Tabima Laboratory @ Clark University

Projects

Tabima Lab Research Overview

The Tabima Lab investigates the evolution, ecology, and genomics of non-Dikarya fungi, with a focus on the genus Basidiobolus and its interactions with amphibian hosts and environmental substrates. Our research integrates field ecology, experimental biology, microbial genomics, and bioinformatics to understand fungal adaptation, life cycle plasticity, and their broader implications for ecosystem and public health.

Life Cycle Plasticity and Genome Evolution in Basidiobolus
Life Cycle Plasticity and Genome Evolution in Basidiobolus Basidiobolus Genomics

We study how Basidiobolus transitions among vertebrate guts, leaf litter, soil, insects, and aquatic sediments. Through whole-genome sequencing, comparative genomics, and secondary metabolite profiling, we test whether specialists and generalists differ in genome architecture and defense chemistry.

Microbiomes and Host Fungal Interactions in Amphibians
Microbiomes and Host–Fungal Interactions in Amphibians

Our group examines intrinsic and induced resistance to common antifungals, including the regulation of biosynthetic gene clusters and the molecular defense responses activated under therapeutic challenge. We integrate transcriptomics, metabolomics, and functional assays in collaboration with partners at UW–Madison.

Antifungal Resistance Mechanisms in Emerging Zoopagomycota
Antifungal Resistance Mechanisms in Emerging Zoopagomycota

We characterize skin and gut fungal communities across amphibian species to determine how host ecology, urbanization, and infection pressure shape microbial assembly. Field studies in New England and the Pacific Northwest are paired with culture-based enrichment experiments to uncover novel fungal diversity and host-microbe dynamics.

Urbanization and Waterway Microbial Ecology
Urbanization and Waterway Microbial Ecology

We investigate how land use influences microbial diversity in sediments, water, and wildlife along the Tatnuck Brook watershed and other regional systems. High-throughput sequencing and ecological modeling allow us to identify drivers of fungal community change with relevance for environmental monitoring.

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