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DOI	10.1016/j.scitotenv.2018.12.126
	Using a combination of PLFA and DNA-based sequencing analyses to detect shifts in the soil microbial community composition after a simulated spring precipitation in a semi-arid grassland in China
	Chen, Hao; Zhao, Xiaorong; Lin, Qimei; Li, Guitong; Kong, Weidong
通讯作者	Zhao, XR (通讯作者)
发表日期	2019
ISSN	0048-9697
EISSN	1879-1026
起始页码	1237
结束页码	1245
卷号	657
英文摘要	Increased spring precipitation in semi-arid grasslands could improve annual primary productivity. However, little is known about the responses of soil microbes to individual spring precipitation. In this study, we combined phospholipid tatty acid (PLFA) and DNA-based high-throughput sequencing analyses to investigate short-term (days) shifts in the soil microbial community composition after a simulated spring precipitation. Under field conditions, the soils (approx. -0.3 MPa) were exposed to either a watering of 20 cm or natural drought, and soil samples were collected at days 1, 3, 5, 8, and 12 after watering. Soil labile organic carbon (C) and nitrogen (N) as well as microbial biomass C (MBC) were positively Correlated with soil water content (SWC). Spring watering significantly increased plant phosphorus (P) uptake, but had no impact on soil available P (AP). Watering increased the PLFA biomarkers indicative for Gram-negative (G(-)) bacteria and fungi. Two phyla of G(-) bacteria, Proteobacteria and Bacteroidetes, as well as the fungal phylum Ascomycota were more abundant when SWC increased. In addition to SWC and its related environmental factors such as C and N availabilities, AP appeared to be an important factor in shaping the soil microbial community composition. The study highlights the combination use of the methods based on different microbial biomarkers (PLEA vs. DNA), and the results were in line with each other. While the PLEA-based method was more sensitive to short-term shifts in soil microbial community composition in response to a precipitation event, DNA-based method could provide more information on the microbial taxa at a finer taxonomic resolution. Our results provide methodological insights for future research on short-term response of soil microbial community to changing environmental conditions. (C) 2018 Elsevier B.V. All rights reserved.
关键词	PHOSPHOLIPID FATTY-ACID EXTRACTION METHOD INNER-MONGOLIA ORGANIC-CARBON BIOMASS DIVERSITY BACTERIAL RESPONSES NITROGEN FUNGAL
英文关键词	Semi-arid grasslands; Spring watering; Microbial community composition; PLFA; DNA-based high-throughput sequencing
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:000455903400120
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259486
推荐引用方式 GB/T 7714	Chen, Hao,Zhao, Xiaorong,Lin, Qimei,et al. Using a combination of PLFA and DNA-based sequencing analyses to detect shifts in the soil microbial community composition after a simulated spring precipitation in a semi-arid grassland in China[J]. 中国科学院青藏高原研究所,2019,657.
APA	Chen, Hao,Zhao, Xiaorong,Lin, Qimei,Li, Guitong,&Kong, Weidong.(2019).Using a combination of PLFA and DNA-based sequencing analyses to detect shifts in the soil microbial community composition after a simulated spring precipitation in a semi-arid grassland in China.SCIENCE OF THE TOTAL ENVIRONMENT,657.
MLA	Chen, Hao,et al."Using a combination of PLFA and DNA-based sequencing analyses to detect shifts in the soil microbial community composition after a simulated spring precipitation in a semi-arid grassland in China".SCIENCE OF THE TOTAL ENVIRONMENT 657(2019).