Functional soil mycobiome across ecosystems.

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.

Explorative Meta-Analysis of 417 Extant Archaeal Genomes to Predict Their Contribution to the Total Microbiome Functionality.

Revealing the relationship between taxonomy and function in microbiomes is critical to discover their contribution to ecosystem functioning. However, while the relationship between taxonomic and functional diversity in bacteria and fungi is known, this is not the case for archaea. Here, we used a meta-analysis of 417 completely annotated extant and taxonomically unique archaeal genomes to predict the extent of microbiome functionality on Earth contained within archaeal genomes using accumulation curves of all known level 3 functions of KEGG Orthology. We found that intergenome redundancy as functions present in multiple genomes was inversely related to intragenome redundancy as multiple copies of a gene in one genome, implying the tradeoff between additional copies of functionally important genes or a higher number of different genes. A logarithmic model described the relationship between functional diversity and species richness better than both the unsaturated and the saturated model, which suggests a limited total number of archaeal functions in contrast to the sheer unlimited potential of bacteria and fungi. Using the global archaeal species richness estimate of 13,159, the logarithmic model predicted 4164.1 ± 2.9 KEGG level 3 functions. The non-parametric bootstrap estimate yielded a lower bound of 2994 ± 57 KEGG level 3 functions. Our approach not only highlighted similarities in functional redundancy but also the difference in functional potential of archaea compared to other domains of life.

The structure and function of soil archaea across biomes.

We lack a predictive understanding of the environmental drivers determining the structure and function of archaeal communities as well as the proteome associated with these important soil organisms. Here, we characterized the structure (by 16S rRNA gene sequencing) and function (by metaproteomics) of archaea from 32 soil samples across terrestrial ecosystems with contrasting climate and vegetation types. Our multi-"omics" approach unveiled that genes from Nitrosophaerales and Thermoplasmata dominated soils collected from four continents, and that archaea comprise 2.3 ± 0.3% of microbial proteins in these soils. Aridity positively correlated with the proportion of Nitrosophaerales genes and the number of archaeal proteins. The interaction of climate x vegetation shaped the functional profile of the archaeal community. Our study provides novel insights into the structure and function of soil archaea across climates, and highlights that these communities may be influenced by increasing global aridity.