ABSTRACT Early and accurate diagnosis is essential for the targeted management of fungal keratitis (FK), which is one of the major blinding eye diseases worldwide. To elucidate the

diagnostic information of high-throughput internal transcribed spacer (ITS) sequencing for identifying causative fungi of FK, 38 patients who were highly suspected of having FK were included

in this research. _In vivo_ confocal microscopy, potassium hydroxide smear, and fungal culture were performed to diagnose FK. Culture and ITS sequencing were used to identify causative

fungi. We hypothesized that the dominant genus was the result of pathogen identification by ITS sequencing. Thirty-five patients were eventually diagnosed with FK, with fungal pathogens

and culture were coincident in 10 patients with FK (28.57%). It is concluded that ITS sequencing, to some extent, challenged fungal culture and might be an optional complement in

identifying fungal pathogens in corneas. SIMILAR CONTENT BEING VIEWED BY OTHERS COMPARISON OF CULTURE, CONFOCAL MICROSCOPY AND PCR IN ROUTINE HOSPITAL USE FOR MICROBIAL KERATITIS DIAGNOSIS

Article Open access 05 November 2021 UTILITY OF INVESTIGATION FOR SUSPECTED MICROBIAL KERATITIS: A DIAGNOSTIC ACCURACY STUDY Article 31 January 2022 THE MICROBIOLOGICAL LANDSCAPE AND

EPIDEMIOLOGY OF OCULAR INFECTIONS IN A MULTI-TIER OPHTHALMOLOGY NETWORK IN INDIA: AN ELECTRONIC MEDICAL RECORD DRIVEN ANALYTICS REPORT Article 30 July 2022 INTRODUCTION Fungal keratitis

(FK), usually prevailing in agriculture-based geographic regions with tropical and subtropical climates, affects over a million people each year, three quarters of whom will probably lose

their eyesight1,2. It often causes devastating consequences like severe corneal inflammation, ulcers, scars, and even perforations1,2,3,4,5. One of the reasons is the lack of methods for

proper identification of causative organisms1,2. This kind of infectious disease can be associated with different fungal pathogens, which have varied sensitivities to a series of antifungal

drugs, just as varying bacteria have their specific sensitivities to antibiotics. An early and accurate diagnosis and targeted treatment are vital for the prognosis of FK1,5. _In vivo_

confocal microscopy (IVCM), corneal scraping smear, and fungal culture are applied widely in the diagnosis of FK5, but neither the success rate nor the accuracy of identifying specific

pathogens is immensely satisfying. In recent years, PCR with gene chipping has been deemed to be a promising technology in the identification of pathogenic fungi for its high sensitivity and

specificity5. However, since pathogenic fungi also exist on the normal human ocular surface, this tool sometimes can generate false-positive results4. With the development of DNA sequencing

and molecular genetics, high-throughput sequencing of internal transcribed spacer (ITS) genes has become a main research approach to microbial classification4,6. Compared with traditional

fungal culture, high-throughput ITS sequencing, which is not limited to the environment, time, activity of fungi, and sample size, can produce more information about ocular microbiome.

Moreover, ITS sequencing seems to be more affordable with global availability than gene chipping, multi-locus sequencing or nanopore sequencing. This should not be neglected, because the

estimated incidence rates of FK are comparatively high in developing countries, and sufferers are basically agricultural workers who have a low socioeconomic status1. In this study, we

attempted to elucidate the diagnostic information of high-throughput ITS sequencing for identifying causative fungi of FK. MATERIALS AND METHODS GENERAL INFORMATION Our research was approved

by the Ethics Committee of Shandong Eye Institute (2019–26) and registered on Chinese Clinical Trial Registry (ChiCTR1900023720). All procedures adhered to the tenets of the Declaration of

Helsinki. Informed consent was obtained from all participants. INCLUSION CRITERIA Patients were highly suspected of having FK if they met at least two of the following criteria5,7,8: ① a

history of eye trauma with plants or soil, ② chronic local or systemic use of corticosteroids or antibiotics, ③ corneal ulceration with a dry appearance, ④ corneal ulceration with

pseudopods, ⑤ corneal ulceration with satellite lesions, ⑥ corneal ulceration with elevated lesions, ⑦ presence of endothelial plaques, and ⑧ presence of dense hypopyon. A continuous series

of 38 patients with suspected FK and no history of contact lens wear in the diseased eye were included in this prospective study. DIAGNOSTIC CRITERIA A diagnosis of FK was confirmed as long

as one of the results of IVCM, potassium hydroxide (KOH) smear, and fungal culture was positive as shown in Fig. 17,9,10. SAMPLE COLLECTION The patients lay supine for collection of corneal

scraping samples and conjunctival samples in a disinfected room. After eye lids were wiped using Iodophor, the facial area except the eyes was covered with a sterile surgical drape. A drop

of oxybuprocaine hydrochloride eye drops was dripped to each diseased eye for anesthesia before sampling11. The corneal lesions were scraped using an ophthalmic microsurgical knife (Cat. No.

