Community structure of epiphytic bacteria on Potamogeton pectinatus and the surrounding bacterioplankton in Hongze Lake

Jie, Ma; Shi, Ruijie; Han, Ruiming; Ji, Ming; Wang, Guoxiang

doi:10.1071/mf20212

Cited by 5 publications

(6 citation statements)

References 37 publications

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“…Growing seasons were an important factor that affected the community structure of epiphytic bacteria in submerged macrophytes. Previous studies suggest that the growing seasons affect the community structure of epiphytic bacteria through the exudation of nutrients and the production of secondary metabolites (Xia et al, 2020;He et al, 2021;Ma et al, 2021). A clear seasonal pattern in the epiphytic bacterial community structure was observed in this study.…”

Section: Discussionsupporting

confidence: 71%

“…The predomain genera Aeromonas and Pseudomonas are known for their biodegradation of a variety of organic pollutants in the environment (Johnson et al, 2013;Liao et al, 2013). Pseudomonas was the dominant genus among the epiphytic bacteria of some submerged macrophytes such as M. verticillatum, P. pectinatus, P. lucens, and C. demersum (Liu et al, 2019;Xia et al, 2020;Ma et al, 2021). To our knowledge, Aeromonas has not been found to be a predominant genus in the epiphytic bacteria of submerged macrophytes.…”

Section: Discussionmentioning

confidence: 90%

“…A phylogenetic analysis showed that the composition of epiphytic bacterial communities was relatively stable, and the dominant groups at the levels of phylum, class, and genus were the same in different samples. The dominant group at the phylum level was Proteobacteria, which is the dominant phylum of the epiphytic bacterial communities in most submerged macrophytes (Hempel et al, 2009;He et al, 2020;Xia et al, 2020;Ma et al, 2021) and plays an important role in the ability of water bodies to purify themselves (Zhang et al, 2014). The dominant class was…”

Section: Discussionmentioning

confidence: 99%

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Community Structure and Function of Epiphytic Bacteria Associated With Myriophyllum spicatum in Baiyangdian Lake, China

Sun

Wang

et al. 2021

Front. Microbiol.

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Epiphytic bacteria on the surfaces of submerged macrophytes play important roles in the growth of the host plant, nutrient cycling, and the conversion of pollutants in aquatic systems. A knowledge of the epiphytic bacterial community structure could help us to understand these roles. In this study, the abundance, diversity, and functions of the epiphytic bacterial community of Myriophyllum spicatum collected from Baiyangdian Lake in June, August, and October 2019 were studied using quantitative PCR (qPCR), high-throughput sequencing, and the prediction of functions. An analysis using qPCR showed that the epiphytic bacteria were the most abundant in October and the least abundant in August. High-throughput sequencing revealed that Proteobacteria, Gammaproteobacteria, and Aeromonas were the dominant phylum, class, and genus in all the samples. The common analyses of operational taxonomic units (OTUs), NMDS, and LDA showed that the epiphytic bacterial communities were clustered together based on the seasons. The results of a canonical correlation analysis (CCA) showed that the key water quality index that affected the changes of epiphytic bacterial community of M. spicatum was the total phosphorus (TP). The changes in abundance of Gammaproteobacteria negatively correlated with the TP. Predictive results from FAPROTAX showed that the predominant biogeochemical cycle functions of the epiphytic bacterial community were chemoheterotrophy, nitrate reduction, and fermentation. These results suggest that the epiphytic bacterial community of M. spicatum from Baiyangdian Lake varies substantially with the seasons and environmental conditions.

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Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

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Community Structure and Function of Epiphytic Bacteria Associated With Myriophyllum spicatum in Baiyangdian Lake, China

Sun

Wang

et al. 2021

Front. Microbiol.

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“…Other dominant phyla included Actinobacteria (average 16.85%), Bacteroidetes (average 15.43%), Cyanobacteria (average 6.60%), Verrucomicrobia (average 3.82%), and Firmicutes (average 1.40%). Bacteroidetes are crucial to the breakdown of complex molecules in fresh water, including cellulose and chitin (Ma et al, 2021 ). In addition, certain dominant phyla (accounting for >1% of the population) were prevalent at specific sites, such as Acidobacteria observed at L1 and L3; Gemmatimonadetes at L1, L2, and L4; and Planctomycetes at L1, L3, and L5, a phylum strongly associated with total nitrogen content (Hempel et al, 2008 ).…”

Section: Resultsmentioning

confidence: 99%

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

Lai

et al. 2023

Front. Microbiol.

