Identification Of Fungal Species Research Articles

Optimizing an integrated biovigilance toolbox to study the spatial distribution and dynamic changes of airborne mycobiota, with a focus on cereal rust fungi in western Canada.

In the face of evolving agricultural practices and climate change, tools towards an integrated biovigilance platform to combat crop diseases, spore sampling, DNA diagnostics and predictive trajectory modelling were optimized. These tools revealed microbial dynamics and were validated by monitoring cereal rust fungal pathogens affecting wheat, oats, barley and rye across four growing seasons (2015-2018) in British Columbia and during the 2018 season in southern Alberta. ITS2 metabarcoding revealed disparity in aeromycobiota diversity and compositional structure across the Canadian Rocky Mountains, suggesting a barrier effect on air flow and pathogen dispersal. A novel bioinformatics classifier and curated cereal rust fungal ITS2 database, corroborated by real-time PCR, enhanced the precision of cereal rust fungal species identification. Random Forest modelling identified crop and land-use diversification as well as atmospheric pressure and moisture as key factors in rust distribution. As a valuable addition to explain observed differences and patterns in rust fungus distribution, trajectory HYSPLIT modelling tracked rust fungal urediniospores' northeastward dispersal from the Pacific Northwest towards southern British Columbia and Alberta, indicating multiple potential origins. Our Canadian case study exemplifies the power of an advanced biovigilance toolbox towards developing an early-warning system for farmers to detect and mitigate impending disease outbreaks.

Identification and Pathogenicity of Fungal Species Associated with Branch Canker and Shoot Blight on Persimmons (Diospyros kaki) in California.

Persimmon is a relatively new crop to California agriculture. Asian persimmons (Diospyros kaki) are the dominant species commercially cultivated in the United States, primarily grown in California, covering approximately 1,153 ha of bearing trees. In the growing seasons of 2020 and 2021, unusual shoot blight and branch cankers were observed in several persimmon orchards in San Joaquin and Solano counties in California. The most prevalent symptoms were well-defined black discoloration in the cambium and streaking in the vascular tissues of green shoots. On woody branches and old pruning wounds, symptoms manifested as black wedge-shaped cankers. Isolations from affected tissues revealed the occurrence of Diaporthe species, including D. chamaeropis, D. foeniculina, and an undescribed Diaporthe sp. as the most frequent isolated pathogens, followed by Eutypella citricola and Phaeoacremonium iranianum. The isolates were identified through multilocus phylogenetic analyses using nucleotide sequences of the rDNA internal transcribed spacer, β-tubulin, and translation elongation factor 1-alpha genes. To fulfill Koch's postulates, mycelium plugs of the various fungal species identified were inserted in 2-year-old branches of mature persimmon trees after making wounds using a corkborer in field conditions. Results showed that Diaporthe spp., E. citricola, and P. iranianum are the main causal agents of branch canker and shoot dieback of persimmon trees in California, with Diaporthe spp. being the most frequently isolated pathogen.

Identification of pathogenic-like fungal species on Akebia trifoliata fruit by integrating transcriptome analysis and specific sequences of putative pathogens

Large-scale cultivation of recently domesticated crops poses great potential disease risk, so rapid and comprehensive identification of pathogenic microbes is of great significance and value for the commercial development of wild plant resources. Akebia trifoliata is widely cultivated in various regions of China, although its domestication remains in the early stages. Here, to avoid large economic losses, we identified the pathogenic-like fungi of widely cultivated A. trifoliata based on causal relationship between pathogens and hosts such as discernible symptoms, fungal diversity and differentially expressed sequences in symptomatic and asymptomatic fruits. First, we observed partly discernible symptoms of four diseases (powdery mildew, anthracnose, fruit shrinkage and brown spot) by observing disease development in the field. Second, comparative analysis of the ITS sequences between the symptomatic and asymptomatic rind bulks suggested that Cercospora, Colletotrichum and Strelitziana could contain pathogenic-like fungi. Finally, interaction transcriptome sequencing afforded strong evidence for 20 pathogenic-like fungi associated with five reported diseases in A. trifoliata and other plants and seven putative unknown diseases, among which the pathogenic-like fungi causing anthracnose, powdery mildew and brown spot were the three top richness fungi in symptomatic fruit rind. This study provides a new strategy for the rapid identification of pathogenic-like fungi in plants and provides some reference for farmers to prevent and control A. trifoliata diseases.

The Sigatoka Disease Complex Caused by Pseudocercospora spp. and Other Fungal Pathogens Associated with Musa spp. in Puerto Rico.

