Nearshore benthic blooms of filamentous green algae in Lake Baikal

Кравцова, Л. С.; Izhboldina, L. A.; Ханаев, И. В.; Pomazkina, G. V.; Rodionova, Elena; Domysheva, V. M.; Sakirko, M. V.; Томберг, И. В.; Kostornova, T. Ya.; Kravchenko, Olga; Kupchinsky, А. B.

doi:10.1016/j.jglr.2014.02.019

Cited by 131 publications

(79 citation statements)

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“…In particular, a drop in pH from 7.9 to 7.2, along with increased concentrations of nitrate (1.4-fold), phosphate (1.5-fold), ammonium (from 0.005 to 0.56 mg/L), and nitrite ions (from 0.002 to 0.05 mg/L), was detected in the water sampled near the bottom. At this site, the sponge disease appeared concomitantly with a green algae bloom described by Kravtsova et al [71,72] and attributed to a local eutrophication. The relationship between the sponge BRS and this eutrophication event is unclear; however, the green algae proliferation significantly affected the sponge environment, the substrate and light availability, and the water quality, and thus likely disturbed sponge filter-feeding, growth, and reproduction ability.…”

Section: Discussionsupporting

confidence: 51%

Brown Rot Syndrome and Changes in the Bacterial Сommunity of the Baikal Sponge Lubomirskia baicalensis

et al. 2017

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Mass mortality events have led to a collapse of the sponge fauna of Lake Baikal. We describe a new Brown Rot Syndrome affecting the endemic species Lubomirskia baicalensis. The main symptoms are the appearance of brown patches at the sponge surface, necrosis, and cyanobacterial fouling. 16S rRNA gene sequencing was used to characterize the bacterial community of healthy versus diseased sponges, in order to identify putative pathogens. The relative abundance of 89 eubacterial OTUs out of 340 detected has significantly changed between healthy and diseased groups. This can be explained by the depletion of host-specific prokaryotes and by the appearance and proliferation of disease-specific OTUs. In diseased sponges, the most represented OTUs belong to the families Oscillatoriaceae, Cytophagaceae, Flavobacteriaceae, Chitinophagaceae, Sphingobacteriaceae, Burkholderiaceae, Rhodobacteraceae, Comamonadaceae, Oxalobacteraceae, and Xanthomonadaceae. Although these families may contain pathogenic agents, the primary causes of changes in the sponge bacterial community and their relationship with Brown Rot Syndrome remain unclear. A better understanding of this ecological crisis will thus require a more integrative approach.

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Section: Discussionsupporting

confidence: 51%

Brown Rot Syndrome and Changes in the Bacterial Сommunity of the Baikal Sponge Lubomirskia baicalensis

et al. 2017

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“…Endemic freshwater Baikal sponges (Lubomirskiidae) are predominant in the bio mass among benthic organisms at depths of 3 to 25 m and are the basis of a complex symbiotic community (Pile et al, 1997). Since 2011, large scale disturbances in the spatial distribution and the structure of phyto biocenoses of the Baikal coastal zone have been revealed (Timoshkin et al, 2014;Kravtsova et al, 2014). The appearance of abnormally colored (pink) sponges Lubomirskia baicalensis (Pallas, 1771) was also detected (Bormotov, 2011).…”

Section: Introductionmentioning

confidence: 99%

The first case of disease of the sponge Lubomirskia baicalensis: Investigation of its microbiome

Деникина

Dzyuba

Belkova

et al. 2016

Biol Bull Russ Acad Sci

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The first metagenomic analysis of the microbiome of the first sample of diseased endemic sponge Lubomirskia baicalensis (Pallas, 1771) from Lake Baikal and the comparison of the results with data published earlier on the microbiome of healthy sponges were carried out. Essential changes in the composition and structure of the microbial community were detected in the diseased individual possessing an uncharacteristic pink coloring. Cyanobacteria were predominant in the community, the fraction of the representatives of Ver rucomicrobia was increased. The diversity and number of eukaryotic algae, as well as of representatives of Bacteroidetes, Proteobacteria, Actinobacteria, and Planctomycetes, were decreased. A wide range of minor phyla were eliminated. The factors affecting the composition of symbiotic communities in sponges were con sidered. It was supposed that changes in the structure of symbiotic communities resulting in mass disease and death could be caused by an increase in the methane concentration in the water column of Lake Baikal.

