Methods of neuston sampling for the quantitative characteristic of microbial communities of Lake Baikal

Galachyants, A. D.; Belkova, Natalia; Sukhanova, E. V.; Blinov, V. V.; Парфенова, В. В.

doi:10.1134/s1995082916030068

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…These were later compared against corresponding measurements of SML samples to determine which components were enriched in the SML. To collect a SML sample, a Garrett screen (57.5 cm 2 ) was attached to a nylon rope and lowered over the starboard side of the ship (Garrett, 1965;Galachyants et al, 2016;Dreshchinskii and Engel, 2017;Sabbaghzadeh et al, 2017;Drozdowska et al, 2018) until it lightly touched the surface of the ocean and then it was pulled back up to the deck. During times of SML sampling, the ship was in a stationary position and the screen was lowered down to the ocean surface close to the hull of the ship.…”

Section: Sample Collection and Storagementioning

confidence: 99%

Role of Sea Surface Microlayer Properties in Cloud Formation

et al. 2021

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To date, the relative contribution of primary marine organic matter to the subset of atmospheric particles that nucleate cloud droplets is highly uncertain. Here, cloud condensation nuclei (CCN) measurements were conducted on aerosolized sea surface microlayer (SML) samples collected from the North Atlantic Ocean during the NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES), κ values were predicted for three representative high molecular weight (HMW) organic components of marine aerosol: 6-glucose, humic acid, and ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO). The predicted κ values for pure organic aerosols varied by only ±0.01 across all of the organics chosen. For the desalted SML samples, calculations assuming an organic composition of entirely RuBisCO provided the closest predicted κ values for the desalted SML samples with a mean κ value of 0.53 ± 0.10. These results indicate that it is the sea salt in the SML which drives the cloud formation potential of marine aerosols. While the presence of organic material from the ocean surface waters may increase aerosol mass due to enrichment processes, cloud formation potential of mixed organic/salt primary marine aerosols will be slightly weakened or unchanged compared to sea spray aerosol.

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Section: Sample Collection and Storagementioning

confidence: 99%

Role of Sea Surface Microlayer Properties in Cloud Formation

et al. 2021

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“…The samples of surface microlayer (BK1, G1), water column (BK2, G2), bottom water (BK4, G4), and epilithic biofilms (BK51, BK53, G51, G52) were taken in the littoral zone of the southern basin of Lake Baikal off the Bol’shiye Koty settlement (51°53′93.0″ N; 105°03′83.8″ E) (BK) and off the Bol’shoye Goloustnoye settlement (52°01′36.5″ N; 105°24′11.8″ E) (G) in August 2019 ( Figure 1 ). Surface microlayer was taken from a boat as described previously [ 38 ]. A metal mesh screen (26.5 cm in diameter) was horizontally submerged into the water and then horizontally lifted.…”

Section: Methodsmentioning

confidence: 99%

Diversity of Aerobic Anoxygenic Phototrophs and Rhodopsin-Containing Bacteria in the Surface Microlayer, Water Column and Epilithic Biofilms of Lake Baikal

et al. 2021

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The diversity of aerobic anoxygenic phototrophs (AAPs) and rhodopsin-containing bacteria in the surface microlayer, water column, and epilithic biofilms of Lake Baikal was studied for the first time, employing pufM and rhodopsin genes, and compared to 16S rRNA diversity. We detected pufM-containing Alphaproteobacteria (orders Rhodobacterales, Rhizobiales, Rhodospirillales, and Sphingomonadales), Betaproteobacteria (order Burkholderiales), Gemmatimonadetes, and Planctomycetes. Rhodobacterales dominated all the studied biotopes. The diversity of rhodopsin-containing bacteria in neuston and plankton of Lake Baikal was comparable to other studied water bodies. Bacteroidetes along with Proteobacteria were the prevailing phyla, and Verrucomicrobia and Planctomycetes were also detected. The number of rhodopsin sequences unclassified to the phylum level was rather high: 29% in the water microbiomes and 22% in the epilithon. Diversity of rhodopsin-containing bacteria in epilithic biofilms was comparable with that in neuston and plankton at the phyla level. Unweighted pair group method with arithmetic mean (UPGMA) and non-metric multidimensional scaling (NMDS) analysis indicated a distinct discrepancy between epilithon and microbial communities of water (including neuston and plankton) in the 16S rRNA, pufM and rhodopsin genes.

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