Denitrifying anaerobic methane-oxidizing bacteria in river networks of the Taihu Basin: Community dynamics and assembly process DOI Creative Commons
Ruyue Wang, Sai Xu, Yuxiang Zhu

et al.

Frontiers in Microbiology, Journal Year: 2022, Volume and Issue: 13

Published: Dec. 20, 2022

Denitrifying anaerobic methane-oxidizing bacteria (DAMO bacteria) plays an important role in reducing methane emissions from river ecosystems. However, the assembly process of their communities underlying different hydrologic seasons remains unclarified. In this study, dynamics DAMO bacterial networks Taihu Basin were investigated by amplicon sequencing across wet, normal, and dry followed multiple statistical analyses. Phylogenetic analysis showed that Group B was major subgroup significant for observed (constrained principal coordinate analysis, p = 0.001). Furthermore, neutral community model normalized stochasticity ratio applied to reveal process. Stochastic deterministic dominated wet season normal season, respectively similar contributions stochastic processes season. Meanwhile, abundant (relative abundance >0.1%) rare <0.01%) found be shaped via distinct processes. Deterministic played a considerable shaping communities, while mainly communities. Results study revealed provided theoretical basis further understanding

Language: Английский

Spatio-temporal distribution of harmful algal blooms and their correlations with marine hydrological elements in offshore areas, China DOI Creative Commons
Chao Chen, Jintao Liang, Gang Yang

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 238, P. 106554 - 106554

Published: March 10, 2023

Language: Английский

Citations

52
Phytoplankton community and HAB species in the South China Sea detected by morphological and metabarcoding approaches DOI
Zhaohui Wang, Lei Liu,

Yali Tang

et al.

Harmful Algae, Journal Year: 2022, Volume and Issue: 118, P. 102297 - 102297

Published: Aug. 10, 2022

Language: Английский

Citations

43
Harmful algal blooms in China: History, recent expansion, current status, and future prospects DOI Creative Commons
Zhiming Yu, Ying Zhong Tang, Christopher J. Gobler

et al.

Harmful Algae, Journal Year: 2023, Volume and Issue: 129, P. 102499 - 102499

Published: Sept. 9, 2023

The impacts of harmful algal blooms (HABs) on economies, public health, ecosystems, and aquaculture across the globe have all increased in recent decades, this has been acutely case China. Here, we review history HABs research China, as well trends future prospects HAB science most updated analyses demonstrated that number events, species, aerial coverage HABs, Chinese waters during 21st century were higher than last two decades 20th century. increase China significantly correlated with discharge ammonium total phosphorus into coastal (p < 0.01 for both). Notable newly recognized events included chronic caused by Prorocentrum donghaiense Karenia mikimotoi, a paralytic shellfish poisoning event Gymnodinium catenatum sickened 80 people, brown tides Aureococcus anophagefferens, green Ulva prolifera, golden Sargassum horneri, disruption nuclear power plant bloom Phaeocystis globosa. A series key discoveries regarding made including documentation nearly known toxins waters, discovery novel cyst-formation and/or life stages multiple HABs-causing identification chemical physical oceanographic drivers those formed P. donghaiense, K. U. successful mitigation via use modified clay approaches. Future highlighted include macroalgae means to prevent, mitigate, control (PCM) process which multi-disciplinary studies involving molecular approaches (omics), remote situ detection, artificial intelligence, mega-data might be used develop refined realistic forecasting platforms. Collectively, demonstrates significant evolution since while are complex widespread, on-going make development detailed understanding effective measures mitigate negative effects hopeful outcome coming years.

Language: Английский

Citations

36
A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration DOI Creative Commons
Daeyong Jin, Eojin Lee,

Kyonghwan Kwon

et al.

