ICU care through NGS - Based identification of infectious agents: A comparative study.

Background: Sepsis claims 1 in 5 lives annually as per global statistics. Sepsis incidence in recent studies represents at least 35 % of all ICU admissions and has a high mortality rate, especially in the presence of co-existing morbidities. The challenge has been to accurately diagnose the causative organism, considering factors such as possible polymicrobial infections, commensals and environmental contaminants. Legacy techniques such as culture, automated culture systems or even newer species-specific PCR or film array these challenges difficult to overcome. The Bactfast® and Fungifast® assays along with the integrated workflow is based on next generation sequencing and have the ability to demarcate infecting pathogen from contamination and commensal. The unique ability to pinpoint the exact pathogen, considering the commensal and contamination in a variety of samples, with an extremely high sensitivity could lead it to be a tool of diagnostic choice for non-resolving ICU sepsis due to its comprehensive coverage and speed. The aim of this study was to evaluate the use of Bactfast® and Fungifast® as a last mile diagnostic tool in a ICU setting. Method: This study was carried out considering access to four intensive care units (ICU). Legacy testing, mostly done on culture, was conducted at the various integrated microbiology facilities of the hospitals where the ICUs were located, in Chennai, India. NABL accredited laboratory Micro Genomics (India) Pvt Ltd, was established as the central processing facility for next generation sequencing to run the Bactfast® and Fungifast® assay. Co-relation of results for 490 samples was done retrospectively by a multi-disciplinary team of consultants which comprised of microbiologists, and infectious disease physicians. Result: The diagnostic workflow established with the Bactfast® assay provided a sensitivity of 94.1 % and specificity of 86.6 %. Identification of pathogens in Bactfast® was better when compared to the data published in 2017, as reflected by positive co-relation with clinical confirmation. Although the Fungifast® specificity was high, at 99.4 %, only 12 samples were positive on fungal culture out of 490 samples. Therefore, it was concluded a further study for fungi based on multiple technologies with more true positive samples is required to evaluate the test. Conclusion: Bactfast® can identify pathogens in a sample without any bias. Its introduction as diagnostic modality in life threatening ICU sepsis could reduce mortality and morbidity. Although the initial results of Fungifast® are encouraging a further research is required for more information on test sensitivity.

Biocontrol Potential of Cladosporium sphaerospermum Against the Wheat Powdery Mildew Fungus Blumeria graminis f. sp. tritici.

Cladosporium spp. are known to be mycoparasites and inhibit phytopathogenic fungi. However, so far, little information is available on the impact of Cladosporium spp. on powdery mildews. Based on the morphological characteristics and molecular analysis, C. sphaerospermum was identified as a mycoparasite on the wheat powdery mildew fungus Blumeria graminis f. sp. tritici (Bgt), recently named B. graminis s. str. C. sphaerospermum was capable of preventing colony formation and conidial distribution of Bgt. The biomasses of Bgt notably decreased by 1.3, 2.2, 3.6, and 3.8 times at 2, 4, 6, and 8 days postinoculation (dpi), respectively. In addition, biomasses of C. sphaerospermum at 2, 4, 6, and 8 dpi significantly increased to 5.6, 13.9, 18.2, and 67.3 times, respectively. In vitro, C. sphaerospermum exudates significantly impaired appressorial formation of Bgt. Thus, C. sphaerospermum acts as a potential biological control agent by suppressing the formation, distribution, and development of Bgt conidia and is a viable alternative for managing the wheat powdery mildew. These results suggest that C. sphaerospermum is an antagonistic parasite of the wheat powdery mildew fungus and, hence, provide new knowledge about the biological control of phytopathogenic fungi.

Next-generation fungal identification using target enrichment and Nanopore sequencing.

BACKGROUND: Rapid and accurate pathogen identification is required for disease management. Compared to sequencing entire genomes, targeted sequencing may be used to direct sequencing resources to genes of interest for microbe identification and mitigate the low resolution that single-locus molecular identification provides. This work describes a broad-spectrum fungal identification tool developed to focus high-throughput Nanopore sequencing on genes commonly employed for disease diagnostics and phylogenetic inference. RESULTS: Orthologs of targeted genes were extracted from 386 reference genomes of fungal species spanning six phyla to identify homologous regions that were used to design the baits used for enrichment. To reduce the cost of producing probes without diminishing the phylogenetic power, DNA sequences were first clustered, and then consensus sequences within each cluster were identified to produce 26,000 probes that targeted 114 genes. To test the efficacy of our probes, we applied the technique to three species representing Ascomycota and Basidiomycota fungi. The efficiency of enrichment, quantified as mean target coverage over the mean genome-wide coverage, ranged from 200 to 300. Furthermore, enrichment of long reads increased the depth of coverage across the targeted genes and into non-coding flanking sequence. The assemblies generated from enriched samples provided well-resolved phylogenetic trees for taxonomic assignment and molecular identification. CONCLUSIONS: Our work provides data to support the utility of targeted Nanopore sequencing for fungal identification and provides a platform that may be extended for use with other phytopathogens.

