The mechanisms underlying hydrochar-regulated soil organic carbon (SOC) decomposition in the coastal salt-affected soils were first investigated. Straw-derived hydrochar (SHC)-induced C-transformation bacterial modulation and soil aggregation enhancement primarily accounted for negative priming effects. Modification of soil properties (e.g., decreased pH and increased C/N ratios) by straw-derived pyrochar (SPC) was responsible for decreased SOC decomposition.

Arbuscular mycorrhizal fungi (AMF) reduced Cd migration in the rhizosphere through microbial community variation, exhibiting a distinct deterministic process, which ultimately resulted in a core microbiome function of heavy metal resistance and nutrient cycling. The above process is related to upregulating root metabolites by AMF, with flavonoids, coumarin, fatty acids and so on being the main factor causing microbiome variation. Additionally, the superposition of the root metabolites, microbial, and soil make contributed to Cd migration reduction, and the microbial model had the highest single explanation rate. Thus, the AMF in the rhizosphere microenvironment can regulate metabolite-soil-microbial interactions, reducing Cd migration.

ScRNAPip (https://github.com/OpenGene/scrnapip) is a reproducible computational workflow for scRNA-seq data analysis. It incorporates multiple analysis modules including quality control, normalization, data correction, pseudotime analysis, copy number analysis, cellular interactions, and so on. This study will serve as a tutorial for researchers interested in single-cell data analysis and help users build and update their analysis pipelines.

The framework of the MicroEXPERT platform. Our Platform was composed of five modules. Data management module: Users upload raw data and metadata to the system using a guided workflow. Data processing module: Uploaded data is processed to generate taxonomical distribution and functional composition results. Metagenome-wide association studies module (MWAS): Various methods, including biomarker analysis, PCA, co-occurrence networks, and sample classification, are employed using metadata. Data search module: Users can query nucleotide sequences to retrieve information in the MicroEXPERT database. Data visualization module: Visualization tools are used to illustrate the metagenome analysis results.

Environmental DNA (eDNA) is a quick and accurate method for biodiversity assessment. This study first used eDNA-assessed regional plant species diversity. Temperature instead of precipitation is the main factors affecting plant diversity. Human activities were proven to affect plant species diversity in desert areas. More instant plant diversity results need to be done for desertification control.