https://doi.org/10.4081/jbr.2026.15439
187 | Beyond marker genes: mitochondrial genomics as a high-resolution tool for Sporothrix schenckii molecular epidemiology
Laura Taca1, Andrea Bonomo2, Gabriele Rigano3|4, Letterio Giuffrè1, Orazio Romeo1, Domenico Giosa1 | 1Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Italy; 2Department of Mathematics, University of Pavia, Italy; 3Department of Biology, University of Rome “Tor Vergata”, Rome, Italy; 4PhD programme in Space Science and Technology, Department of Physics, University of Trento, Italy.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Published: 31 March 2026
Sporotrichosis is a (sub)cutaneous mycosis caused by a select group of pathogenic fungi within the genus Sporothrix. While over 60 species have been described to date, S. brasiliensis, S. schenckii, and S. globosa are the primary species associated with mammalian infections. Among these, S. schenckii exhibits the widest geographic distribution and remains the most frequently reported etiological agent globally. The rising incidence of the disease, coupled with significant genetic heterogeneity and limited genomic resources, underscores the urgent need for robust genotypic tools to enhance public health surveillance. While conserved nuclear marker genes (e.g., chitin synthase, β-tubulin, calmodulin) reliably resolve species boundaries, they often fail to capture fine-scale epidemiological or geographic structure. In contrast, fungal mitochondrial genomes are highly dynamic, exhibiting extensive structural variation driven by recombination and intron mobility, thereby providing a rich source of intraspecific genetic diversity and enhanced resolution for population-level analyses. In this study, we analyzed mitochondrial genetic polymorphism in 57 S. schenckii strains from diverse geographic regions, including Italy, Australia, South America, and North America, using raw sequencing data available from the Sequence Read Archive (SRA) database. Mitogenomes were assembled and annotated using NOVOPlasty and MFannot, while synteny and phylogenetic analyses were performed graphically using GeneView, JolyTree, and iTOL. Analysis of mitochondrial genome synteny showed that many strains cluster according to geographic location, although considerable mitochondrial diversity remains, as multiple mitotypes can be present in the same region of origin. This diversity is largely attributable to strain-specific variation in gene content, most notably the presence or absence of novel open reading frames (ORFs). Interestingly, a homing endonuclease of the LAGLIDADG family was also detected in four strains (three from Australia and one from Italy), challenging previous reports that considered this endonuclease confined to S. brasiliensis. Our results highlight the potential of mitochondrial genome analysis to reveal significant intraspecific diversity. Future studies involving larger collections of isolates, along with functional characterization of unique ORFs and mobile elements, will offer deeper insights into the evolutionary dynamics of S. schenckii and related fungal pathogens.
Downloads
How to Cite

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.