This momentum gap is now getting targeted support. This spring, the U.S. Department of War (DOW, formerly the Department of Defense) funded University of Tennessee, Knoxville researchers Cong Trinh and co-principal investigator Seunghyun Ryu to build new tools for high-throughput genetic analysis in fungi. The effort is designed to scale functional discovery beyond the traditional bottlenecks that have limited fungal genomics.

The grant concentrates on Candida species, which can pose operational risks by contaminating and degrading DOW-relevant systems. Such systems include aircraft fuel infrastructure, vehicles, electronics, and protective coatings. In these environments, fungi can persist and spread, turning microbial management into a recurring reliability challenge.

A key scientific obstacle is fungal genetic diversity. Many fungi exhibit multiple gene copies—polyploidy—creating a flexible genetic landscape that can respond rapidly to stress. This versatility can translate into quicker adaptation to antifungal agents and other control strategies, undermining long-term mitigation efforts.

Under the funded program, Trinh and Ryu will develop synthetic biology–based approaches to rapidly characterize large sets of fungal genes. Rather than screening indiscriminately, the project will prioritize genes linked to mitochondrial function.

Mitochondria are central to energy production and also influence how cells regulate stress responses. Because these organelle-linked pathways can affect tolerance to chemicals, mapping mitochondrial gene variation may reveal why some fungal strains withstand hostile conditions better than others.

The researchers aim to establish a clearer relationship between genetic variation and stress resistance. The end goal is twofold: to generate actionable insights for reducing fungal contamination in Army-relevant settings and to deliver broadly useful experimental platforms for fungal biology and biotechnology.

Subject of Research: High-throughput fungal gene analysis (Candida), mitochondrial-function genetics, stress resistance, synthetic biology tools.
Article Title: Trinh, Ryu Receive DOW Funding for Fungal Biotechnology Research
News Publication Date: Not provided in the supplied content.
Web References: https://cbe.utk.edu/people/cong-t-trinh/ ; https://cbe.utk.edu/people/seunghyun-ryu/ ; https://www.war.gov/
References: Not provided in the supplied content.
Image Credits: University of Tennessee
Keywords: fungi; Candida; microbial genetics; polyploidy; synthetic biology; mitochondrial function; stress resistance; high-throughput genomics; biosecurity.

Unlike conventional annotation pipelines that apply broadly to multiple taxa but often fail to capture fungal-specific characteristics, this novel workflow caters explicitly to the idiosyncrasies of fungal genomes and transcriptomes. By circumventing the dependency on reference genomes, which are often unavailable or incomplete for many fungi, the system integrates specialized fungal databases and expression pattern analyses to deliver an unprecedented resolution of gene function. This methodological leap empowers scientists to decode fungal RNA-seq data with high accuracy, enabling functional insights that were previously unattainable.

Professor Bono explains that RNA-seq has become far more accessible thanks to advances in next-generation sequencing technologies. However, the general-purpose analytical tools still leave a substantial fraction of fungal genes uncharacterized, posing significant hurdles for downstream analyses such as functional enrichment studies and genome editing strategies. The new workflow effectively bridges this gap by providing a robust platform that enriches functional annotations, thereby facilitating the identification of biologically meaningful genes that traditional methods overlook.

The research team validated their workflow on a large and biologically diverse dataset, encompassing 57 samples of shiitake mushroom (Lentinula edodes) and 20 samples of Asian soybean rust (Phakopsora pachyrhizi), both retrieved from public RNA-seq repositories. These fungi represent contrasting lifestyles—one a commercially important edible fungus and the other a destructive plant pathogen—offering a stringent test for the annotation pipeline’s versatility. Remarkably, the workflow achieved functional annotation coverage exceeding 96% of protein-coding transcripts, vastly outperforming existing generic tools.

A notable attribute of this new approach is its compatibility with different types of sequencing data. The researchers successfully applied it to both traditional short-read RNA-seq and full-length transcript sequencing via Iso-Seq technology. This flexibility ensures the tool’s applicability across varied experimental setups, augmenting its utility for fungal research.

By harnessing fungal-specific databases and sophisticated expression pattern analyses rather than relying solely on reference genomes, the workflow elegantly adapts to the challenges posed by fungal genetic diversity and complexity. This strategy not only improves annotation accuracy but also enhances the biological relevance of functional enrichment analyses. Such analyses are critical for understanding key processes underlying fungal development, pathogenicity, and environmental adaptation.

One of the compelling advantages of this fungal-centric annotation framework lies in its capacity to pinpoint functionally important transcripts in non-model species—organisms for which genomic resources remain limited. This capability holds enormous potential for accelerating biotechnological applications, including CRISPR-based genome editing aimed at improving fungal strains for agricultural, industrial, or medical purposes.

The importance of this functional annotation pipeline extends beyond basic research. By enabling high-resolution insights into fungal gene function, it lays a foundation for discovering novel targets to manipulate fungal biology. This could translate into innovative strategies for crop protection against fungal diseases, enhancement of fungal-based bioproducts, and even advancements in antifungal therapeutics.

With a rapidly growing number of fungal genomes being sequenced worldwide, there is an urgent need for specialized computational tools that can handle the unique complexity of fungal transcriptomes. The workflow devised by Professor Bono’s group addresses this demand, combining technical sophistication with user-driven adaptability.

Future directions for this research include expanding the fungal databases underpinning the annotation process, incorporating machine learning algorithms to further refine functional predictions, and integrating additional omics data to build comprehensive systems biology models of fungal life cycles.

As the global scientific community intensifies efforts to harness fungi for sustainable agriculture, bioenergy, and novel pharmaceuticals, tools like this functional annotation workflow will become indispensable. Their deployment promises to unlock the vast, untapped potential of fungal biodiversity, ushering in a new era of fungal research and applications.

This pioneering study, published in the Journal of Fungi, marks a significant milestone in fungal genomics, providing researchers a powerful new lens to decode the molecular intricacies of one of Earth’s most diverse and ecologically vital kingdoms.

Subject of Research: Functional annotation and analysis of fungal transcriptomes using RNA sequencing data

Article Title: Functional Annotation Workflow for Fungal Transcriptomes

News Publication Date: 6-Feb-2026

Web References:

• Journal of Fungi Article

References:
Morihara, N., & Bono, H. Functional Annotation Workflow for Fungal Transcriptomes. Journal of Fungi, 12(2), 116 (2026).

Image Credits: Nagisa Morihara, Hiroshima University

Keywords

Fungi, RNA sequencing, fungal transcriptomes, functional annotation, bioinformatics, next-generation sequencing, Iso-Seq, gene function, fungal genomics, genome editing, CRISPR, transcriptomics