Roles of phytoplankton, microzooplankton, and bacteria in DMSP and DMS transformation processes in the East China Continental Sea

Ma, Qian‐Yao; Yang, Gui‐Peng

doi:10.1016/j.pocean.2023.103003

Cited by 8 publications

(7 citation statements)

References 76 publications

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“…Previous authors have extensively studied the contribution of different algal species in releasing DMSP and DMS content. Their findings suggest that dinoflagellates, golden algae, and methanogens are high producers of DMS (Ma and Yang, 2023), while diatoms and cryptophytes are low producers of DMS (Yang et al, 2012). According to the research, the highest intracellular DMSP content was found in Hirschsprungia (golden algae) at 689 ± 81 mmol L -1 , followed by Anterior Gourami (dinoflagellates) at 666 ± 0 mmol L -1 , and Streptophyta (diatoms) at only 9 ± 1 mmol L -1 (Liss et al, 1994).…”

Section: Discussionmentioning

confidence: 99%

Characterizing spatio-temporal variations of dimethyl sulfide in the Yellow and East China Sea based on BP neural network

Guo,

Sun,

Wang

et al. 2024

Front. Mar. Sci.

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Dimethyl sulfide (DMS), an organic volatile sulfide produced from Dimethylsulfoniopropionate (DMSP), exerts a significant impact on the global climate change. Utilizing published literature data spanning from 2005 to 2020, a BP neural network (BPNN) model of the surface seawater DMS in the Yellow and East China Sea (YECS) was developed to elucidate the influence of various marine factors on the DMS cycle. Results indicated that the six parameters inputted BPNN model, that include the time (month), latitude and longitude, sea-surface chlorophyll a (Chl-a), sea-surface temperature (SST), and sea-surface salinity (SSS), yielded the optimized simulation results (R2 = 0.71). The optimized estimation of surface seawater DMS in the YECS were proved to be closely aligned with the observed data across all seasons, which demonstrated the model’s robust applicability. DMS concentration in surface seawater were found to be affected by multiple factors such as Chl-a and SST. Comparative analysis of the three environmental parameters revealed that Chl-a exhibited the most significant correlation with surface seawater DMS concentration in the YECS (R2 = 0.20). This underscores the pivotal role of chlorophyll in phytoplankton photosynthesis and DMS production, emphasizing its importance as a non-negligible factor in the study of DMS and its sulfur derivatives. Furthermore, surface seawater DMS concentration in the YECS exhibited positive correlations with Chl-a and SST, while displaying a negative correlation with SSS. The DMS concentration in the YECS show substantial seasonal variations, with the maximum value (5.69 nmol/L) in summer followed in decreasing order by spring (3.96 nmol/L), autumn (3.18 nmol/L), and winter (1.60 nmol/L). In the YECS, there was a gradual decrease of DMS concentration from the nearshore to the offshore, especially with the highest DMS concentration concentrated in the Yangtze River Estuary Basin and the south-central coastal part off the Zhejiang Province. Apart from being largely composed by the release of large amounts of nutrients from anthropogenic activities and changes in ocean temperature, the spatial and temporal variability of DMS may be driven by additional physicochemical parameters.

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Section: Discussionmentioning

confidence: 99%

Characterizing spatio-temporal variations of dimethyl sulfide in the Yellow and East China Sea based on BP neural network

Guo,

Sun,

Wang

et al. 2024

Front. Mar. Sci.

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“…We compiled an observational data set of surface [DMS] in the YECS for the period of 2007–2018, and Table 2 showed the cruise information of the in situ surface [DMS] that collected from literature, and each DMS sample was analyzed by a gas chromatograph equipped with a flame photometric detector (Gao et al., 2021; Ma & Yang, 2023b; Shen et al., 2021; Xu et al., 2022; Yu et al., 2021). To construct a gridded climatology field of DMS, the sea areas (from 119°E to 128°E and from 26°N to 40°N) was divided into 126 grids.…”

Section: Methodsmentioning

confidence: 99%

“…The observational data set of nutrient concentration and phytoplankton biomass are obtained from literatures (Shen et al., 2023; Wang, Xin, et al., 2018; Wang et al., 2022; Wei et al., 2015). The DMS data set for model validation are obtained from literature (Gao et al., 2021; Ma & Yang, 2023b; Shen et al., 2021; Xu et al., 2022; Yu et al., 2021). All figures in this manuscript were made with the Matlab (R2018a), available under license at https://mathworks.cn/.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…In this manuscript, the in situ [DIN] and [Chl a] for the period of 1981-2016 in the Changjiang estuary and the [DIN] along the 36°N transect for the period of 1985-2006 were collected for decadal validation from literature (Wang, Xin, et al, 2018;Wei et al, 2015). Additionally, a mapping observations of contemporary ( 2007 We compiled an observational data set of surface [DMS] in the YECS for the period of 2007-2018, and Table 2 showed the cruise information of the in situ surface [DMS] that collected from literature, and each DMS sample was analyzed by a gas chromatograph equipped with a flame photometric detector (Gao et al, 2021;Ma & Yang, 2023b;Shen et al, 2021;Xu et al, 2022;Yu et al, 2021). To construct a gridded climatology field of DMS, the sea areas (from 119°E to 128°E and from 26°N to 40°N) was divided into 126 grids.…”