Targeted sequencing analysis pipeline for species identification of human pathogenic fungi using long-read nanopore sequencing.

Among molecular-based techniques for fungal identification, Sanger sequencing of the primary universal fungal DNA barcode, the internal transcribed spacer (ITS) region (ITS1, 5.8S, ITS2), is commonly used in clinical routine laboratories due to its simplicity, universality, efficacy, and affordability for fungal species identification. However, Sanger sequencing fails to identify mixed ITS sequences in the case of mixed infections. To overcome this limitation, different high-throughput sequencing technologies have been explored. The nanopore-based technology is now one of the most promising long-read sequencing technologies on the market as it has the potential to sequence the full-length ITS region in a single read. In this study, we established a workflow for species identification using the sequences of the entire ITS region generated by nanopore sequencing of both pure yeast isolates and mocked mixed species reads generated with different scenarios. The species used in this study included Candida albicans (n = 2), Candida tropicalis (n = 1), Nakaseomyces glabratus (formerly Candida glabrata) (n = 1), Trichosporon asahii (n = 2), Pichia kudriavzevii (formerly Candida krusei) (n = 1), and Cryptococcus neoformans (n = 1). Comparing various methods to generate the consensus sequence for fungal species identification, the results from this study indicate that read clustering using a modified version of the NanoCLUST pipeline is more sensitive than Canu or VSEARCH, as it classified species accurately with a lower abundance cluster of reads (3% abundance compared to 10% with VSEARCH). The modified NanoCLUST also reduced the number of classified clusters compared to VSEARCH, making the subsequent BLAST+ analysis faster. Subsampling of the datasets, which reduces the size of the datasets by approximately tenfold, did not significantly affect the identification results in terms of the identified species name, percent identity, query coverage, percentage of reads in the classified cluster, and the number of clusters. The ability of the method to distinguish mixed species within sub-populations of large datasets has the potential to aid computer analysis by reducing the required processing power. The herein presented new sequence analysis pipeline will facilitate better interpretation of fungal sequence data for species identification.

A comparative study for optimization of MALDI-TOF MS identification of filamentous fungi.

PURPOSE: To evaluate and compare the performance of three commercial culture media, two filamentous fungi libraries, and two different protein extraction procedures in MALDI-TOF MS fungal identification. METHODS: A total of 21 quality control samples were cultured on Sabouraud dextrose agar (SDA), ID fungi plate medium (IDFP), and Sabouraud gentamicin chloramphenicol 2 agar (SGC2). For four consecutive days, fungal growths were inoculated on a MALDI target plate both by using a direct transfer technique (DT) and by using a formic acid-ethanol protein extraction procedure (EEP). The MALDI-TOF MS-generated spectra were identified by the MBT Bruker library and the MSI database. RESULTS: Selective culture media (IDFP and SGC2) significantly outperformed the non-selective SDA medium. IDFP was superior to the SGC2 medium for dermatophyte identification. The EEP only demonstrated a benefit over DT in the underperforming SDA medium. The MBT Bruker library outperformed the MSI database in Aspergillus identification while the MSI database outperformed the MBT library in dermatophyte identification. For non-Aspergillus fungi, the libraries performed comparably. CONCLUSION: The results of our study show the necessity of using selective culture media (IDFP and SGC2) for fungal identification with MALDI-TOF MS and demonstrate no significant benefit of the formic acid-ethanol protein extraction technique in these media. Given the relative strengths and weaknesses of the MBT library and the MSI database, it might currently be beneficial to consider these libraries as complementary and employ both databases to achieve optimal fungal identification.

A Loop-Mediated Isothermal Amplification Assay for the Identification of Botrytis fragariae in Strawberry.

