Influence of nutrient factors on production of mucilage by Amphora coffeaeformis var. perpusilla

Buzzelli, Elena; Gianna, R.; Marchiori, Enrico; Bruno, Marco

doi:10.1016/s0278-4343(97)00009-5

Cited by 15 publications

(5 citation statements)

References 20 publications

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“…Specifically, E. huxleyi algae showed a significant increase in TEP production under the higher nutrient regime compared to the lower nutrient regime. This observation aligns with previous studies that demonstrated nutrient-induced EPS production in algal species 15 . Notably, while algae produced more TEP per cell than bacteria, bacteria also showed a significant increase in TEP production under elevated nutrient conditions.…”

Section: Discussionsupporting

confidence: 93%

“…1b). E. huxleyi TEP production was significantly higher (p = 0.027) under the 1×PN nutrient regime, compared to the ¼×PN regime, as previously demonstrated for other algal species 15 . Under both nutrient regimes, algae produce more TEP per cell than bacteria.…”

Section: Elevated Levels Of Phosphate and Nitrate Increase Algal And ...supporting

confidence: 81%

“…These nutrient levels induce bloom-like growth of both algae and bacteria, resulting in cell densities of ~10 6 -10 7 cells/ml each 11 . Additionally, these P and N concentrations were previously shown to increase algal EPS production 15 . Therefore, this regime served as a control for nutrient concentrations that induce EPS production in E. huxleyi.…”

Section: Elevated Levels Of Phosphate and Nitrate Increase Algal And ...mentioning

confidence: 91%

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Increased Nutrient Levels Enhance the Bacterial Contribution to an Algal-Bacterial Extracellular Matrix

Lipsman,

Segev

2024

Preprint

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Microbial aggregation is central in environmental processes, such as marine snow and harmful marine mucilage events. Nutrient enrichment positively correlates with microbial aggregation. This correlation is largely attributed to the overgrowth of microalgae and the overproduction of agglomerating exopolysaccharides (EPS). However, recent studies highlight the significant contribution of bacterial EPS to algal-bacterial aggregation. Here, using controlled laboratory experiments and environmental metatranscriptomic analysis, we investigate the impact of nutrient enrichment on bacterial EPS production, while bacteria are in the context of their algal hosts. Our findings demonstrate a marked increase in bacterial EPS production in response to an increase of inorganic phosphorus and nitrogen levels, both in the lab and in the environment. These results highlight the interplay between nutrient regimes, bacterial physiology, and microbial aggregation in marine ecosystems and emphasize gaps in our understanding regarding the bacterial role in environmental processes that involve microbial aggregation.

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Section: Discussionsupporting

confidence: 93%

Section: Elevated Levels Of Phosphate and Nitrate Increase Algal And ...supporting

confidence: 81%

Section: Elevated Levels Of Phosphate and Nitrate Increase Algal And ...mentioning

confidence: 91%

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Increased Nutrient Levels Enhance the Bacterial Contribution to an Algal-Bacterial Extracellular Matrix

Lipsman,

Segev

2024

Preprint

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“…The excess of nitrogen in relation to phosphates is pointed out by [67] to be a possible trigger of liga production in a context of P limitation. A prevailing influence of nitrogen is also mentioned in situation of mucilage in the Adriatic sea in [17], in the Tasman Bay in [48], where a similar imbalance is observed but interpreted as an effect rather than a cause of TEP production.…”

Section: Imbalance N:pmentioning

confidence: 83%

A mathematical model of marine mucilage, the case of the liga on the Basque coast

Pierre,

Vallet

2023

Preprint

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In this paper we are interested in modeling the production of mucus by diatoms under the constraint of a nutrient limitation. The initial questioning comes from the observation of the so-called "liga" on the Aquitaine coast. The biological origin of the phenomenon is presented and discussed based on the existing litterature. A mathematical model is proposed and its theoretical properties are analized: well-posedness and differentiability with respect to the model parameters. Finally, numerical experiments are provided, investigating the possibility of parameter identification for the model using chemostat-type experiments.

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“…Analysis of meteorological data from the period 1865-2002 showed a significant correlation between temperature anomalies and the presence of mucilages (Deserti et al, 2005). Considering hydrological conditions, researchers (e.g., Buzzelli et al, 1997;Urbani et al, 2005) reported that mucilage formation is usually formed under oligotrophic conditions. Gotsis-Skretas (1995) reports 23 mucilage incidents regarding the coasts of Greece and states that mucilage, which usually occurs in the summer season, cannot be directly associated with eutrophication, and therefore a complex relationship exists.…”

Section: Introductionmentioning

confidence: 99%

The Use of Object-Based Image Analysis for Monitoring 2021 Marine Mucilage Bloom in the Sea of Marmara

Kavzoğlu

Tonbul

Çölkesen

et al. 2021

International Journal of Environment and Geoinformatics

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Global warming threatens ecosystems through rising temperatures, increasing sea levels, drought, and extreme weather conditions. The natural balance of seas and oceans is also at stake with recent outbreaks of mucilage events all over the world. The mucilage phenomenon, which has been frequently observed in the Adriatic and Tyrrhenian seas, has taken place the second time in the Sea of Marmara in Spring 2021. The Sea of Marmara dividing the Asian and European parts of Turkey is an important inland sea with heavy maritime traffic, hosting many industrial zones and surrounded by highly populated cities. This study aims to determine the mucilage formations that were observed intensely all around the Sea of Marmara, focusing on the coasts of Istanbul, Kocaeli, Yalova, and Bursa through classifying Sentinel-2A images dated 19 and 24 May 2021, when the peak period of mucilage bloom, using a new paradigm of object-based image analysis (OBIA) approach. To create representative and homogenous image objects, multi-resolution segmentation was applied, and its result was inputted into a classification process using Random Forest (RF) classifier to generate thematic maps. The produced results were compared with pixel-based classification and a high correlation was estimated. Objectbased classification was found effective for the determination of mucilage-covered areas (> 90% overall accuracy) for both considered dates. More specifically, areas covered with mucilage aggregates were computed as 56.15 km² and 67.51 km² for 19 May and 24 May 2021, respectively, indicating rapid growth in only 5-day period. The resulting thematic maps revealed that mucilage was heavily distributed in the gulfs of Gemlik and Izmit and along the coasts of Darica, Tuzla and Pendik.

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Influence of nutrient factors on production of mucilage by Amphora coffeaeformis var. perpusilla

Cited by 15 publications

References 20 publications

Increased Nutrient Levels Enhance the Bacterial Contribution to an Algal-Bacterial Extracellular Matrix

Increased Nutrient Levels Enhance the Bacterial Contribution to an Algal-Bacterial Extracellular Matrix

A mathematical model of marine mucilage, the case of the liga on the Basque coast

The Use of Object-Based Image Analysis for Monitoring 2021 Marine Mucilage Bloom in the Sea of Marmara

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