Community structure and spatial-temporal variation of netz-phytoplankton in the Bering Sea in summer

Wang, Yu; Xiang, Peng; Ye, Youyin; Lin, Guanghui; Yang, Qingliang; Lin, Heshan; Lin, Mao

doi:10.1007/s13131-016-0833-x

Cited by 6 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concentrations above 50 g/mL produced the same levels of growth inhibition as 1 mg/mL. Similar results were previously reported on the effect of chitosan on U. maydis [16]. To express the strength of the antifungal effect of each compound on the growth, the MIC was determined; the results are shown in Table 1.…”

Section: Antifungal Effects On the Growth Of U Maydissupporting

confidence: 77%

“…In recent years, U. maydis has become an excellent model to study different aspects of cell development, and nowadays it is one of the best-characterized phytopathogenic fungi [15]. However, there is only one report on the effect of chitosan on U. maydis growth [16]. Therefore, there is little information on the biological activities of polycationic macromolecules against this fungal species.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of chitosan and its derivatives on cell development and physiology of Ustilago maydis

Olicón-Hernández

Hernández-Lauzardo

Pardo

et al. 2015

International Journal of Biological Macromolecules

View full text Add to dashboard Cite

Section: Antifungal Effects On the Growth Of U Maydissupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Influence of chitosan and its derivatives on cell development and physiology of Ustilago maydis

Olicón-Hernández

Hernández-Lauzardo

Pardo

et al. 2015

International Journal of Biological Macromolecules

View full text Add to dashboard Cite

“…Neritic assemblage was located in the Bering Sea continental slope and was mainly composed of frigid‐water species ( Thalassiosira nordenskiöldii , Chaetoceros furcellatus , and Chaetoceros socialis ) and the eurythermal and euryhaline species ( Leptocylindrus danicus , Chaetoceros curvisetus , etc.). The phytoplankton abundance of this assemblage was mostly greater than 5.00 × 10 4 cells/L (Wang et al, ). A large amount (5.93 × 10 4 cells/L) of Arctic frigid‐water species T. nordenskiöldii (Hasle & Syvertsen, ), which accounted for 71.65% of the total abundance in the Bering Sea (Sukhanova et al, ), was concentrated in the continental slope (Wang et al, ).…”

Section: Resultsmentioning

confidence: 93%

“…The phytoplankton abundance of this assemblage was mostly greater than 5.00 × 10 4 cells/L (Wang et al, ). A large amount (5.93 × 10 4 cells/L) of Arctic frigid‐water species T. nordenskiöldii (Hasle & Syvertsen, ), which accounted for 71.65% of the total abundance in the Bering Sea (Sukhanova et al, ), was concentrated in the continental slope (Wang et al, ). Diatoms may make a significant contribution to DMSP production due to their numerical abundance and composition in some diatom‐dominated waters (Matrai & Vernet, ).…”

Section: Resultsmentioning

confidence: 93%

“…The different basin and continental shelf ratios indicated a huge spatial disparity in phytoplankton species composition. Based on studies of community structure and spatial variation of phytoplankton in the Bering Sea during summer by Wang et al (), phytoplankton community in the Bering Sea Basin was dominated by diatom (95.2% of the total Chl a , N. seminae , T. longissima , A. hyperborean , C. atlanticus , Thalassiosira trifulta , etc. ), whereas the phytoplankton assemblage on the continental shelf was mainly composed of diatom species (80% of the total Chl a , including T. nordenskiöldii , C. furcellatus , C. socialis , Bacteriosira fragilis , etc.).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Occurrence and Turnover of Biogenic Sulfur in the Bering Sea During Summer