Gray mold in strawberry is caused by multiple species of Botrytis, including Botrytis cinerea, B. pseudocinerea, B. fragariae, and B. mali. The species B. cinerea and B. fragariae are widespread in production regions of the eastern United States and Germany, and their distinction is important for disease management strategies. Currently, the only way to differentiate these species in field samples is by PCR, which is time consuming, labor intensive, and costly. In this study, a loop-mediated isothermal amplification (LAMP) technique was developed based on species-specific NEP2 gene nucleotide sequences. The designed primer set specifically amplified B. fragariae DNA and no other Botrytis spp. (B. cinerea, B. mali, and B. pseudocinerea) or plant pathogens. The LAMP assay was able to amplify fragments from DNA extracted from infected fruit using a rapid DNA extraction protocol, confirming its ability to detect low amounts of B. fragaria DNA from field-infected fruit. In addition, a blind test was performed to identify B. fragariae in 51 samples collected from strawberry fields in the eastern United States using the LAMP technique. The B. fragariae samples were identified with a reliability of 93.5% (29 of 32), and none of the B. cinerea, B. pseudocinerea, or B. mali samples included in the test were amplified in 10 min. Our results show that the LAMP technique is a specific and reliable method for the detection of B. fragariae from infected fruit tissue and can help to control this important disease in the field.

Fungal Integrated Histomolecular Diagnosis Using Targeted Next-Generation Sequencing on Formalin-Fixed Paraffin-Embedded Tissues.

Histopathology is the gold standard for fungal infection (FI) diagnosis, but it does not provide a genus and/or species identification. The objective of the present study was to develop targeted next-generation sequencing (NGS) on formalin-fixed tissue samples (FTs) to achieve a fungal integrated histomolecular diagnosis. Nucleic acid extraction was optimized on a first group of 30 FTs with Aspergillus fumigatus or Mucorales infection by macrodissecting the microscopically identified fungal-rich area and comparing Qiagen and Promega extraction methods through DNA amplification by A. fumigatus and Mucorales primers. Targeted NGS was developed on a second group of 74 FTs using three primer pairs (ITS-3/ITS-4, MITS-2A/MITS-2B, and 28S-12-F/28S-13-R) and two databases (UNITE and RefSeq). A prior fungal identification of this group was established on fresh tissues. Targeted NGS and Sanger sequencing results on FTs were compared. To be valid, the molecular identifications had to be compatible with the histopathological analysis. In the first group, the Qiagen method yielded a better extraction efficiency than the Promega method (100% and 86.7% of positive PCRs, respectively). In the second group, targeted NGS allowed fungal identification in 82.4% (61/74) of FTs using all primer pairs, in 73% (54/74) using ITS-3/ITS-4, in 68.9% (51/74) using MITS-2A/MITS-2B, and in 23% (17/74) using 28S-12-F/28S-13-R. The sensitivity varied according to the database used (81% [60/74] using UNITE compared to 50% [37/74] using RefSeq [P = 0.000002]). The sensitivity of targeted NGS (82.4%) was higher than that of Sanger sequencing (45.9%; P < 0.00001). To conclude, fungal integrated histomolecular diagnosis using targeted NGS is suitable on FTs and improves fungal detection and identification.

Performance Evaluation of Bruker Biotyper, ASTA MicroIDSys, and VITEK-MS and Three Extraction Methods for Filamentous Fungal Identification in Clinical Laboratories.

Filamentous fungi are a major cause of life-threatening infections in immunocompromised patients; thus, rapid and accurate identification is critical. Filamentous fungal identification by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been demonstrated with high sensitivity and reproducibility; however, its wider application has been limited in clinical laboratories because of practical challenges such as database availability or lack of standardization. In this study, we compared the performance of the Bruker Biotyper, ASTA MicroIDSys, and Vitek MS for 84 clinical filamentous fungal isolates. Moreover, the sensitivity of three independent sample preparation methods (direct, on plate, in tube) was compared. Bruker Biotyper identified 71.43% (60/84) of isolates correctly (species, genus, or complex/group level). ASTA MicroIDSys and Vitek MS showed accuracy rates of 70.24% (59/84) and 55.95% (47/84), respectively. We found that any difference in sensitivity may be attributed to the database of the systems. In addition, the "in tube" method showed the highest sensitivity among the three methods; however, there was no statistical difference among them. For the broader application of MALDI-TOF MS for filamentous fungal identification, further studies from multiple perspectives are required.

