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作 者:Congyu Li Yu Ling Yanjie Zhang Haiyan Wang Huan Wang Guokai Yan Weiyang Dong Yang Chang Liang Duan
机构地区:[1]State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing 100012,China [2]College of Environmental Science and Engineering,Tongji University,Shanghai 200092,China [3]College of Water Sciences,Beijing Normal University,Beijing 100875,China [4]Research Center of Environmental Pollution Control Technology,Chinese Research Academy of Environmental Science,Beijing 100012,China [5]State Environmental Protection Key Laboratory of Estuarine and Coastal Environment,Chinese Research Academy of Environmental Sciences,Beijing 100012,China
出 处:《Journal of Environmental Sciences》2024年第10期87-99,共13页环境科学学报(英文版)
基 金:Thisworkwas supported by the National Key R&D Program of China(No.2019YFC0408602).
摘 要:There is a lack of understanding about the bacterial,fungal and archaeal communities’composition of solid-phase denitrification(SPD)systems.We investigated four SPD systems with different carbon sources by analyzing microbial gene sequences based on operational taxonomic unit(OTU)and amplicon sequence variant(ASV).The results showed that the corncob-polyvinyl alcohol sodium alginate-polycaprolactone(CPSP,0.86±0.04 mg NO_(3)^(−)-N/(g·day))and corncob(0.85±0.06 mg NO_(3)^(−)-N/(g·day))had better denitrification efficiency than polycaprolactone(PCL,0.29±0.11 mg NO_(3)^(−)-N/(g·day))and polyvinyl alcoholsodium alginate(PVA-SA,0.24±0.07 mg NO_(3)^(−)-N/(g·day)).The bacterial,fungal and archaeal microbial composition was significantly different among carbon source types such as Proteobacteria in PCL(OTU:83.72%,ASV:82.49%)and Rozellomycota in PVA-SA(OTU:71.99%,ASV:81.30%).ASV methods can read more microbial units than that of OTU and exhibit higher alpha diversity and classify some species that had not been identified by OTU such as Nanoarchaeota phylum,unclassified_f_Xanthobacteraceae genus,etc.,indicating ASV may be more conducive to understand SPD microbial communities.The co-occurring network showed some correlation between the bacteria fungi and archaea species,indicating different species may collaborate in SPD systems.Similar KEGG function prediction results were obtained in two bioinformatic methods generally and some fungi and archaea functions should not be ignored in SPD systems.These results may be beneficial for understanding microbial communities in SPD systems.
关 键 词:Solid-phase denitrification Solid carbon source Microbial community ASV analysis OTU analysis
分 类 号:X172[环境科学与工程—环境科学]
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