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Preferences for core microbiome composition and function by different definition methods: Evidence for the core
Chunbo Dong1, Qiuyu Shao1, Qingqing Zhang1
1Institute of Fungus Resources, Department of Ecology, College of Life Sciences, Guizhou University, Guiyang 550025, Guizhou, China.
Abstract:
The core microbiome, as a unique group of microorganisms, is an emerging research hotspot that provides a new opportunity to improve growth and production of a host. However, the subjectivity associated with the concept of "core microbiome" means there is currently no uniform definition method for the core microbiome. In this study, the strengths and limitations of four commonly used definition methods for the core microbiome were explored from composition to function based on the 16S rRNA gene dataset of Eucommia ulmoides bark from 25 different biogeographical regions in China. There were differences in the composition of the core microbiomes defined by the different methods. The four definition methods of phylogeny, membership, composition, and network connection contained 274, 10, 5, and 5 core OTUs (operational taxonomic units), respectively. In contrast, the core microbiomes defined by different methods displayed similarities in function. In addition, different definition methods showed varying preferences for abundant taxa, intermediate taxa, and rare taxa. Some core taxa defined by the definition method of phylogeny were significantly associated with pharmacologically active ingredients of E. ulmoides bark. The findings of this study suggest that although the core microbiomes defined by different methods have preferences in composition and function, the term refers to a group of microbes that are particularly notable and important for host-associated microbiomes. Therefore, we propose: (I) The definition method of the core microbiome should be selected according to the ecological problems faced; (II) A combination of multiple methods may comprehensively reveal the core microbiome at different levels of the host, and may also facilitate understanding of the ecological and evolutionary processes that govern host-microbe interactions.
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