Fourteen Unrecorded Species of Agaricales Underw. (Agaricomycetes, Basidiomycota) from the Republic of Korea.

Agaricales species form pileate-stipitate fruiting bodies and play important roles in maintaining the terrestrial ecosystem as decomposers, symbionts, and pathogens. Approximately 23,000 Agaricales species have been known worldwide, and 937 species have been recorded in the Republic of Korea. However, most of them were identified solely based on morphological characteristics that often led to misidentifications. The specimens collected from 2018 to 2020 in the Republic of Korea were identified based on phylogenetic analysis of the internal transcribed spacer (ITS) sequences. Their identities were confirmed by microscopic characteristics. As a result, 14 Agaricales species were discovered for the first time in the Republic of Korea. They belonged to nine genera: Agaricus, Calocybe, Cortinarius, Hygrocybe, Inocybe, Lepista, Leucoagaricus, Marasmius, and Psathyrella. Detailed macroscopic and microscopic descriptions were provided to help distinguish these species. The morphological and molecular data provided in this study will serve as reliable references for the identification of Agaricales species.

Amplicon Sequencing Reveals Novel Fungal Species Responsible for a Controversial Tea Disease.

Amplicon sequencing is a powerful tool for analyzing the fungal composition inside plants, whereas its application for the identification of etiology for plant diseases remains undetermined. Here, we utilize this strategy to clarify the etiology responsible for tea leaf brown-black spot disease (LBSD), a noticeable disease infecting tea plants etiology that remains controversial. Based on the ITS-based amplicon sequencing analysis, Didymella species were identified as separate from Pestalotiopsis spp. and Cercospora sp., which are concluded as the etiological agents. This was further confirmed by the fungal isolation and their specific pathogenicity on diverse tea varieties. Based on the morphologies and phylogenetic analysis constructed with multi-loci (ITS, LSU, tub2, and rpb2), two novel Didymella species-tentatively named D. theae and D. theifolia as reference to their host plants-were proposed and characterized. Here, we present an integrated approach of ITS-based amplicon sequencing in combination with fungal isolation and fulfillment of Koch's postulates for etiological identification of tea plant disease, revealing new etiology for LBSD. This contributes useful information for further etiological identification of plant disease based on amplicon sequencing, as well as understanding, prevention, and management of this economically important disease.

Identification of the Fungal Community in Otomycosis by Internal Transcribed Spacer Sequencing.

We used internal transcribed spacer (ITS) sequencing to identify the fungal community in otomycosis patients and to evaluate the treatment effects of bifonazole. Ten patients who visited the Department of Otolaryngology of Jiangsu Provincial Hospital on Integration of Chinese and Western Medicine from May 2020 to April 2021 were recruited. Otomycosis patients were treated with bifonazole solution once a day for 14 days. Samples collected from the external auditory canal before and after treatment (Pre-treatment, n = 14 ears; Post-treatment, n = 14 ears) were used for microscopic examination, fungal culture, and ITS sequencing. Samples collected from 10 volunteers (Control, n = 20 ears) were used as controls. The symptoms, including ear itching, aural fullness, otalgia, hearing loss, and physical signs were recorded before treatment as well as on the 7th and 14th days after treatment. Aspergillus was identified as a main pathogenic fungus by microscopic examination, fungal culture, and ITS sequencing. At the genus level, Aspergillus was more abundant in the pre-treatment group than the control and post-treatment groups, and Malassezia was more abundant in the control and post-treatment groups than the pre-treatment group. The fungal species richness and diversity reduced significantly in the pre-treatment group compared with the control and post-treatment groups. The effective rate of bifonazole was 64.29% and 100% on the 7th and 14th days after treatment, respectively. In conclusion, the results obtained from morphologic studies and ITS sequencing indicate that Aspergillus is the main pathogenic fungus of otomycosis patients in Nanjing, Jiangsu Province, China. Malassezia is the dominant resident fungi in healthy individuals. ITS sequencing provides comprehensive information about fungal community in otomycosis and is helpful in evaluating the efficacy of antifungal agents.

Application of near-infrared hyperspectral (NIR) images combined with multivariate image analysis in the differentiation of two mycotoxicogenic Fusarium species associated with maize.

