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Ashworth, V. E.

Publications and source records attributed to Ashworth, V. E..

2 recordsLinked to original sources

Orchard management alters citrus root and rhizosphere microbiomes with functional consequences for plant performance

Agricultural management practices act as ecological disturbances that can restructure soil and plant-associated microbial communities, but the functional consequences of these microbial shifts on crop performance remain poorly understood. Here, we examined how common orchard inputs, including wood mulch, glyphosate, and humic acid, affect citrus root and rhizosphere microbiomes and tree performance over a three-year field experiment. Mulch emerged as the dominant driver of microbiome structure, significantly altering bacterial and fungal community composition and increasing rhizosphere alpha diversity. Root microbiomes remained comparatively stable, suggesting stronger host selective forces within root tissues. Mulched rhizospheres were enriched with saprotrophic fungi and metabolically diverse bacteria, while non-mulched soils contained taxa typically associated with nutrient cycling, like Rhizobium, Sphingomonas, and Nitrososphaera. Interactions between mulch and glyphosate further reshaped bacterial communities and corresponded with reduced tree physiological performance, including photosynthesis rates. To verify whether these microbial shifts were contributing to these plant phenotype changes, we conducted a greenhouse experiment using field-derived soil microbiota. Active microbiota from mulch-treated soils reduced citrus seedling establishment and root growth relative to microbiota from non-mulched soils, whereas heat-killed controls eliminated these negative effects, demonstrating a causal relationship between management-induced microbiota changes and decreases in plant performance. In contrast, humic acid influenced plant growth primarily through direct abiotic effects rather than microbial community-level traits. Together, our results show that orchard management practices can restructure citrus microbiomes and generate community-level traits that influence plant performance, highlighting the importance of incorporating microbial ecology and microbiome information when designing and testing crop management strategies.

systems biology↗

Closed-reference metatranscriptomics enables in planta profiling of putative virulence activities in the grapevine trunk-disease complex

Grapevines, like other perennial crops, are affected by so-called trunk diseases, which damage the trunk and other woody tissues. Mature grapevines typically contract more than one trunk disease and often multiple grapevine trunk pathogens (GTPs) are recovered from infected tissues. The co-existence of different GTP species in complex and dynamic microbial communities complicates the study of the molecular mechanisms underlying disease development especially under vineyard conditions. The objective of this study was to develop and optimize a community-level transcriptomics (i.e., metatranscriptomics) approach that can monitor simultaneously the virulence activities of multiple GTPs in planta. The availability of annotated genomes for the most relevant co-infecting GTPs in diseased grapevine wood provided the unprecedented opportunity to generate a multi-species reference for mapping and quantifying DNA and RNA sequencing reads. We first evaluated popular sequence read mappers using permutations of multiple simulated datasets. Alignment parameters of the selected mapper were optimized to increase the specificity and sensitivity for its application to metagenomics and metatranscriptomics analyses. Initial testing on grapevine wood experimentally inoculated with individual GTPs confirmed the validity of the method. Using naturally-infected field samples expressing a variety of trunk disease symptoms, we show that our approach provides quantitative assessments of species composition as well as genome-wide transcriptional profiling of potential virulence factors, namely cell wall degradation, secondary metabolism and nutrient uptake for all co-infecting GTPs.

genomics↗