Selecting fungal disturbance indicators to compare forest soil profile re-construction regimes

作者: Nicole Sukdeo , Ewing Teen , P. Michael Rutherford , Hugues B. Massicotte , Keith N. Egger

DOI: 10.1016/J.ECOLIND.2017.09.021

关键词: BiologyEcologyEcosystemRussulaSoil horizonBulk soilRelative species abundanceForest ecologyPilodermaCommunity

摘要: Abstract Physical disturbance of soil profiles, even at shallow depths, is a ubiquitous consequence anthropogenic landscape modification, with short-term impacts on important ecological guilds fungi. DNA-based methods for surveying community composition are widely incorporated into studies attempting to explain fungal responses forest ecosystem disturbances. Here we compare between three distinct profile manipulations (20 cm depth) and undisturbed control plots in sub-boreal spruce the Central Interior region British Columbia, Canada. Fungal differences were tracked by internal transcribed spacer 2 (ITS2) amplicon sequencing, comparisons drawn using genus-level annotations. Non-metric multidimensional scaling (NMDS) analysis indicated that disturbed-sample compositions similar controls 0-months from 5- 12-months post disturbance, but did not indicate clustering samples according regime. We used Linear Discriminant Effect Size (LEfSe) identify genera consistently disturbed or (control) treatments across 12-month sampling times. Four (Exophiala, Hyphodontiella, Mastigobasidium, Umbelopsis) detected higher ranges relative abundance all regimes when compared plots. Deliberate mixing LFH mineral horizon soils stimulated multiple more frequently detectable replicate 12 months, immediately re-assembled ectomycorrhizal (Amphinema, Cortinarius, Piloderma, Russula) identified as strong indicators plot soils. A single genus, Capronia, was differentially abundant stockpiled replaced LFH. Our results consistent declines increases saprotroph previously reported profiling disturbance. This investigation demonstrates bulk can be evaluate soil-handling regimens understand disruption/recovery highlights LEfSe an approach indicator selection DNA-dependent biodiversity surveys.

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