Bananas (Musa spp.) are among the world's most economically important staple food crops. The most important fungal leaf diseases of Musa spp. worldwide are caused by the Sigatoka disease complex, which comprises black Sigatoka (Pseudocercospora fijiensis), yellow Sigatoka (P. musae), and Eumusae leaf spot (P. eumusae). Considering the rapid spreading rate of black Sigatoka in Puerto Rico since its first observation in 2004, a disease survey was conducted from 2018 to 2020 to evaluate the Sigatoka disease complex on the island. Sixty-one leaf samples showing Sigatoka-like symptoms were collected throughout the island for diagnosis by molecular approaches and fungal isolation. Molecular analysis using species-specific primers for P. fijiensis, P. musae, and P. eumusae detected the presence of P. fijiensis in 50 leaf samples. Thirty-eight fungal isolates were collected and identified by morphology and genomic sequencing from various nuclear genes. The analysis identified 24 isolates as P. fijiensis, while the rest of the isolates belonged to the genus Cladosporium spp. and Cladosporium-like spp. (n = 5), Neocordana musae (n = 2), Zasmidium spp. (n = 6), and Z. musigenum (n = 1). The high frequency of P. fijiensis found in leaf samples and collected isolates suggests that black Sigatoka has displaced the yellow Sigatoka (P. musae) in Puerto Rico. Accurate identification of fungal species causing foliar diseases in Musa spp. will allow the establishment of quarantine regulations and specific management approaches in Puerto Rico.

Oral Mycobiota: A Narrative Review.

Numerous studies have proven the important role of the oral microbiota in health and disease. The dysfunctionality of the oral microbiota, known as dysbiosis, is incriminated in dental caries, periodontal disease, oral infectious diseases, oral cancer, and systemic disease. The lesser-known component of the oral microbiota, the mycobiota, is now assiduously investigated. Recent technological developments have helped foster the identification of new fungal species based on genomic research. Next-generation sequencing has expanded our knowledge about the diversity, architecture, and relationships of oral microorganisms within the oral cavity. The mycobiome structure and relationships with the bacteriome have been studied to identify a mycobiotic signature. This review aimed to emphasize the latest knowledge of the oral mycobiome.

Identification and Fungicide Screening of Fungal Species Associated with Walnut Anthracnose in Shaanxi and Liaoning Provinces, China.

Walnut is cultivated around the world for its precious woody nut and edible oil. Recently, walnut infected by Colletotrichum spp. resulted in a great yield and quality loss. In August and September 2014, walnut fruits with anthracnose were sampled from two commercial orchards in Shaanxi and Liaoning provinces, and five representative isolates were used in this study. To identify the pathogen properly, four genes per region (internal transcribed spacer, glyceraldehyde-3-phosphate dehydrogenase, actin, and chitin synthase) were sequenced and used in phylogenetic studies. Based on multilocus phylogenetic analysis, five isolates clustered with Colletotrichum fioriniae, including its ex-type, with 100% bootstrap support. The results of multilocus phylogenetic analyses, morphology, and pathogenicity confirmed that C. fioriniae was one of the walnut anthracnose pathogens in China. All 13 fungicides tested inhibited mycelial growth and spore germination. Flusilazole, fluazinam, prochloraz, and pyraclostrobin showed the strongest suppressive effects on the mycelial growth than the others, the average EC50 values ranged from 0.09 to 0.40 μg/ml, and there was not any significant difference (P < 0.05). Pyraclostrobin, thiram, and azoxystrobin were the most effective fungicides on spore germination (P < 0.05), and the EC50 values ranged from 0.01 to 0.44 μg/ml. Pyraclostrobin, azoxystrobin, fluazinam, flusilazole, mancozeb, thiram, and prochloraz exhibited a good control effect on walnut anthracnose caused by C. fioriniae, and preventive activities were greater than curative activities. Pyraclostrobin at 250 a.i. μg/ml and fluazinam at 500 a.i. μg/ml provided the highest preventive and curative efficacy, and the values ranged from 81.3 to 82.2% and from 72.9 to 73.6%, respectively. As a consequence, mancozeb and thiram could be used at the preinfection stage, and pyraclostrobin, azoxystrobin, flusilazole, fluazinam, and prochloraz could be used at the early stage for effective prevention and control of walnut anthracnose caused by C. fioriniae. The results will provide more significant instructions for controlling the disease effectively in northern China.

