DOE Great Lakes Bioenergy Research Center, East Lansing, Michigan, USA.
Michigan State Universitygrid.17088.36, Department of Plant, Soil, and Microbial Sciences, East Lansing, Michigan, USA.
mBio. 2022 Apr 26;13(2):e0007922. doi: 10.1128/mbio.00079-22. Epub 2022 Apr 6.
Switchgrass () 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 NO, Ca, PO, 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. Greenhouse gas reduction, carbon sequestration, and environmental remediation are top research themes within the U.S. Department of Energy funded bioenergy research centers. The utilization of unproductive agricultural land for bioenergy crop production is one of the most promising directions to achieve these goals. Switchgrass is a model biofuel system: it is adapted to a wide variety of geographical regions in North America, it is protective of soil and water resources, and it can be productive in low-fertility soils, but its profitability depends greatly on the biomass yield. Beneficial microbes have known roles in modulating plant biomass production but their interaction with soil geography, and switchgrass cultivars were not thoroughly studied. This study aims to fill important knowledge gaps and to serve as a foundation for switchgrass biomass promotion through microbe selection with an ultimate goal of facilitating sustainable bioenergy crop production.
柳枝稷()是一种用于生物能源生产的模式多年生草本植物,能够在不适宜粮食生产的农业土地上产生经济效益。人们越来越关注其相关微生物组是否能够适应低投入或无投入的栽培系统。然而,植物基因型和土壤因素对植物微生物组和生物量的相对影响是一个难以分离的挑战。为了解决这个问题,进行了一项使用 6 种常见柳枝稷基因型的温室常见花园实验,这些基因型分别在密歇根州和威斯康星州的长期生物能源研究点收集的 4 种不同边缘土壤中生长。我们使用高通量 ITS 和 16S rDNA 标记的扩增子测序来描述真菌和细菌根群落,并在植物生长过程中收集物候学植物特征以及土壤化学特征。在收获时,我们测量了总植物地上干生物量。发现土壤之间存在丰富度和香农多样性的显著差异,但在植物基因型之间没有差异。广义线性模型显示真菌丰富度存在土壤和基因型之间的相互作用,但细菌丰富度没有。群落结构也受到土壤起源和土壤起源与植物基因型相互作用的强烈影响。总体而言,植物基因型的影响虽然显著但很小。随机森林模型表明,影响柳枝稷生物量的重要因素包括硝酸盐、钙、磷和微生物生物多样性。我们确定了 54 个真菌和 52 个细菌预测因子与植物地上生物量相关,其中包括一些属于球囊霉科和根瘤菌科的操作分类单元,以及为植物提供养分的真菌和细菌谱系。减少温室气体排放、碳封存和环境修复是美国能源部资助的生物能源研究中心的顶级研究主题之一。利用非生产性农业土地生产生物能源作物是实现这些目标的最有前途的方向之一。柳枝稷是一种模式生物燃料系统:它适应于北美的各种地理区域,它对土壤和水资源具有保护作用,并且能够在低肥力土壤中产生经济效益,但它的盈利能力在很大程度上取决于生物量产量。有益微生物在调节植物生物量生产方面具有已知作用,但它们与土壤地理学以及柳枝稷品种之间的相互作用尚未得到深入研究。本研究旨在填补重要的知识空白,并为通过微生物选择促进柳枝稷生物量提供基础,最终目标是促进可持续的生物能源作物生产。