The addition of discrimination inhibitors stimulations discrimination potential and N2O emissions were linked to predation among microorganisms in long term nitrogen application and straw returning systems

被引:1
作者
Jia, Chunhua [1 ,2 ]
Zhou, Guixiang [2 ]
Ma, Ling [1 ,2 ]
Qiu, Xiuwen [3 ]
Zhang, Jiabao [1 ,2 ]
Wang, Jingkuan [1 ]
Zhang, Congzhi [2 ]
Chen, Lin [2 ]
Ma, Donghao [2 ]
Zhao, Zhanhui [4 ]
Xue, Zaiqi [2 ]
机构
[1] Shenyang Agr Univ, Coll Land & Environm, Northeast Key Lab Conservat & Improvement Cultivat, Minist Agr & Rural Affairs, Shenyang, Peoples R China
[2] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Fengqiu Expt Stn Natl Ecosyst Res Network China, Nanjing, Peoples R China
[3] Jiangsu Vocat Coll Agr & Forestry, Coll Landscape Architecture, Jurong, Peoples R China
[4] Henan Univ Urban Construct, Sch Geomat & Urban Spatial Informat, Pingdingshan, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
protists; ammonia-oxidizing bacteria (archaea); keystone taxa; predatory relationship; N2O emission; potential nitrification rate; AMMONIA-OXIDIZING ARCHAEA; 3,4-DIMETHYLPYRAZOLE PHOSPHATE DMPP; DICYANDIAMIDE DCD; ORGANIC-MATTER; SOIL; NITRIFICATION; OXIDATION; REVEALS; COMPLEXITY; BACTERIA;
D O I
10.3389/fmicb.2023.1337507
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Introduction: Ammonia oxidizing archaea (AOA) and ammonia oxidizing bacteria (AOB) have been proven to be key microorganisms driving the ammonia oxidation process. However, under different fertilization practices, there is a lack of research on the impact of interaction between predators and AOA or AOB on nitrogen cycling at the multi-trophic level. Methods: In this study, a network-oriented microscopic culture experiment was established based on four different long-term fertilization practices soils. We used the nitrification inhibitors 2-phenyl-4,4,5,5-tetramethylimidazoline-1-oxide-3-oxyl (PTIO) and 3, 4-Dimethylpyrazole phosphate (DMPP) inhibited AOA and AOB, respectively, to explore the impact of interaction between protists and AOA or AOB on nitrogen transformation. Results: The results showed that long-term nitrogen application promoted the potential nitrification rate (PNR) and nitrous oxide (N2O) emission, and significantly increased the gene abundance of AOB, but had no obvious effect on AOA gene abundance. DMPP significantly reduced N2O emission and PNR, while PTIO had no obvious effect on them. Accordingly, in the multi-trophic microbial network, Cercozoa and Proteobacteria were identified as keystone taxa of protists and AOB, respectively, and were significantly positively correlated with N2O, PNR and nitrate nitrogen. However, Nitrososphaerota archaeon as the keystone species of AOA, had an obvious negative linkage to these indicators. The structural equation model (SEM) showed that AOA and AOB may be competitors to each other. Protists may promote AOB diversity through direct trophic interaction with AOA. Conclusion: The interaction pattern between protists and ammonia-oxidizing microorganisms significantly affects potential nitrification rate and N2O emission, which has important implications for soil nitrogen cycle.
引用
收藏
页数:14
相关论文
共 73 条
[1]  
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO
[2]  
2
[3]   Nitrous oxide emission in altered nitrogen cycle and implications for climate change [J].
Aryal, Babita ;
Gurung, Roshni ;
Camargo, Aline F. ;
Fongaro, Gislaine ;
Treichel, Helen ;
Mainali, Bandita ;
Angove, Michael J. ;
Ngo, Huu Hao ;
Guo, Wenshan ;
Puadel, Shukra Raj .
ENVIRONMENTAL POLLUTION, 2022, 314
[4]   Quantifying soil N pools and N2O emissions after application of chemical fertilizer and straw to a typical chernozem soil [J].
Bai, Jinshun ;
Qiu, Shaojun ;
Jin, Liang ;
Wei, Dan ;
Xu, Xinpeng ;
Zhao, Shicheng ;
He, Ping ;
Wang, Ligang ;
Christie, Peter ;
Zhou, Wei .
BIOLOGY AND FERTILITY OF SOILS, 2020, 56 (03) :319-329
[5]   Keystone taxa as drivers of microbiome structure and functioning [J].
Banerjee, Samiran ;
Schlaeppi, Klaus ;
van der Heijden, Marcel G. A. .
NATURE REVIEWS MICROBIOLOGY, 2018, 16 (09) :567-576
[6]   Using network analysis to explore co-occurrence patterns in soil microbial communities [J].
Barberan, Albert ;
Bates, Scott T. ;
Casamayor, Emilio O. ;
Fierer, Noah .
ISME JOURNAL, 2012, 6 (02) :343-351
[7]  
Bastian M., 2009, Proceedings of the International AAAI Conference on Web and Social Media, V3, P361
[8]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[9]  
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/nmeth.3869, 10.1038/NMETH.3869]
[10]   Trophic interrelationships drive the biogeography of protistan community in agricultural ecosystems [J].
Chen, Beibei ;
Xiong, Wu ;
Qi, Jiejun ;
Pan, Haibo ;
Chen, Shi ;
Peng, Ziheng ;
Gao, Hang ;
Zhang, Limei ;
Jiang, Yuji ;
Wei, Gehong ;
Jiao, Shuo .
SOIL BIOLOGY & BIOCHEMISTRY, 2021, 163