Uji Patogenisitas Cendawan Penyebab Penyakit Daun Pada Sengon Di Persemaian Permanen Dramaga Bogor

Sengon (Paraserianthes falcataria (L.) Nielsen) is a fast-growing tree species, and its wood is readily available because it has been widely cultivated in Indonesia. Efforts to propagate sengon plants are carried out through breeding activities in the nursery. The study aimed to identify the fungus that causes leaf disease on sengon plants and calculate the extent and intensity of attacks by the fungus that causes leaf disease on sengon in the Dramaga Bogor Permanent Nursery. This research consisted of pathogenicity test activities, including field observations, Koch's postulates, and the identification of fungal species. The study used a Completely Randomized Factorial Design. The disease symptoms found around 2 months of sengon leaves at the observation site were leaf fall, leaf spot, and leaf blight. The identified fungus that caused leaf fall was Rhizoctonia sp. The fungus that caused leaf spots was Colletotrichum sp., and the fungus that caused leaf blight was Fusarium sp. Fusarium sp. resulted in the highest percentage of attacks, with a disease incidence of 67% and a disease severity of 57%.&#x0D; &#x0D; Keywords: characteristics, identification, Koch`s postulates, morphology

Species diversity of fusarioid genera associated with sweet potato in Brazil, including the description of a new species

AbstractThe sweet potato is of great socioeconomic importance in Brazil and throughout the world. Among the fungal pathogens associated with root diseases of this crop, Fusarium is of particular importance due to the diversity of species, the pathogenic potential in their various hosts and their ability to survive inside plants as endophytes without apparently causing damage. The objective of this work was to identify fusarioid genera from stems and roots of symptomatic and asymptomatic plants. The identification of fungal species was based on multilocus phylogenetic analysis and morphology. A total of 51 isolates, distributed in the Fusarium incarnatum‐equiseti species complex (FIESC), Fusarium fujikuroi species complex (FFSC), Fusarium oxysporum species complex (FOSC)—with a taxonomic novelty—and Neocosmospora were identified. The pathogenicity test on roots showed that 13 of the 14 tested isolates obtained from symptomatic roots and stems and from asymptomatic stems were capable of reproducing the rot symptoms observed in the field. The confirmation of the pathogenicity of isolates from asymptomatic stems corroborates the hypothesis that these fungi can live endophytically in asymptomatic tissue and are capable of causing damage to their hosts in stress situations. This is the first report of Fusarium agrestense, Fusarium annulatum, Fusarium caatingaense, Fusarium elaeidis, Fusarium pernambucanum, Fusarium pseudocircinatum, Neocosmospora falciformis and Neocosmospora suttoniana associated with root and stem rot of sweet potato.

Mycological assessment of different types of cake sold in Port Harcourt, Nigeria

Spoilage of cake during storage is commonly associated with fungi. Therefore, this study is aimed at assessing the quality of different types of cake (chocolate, fruit, vanilla, carrot and red velvet cake) sold in Port Harcourt metropolis. A total of fourteen cakes were sampled from three vendors and stored for twelve days at ambient temperature (29±2oC). Monitoring of total fungal count (TFC) and identification of fungal species isolated from the cake samples were carried out at 24 hour intervals using standard microbiological methods. The result obtained showed that 48.21% of the cake samples met the standard recommended by the International Commission on Microbiological Specifications for Foods (ICMSF) and the Institute of Food Science and Technology (IFST) at the intervals they were monitored during the storage period. Non-viable fungal count were reported in the cake samples within the first 2 days; fruit cake samples till day 9. The TFC of the cake samples steadily increased during the storage period with few exceptions. Carrot cake samples had the highest TFC (7.02 log10CFU/g). Fusarium spp. (32%), Aspergillus niger (27.33%), Penicillium notatum (17.33%), Saccharomyces cerevisiae (10.67%), A. flavus (9.33%), Cladosporium sphaerospermum (2.67%) and Candida albicans (0.67%) were encountered in the cake samples. During the period of storage, fungi was first observed in fruit cake on day 10 whereas, it was earlier reported in other types of cake. Therefore, freshly baked cake produced in commercial quantity and stored at ambient temperature should be consumed within few days to avoid individuals experiencing foodborne illnesses.

Analysis of Whole-Genome facilitates rapid and precise identification of fungal species.

