Bacterial diversity in the rhizosphere of two phylogenetically closely related plant species across environmental gradients

Purpose

Rhizosphere soil bacterial communities are crucial to plant growth, health, and stress resistance. In order to detect how bacterial communities associated with the rhizosphere of phylogenetically related plant species vary in terms of composition, function, and diversity, we investigated the rhizosphere bacterial community structure of two perennial shrub species, Caragana jubata and Caragana roborovskyi, under natural field conditions in northwest China and analyzed the influence of soil properties and environmental factors.

Materials and methods

Eighteen root samples, eight for C. jubata, and ten for C. roborovskyi, along with any adherent soil particles, were collected from multiple sites in northwest China. The rhizosphere soil was washed from the roots, and bacterial communities were analyzed using Illumina MiSeq sequencing of 16S rRNA gene amplicons. Then, α-diversity and β-diversity were calculated using QIIME.

Results and discussion

Across species, Proteobacteria (29 %), Actinobacteria (15 %), Chloroflexi (10 %), Acidobacteria (10 %), Bacteroidetes (8 %), Firmicutes (8 %), Planctomycetes (7 %), Gemmatimonadetes (4 %), and Verrucomicrobia (3 %) were the most abundant phyla in the rhizosphere of C. jubata and C. roborovskyi. However, principal co-ordinates analysis indicated strong interspecific patterns of bacterial rhizosphere communities. Further, the richness of Proteobacteria, Acidobacteria, Bacteroidetes, Verrucomicrobia, Firmicutes, and Nitrospirae was significantly higher in the rhizosphere of C. jubata compared with C. roborovskyi, while the opposite was found for Actinobacteria and Cyanobacteria. However, the Shannon index showed no significant difference in α-diversity between C. jubata and C. roborovskyi. Distance-based redundancy analysis indicated that soil properties and environmental factors exerted strong influences on the structure of the rhizosphere bacterial community and explained 47 and 46 % of community variances between samples, respectively.

Conclusions

Our results showed strong interspecific clustering of the bacterial rhizosphere communities of C. roborovskyi and C. jubata. Altitude explained most of the variation in the composition of bacterial rhizosphere communities of C. roborovskyi and C. jubata, followed by soil pH, water content, organic matter content, total nitrogen content, and mean annual rainfall.