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“…As a result of the findings presented above, we now test the hypotheses that δ 30 Si DSi approaches can be applied in Lake Baikal to explore evidence of enhanced diatom bloom development as a response to eutrophication (“Evidence for enhanced algal productivity in Lake Baikal” section) (Kravtsova et al ; Kobanova et al ; Timoshkin et al ). We also explore the evidence for the presence of an “ Aulacoseira bloom year” in 2013, in the light of high δ 30 Si DSi signatures in the central region of Lake Baikal (“Tracing ‘ Aulacoseira bloom years’ in Lake Baikal” section).…”

Section: Discussionmentioning

confidence: 98%

“…Eutrophication has also been noted in the coastal and shallow bay regions of Lake Baikal (Kobanova et al 2016), resulting in increases in cryptophyte blooms, toxin-forming cyanobacteria blooms and thick mats of the benthic, filamentous chlorophyte Spirogyra spp., and the non-native macrophyte Elodea canadensis (Kravtsova et al 2014;Kobanova et al 2016;Timoshkin et al 2016). The combined effects of climate and eutrophication on food web structures across pelagic and shallow regions need to be addressed in Lake Baikal (O'Donnell et al 2017).…”

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confidence: 99%

Spatial differences in dissolved silicon utilization in Lake Baikal, Siberia: Examining the impact of high diatom biomass events and eutrophication

Panizzo

Roberts

Swann

et al. 2018

Limnology & Oceanography

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Recent research has highlighted how Lake Baikal, Siberia, has responded to the direct and indirect effects of climate change (e.g., ice‐cover duration), nutrient loading, and pollution, manifesting as changes in phytoplankton/zooplankton populations, community structure, and seasonal succession. Here, we combine and compare analyses of chlorophyll a (an estimate of total algal biomass), carotenoid pigments (biomarkers of algal groups), and lake water silicon isotope geochemistry (δ30SiDSi) to differentiate spatial patterns in dissolved silicon (DSi) uptake at Lake Baikal. A total of 15 sites across the three basins (south, central, and north) of Lake Baikal were sampled in August 2013 along a depth gradient of 0–180 m. Strong, significant correlations were found between vertical profiles of photic zone DSi concentrations and δ30SiDSi compositions (r = −0.81, p < 0.001), although these are strongest in the central basin aphotic zone (r = −0.98, p < 0.001). Data refute the hypothesis of DSi uptake by picocyanobacteria. Algal biomass profiles and high surface δ30SiDSi compositions suggest greater productivity in the south basin and more oligotrophic conditions in the north basin. δ30SiDSi signatures are highest at depth (20 m) in central basin sites, indicating greater (10–40%) DSi utilization at deep chlorophyll maxima. DSi limitation occurs in the pelagic central basin, probably reflecting a high diatom biomass bloom event (Aulacoseira baicalensis). Meanwhile in the more hydrologically restricted, shallow Maloe More region (central basin), both high δ30SiDSi compositions and picocyanobacteria (zeaxanthin) concentrations, respectively point to the legacy of an “Aulacoseira bloom year” and continuous nutrient supply in summer months (e.g., localized eutrophication).

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Nearshore benthic blooms of filamentous green algae in Lake Baikal

Cited by 131 publications

References 10 publications

Brown Rot Syndrome and Changes in the Bacterial Сommunity of the Baikal Sponge Lubomirskia baicalensis

Brown Rot Syndrome and Changes in the Bacterial Сommunity of the Baikal Sponge Lubomirskia baicalensis

The first case of disease of the sponge Lubomirskia baicalensis: Investigation of its microbiome

Spatial differences in dissolved silicon utilization in Lake Baikal, Siberia: Examining the impact of high diatom biomass events and eutrophication

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