{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T16:06:25Z","timestamp":1789574785714,"version":"build-2803163510"},"reference-count":58,"publisher":"Microbiology Society","issue":"9","license":[{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of Xiamen Municipality","award":["3502Z202373096"],"award-info":[{"award-number":["3502Z202373096"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,16]]},"abstract":"<jats:p>\n                    <jats:bold>Background.<\/jats:bold>\n                    <jats:italic>Trichophyton indotineae<\/jats:italic>\n                    is an emerging multidrug-resistant dermatophyte that has rapidly spread across continents, posing a serious threat to global public health. Limited genomic data from mainland China hinder a comprehensive understanding of its evolutionary origin, underscoring the urgent need for molecular susceptibility data to guide clinical antifungal therapy. To clarify the evolutionary origin and genome-wide characteristics of three newly identified clinical isolates of\n                    <jats:italic>T. indotineae<\/jats:italic>\n                    from Fujian Province, China, we sequenced these isolates to a mean coverage of 1,300\u00d7 using\u2009the Salus Pro sequencing platform and delineated a comprehensive genomic portrait. Additionally, a linear regression model was constructed between the copy-number variation (CNV) of the\n                    <jats:italic>CYP51B<\/jats:italic>\n                    gene and the minimum inhibitory concentration (MIC) values of four antifungal agents to achieve molecular susceptibility prediction for\n                    <jats:italic>T. indotineae<\/jats:italic>\n                    . Finally, functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were employed to identify virulence-associated genes and pathways. Three\n                    <jats:italic>T. indotineae<\/jats:italic>\n                    isolates recovered in Xiamen, Fujian Province, China, fell into two distinct phylogenetic clades (Group II and Group IV). Notably, genome-wide scanning identified\n                    <jats:italic>CYP51B<\/jats:italic>\n                    CNV and the SQLE p.Phe397Leu mutation as the most prominent genomic determinants associated with azole and terbinafine (TRB) resistance, respectively. Structural modelling provided mechanistic support at the protein level for the functional impact of this mutation, revealing that the SQLE F397 substitution triggers a collapse of the hydrophobic binding pocket, thereby hindering TRB binding. Furthermore, a linear regression model was established to achieve molecular susceptibility prediction, showing a robust correlation between the\n                    <jats:italic>CYP51B<\/jats:italic>\n                    CNV and the MIC values of four azoles (\n                    <jats:italic>P<\/jats:italic>\n                    &lt;0.05). Core-gene analysis against the reference genome identified a shared core genome. KEGG pathway analysis revealed the biological pathways where virulence genes are located, including the MAPK signalling pathway and the\n                    <jats:italic>O<\/jats:italic>\n                    -glycan biosynthesis pathway, which suggests potential pathogenic mechanisms. The study delineates the genomic landscape of\n                    <jats:italic>T. indotineae<\/jats:italic>\n                    isolates from China and demonstrates a stepwise elevation in azole MICs. The linear regression model reveals a significant positive correlation between\n                    <jats:italic>CYP51B<\/jats:italic>\n                    CNV and MIC values for four azoles, thereby advancing the CNV\u2013resistance association from a qualitative observation to a quantitative prediction. These insights enhance the global understanding of the pathogen\u2019s genomic epidemiology and virulence, establishing a critical foundation for genome-guided surveillance and individualized antifungal therapy.\n                  <\/jats:p>","DOI":"10.1099\/mgen.0.001812","type":"journal-article","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T15:15:50Z","timestamp":1789571750000},"source":"Crossref","is-referenced-by-count":0,"title":["Deciphering the genomic landscape of Trichophyton indotineae in China and exploring a correlative model for azole resistance prediction"],"prefix":"10.1099","volume":"12","author":[{"given":"Heping","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine, Xiamen Key Laboratory of Genetic Testing, The First A\ufb03liated Hospital of Xiamen University, Xiamen, Fujian, PR 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