设生态相互作用不会影响模式,尽管事实上相互作用能够且确实在构建群落中发挥重要作用。在这里,我们证明了环境过滤假说不足以解释表层土壤微生物群落的全球模式。以反硝化作用作为一个模型系统,我们发现两种特征基因型的丰度与pH值呈权衡关系;随着pH值下降,基因丰度增加而[此处原文缺失部分内容]丰度降低。与过滤假说相反,我们表明具有Nar基因型的菌株在低pH条件下富集,但无法单独生长。相反,Nar基因型在低pH条件下的优势源于与Nap基因型的生态相互作用,这种相互作用减轻了亚硝酸盐毒性。我们的研究为剖析环境变量与基因丰度之间的全球关联如何由环境调节的群落相互作用产生提供了一条路线图。