Self Cite

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The excessive input of nutrients into rivers can lead to contamination and eutrophication, which poses a threat to the health of aquatic ecosystems. It is crucial to identify the sources of contaminants to develop effective management plans for eutrophication. However, traditional methods for identifying pollution sources have been insufficient, making it difficult to manage river health effectively. High-throughput sequencing offers a novel method for microbial community source tracking, which can help identify dominant pollution sources in rivers. The Wanggang River was selected for study, as it has suffered accelerated eutrophication due to considerable nutrient input from riparian pollutants. The present study identified the dominant microbial communities in the Wanggang River basin, including Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Verrucomicrobia, and Firmicutes. The Source Tracker machine-learning classification system was used to create source-specific microbial community fingerprints to determine the primary sources of contaminants in the basin, with agricultural fertilizer being identified as the main pollutant source. By identifying the microbial communities of potential pollution sources, the study determined the contributing pollutant sources in several major sections of the Wanggang River, including industry, urban land, pond culture, and livestock land. These findings can be used to improve the identification of pollution sources in specific environments and develop effective pollution management plans for polluted river water.

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“…Until now, there have been few studies on the differences between AB and NB communities. Studies have shown that the alpha diversity of the AB group was significantly lower than that of the NB communities [ 12 , 65 ]. The community diversity of the AB group was significantly lower than that of bacterioplankton, and their composition was significantly different, so the different microhabitats provided by zooplankton and water were perhaps the main factors causing the difference.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Brachionus calyciflorus-Associated Bacterial and Bacterioplankton Communities in a Subtropical Freshwater Lake

Zhang

Feng

Gao

et al. 2022

Animals

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Zooplankton bodies are organic-rich micro-environments that support fast bacterial growth. Therefore, the abundance of zooplankton-associated bacteria is much higher than that of free-living bacteria, which has profound effects on the nutrient cycling of freshwater ecosystems. However, a detailed analysis of associated bacteria is still less known, especially the relationship between those bacteria and bacterioplankton. In this study, we analyzed the relationships between Brachionus calyciflorus-associated bacterial and bacterioplankton communities in freshwater using high-throughput sequencing. The results indicated that there were significant differences between the two bacterial communities, with only 29.47% sharing OTUs. The alpha diversity of the bacterioplankton community was significantly higher than that of B. calyciflorus-associated bacteria. PCoA analysis showed that the bacterioplankton community gathered deeply, while the B. calyciflorus-associated bacterial community was far away from the whole bacterioplankton community, and the distribution was relatively discrete. CCA analysis suggested that many environmental factors (T, DO, pH, TP, PO43-, NH4+, and NO3-) regulated the community composition of B. calyciflorus-associated bacteria, but the explanatory degree of variability was only 37.80%. High-throughput sequencing revealed that Raoultella and Delftia in Proteobacteria were the dominant genus in the B. calyciflorus-associated bacterial community, and closely related to the biodegradation function. Moreover, several abundant bacterial members participating in carbon and nitrogen cycles were found in the associated bacterial community by network analysis. Predictive results from FAPROTAX showed that the predominant biogeochemical cycle functions of the B. calyciflorus-associated bacterial community were plastic degradation, chemoheterotrophy, and aerobic chemoheterotrophy. Overall, our study expands the current understanding of zooplankton–bacteria interaction and promotes the combination of two different research fields.

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Community structure of epiphytic bacteria on Potamogeton pectinatus and the surrounding bacterioplankton in Hongze Lake

Cited by 5 publications

References 37 publications

Community Structure and Function of Epiphytic Bacteria Associated With Myriophyllum spicatum in Baiyangdian Lake, China

Community Structure and Function of Epiphytic Bacteria Associated With Myriophyllum spicatum in Baiyangdian Lake, China

Microbial source tracking identifies sources of contamination for a river flowing into the Yellow Sea

The Relationship between Brachionus calyciflorus-Associated Bacterial and Bacterioplankton Communities in a Subtropical Freshwater Lake

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