As two central issues of global climate change, the continuous increase of both atmospheric CO2 concentrations and global temperature has profound effects on various terrestrial ecosystems. Microbial communities play pivotal roles in these ecosystems by responding to environmental changes through regulation of soil biogeochemical processes. However, little is known about the effect of elevated CO2 (eCO2) and global warming on soil microbial communities, especially in semiarid zones. We used a functional gene array (GeoChip 3.0) to measure the functional gene composition, structure, and metabolic potential of soil microbial communities under warming, eCO2, and eCO2 + warming conditions in a semiarid grassland. The results showed that the composition and structure of microbial communities was dramatically altered by multiple climate factors, including elevated CO2 and increased temperature. Key functional genes, those involved in carbon (C) degradation and fixation, methane metabolism, nitrogen (N) fixation, denitrification and N mineralization, were all stimulated under eCO2, while those genes involved in denitrification and ammonification were inhibited under warming alone. The interaction effects of eCO2 and warming on soil functional processes were similar to eCO2 alone, whereas some genes involved in recalcitrant C degradation showed no significant changes. In addition, canonical correspondence analysis and Mantel test results suggested that NO3-N and moisture significantly correlated with variations in microbial functional genes. Overall, this study revealed the possible feedback of soil microbial communities to multiple climate change factors by the suppression of N cycling under warming, and enhancement of C and N cycling processes under either eCO2 alone or in interaction with warming. These findings may enhance our understanding of semiarid grassland ecosystem responses to integrated factors of global climate change.

The plant–microbe interaction can affect ecosystem function, and many studies have demonstrated that plant species influence relevant microorganisms. In this study, microbial communities in bulk soil, rhizosphere soil and phyllosphere from different maize varieties were investigated using high-throughput sequencing method. Results demonstrated that cultivar Gaoneng 1 (G1) showed higher bacterial diversity in soil (both bulk and rhizosphere soils) and lower bacterial diversity in the phyllosphere, while cultivar Gaoneng 2 (G2) had lower fungal diversity in both the soil and phyllosphere compare to the other cultivars. The bacterial community structure of soils among the three varieties was significantly different; however, no significant differences were found in the soil fungal community and phyllosphere bacterial and fungal community. The soil networks from cultivar G1 and phyllosphere networks from cultivar Zhengdan (ZD) have the highest complexity in contrast to the other two cultivars. In conclusion, the bacterial community structure in bulk soil of different cultivars was significantly different, so do the co-occurrence ecological networks of phyllosphere bacterial community. This study comprehensively analyzed the microbial community among different maize cultivars and could be useful for guiding practices, such as evaluation of new plant cultivars and quality predictions of these varieties at the microbial level.

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