Huan Wang1, Jinyan Li1, Xiaoxia Liang1, Shengchang Tao2,3, Zhanghua Wu1,2, Gang Wei1. 1. School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China. 2. Shaoguan Institute of Danxia Dendrobium Officinale, Shaoguan, China. 3. Department of Pharmacy, Affiliated Dongguan People's Hospital, Southern Medical University, Dongguan, China.
Abstract
AIMS: Microbial communities that inhabit plants are crucial for plant survival and well-being including growth in stressful environments. The medicinal plant, Dendrobium officinale grows in the barren soils of the Danxia Habitat. However, the microbiome composition and functional potential for growth of this plant in this environment are still unexplored. METHODS AND RESULTS: In this study, we analysed the taxonomic and functional diversity of the D. officinale Microbiome by metagenomic sequencing of both rhizosphere and endosphere samples. A total of 155 phyla, 122 classes, 271 orders, 620 families and 2194 genera were identified from all samples. The rhizospheric microbes (DXRh) were mainly composed of Proteobacteria and Acidobacteria, while Basidiomycota and Ascomycota were the most dominant phyla in root endosphere (DXRo) and stem endosphere (DXS), respectively. Most of the dominant microbial communities had been reported to have diverse functional potentials that can help plant growth and development in stressful and nutrient-deprived ecological environmental. These include plant growth promoting rhizobacteria (PGPR) such as Massilia, Pseudomonas, Bradyrhizobium, Klebsiella, Streptomyces, Leclercia, Paenibacillus, Frankia and Enterobacter in the DXRh, Tulasnella and Serendipita in the DXRo, Colletotrichum and Burkholderia in the DXS and Paraburkholderia, Rhizophagus and Acetobacter in endosphere. Analysis using the KEGG, eggNOG and CAZy databases showed that metabolic pathways such as carbohydrate metabolism, amino acid metabolism, energy metabolism, genetic information processing and environmental information processing are significantly abundant, which may be related to the survival, growth and development of D. officinale in a stressful environment. CONCLUSIONS: We speculated that the microbial community with diverse taxonomic structures and metabolic functions inhabiting in different niches of plants supports the survival and growth of D. officinale in the stressful environment of Danxia Habitat. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provided an important data resource for microbes associated with D. officinale and theoretical foundation for further studies.
AIMS: Microbial communities that inhabit plants are crucial for plant survival and well-being including growth in stressful environments. The medicinal plant, Dendrobium officinale grows in the barren soils of the Danxia Habitat. However, the microbiome composition and functional potential for growth of this plant in this environment are still unexplored. METHODS AND RESULTS: In this study, we analysed the taxonomic and functional diversity of the D. officinale Microbiome by metagenomic sequencing of both rhizosphere and endosphere samples. A total of 155 phyla, 122 classes, 271 orders, 620 families and 2194 genera were identified from all samples. The rhizospheric microbes (DXRh) were mainly composed of Proteobacteria and Acidobacteria, while Basidiomycota and Ascomycota were the most dominant phyla in root endosphere (DXRo) and stem endosphere (DXS), respectively. Most of the dominant microbial communities had been reported to have diverse functional potentials that can help plant growth and development in stressful and nutrient-deprived ecological environmental. These include plant growth promoting rhizobacteria (PGPR) such as Massilia, Pseudomonas, Bradyrhizobium, Klebsiella, Streptomyces, Leclercia, Paenibacillus, Frankia and Enterobacter in the DXRh, Tulasnella and Serendipita in the DXRo, Colletotrichum and Burkholderia in the DXS and Paraburkholderia, Rhizophagus and Acetobacter in endosphere. Analysis using the KEGG, eggNOG and CAZy databases showed that metabolic pathways such as carbohydrate metabolism, amino acid metabolism, energy metabolism, genetic information processing and environmental information processing are significantly abundant, which may be related to the survival, growth and development of D. officinale in a stressful environment. CONCLUSIONS: We speculated that the microbial community with diverse taxonomic structures and metabolic functions inhabiting in different niches of plants supports the survival and growth of D. officinale in the stressful environment of Danxia Habitat. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provided an important data resource for microbes associated with D. officinale and theoretical foundation for further studies.