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McDonald, J. E.

Publications and source records attributed to McDonald, J. E..

5 recordsLinked to original sources

Large-scale culturing of the tree microbiome enables targeted disease suppression

The tree microbiome is essential for host health and pathogen suppression. Synthetic microbial communities (SynComs) are emerging as important tools to understand microbiome dynamics and engineer microbiomes to harness beneficial properties. However, while the rational design, assembly and application of SynComs requires representative microbiota isolate collections combined with functional information, microbial culture collections from tree species such as oak (Quercus) are critically lacking. Here, we generated an oak microbiota culture collection comprising >30,000 isolates from 150 oak trees across Britain, belonging to key bacterial and fungal taxa that represented 61% of the total bacterial sequences and 87% of total fungal sequences as determined by culture-independent sequencing. Over 22,000 isolates were screened for suppression of bacterial species associated with degradation of live stem tissue in trees affected by Acute Oak Decline (AOD), identifying 341 bacterial isolates that suppressed oak pathogens. In vitro screening of 40 randomly assembled SynComs demonstrated that oak microbiota SynComs can suppress oak pathogenic bacteria associated with AOD. Inoculation of a disease-suppressive SynCom into the stem of oak seedlings and logs prior to pathogen challenge reduced the quantities of the bacteria, Brenneria goodwinii and Gibbsiella quercinecans, by 56% and 87%, respectively, in seedlings, and 71% and 95% in logs. This work demonstrates that the tree microbiome can be engineered using disease suppressive SynComs.

microbiology↗

Environment and disease have tissue-specific effects on the tree microbiome

Trees are essential for ecosystem function, but due to their long lifespan, are disproportionately impacted by climate change and disease. Tree-associated microbiota are critical for tree health and resilience, but the composition and function of tree microbiomes across different tissue types, and how environmental factors and disease impact tree microbiomes, is poorly understood. Oak trees are major constituents of forests of the Northern hemisphere, but are increasingly impacted by climate and disease. Here, we studied the oak microbiome across Britain, combining 16S rRNA gene and ITS microbial community profiling and shotgun metagenomics of leaf, stem and root/rhizosphere samples, and developed a three-level occupancy model to describe microbiota distribution across the landscape. We show that oak leaf, stem and root/rhizosphere tissues harbour taxonomically and functionally distinct microbiota and identified differences in tissue-specific effects of environmental variables (e.g. temperature, rainfall, ion deposition) on microbiome composition and function. We generated 1657 bacterial, archaeal and fungal metagenome-assembled genomes representing key members of the oak microbiome. Furthermore, the stem microbiome of oak trees with symptoms of Acute Oak Decline, a complex decline disease driven by abiotic and biotic stressors, exhibited reduced bacterial and fungal richness and altered microbiome function. This work represents the most comprehensive microbiome study of a tree species to date. Understanding how tree-associated microbiota respond to environmental change and disease across different tissues is crucial to predict future climate and disease impacts on tree microbiome function, and inform translational approaches to modulate tree microbiomes for plant health.

microbiology↗

Chemical cues from beetle larvae trigger proliferation and virulence of a plant pathogen

Agricultural crop productivity and global forest biomes are coming under increasing threat from insect pests and microbial pathogens. This impact is worsened by inter- kingdom insect-microbe interactions that can increase transmission and disease severity in affected plants. Whilst bacterial chemical cues have been shown to directly influence insect behaviour, the impact of insect-derived compounds on phytopathogens is poorly understood. Here, we investigated the chemical basis for interactions between beetle larvae and bacteria in acute oak decline (AOD), a disease characterised by inner bark necrosis and involving a polymicrobial consortium including Brenneria goodwinii and larval galleries of Agrilus biguttatus. We found that A. biguttatus larval extracts contain chemical elicitors that increase bacterial growth rate and final cell density during in vitro culture, and stimulate the differential expression of [~]600 genes, including the Type III Secretion System and its effectors, which are major virulence factors in plant pathogens. Chemical compounds from closely related insect species did not have this effect. These findings highlight the importance of inter-kingdom interactions in plant disease and suggests a novel mode-of-action for insect-derived chemical elicitors in facilitating the virulence of phytopathogens.

ecology↗

Diverse soil RNA viral communities have the potential to influence grassland ecosystems across multiple trophic levels

Grassland ecosystems form 30-40%1 of total land cover and provide essential ecosystem services, including food production, flood mitigation and carbon storage2. Their productivity is closely related to soil microbial communities3, yet the role of viruses within these critical ecosystems is currently undercharacterised4 and in particular, our knowledge of soil RNA viruses is significantly limited5. Here, we applied viromics6 to characterise soil RNA viral communities along an altitudinal productivity gradient of peat, managed grassland and coastal soils. We identified 3,462 viral operational taxonomic units (vOTUs) and assessed their spatial distribution, phylogenetic diversity and potential host ranges. Soil types exhibited showed minimal similarity in viral community composition, but with >10-fold more vOTUs shared between managed grassland soils when compared with peat or coastal soils. Phylogenetic analyses of viral sequences predicted broad host ranges including bacteria, plants, fungi, vertebrates and invertebrates, contrasting with soil DNA viromes which are typically dominated by bacteriophages7. RNA viral communities therefore likely have the ability to influence soil ecosystems across multiple trophic levels. Our study represents an important step towards the characterisation of terrestrial RNA viral communities and the intricate interactions with their hosts, which will provide a more holistic view of the biology of economically and ecologically important terrestrial ecosystems.

ecology↗

Two-step concentration of complex water samples for the detection of viruses

The accurate detection and quantification of pathogenic viruses in water is essential to understand and reduce the risk of human infection. In this paper, we validated a two-step method for the concentration of enteric viruses in water and wastewater samples. The method involves a tangential flow ultrafiltration step that reduces the sample volume of 1 - 10 L to approx. 50 mL, followed by secondary precipitation using polyethylene glycol 6000 that reduces the volume to 1 - 4 mL. For method validation, surface water samples were spiked with different concentrations of enteric viruses and viral recoveries in the concentrates exceeded 10% in all experiments. The method is suitable for water samples with high and low salinity and turbidity, allowing the accurate comparison of viral titers in a diverse range of water types. Furthermore, the method has the potential to concentrate other pathogens, e.g. bacteria or protozoa. Hence, the use of this method can improve the holistic assessment of risks associated with wastewater contaminated environments.\n\nO_LIModified tangential flow ultrafiltration method that reduces membrane clogging.\nC_LIO_LISecondary concentration with a beef extract-elution step to remove solid matter.\nC_LIO_LIThe two-step concentration method enables at least 10% recovery for different enteric viruses in difficult matrices.\nC_LIO_LIUsing the two-step concentration method 10,000x concentration can be achieved.\nC_LI\n\nSpecifications Table:\n\n\n\nO_TBL View this table:\norg.highwire.dtl.DTLVardef@12d4fceorg.highwire.dtl.DTLVardef@1d2880borg.highwire.dtl.DTLVardef@e1acf6org.highwire.dtl.DTLVardef@226492org.highwire.dtl.DTLVardef@1f8edf0_HPS_FORMAT_FIGEXP M_TBL C_TBL

microbiology↗