Mutualism is commonly observed in nature but not often reported for bacterial communities. Although abiotic stress is thought to promote microbial mutualism, there is a paucity of research in this area. Here, we monitor microbial communities in a quasi-natural composting system, where temperature variation (20 °C–70 °C) is the main abiotic stress. Genomic analyses and culturing experiments provide evidence that temperature selects for slow-growing and stress-tolerant strains (i.e., Thermobifida fusca and Saccharomonospora viridis), and mutualistic interactions emerge between them and the remaining strains through the sharing of cobalamin. Comparison of 3000 bacterial pairings reveals that mutualism is common (~39.1%) and competition is rare (~13.9%) in pairs involving T. fusca and S. viridis. Overall, our work provides insights into how high temperature can favour mutualism and reduce competition at both the community and species levels.

Soil is a reservoir of antibiotic resistance genes (ARGs), and understanding its connection to human antibiotic resistome is crucial for the One Health framework. Rank I ARGs appear key to deciphering this relationship, but their global distribution and attribution in soil remain unclear. To fill this gap, we analyze 3965 metagenomic data (12 habitats, including soil, feces, sewage) and 8388 genomes of Escherichia coli isolates. Results show that soil ARG risk has increased over time (from 2008 to 2021). We introduce a “connectivity” metric that evaluates cross-habitat ARGs connectivity through sequence similarity and phylogenetic analysis, and reveal higher genetic overlap with clinical E. coli genomes (1985–2023) over time suggesting an increasing link between soil and human resistome. A comparison of 45 million genome pairs suggests that cross-habitat horizontal gene transfer (HGT) is crucial for the connectivity of ARGs between humans and soil. Finally, we compile clinical antibiotic resistance datasets (covering 126 countries from 1998 to 2022) and find significant correlations between soil ARG risk, potential HGT events and clinical antibiotic resistance (R ² = 0.40–0.89, p < 0.001). Overall, our work provides insights into the ARGs connectivity between soil and humans, and could help identify strategies to prevent dissemination of antibiotic resistance.

Polycyclic aromatic hydrocarbons (PAHs) are organic pollutants widely present in industrial sites. Microbial degradation is an effective method of removing PAHs. The identification of microorganisms that have important ecological functions at the site is of great significance for PAH removal. We collected soil samples at three depths in the range of 0–100 cm at 70-day intervals at the coking site and explored the degradation of PAHs. We combined molecular ecology networking, metagenomics, and genome assembly to search for microorganisms that persist, dominate, and affect the microbial community construction in the degradation process and analyzed their adaptation strategies. The results showed that 15.78 mg/kg of PAHs naturally decayed, and 13.33 mg/kg of PAHs migrated from 30–100 cm to 0–30 cm in the soil. Sphingomonas, which occupied a niche advantage, was both the core and keystone microorganism, and its spatial distribution pattern and temporal change dynamics were consistent with those of PAHs. We assembled the genome of Sphingomonas sp., revealing its multiple potential for degrading PAHs and other pollutants. Additionally, flagellar assembly and bacterial chemotaxis genes ranked high in the assembled genome of Sphingomonas sp., which might help it obtain a competitive advantage in the soil. The findings underscored the strategy of Sphingomonas to maintain dominance, enriched the understanding of PAH-degrading microorganisms in site soil, and provided references for the remediation of PAHs.

Many functions in host–microbiota interactions are potentially influenced by intestinal transit times, but little is known about the effects of altered transition times on the composition and functionality of gut microbiota. To analyze these effects, we cultivated the model community SIHUMIx in bioreactors in order to determine the effects of varying transit times (TT) on the community structure and function. After five days of continuous cultivation, we investigated the influence of different medium TT of 12 h, 24 h, and 48 h. For profiling the microbial community, we applied flow cytometric fingerprinting and revealed changes in the community structure of SIHUMIx during the change of TT, which were not associated with changes in species abundances. For pinpointing metabolic alterations, we applied metaproteomics and metabolomics and found, along with shortening the TT, a slight decrease in glycan biosynthesis, carbohydrate, and amino acid metabolism and, furthermore, a reduction in butyrate, methyl butyrate, isobutyrate, valerate, and isovalerate concentrations. Specifically, B. thetaiotaomicron was identified to be affected in terms of butyrate metabolism. However, communities could recover to the original state afterward. This study shows that SIHUMIx showed high structural stability when TT changed—even four-fold. Resistance values remained high, which suggests that TTs did not interfere with the structure of the community to a certain degree.