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Seasonal hydrological dynamics affected the diversity and assembly process of the antibiotic resistome in a canal network.

The significant threat of antibiotic resistance genes (ARGs) to aquatic environments health has been widely acknowledged. To date, several studies have focused on the distribution and diversity of ARGs in a single river while their profiles in complex river networks are largely known. Here, the spatiotemporal dynamics of ARG profiles in a canal network were examined using high-throughput quantitative PCR, and the underlying assembly processes and its main environmental influencing factors were elucidated using multiple statistical analyses. The results demonstrated significant seasonal dynamics with greater richness and relative abundance of ARGs observed during the dry season compared to the wet season. ARG profiles exhibited a pronounced distance-decay pattern in the dry season, whereas no such pattern was evident in the wet season. Null model analysis indicated that deterministic processes, in contrast to stochastic processes, had a significant impact on shaping the ARG profiles. Furthermore, it was found that Firmicutes and pH emerged as the foremost factors influencing these profiles. This study enhanced our comprehension of the variations in ARG profiles within canal networks, which may contribute to the design of efficient management approaches aimed at restraining the propagation of ARGs.

Seasons

Ecological studies in Madagascar of Biomphalaria pfeifferi, intermediate host of Schistosoma mansoni. 2. Biology and dynamics in the non-endemic area of Antananarivo.

The region of Antananarivo, where Schistosomiasis is not yet endemic, is compared to Ambositra, a well established focus of S. mansoni, with regard to climate, hydrology and snail habitats. Higher mean temperatures and a more pronounced dry season in Antananarivo contribute to sometimes less favourable hydrological conditions. Biomphalaria is found in very few and limited habitats. Population dynamics were followed up in selected habitats and showed ecological parameters comparable to those of the Ambositra-strain. Trematode infections were very scarce. Both strains of Biomphalaria are equally susceptible to infections with the malagasy strain of S. mansoni (up to 100 p. 100). Mortality rates, prepatency periods and the electrophoretic pattern of egg proteins are very similar. Foreign snail species like B. glabrata (albino strain) and B. pfeifferi (South African strain) are hardly susceptible to malagasy S. mansoni. Some cases of S. mansoni-infections are mentioned, which presumably had been contracted in non-endemic areas of the province of Antananarivo. The possibility and risk of implantation of schistosomiasis in this region and in the town is evaluated following the discussion of epidemiological details. The author concludes that in spite of some unfavourable conditions for S. mansoni the establishment of the cycle can locally not be excluded. Attention is all the more important, as control of endemic schistosomiasis would be particularly difficult under malagasy conditions of geography, climate, snail dynamics and human behaviour.

Adult

Elevated water levels drive greenhouse gas mitigation in the riparian zone profile.

Wetlands are critical for climate regulation, with their hyporheic zone serving as sensitive interfaces for groundwater-soil-atmosphere exchange. These zones are active hotspots for carbon-nitrogen cycling and greenhouse gas (GHG) emissions (CO2, CH4, N2O), yet the impact of water level fluctuations on these emissions and their microbial drivers in freshwater wetlands remains poorly understood. This study investigated the spatiotemporal dynamics of GHG emissions and carbon-nitrogen coupling processes along riparian soil profiles of Baiyangdian Lake during water level fluctuations. Employing static chamber measurements, microcosms, quantitative PCR, Metagenome-Assembled genome (MAG) analyses, and Structural Equation Modeling (SEM), we observed that GHG emissions were significantly affected by water level fluctuations. Specifically, CO2 and N2O fluxes, as well as CO2 production potential were significantly lower at high-water-level conditions. Water level also emerged as a key driver of microbial community structure, with Methylococcaceae and Methanosarcinaceae as key regulators of CH4 emission, and Anaeromyxobacteraceae as central to N2O dynamics. A high-quality Methylomirabilales-like MAG, possessing the complete pathway for coupled nitrate reduction and methane oxidation, was identified. Its abundance negatively correlated with water level, suggesting that these C-N coupling bacteria contribute to reducing GHG emissions. This study provides crucial theoretical insights and identifies microbial targets for mitigating wetland GHG emission through hydrological management.

Greenhouse Gases