MR-G137A, Suzhou Mingren Medical Equipment Co., Suzhou, China) under a microscope. Then the scrapings were smeared on a sterile glass slide for KOH smear, streaked on Sabouraud dextrose

agar medium containing 50 μg/ml chloramphenicol (Cat. No. A0697077, Baibo Biotechnology, Jinan, China) for culture (Fig. 2), and stored in a 1.5-ml sterile and DNase/RNase free

microcentrifuge tube (Cat. No. CS015-0041, Excell Biotechnology, Shanghai, China) for ITS sequencing, respectively. The palpebral conjunctiva, bulbar conjunctiva, and fornical conjunctiva

were also rubbed lightly using a sterile swab12,13. Each swab was stored in a 1.5-ml sterile and DNase/RNase free microcentrifuge tube for ITS sequencing. Necrotic tissue samples were

collected from 32 patients who were treated with corneal ulcer debridement in a sterile operating room. Under topical anesthesia with oxybuprocaine hydrochloride eye drops, the necrotic

tissue was removed using a sclerotome blade and subjected to culture after being streaked on Sabouraud dextrose agar medium. _IN VIVO_ CONFOCAL MICROSCOPY The confocal microscope HRT3

(Heidelberg Engineering, Heidelberg, Germany) was used for detecting fungal hyphae and spores with 800 magnifications. Fungal hyphae on IVCM were of bright linear, filamentous, branching or

thread-like morphology, 50 to 250 μm long, in a relatively dark background (Fig. 1b), whereas spores were in an oval shape with a diameter of 10 to 15 μm (Fig. 1c)14,15. If any hyphae or

spores were visible on images, the result of IVCM was reported as positive. SMEAR After an addition of 10% KOH and covering with a microscopic cover glass under laminar flow, samples were

detected by biomicroscopy16. If any hyphae or spores were observed at 400 magnifications, the result of smear was reported as positive7. MICROBIAL CULTURE Corneal scrapings and necrotic

tissue obtained during corneal ulcer debridement were cultured on Sabouraud dextrose agar medium under laminar flow at 25 °C and 37 °C, respectively, for 14 days, with daily observation. The

result generated at 25 °C was regarded as the final result, while the 37 °C condition served for identification of dimorphic fungi17. The colonies were judged by two experienced technicians

according to the growth rate, color, appearance of the margin and the surface of colonies, changes during the period of culture, and difference at 25 °C and 37 °C, as well as morphology of

hyphae and spores under a microscope at 400 magnifications after lactophenol cotton blue staining16,18. If no colony formed within 14 days, the culture was reported to be negative.

HIGH-THROUGHPUT INTERNAL TRANSCRIBED SPACER SEQUENCING Total genomic DNA was extracted from the conjunctival sac swabs (group FD) and the corneal scrapings (group FS) using the DNA

Extraction Kit (Cat. No. D3096-100T, Omega Bio-tek, Norcross, GA, USA) following the manufacturer’s instructions. Then all DNA samples were sent to Qingdao OE Biotech (Qingdao, China;

https://www.qdoebiotech.com) for ITS sequencing. The kits and instruments used are shown in Supplementary Tables 1 and 2. DNA AMPLIFICATION After the quality and quantity of DNA were checked

by NanoDrop and agarose gel, all samples were loaded into 0.6% agarose gel and subjected to 120 V constant voltage electrophoresis for 15 minutes. Totally 50 ng of DNA without degradation

or with slight degradation were used for PCR amplification after being diluted to 1 ng/μl as template, with primers and Takara Ex Taq (Takara), following instructions. ITS1F primer

