Publications by authors named "Adebola Azeez Lateef"

Styrax paralleloneurus is a resin-producing tree native to Sumatra, Indonesia. This study investigated the effects of tapping, bark wounding and forest type on bacterial biota in the stem of styrax in natural and community forests. Amplicon metagenomic sequencing of the 16S rRNA region was deployed to identify the bacterial communities associated with tapped and untapped trees across various environmental and experimental conditions.

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Recently, attention has been shifting toward the perspective of the existence of plants and microbes as a functioning ecological unit. However, studies highlighting the impacts of the microbial community on plant health are still limited. In this study, fungal community (mycobiome) of leaf, root, and soil of symptomatic leaf-spot diseased (SS) oil palm were compared against asymptomatic (AS) trees using ITS2 rRNA gene metabarcoding.

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Article Synopsis
  • The study analyzes soil fungal diversity globally by examining over 4,000 topsoil samples from various ecosystems, revealing how different environmental factors influence fungal communities.
  • It demonstrates the effects of temperature and precipitation on local species richness (alpha diversity) and how these factors contribute to variations in fungal composition and evolutionary relationships (beta and phylogenetic diversity).
  • The research integrates fungal diversity into global biodiversity frameworks, providing maps and insights that can aid in conservation efforts and ecological studies worldwide.
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Several economically important diseases of forest trees and agricultural crops in many parts of the world have been linked to the ascomycete fungal pathogen . This study compared the growth rate of 41 isolates of sourced from different hosts and two countries (Nigeria and Papua New Guinea (PNG)) under six temperature levels (22 °C, 25 °C, 30 °C, 32 °C, 34 °C and 35 °C). Phylogenetic relationships were obtained from the analysis of their nuclear ribosomal DNA internal transcribed sequence (ITS) data.

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