Lead pollution of the environment poses a major global threat to the ecosystem. Bacterial bioremediation offers a promising alternative to traditional methods for removing these pollutants, that are often hindered by various limitations. Our research focused on isolating lead-resistant bacteria from industrial wastewater generated by heavily lead-containing industries. Eight lead-resistant strains were successfully isolated, and subsequently identified through molecular analysis. Among these, Enterobacter kobei FACU6 emerged as a particularly promising candidate, demonstrating an efficient lead removal rate of 83.4% and a remarkable lead absorption capacity of 571.9 mg/g dry weight. Furthermore, E. kobei FACU6 displayed a remarkable a maximum tolerance concentration (MTC) for lead reaching 3,000 mg/L. To further investigate the morphological changes in E. kobei FACU6 in response to lead exposure, scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were employed. These analyses revealed significant lead adsorption and intracellular accumulation in treated bacteria in contrast to the control bacterium. Whole-genome sequencing was performed to gain deeper insights into E. kobei’s lead resistance mechanisms. Structural annotation revealed a genome size of 4,856,454 bp, with a G + C content of 55.06%. The genome encodes 4,655 coding sequences (CDS), 75 tRNA genes, and 4 rRNA genes. Notably, genes associated with heavy metal resistance and their corresponding regulatory elements were identified within the genome. Furthermore, the expression levels of four specific heavy metal resistance genes were evaluated. Our findings revealed a statistically significant upregulation in gene expression under specific environmental conditions, including pH 7, temperature of 30°C, and high concentrations of heavy metals. The outstanding potential of E. kobei FACU6 as a source of diverse genes related to heavy metal resistance and plant growth promotion makes it a valuable candidate for developing safe and effective strategies for heavy metal disposal.

Rice domestication has dramatically improved its agronomic traits, albeit with unavoidable significantly reduced genetic diversity. Dongxiang common wild rice, the wild rice species distributed in northernmost China, exhibits excellent resistance against stress and diseases and provides a rich genetic resource for rice breeding. Most of the studies focus on the function of the plant genes, often disregarding the role of the root microbes associated with the plants. In this work, we isolated a Burkholderia strain from the root of Dongxiang wild rice, which we identified as Burkholderia cepacia BRDJ, based on a phylogenetic analysis. This strain promoted the rice growth under greenhouse conditions. The grain yield was higher in a rice line containing a small genomic fragment derived from the Dongxiang wild rice, compared to the indica rice cultivar Zhongzao 35. This new strain also increased the plant biomass under limiting nitrogen conditions. Interestingly, this strain had a differential effect on indica and japonica rice varieties under full nitrogen supply conditions. By genome sequencing and comparison with another two B. cepacia strains, we observed enriched genes related with nitrogen fixation and phytohormone and volatiles biosynthesis that may account for the growth-promoting effects of the BRDJ. BRDJ has the potential to be used as a biofertilizer in promoting nitrogen use efficiency and overall growth in rice.

Improper usage of antibiotics in poultry production is a great threat to the ecosystem because their residues can enter into the food chain or leach into soil or water systems and increase antibiotic resistance risks. Hence, direct-fed microbials (DFMs) have gained recognition as a sustainable and viable alternative to antibiotics in poultry production, capitalizing on the relationship between microbial genetics, host genomics, and gut microbiota. This review delves into the genetic and host genomic mechanisms through DFMs effects including the enhancement of nutrient metabolism, modulation of gut microbiota and strengthening of the host immunity. The revolution of multi-omics has participated in the identification of probiotic strains with desirable traits and revealed their impact on host gene expression, particularly in genes related to intestinal health, such as tight junction proteins and mucins. Furthermore, the review summarizes the benefits of using DFMs in poultry production, the factors affecting their efficacy and their challenges and limitations. Future research integrating host and microbial genomics, along with precision microbiome engineering, holds promise for maximizing the potential of DFMs in advancing sustainable poultry farming practices.

Plastic pollution constitutes a critical environmental concern of this era, with synthetic polymers, i.e., polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), and polyurethane (PU), accumulating in terrestrial and aquatic ecosystems at alarming rates. One of the promising solutions to this worldwide problem is microbial plastic degradation, particularly by bacteria that can convert polymeric materials into less toxic compounds. With an emphasis on enzymatic mechanisms, critical environmental and biochemical factors influencing degradation, and the wide variety of bacteria responsible for breaking down synthetic polymers, this review focuses on the enzymatic and genetic aspects underlying bacterial plastic degradation, highlighting key enzymes such as PETase, METase, esterase, and oxidoreductase, as well as representative plastic-degrading bacteria i.e . Thermobifida, Ideonella, Bacillus, Agromyces, Pseudomonas, Schlegelella species. The significance of multi-omics tools, such as transcriptomics, proteomics, metabolomics, and genomics was demonstrated here in deepening our understanding of microbial plastic degradation without depending on pure culture. It explores the key genes and metabolic pathways that facilitate this process. Moreover, how advanced biotechnological techniques and artificial intelligence (AI) can participate in plastic biodegradation through enzyme engineering, activity-enhancing mutation design, predictive modeling, and omics data analysis was illustrated. Furthermore, this review underscores the necessity for integrative and interdisciplinary approaches to effectively harness bacterial metabolism for long-term reduction of plastic pollution. Also, it outlines future research directions and technological priorities for translating bacterial plastic degradation into practical and sustainable remediation solutions.