Soil microbial community structure dynamics shape the rhizosphere priming effect patterns in the paddy soil

被引:17
|
作者
Cui, Hao [1 ]
Chen, Pengfei [1 ]
He, Chao [1 ]
Jiang, Zhenhui [2 ]
Lan, Rui [3 ]
Yang, Jingping [1 ,4 ]
机构
[1] Zhejiang Univ, Inst Environm Pollut Control & Treatment, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China
[2] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[3] Bur Ecol & Environm, Environm Monitoring Stn Manasi, Beijing 832200, Xinjiang Uygur, Peoples R China
[4] Zhejiang Univ, Coll Environm & Resource Sci, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Rhizosphere priming effects; Bacterial community structure; Keystone taxa; Network modules; ORGANIC-MATTER DECOMPOSITION; NETWORK ANALYSIS REVEALS; CARBON DECOMPOSITION; BACTERIAL COMMUNITY; NITROGEN DEPOSITION; BIOCHAR ALTERS; MICROORGANISMS; MECHANISMS; ECOSYSTEMS; BIOMASS;
D O I
10.1016/j.scitotenv.2022.159459
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Microbial community structure plays a crucial part in soil organic carbon (SOC) decomposition and variation of rhizo-sphere priming effects (RPEs) during plant growth. However, it is still uncertain how bacterial community structure regulates RPEs in soil and how RPE patterns respond to plant growth. Therefore, we conducted an experiment to ex-amine the RPE response to plant growth and nitrogen (N) addition (0 (N0), 150 (N150), and 300 (N300) kg N ha-1) using the 13C natural abundance method in a C3 soil (paddy soil) -C4 plant (maize, Zea mays L.) system; we then explored the underlying biotic mechanisms using 16S rRNA sequencing techniques. Networks were constructed to identify keystone taxa and to analyze the correlations between network functional modules of bacterial community and C decomposition. The results indicated that negative and positive RPEs occurred on Day 30 and Day 75 after maize planting, respectively. Bacterial community structure significantly changed and tended to shift from r-strategists to-ward K-strategists with changing labile C: N stoichiometry and soil pH during plant growth stages. The different net -work modules of bacterial community were aggregated in response to RPE pattern variation. Caulobacteraceae, Bacillus, and Chitinophagaceae were keystone taxa on Day 30, while Gemmatimonas, Candidatus Koribacter, and Xanthobacteraceae were keystone taxa on Day 75. Moreover, keystone taxa with different C utilization strategieswere significantly different between the two growth stages and related closely to different RPE patterns. This study provides deeper insights into the network structure of bacterial communities corresponding to RPE patterns and em-phasizes the significance of keystone taxa in RPE variation.
引用
收藏
页数:13
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