Fungi support a wide range of ecosystem processes such as decomposition of organic matter and plant-soil relationships. Yet, our understanding of the factors driving the metaproteome of fungal communities is still scarce. Here, we conducted a field survey including data on fungal biomass (by phospholipid fatty acids, PLFA), community composition (by metabarcoding of the 18S rRNA gene from extracted DNA) and functional profile (by metaproteomics) to investigate soil fungi and their relation to edaphic and environmental variables across three ecosystems (forests, grasslands, and shrublands) distributed across the globe. We found that protein richness of soil fungi was significantly higher in forests than in shrublands. Among a wide suite of edaphic and environmental variables, we found that soil carbon content and plant cover shaped evenness and diversity of fungal soil proteins while protein richness correlated to mean annual temperature and pH. Functions shifted from metabolism in forests to information processing and storage in shrublands. The differences between the biomes highlight the utility of metaproteomics to investigate functional microbiomes in soil. SIGNIFICANCE: Understanding the structure and the function of fungal communities and the driving factors is crucial to determine the contribution to ecosystem services of fungi and what effect future climate has. While there is considerable knowledge on the ecosystem processes provided by fungi such as decomposition of organic matter and plant-soil relationships, our understanding of the driving factors of the fungal metaproteome is scarce. Here we present the first estimates of fungal topsoil protein diversity in a wide range of soils across global biomes. We report taxonomic differences for genes delivered by amplicon sequencing of the 18S rRNA gene and differences of the functional microbiome based on metaproteomics. Both methods gave a complementary view on the fungal topsoil communities, unveiling both taxonomic and functional changes with changing environments. Such a comprehensive multi-omic analysis of fungal topsoil communities has never been performed before, to our knowledge.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jprot.2021.104428DOI Listing

Publication Analysis

Top Keywords

fungal topsoil
12
wide range
8
ecosystem processes
8
decomposition organic
8
organic matter
8
matter plant-soil
8
plant-soil relationships
8
relationships understanding
8
fungal
8
fungal communities
8

Similar Publications

Several recent investigations into montane regions have reported on excess mercury accumulation in high-altitude forest ecosystems. This study explored the Singalila National Park, located on the Singalila ridge of the Eastern Himalayas, revealing substantial mercury contamination. Particular focus was on Sandakphu (3636 m), the highest peak in West Bengal, India.

View Article and Find Full Text PDF

Shifts in fungal communities drive soil profile nutrient cycling during grassland restoration.

mBio

January 2025

State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A & F University, Yangling, Shaanxi, China.

Soil microbial diversity and community life strategies are crucial for nutrient cycling during vegetation restoration. Although the changes in topsoil microbial communities during restoration have been extensively studied, the structure, life strategies, and function of microbial communities in the subsoil remain poorly understood, especially regarding their role in nutrient cycling during vegetation restoration. In this study, we conducted a comprehensive investigation of the changes in the soil microbial community, assembly process, life strategies, and nutrient cycling functional genes in soil profiles (0-100 cm) across a 36 year chronosequence (5, 15, 28, and 36 years) of fenced grassland and one grazing grassland on the Loess Plateau of China.

View Article and Find Full Text PDF

Grazing can alter the physicochemical properties of soil and quickly influence the composition of microbial communities. However, the effects of grazing intensity on fungal community composition in different soil depth remain unclear. On the Inner Mongolia Plateau, we studied the effects of grazing intensity treatments including no grazing (NG), light grazing (LG), moderate grazing (MG), heavy grazing (HG), and over grazing (OG) on the physicochemical properties and fungal community composition of surface (0-20 cm) and subsurface (20-40 cm) soil layers.

View Article and Find Full Text PDF

Agroforestry systems are multifunctional land-use systems that promote soil life. Despite their large potential spatio-temporal complexity, the majority of studies that investigated soil organisms in temperate cropland agroforestry systems focused on rather non-complex systems. Here, we investigated the topsoil and subsoil microbiome of two complex and innovative alley cropping systems: an agrosilvopastoral system combining poplar trees, crops, and livestock and a syntropic agroforestry system combining 35 tree and shrub species with forage crops.

View Article and Find Full Text PDF

Mercury tolerance and bioremediation potential of mountain soil bacteria: Insights from Darjeeling, containing elevated levels of mercury.

Sci Total Environ

January 2025

Molecular Biology and Tissue Culture Laboratory, Department of Tea Science, University of North Bengal, Siliguri, West Bengal, India. Electronic address:

More and more research is now being focused on the mercury contamination of remote mountain environments. This study aimed to explore the mountain soil of Tiger Hill, Darjeeling, through the lens of its mercury tolerant bacterial microbiome to characterize regional mercury pollution and isolate strains with mercury bioremediation potential. The soil bacteria isolated from the region displayed an extreme tolerance to mercury at previously unseen levels of up to 7 mg/mL.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!