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BRIEF RESEARCH REPORT article

Front. Cell. Infect. Microbiol., 08 February 2019 | https://doi.org/10.3389/fcimb.2019.00014

Whole-Genome Sequencing of Klebsiella pneumoniae Isolates to Track Strain Progression in a Single Patient With Recurrent Urinary Tract Infection

Kristine M. Wylie1,2, Todd N. Wylie2,3, Patrick J. Minx2 and David A. Rosen1,4*
  • 1Division of Pediatric Infectious Diseases, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
  • 2McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, United States
  • 3Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States
  • 4Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, United States

Klebsiella pneumoniae is an important uropathogen that increasingly harbors broad-spectrum antibiotic resistance determinants. Evidence suggests that some same-strain recurrences in women with frequent urinary tract infections (UTIs) may emanate from a persistent intravesicular reservoir. Our objective was to analyze K. pneumoniae isolates collected over weeks from multiple body sites of a single patient with recurrent UTI in order to track ordered strain progression across body sites, as has been employed across patients in outbreak settings. Whole-genome sequencing of 26 K. pneumoniae isolates was performed utilizing the Illumina platform. PacBio sequencing was used to create a refined reference genome of the original urinary isolate (TOP52). Sequence variation was evaluated by comparing the 26 isolate sequences to the reference genome sequence. Whole-genome sequencing of the K. pneumoniae isolates from six different body sites of this patient with recurrent UTI demonstrated 100% chromosomal sequence identity of the isolates, with only a small P2 plasmid deletion in a minority of isolates. No single nucleotide variants were detected. The complete absence of single-nucleotide variants from 26 K. pneumoniae isolates from multiple body sites collected over weeks from a patient with recurrent UTI suggests that, unlike in an outbreak situation with strains collected from numerous patients, other methods are necessary to discern strain progression within a single host over a relatively short time frame.

Introduction

Numerous investigations have utilized whole-genome sequencing (WGS) to track the transmission of bacterial pathogens within healthcare facilities (Koser et al., 2012; Snitkin et al., 2012; Leekitcharoenphon et al., 2014). One notable example involved the 2011–2012 outbreak of a carbapenemase-producing Klebsiella pneumoniae strain at the National Institutes of Health Clinical Center (Snitkin et al., 2012). While epidemiologic data alone could not deduce the mode, direction, or routes of organism transmission among patients, WGS followed by single nucleotide variant (SNV) analysis was used to map the organism's movement from different anatomic sites of the index patient to the 18 patients ultimately afflicted.

In this study, we aimed to ascertain the migration of strains across body niches in a single patient with recurrent K. pneumoniae urinary tract infections (UTIs). While Escherichia coli cause the majority of UTIs, K. pneumoniae is the second leading etiologic agent in most populations (Flores-Mireles et al., 2015). Interestingly, more than half of recurrent E. coli UTIs are caused by the same strain as the original UTI (Hooton, 2001). Data suggest the original UTI strain is responsible for the majority of K. pneumoniae recurrences as well (Kil et al., 1997). Over the last decade, data from both humans and murine models have suggested that an intracellular reservoir of bacteria within the bladder may seed some recurrent UTIs (Mysorekar and Hultgren, 2006; Rosen et al., 2007, 2008; Liu et al., 2016). This contrasts with the traditional view of uropathogen ascension from a fecal reservoir to the periurethral niche and ultimately to the bladder (Hooton, 2001). In an attempt to distinguish these alternative routes of infection, we sequenced 26 K. pneumoniae isolates collected prospectively from the urine, periurethral, vaginal, fourchette, perianal, and rectal sites of a single patient.

Materials and Methods

Bacterial Isolates

Summaries of the patient's clinical course and the isolates sequenced are shown in Figure 1. All bacterial isolates were obtained from one 26-year-old female with a history of recurrent UTI, as part of a larger prospective study of women with recurrent UTI at the University of Washington (Czaja et al., 2009). This study was approved by the Human Subjects Review Committee at the University of Washington, and the subject gave written informed consent in accordance with the Declaration of Helsinki. This patient's enrollment urinary K. pneumoniae isolate (TOP52, strain 1721; hereafter referred to as U1) has previously been sequenced and used as a model uropathogen in experimental murine UTI (Rosen et al., 2008; Johnson et al., 2014). During the study period, the patient had an initial episode of acute cystitis followed by two recurrent symptomatic episodes. Midstream urine and periurethral specimens were self-collected daily throughout the study period, and additional body sites were cultured upon clinic visits. Urine isolates were quantified from 103 CFU/ml to >105 CFU/ml, and periurethral isolates were scored from 1 to 4 based on growth in 4-quadrant streaking. Individual colonies were frozen in glycerol and stored at −70°C. All 26 strains of K. pneumoniae saved from patient TOP52 were sequenced and assigned a notation designated by a capital letter indicating body site followed by a number indicating day collected (Figure 1).

