Plant Cell & Environment · 2023 · 17 citations · 67 references
Life SciencesMicrobiologyPlant SciencesMicrobial EcologyMicrobial MetabolismMicrobiome ResearchPlant MicrobiomeRhizosphere BiologyRhizosphere EcologyRhizosphere MicrobiologyRoot PhysiologyRoot-microbe InteractionsInternal Transcribed Spacer SequencingMicrobial Functional DiversityMicrobial Functional ProfilingRhizosphere MetabolomicsRhizosphere MetagenomicsRhizosphere MicrobiomesRoot FunctionRoot-associated Fungi
Traditionally, fine roots were grouped using arbitrary size categories, rarely capturing the heterogeneity in physiology, morphology and functionality among different fine root orders. Fine roots with different functional roles are rarely separated in microbiome-focused studies and may result in confounding microbial signals and host-filtering across different root microbiome compartments. Using a 26-year-old common garden, we sampled fine roots from four temperate tree species that varied in root morphology and sorted them into absorptive and transportive fine roots. The rhizoplane and rhizosphere were characterized using 16S rRNA gene and internal transcribed spacer region amplicon sequencing and shotgun metagenomics for the rhizoplane to identify potential microbial functions. Fine roots were subject to metabolomics to spatially characterize resource availability. Both fungi and bacteria differed according to root functional type. We observed additional differences between the bacterial rhizoplane and rhizosphere compartments for absorptive but not transportive fine roots. Rhizoplane bacteria, as well as the root metabolome and potential microbial functions, differed between absorptive and transportive fine roots, but not the rhizosphere bacteria. Functional differences were driven by sugar transport, peptidases and urea transport. Our data highlights the importance of root function when examining root-microbial relationships, emphasizing different host selective pressures imparted on different root microbiome compartments.
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Fast gapped-read alignment with Bowtie 2
Ben Langmead, Steven L. Salzberg · Nature Methods · 2012 · 61.1K citations
DADA2: High-resolution sample inference from Illumina amplicon data
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