Relative and Quantitative Rhizosphere Microbiome Profiling Results in Distinct Abundance Patterns

Frontiers in Microbiology

Etienne Yergeau¹  Julien Tremblay²  Hamed Azarbad³  Luke D. Bainard⁴ 

[1] Centre Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique, Laval, QC, Canada;Energy, Mining and Environment, National Research Council Canada, Montréal, QC, Canada;Evolutionary Ecology of Plants, Faculty of Biology, Philipps-University Marburg, Marburg, Germany;Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada;

关键词: qPCR;    quantitative;    microbiome;    amplicon sequencing;    stress history;   

DOI  :  10.3389/fmicb.2021.798023

来源: DOAJ

【 摘 要 】

Next-generation sequencing is one of the most popular and cost-effective ways of characterizing microbiome in multiple samples. However, most of the currently available amplicon sequencing approaches are limited, as they result in relative abundance profiles of microbial taxa, which does not represent actual abundance in the environment. Here, we combined amplicon sequencing (16S rRNA gene for bacteria and ITS region for fungi) with real-time quantitative PCR (qPCR) to characterize the rhizosphere microbiome of wheat. We show that changes in the relative abundance of major microbial phyla do not necessarily follow the same pattern as the estimated quantitative abundance. Most of the bacterial phyla linked with the rhizosphere of plants grown in soil with no history of water stress showed enrichment patterns in their estimated absolute abundance, which was in contradiction with the trends observed in the relative abundance data. However, in the case of the fungal groups (except for Basidiomycota), such an enrichment pattern was not observed and the abundance of fungi remained relatively unchanged under different soil water stress history when estimated absolute abundance was considered. Comparing relative and estimated absolute abundances of dominant bacterial and fungal phyla, as well as their correlation with the functional processes in the rhizosphere, our results suggest that the estimated absolute abundance approach gives a different and more realistic perspective than the relative abundance approach. Such a quantification approach provides complementary information that helps to better understand the rhizosphere microbiomes and their associated ecological functional processes.

【 授权许可】

Unknown