(5′-CTTGGTCATTTAGAGGAAGTAA-3′) and ITS2 primer (5′-GCTGCGTTCTTCATCGATGC-3′) were used for amplification of fungal ITS I variable regions. LIBRARY CONSTRUCTION Amplicon quality was

demonstrated using gel electrophoresis and refined with AMPure XP beads (Agencourt), before the amplicon was enlarged for another round of PCR using ITS1F and ITS2 primers and purification

with AMPure XP beads. After being quantified by using Qubit dsDNA assay kit (Cat. No. Q32854, Invitrogen, Carlsbad, CA, USA), the amplicon with a single band of 457 bp and a concentration

higher than 20 ng/ul was used for sequencing. Equal amounts of purified amplicon were pooled for subsequent sequencing (Illumina miseq pe300). BIOINFORMATIC ANALYSIS Raw sequencing data were

saved as FASTQ format. Paired-end reads were preprocessed using Trimmomatic software19 to seek and cut out ambiguous bases (N). Trimmomatic software also cut off low quality sequences with

an average quality score below 20 through the sliding window trimming approach, after which paired-end reads were assembled using FLASH software20. Parameters of the assembly were set as 10 

bp of minimal overlapping, 20% of maximum mismatch rate, and 200 bp of maximum overlapping. Moreover, sequences were denoised by quitting reads with ambiguous, homologous sequences or those

below 200 bp. Reads with 75% of bases beyond Q20 were reserved, while those having chimera were removed. The two processes were performed using QIIME software (version 1.8.0)21. Clean reads

were further subjected to primer sequences, wiping off and clustering to form operational taxonomic units (OTUs) with 97% similarity cut out using Vsearch software. All representative reads

of every OTU were chosen using QIIME package. Thereafter each representative read was annotated and blasted using the Unite database (ITSs rDNA)22,23 and the NCBI nucleotide database24. 97%

similarity was employed to distinguish species. IDENTIFICATION OF THE CAUSATIVE FUNGI IN FUNGAL KERATITIS Each bar graph in Fig. 3 indicates relative quantities of different fungi in a

sample. We hypothesized that the dominant fungal genus was the result of ITS sequencing for pathogen identification. RESULTS DIAGNOSIS OF FK Thirty-five patients were eventually diagnosed

with FK, with fungal pathogens found by IVCM in 27 patients (77.14%), by KOH smear in 27 patients (77.14%), and by culture in 25 patients (71.43%) (Fig. 4 and Table 1). It took an average of

6 days (3 to 13 days) to obtain the culture results. Thirty-four of the 35 patients (97.14%) were diagnosed immediately via the rapid testing approaches of IVCM or KOH smear. IDENTIFICATION

OF PATHOGENIC FUNGI Among the 68 cultured samples from patients diagnosed with FK, 44 (64.71%) showed positive results. No conflicting genus, for each individual patient, was found in

corneal scrapings and necrotic tissue (Table 1). Furthermore, no conflicting result existed in the 25 °C and 37 °C culture conditions. Both conjunctival sac swabs (group FD) and corneal

scrapings (group FS) from each of the 35 patients were subjected for ITS sequencing, which required 7 days to obtain raw data. The quality test showed the number of samples, 22 in group FD

(qualification rate 62.86% for FK patients) and 20 in group FS (qualification rate 57.14% for FK patients), was adequate for further analysis. The samples from 9 patients were qualified in

neither group, while those from 16 patients were qualified in both groups, and the same dominant genus was detected from the two samples of 15 patients. Alpha diversity (P = 0.74, Shannon

index, Wilcoxon rank sum test) and beta diversity (P = 0.938999, ANOSIM, Bray Curtis) showed the two groups could be substituted by each other to some extent. As a consequence, the amount of

the qualified cases in the two groups both reached 26 (74.29% of FK patients). One patient (No. 19) demonstrated different results in the two samples for ITS sequence analysis. _Alternaria_

and _Verticillium dahliae_ were detected in the conjunctival sac and the cornea, respectively, while the culture result presented with _Alternaria_. To avoid exaggerating the consistency

between ITS sequencing and culture and considering that the corneal scraping may be more representative for the diseased area, the patient was subsequently evaluated according to the result

of the corneal sample. In the 26 ITS sequencing reports, there were 8 cases of _Alternaria_, 6 cases of _Fusarium_, 3 cases of _Aspergillus_, 4 cases of _Nectriaceae_, 2 cases of

_Hypocreales_, 1 case of _Colletotrichum truncatum_, 1 case of _Verticillium dahlia_, and 1 case of _Cutaneotrichosporon cutaneum_. On the other hand, in the final 25 cases of positive

fungal culture, there were 12 cases of _Alternaria_, 9 cases of _Fusarium_, 2 cases of _Aspergillus_, 1 case of _Saccharomyces_, and 1 case of _Acremonium_. The test results of culture and

ITS sequencing were consistent in only 10 patients (28.57% of patients with FK), under the hypothesis that the dominant genus was the result of ITS sequence analysis, with _Alternaria_,