Maize (Zea mays L.) is one of the most versatile crops worldwide with high socioeconomic relevance. However, mycotoxins produced by pathogenic fungi are of constant concern in maize production, as they pose serious risks to human and animal health. Thus, the search for rapid detection and/or identification methods for mycotoxins and mycotoxin-producing fungi for application in food safety remain important. In this work, we implemented use of near infrared hyperspectral images (HSI-NIR) combined with pattern recognition analysis, partial-least-squares discriminant analysis (PLS-DA) of images, to develop a rapid method for identification of Fusarium verticillioides and F. graminearum. Validation of the HSI-NIR method and subsequent analysis was realized using 15 Fusarium spp. isolates. The method was efficient as a rapid, non-invasive, and non-destructive assessment was achieved with 100% accuracy, sensitivity, and specificity for both fungi.

Molecular identification of pathogenic fungi in formalin-fixed and paraffin-embedded tissues.

Introduction. Histopathological examination (HPE) of tissue helps in the diagnosis of invasive fungal infections (IFIs) but cannot identify the fungus to the genus/species levelGap Statement Available protocols for the molecular identification of fungi from formalin-fixed and paraffin-embedded (FFPE) tissues have limitations in terms of extraction and target selection, and standardisation.Aim. Development of sequence-based fungal identification protocol after extraction of DNA from formalin-fixed and paraffin-embedded (FFPE) tissues.Methodology. A total of 63 FFPE tissues from histopathology proven IFI cases were used to standardize the DNA extraction (commercial QIAamp kit-based extraction and conventional phenol-chloroform-isoamyl alcohol [PCI] method) and sequence-based fungal identification protocols. The PCR targeted different ribosomal DNA (rDNA) regions including complete internal transcribed spacer (ITS1-5.8S-ITS2), separate ITS1 and ITS2, 18S and D1/D2 of 28S regions. Semi-nested PCR targeting Mucorales-specific 18S rDNA region was performed in tissues having aseptate hyphae. The optimized ITS1-PCR protocol was evaluated in 119 FFPE tissues containing septate hyphae or yeast, and Mucorales-specific semi-nested PCR in 126 FFPE tissues containing aseptate hyphae.Results. The DNA yield by conventional PCI method was significantly higher (P<0.0001) than commercial kit, though the quality of DNA was similar by both protocols. The test accuracy was best while using ITS1 (61.9 %) as the target compared to 7.9, 29.9 and 22.2 % on targeting ITS1-5.8S-ITS2, ITS2, the D1/D2 region of 28S, respectively. The test accuracies of ITS1-PCR in tissues containing septate hyphae, aseptate hyphae and yeasts were 75.5, 18.7 and 100 %, respectively. The amplification (targeting ITS1 region) improved by increasing the thickness of tissue section (up to 50 µm) used for DNA extraction. ITS1-PCR protocol could amplify fungal DNA in 76 (63.8 %) tissues and Mucorales-specific semi-nested PCR in 86 (68.3 %) tissues.Conclusion. Conventional PCI-based DNA extraction from thick tissue (50 µm) may be used until optimal commercial fungal DNA extraction kit is developed. Subsequent ITS1-PCR for septate fungi and yeast, and semi-nested PCR targeting 18S rDNA for Mucorales are recommended to identify the fungus in FFPE tissues.

Mushroom DNA barcoding project: Sequencing a segment of the 28S rRNA gene.

DNA barcoding is an important molecular methodology for species identification that was developed over the last two decades and it should be covered in the biology bachelor curriculum. Here, we present an example of DNA barcoding by sequencing a segment of the 28S nuclear ribosomal large subunit rRNA gene of wild mushrooms and framing the education in a project form for undergraduate students in biology. Students perform this project in 6-8 weeks, which also includes preparing a poster, writing a report and presenting a paper related to the work in a journal club format. First, fieldwork in the Netherlands was carried out, during which students collected mushrooms under supervision of a professional mycologist with the goal to (a) verify morphologically based identifications with a molecular method and (b) assess phylogenetic relationships of the different species collected. Next, DNA extractions and quantitation were performed, PCR amplification was done, and samples were sent out for Sanger sequencing. Students aligned and analyzed the sequences using BLAST and Geneious and subsequently created a phylogenetic tree. In case of collecting DNA barcodes of an earlier sequenced species, students could upload the data to a repository established for facilitation of future research projects. The method described is very robust, reagents and equipment are readily available, and costs are relatively low. In addition, the results can be compared to published fungal phylogenetic trees.

Evaluation of a PCR-electrospray ionization mass spectrometry platform for detection and identification of fungal pathogens directly from prospectively collected bronchoalveolar lavage specimens.

