Evidence map›Paper›PMID 41877864›Full record

ArticlePeerJ2026

Identification of pathogenic fungi causing ocular infections using full rRNA operon sequencing with Oxford Nanopore Technologies.

Thitima Suwannasaeng, Pratsanee Hiengrach, Waewta Kuwatjanakul, Kittipan Samerpitak, Kiatichai Faksri, Sunchai Payungporn, Pasinee Sangsiwarit, Parama Budmala, Suthida Visedthorn, Pakorn Ruengket and 2 more

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Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Thitima SuwannasaengDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Pratsanee HiengrachDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Waewta KuwatjanakulClinical Microbiology Unit, Clinical Laboratory Section, Srinagarind Hospital Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Kittipan SamerpitakDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Kiatichai FaksriDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Sunchai PayungpornCenter of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pasinee SangsiwaritDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Parama BudmalaDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Suthida VisedthornCenter of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Pakorn RuengketCenter of Excellence in Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kanuengnit SrisakClinical Microbiology Unit, Clinical Laboratory Section, Srinagarind Hospital Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Suwalak ChitcharoenDepartment of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although fungal eye infections are a major cause of visual impairment worldwide, standard clinical laboratory methods remain slow, insensitive, and limited in their taxonomic resolution. Sequencing of the full ribosomal RNA (rRNA) operon provides a comprehensive marker for fungal identification. In this study, twenty fungal isolates associated with ocular infections were obtained from Srinagarind Hospital, Thailand, and characterized using four identification approaches. Initial hospital-based routine identification relied on conventional morphological methods and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). To enhance resolution and to develop a comprehensive analytical pipeline, we further employed full rRNA operon sequencing using Oxford Nanopore Technologies (ONT), analyzed through three bioinformatic pipelines: EPI2ME/Minimap2, NGSpeciesID with BLASTn, and internal transcribed spacer (ITS)-based phylogenetic analysis coupled with phylogenetic analysis. All isolates yielded complete operon sequences, thus ensuring comprehensive coverage of the target regions. NGSpeciesID produced high-confidence consensus sequences and species-level classifications for nearly all isolates (except one

Indexed as

Eye Infections, FungalFungiNanopore SequencingrRNA OperonHumansPhylogenySequence Analysis, DNAThailandBioinfomatics pipelineGene barcodingInternal transcribed Spacer (ITS)Ocular infectionsOxford Nanopore Technologies (ONT)Pathogenic fungiRibosomal RNA

Identifiers

PMID41877864
PMCPMC13007636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.