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ATCC Genome Portal: Fungal Genome Assembly Improvements and Mitochondrial DNA Recovery

Poster
3D illustration of Candida fungi

SFA2F 2026

Santa Fe, New Mexico, United States

May 19, 2026

Abstract

Broadly, the utility of genomic data is constrained by the tools, assumptions, and quality of reference data available at the time the data is generated. As a result, many historical datasets contain biological signals that remain obscured until advances in analytical methods and increased reference representation enable strategic reanalysis.

Here, we perform a comparative analysis of authenticated fungal assemblies from the ATCC Genome Portal against publicly available reference data to assess genome quality, including completeness, genome length, annotation consistency, and phylogenetic classification. This highlights current limitations in fungal genome characterization and identifies opportunities to strengthen dataset quality, improve database design, while preserving the potential for future discovery.

Because mitochondrial genome representations remain inconsistent across public fungal databases, we further evaluate mitochondrial genome availability in a subset of fungal genomes, to explore the potential of mitochondrial DNA (mtDNA) as a complementary resource for phylogenetic inference. Fungal mtDNA exhibits low recombination, diverse inheritance patterns, and mutation rates distinct from the nuclear genome, providing an additional method for improving lineage resolution alongside nuclear‑based classification systems. By revisiting existing genomic datasets, this work demonstrates how preserving data provenance enables iterative refinement of genomic data and can reveal new evolutionary insights.

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Presenter

Emily White.jpg

Emily White, MS

Bioinformatician, Sequencing & Bioinformatics, ATCC

Emily currently works at the intersection of academia, public health, and industry as a bioinformatician at ATCC, where her responsibilities span de novo microbial genome assembly, rigorous quality‑control review, and ongoing efforts to understand customer needs and improve the usability of our data. With a background in human molecular genetics and experience across clinical, population, and integrative genomic analyses, she is naturally drawn toward broader questions of data stewardship, reproducibility, and discovery science.

DNA rods with bacteria.

Reference-quality sequences

Through the ATCC Genome Portal, you can easily search, access, and analyze thousands of reference-quality genome sequences. Our optimized methodology is designed to achieve complete, circularized (when biologically appropriate), and contiguous genomic elements by using short-read (virology collection) and hybrid (bacteriology, mycology, and protistology collections) assembly techniques. We then take our workflow one step further by accompanying each stage of the process with rigorous quality control analyses that ensure the highest quality data. Only the data that passes all quality control criteria are published to the ATCC Genome Portal. Visit the portal today to find the high-quality data you need for your research.

Visit the portal