The dynamics of aquatic microbes is of great importance for comprehending the acclimatisation and evolution of microorganisms in lake ecology. However, little is known about the adaption strategies of microbial communities in East Dongting Lake, which had special and complexity geographical characteristics. A semi-enclosed lake area (A) and a waterway connected to Yangtze River (B) both existed in the lake zone. Here, we investigated bacterial and fungal community diversity, community network and community assembly processes in sediment and water. The results indicated that the proportion of OTU numbers and their relative abundance for rare and abundant taxa were different obviously between sediment and water, but not between bacteria and fungi. However, abundant subcommunities dominated the shifts of bacterial community diversity and structure in A region, while rare subcommunities for fungal community diversity.
Compared to fungal community, bacterial network was more compact and more key stones were identified as rare taxa. In addition, stochastic processes (dispersal limitation) drove the community assembly of abundant and rare subcommunities, but the effects of deterministic processes (including variable and heterogeneous selections) affected more on rare rather than abundant taxa. Partial Mantel test further indicated that the effect of environmental factors was a stronger force in shaping abundant bacterial subcommunities (TOC, NH4+-N, TN, and ORP) and rare fungal subcommunities (ORP). Environmental factors explained more of the variation in bacterial community structure than that in fungal community structure, although they had additional effects on fungal community diversity and community assembly. Moreover, bacterial community affected the fungal community as a biotic factor in water. This research provided new insights into better understanding of microbial communities in the complex environment of the East Dongting Lake.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence in 2019 led to global health crises and the persistent
risk of viral mutations. To combat SARS-CoV-2 variants, researchers have explored new approaches to identifying
potential targets for coronaviruses. This study aimed to identify SARS-CoV-2 inhibitors using drug repurposing. In silico
studies and network pharmacology were conducted to validate targets and coronavirus-associated diseases to select potential
candidates, and in vitro assays were performed to evaluate the antiviral effects of the candidate drugs to elucidate the
mechanisms of the viruses at the molecular level and determine the effective antiviral drugs for them. Plaque and cytopathic
effect reduction were evaluated, and real-time quantitative reverse transcription was used to evaluate the antiviral activity
of the candidate drugs against SARS-CoV-2 variants in vitro. Finally, a comparison was made between the molecular docking
binding affinities of fenofibrate and remdesivir (positive control) to conventional and identified targets validated from
protein–protein interaction (PPI). Seven candidate drugs were obtained based on the biological targets of the coronavirus,
and potential targets were identified by constructing complex disease targets and PPI networks. Among the candidates,
fenofibrate exhibited the strongest inhibition effect 1 h after Vero E6 cell infection with SARS-CoV-2 variants. This study
identified potential targets for coronavirus disease (COVID-19) and SARS-CoV-2 and suggested fenofibrate as a potential
therapy for COVID-19.
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Distinctive Combinations of RBD Mutations Contribute to Antibody Evasion in the Case of the SARS-CoV-2 Beta Variant Tae-Hun Kim, Sojung Bae, Sunggeun Goo, Jinjong Myoung Journal of Microbiology and Biotechnology.2023; 33(12): 1587. CrossRef
Recent work suggests that microbial community composition
in high-elevation lakes is significantly influenced by microbes
entering from upstream terrestrial and aquatic habitats.
To test this idea, we conducted 18S and 16S rDNA surveys of
microbial communities in a high-alpine lake in the Colorado
Rocky Mountains. We compared the microbial community
of the lake to water entering the lake and to uphill soils that
drain into the lake. Utilizing hydrological and abiotic data,
we identified potential factors controlling microbial diversity
and community composition. Results show a diverse community
entering the lake at the inlet with a strong resemblance
to uphill terrestrial and aquatic communities. In contrast, the
lake communities (water column and outlet) showed significantly
lower diversity and were significantly different from
the inlet communities. Assumptions of neutral community
assembly poorly predicted community differences between
the inlet and lake, whereas “variable selection” and “dispersal
limitation” were predicted to dominate. Similarly, the lake
communities were correlated with discharge rate, indicating
that longer hydraulic residence times limit dispersal, allowing
selective pressures within the lake to structure communities.
Sulfate and inorganic nitrogen and phosphorus concentrations
correlated with community composition, indicating
“bottom up” controls on lake community assembly. Furthermore,
bacterial community composition was correlated
with both zooplankton density and eukaryotic community
composition, indicating biotic controls such as “top-down”
interactions also contribute to community assembly in the
lake. Taken together, these community analyses suggest that
deterministic biotic and abiotic selection within the lake coupled
with dispersal limitation structures the microbial communities
in Green Lake 4.
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