Different characteristics of microbial diversity and special functional microbes in rainwater and topsoil before and after 2019 new coronavirus epidemic in Inner Mongolia Grassland

Harnessing the Ecological and Genomic Adaptability of the Bacterial Genus Massilia for Environmental and Industrial Applications

The bacterial genus Massilia was first described in 1998, and since then has attracted growing interest due to its ecological plasticity and biotechnological promise. Certain species of the genus Massilia inhabit a variety of ecosystems, from arid deserts to polar glaciers, and exhibit unique adaptations such as resistance to cold and heat. In contaminated environments, some members of Massilia contribute significantly to the detoxification of heavy metals and the degradation of organic pollutants, presenting them as promising agents for bioremediation. In addition, Massilia species improve plant resistance and facilitate pollutant absorption in phytoremediation strategies. New research also highlights their potential as bioindicators of environmental health, given their abundance in anthropogenically influenced ecosystems and airborne microbial communities. In addition to their ecological roles, some Massilia species have potential in biotechnological applications by producing biopolymers and secondary metabolites. Here, we integrate findings across various habitats to present a comprehensive overview of the ecological and biotechnological importance of the genus Massilia. We highlight critical knowledge gaps and propose future research directions to fully harness the potential of this not fully explored bacterial genus to address environmental challenges, including contamination.

Tracking the source of antibiotic resistome in the stormwater network drainage in the presence of sewage illicit connections

Stormwater pipes are illicitly connected with sewage in many countries, which means that sewage enters stormwater pipes and the drainage is discharged to surface water without any treatment. Sewage contains more pathogens and highly risky antibiotic resistance genes (ARGs) than surface runoff. Therefore, sewage may alter the microbial and ARG compositions in stormwater pipe drainage, which in turn leads to an increased risk of resistance in surface water. However, the effects of sewage on ARGs in the drainage of stormwater networks have not been systematically studied. This study characterized the microbial and ARG composition of several environmental compartments of a typical stormwater network and quantified their contributions to those in the drainage. This network transported ARGs and microorganisms from sewage, sediments in stormwater pipes, and surface runoff into the drainage and thus into the river. According to metagenomic analysis, multidrug resistance genes were most abundant in all samples and the numbers and relative abundance of ARGs in the drainage collected during wet weather were comparable to that of sewage. The results of SourceTracker showed that the relative contribution of sewage was double that of rainwater and surface runoff in the drainage during wet weather for both microorganisms and ARGs. Desulfovibrio, Azoarcus, and Sulfuritalea were connected with the greatest number of ARGs and were most abundant in the sediments of stormwater pipes. Furthermore, stochastic processes were found to dominate ARG and microbial assembly, as the effects of high hydrodynamic intensity outweighed the effects of environmental filtration and species interactions. The findings of this study can increase our understanding of ARGs in stormwater pipe drainage, a crucial medium linking ARGs in sewage to environmental ARGs.