@article{fdi:010088061,
  title = {{N}onlinear effects induced by interactions among functional groups of bacteria and fungi regulate the priming effect in {M}alagasy soils},
  author = {{J}aillard, {B}. and {R}azanamalala, {K}. and {V}iolle, {C}. and {B}ernard, {L}aetitia},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he priming effect ({PE}) occurs when fresh organic matter ({FOM}) supplied to soil alters the rate of decomposition of older soil organic matter ({SOM}). {T}he {PE} can be generated by different mechanisms driven by interactions between microorganisms with different live strategies and decomposition abilities. {A}mong those, stoichiometric decomposition results from {FOM} decomposition, which induces the decomposition of {SOM} by the release of exoenzymes by {FOM}-decomposers. {N}utrient mining results from the co-metabolism of energy-rich {FOM} with nutrient-rich {SOM} by {SOM}-decomposers. {W}hile existing statistical approaches enable measurement of the effect of community composition (linear effect) on the {PE}, the effect of interactions among co-occurring populations (non-linear effect) is more difficult to grasp. {W}e compare a non-linear, clustering approach with a strictly linear approach to separately and comprehensively capture all linear and non-linear effects induced by soil microbial populations on the {PE} and to identify the species involved. {W}e used an already published data set, acquired from two climatic transects of {M}adagascar {H}ighlands, in which the high-throughput sequencing of soil samples was applied parallel to the analysis of the potential capacity of microbial communities to generate {PE} following a {C}-13-labeled wheat straw input. {T}he linear and clustering approaches highlight two different aspects of the effects of microbial biodiversity on {SOM} decomposition. {T}he comparison of the results enabled identification of bacterial and fungal families, and combinations of families, inducing either a linear, a non-linear, or no effect on {PE} after incubation. {B}acterial families mainly favoured a {PE} proportional to their relative abundances in soil (linear effect). {I}nversely, fungal families induced strong non-linear effects resulting from interactions among them and with bacteria. {O}ur findings suggest that bacteria support stoichiometric decomposition in the first days of incubation, while fungi support mainly the nutrient mining of soil's organic matter several weeks after the beginning of incubation. {U}sed together, the clustering and linear approaches therefore enable the estimation of the relative importance of linear effects related to microbial relative abundances, and non-linear effects related to interactions among microbial populations on soil properties. {B}oth approaches also enable the identification of key microbial families that mainly regulate soil properties.},
  keywords = {assembly motif ; bacteria ; biodiversity ; combinatorial analysis ; ecosystem functioning ; fungi ; organic matter ; priming effect ; soil ; {MADAGASCAR}},
  booktitle = {},
  journal = {{M}icroorganisms},
  volume = {11},
  numero = {5},
  pages = {1106 [22 p.]},
  year = {2023},
  DOI = {10.3390/microorganisms11051106},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088061},
}