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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, H (Chen, Hao)1,2,3; Zhao, XR (Zhao, Xiaorong)1,2; Lin, QM (Lin, Qimei)1,2; Li, GT (Li, Guitong)1,2; Kong, WD (Kong, Weidong)3,4
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
2019
Volume657Issue:0Pages:1237-1245
DOI10.1016/j.scitotenv.2018.12.126
Abstract

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.

Subject AreaEnvironmental Sciences & Ecology
WOS IDWOS:000455903400120
Language英语
Indexed BySCI
KeywordPhospholipid Fatty-acid Extraction Method Inner-mongolia Organic-carbon Biomass Diversity Bacterial Responses Nitrogen Fungal
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
Cooperation Status国内
ISSN0048-9697
Department高寒生态与人类适应
URL查看原文
PublisherELSEVIER SCIENCE BV
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9362
Collection图书馆
Corresponding AuthorZhao, XR (Zhao, Xiaorong)
Affiliation1.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China;
2.China Agr Univ, Coll Resources & Environm Sci, Key Lab Arable Land Conservat North China, Minist Agr,Minist Educ,Key Lab Plant Soil Interac, Beijing 100193, Peoples R China;
3.Chinese Acad Sci, Key Lab Alpine Ecol & Biodivers, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
Recommended Citation
GB/T 7714
Chen, H ,Zhao, XR ,Lin, QM ,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]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,657(0):1237-1245.
APA Chen, H ,Zhao, XR ,Lin, QM ,Li, GT ,&Kong, WD .(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(0),1237-1245.
MLA Chen, H ,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 657.0(2019):1237-1245.
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