Section: In Situ Datamentioning

confidence: 99%

“…The summertime surface [DMS] (or the F DMS ) is several times the value in winter (Gao et al, 2017;Li et al, 2022;Shen et al, 2019;Yang et al, 2011), Shen et al (2019) found that the seasonal difference in [DMS] increase with latitude. Spatially, the summertime [DMS] exhibits a patchy characteristic with higher value occurring in the Changjiang estuary and its adjacent area, and Zhejiang coastal (Ma & Yang, 2023b;Yang et al, 2011;Zhu et al, 2019) and, a significant positive correlation is found between [DMS] and total chlorophyll a concentration ([Chl a]) in the YECS (Gao et al, 2017;Jian et al, 2018;Yang et al, 2011). Some studies have focused on the effect of seawater acidification and nutrient inputs on the DMS cycle (Gao et al, 2021;Jian et al, 2019;Ma & Yang, 2023a).…”

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confidence: 99%

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Marine Dimethyl Sulfide Fluxes in the Yellow and East China Seas: Scenario Variation During the 1980s–2090s and Its Drivers

2023

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Shedding light on the response of oceanic dimethyl sulfide flux (FDMS) on the sea shelf to multi‐pressures (intensified terrigenous nutrient inputs and climate change) is of great importance for regional aerosol budget. Here, we designed 4‐group experiments in scenario (the 1980s, 2010s, 2050s, and 2090s) for the Yellow and East China seas (YECS) based on climate change signals gained from CMIP6 and a 3‐dimension biophysical and geochemical model. Results show that the climatological annual mean of YECS's FDMS will rise from ∼6 μmol m−2 day−1 in the 1980s to >9 μmol m−2 day−1 in the 2090s under Shared Socioeconomic Pathway (SSP) 2−4.5/5−8.5 scenario, and with multi‐pressures, the FDMS peak in the 2050s is one season earlier when compared to that in the 1980s. The elevated terrigenous inputs affect the phytoplankton biomass and/or community on the inner shelf, leading to the rise and phenology change in the YECS's FDMS between the1980s and 2010s, while climate change has little impact. The influence of climate change on the FDMS is projected to increase in the 2050s; climate change will change seasonal pattern of the FDMS on the central part (middle and outer shelves) of East China Sea (CECS) under every SSP scenario. Thereinto, wind change exerts a crucial role, it will enhance summertime offshore transport and, accordingly, stimulate phytoplankton growth in summer changing the phenology of FDMS on the CECS.

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Microplastics stress alters microorganism community structure and reduces the production of biogenic dimethylated sulfur compounds

Liu,

Gao,

et al. 2024

Limnology & Oceanography

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Dimethylsulfoniopropionate (DMSP) is a plentiful organic sulfur metabolite and the primary precursor for dimethyl sulfide (DMS), which plays a crucial role in global sulfur cycling, the formation of clouds, and cooling the warming earth. The origin and fate of DMSP are intricately linked to marine microorganisms, making the variation of the microorganism community crucial for DMSP dynamics. Nonetheless, the impact of pervasive marine microplastics on microorganisms and processes related to DMSP synthesis and degradation remains insufficiently investigated. To bridge this gap, a 14‐d deck‐based microcosm experiment was conducted, revealing that microplastics significantly altered the composition of microorganism communities and dramatically inhibited the release of DMS and DMSP. Furthermore, multivariate analysis demonstrated that the variations both in environmental variables and microorganism communities caused by microplastics were forcing factors in reducing DMS and DMSP release. In addition, the predicted function of the bacterial community showed a significant reduction in the presence of dddP and dmdA genes when exposed to microplastics, which directly disrupted both the demethylation and cleavage pathways of DMSP. These results indicate that the release of DMS and DMSP in marine ecosystems can be significantly affected by microplastics through influencing microorganisms. Thus, it is imperative to conduct research on controlling the synthesis and degradation of DMSP in the ocean, particularly in response to these environmental pollution issues. Such research can help discern new patterns from specific phenomena and identify crucial processes.

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Roles of phytoplankton, microzooplankton, and bacteria in DMSP and DMS transformation processes in the East China Continental Sea

Cited by 8 publications

References 76 publications

Characterizing spatio-temporal variations of dimethyl sulfide in the Yellow and East China Sea based on BP neural network

Characterizing spatio-temporal variations of dimethyl sulfide in the Yellow and East China Sea based on BP neural network

Marine Dimethyl Sulfide Fluxes in the Yellow and East China Seas: Scenario Variation During the 1980s–2090s and Its Drivers

Microplastics stress alters microorganism community structure and reduces the production of biogenic dimethylated sulfur compounds

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