| Literature DB >> 36205737 |
Shi-Wei Feng1, Jing-Li Lu1, Jie-Liang Liang1, Zhuo-Hui Wu1, Xinzhu Yi1, Ping Wen1, Feng-Lin Li1, Bin Liao2, Pu Jia3, Wen-Sheng Shu1, Jin-Tian Li1.
Abstract
Metalliferous mine tailings ponds are generally characterized by low levels of nutrient elements, sustained acidic conditions, and high contents of toxic metals. They represent one kind of extreme environments that are believed to resemble the Earth's early environmental conditions. There is increasing evidence that the diversity of fungi inhabiting mine tailings ponds is much higher than previously thought. However, little is known about functional guilds, community assembly, and co-occurrence patterns of fungi in such habitats. As a first attempt to address this critical knowledge gap, we employed high-throughput sequencing to characterize fungal communities in 33 mine tailings ponds distributed across 18 provinces of mainland China. A total of 5842 fungal phylotypes were identified, with saprotrophic fungi being the major functional guild. The predictors of fungal diversity in whole community and sub-communities differed considerably. Community assembly of the whole fungal community and individual functional guilds were primarily governed by stochastic processes. Total soil nitrogen and total phosphorus mediated the balance between stochastic and deterministic processes of the fungal community assembly. Co-occurrence network analysis uncovered a high modularity of the whole fungal community. The observed main modules largely consisted of saprotrophic fungi as well as various phylotypes that could not be assigned to known functional guilds. The richness of core fungal phylotypes, occupying vital positions in co-occurrence network, was positively correlated with edaphic properties such as soil enzyme activity. This indicates the important roles of core fungal phylotypes in soil organic matter decomposition and nutrient cycling. These findings improve our understanding of fungal ecology of extreme environments.Entities:
Keywords: Co-occurrence Network; Community Assembly; Environmental Adaptation; Functional Guild; Mine Tailings Ponds; Stochastic Process
Year: 2022 PMID: 36205737 DOI: 10.1007/s00248-022-02121-6
Source DB: PubMed Journal: Microb Ecol ISSN: 0095-3628 Impact factor: 4.192