Taylor Megan, Vega N M
Biology Department, Emory University, Atlanta, Georgia, USA.
Biology Department, Emory University, Atlanta, Georgia, USA
mSystems. 2021 Apr 20;6(2):e00608-20. doi: 10.1128/mSystems.00608-20.
A growing body of data suggests that the microbiome of a species can vary considerably from individual to individual, but the reasons for this variation-and the consequences for the ecology of these communities-remain only partially explained. In mammals, the emerging picture is that the metabolic state and immune system status of the host affect the composition of the microbiome, but quantitative ecological microbiome studies are challenging to perform in higher organisms. Here, we show that these phenomena can be quantitatively analyzed in the tractable nematode host Mutants in innate immunity, in particular the DAF-2/insulin growth factor (IGF) pathway, are shown to contain a microbiome that differs from that of wild-type nematodes. We analyzed the underlying basis of these differences from the perspective of community ecology by comparing experimental observations to the predictions of a neutral sampling model and concluded that fundamental differences in microbiome ecology underlie the observed differences in microbiome composition. We tested this hypothesis by introducing a minor perturbation into the colonization conditions, allowing us to assess stability of communities in different host strains. Our results show that altering host immunity changes the importance of interspecies interactions within the microbiome, resulting in differences in community composition and stability that emerge from these differences in host-microbe ecology. Here, we used a microbiome model to demonstrate how genetic differences in innate immunity alter microbiome composition, diversity, and stability by changing the ecological processes that shape these communities. These results provide insight into the role of host genetics in controlling the ecology of the host-associated microbiota, resulting in differences in community composition, successional trajectories, and response to perturbation.
越来越多的数据表明,一个物种的微生物组在个体之间可能存在很大差异,但这种差异的原因以及对这些群落生态的影响仍只是部分得到了解释。在哺乳动物中,新出现的情况是宿主的代谢状态和免疫系统状态会影响微生物组的组成,但在高等生物中进行定量生态微生物组研究具有挑战性。在这里,我们表明这些现象可以在易于处理的线虫宿主中进行定量分析。先天免疫缺陷的突变体,特别是DAF-2/胰岛素生长因子(IGF)途径的突变体,其微生物组与野生型线虫不同。我们通过将实验观察结果与中性抽样模型的预测进行比较,从群落生态学的角度分析了这些差异的潜在基础,并得出结论,微生物组生态学的根本差异是观察到的微生物组组成差异的基础。我们通过对定殖条件进行轻微扰动来检验这一假设,从而能够评估不同宿主菌株中群落的稳定性。我们的结果表明,改变宿主免疫力会改变微生物组内物种间相互作用的重要性,导致群落组成和稳定性的差异,这些差异源于宿主-微生物生态学的这些差异。在这里,我们使用一个微生物组模型来证明先天免疫的遗传差异如何通过改变塑造这些群落的生态过程来改变微生物组的组成、多样性和稳定性。这些结果为宿主遗传学在控制宿主相关微生物群生态中的作用提供了见解,导致群落组成、演替轨迹和对扰动的反应存在差异。