Wang

Yang

et al. 2017

JGR Oceans

View full text Add to dashboard Cite

The horizontal/geographical variations in dissolved dimethylsulfide (DMS), its precursor dimethylsulfoniopropionate (DMSPd and DMSPp), and chlorophyll a (Chl a), as well as the oceanographic parameters influencing the concentrations of dimethylated sulfur compounds, were investigated in the Bering Sea from July to August 2012. Similar to Chl a, the surface DMS and DMSPp levels, as well as DMS(P) production and consumption rates, exhibited a declining gradient from the central basin to the continental shelf, with high‐value areas appearing in the central basin, the slope regions, and Anadyr Strait but a low‐value area occurring on the outer‐middle continental shelf. Considerably high values of DMS and DMSP were measured in the saline Bering Sea Basin Deep Water (>2,000 m) located at the southwest of the Bering Basin because of the release of resuspension in 2,000 m depth and the DMSP production from endogenous benthic bacteria and cyanobacteria population. Chl a was positively correlated with DMSPp and DMS in the surface waters and the upper water of the basin, whereas significant negative correlations were found between DMS and nutrients (dissolved inorganic nitrogen [DIN], phosphorus, and silicate) in the inner shelf of the Bering Sea. DMS microbial consumption was approximately 6.26 times faster than the DMS sea‐air exchange, demonstrating that the major loss of DMS in the surface water occurred through biological consumption relative to evasion into the atmosphere. Average sea‐to‐air DMS fluxes were estimated to be 4.66 μmol/(m2·d), and consequently oceanic biogenic DMS emission had a dominant contribution to the sulfur budget over the observational area.

show abstract

Phytoplankton distribution characteristics and its relationship with bacterioplankton in Dianchi Lake

Zhang

Zuo

Salimova

et al. 2020

Environ Sci Pollut Res

View full text Add to dashboard Cite

Phytoplankton and bacterioplankton perform important ecological functions in lake ecosystem. In this paper, the abundance and composition of phytoplankton and bacterioplankton at 13 sites of Dianchi lake during the wet and dry seasons were monitored, and the relationship between phytoplankton and bacterioplankton in this plateau lake was studied. Phytoplankton community structure analysis was carried out by ocular method, and bacterioplankton was investigated by high-throughput 16S rRNA gene Illumina sequencing. The relationship between phytoplankton and bacterioplankton was observed using redundancy analysis. The results showed that 87 species of phytoplankton belonging to 5 phyla and 29 genera were identified in Dianchi lake. Phytoplankton diversity and richness were higher in the wet season than those in the dry season. In the wet season, Cyanophyta was the dominant phylum whose density was 2.01 × 10 8 cells/L, accounting for more than 90% of the total algae, then followed by Chlorophyta, Bacillariophyta, Chrysophyta, and Cryptophyta. The spatial distribution of phytoplankton in the wet season and dry seasons showed significant differences. In the dry season, the north-central part of Dianchi lake was dominated by Limnothrix redekei and Microcystis minutissima of Cyanophyta, while Pseudanabaena moniliformis and Coelosphaerium nagelianum of Cyanophyta mainly was dominated in the south of Dianchi lake. In the wet season, Microcystis minutissima of Cyanophyta was the dominant species all the area, while Limnothrix redekei of Cyanophyta was second dominant. Proteobacteria and Bacteroidetes were the dominant phyla among bacterioplankton. The community structure of bacterioplankton was influenced by Cyanophyta and Bacillariophyta. Cyanophyta had a major influence on Pseudomonas, Acinetobacter of Proteobacteria, and Flavobacterium of Bacteroidetes. Bacillariophyta showed a strong correlation with Gemmobacter, Stenotrophomonas, and Aeromonas of Proteobacteria. Cyanophyta and Bacillariophyta produced the most significant impact on predicted functional genes of bacterioplankton, and the predicted functional genes of the samples were different in different seasons. Cell densities of Cyanophyta were positively related to metabolism-predicted functional genes of bacterioplankton. Bacillariophyta and Cryptophyta had an impact on most of the cellular processes and signaling predicted functional genes. Bacterioplankton-predicted functional gene information storage and processing were significantly affected by cell densities of Chlorophyta. Therefore, the analysis of the phytoplankton community and the bacterioplankton-predicted functional gene in Dianchi lake exerts a great significance in revealing the ecosystem function of plateau lakes and harmful algal bloom control.

show abstract

Community structure and spatial-temporal variation of netz-phytoplankton in the Bering Sea in summer

Cited by 6 publications

References 28 publications

Influence of chitosan and its derivatives on cell development and physiology of Ustilago maydis

Influence of chitosan and its derivatives on cell development and physiology of Ustilago maydis

Occurrence and Turnover of Biogenic Sulfur in the Bering Sea During Summer

Phytoplankton distribution characteristics and its relationship with bacterioplankton in Dianchi Lake

Contact Info

Product

Resources

About