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Soil Origin and Plant Genotype Modulate Switchgrass Aboveground Productivity and Root Microbiome Assembly

Journal Article · · mBio (Online)
 [1];  [2];  [2];  [2];  [3];  [2]
  1. DOE Great Lakes Bioenergy Research Center, East Lansing, MI (United States); Michigan State Univ., East Lansing, MI (United States); Michigan State University, Department of Plant, Soil, and Microbial Sciences
  2. DOE Great Lakes Bioenergy Research Center, East Lansing, MI (United States); Michigan State Univ., East Lansing, MI (United States)
  3. DOE Great Lakes Bioenergy Research Center, East Lansing, MI (United States)

Switchgrass (Panicum virgatum) is a model perennial grass for bioenergy production that can be productive in agricultural lands that are not suitable for food production. There is growing interest in whether its associated microbiome may be adaptive in low- or no-input cultivation systems. However, the relative impact of plant genotype and soil factors on plant microbiome and biomass are a challenge to decouple. To address this, a common garden greenhouse experiment was carried out using six common switchgrass genotypes, which were each grown in four different marginal soils collected from long-term bioenergy research sites in Michigan and Wisconsin. We characterized the fungal and bacterial root communities with high-throughput amplicon sequencing of the ITS and 16S rDNA markers, and collected phenological plant traits during plant growth, as well as soil chemical traits. At harvest, we measured the total plant aerial dry biomass. Significant differences in richness and Shannon diversity across soils but not between plant genotypes were found. Generalized linear models showed an interaction between soil and genotype for fungal richness but not for bacterial richness. Community structure was also strongly shaped by soil origin and soil origin × plant genotype interactions. Overall, plant genotype effects were significant but low. Random Forest models indicate that important factors impacting switchgrass biomass included NO3, Ca2+, PO43–, and microbial biodiversity. We identified 54 fungal and 52 bacterial predictors of plant aerial biomass, which included several operational taxonomic units belonging to Glomeraceae and Rhizobiaceae, fungal and bacterial lineages that are involved in provisioning nutrients to plants.

Research Organization:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
SC0018409
OSTI ID:
1863550
Journal Information:
mBio (Online), Journal Name: mBio (Online) Journal Issue: 2 Vol. 13; ISSN 2150-7511
Publisher:
American Society for Microbiology (ASM)Copyright Statement
Country of Publication:
United States
Language:
English

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