Fungal identification is a cornerstone of fungal research, yet traditional molecular methods struggle with rapid and accurate onsite identification, especially for closely related species. To tackle this challenge, we introduce a universal identification method called Analysis of whole GEnome (AGE). AGE includes two key steps: bioinformatics analysis and experimental practice. Bioinformatics analysis screens candidate target sequences named Targets within the genome of the fungal species and determines specific Targets by comparing them with the genomes of other species. Then, experimental practice using sequencing or non-sequencing technologies would confirm the results of bioinformatics analysis. Accordingly, AGE obtained more than 1,000,000 qualified Targets for each of the 13 fungal species within the phyla Ascomycota and Basidiomycota. Next, the sequencing and genome editing system validated the ultra-specific performance of the specific Targets; especially noteworthy is the first-time demonstration of the identification potential of sequences from unannotated genomic regions. Furthermore, by combining rapid isothermal amplification and phosphorothioate-modified primers with the option of an instrument-free visual fluorescence method, AGE can achieve qualitative species identification within 30 min using a single-tube test. More importantly, AGE holds significant potential for identifying closely related species and differentiating traditional Chinese medicines from their adulterants, especially in the precise detection of contaminants. In summary, AGE opens the door for the development of whole-genome-based fungal species identification while also providing guidance for its application in plant and animal kingdoms.

Microbial Analysis and Antibiogram of Bacteria and Fungi Isolated from Meat Sellers Tables in Dutsin-Ma Metropolis, Katsina State

The goal of the research project was to carry out microbiological analysis and antibiogram of bacteria and fungi associated with meat vendor tables in the city of Dutsin-Ma. This study made use of twenty samples in total. Five distinct locations at Wednesday Market and Darawa were chosen, and two samples from each table were taken using swab sticks. For analysis, the samples were then brought to the Federal University of Dutsin-ma microbiology laboratory department. The agars that were initially employed to isolate the bacteria and fungus were MacConkey, nutrient, mannitol salt, bile esculin, salmonella-shigella, eosin methylene blue, and potato dextrose agars. Bacterial species were identified using gram staining and biochemical tests while lactophenol cotton blue staining was used for the identification of fungal species. Bacterial isolates identified include Escherichia coli, Salmonella species, Klebsiella pneumonia, Bacillus subtilis, Streptococcus species and Staphylococcus aureus while the fungal isolates are Aspergillus flavus, A. niger, A. fumigatus, and Oidiodendron griseum. The antimicrobial susceptibility test findings showed that while some of the bacterial isolates were responsive to certain drugs, others were resistant. The results of this study's investigations therefore demonstrated how heavily polluted meat vendors' tables are with a wide variety of bacteria. This can be explained by the unsanitary procedures used in the meat sale industry as well as other environmental issues. Therefore, it is imperative that the government authorities tasked with these duties make sure that the vendors of these meat products adhere to standard and hygienic procedures. Raising public knowledge of the risks of foodborne illnesses associated with eating raw meats is another important goal of public health awareness campaigns.

Residual neural networks in single instance-driven identification of fungal pathogens

The rise in fungal infections, attributed to various factors including medical interventions and compromised immune systems, necessitates rapid and accurate identification methods. While traditional mycological diagnostics are time-consuming, machine learning offers a promising alternative. Nevertheless, the scarcity of well-curated datasets is a significant obstacle. To address this, a novel approach for identifying fungi in microscopic images using Residual Neural Networks and a subimage retrieval mechanism is proposed, with the final step involving the implementation of majority voting. The new method, applied to the Digital Images of Fungus Species database, surpassed the original patch-based classification using Convolutional Neural Networks, obtaining an overall classification accuracy of 94.7% compared to 82.4% with AlexNet FV SVM. The observed MCC metric exceeds 0.9, while AUC is near to one. This improvement is attributed to the optimization of hyperparameters and top layer architecture, as well as the effectiveness of the Mish activation function in ResNet-based architectures. Noteworthy, the proposed method achieved 100% accurate classification for images from 8 out of 9 classes after majority voting and is high resistant to overfitting, highlighting its potential for rapid and accurate fungal species identification in medical diagnostics and research.

Isolation and Identification of Fungal Species from the Insect Pest Callosobruchus maculatus (F.)

