Analyses of soil microbial community compositions and functional genes reveal potential consequences of natural forest succession

Citations Over TimeTop 1% of 2015 papers

Abstract

The succession of microbial community structure and function is a central ecological topic, as microbes drive the Earth's biogeochemical cycles. To elucidate the response and mechanistic underpinnings of soil microbial community structure and metabolic potential relevant to natural forest succession, we compared soil microbial communities from three adjacent natural forests: a coniferous forest (CF), a mixed broadleaf forest (MBF) and a deciduous broadleaf forest (DBF) on Shennongjia Mountain in central China. In contrary to plant communities, the microbial taxonomic diversity of the DBF was significantly (P < 0.05) higher than those of CF and MBF, rendering their microbial community compositions markedly different. Consistently, microbial functional diversity was also highest in the DBF. Furthermore, a network analysis of microbial carbon and nitrogen cycling genes showed the network for the DBF samples was relatively large and tight, revealing strong couplings between microbes. Soil temperature, reflective of climate regimes, was important in shaping microbial communities at both taxonomic and functional gene levels. As a first glimpse of both the taxonomic and functional compositions of soil microbial communities, our results suggest that microbial community structure and function potentials will be altered by future environmental changes, which have implications for forest succession.

Related Papers

• → Variability in sediment microbial communities in a semipermanent stream: impact of drought(2006)53 cited
• → A Tripartite Microbial-Environment Network Indicates How Crucial Microbes Influence the Microbial Community Ecology(2019)8 cited
• On the characteristic of sediments microbial community structure of urban polluted river(2013)
• Research on Seasonal and Spatial Shifts in River Sediments Microbial Community Structure(2010)
• Application of phospholipid fatty acid (PLFA) analysis in microbial ecology(2005)