The incidence of invasive fungal infections is on the rise worldwide due to the growth of the immunocompromised population. We report here the use of a diagnostic assay that utilizes a universal extraction method, broad spectrum PCR amplification and analysis via electrospray ionization mass spectrometry (PCR/ESI-MS) to detect and identify more than 200 pathogenic fungi directly from bronchoalveolar lavage (BAL) specimens in less than 8 hours. In this study, we describe both analytical and clinical performance of the assay, when run with prospectively collected clinical BAL specimens. In 146 patients with probable and possible fungal infections defined by EORTC/MSG (European Organization for Research and Treatment of Cancer/Mycoses Study Group) criteria, the PCR/ESI-MS assay demonstrated a sensitivity of 90.9% (95% CI: 76.4-96.9%) and a specificity of 82.3% (95% CI: 74.2-88.2%). This data demonstrates the utility of a non-culture based broad fungal targets molecular diagnostic tool for rapid and accurate diagnosis of invasive fungal infections in patients at risk of developing fungal diseases.

Identification by MALDI-TOF MS of Sporothrix brasiliensis Isolated from a Subconjunctival Infiltrative Lesion in an Immunocompetent Patient.

Sporotrichosis is a globally distributed subcutaneous fungal infection caused by dimorphic fungi belonging to the Sporothrix species complex that affects the skin of limbs predominantly, but not exclusively. A rare case of ocular sporotrichosis in an immunocompetent Brazilian patient from the countryside of Rio de Janeiro State is reported. A 68-year-old woman presented with a subconjunctival infiltrative lesion in the right eye with pre-auricular lymphadenopathy of onset 4 months ago that evolved to suppurative nodular lesions on the eyelids. Conjunctival secretion was evaluated by histopathological examination and inoculated on Sabouraud Dextrose Agar (SDA). Histopathology showed oval bodies within giant cells and other mononucleated histiocytes. Fungus grown on SDA was identified as Sporothrix sp. by morphological observations. The isolated strain was finally identified by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) associated with an in-house database enriched with reference Sporothrix complex spectra. The strain presented a MALDI spectrum with the ion peaks of the molecular mass profile of S. brasiliensis. The patient was adequately treated with amphotericin B subsequently replaced by itraconazole. Due to scars left by the suppurative process, the patient presented poor final visual acuity. The present work presents an overview of ocular sporotrichosis and discusses the diagnostic difficulty that can lead to visual sequelae in these cases.

Molecular identification of fungi colonizing art objects in Thailand and their growth inhibition by local plant extracts.

In this initial attempt to identify fungi predominantly colonizing art objects, mural paintings and a bas-relief, at 12 archaeological sites in the central and western parts of Thailand, 13 fungal isolates were identified using morphological technique and estimated for their prevalence frequency at each site. Five main genera of fungal community found were Aspergillus, Fusarium, Curvularia, Penicillium, and Neurospora. These fungi were further identified to species level by molecular method utilizing nucleotide sequence homology analysis of the conserved internal transcribed spacer (ITS) region. Environmental factors such as temperature, relative humidity, and the opening or closure of the temples did not have any influence upon the fungal type. From the area-based distribution, Aspergillus was found at all collection sites, while Fusarium was found in Bangkok, and Ratchaburi and Petchaburi provinces in the western part of the country. Curvularia was found mostly in Phra Nakhon Si Ayutthaya and Lopburi provinces, and in one temple in Petchaburi. From the phylogenetic relationship, these prevalent fungi were divided into three closely related groups: Aspergillus and Penicillium, Fusarium and Neurospora, and Curvularia. In addition, growth inhibition of the fungi by local plant extracts of betel leaves, custard apple leaves, mangosteen peel, and guava leaves at 10,000 ppm were investigated. Mangosteen peel extract gave the highest fungal growth inhibition for all the Curvularia tested, being 68.3%, 65.6%, and 60% for C. verruculosa, C. geniculata, and C. lunata, respectively. Guava leave extract also yielded highest growth inhibition of 64.4% for C. verruculosa. Both betel leave and custard apple leave extracts showed the highest inhibition towards A. fumigatus, at 65.1% and 61.8%, respectively. The results obtained here are basic information necessary for future applications in the biological prevention of art objects, and the design of appropriate measures for preventive conservation of Thai cultural heritage.

