Introduction
Multiple studies have revealed the presence of viable microorganisms in the urinary tract designated as the urobiome. Dysbiosis of the urobiome has been associated with a number of urologic diseases. The purpose of the present study was to characterize and compare the trans-domain microbiome in diverse genitourinary tract tissue.
Materials
The sequence read archive (SRA) was searched for human transcriptomic data derived from human genitourinary tissue. An automated workflow was developed and run for studies that fit the above criteria, as follows: downloading raw sequencing data, filtering, and mapping to the GRCh38 human genome. Then nonhosts reads were mapped to a database that contains >45,000 full-length Prokaryotic, Protozoan, Viral, and Fungal genomes downloaded from the NCBI. The resulting microbial taxonomic profiles were used to quantify differences and similarities in the microbial profiles of different regions of the genitourinary tract. Additionally, when applicable, patient-specific analyses were conducted to determine the factors that shape the urobiome and possible disease-specific dysbioses.
Results
,Ten studies fit our criteria and included samples from urine, semen, prostate tumor, upper tract urothelium, testicle, kidney, bladder tumor, and laser micro dissected tubuli and glomeruli. Five studies used shotgun metagenomics, with four RNA-seq, and one exome-seq. We were able to identify taxa from all domains in all tissue types, with Prokaryotes dominating the microbiome in all tissues (Figure 1). A trans-domain species richness analyses show variable microbial loads between tissue types, which was in part driven by sequencing platform and depth.

Conclusion
Our findings provide evidence of the presence of a diverse microbiome in tissues that span the length of the genitourinary tract. These results provide a baseline microbial profile of the urobiome that can be used for future targeted studies on health and disease of the genitourinary organs.
Funding
Lerner Research Institute
Lead Authors
Sromona Mukherjee,
Cleveland Clinic
Mangesh Suryavanshi,
Cleveland Clinic
Ava Adler,
Cleveland Clinic
Thien Dang,
Cleveland Clinic
Aaron Miller,
Cleveland Clinic
Transcriptomic workflow for microbiome profiling of the genitourinary tract
Category
Abstract
Description
BS01: 13Session Name:Basic Science Poster Session 1