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Metagenomic analysis of bacterial endophyte community structure and functions in Panax ginseng at different ages.


ABSTRACT: This study investigated the root-associated bacterial endophytes of Panax ginseng at different ages by shotgun metagenomic analysis. After mapping metagenome data to the complete ginseng genome to identify unmapped sequences, we predicted the structure and functions of ginseng bacterial endophytes by metagenomic rapid annotation using subsystems technology analysis. While Proteobacteria and Actinobacteria were the predominant phyla in all samples (2-6-year-old roots), class Alphaproteobacteria was most abundant in 3-, 4-, and 5-year-old plants. We found that 3-year-old P. ginseng had a 0.66% unmapped rate against the whole ginseng genome and showed the greatest diversity of endophytic bacteria (? diversity?=?299). Prediction of endophytic bacterial functions at different ages by SEED subsystem analysis revealed that siderophore and auxin-related traits-which are known to promote plant growth-were most highly represented in 3-year-old plants. This was supported by a gene frequency analysis of plant growth-promoting genes, including those responsible for solubilization of phosphate and nitrogen metabolism, using BLASTn. These results suggest that endophytic bacteria of the P. ginseng root affect plant growth. Furthermore, the isolation and purification of plant growth-promoting endophytes identified in this study could promote sustainable cultivation of ginseng in the future.

SUBMITTER: Hong CE 

PROVIDER: S-EPMC6646489 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Metagenomic analysis of bacterial endophyte community structure and functions in <i>Panax ginseng</i> at different ages.

Hong Chi Eun CE   Kim Jang Uk JU   Lee Jung Woo JW   Bang Kyong Hwan KH   Jo Ick Hyun IH  

3 Biotech 20190722 8


This study investigated the root-associated bacterial endophytes of <i>Panax ginseng</i> at different ages by shotgun metagenomic analysis. After mapping metagenome data to the complete ginseng genome to identify unmapped sequences, we predicted the structure and functions of ginseng bacterial endophytes by metagenomic rapid annotation using subsystems technology analysis. While Proteobacteria and Actinobacteria were the predominant phyla in all samples (2-6-year-old roots), class Alphaproteobac  ...[more]

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