Publications by authors named "Carla Mota Leal"
Article Synopsis
- The study investigates how environmental factors, such as vintage and season, impact the microbial communities associated with grapevines, particularly focusing on the fungal pathobiome.
- Using advanced techniques like metabarcoding and network analysis, researchers analyzed samples from three microhabitats in Hungary’s Tokaj region and identified 123 plant pathogenic genera, noting significant differences in richness and abundance across these areas.
- The findings highlighted that grapevine trunk diseases were more prevalent in wood and bark, while non-GTD pathogens were dominant in soil; seasonal and vintage variations also influenced community composition, with distinct differences observed between healthy and diseased grapevines primarily in wood and bark samples.
Article Synopsis
- Ectomycorrhizal (ECM) fungi play a vital role in temperate forests, helping with ecosystem function and resilience against disturbances.
- A study conducted in the Bükk Mountains of northern Hungary involved DNA metabarcoding of ECM fungi from 62 diverse forest sites, analyzing how environmental factors like pH and soil moisture impact fungal diversity.
- Findings revealed significant relationships between fungal community composition and environmental conditions, though a notable portion of variability remained unexplained, suggesting that both environmental filtering and random processes influence ECM fungal communities.
Improving our knowledge on biotic and abiotic factors that influence the composition of the grapevine mycobiome is of great agricultural significance, due to potential effects on plant health, productivity, and wine characteristics. Here, we assessed the influence of scion cultivar on the diversity and composition of fungal communities in the berries and leaves of three different cultivars. We generated DNA metabarcoding data, and statistically compared the richness, relative abundance, and composition of several functional groups of fungi among cultivars, which are partly explained by measured differences in chemical composition of leaves and berries and physiological traits of leaves.
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