FIGURE 1
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Figure 1. Patient course and isolates collected. Daily urine culture titers of Klebsiella pneumoniae (Kp) are shown quantified on the left y-axis (circles, red line). Daily periurethral swab titers are semi-quantitated on the right y-axis (triangles, dotted black line) with quadrant 4 indicating the highest relative burden of bacteria. Days the patient experienced urinary symptomatology are shaded in red. Antibiotic treatment courses are denoted by green bars. Arrows above the graph signify the collection date of individual strains denoted by a letter indicating collection site followed by a number indicating study day collected. Abbreviations, U, urine (self-collected, midstream); C, catheter urine; V, vaginal swab; A, perianal swab; F, fourchette swab; R, rectal swab; P, periurethral swab (self-collected); TMP-SMX, trimethoprim-sulfamethoxazole.

Illumina Sequencing of Bacterial Isolates

Isolates were subcultured overnight in Luria-Bertani broth at 37°C shaking. DNA was extracted from each isolate using the Wizard Genomic DNA Prep Kit (Promega, Madison, Wisconsin). Dual-indexed Illumina sequencing libraries were constructed from each sample using the NexteraXT kit (Illumina, Inc., San Diego, California), pooled, and sequenced on the Illumina HiSeq 4000 platform.

PacBio SMRT Sequencing of U1 Bacterial Isolate

High molecular weight DNA was extracted from the U1 isolate using the DNeasy Mericon Food Kit (Qiagen, Germantown, Maryland), with the following modifications: (a) the sample was not homogenized before beginning the protocol; (b) 150 microliters of 10 mg/mL lysozyme was added to the resuspended bacterial pellet and incubated at 37°C for 30 min with shaking at 500 rpm; (c) 50 microliters of the proteinase K solution supplied with the kit was added to the Food Lysis buffer and incubated for 90 min at 60°C with shaking at 1,000 rpm. PacBio SMRT (Single Molecule, Real-Time) sequencing libraries were constructed with target 20-kilobase insert size and sequenced on the PacBio Sequel instrument (PacBio, Menlo Park, California).

Genome Assembly of U1 Bacterial Isolate

Our PacBio assembly for the U1 bacterial isolate was initiated using the PacBio SMRT Link analysis software suite (https://www.pacb.com/support/software-downloads/). The raw PacBio reads were assembled with HGAP4 V5.0.1.9585 (Chin et al., 2013, 2016) using default parameters, and the Arrow module was used for subsequent consensus correction.

U1 Bacterial Isolate Genome Assembly Refinement

Illumina sequences from the same isolate used to generate our PacBio U1 assembly were aligned to the PacBio U1 assembly using BWA-MEM v0.7.17 (Li and Durbin, 2010). Subsequent Illumina read depth metrics were used to help evaluate the PacBio U1 assembly for coverage, continuity, and sequence variation (see Supplemental Table 1, TOP52-U1). Regions discordant between the Illumina and PacBio sequencing data were manually resolved using the Integrated Genomics Viewer v2.3.55 (Robinson et al., 2011; Thorvaldsdottir et al., 2013) and Consed v29.0 (Gordon and Green, 2013) to edit the assembly.

Variant Analysis of Bacterial Isolates

Illumina sequences from all 26 bacterial isolates were mapped to our U1-derived, refined K. pneumoniae reference genome assembly using BWA-MEM v0.7.17 (Li and Durbin, 2010). Resultant SAM/BAM files underwent duplication removal (paired-end reads treated as single-end), sorting by alignment position, and indexing using SAMtools v1.7 (Li, 2011). SNVs and small indels (insertion/deletions) were called using VarScan v2.4.3 (Gordon and Green, 2013). VarScan was set to require a minimum coverage depth of 10x and minimum average quality of 30. Heterozygous calls were discarded. Indel detection in VarScan has been shown to be in the 1–30 bp size range (Koboldt et al., 2013). Additionally, Illumina read depth coverage against our reference U1 assembly was calculated for each bacterial isolate using SAMtool's depth and VarScan's readcounts sub-commands. Sequence alignments were scanned for potential “dropout,” where assembly coverage was <10x Illumina read depth, and such regions were compared across all isolates for loci concordance (see Supplemental Table 2). Potentially concordant dropout regions were then manually reviewed using Tablet (Milne et al., 2013, 2016), the graphical genome assembly viewer. For an example of commands used to call variants on U1 isolates, (see Supplemental Table 3). For metrics related to sequence coverage and variant calling, (see Supplemental Table 1). To verify that no variants distinguished the strains, the data were reanalyzed using the Snippy workflow on the Galaxy web platform using the public server at https://usegalaxy.eu/ with default parameters (Seeman, 2015; Afgan et al., 2018).

