Organic micropollutants (OMPs) in wastewater present significant environmental challenges, but effective removal strategies are hindered by our limited understanding of their co-metabolic biodegradation. We aim to elucidate the microbial enzymes, metabolic pathways, and community members involved in OMP co-metabolic degradation, thereby paving the way for more effective wastewater treatment strategies. We integrated multi-omics (metagenomics, metaproteomics, and metabolomics) and functional group analysis to investigate 24 OMPs under three aeration conditions. Our findings reveal that oxidoreductases, particularly cytochrome P450s and peroxidases, are crucial for recalcitrant OMPs containing halogen groups (-Cl, -F) like fluoxetine and diuron. Hydrolases, including amidases, are instrumental in targeting amide-containing (-CONH₂) OMPs such as bezafibrate and carbamazepine. Regarding microbial metabolism involved in OMP co-metabolic degradation, we found that amino acid metabolism is crucial for degrading amine-containing (-NH₂) OMPs like metoprolol and citalopram. Lipid metabolism, particularly for fatty acids, contributes to the degradation of carboxylic acid (-COOH) containing OMPs such as bezafibrate and naproxen. Finally, with Actinobacteria, Bacteroidetes, and Proteobacteria emerging as primary contributors to these functionalities, we established connections between OMP functional groups, degradation enzymes, metabolic pathways, and microbial phyla. Our findings provide generalized insights into structure-function relationships in OMP co-metabolic degradation, offering the potential for improved wastewater treatment strategies.

The structural complexity of lignocellulosic biomass hinders the extraction of cellulose, and it has remained a challenge for decades in the biofuel production process. However, wood-feeding organisms like termite have developed an efficient natural lignocellulolytic system with the help of specialized gut microbial symbionts. Despite having an enormous amount of high-throughput metagenomic data, specific contributions of each individual microbe to achieve this lignocellulolytic functionality remains unclear. The metabolic cross-communication and interdependence that drives the community structure inside the gut microbiota are yet to be explored. We have contrived a species-wide metabolic interaction network of the termite gut-microbiome to have a system-level understanding of metabolic communication. Metagenomic data of Nasutitermes corniger have been analyzed to identify microbial communities in different gut segments. A comprehensive metabolic cross-feeding network of 205 microbes and 265 metabolites was developed using published experimental data. Reconstruction of inter-species influence network elucidated the role of 37 influential microbes to maintain a stable and functional microbiota. Furthermore, in order to understand the natural lignocellulose digestion inside N. corniger gut, the metabolic functionality of each influencer was assessed, which further elucidated 15 crucial hemicellulolytic microbes and their corresponding enzyme machinery.

Increasing population growth and industrialization are continuously oppressing the existing energy resources, elevating the pollution and global fuel demand. Various alternate energy resources can be utilized to cope with these problems in an environment-friendly fashion. Currently, bioethanol (sugarcane, corn-derived) is one of the most widely consumed biofuels in the world. Lignocellulosic biomass is yet another attractive resource for sustainable bioethanol production. Pretreatment step plays a crucial role in the lignocellulose to bioethanol conversion by enhancing cellulose susceptibility to enzymatic hydrolysis. However, economical lignocellulose pretreatment still remains a challenging job. Ionic liquids (ILs), especially 1-ethyl-3-methylimidazolium acetate (EmimAc), is an efficient solvent for cellulose dissolution with improved enzymatic saccharification kinetics. To increase the process efficiency as well as recyclability of IL, water is shown as a compatible cosolvent for lignocellulosic pretreatment. The performance analysis of IL–water mixture based on the molecular level understanding may help to design effective pretreatment solvents. In this study, all-atom molecular dynamics simulation has been performed using EmimAc–water mixtures to understand the behavior of cellulose microcrystal containing eight glucose octamers at room and pretreatment temperatures. High-temperature simulation results show effective cellulose chain separation where cellulose–acetate interaction is found to be the driving force behind dissolution. It is also observed that pretreatment with 50 and 80% IL mixture is efficient in decreasing cellulose crystallinity. At a high IL concentration, water exists in a clustered network which gradually spans into the medium with increasing water fraction leading to loss of its cosolvation activity. Communicated by Ramaswamy H. Sarma

Since the Great Oxidation Event 2.4 billion years ago, microorganisms have evolved sophisticated responses to oxidative stress. These ancient adaptations remain relevant in modern engineered systems, particularly in conventional activated sludge (CAS) processes, which serve as significant reservoirs of antibiotic resistance genes (ARGs). While ROS-induced stress responses are known to promote ARG enrichment/emergence in pure cultures, their impact on ARG dynamics in wastewater treatment processes remains unexplored. Shotgun-metagenomics analysis of two hospital wastewater treatment plants showed that only 35-53 % of hospital effluent resistome was retained in final effluent. Despite this reduction, approximately 29-36 % of ARGs in CAS showed higher abundance than upstream stages, of which 20-22 % emerged de novo. Beta-lactamases and efflux pumps constituted nearly 47-53 % of these enriched ARGs. These ARGs exhibited significant correlations (p < 0.05) with ROS stress response genes (oxyR, soxR, sodAB, katG and ahpCF). The CAS resistome determined 58-75 % of the effluent ARG profiles, indicating treatment processes outweigh influent composition in shaping final resistome. Proof-of-concept batch reactor experiments confirmed increased ROS and ARG levels under high dissolved oxygen (8 mg/L) compared to low oxygen (2 mg/L) concentrations. Untargeted metaproteomics revealed higher expression of resistant proteins (e.g., OXA-184, OXA-576, PME-1, RpoB2, Tet(W/32/O)) under elevated ROS levels. Our findings demonstrate that CAS processes actively shape effluent resistome through ROS-mediated selection, indicating that treatment processes, rather than initial wastewater composition, determine final ARG profiles. This study indicates that the emergence of ARGs needs to be considered as an integral aspect of wastewater treatment design and operation to prevent antibiotic resistance dissemination.