Antibiotics are commonly used to prevent and control diseases in aquaculture. However, long-term/overuse of antibiotics not only leaves residues but results in the development of antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs). Antibiotics, ARB, and ARGs are widespread in aquaculture ecosystems. However, their impacts and interaction mechanisms in biotic and abiotic media remain to be clarified. In this paper, we summarized the detection methods, present status, and transfer mechanisms of antibiotics, ARB, and ARGs in water, sediment, and aquaculture organisms. Currently, the dominant methods of detecting antibiotics, ARB, and ARGs are UPLC−MS/MS, 16S rRNA sequencing, and metagenomics, respectively. Tetracyclines, macrolides, fluoroquinolones, and sulfonamides are most frequently detected in aquaculture. Generally, antibiotic concentrations and ARG abundance in sediment are much higher than those in water. Yet, no obvious patterns in the category of antibiotics or ARB are present in organisms or the environment. The key mechanisms of resistance to antibiotics in bacteria include reducing the cell membrane permeability, enhancing antibiotic efflux, and structural changes in antibiotic target proteins. Moreover, horizontal transfer is a major pathway for ARGs transfer, including conjugation, transformation, transduction, and vesiculation. Identifying, quantifying, and summarizing the interactions and transmission mechanisms of antibiotics, ARGs, and ARB would provide useful information for future disease diagnosis and scientific management in aquaculture.

Although covering only 5–8% of Earth's land surface, wetlands store 20–30% of terrestrial organic carbon, making them indispensable for achieving global carbon neutrality and sustainable development. As natural climate solutions, wetlands provide important ecological services, including carbon sequestration, water purification and biodiversity conservation. However, climate warming is altering wetlands structure and functions, particularly carbon cycling processes. These changes have profound consequences for plant growth, litter decomposition and overall carbon pools. Crucially, microbial communities, their functional traits, and carbon composition are key regulators of carbon dynamics, and the underlying mechanisms remain incompletely understood. In this review, we synthesize the effects of climate warming on carbon storage and cycling in wetland ecosystems, focusing on carbon input pathways, transformation processes, and shifts in carbon pool composition. We further explore the complex interactions between rising temperatures and wetland biogeochemical processes, discussing their implications for global carbon budgets and sustainable land management. A deeper understanding of these dynamics and mechanisms is crucial for preserving wetland carbon sequestration capacity and ensuring ecological resilience in a warming climate.

Morel mushrooms (Morchella spp.) are prized for their nutritional and medicinal value. Despite extensive research on their cultivation, the species’ impacts on the soil microbiota and minerals remain unclear. This study systematically evaluated six Morchella species, analyzing their effects on soil physicochemical properties, microbial communities, and mineral nutrients levels. The results showed that yield varied significantly among the species, with an order of M. sextelata > M. exuberans > M. eximia > M. importuna > Mel-13 > Mel-21. Cultivation led to a consistent reduction in soil NO₃⁻-N levels, particularly in M. eximia and Mel-13 (40–50% decrease), while NH₄⁺-N levels did not change significantly, indicating mycelial nitrate preference. Mineral nutrient alterations exhibited distinct species-dependent patterns, with M. eximia showing the greatest increase in exchangeable Ca, while M. importuna and M. sextelata caused the most obvious decreases in available B. Morchella species exerted more pronounced impacts on fungal than bacterial communities, evidenced by significant reductions in alpha diversity—particularly in high-yield M. sextelata—suggesting species-specific fungal inhibition. At the phylum level, consistent depletion of Ascomycota but enrichment of Mortierellomycota were noted. Moreover, correlation analyses identified significant positive associations between morel yield and both fungal community diversity and exchangeable Ca content. This implies that Morchella species restructures soil fungal communities through nutrient competition and mineral-mediated regulation, with calcium acting as a key modulator. Overall, by elucidating the interconnected ‘Morchella species–microbe–mineral’ relationships, this study highlights Morchella species’ distinct regulation of soil microecology, providing valuable insights for the selection of optimized species like M. eximia and targeted soil management in morel cultivation.

Environmental DNA (eDNA) technology, as a minimally invasive or noninvasive monitoring approach, has been increasingly applied in biodiversity surveys and ecosystem health assessment by detecting genetic material in environmental samples. This approach exhibits high sensitivity for identifying rare, endangered, and invasive species, with broad applicability across aquatic, terrestrial, and atmospheric ecosystems. Moreover, eDNA metabarcoding enables large‐scale detection of microbial community structure and function. By systematically synthesizing multi‐environment case studies, this review evaluates optimized eDNA workflows, including sampling (0.22–0.45 μm filtration for aquatic systems, PCI/DNeasy methods for soils, and MD8 samplers for air), DNA extraction, and bioinformatic analysis, integrating standardized guidelines to enhance research reproducibility and comparability. Despite advantages such as reduced field labor and cost efficiency, eDNA applications still face critical challenges, such as reference database gaps, full‐process quality control risks, methodological inconsistencies, and limitations in abundance quantification. Future advancements in sequencing technologies, bioinformatics, and interdisciplinary integration (machine learning, remote sensing) are expected to expand eDNA's role in tackling global change issues such as climate adaptation, pollution tracking, and ecological restoration.

Perfluorooctanoic acid (PFOA) is frequently detected in the environment and accumulates in amphibians such as black-spotted frogs (Rana nigromaculata) with toxic effects; however, the mechanism underlying this toxicity is unclear. In this study, male black-spotted frogs were exposed to 10 μg/L waterborne PFOA for 21 days. Subsequently, the effect of PFOA exposure on gene expression in liver tissue was investigated using transcriptomic techniques. In total, 754 differentially expressed genes (DEGs; 389 up-regulated and 365 down-regulated) were identified. According to Kyoto Encyclopedia of Genes and Genomes enrichment and Gene Ontology functional enrichment analyses, the DEGs were mainly involved in lipid metabolism, endocrine functions, and immunity. Quantitative real-time polymerase chain reaction analysis of 15 selected DEGs revealed a high correlation (R² = 0.9917) with the transcriptomic results. These results indicated that the PFOA hepatotoxicity in frogs is mediated mainly by lipid metabolism dysregulation, endocrine system disruption, and immunotoxicity. This study provides insights into the hepatotoxic mechanism of PFOA and other perfluorinated compounds in amphibians.