Data Access

Sequence data are submitted to the Sequence Read Archive under BioProject Accession Number PRJNA488268. The reference genome is under BioSample Accession Number SAMN09928108. The Illumina sequence reads for each sample are under BioSample Accession Numbers SAMN10103286-SAMN10103311.

Results

The patient had an initial episode of UTI followed by two subsequent symptomatic recurrences on days 11 and 19, each with urine cultures yielding K. pneumoniae. All recovered urinary isolates displayed the same antibiotic susceptibility pattern with ampicillin resistance and susceptibility to all other antimicrobials tested including the patient's treatment regimens of trimethoprim-sulfamethoxazole, nitrofurantoin, and ciprofloxacin. For each UTI, positive periurethral and urine cultures arose almost simultaneously, precluding definitive conclusions about the directionality of infection. Between study days 32 and 53, the patient had consistently high periurethral burdens of K. pneumoniae with only a few episodes of bacteriuria, none of which were symptomatic. A total of 26 K. pneumoniae isolates were saved from the patient and all underwent WGS.

The TOP52 U1 isolate was assembled using PacBio and Illumina sequence data into a single contiguous genomic sequence (5,231,007 bp), with only one ambiguous region of approximately 19 bases (pos. 2862397-2862415, see Supplemental Table 2). This refined reference improves substantially upon the previously available draft genome (GenBank acc. JNFE00000000.1), which comprised 85 discontiguous, unordered sequences (Johnson et al., 2014). Additionally, two plasmid sequences were assembled, herein P1 (171,030 bp) and P2 (65,404 bp). P1 had closest sequence identity to K. pneumoniae strain KpN01 plasmid (GenBank acc. CP012989.1), with 99% identity over 63% of the reference. P2 had closest sequence identity to K. pneumoniae strain HZW25 plasmid (GenBank acc. CP025213.1), with 99% identity over 54% of the reference. Previous capsule K-typing by the Statens Serum Institut using historical sera identified this strain as capsular type K6. However, using our TOP52 U1 genomic sequence and the Institut Pasteur Klebsiella Sequence Typing Database (Jolley and Maiden, 2010; Brisse et al., 2013; Institut Pasteur, 2018), we determined TOP52 U1 contains wzi allele 150, which corresponds to associated KL types of KL163, KL27, and KL46. The capsular carbohydrate structural differences and similarities between these KL types and K type have yet to be defined. We also determined the sequence type of this isolate to be 152.

Illumina sequences from each of the 26 isolates were aligned to the complete TOP52 U1 assembly to identify genomic variants. Genome coverage was high for each of the isolates, with the breadth of coverage ranging from 99.8152 to 99.9998% and the deduplicated depth of coverage ranging from 100.4x to 121.8x. No single-nucleotide variants or small indels (here defined as 30 bp or less) were detected in the genomes. This result was verified using an orthogonal variant calling pipeline, snippy. A conserved read dropout (avg. 0–8x) region of ~4,357 bp (pos. 59,982–64,338) was detected on plasmid P2 in 6 of the isolates collected on days 11-13 (P11, P12, P13, R11, U11, V11). The deleted region included several predicted genes encoding a chlorite dismutase (locus tag D1637_27505), a cupin domain-containing protein (locus tag D1637_27510), a hypothetical protein (locus tag D1637_27515), a SamB family protein (locus tag D1637_27520) and a thermonuclease family protein (locus tag D1637_27525). This small deletion within plasmid P2 was not found in any of the isolates collected after day 13.

Discussion

WGS of 26 Klebsiella pneumoniae isolates from multiple body sites of a single patient with recurrent UTI over several weeks indicates that K. pneumoniae may exist clonally in some patients for extended periods of time. However, SNV and small-indel analysis was unable to specify the progression of K. pneumoniae strains through multiple body niches over time. Remarkably, not a single SNV was identified, demonstrating complete chromosomal identity of the isolates. If such genomic identity is generally common within individual patients, a novel approach that does not rely solely on genetic or genomic assays may be required to further specify the reservoir for recurrent UTI.

One limitation of this study is that only single colonies of K. pneumoniae from each body site at each time point were saved and sequenced, thus minor alternative populations of K. pneumoniae may have been missed. This could be important, as potentially multiple uropathogenic isolates may be carried by a woman at any given time (Chen et al., 2013). Despite this, the chromosomal sequence identity of the 26 isolates analyzed suggests that the patient was colonized by this dominant clone throughout the study period.

