生物
微生物群
基因组
人类微生物组计划
基因组
微生物生态学
进化生物学
霰弹枪测序
寄主(生物学)
宿主适应
系统发育树
遗传学
计算生物学
人体微生物群
动物
基因
细菌
作者
Tobyn Branck,Zhi-Liang Hu,William A. Nickols,Aaron M. Walsh,Amrisha Bhosle,Meghan I. Short,Jacob T. Nearing,Francesco Asnicar,Lauren J. McIver,Sagun Maharjan,Ali Rahnavard,Artemis S. Louyakis,Dayakar V. Badri,Christoph Brockel,Kelsey N. Thompson,Curtis Huttenhower
标识
DOI:10.1093/ismejo/wrae201
摘要
Abstract The gut microbiome of companion animals is relatively underexplored, despite its relevance to animal health, pet owner health, and basic microbial community biology. Here, we provide the most comprehensive analysis of the canine and feline gut microbiomes to date, incorporating 2639 stool shotgun metagenomes (2272 dog and 367 cat) spanning 14 publicly available datasets (n = 730) and 8 new study populations (n = 1909). These are compared with 238 and 112 baseline human gut metagenomes from the Human Microbiome Project 1-II and a traditionally living Malagasy cohort, respectively, processed in a manner identical to the animal metagenomes. All microbiomes were characterized using reference-based taxonomic and functional profiling, as well as de novo assembly yielding metagenomic assembled genomes clustered into species-level genome bins. Companion animals shared 184 species-level genome bins not found in humans, whereas 198 were found in all three hosts. We applied novel methodology to distinguish strains of these shared organisms either transferred or unique to host species, with phylogenetic patterns suggesting host-specific adaptation of microbial lineages. This corresponded with functional divergence of these lineages by host (e.g., differences in metabolic and antibiotic resistance genes) likely important to companion animal health. This study provides the largest resource to date of companion animal gut metagenomes and greatly contributes to our understanding of the “One Health” concept of a shared microbial environment among humans and companion animals, affecting infectious diseases, immune response, and specific genetic elements.
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