Spatial Distribution and Driving Factors of Nitrogen Cycle Genes in Urban Landscape Lake

Hua Zhong (), Peng Li, Xin Xu, Maoting Ma, Chengjun Zhang, Lianfeng Du and Xuan Guo ()
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Hua Zhong: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Peng Li: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Xin Xu: Management Office, Beijing Zizhuyuan Park, Beijing 100081, China
Maoting Ma: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Chengjun Zhang: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Lianfeng Du: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Xuan Guo: Institute of Plant Nutrition, Resources and Environment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

Sustainability, 2024, vol. 17, issue 1, 1-16

Abstract: Urban landscape lakes are increasingly at risk of nitrogen-induced eutrophication. Microbial nitrogen transformation plays a crucial role in reducing nitrogen levels in these lakes. However, the relationships between microbial communities, nitrogen functional genes, and nitrogen dynamics in water and sediment, along with their underlying mechanisms, remain unclear. In this study, we systemically investigated the spatial distributions of physicochemical indicators in the overlying water and sediment in a typical urban landscape lake, Zizhuyuan Park, and the microbial communities and nitrogen cycling genes in the surface sediments of the lake connection (CO), side (SI), and center (CE) were evaluated via macrogenetic sequencing technology to analyze their relationships with environmental factors. The results revealed that the concentrations of TN, NO 3 − , and NH 4 + in the lake water were within the ranges of 1.36~2.84, 0.98~1.92, and 0.01~0.29 mg·L −1 , respectively. The concentrations of TN, NO 3 − , and NH 4 + in the sediments ranged from 1.17~3.47 g·kg −1 , 0.88~1.94 mg·kg −1 , and 5.61~10.09 mg·kg −1 , respectively. The contents of NH 4 + in water, TN and NO 3 − in sediments were significantly different in spatial distribution ( p < 0.05). At the CE site, the Shannon diversity index was the highest and differed significantly from the values at the SI and CO sites ( p < 0.01).The sediments of Central Lake contained a total of 36 phyla and 1303 genera of microorganisms. Proteobacteria (62.88–64.83%) and Actinobacteria (24.84–26.62%) accounted for more than 85% of the microorganisms. Nitrospirae, Ignavibacteriae, and Bacteroidetes were significantly different ( p < 0.05) at the CE, and Planctomycetes were significantly different ( p < 0.05) at the CO. The functional gene nrfA exhibited the highest abundance, followed by napA , nosZ , nirS , hao , ureC , norB , nifH , nirK , hdhA , nifB , and amoA . The abundances of hao and nifH differed significantly at various locations in Central Lake ( p < 0.05). The key nitrogen transformation processes in the sediments, ranked by contribution rate, were DNRA, denitrification, nitrification, ammoniation, nitrogen fixation, and anammox. The six nitrogen processes showed significant differences ( p < 0.01) in spatial distribution. The pH, TN, NO 3 − , NH 4 + , C/N ratio of the sediment, and NH 4 + in the lake water impact the microbial community and nitrogen conversion process. The sediment should be cleaned regularly, and the water cycle should be strengthened in urban landscape lakes to regulate microorganisms and genes and ultimately reduce nitrogen and control eutrophic water. This study can provide a reference for improving and managing lake water environments in urban landscapes.

Keywords: urban landscape lake; overlying water; sediments; microbial community; nitrogen function gene; environmental factor (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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