Cowpea seed beetle Callosobruchus maculatus (F.) (Coleoptera: Bruchidae) is one of the most common and economically important pests of stored cereal products worldwide. Furthermore, these beetles can act as vectors for several fungal post-harvest diseases. The current research aimed to isolate the fungi associated with adults of C. maculatus (F.) (Coleoptera: Bruchidae). The present study aimed to isolate and identify fungi associated with adult insects and evaluate their potential as biocontrol agents against the cowpea beetle, C. maculatus. In this study, we collected C. maculatus adults from the Babylon local market and five regions (Hilah, Mahaweel, Al-Mashrou', Al-Haswa and Al-Musayyab) with no history of insecticide exposure. A potato dextrose agar medium was used to isolate the fungi attached to the surfaces of adult beetles. By Morphological and microscopic examination, Molecular identification and Sequencing analysis, Twenty-seven genera of fungi were isolated and identified from adult C. maculatus, including Aspergillus, Penicillium, Candida spp, white mycelium, Curvularia, Cladosporium, Chaetomium, Stachybotrys, Rhizopus, Drechslera, Scopulariopsis, Paecilomyces, Mucor, Geotrichum candidum, Streptomyces, Sarocladium, Beauveria bassiana, Talaromyces varians, Sporothrix flocculasa, Pseudozyma flocculasa, and Isaria fumosorosea. The molecular weights of the PCR products for the fungi isolates ranged from 650-700 bp, and the amplified ITS1-5.8S-ITS4 rDNA region of indigenous entomopathogenic fungal isolates showed a high sequence similarity (99-100%) with B. bassiana and M. anisopliae deposited in the NCBIGenebank. The phylogenetic tree analysis of the ITS region sequences showed a high degree of similarity between the isolates under study, ranging from 96.5-100. However, there were differences in the lines among clades, indicating genetic variation possibly due to mating or mutations in different environments. Our study suggests that the storage pest, C. maculatus, would be essential in spreading fungal contaminants and consequently increasing mycotoxin contamination in stored Cowpea. Keywords: Callosobruchus maculatus, Isolation, Fungi

Isolation and Identification of Fungal Species from the Insect Pest Callosobruchus maculatus (F.)

Cowpea seed beetle Callosobruchus maculatus (F.) (Coleoptera: Bruchidae) is one of the most common and economically important pests of stored cereal products worldwide. Furthermore, these beetles can act as vectors for several fungal post-harvest diseases. The current research aimed to isolate the fungi associated with adults of C. maculatus (F.) (Coleoptera: Bruchidae); the present study aimed to isolate and identify fungi associated with adult insects and evaluate their potential as biocontrol agents against the cowpea beetle, C. maculatus. In this study, we collected C. maculatus adults from the Babylon local market and five regions (Hilah, Mahaweel, Al-Mashrou’, Al-Haswa and Al-Musayyab) with no history of insecticide exposure. A potato dextrose agar medium was used to isolate the fungi attached to the surfaces of adult beetles. By Morphological and microscopic examination, Molecular identification and Sequencing analysis, Twenty-seven genera of fungi were isolated and identified from adult C. maculatus, including Aspergillus, Penicillium, Candida spp, white mycelium, Curvularia, Cladosporium, Chaetomium, Stachybotrys, Rhizopus, Drechslera, Scopulariopsis, Paecilomyces, Mucor, Geotrichum candidum, Streptomyces, Sarocladium, Beauveria bassiana, Talaromyces varians, Sporothrix flocculasa, Pseudozyma flocculasa, and Isaria fumosorosea. The molecular weights of the PCR products for the fungi isolates ranged from 650-700 bp, and the amplified ITS1-5.8S-ITS4 rDNA region of indigenous entomopathogenic fungal isolates showed a high sequence similarity (99-100%) with B. bassiana and M. anisopliae deposited in the NCBIGenebank. The phylogenetic tree analysis of the ITS region sequences showed a high degree of similarity between the isolates under study, ranging from 96.5-100. However, there were differences in the sequences among clades, indicating genetic variation possibly due to mating or mutations in different environments. Our study suggests that the storage pest, C. maculatus, would be essential in spreading fungal contaminants and consequently increasing mycotoxin contamination in stored cowpeas. Keywords: Callosobruchus maculatus, Isolation, Fungi.

Molecular Identification of Fungal Species through Multiplex-qPCR to Determine Candidal Vulvovaginitis and Antifungal Susceptibility.

Vulvovaginal candidiasis (VVC) is a prevalent condition affecting women worldwide. This study aimed to develop a rapid qPCR assay for the accurate identification of VVC etiological agents and reduced azole susceptibility. One hundred and twenty nine vaginal samples from an outpatient clinic (Bilbao, Spain) were analyzed using culture-based methods and a multiplex qPCR targeting fungal species, which identified Candida albicans as the predominant species (94.2%). Antifungal susceptibility tests revealed reduced azole susceptibility in three (3.48%) isolates. Molecular analysis identified several mutations in genes associated with azole resistance as well as novel mutations in TAC1 and MRR1 genes. In conclusion, we developed a rapid multiplex qPCR assay that detects C. albicans in vulvovaginal specimens and reported new mutations in resistance-related genes that could contribute to azole resistance.

