Seasonal dynamics of the coastal bacterioplankton at intensive fish-farming areas of the Yellow Sea, China revealed by high-throughput sequencing

Deciphering variations in the surficial bacterial compositions and functional profiles in the intersection between North and South Yellow Sea

The coastal ocean systems play paramount role in the nutrient biogeochemistry because of its interconnected environment. To gain a novel insight into coupling relationships between bacterial community, functioning properties and nutrient metabolism, we conducted analysis on the patterns and driving factors of planktonic bacterial functional community across subsurface water of marine ranching near the Yellow Sea in both summer and winter. Illumina HiSeq Sequencing and a corresponding set of biogeochemical data were used to assess distribution patterns of taxa, adaptive mechanism and metabolic function. Results demonstrated that Proteobacteria, Cyanobacteria, Actinobacteriota and Bacteroidota were dominant phyla both in summer and winter. Taxonomic profiles related to nutrient variation were found to be highly correlated with Dissolved Oxygen (DO) and Chlorophyll fluorescence (FLUO), and distinct diversity differences were also found between summer and winter samples. Functional activity in summer associated with the relative abundance of phototrophy and photoautotrophy were the highest in the subsurface water, while in winter the dominant functional properties were mainly include chemoheterotrophy and aerobic_ chemoheterotrophy. A significant difference related to functional activity between summer and winter, mainly representing ligninolysis and iron_respiration. In general, our study provides a framework for understanding the relative importance of environmental factors, temperature variation and nutrient availability in shaping the metabolic processes of aquatic microorganisms, particularly in ocean mariculture systems.

Antibiotic resistome in a large urban-lake drinking water source in middle China: Dissemination mechanisms and risk assessment

The increasing pollution of urban drinking water sources by antibiotic resistance genes (ARGs) threatens human health worldwide. However, the distribution and influencing factors of ARGs, especially how to reveal the risks of ARGs in this environment remains unclear. Hence, Chaohu Lake was selected as an example to investigate the characteristics of ARGs and explore the interactions among physicochemical factors, microorganisms, and ARGs by metagenomic approach. In this work, 75 ARG subtypes with an average of 30.4 × /Gb (ranging from 15.2 ×/Gb to 57.9 ×/Gb) were identified, and multidrug and bacA were most frequent in Chaohu Lake. Non-random co-occurrence patterns and potential host bacteria of ARGs were revealed through co-occurrence networks. Microbial community and mobile genetic elements (MGEs) were the major direct factors in ARG profiles. The dissemination of ARGs was mainly driven by plasmids. Considering the interactions among MGEs, human bacterial pathogens, and ARGs, antibiotic resistome risk index (ARRI) was proposed to manifest the risks of ARGs. Overall, our work systemically investigated the composition and associated factors of ARGs and built ARRI to estimate the potential risks of ARGs in a typical urban drinking water source, providing an intuitive indicator for managing similar lakes.

Influence of the cold bottom water on taxonomic and functional composition and complexity of microbial communities in the southern Yellow Sea during the summer

The formation and presence of the cold bottom water (Yellow Sea Cold Water Mass, YSCWM) is a striking hydrological phenomenon in the southern Yellow Sea during the summer and has important effects on the marine ecosystem. To better understand its influence on microbial community structure and function, we compared the bacterial, archaeal and microeukaryotic communities in the cold water mass area (CWMA) and the southern area (SA) during the summer using amplicon and metagenomic sequencings. The habitat environment in the deep waters of the CWMA was characterized by higher salinity/DO/PO₄-P, greater depth/distance to the coast, and lower levels of temperature/chlorophyll a/DIN/SiO₃-Si/N:P ratio compared to that of the SA. Pure depth or distance to the coast explained a small portion of the microbial community variance, while environment explained a significant fraction of the variance when partialling the effects of depth and distance to the coast. Oligotrophic taxa (e.g. SAR11 clade Ia, Nitrosopumilus, Chloropicophyceae) dominated the deep water communities in the CWMA, while the common coastal taxa (e.g. Roseobacter strain HIMB11, Bacillariophyta, Noctilucophyceae) were more dominant in the deep waters of the SA, suggesting the great impact of the oligotrophic condition in the YSCWM on microbial communities. The microbial co-occurrence networks in the CWMA were less complex but contained a higher proportion of mutual exclusion relationship among prokaryotes; the prokaryotic α-diversity in the CWMA was significantly lower than in the SA while the microeukaryotic α-diversity was significantly higher in the CWMA, implying that prokaryotes and microeukaryotes respond to the cold water mass differently and the competition among prokaryotes was intensified under the impact of the YSCWM. Genes that relate to replication and repair accounted for a significantly lower proportion in the CWMA, which was likely an adaptation to the low carbon environment.