The release of large quantities of microorganisms to soil for purposes such as pest
control or plant growth promotion may affect the indigenous soil microbial communities. In
our study, we investigated potential effects of Metarhizium brunneum
ART2825 on soil fungi and prokaryota in bulk soil using high-throughput sequencing of
ribosomal markers. Different formulations of this strain, and combinations of the fungus
with garlic as efficacy-enhancing agent, were tested over 4 months in a pot and a field
experiment carried out for biological control of Agriotes spp. in
potatoes. A biocontrol effect was observed only in the pot experiment, i.e. the
application of FCBK resulted in 77% efficacy. Colony counts combined with genotyping and
marker sequence abundance confirmed the successful establishment of the applied strain.
Only the formulated applied strain caused small shifts in fungal communities in the pot
experiment. Treatment effects were in the same range as the effects caused by barley
kernels, the carrier of the FCBK formulation and temporal effects. Garlic treatments and
time affected prokaryotic communities. In the field experiment, only spatial differences
affected fungal and prokaryotic communities. Our findings suggest that M.
brunneum may not adversely affect soil microbial communities.
Efficacy of the Metarhizium brunneum Petch (Hypocreales: Clavicipitaceae) strain ART2825 for control of wireworms (Agriotes obscurus (L.), Coleoptera: Elateridae) was examined in a semi-field pot experiment. Pots were treated in late summer during sowing of spring oat as a cover crop. Survival of wireworms was assessed four weeks after their release in October 2013, and 30 weeks after release in April 2014. Viability and persistence of the fungus was determined by counting colony forming units from substrate samples and microsatellite analyses of recovered Metarhizium isolates. The number of colonies detected in the substrate in October 2013 increased with increasing concentrations of applied conidia, and no significant reduction was observed at the second evaluation date in April 2014. Increasing conidia application rates significantly increased mycosis and reduced wireworm survival, to a level comparable to that of treatment using insecticide-coated oat seeds. The preventive application of M. brunneum conidia to reduce wireworm populations in cover crops, preceding a damage-sensitive crop like potatoes, may be a promising biocontrol strategy.
Despite the importance of soil microorganisms for ecosystem services, long‐term surveys of their communities are largely missing. Using metabarcoding, we assessed temporal dynamics of soil bacterial and fungal communities in three land‐use types, i.e., arable land, permanent grassland, and forest, over five years. Soil microbial communities remained relatively stable and differences over time were smaller than those among sites. Temporal variability was highest in arable soils. Indications for consistent shifts in community structure over five years were only detected at one site for bacteria and at two sites for fungi, which provided further support for long‐term stability of soil microbial communities. A sliding window analysis was applied to assess the effect of OTU abundance on community structures. Partial communities with decreasing OTU abundances revealed a gradually decreasing structural similarity with entire communities. This contrasted with the steep decline of OTU abundances, as subsets of rare OTUs (<0.01%) revealed correlations of up to 0.97 and 0.81 with the entire bacterial and fungal communities. Finally, 23.4% of bacterial and 19.8% of fungal OTUs were identified as scarce, i.e., neither belonging to site‐cores nor correlating to environmental factors, while 67.3% of bacterial and 64.9% of fungal OTUs were identified as rare but not scarce. Our results demonstrate high stability of soil microbial communities in their abundant and rare fractions over five years. This provides a step towards defining site‐specific normal operating ranges of soil microbial communities, which is a prerequisite for detecting community shifts that may occur due to changing environmental conditions or anthropogenic activities.
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