_Fusarium_, and _Aspergillus_ being the pathogenic fungal genera (Fig. 5). Two of the 26 ITS sequencing reports disclosed results at the order level, 4 at the family level, 11 at the genus

level, and 9 at the species level. However, all fungal culture results were at the genus level. The ITS sequencing results in 20 patients (57.14% of patients with FK) met or exceeded the

genus level. DISCUSSION DIAGNOSTIC APPROACHES TO FK FK can be determined based on any positive result of IVCM, KOH smear or culture. However, a longer time is needed for culture compared

with the former two approaches. In the current study, 34 of 38 patients (89.47%) who were suspected of having FK were diagnosed rapidly using IVCM or KOH smear. Although an early correct

diagnosis can be achieved, further identification of fungal strains is important for targeted treatment. Since fungal community was reported to abound on healthy ocular surface4, we designed

this research to evaluate the role of high-throughput ITS sequencing in identifying fungal pathogens of FK. CULTURE FOR IDENTIFICATION OF CAUSATIVE FUNGI A successful antifungal

chemotherapy for FK depends much on accurate identification of the genus of causative fungi3,25. Culture has been considered as a gold standard for the diagnosis of FK, and physicians often

refer to the antifungal susceptibility of culture when selecting antifungal medication. Different fungal genera sometimes present similar appearance, while the same fungal genus may show a

series of varying morphological features. Identification of a specific fungal genus is mainly based on its morphology, but judgment might be false when colonies and spores show atypical

morphology26. Misjudgment associated with the observer’s experience may also occur. Furthermore, fungi usually grow slowly16. Some fungi cannot be cultured and separated yet because of

lacking knowledge about suitable culture conditions27. Certain previous empirical treatment can reduce fungal activity and affect culture results28. These factors make fungal culture

complicated. HIGH-THROUGHPUT ITS SEQUENCING FOR IDENTIFICATION OF CAUSATIVE FUNGI High-throughput ITS sequencing possesses many advantages over culture for identification of fungal pathogens

in FK. Not influenced by the activity of fungi, ITS sequence analysis requires only a small amount of DNA to be sequenced using an automated sequencer. With ITS sequence used as a universal

DNA barcode marker for fungi27,29, this accurate molecular diagnostic technique includes DNA sequencing of ITS sequences and comparing the sequenced ITS sequences with known fungal ITS

sequences to obtain fungal genus information. Moreover, ITS sequencing has high sensitivity and specificity to confirm fungal infection30. Relative content of almost all genera in a sample

could be measured as long as the sample is qualified. The ITS sequencing reports convey not only a diagnosis but also detailed information of fungi on corneal surface. Thus, ITS sequencing

may further guide scientific research with big data and bioinformatics, help to enrich the public sequencing database, and provide a new tool for discovering novel pathogenic fungi in

cornea30. However, this test method has limitations. First, ITS sequencing depends on the integrity of the database, but the public sequence database remains a few flaws31. For example, the

current morphology-based taxonomic schemes neglect the phylogenetic analysis, which is more compatible with ITS sequencing31,32. Besides, the public sequence database includes some errors to

be rectified33. Second, when the detected sequence does not correspond to any specific known genus, the result can only be delivered at the class, order or family level. Consequently, its

significance for clinical treatment may be reduced. Third, every ITS primer has its own success rate for a range of fungi, so an appropriate solution is to use more than one primer29.

Although we used combined primers of ITS1F and ITS2 as most other researchers did, the test results might be somewhat less than ideal. Fourth, ITS sequencing can only identify fungal

pathogens of FK rather than diagnose FK. Fifth, the positive rate of ITS sequencing is not significantly improved compared with culture, partly due to the scarce quantity of collected fungi,

choice of reagents and kits, and PCR bias34. DIVERGENCE BETWEEN CULTURE AND ITS SEQUENCING Our study showed that only 28.57% of patients with FK had the same results of culture and ITS

sequencing. It is a harsh phenomenon that ITS sequence analysis challenges culture, an acknowledged standard for fungal identification. The results of culture showed more _Fusarium_ and

_Alternaria_, when the results of ITS sequencing differed from fungal culture. It may be partly because _Fusarium_ and _Alternaria_ are more easily cultured on Sabouraud dextrose agar. If a

variety of media are used for catering for causative fungi, the consistency of the positive rate between the two methods may tend to change. It is also noteworthy that _Hypocreales_ includes

_Nectriaceae_, while _Nectriaceae_ includes _Fusarium_. Therefore, with the improvement of the public sequencing database, the amount of _Fusarium_ in ITS sequencing reports is expected to

increase. With the development of high-throughput sequencing, we can imagine the possibility of analyzing a gigabit of data such as ITS sequences into a simpler conclusion in the future35.

