The Jackson Laboratory, Bar Harbor, Maine 04609.
Genome Science and Technology Program, University of Tennessee, Tennessee 37830.
Genetics. 2020 Mar;214(3):719-733. doi: 10.1534/genetics.119.303013. Epub 2020 Jan 2.
The microbiome influences health and disease through complex networks of host genetics, genomics, microbes, and environment. Identifying the mechanisms of these interactions has remained challenging. Systems genetics in laboratory mice () enables data-driven discovery of biological network components and mechanisms of host-microbial interactions underlying disease phenotypes. To examine the interplay among the whole host genome, transcriptome, and microbiome, we mapped QTL and correlated the abundance of cecal messenger RNA, luminal microflora, physiology, and behavior in a highly diverse Collaborative Cross breeding population. One such relationship, regulated by a variant on chromosome 7, was the association of (Bacteroidales) abundance and sleep phenotypes. In a test of this association in the BKS.Cg- +/+ J mouse model of obesity and diabetes, known to have abnormal sleep and colonization by , treatment with antibiotics altered sleep in a genotype-dependent fashion. The many other relationships extracted from this study can be used to interrogate other diseases, microbes, and mechanisms.
微生物组通过宿主遗传学、基因组学、微生物和环境的复杂网络影响健康和疾病。确定这些相互作用的机制一直具有挑战性。实验室小鼠的系统遗传学()使数据驱动的生物网络组件和宿主-微生物相互作用的机制的发现成为可能,这些机制是疾病表型的基础。为了研究整个宿主基因组、转录组和微生物组之间的相互作用,我们在高度多样化的合作交叉繁殖群体中绘制了 QTL,并将盲肠信使 RNA、腔微生物群、生理学和行为的丰度相关联。其中一种关系受染色体 7 上一个变体的调控,与(拟杆菌目)丰度和睡眠表型有关。在肥胖和糖尿病的 BKS.Cg- +/+ J 小鼠模型中对这种关联进行测试时,众所周知,这种模型的睡眠和(拟杆菌目)定植异常,用抗生素治疗会以基因型依赖的方式改变睡眠。从这项研究中提取的许多其他关系可用于探究其他疾病、微生物和机制。