Abstract
Soil microorganisms play important roles in the ecosystem functioning of subtropical broad-leaved forests (SBFs). However, the patterns and environmental indicators of soil microbial functional structure remain unclear in SBFs. In the present work, we used a functional microarray (GeoChip 4.0) to examine the soil microbial functional structure of three types of SBFs, including a deciduous broad-leaved forest (DBF), a mixed evergreen-deciduous broad-leaved forest (MBF), and an evergreen broad-leaved forest (EBF). We found that microbial functional structure was significantly different among SBFs (P < 0.05). Compared to the DBF and the EBF, the MBF had higher functional α-diversity (P = 0.001, F = 12.55) but lower β-diversity (P < 0.001, F = 61.09), and showed more complex functional gene networks. Besides, the MBF had higher relative abundances of functional genes for carbon (C) decomposition, C fixation, nitrogen (N) cycling, sulfur (S) cycling, and phosphorus (P) cycling (P < 0.05), indicating stronger microbial functional capabilities of nutrient cycling processes. Edaphic variables (i.e., soil pH and soil nutrient content) were revealed as better indicators of soil microbial functional structure than plant-related ones (i.e., vegetation type and plant diversity) in SBFs. For example, functional gene structure of the DBF was significantly related to soil total S (P = 0.041), that of the MBF was significantly related to soil organic C (P = 0.027) and plant available P (P = 0.034), and that of the EBF was significantly related to soil pH (P = 0.006) and total potassium (K) (P = 0.038). Overall, through the analysis of microbial functional gene profiles, this study yields unique insights into the environmental indicators of patterns and mechanisms of soil microbial functional structure in SBFs.
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