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McPherson, V. J.

Publications and source records attributed to McPherson, V. J..

2 recordsLinked to original sources

Drought and rewetting drive divergent microbial dynamics across soil compartments and reveal Trinickia as a key genus for soybean drought resilience

Drought conditions are projected to intensify under climate change, and engineering more resilient plant microbiomes is a promising route to supporting crop productivity. However, effectively harnessing these microbiomes depends on identifying keystone taxa and functional traits that promote plant drought tolerance. Here, we combine deep shotgun metagenomics with absolute-abundance calibration to track genome-resolved microbial dynamics across a prolonged soybean drought and rewetting cycle. Leveraging 728 high-purity metagenome-assembled genomes that capture ~83% of prokaryotic reads on average, we show that drought drives significantly greater change in community structure in the rhizosphere than in bulk soil. This was accompanied by declining taxonomic, yet rising functional diversity. While rhizosphere communities rapidly recovered within 24 hours of rewetting, bulk soil communities instead underwent a progressive post-rewetting disturbance, consistent with a Birch-effect-driven successional shift. Rhizosphere drought enrichment was dominated by a single, taxonomically underexplored genus, Trinickia, whose genomes encode a coordinated suite of osmotic-stress-tolerance, bio-fertilisation, and phytohormone/polyamine biosynthesis traits consistent with plant growth promotion. Supporting this genomic inference, Trinickia abundance strongly correlated with increased root biomass during active drought, independent of plant developmental stage. Together, these findings identify the rhizosphere as a dynamically responsive compartment during drought and rewetting, and highlight Trinickia species as genomically and phenotypically supported candidates for microbiome-based strategies to improve soybean drought resilience.

microbiology↗

Revegetation following grazing cessation drives sequential shifts in soil microbial functions and life-history strategies over decadal time scales

Revegetation is a key strategy for restoring degraded lands globally. While this process can reshape belowground microbial communities, the extent to which such changes restore soil ecosystem functions, and whether different microbial traits recover synchronously or on distinct timescales remains less clear. Understanding this is essential for evaluating restoration success, as different microbial traits underpin distinct ecosystem services, from carbon storage to plant growth promotion, and the sequence in which these are restored can inform restoration targets and provide meaningful indicators of long-term ecological recovery. To address this, we applied deep metagenomic sequencing to characterise soil microbial responses following revegetation (spanning 1-31 years prior to sampling) on grazing agricultural lands. We find that revegetation following grazing cessation drove significant and sequential shifts in dominant microbial functions and life-history strategies. Functional changes occurred in distinct phases: an early, rapid restructuring of core soil health processes, detectable as early as three years, including enrichment of nutrient retention and carbon fixation pathways, followed by a more gradual development of plant growth-promoting traits as the plant community matures. Genome-resolved analyses of nearly 500 metagenome-assembled genomes revealed a fundamental shift in dominant microbial life history strategies: from a resource-scavenging and stress tolerance profile in grazing soils to strategies that prioritise biosynthesis and growth yields in revegetated soils. These lifestyle shifts have important implications for enhancing the microbial biomass and carbon sink potential of soils. Together, these findings show that microbial functional shifts following revegetation are temporally structured - informing expectations for when key restoration targets may be achieved, and providing a practical framework for monitoring ecosystem recovery.

microbiology↗