Microbial inoculations improved rice yields by altering the presence of soil rare bacteria

Microbial inoculation is a promising way to improve crop yields in an eco-friendly and economic manner. However, the effects of inoculation on soil resident rare species, representing most of the diversity, are still not well documented and need further assessment. Here, we conducted a pot experiment to test the effects of single-strain and co-inoculants of Rhodopseudomonas palustris and Bacillus subtilis on soil rare and abundant bacteria through sequencing 16S ribosomal RNA gene amplicons. The results showed that microbial inoculations significantly improved the rice yields up to 17.73 %, and R. palustris and B. subtilis co-inoculation showed synergistic effects on rice yields. The inoculations exerted significant modification in soil bacterial community structure, with a more pronounced influence on the rare community than the abundant. The large shifts in rare community structure induced the increase of beneficial rare members and enhanced the membrane transporters and signal transduction together with the increase of some essential metabolism pathways. According to the random forest modeling, relative abundance of the subgroups of rare and abundant communities could explain 61.37-63.09 % of the variations in the rice yields. Structural equation modeling further demonstrated the potential predominant role of rare bacteria in impacting the crop yields (r = 0.95). Overall, our study proved the effectiveness of the co-inoculant in promoting the rice yields through mediating the soil rare bacteria of microbial community. These findings expand current understanding of the microbial inoculation impacts on subsequent crop yield and the underlying microbial mechanisms in agricultural ecosystem.

Automated summary

Microbial inoculation can significantly improve crop yields, especially the synergistic effects of Rhodopseudomonas palustris and Bacillus subtilis co-inoculation on rice yields. Inoculation influences soil bacterial community structure, with a more pronounced impact on rare communities. The relative abundance of rare and abundant communities can explain a large proportion of variations in rice yields according to random forest modeling.