Upon secondary analysis, we identified a missing region of the P2 plasmid in isolates recovered from multiple sites within the patient between days 11 and 13. Though these strains likely originated from a single subclone, their synchronous appearance precludes speculation as to the niche in which this deletion arose and the order of migration of this strain across body sites. Interestingly, none of the isolates associated with the subsequent UTI exhibited this deletion, indicating they did not originate from the subclone with the P2 deletion associated with the first recurrence.

While mutation rates in K. pneumoniae are not definitively known, studies estimate the mutation rate to be on the order of 10−7 substitutions per site per year (Duchene et al., 2016). This, however, does not take into account selective pressures that may exist in different host environments. Despite the expected relatively low frequency of spontaneous mutation, SNVs identified in outbreak situations have been sufficient to effectively track environmental and inter-patient transmission (Snitkin et al., 2012). This suggests that passage of isolates through different environments over time to another host may increase the rate of mutation. The same selective pressures may not exist within a single host, and genetic drift alone may not provide sufficient SNVs over a comparatively short time period. Our data is consistent with the frequent identification of <10 SNVs between intrapatient K. pneumoniae isolates from gastrointestinal and extraintestinal sites over similar time frames (Gorrie et al., 2017). Another study looking at the evolution of carbapenemase-producing K. pneumoniae isolates from a single patient demonstrated between 3 and 38 SNV differences over months to years (Mulvey et al., 2016). WGS could potentially still be valuable in prospective, single-patient pathogen tracking if selective pressures of given niches are greatly increased above baseline, if other pathogenic species exhibit increased mutation rates within the host, or if the duration of organism collection were extended.

Author Contributions

KW, TW, and DR conceived and designed the experiments. KW, TW, PM, and DR performed the experiments. KW, TW, and DR analyzed the data and drafted the manuscript.

Funding

This work was supported by the National Institutes of Health [K08-AI127714 and P50-DK064540] and the Children's Discovery Institute of Washington University and St. Louis Children's Hospital.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Marsha Cox, Pacita Roberts, and Ann Stapleton at the University of Washington for shipping of the isolates, and Robert Fulton and Chris Markovic at the McDonnell Genome Institute at Washington University for their assistance with PacBio sequencing. The authors additionally thank David Hunstad and Audrey Odom John for support of this project and critical review of this manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2019.00014/full#supplementary-material

Supplemental Table 1. Sequence coverage and variant call metrics for bacterial isolates. Illumina short reads from each specimen were aligned to our PacBio-derived TOP52 U1 assembly and associated plasmids (P1 and P2). Metrics are presented here associated with mapping rates, breadth and depth of coverage, and counts for homozygous single-nucleotide variants and small indels.

Supplemental Table 2. Review of conserved, low assembly coverage across specimens using Illumina short reads. Illumina short reads from each specimen were aligned to our PacBio-derived TOP52 U1 assembly. For each specimen, depth of coverage was reviewed at every position in our assembly, and loci with <10x coverage were compared across all other specimens. Here, conserved loci of <10x are illustrated among specimens, highlighting a region (pos. 2862397-2862415) of Illumina read coverage “dropout.”

Supplemental Table 3. Example commands for TOP52 U1 isolate. Illumina FASTQ files are aligned to our PacBio-derived TOP52 U1 assembly, mapped reads are sorted by coordinate position and indexed, duplicate alignments are marked/ignored, single nucleotide variants and small indels are called, and mapping coverage depth is calculated.

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Keywords: Klebsiella pneumoniae, whole-genome sequencing, single nucleotide variants, urinary tract infection, strain tracking

Citation: Wylie KM, Wylie TN, Minx PJ and Rosen DA (2019) Whole-Genome Sequencing of Klebsiella pneumoniae Isolates to Track Strain Progression in a Single Patient With Recurrent Urinary Tract Infection. Front. Cell. Infect. Microbiol. 9:14. doi: 10.3389/fcimb.2019.00014

Received: 08 November 2018; Accepted: 17 January 2019;
Published: 08 February 2019.

Edited by:

Dennis C. Ko, Duke University, United States

Reviewed by:

Muhammad Ammar Zafar, Wake Forest School of Medicine, United States
Kelly L. Wyres, The University of Melbourne, Australia

Copyright © 2019 Wylie, Wylie, Minx and Rosen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: David A. Rosen, rosend@wustl.edu orcid.org/0000-0003-1081-772X

These authors have contributed equally to this work

Kristine M. Wylie, orcid.org/0000-0002-2504-0661
Todd N. Wylie, orcid.org/0000-0001-8834-8404