Evidence map›Paper›PMID 40871348›Full record

ArticleMicroorganisms2025

Urban Wetland Sediments in Yangzhou: Physicochemical Properties, Microbial Communities, and Functional Associations.

Dongmei He, Liwen Li, Runyang Zhou, Sumei Qiu, Wei Xing, Yingdan Yuan

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Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dongmei HeJiangsu Academy of Forestry, Nanjing 211153, China.
Liwen LiCollege of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Runyang ZhouCollege of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Sumei QiuCollege of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.
Wei XingJiangsu Academy of Forestry, Nanjing 211153, China.
Yingdan YuanCollege of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-7819-7462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban wetlands play a crucial role in maintaining ecological balance, carbon sequestration, and water purification. Sediments are key carriers for wetlands to store elements such as carbon, nitrogen, and phosphorus in the aquatic environment. This study analyzed different sediment layers of seven wetlands in Yangzhou, aiming to explore the relationship between physicochemical factors and microbial communities in wetland sediments, as well as to predict the functions of microbial communities. Functional prediction of microbial communities was conducted based on amplicon sequencing analysis, and the neutral community model was used to determine the formation and evolution process of microbial communities. The results showed that in three wetlands, namely Zhuyu Bay (ZYW), Luyang Lake (LYH), and Runyang Wetland (RYSD), the contents of carbon components (total carbon, total soluble carbon, microbial biomass carbon) in the 0-20 cm sediment layer were higher, while the carbon component contents in Baoying Lake (BYH) showed the opposite trend. Among them, the contents of total nitrogen, alkali-hydrolyzable nitrogen, total phosphorus, available phosphorus, total potassium, and available potassium in the 0-20 cm sediment layer of Runyang Wetland (RYSD) were significantly the highest. This indicates that in Runyang Wetland (RYSD), the 0-20 cm layer has more abundant carbon components and mineral nutrients compared to the 20-40 cm layer. Among the seven wetlands, it was found that the content of total potassium was all greater than 10 g/kg, which was much higher than the contents of total phosphorus and total nitrogen. Analysis of microbial communities revealed that the dominant archaeal phyla were Thaumarchaeota and Euryarchaeota, and the dominant bacterial phyla were Proteobacteria and Acidobacteria. The distribution of functional genes was mainly concentrated in Zhuyu Bay (ZYW) and Luyang Lake (LYH). Zhuyu Bay Wetland (ZYW) had potential advantages in light utilization function, and Luyang Lake (LYH) had potential advantages in carbon and nitrogen cycle functions. The assembly process of the archaeal community was mainly affected by stochastic processes, while the bacterial community was mainly affected by deterministic processes. However, water content, total phosphorus, and available potassium all had strong correlations with both archaeal and bacterial communities. The research results preliminarily reveal the connections between the physicochemical properties of sediments, microbial communities, and their potential functions in Yangzhou urban wetlands, providing an important scientific basis for the protection and management of wetland ecosystems.

Indexed as

microbial communityNCMsediment carbonsediment nitrogenurban wetland sediments

Identifiers

PMID40871348
PMCPMC12388665

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.