4.8 Article

Insight into the influence of biochar on nitrification based on multi-level and multi-aspect analyses of ammonia-oxidizing microorganisms during cattle manure composting

期刊

BIORESOURCE TECHNOLOGY
卷 339, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2021.125515

关键词

Biochar; Nitrification; Cattle manure; Ammonia-oxidizing microorganisms

资金

  1. National Natural Science Foundation of China [31672469]

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In this study, the influence of biochar on nitrification of cattle manure composting was explored by analyzing the ammonia-oxidizing microorganisms (AOMs) at multiple levels and aspects. The addition of biochar increased the diversity and copy numbers of AOMs, altered the transcription of amoA genes, and reduced ammonooxygenase (AMO) activity. Different microbial taxa, such as Crenarchaeota and Nitrosomonas, played crucial roles in mediating nitrogen transformation processes influenced by biochar.
In this study, influence of biochar on nitrification was explored using multi-level (DNA, RNA, protein) and multiaspect (diversity, structure, key community, co-occurrence pattern and functional modules) analyses (M LAA) of ammonia-oxidizing microorganisms (AOMs) during cattle manure composting. Biochar addition increased the copy numbers and diversity of AOMs, restricted (36.02%) the amoA gene transcripts of archaea but increased (24.53%) those of bacteria, and reduced (75.86%) ammonooxygenase (AMO) activity. Crenarchaeota and Thaumarcheota mediated NH4+-N, Unclassified_k_norank_d_Archaea and Crenarchaeota regulated AMO activity and potential ammonia oxidation (PAO) rates. Nitrosomonas and Nitrosospira were the predominant microbial taxa influencing NH4+-N variation and PAO rates, respectively. Additionally, both Crenarchaeota and Nitrosospira played crucial roles in mediating NO3--N and NO2--N. Furthermore, biochar altered the network patterns of AOMs community by changing the keystone species and the interactivity among communities. These findings indicated that influence of biochar on nitrification could be better explained using M LAA of AOMs.

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