S44: Long-term elevated CO2 decreases microbial biodiversity in a grassland ecosystem as revealed by metagenomics sequencing

Monday, August 13, 2012: 3:30 PM
Meeting Room 9-10, Columbia Hall, Terrace Level (Washington Hilton)
Qichao Tu and Jizhong Zhou, Botany and Microbiology, The University of Oklahoma, Norman, OK
Understanding the responses of biological communities to elevated CO2 (eCO2) is a central issue in ecology and global change biology, but little is known about the impacts of eCO2 on the function, structure, and diversity of the below ground microbial community. In this study, 24 soil samples (ambient CO2 (aCO2) vs. eCO2, all with 16 plant species) were collected from BioCON experimental site located at the University of Minnesota. Both 454 and Illumina-based metagenomics sequencing were performed, resulting in a total of ~120GB sequence data.  Annotation information showed that the majority of the gene content in soil microbial communities is novel and rare. DCA analysis showed aCO2 and eCO2 samples can be separated clearly, indicating eCO2 has altered the overall functional structure of grassland microbial communities.  The core and pan functional genes were also analyzed, and results indicated that aCO2 samples retained a broader gene content than eCO2 samples. Further analysis showed lower functional gene diversity was observed in eCO2 samples,  suggesting eCO2 has potentially decreased the function diversity of microbial communities in grassland soil. Functional genes were extracted and analyzed phylogenetically. As results, the majority of functional genes studied showed decreased taxonomy diversity in response to eCO2. Additional amplicon sequencing of several genes including 16S rRNA, nifH, and amoA also verified the results.  In conclusion, our results indicated that the overall functional and taxonomic diversity of the microbial community in grassland decreased in response to long-term eCO2, though exceptions could be observed for some functional genes and fungi.