FEMS Microbiology Ecology · 2024 · 48 citations · 51 references
Life SciencesEcologyMicrobiologyMicrobial EcologySoil MicrobiologySoil Organic MatterFungal DiversityLitter DecompositionMicrobial DecompositionMicrobial DiversityOrganic Matter DecompositionPlant-associated Microbial CommunitiesEcosystem ProcessEnzyme-mediated Organic Matter DecompositionFungal Functional DiversityMicrobial Community CompositionMicrobial Community DiversityPlant Litter DecompositionSaprotrophic DecompositionSaprotrophic Fungal Diversity
Litter decomposition is a key ecosystem process, relevant for the release and storage of nutrients and carbon in soil. Soil fungi are one of the dominant drivers of organic matter decomposition, but fungal taxa differ substantially in their functional ability to decompose plant litter. Knowledge is mostly based on observational data and subsequent molecular analyses and in vitro studies have been limited to forest ecosystems. In order to better understand functional traits of saprotrophic soil fungi in grassland ecosystems, we isolated 31 fungi from a natural grassland and performed several in vitro studies testing for i) leaf and wood litter decomposition, ii) the ability to use carbon sources of differing complexity, iii) the enzyme repertoire. Decomposition strongly varied among phyla and isolates, with Ascomycota decomposing the most and Mucoromycota decomposing the least. The phylogeny of the fungi and their ability to use complex carbon were the most important predictors for decomposition. Our findings show that it is crucial to understand the role of individual members and functional groups within the microbial community. This is an important way forward to understand the role of microbial community composition for the prediction of litter decomposition and subsequent potential carbon storage in grassland soils.
51
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Ribosomal Database Project: data and tools for high throughput rRNA analysis
James R. Cole, Qiong Wang, Jordan Fish et al. · Nucleic Acids Research · 2013 · 4.6K citations · Full text
Life Sciences, Biology, Microbiology +16
phangorn: phylogenetic analysis in R
Klaus Schliep · Bioinformatics · 2010 · 4K citations · Full text
How to measure and test phylogenetic signal
Tamara Münkemüller, Sébastien Lavergne, Bruno Bzeznik et al. · Methods in Ecology and Evolution · 2012 · 1.1K citations · Full text