ArticleEnvironmental science and pollution research international2020
Differences of the microbial community structures and predicted metabolic potentials in the lake, river, and wetland sediments in Dongping Lake Basin.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 32 citations in OpenAlex.
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- Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes.Plants (Basel, Switzerland) · 2025Article
- Article
- Dynamic Response of the cbbL Carbon Sequestration Microbial Community to Wetland Type in Qinghai Lake.Biology · 2023Article
- The Spatio-Temporal Patterns of Regional Development in Shandong Province of China from 2012 to 2021 Based on Nighttime Light Remote Sensing.Sensors (Basel, Switzerland) · 2023Article
- The content, composition, and influencing factors of organic carbon in the sediments of two types of constructed wetlands.Environmental science and pollution research international · 2021Article
- Magnitudes and environmental drivers of greenhouse gas emissions from natural wetlands in China based on unbiased data.Environmental science and pollution research international · 2021Article
- Factors controlling organic carbon distributions in a riverine wetland.Environmental science and pollution research international · 2020Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
In freshwater ecosystems, wetlands are generally distinguished from deep-water ecosystems by 2-m water level as boundary. However, the difference of sediment microbial communities between wetlands and deep-water ecosystems is still unclear. We combined 16S rRNA gene sequencing and community metabolic prediction to compare sediment microbial communities and predicted metabolic genes of wetlands (natural and constructed wetlands) and deep-water ecosystems (river and lake) along with environmental factors in summer and autumn in Dongping Lake Basin. Results showed that the deep-water ecosystems had significantly higher community richness than the wetlands in autumn in the freshwater basin, which was mostly related to the pH of sediments. However, no significant difference in community richness was found in summer. Besides, the composition of both predicted metabolic genes and microbial communities was significantly affected by dissolved organic carbon (DOC) and dissolved oxygen (DO). The wetlands exhibited high predicted gene abundances related to xenobiotic biodegradation possibly due to the high DOC or DO level. Compared with the wetlands, most of the deep-water ecosystems exhibited high predicted gene abundances related to element (carbon, nitrogen, and sulfur) metabolism possibly due to the low DOC and DO levels in the freshwater basin. This study can expand the knowledge of ecological function distribution and detoxification mechanism of microbial communities in freshwater ecosystems.
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