Algae control in oligotrophic surface water under the joint effect of nutritional competition and microbial algae-lytic substances

Gao, Xiyan; Xie, Wei; Liu, Zhi-Pei

doi:10.1039/d1ew00563d

Cited by 6 publications

(4 citation statements)

References 48 publications

(65 reference statements)

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“…The microalgae dual culture will increase the genetic diversity of the system and enhance the competition, which may improve the utilization efficiency of resources in the environment by microalgae, but the competition between microalgae species also enhance the consumption of energy. 40 When the energy consumption of maintaining competition is greater than the energy output brought by competition, it will lead to a decrease in the energy output of the system. 11 Therefore, the selection of microalgae combinations is crucial for the enhancement of microalgae biomass yields.…”

Section: Resultsmentioning

confidence: 99%

Construction of microalgae polyculture based on key population analysis to improve biomass production in municipal wastewater

Liu

Shang

Pan

et al. 2022

Environ. Sci.: Water Res. Technol.

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Section: Resultsmentioning

confidence: 99%

Construction of microalgae polyculture based on key population analysis to improve biomass production in municipal wastewater

Liu

Shang

Pan

et al. 2022

Environ. Sci.: Water Res. Technol.

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“…and Scenedesmus sp. cells using bacilysin (Gao et al 2022 ). Here, MERYL5-20 can strongly inhibit the growth of C. raciborskii FACHB-1503, clearly expanding the antimicrobial scope of B. velezensis .…”

Section: Discussionmentioning

confidence: 99%

Microbial community structures and bacteria-Cylindrospermopsis raciborskii interactions in Yilong Lake

Jin,

Ren,

et al. 2024

FEMS Microbiology Ecology

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Cylindrospermopsis raciborskii-dominated harmful algae blooms (HABs) have been reported globally in recent years. However, our understanding of the ecology of C. raciborskii in natural conditions is still poor. In this study, we collected the water samples from a C. raciborskii-blooming lake, Yilong Lake, in Yunnan province, China, and used both culture-dependent and culture-independent approaches to investigate their microbial communities and the interactions between C. raciborskii and the other bacteria. The composition and diversity of microbial communities were revealed with 16S rRNA gene high-throughput sequencing data analysis. Microbial co-occurrences analysis suggests C. raciborskii may have complex associations with other bacteria. Based on co-inoculation tests, we obtained 14 strains of bacterial strains from the water samples that exhibited either algicidal or promoting effects on a strain of C. raciborskii. Two bacterial isolates exhibited a consistent performance between co-occurrence analysis and experimental result. Effects of these bacteria-algae interspecies interactions on the bloom event were discussed. All these results may shed new insights into the C. raciborskii-dominated blooms and how its interspecies relationships with other bacteria may influence the bloom events in eutrophic waters over the world.

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“…A data matrix, including algal cell density (ACD, cell/L), pH, dissolved oxygen (DO, mg/L), five-day biochemical oxygen demand (BOD 5 , mg/L), ammonia nitrogen (NH 3 -N, mg/L), total phosphorus (TP, mg/L), total nitrogen (TN, mg/L), fluoride (F − , mg/L), water temperature (WT, °C), sulphate (SO 4 2− , mg/L), faecal coliform bacteria (F. coli, colonies/L), mercury (Hg, μg/L), arsenic (As, μg/L), copper (Cu, μg/L), zinc (Zn, μg/L), selenium (Se, μg/L), flow velocity (V, m/s), and flow discharge (Q, m 3 /s), was used for the first step of analysis. Since the water quality of the main canal maintained an excellent status (Nong et al, 2020;Tang et al, 2022), and most of the heavy metal elements and physicochemical indicators had narrow vary ranges, the WT, Q, V, DO, NH 3 -N, TP, and TN were selected as the basic indicators that may affect ACD in the main canal based on the pre-review (Song et al, 2018;Zhang et al, 2018;Gao et al, 2022). The ACD was obtained by collecting 1,000 mL of water samples at 0.5 m below the river center's surface and adding 10-15 mL of Lugol's iodine solution.…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

Algal proliferation risk assessment using Vine Copula-based coupling methods in the South-to-North Water Diversion Project of China

Nong

Zeng

et al. 2023

Front. Ecol. Evol.

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The Middle Route of the South-to-North Water Diversion Project of China (MRSNWDPC), i.e., the longest inter-basin water diversion project (1,432 km) in the world, has delivered more than 60 billion m3 of water resources to North China and benefiting more than 100 million people since December 2014. However, the abnormal algal proliferation in the main canal under low nutrient background has seriously threatened the water quality safety of this mega project. In this research, 3 years of monitoring data matrix, including water temperature (WT), flow discharge (Q), flow velocity (V), dissolved oxygen (DO), and the algal cell density (ACD), from the main canal of the MRSNWDPC were analyzed. The nonlinear relationships were determined based on multiple regression models, and a composite risk analysis model was constructed by Latin hypercube sampling (LHS) method coupled with Vine Copula function. The impacts of different hydrological and environmental factors on algal proliferation were comprehensively analyzed by Bayesian theory. The results showed that the WT gradually decreased from upstream to downstream, with a narrow range of 16.6–17.4°C, and the annual average concentrations of DO showed a gradual increase from upstream to downstream. The flow velocity of MRSNWDPC had a tendency to increase year by year, and the maximum flow velocity exceeds 0.8 m/s upstream, midstream and downstream by 2018. The ACD accumulated along the main canal, and the annual average ACDs of downstream were the highest, ranging from 366.17 to 462.95 × 104 cells/L. The joint early-warning method considering both water temperature and flow velocity conditions is an effective way for algal proliferation risk warning management. When water temperatures of the upstream, midstream, and downstream were below 26, 26, and 23°C, respectively, the algal proliferation risk can be controlled under 50% by the flow velocity at 0.3 m/s; otherwise, the flow velocity needs to be regulated higher than 0.8 m/s. In order to keep the midstream and downstream avoid abnormal algal proliferation events (ACD ≥ 500 × 104 cells/L), the corresponding ACDs of the upstream and midstream need to be controlled lower than 319 × 104 cells/L and 470 × 104 cells/L, respectively. This study provides a scientific reference for the long-distance water diversion project’s algal control and environmental protection. The proposed coupling Vine Copula models can also be widely applied to multivariate risk analysis fields.

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Algae control in oligotrophic surface water under the joint effect of nutritional competition and microbial algae-lytic substances

Abstract: Harmful algal abnormal proliferation presents the most severe threat to the quality of oligotrophic surface water even in source water such as South-to-North Water Diversion Project in China. A novel...

Cited by 6 publications

References 48 publications

Construction of microalgae polyculture based on key population analysis to improve biomass production in municipal wastewater

Construction of microalgae polyculture based on key population analysis to improve biomass production in municipal wastewater

Microbial community structures and bacteria-Cylindrospermopsis raciborskii interactions in Yilong Lake

Algal proliferation risk assessment using Vine Copula-based coupling methods in the South-to-North Water Diversion Project of China

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