Proteomic fingerprinting for the fast and accurate identification of species in the Polyporoid and Hymenochaetoid fungi clades.

Basidiomycotan fungi play significant roles in the biogeochemical cycle of carbon as wood decomposers and are used in the food industry for mushroom production and in biotechnology for the production of diverse bioactive compounds and bioremediation. The correct identification of basidiomycotan isolates is crucial for understanding their biology and being able to expand their applications. Currently, the identification of these organisms is performed by analyzing morphological and genomic characteristics, primarily those based on DNA biomarkers. Despite their efficiency, such methods require considerable expertise and are both time-consuming and error-prone (multistep workflow). Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged in the last decade as an accurate, fast, and powerful alternative for the identification of microorganisms. MALDI-TOF MS has been widely applied for the identification and taxonomical characterization of both bacteria and ascomycotan fungi from clinical origins. However, species of Basidiomycota have been poorly evaluated using this method. In the present study, we assessed the performance of MALDI-TOF MS using basidiomycotan isolates of two distinct taxonomical families: Polyporaceae and Hymenochaetaceae. Using a simple protocol, which eliminates the protein extraction step, we obtained high-quality mass spectra data and demonstrated that this method is efficient for the discrimination of isolates at the species level. SIGNIFICANCE: In this study, the MALDI-TOF mass spectrometry was employed to test its accuracy on the recognition of fungal species with high biotechnological and environmental interest. Using a simple and fast protocol, we obtained high-quality mass-spectra (protein fingerprinting) and proved that MALDI-TOF MS is sufficiently robust to the identification at species level and to evaluate the relationships among the isolates of the polyporoid and hymenochaetoid clades (Basidiomycota).

A preliminary DNA barcode selection for the genus Russula (Russulales, Basidiomycota).

Russula is a worldwid genus which has a high species diversity . Aiming accurate and rapid species identification, candidate genes nLSU (28S), ITS, tef-1α, mtSSU, rpb1, and rpb2, were analysed as potential DNA barcodes. This analysis included 433 sequences from 38 well-circumscribed Russula species of eight subgenera. Two vital standards were analysed for success species identification using DNA barcodes, specifically inter- and intra-specific variations together with the success rates of PCR amplification and sequencing. Although the gap between inter- and intra-specific variations was narrow, ITS met the qualification standards for a target DNA barcode. Overlapping inter- and intra-specific pairwise distances were observed in nLSU, tef-1α, mtSSU, and rpb2. The success rates of PCR amplification and sequencing in mtSSU and rpb1 were lower than those of others. Gene combinations were also investigated for resolution of species recognition. ITS-rpb2 was suggested as the likely target DNA barcode for Russula, owing to the two viatal standards above. Since nLSU has the lowest minimum of inter-specific variation, and tef-1α has the highest overlap between intra- and inter-species variations among the candidate genes, they are disqualified from the selection for DNA barcode of Russula.

Antioxidant and Anti-inflammatory Capacity of Ferulic Acid Released from Wheat Bran by Solid-state Fermentation of Aspergillus niger.

OBJECTIVE: A strain of Aspergillus niger (A. niger), capable of releasing bound phenolic acids from wheat bran, was isolated. This strain was identified by gene sequence identification. The antioxidant and anti-inflammatory capacity of ferulic acid released from wheat bran by this A. niger strain (FA-WB) were evaluated. METHODS: Molecular identification techniques based on PCR analysis of specific genomic sequences were conducted; antioxidant ability was examined using oxygen radical absorbance capacity (ORAC), cellular antioxidant activity (CAA) assays, and erythrocyte hemolysis assays. RAW264.7 cells were used as a model to detect anti-inflammatory activity. RESULTS: The filamentous fungal isolate was identified to be A. niger. ORAC and CAA assay showed that FA-WB had better antioxidant activity than that of the ferulic acid standard. The erythrocyte hemolysis assay results suggested that FA-WB could attenuate AAPH-induced oxidative stress through inhibition of reactive oxy gen species (ROS) generation. FA-WB could significantly restore the AAPH-induced increase in intracellular antioxidant enzyme activities to normal levels as well as inhibit the intracellular malondialdehyde formation. TNF-a, IL-6, and NO levels indicated that FA-WB can inhibit the inflammation induced by lipopolysaccharide (LPS). CONCLUSION: Ferulic acid released from wheat bran by a new strain of A. niger had good anti-inflammatory activity and better antioxidant ability than standard ferulic acid.