Helan Mountains Coniferous–Broadleaf Mixed Forest Soil Microbial Diversity and Soil Physicochemical Properties Dataset

SM is measured using the drying and weighing method; Electrical conductivity (EC) and pH value were measured using electrode method and potential method, respectively; TC, TN, and TP were determined using elemental analyzer method, semi trace Kjeldahl nitrogen determination method, and sodium hydroxide molten molybdenum antimony colorimetric method, respectively; SOC, AN, AP, and AK were determined by potassium dichromate oxidation external heating method, alkaline diffusion method, sodium bicarbonate leaching molybdenum antimony colorimetric method, and ammonium acetate leaching flame photometry method, respectively. Extraction of Total Genomic DNA from Soil Microorganisms Using FastDNA ® SPIN Kit kit (MP Biomedicines, USA).

The raw offline data is processed based on the QIIME 2 (v2022.8) process. Representative sequences of bacterial and fungal ASVs were based on RDP (v11.5) and UNITE (v9.0) reference databases, respectively, and annotated using a q2 feature classifier naive Bayes classifier with confidence thresholds of 0.8 and 0.6, respectively. Based on the annotation results, bacterial ASVs from chloroplasts, mitochondria, and plant sources, as well as fungal ASVs from non fungal eukaryotic sources, were excluded.

Obtain the absolute copy numbers of bacterial and fungal ASVs, measured in copies · g ⁻¹ of freeze-dried soil. Based on the rrnDB database (v5.6), the copy number of bacterial 16S rRNA genes was corrected to reduce bias in abundance estimation caused by multiple gene copies. Specifically, the gene copy number of each ASV was divided by the average copy number of its corresponding taxonomic unit to obtain the estimated cell equivalent, measured in cells · g ⁻¹ of freeze-dried soil. This dataset consists of 6 data tables.