Identification of fungal species associated with chilli fruit disease in North-Central Vietnam

Identification of fungal species associated with chilli fruit disease in North-Central Vietnam

Isolation and Identification of fungal species from dried fruits in Sulaimani City, Kurdistan Region-Iraq.

Isolation and Identification of fungal species from dried fruits in Sulaimani City, Kurdistan Region-Iraq.

Developing a microscope image dataset for fungal spore classification in grapevine using deep learning

Grapevine trunk diseases (GTD) result from various fungi invading grapevine wood, leading to a decline in quality and yield. Accurate identification of fungal species is vital for effective disease management. Visual inspection through microscopy is a commonly used method, but distinguishing similar microorganisms within the same genus can be challenging. For precise identification, molecular methods are often required, despite being relatively costly and time-consuming. In this paper, we present a novel method for classifying four species of grapevine wood fungi using deep learning algorithms. We evaluate the performance of four different deep learning architectures, ResNet-50, VGG-16, MobileNet, and InceptionV3, in the classification of grapevine fungal spores from our microscope image dataset. During our tests, the proposed classification methodology achieved an accuracy of up to 97.40 %. Our approach can facilitate the development of more efficient and accurate methods for fungal species identification and has potential applications in viticulture and plant pathology research.

Erysiphe thuemenii causing powdery mildew on Potentilla indica in China

In August 2017, severe powdery mildew was observed on Potentilla indica in Minhe, Qinghai province, China. The identification of fungal species was performed by morphological study using an optical microscope and scanning electron microscope (SEM), supplemented by sequence analysis of the internal transcribed spacer (ITS) region of rDNA. Based on a combination of morphology, ITS sequence, and host, the powdery mildew on Potentilla indica was identified as Erysiphe thuemenii, a species belonging to the E. aquilegiae complex. This is the first report of E. thuemenii causing powdery mildew on a new host species, P. indica, in China and also worldwide.

Fungi involved in rhinosinusitis in arid regions: insights from molecular identification and antifungal susceptibility.

Fungal rhinosinusitis (FRS) is a common problem worldwide, with an increasing burden in arid climate regions. Aspergillus species are the most common causative agents involved. In the present study, we investigated the prevalence, molecular characterization, and antifungal susceptibility of opportunists causing FRS in Sudan on the basis of strains collected over a period of 5 years. β-Tubulin and calmodulin sequencing were used for species identification, and antifungal susceptibility profiles were evaluated by the protocol of the European Committee on Antimicrobial Susceptibility Testing (EUCAST). Predominant species belonged to the Aspergillus flavus complex (n = 244), A. terreus complex (n = 16), A. fumigatus complex (n = 7), and other fungi (n = 17). Molecular identification of 94 strains of Aspergillus revealed the following species: A. flavus (n = 88), A. terreus (n = 1), A. citrinoterreus (n = 2), A. fumigatus (n = 1), A. caespitosus (n = 1), and A. sydowii (n = 1). Several A. flavus and an A. fumigatus isolates showed reduced susceptibility to azoles (minimum inhibitory concentrations above the clinical breakpoints or epidemiological cutoff values). Despite several mutations revealed in cyp51A of these isolates, none could be directly linked to azole resistance. Molecular identification of fungi causing FRS is useful to identify cryptic species and for epidemiologic studies. IMPORTANCE Fungal rhinosinusitis (FRS) is a significant clinical problem in arid regions. This study provides new insights into the prevalence, etiology, and antifungal susceptibility of FRS pathogens in Sudan, where the disease burden is high. Aspergillus species, particularly the A. flavus complex, were identified as the primary FRS pathogens in the region, with some evidence of antifungal resistance. The molecular identification of fungal species causing FRS is useful for detecting antifungal resistance, identifying cryptic species, and characterizing the epidemiology of the disease. The emergence of Azole resistance Aspergilli in Sudan highlights the need for continued surveillance and appropriate use of antifungal agents. These findings have important implications for clinical management, public health policy, and future research on FRS. Publishing this study in Microbiology Spectrum would enable other researchers and clinicians to build on these findings, ultimately improving the diagnosis, treatment, and prevention of FRS.