Bacterial traits, N deposition and mycorrhiza. qSIP Aspartic Acid
Data files
Nov 06, 2023 version files 19.11 KB
Abstract
Nitrogen (N) deposition increases soil carbon (C) storage by reducing microbial activity. These effects vary in soil beneath trees that associate with arbuscular (AM) and ectomycorrhizal (ECM) fungi. Variation in carbon C and N uptake traits among microbes may explain differences in soil nutrient cycling between mycorrhizal associations in response to high N loads, a mechanism not previously examined due to methodological limitations. Here, we used quantitative Stable Isotope Probing (qSIP) to measure bacterial C and N assimilation rates from an added organic compound, which we conceptualize as functional traits. As such, we applied a trait-based approach to explore whether variation in assimilation rates of bacterial taxa can inform shifts in soil function under chronic N deposition. We show taxon-specific and community-wide declines of bacterial C and N uptake under chronic N deposition in both AM and ECM soils. N deposition-induced reductions in microbial activity were mirrored by declines in soil organic matter mineralization rates in AM but not ECM soils. Our findings suggest C and N uptake traits of bacterial communities can predict C cycling feedbacks to N deposition in AM soils but additional data, for instance on the traits of fungi, may be needed to connect microbial traits with soil C and N cycling in ECM systems. Our study also highlights the potential of employing qSIP in conjunction with trait–based approaches to inform how ecological processes of microbial communities influence soil functioning
README: Bacterial Traits, N deposition and Mycorrhiza. QSIP Aspartic Acid
https://doi.org/10.5061/dryad.dncjsxm5j
Dataset provides the soil functions measured in the study and serves to support the results we present in the main text
Description of the data and file structure
The methods used to collect the data are detailed in the article. Metadata and units for each variable are given in the dataset itself.
Sharing/Access information
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Links to other publicly accessible locations of the data:
https://www.ncbi.nlm.nih.gov/sra/PRJNA995554
Methods
The methods used to collect the data are detailed in the article. Metadata and units for each variable are given in the dataset itself.