Soil microorganisms participate in almost all soil ecological processes and are essential in maintaining ecosystem functions and terrestrial carbon, nitrogen, and sulfur cycles. Soil bacterial communities, networks, biogeochemical cycles, and land use types influence it. However, there are few studies on the changes in these indicators and their influencing factors under different land use types. Taking Dongting Lake watershed as an example, high-throughput sequencing technology combined with FAPROTAX were used to analyze the characteristics and influencing factors of soil bacterial community, network structure, and C, N, and S cycle function genes under different land use conditions. Land use types include paddy fields (PF), garden plots (GP), woodland (WL), and sloped arable land (SAL). PLS-PM model and redundancy analysis method were used to study the mechanism of soil bacterial community, network structure, functional genes, and environmental variables. The results showed that the relative abundance of dominant phylum and dominant fungi changed significantly in different land use types. The first three dominant gates in WL had the most considerable abundance and the most extensive diversity index of PF. The symbiotic network of PF has the most effective connectivity and average degree, the minor network diameter, the most complex network structure, and fierce competition among species within the same ecological niche. The results of functional genes showed that different land use types significantly changed the abundance of soil C, N, and S cycle functional genes, and soil bacteria predicted the highest abundance of functional genes in GP. C, N, and S circulating function genes were significantly correlated with pH, soil nutrients, and soil texture (P < 0.05). PLS-PM model and redundancy analysis showed that soil pH was the main factor affecting the bacterial community, network structure, and functional genes, followed by soil nutrients.
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