Integrated metagenomics and network analysis of soil microbial community of the forest timberline

Ding, Junjun; Zhang, Yuguang; Deng, Ye; Cong, Jing; Lu, Hui; Sun, Xin; Yang, Caiyun; Yuan, Tong; Van Nostrand, Joy D.; Li, Diqiang; Zhou, Jizhong; Yang, Yunfeng

doi:10.1038/srep07994

Title: Integrated metagenomics and network analysis of soil microbial community of the forest timberline

Journal Article · Fri Jan 23 00:00:00 EST 2015 · Scientific Reports

DOI:https://doi.org/10.1038/srep07994· OSTI ID:1624757

Ding, Junjun ^[1]; Zhang, Yuguang ^[2]; Deng, Ye ^[3]; Cong, Jing ^[4]; Lu, Hui ^[2]; Sun, Xin ^[5]; Yang, Caiyun ^[6]; Yuan, Tong ^[6]; Van Nostrand, Joy D. ^[6]; Li, Diqiang ^[2]; Zhou, Jizhong ^[7]; Yang, Yunfeng ^[5]

Chinese Academy of Forestry, Beijing (China). Key Lab. of Forest Ecology and Environment of State Forestry Administration, Inst. of Forestry Ecology, Environment and Protection; Tsinghua Univ., Beijing (China). School of Environment, State key Joint Laboratory of Environmental Simulation and Pollution Control
Chinese Academy of Forestry, Beijing (China). Key Lab. of Forest Ecology and Environment of State Forestry Administration, Inst. of Forestry Ecology, Environment and Protection
Chinese Academy of Sciences (CAS), Beijing (China). Research Center for Eco-Environmental Sciences, CAS Key Laboratory of Environmental Biotechnology; Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Botany and Microbiology
Chinese Academy of Forestry, Beijing (China). Key Lab. of Forest Ecology and Environment of State Forestry Administration, Inst. of Forestry Ecology, Environment and Protection; Central South Univ., Changsha (China). School of Mineral Processing and Bioengineering
Tsinghua Univ., Beijing (China). School of Environment, State key Joint Laboratory of Environmental Simulation and Pollution Control
Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Botany and Microbiology
Tsinghua Univ., Beijing (China). School of Environment. State key Joint Laboratory of Environmental Simulation and Pollution Control; Univ. of Oklahoma, Norman, OK (United States). Inst. for Environmental Genomics and Dept. of Botany and Microbiology; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

The forest timberline responds quickly and markedly to climate changes, rendering it a ready indicator. Climate warming has caused an upshift of the timberline worldwide. However, the impact on belowground ecosystem and biogeochemical cycles remain elusive. To understand soil microbial ecology of the timberline, we analyzed microbial communities via 16s rRNA Illumina sequencing, a microarray-based tool named GeoChip 4.0 and a random matrix theory-based association network approach. We selected 24 sampling sites at two vegetation belts forming the timberline of Shennongjia Mountain in Hubei Province of China, a region with extraordinarily rich biodiversity. We found that temperature, among all of measured environmental parameters, showed the most significant and extensive linkages with microbial biomass, microbial diversity and composition at both taxonomic and functional gene levels and microbial association network. Therefore, temperature was the best predictor for microbial community variations in the timberline. Furthermore, abundances of nitrogen cycle and phosphorus cycle genes were concomitant with NH₄⁺-N, NO₃^–-N and total phosphorus, offering tangible clues to the underlying mechanisms of soil biogeochemical cycles. As the first glimpse at both taxonomic and functional compositions of soil microbial community of the timberline, our findings have major implications for predicting consequences of future timberline upshift.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC); Chinese Academy of Sciences (CAS); National Key Basic Research Program of China; National Natural Science Foundation of China (NSFC); National Science Foundation (NSF)

Grant/Contract Number:: AC02-05CH11231; LFSE2014-02; XDB15010302

OSTI ID:: 1624757

Journal Information:: Scientific Reports, Vol. 5, Issue 1; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 76 works

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Title: Integrated metagenomics and network analysis of soil microbial community of the forest timberline

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