Characteristics of microbial community structure and influencing factors of Yangcheng Lake and rivers entering Yangcheng Lake during the wet season

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9565 - 9581

Published: Jan. 9, 2024

Language: Английский

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Extreme trophic tales: deciphering bacterial diversity and potential functions in oligotrophic and hypereutrophic lakes

BMC Microbiology, Journal Year: 2024, Volume and Issue: 24(1)

Published: Sept. 14, 2024

Language: Английский

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Differences in sediment carbon-fixation rate and associated bacterial communities in four wetland types in Hulun Lake Basin

CATENA, Journal Year: 2022, Volume and Issue: 213, P. 106167 - 106167

Published: March 4, 2022

Language: Английский

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Functional keystone drive nitrogen conversion during different animal manures composting

Bioresource Technology, Journal Year: 2022, Volume and Issue: 361, P. 127721 - 127721

Published: July 30, 2022

Language: Английский

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Geographic distribution of bacterial communities of inland waters in China

Environmental Research, Journal Year: 2024, Volume and Issue: 249, P. 118337 - 118337

Published: Feb. 5, 2024

Language: Английский

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Feasibility analysis of reclaimed water reuse based on water quality data and microbial community structure study

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 174781 - 174781

Published: July 31, 2024

Language: Английский

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Seasonal Dynamics of the Bacterial Community in Lake Urmia, a Hypersaline Ecosystem

Biology, Journal Year: 2025, Volume and Issue: 14(1), P. 75 - 75

Published: Jan. 15, 2025

Lake Urmia is one of the world’s most unique and hypersaline aquatic ecosystems. The aim this study was to investigate diversity, abundance frequency these microorganisms in water samples from eastern regions lake over four seasons. Amplicon sequencing for 16S rRNA gene performed examine bacterial communities samples. revealed significant seasonal variations quality parameters their influence on microbial communities. Majority rarity analyses showed that winter spring had higher core Gini index values, indicating a greater dominance certain genera, while autumn summer more balanced distribution. Analysis beta diversity using Bray–Curtis dissimilarity emphasized diverge strongly winter, reflecting changes environment with season. Overall, understanding variation chemistry critical effective ecosystem management conservation efforts.

Language: Английский

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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 21, 2025

Climate change and human activities affect the biomass of different algal succession dominant species. In past, phytoplankton phyla inversion has been focused on oceanic continental shelf waters, while in inland lakes reservoirs is still initial exploratory stage, research results are relatively few. Especially for mid-to-high latitude lakes, even more blank. Therefore, this study proposes a machine learning method based OLCI/Sentinel-3 satellite imagery to retrieve abundance. Remote sensing models were developed estimate abundance three major groups: Cyanophyta, Chlorophyta, Bacillariophyta. This compared evaluated 6 commonly used models, including extreme gradient boosting (XGBoost), support vector regression (SVR), backpropagation neural network (BP), decision tree (GBDT), random forest (RF), categorical (CatBoost). The indicated that XGBoost exhibited highest accuracy (R2 = 0.92, RMSE 1.78%, MAPE 9.96%) estimating Cyanophyta's RF model demonstrated Chlorophyta's 0.72, 6.57%, 50.8%), GBDT Bacillariophyta's 0.9, 4.66%, 47.87%). subsequently applied all cloud-free OLCI images from Hulun Lake during ice-free periods 2016 2023, producing spatiotemporal distribution maps Cyanophyta dominated (44.62 ± 3.47%), followed by Bacillariophyta (36.35 2.68%), Chlorophyta had lowest proportion (10.42 1.08%). Together, these algae groups constituted 91.4 1.55% Lake. Significant annual variations observed, whereas those remained stable. Additionally, examined effects climatic factors water quality parameters algae. findings suggest temperature, wind speed, atmospheric pressure critical influencing groups. not only fills gaps related field, but also provides new monitoring algae, as well strong realizing goals sustainable management resources ecological protection.

Language: Английский

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Mechanisms Driving Seasonal Succession and Community Assembly in Sediment Microbial Communities Across the Dali River Basin, the Loess Plateau, China

Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 319 - 319

Published: Feb. 1, 2025

Microorganisms are instrumental in river ecosystems and participate biogeochemical cycles. It is thought that dynamic hydrological processes rivers influence microbial community assembly, but the seasonal succession assembly of sediments on Loess Plateau remain unclear. This study used high-throughput sequencing technology (16S ITS) neutral model to analyze associated with communities Dali River, a tributary Yellow River Plateau. The results showed sediment bacterial fungal diversity indexes non-flood season were 1.03–3.15 times greater than those flood season. There obvious variations between seasons microorganisms. similarities among all, abundant, rare decreased as geographical distance increased. Proteobacteria (52.5–99.6%) Ascomycota (22.0–34.2%) primary phyla communities. Sediment ammonia nitrogen, water temperature, organic carbon significantly affected (p < 0.05) structure microorganism ecological networks for had complex topological parameters. was driven by deterministic processes, while dominated stochastic processes. These expanded understanding about characteristics provided insights into factors driving networks.

Language: Английский

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Similar but different assembly processes of bacterial and micro-eukaryotic communities in an urban river

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 26, 2025

Bacteria and micro-eukaryotes play important roles in river ecological systems. The processes that govern bacterial micro-eukaryotic communities urban rivers are still uncertain. spatiotemporal characteristics assembly of the Xiangjianghe River were explored using 16 S 18 rRNA gene amplicon sequencing present study. results indicate community composition exhibited distinct temporal spatial variation. topological co-occurrence networks demonstrate coexistence patterns vary significantly between four seasons. Water temperature (WT) oxidation-reduction potential (ORP) detected as most critical factors affecting structure. stochastic process (dispersal limitation) was dominant for bacteria all Deterministic influenced differently. Compared to bacteria, values niche breadth relatively lower, proportion deterministic higher micro-eukaryotes. These expand our understanding patterns, mechanisms, influencing rivers.

Language: Английский

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