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(10), P. 2003 - 2003

Published: May 20, 2021

In this study, we used convolutional neural networks (CNNs)—which are well-known deep learning models suitable for image data processing—to estimate the temporal and spatial distribution of chlorophyll-a in a bay. The training required construction model acquired from satellite ocean color hydrodynamic model. Chlorophyll-a, total suspended sediment (TSS), visibility, colored dissolved organic matter (CDOM) were extracted data, water level, currents, temperature, salinity generated We developed CNN Model I—which estimates concentration using 48 × 27 sized overall image—and II—which uses 7 segmented image. Because II conducts estimation only around points interest, quantity is more than 300 times larger that I. Consequently, it was possible to extract analyze inherent patterns improving predictive ability average root mean square error (RMSE), calculated by applying II, 0.191, when prediction good, coefficient determination (R2) exceeded 0.91. Finally, performed sensitivity analysis, which revealed CDOM most influential variable estimating spatiotemporal chlorophyll-a.

Language: Английский

Citations

35
Metabarcoding analysis identifies high diversity of harmful algal bloom species in the coastal waters of the Beibu Gulf DOI Creative Commons
Liyan He, Zhiming Yu, Xin Xu

et al.

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(5)

Published: May 1, 2023

Harmful algal blooms (HABs) have occurred more frequently in recent years. In this study, to investigate their potential impact the Beibu Gulf, short-read and long-read metabarcoding analyses were combined for annual marine phytoplankton community HAB species identification. Short-read showed a high level of biodiversity area, with Dinophyceae dominating, especially Gymnodiniales. Multiple small phytoplankton, including Prymnesiophyceae Prasinophyceae, also identified, which complements previous lack identifying those unstable after fixation. Of top 20 genera 15 HAB-forming genera, accounted 47.3%-71.5% relative abundance phytoplankton. Based on metabarcoding, total 147 OTUs (PID > 97%) belonging identified at level, 118 species. Among them, 37 belonged species, 98 reported first time Gulf. Contrasting two approaches class they both predominance Dinophyceae, included abundances Bacillariophyceae, Prymnesiophyceae, but contents classes varied. Notably, results quite different below genus level. The diversity probably due special life history multiple nutritional modes. Annual variation revealed study provided basis evaluating aquaculture even nuclear power plant safety

Language: Английский

Citations

16
Diversity and Distribution of Harmful Algal Bloom Species from Seamount to Coastal Waters in the South China Sea DOI Creative Commons
Hailong Huang, Shuaishuai Xu, Shuangqing Li

et al.

Microbiology Spectrum, Journal Year: 2023, Volume and Issue: 11(2)

Published: Feb. 23, 2023

Mount Xianbei is one of the largest shallow seamounts located in middle South China Sea (SCS), which might play a role shaping biodiversity surrounding continental coastal waters, particularly diversity phytoplankton species causing frequent harmful algal blooms (HABs) northern SCS. However, diversity, composition, and distribution seamount regions remain largely unexplored. In this study, samples around outside were collected during late summer cruise 2021 to test whether HAB propagation. total, we identified 19 across all using ASV-based DNA metabarcoding approach, 6 had not been reported previously SCS, suggesting diverse Specifically, 16 found region Xianbei, 5 them also indicating close connection between waters. This study was first attempt explore species' spatial vertical at single-nucleotide resolution, provides novel explanation for occurrence

Language: Английский

Citations

11
Molecular diversity and potential ecological risks of toxic HAB species in the coastal waters off Qinhuangdao, China DOI
Yang Chen, Jing Ning, Du Su

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126121 - 126121

Published: March 1, 2025

Language: Английский

Citations

0
The combination of microscopic and metabarcoding analyses revealed a high diversity of algal bloom species in the Taiwan Strait DOI
Yuning Zhang,

Lanping Lin,

Zheng Hu

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 216, P. 118027 - 118027

Published: April 22, 2025

Language: Английский

Citations

0
Metabarcoding reveals high species diversity of Chaetoceros, Pseudo-nitzschia, and Thalassiosira in Hong Kong coastal waters, a typical subtropical region DOI
Xiaodong Zhang, Jiawei Chen, Zhimeng Xu

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 212, P. 117549 - 117549

Published: Jan. 18, 2025

Language: Английский

Citations

0
Response of diatoms to environmental changes in the Porphyra cultivation system in Haizhou Bay using GBT model and GAM DOI
Shuo Chen,

Haibin Han,

Jin‐Chen Yu

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 215, P. 117846 - 117846

Published: April 2, 2025

Language: Английский

Citations

0