At that time, ITS sequencing may guide clinical treatment accurately36. But it does not mean we do not need to culture microorganisms anymore. Culture will always be essential35,37.

Cultivation-dependent and cultivation-independent approaches not only complement each other, but in fact need each other37. On one hand, the current databases are imperfect, which requires

information of new fungal species as detected by culture37,38. On the other hand, multi-omic methods including ITS sequencing can be used to predict suitable conditions for culture of

hard-to-culture species on the basis of its metabolic network37,39. SPECTRUM OF FUNGAL KERATITIS In this study, the most frequently encountered causative fungal genus was _Alternaria_,

followed by _Fusarium_ and _Aspergillus_, according to both culture and ITS sequencing. This seems to be different from the global spectrum, in which _Fusarium_, _Aspergillus_, and _Candida_

are the most common fungal pathogens1. The spectrum of FK varies in different countries. In India, _Fusarium_ is the predominant causative fungal genus, followed by _Aspergillus_,

_Cladosporium_, _Botryodiploidia_, and _Curvularia_8. In Brazil, _Fusarium_, _Aspergillus_, _Candida_, _Penicillium_, and _Cladosporium_ are the major pathogenic fungi40. The spectrum of FK

also differs in varied areas of a country. The most common causative fungal genus in north China is _Fusarium_, followed by _Aspergillus_, _Alternaria_, _Penicillium_, and _Candida_41. In

central China, the first three genera are same with north China, but _Mycelia sterilia_ and _Penicillium_ rank fourth and fifth, respectively42. Our series of patients are not sufficient for

demonstrating the epidemiologic aspects of FK, and the spectrum of fungal genus in this study may be related to the kind of crops acclimatized to the season during the research1. The

epidemiology of FK needs to be further investigated using cultivation-independent approaches, for the existence of discordance between culture and high-throughput ITS sequencing results.

CONCLUSION High-throughput ITS sequencing challenged fungal culture in identifying the genus and species of pathogenic fungi of FK and could generate more information about fungal microbiota

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ACKNOWLEDGEMENTS All authors thank Ping Lin for her linguistic and editorial assistance. AUTHOR INFORMATION Author notes * These authors contributed equally: Zhichao Ren and Qing Liu.

AUTHORS AND AFFILIATIONS * School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, China Zhichao Ren * State Key Laboratory Cultivation Base,

Shandong Provincial Key Laboratory of Ophthalmology, Shandong Eye Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Qingdao, China Zhichao Ren, Qing

Liu, Yuqian Wang, Yanling Dong & Yusen Huang Authors * Zhichao Ren View author publications You can also search for this author inPubMed Google Scholar * Qing Liu View author

publications You can also search for this author inPubMed Google Scholar * Yuqian Wang View author publications You can also search for this author inPubMed Google Scholar * Yanling Dong

View author publications You can also search for this author inPubMed Google Scholar * Yusen Huang View author publications You can also search for this author inPubMed Google Scholar

CONTRIBUTIONS Zhichao Ren: Analyzed data, did literature search, and wrote the manuscript. Qing Liu: Collected corneal scraping samples, conjunctival samples, and necrotic tissue during

corneal ulcer debridement. Yuqian Wang: Extracted DNA and transferred the DNA samples to OE Biotech. Yanling Dong: Responsible for patients’ treatment plan and performed corneal ulcer

debridement. Yusen Huang: Designed this research, analyzed data, and revised the manuscript. CORRESPONDING AUTHOR Correspondence to Yusen Huang. ETHICS DECLARATIONS COMPETING INTERESTS All

co-authors declare that no financial or non-financial competing interests or conflict exits in the submission of this manuscript. This research was supported by the Key Science and

Technology Innovation Project of Shandong Province (2018CXGC1205), the Taishan Scholar Program (ts20190983), and the Innovation Project of Shandong Academy of Medical Sciences. ADDITIONAL

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ARTICLE Ren, Z., Liu, Q., Wang, Y. _et al._ Diagnostic information Profiling and Evaluation of Causative Fungi of Fungal Keratitis Using High-throughput Internal Transcribed Spacer

Sequencing. _Sci Rep_ 10, 1640 (2020). https://doi.org/10.1038/s41598-020-58245-7 Download citation * Received: 10 September 2019 * Accepted: 06 January 2020 * Published: 03 February 2020 *

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