Divergent Responses of Forest Soil Microbial Communities under Elevated CO 2 in Different Depths of Upper Soil Layers
Open Access
- 1 January 2018
- journal article
- research article
- Published by American Society for Microbiology in Applied and Environmental Microbiology
- Vol. 84 (1), e01694-17
- https://doi.org/10.1128/aem.01694-17
Abstract
Numerous studies have shown that the continuous increase of atmosphere CO2 concentrations may have profound effects on the forest ecosystem and its functions. However, little is known about the response of belowground soil microbial communities under elevated atmospheric CO2 (eCO2) at different soil depth profiles in forest ecosystems. Here, we examined soil microbial communities at two soil depths (0 to 5 cm and 5 to 15 cm) after a 10-year eCO2 exposure using a high-throughput functional gene microarray (GeoChip). The results showed that eCO2 significantly shifted the compositions, including phylogenetic and functional gene structures, of soil microbial communities at both soil depths. Key functional genes, including those involved in carbon degradation and fixation, methane metabolism, denitrification, ammonification, and nitrogen fixation, were stimulated under eCO2 at both soil depths, although the stimulation effect of eCO2 on these functional markers was greater at the soil depth of 0 to 5 cm than of 5 to 15 cm. Moreover, a canonical correspondence analysis suggested that NO3-N, total nitrogen (TN), total carbon (TC), and leaf litter were significantly correlated with the composition of the whole microbial community. This study revealed a positive feedback of eCO2 in forest soil microbial communities, which may provide new insight for a further understanding of forest ecosystem responses to global CO2 increases.Keywords
Funding Information
- Strategic Priority Research Program of the Chinese Academy of Sciences (XDB15010302)
- The National Natural Science Foundation of China (31540071)
- the National Key Research and Development Program (2016YFC0500702)
- the natural science foundation of Liaoning Province of China (201602361)
- China Postdoctoral Science Foundation (2016M601145)
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