Frontiers in Microbiology (Sep 2020)
Genomic Survey of E. coli From the Bladders of Women With and Without Lower Urinary Tract Symptoms
- Andrea Garretto,
- Taylor Miller-Ensminger,
- Adriana Ene,
- Zubia Merchant,
- Aashaka Shah,
- Athina Gerodias,
- Anthony Biancofiori,
- Stacey Canchola,
- Stephanie Canchola,
- Emanuel Castillo,
- Tasnim Chowdhury,
- Nikita Gandhi,
- Sarah Hamilton,
- Kyla Hatton,
- Syed Hyder,
- Koty Krull,
- Demetrios Lagios,
- Thinh Lam,
- Kennedy Mitchell,
- Christine Mortensen,
- Amber Murphy,
- Joseph Richburg,
- Meghan Rokas,
- Suzanne Ryclik,
- Pauline Sulit,
- Thomas Szwajnos,
- Manuel Widuch,
- Jessica Willis,
- Mary Woloszyn,
- Bridget Brassil,
- Genevieve Johnson,
- Rita Mormando,
- Laura Maskeri,
- Mary Batrich,
- Nicole Stark,
- Jason W. Shapiro,
- Cesar Montelongo Hernandez,
- Swarnali Banerjee,
- Alan J. Wolfe,
- Catherine Putonti,
- Catherine Putonti,
- Catherine Putonti,
- Catherine Putonti
Affiliations
- Andrea Garretto
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Taylor Miller-Ensminger
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Adriana Ene
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Zubia Merchant
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Aashaka Shah
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Athina Gerodias
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Anthony Biancofiori
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Stacey Canchola
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Stephanie Canchola
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Emanuel Castillo
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Tasnim Chowdhury
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Nikita Gandhi
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Sarah Hamilton
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Kyla Hatton
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Syed Hyder
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Koty Krull
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Demetrios Lagios
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Thinh Lam
- Neuroscience Program, Loyola University Chicago, Chicago, IL, United States
- Kennedy Mitchell
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Christine Mortensen
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Amber Murphy
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Joseph Richburg
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Meghan Rokas
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Suzanne Ryclik
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Pauline Sulit
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Thomas Szwajnos
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Manuel Widuch
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Jessica Willis
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Mary Woloszyn
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Bridget Brassil
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Genevieve Johnson
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Rita Mormando
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Laura Maskeri
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Mary Batrich
- Niehoff School of Nursing, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States
- Nicole Stark
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Jason W. Shapiro
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Cesar Montelongo Hernandez
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States
- Swarnali Banerjee
- Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, United States
- Alan J. Wolfe
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States
- Catherine Putonti
- Bioinformatics Program, Loyola University Chicago, Chicago, IL, United States
- Catherine Putonti
- Department of Biology, Loyola University Chicago, Chicago, IL, United States
- Catherine Putonti
- Department of Microbiology and Immunology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL, United States
- Catherine Putonti
- Department of Computer Science, Loyola University Chicago, Chicago, IL, United States
- DOI
- https://doi.org/10.3389/fmicb.2020.02094
- Journal volume & issue
-
Vol. 11
Abstract
Urinary tract infections (UTIs) are one of the most common human bacterial infections. While UTIs are commonly associated with colonization by Escherichia coli, members of this species also have been found within the bladder of individuals with no lower urinary tract symptoms (no LUTS), also known as asymptomatic bacteriuria. Prior studies have found that both uropathogenic E. coli (UPEC) strains and E. coli isolates that are not associated with UTIs encode for virulence factors. Thus, the reason(s) why E. coli sometimes causes UTI-like symptoms remain(s) elusive. In this study, the genomes of 66 E. coli isolates from adult female bladders were sequenced. These isolates were collected from four cohorts, including women: (1) without lower urinary tract symptoms, (2) overactive bladder symptoms, (3) urgency urinary incontinence, and (4) a clinical diagnosis of UTI. Comparative genomic analyses were conducted, including core and accessory genome analyses, virulence and motility gene analyses, and antibiotic resistance prediction and testing. We found that the genomic content of these 66 E. coli isolates does not correspond with the participant’s symptom status. We thus looked beyond the E. coli genomes to the composition of the entire urobiome and found that the presence of E. coli alone was not sufficient to distinguish between the urobiomes of individuals with UTI and those with no LUTS. Because E. coli presence, abundance, and genomic content appear to be weak predictors of UTI status, we hypothesize that UTI symptoms associated with detection of E. coli are more likely the result of urobiome composition.
Keywords