Comparison of 3 Bacterial Taxonomic Assignment of Pterygium Samples from Mexican Patients by Metagenomic Analysis

Next-generation sequencing has allowed a better understanding of microbiology and microbiomes.While metagenomic analysis has made it possible to identify microorganisms that were not possible with traditional techniques.One of the platforms for the analysis of microbial samples is Galaxy, an open-source platform with that standardized workflow that facilitates metagenomic analysis, allowing the taxonomic assignment of samples with various databases, such as: PlusPF, Greengenes, SILVA, and RDP.One of the platforms to visualize the data obtained through Galaxy is Pavian, which is also open source that allows the visualization of results in a graphical and statistical way.In such a way that at the level of various systems it has been possible to establish the role of microbiota in the predisposition and development of diseases.In this context the respiratory and digestive systems are the ones that have had the most prominence.But there are other microenvironments that have been explored, which could be involved in the development or certain pathologies, for example the ocular surface; where various studies have established and characterized the healthy microbiota, and others point the specific microbiota present in some diseases.Pterygium is one of the diseases, little researched in this context; this being a disease with tumor characteristics, proliferative, fibrovascular and inflammatory; that invades the cornea and can produce alterations such as astigmatism, decreased visual acuity or even blindness.The objective of this study was to determine if there was a significant difference in bacterial identification, using various databases, in pterygium samples form Mexican patients.The database that yielded the highest number of species-level assignments was PlusPF, followed by Greengenes, while SILVA only achieved assignments at the gender level.