Long-term fertilization promotes the microbial-mediated transformation of soil dissolved organic matter
文献类型： 外文期刊
作者： Xia, Mingming 1 ; Li, Pengfa 1 ; Liu, Jia 5 ; Qin, Wenjing 5 ; Dai, Qingjun 6 ; Wu, Meng 1 ; Li, Zhongpei 1 ; Li, Daming 7 ; Liu, Ming 1 ;
作者机构： 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
4.Nanjing Agr Univ, Coll Life Sci, Dept Microbiol, Key Lab Microbiol Agr Environm Minist Agr, Nanjing 210095, Peoples R China
5.Jiangxi Acad Agr Sci, Soil & Fertilizat & Resources & Environm Inst, Natl Engn & Technol Res Ctr Red Soil Improvement, Nanchang 330200, Peoples R China
6.Minist Agr & Rural Affairs, Cultivate Land Qual Monitoring & Protect Ctr, Beijing 100125, Peoples R China
7.Jiangxi Inst Red Soil & Germplasm Resource, Nanchang 330029, Peoples R China
期刊名称：COMMUNICATIONS EARTH & ENVIRONMENT （ 影响因子：8.9； 五年影响因子：9.5 ）
ISSN：
年卷期： 2025 年 6 卷 1 期
页码：
收录情况： SCI
摘要： Understanding dissolved organic matter (DOM) transformation is crucial for comprehending soil biogeochemical cycling. However, the extent that soil microbes mediate DOM transformation at the molecular level, and whether this is regulated by fertilization remain largely unknown. Here we investigated soil DOM transformations under long-term fertilization using Fourier-transform ion cyclotron resonance mass spectrometry, high-throughput sequencing, and machine learning. Fertilization greatly promoted transformation potential of DOM molecules. Organic fertilization increased the mean transformation number of DOM molecules by 260% compared to no-fertilization, while chemical fertilization increased it by 193%. Machine learning indicated that intrinsic DOM molecular characteristics could predict transformation potential, especially for medium- or low-transformation-potential molecules. However, high-transformation-potential DOM molecules were more influenced by soil microorganisms. Our study provides a parameter to characterize potential transformation capacity of DOM molecules, the effects of different fertilization treatments on this potential, and highlights microbial contributions to molecular transformation processes, identifying the key microbial groups.
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