Divergent Responses of Forest Soil Microbial Communities under Elevated CO2 in Different Depths of Upper Soil Layers
Abstract
ABSTRACT Numerous studies have shown that the continuous increase of atmosphere CO2concentrations 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 eCO2exposure using a high-throughput functional gene microarray (GeoChip). The results showed that eCO2significantly 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 eCO2at both soil depths, although the stimulation effect of eCO2on 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 eCO2in forest soil microbial communities, which may provide new insight for a further understanding ofmore »
- Authors:
-
- Chinese Academy of Sciences (CAS), Beijing (China). CAS Key Lab. of Environmental Biotechnology. Research Center for Eco-Environmental Sciences; Liaoning Technical Univ., Fuxin (China). College of Environmental Science and Engineering
- Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology. Inst. for Environmental Genomics
- Chinese Academy of Sciences (CAS), Beijing (China). CAS Key Lab. of Environmental Biotechnology. Research Center for Eco-Environmental Sciences; Harbin Inst. of Technology (China). State Key Lab. of Urban Water Resource and Environment
- Central South Univ., Changsha (China). School of Minerals Processing and Bioengineering
- Chinese Academy of Sciences (CAS), Beijing (China). CAS Key Lab. of Environmental Biotechnology. Research Center for Eco-Environmental Sciences
- Liaoning Technical Univ., Fuxin (China). College of Environmental Science and Engineering
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Biosciences Division
- Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology. Inst. for Environmental Genomics; Tsinghua Univ., Beijing (China). State Key Joint Lab. of Environment Simulation and Pollution Control. School of Environment
- Chinese Academy of Sciences (CAS), Beijing (China). CAS Key Lab. of Environmental Biotechnology. Research Center for Eco-Environmental Sciences; Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology. Inst. for Environmental Genomics; Univ. of Chinese Academy of Sciences, Beijing (China). College of Resources and Environment
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Chinese Academy of Sciences (CAS), Beijing (China); Liaoning Technical Univ., Fuxin (China); Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE; Chinese Academy of Sciences (CAS); National Natural Science Foundation of China (NSFC); National Key Research and Development Program (China); China Postdoctoral Science Foundation; Natural Science Foundation of Liaoning Province of China
- OSTI Identifier:
- 1423015
- Alternate Identifier(s):
- OSTI ID: 1479364
- Grant/Contract Number:
- AC05-00OR22725; XDB15010302; 31540071; 2016YFC0500702; 2016M601145; 201602361
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied and Environmental Microbiology
- Additional Journal Information:
- Journal Volume: 84; Journal Issue: 1; Journal ID: ISSN 0099-2240
- Publisher:
- American Society for Microbiology
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; microbial responses; elevated carbon dioxide; soil microbial community; free-air CO2 enrichment; functional genes; forest ecosystem
Citation Formats
Yu, Hao, He, Zhili, Wang, Aijie, Xie, Jianping, Wu, Liyou, Van Nostrand, Joy D., Jin, Decai, Shao, Zhimin, Schadt, Christopher W., Zhou, Jizhong, and Deng, Ye. Divergent Responses of Forest Soil Microbial Communities under Elevated CO2 in Different Depths of Upper Soil Layers. United States: N. p., 2017.
Web. doi:10.1128/AEM.01694-17.
Yu, Hao, He, Zhili, Wang, Aijie, Xie, Jianping, Wu, Liyou, Van Nostrand, Joy D., Jin, Decai, Shao, Zhimin, Schadt, Christopher W., Zhou, Jizhong, & Deng, Ye. Divergent Responses of Forest Soil Microbial Communities under Elevated CO2 in Different Depths of Upper Soil Layers. United States. https://doi.org/10.1128/AEM.01694-17
Yu, Hao, He, Zhili, Wang, Aijie, Xie, Jianping, Wu, Liyou, Van Nostrand, Joy D., Jin, Decai, Shao, Zhimin, Schadt, Christopher W., Zhou, Jizhong, and Deng, Ye. Fri .
"Divergent Responses of Forest Soil Microbial Communities under Elevated CO2 in Different Depths of Upper Soil Layers". United States. https://doi.org/10.1128/AEM.01694-17. https://www.osti.gov/servlets/purl/1423015.
@article{osti_1423015,
title = {Divergent Responses of Forest Soil Microbial Communities under Elevated CO2 in Different Depths of Upper Soil Layers},
author = {Yu, Hao and He, Zhili and Wang, Aijie and Xie, Jianping and Wu, Liyou and Van Nostrand, Joy D. and Jin, Decai and Shao, Zhimin and Schadt, Christopher W. and Zhou, Jizhong and Deng, Ye},
abstractNote = {ABSTRACT Numerous studies have shown that the continuous increase of atmosphere CO2concentrations 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 eCO2exposure using a high-throughput functional gene microarray (GeoChip). The results showed that eCO2significantly 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 eCO2at both soil depths, although the stimulation effect of eCO2on 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 eCO2in forest soil microbial communities, which may provide new insight for a further understanding of forest ecosystem responses to global CO2increases. IMPORTANCEThe concentration of atmospheric carbon dioxide (CO2) has continuously been increasing since the industrial revolution. Understanding the response of soil microbial communities to elevated atmospheric CO2(eCO2) is important for predicting the contribution of the forest ecosystem to global atmospheric change. This study analyzed the effect of eCO2on microbial communities at two soil depths (0 to 5 cm and 5 to 15 cm) in a forest ecosystem. Our findings suggest that the compositional and functional structures of microbial communities shifted under eCO2at both soil depths. More functional genes involved in carbon, nitrogen, and phosphorus cycling were stimulated under eCO2at the soil depth of 0 to 5 cm than at the depth of 5 to 15 cm.},
doi = {10.1128/AEM.01694-17},
journal = {Applied and Environmental Microbiology},
number = 1,
volume = 84,
place = {United States},
year = {Fri Oct 27 00:00:00 EDT 2017},
month = {Fri Oct 27 00:00:00 EDT 2017}
}
Web of Science
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