
Abstract Perennial grasses are promising feedstocks for biofuel production, and there is potential to leverage their native microbiomes to increase their productivity and resilience to environmental stress. Here, we characterize the 16S rRNA gene diversity and seasonal assembly of bacterial and archaeal microbiomes of two perennial cellulosic feedstocks, switchgrass (Panicum virgatum L.) and miscanthus (Miscanthus × giganteus). We sampled leaves and soil every three weeks from pre-emergence through senescence for two consecutive switchgrass growing seasons and one miscanthus season, and identified core leaf taxa based on abundance and occupancy. Virtually all leaf taxa are also detected in soil; source-sink modeling shows non-random, ecological filtering by the leaf, suggesting that soil is important reservoir of phyllosphere diversity. Core leaf taxa include early, mid, and late season groups that were consistent across years and crops. This consistency in leaf microbiome dynamics and core members is promising for microbiome manipulation or management to support biofuel crop production.
Crops, Agricultural, Time Factors, Bacteria, Science, Microbiota, Q, Genetic Variation, Sequence Analysis, DNA, Panicum, Archaea, Article, Plant Leaves, Biofuels, Multivariate Analysis, Seasons, Phylogeny, Soil Microbiology
Crops, Agricultural, Time Factors, Bacteria, Science, Microbiota, Q, Genetic Variation, Sequence Analysis, DNA, Panicum, Archaea, Article, Plant Leaves, Biofuels, Multivariate Analysis, Seasons, Phylogeny, Soil Microbiology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 239 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
