Distinct distribution patterns of ammonia-oxidizing archaea and bacteria in sediment and water column of the Yellow River estuary

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作者
Mingcong Li
Guangshan Wei
Wenchong Shi
Zhongtao Sun
Han Li
Xiaoyun Wang
Zheng Gao
机构
[1] Shandong Agricultural University,State Key Laboratory of Crop Biology
[2] Shandong Agricultural University,College of Life Sciences
[3] University of Oklahoma,Department of Botany and Microbiology, Institute for Environmental Genomics
[4] Third Institute of Oceanography,Key Laboratory of Marine Genetic Resources
[5] SOA,South China Sea Resource Exploitation and Protection Collaborative Innovation Center (SCS
[6] Sun Yat-Sen University,REPIC)
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Ammonia oxidation is a critical process of estuarine nitrogen cycling involving ammonia-oxidizing archaea (AOA) and bacteria (AOB). However, the distribution patterns of ammonia-oxidizing microorganisms (AOMs) between different habitats in the same area remain unclear. The present study investigated the AOMs’ abundance and community compositions in both sediment and water habitats of the Yellow River estuary. Quantitative PCR (qPCR) revealed that AOA showed significant higher abundance than AOB both in sediment and water samples. AOA and AOB abundance distribution trends were consistent in sediment but distinct in water along the sampling sites. Clone library-based analyses showed that AOA sequences were affiliated with Nitrososphaera, Nitrosopumilus and Nitrosotalea clusters. Generally, Nitrososphaera was predominant in sediment, while Nitrosopumilus and Nitrosotalea dominated in water column. AOB sequences were classified into genera Nitrosospira and Nitrosomonas, and Nitrosospira dominated in both habitats. Principal coordinate analysis (PCoA) also indicated AOA community structures exhibited significant differences between two habitats, while AOB were not. Ammonium and carbon contents were the potential key factors to influence AOMs’ abundance and compositions in sediment, while no measured variables were determined to have major influences on communities in water habitat. These findings increase the understanding of the AOMs’ distribution patterns in estuarine ecosystems.
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