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Fitness factor genes conserved within the multi-species core genome of Gram-negative Enterobacterales species contribute to bacteremia pathogenesis

  • Harry L. T. Mobley ,

    Roles Conceptualization, Formal analysis, Funding acquisition, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    hmobley@umich.edu

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Mark T. Anderson,

    Roles Conceptualization, Data curation, Investigation, Methodology, Writing – review & editing

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Bridget S. Moricz,

    Roles Data curation

    Affiliation Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Geoffrey B. Severin,

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Caitlyn L. Holmes,

    Roles Data curation, Investigation, Methodology, Writing – review & editing

    Affiliation Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Elizabeth N. Ottosen,

    Roles Data curation, Investigation

    Affiliation Department of Microbiology and Molecular Genetics, Michigan State University College of Natural Sciences, East Lansing, Michigan, United States of America

  • Tad Eichler,

    Roles Data curation, Investigation, Methodology

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Surbhi Gupta,

    Roles Data curation, Methodology

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Santosh Paudel,

    Roles Data curation, Investigation, Methodology

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Ritam Sinha,

    Roles Data curation

    Affiliation Department of Microbiology and Molecular Genetics, Michigan State University College of Natural Sciences, East Lansing, Michigan, United States of America

  • Sophia Mason,

    Roles Data curation, Methodology, Writing – review & editing

    Affiliation Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Stephanie D. Himpsl,

    Roles Data curation

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Aric N. Brown,

    Roles Data curation, Methodology, Writing – review & editing

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Margaret Gaca,

    Roles Methodology

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Christina M. Kiser,

    Roles Methodology

    Affiliation Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

  • Thomas H. Clarke,

    Roles Data curation, Formal analysis

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Derrick E. Fouts,

    Roles Conceptualization, Investigation

    Affiliation J. Craig Venter Institute, Rockville, Maryland, United States of America

  • Victor J. DiRita,

    Roles Conceptualization, Investigation

    Affiliation Department of Microbiology and Molecular Genetics, Michigan State University College of Natural Sciences, East Lansing, Michigan, United States of America

  •  [ ... ],
  • Michael A. Bachman

    Roles Conceptualization, Data curation, Investigation, Writing – review & editing

    Affiliation Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America

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Abstract

There is a critical gap in knowledge about how Gram-negative bacterial pathogens, using survival strategies developed for other niches, cause lethal bacteremia. Facultative anaerobic species of the Enterobacterales order are the most common cause of Gram-negative bacteremia, including Escherichia coli, Klebsiella pneumoniae, Serratia marcescens, Citrobacter freundii, and Enterobacter hormaechei. Bacteremia often leads to sepsis, a life-threatening organ dysfunction resulting from unregulated immune responses to infection. Despite a lack of specialization for this host environment, Gram-negative pathogens cause nearly half of bacteremia cases annually. Based on our existing Tn-Seq fitness factor data from a murine model of bacteremia combined with comparative genomics of the five Enterobacterales species above, we prioritized 18 conserved fitness genes or operons for further characterization. Mutants were constructed for all genes in all five species. Each mutant was used to cochallenge C57BL/6 mice via tail vein injection along with each respective wild-type strain to determine competitive indices for each fitness gene. Five fitness factor genes, when mutated, attenuated mutants in four or five species in the spleen and liver (tatC, ruvA, gmhB, wzxE, arcA). Five additional fitness factor genes or operons were validated as outcompeted by wild-type in three, four, or five bacterial species in the spleen (xerC, prc, apaGH, atpG, aroC). Overall, 17 of 18 fitness factor mutants were attenuated in at least one species in the spleen or liver. Together, these findings allow for the development of a model of bacteremia pathogenesis that may include future targets of therapy against bloodstream infections.

Author summary

Frequent cases of bacteremia plague our ICUs, bone marrow transplant units, and inpatient facilities. Nearly half of these infections are caused by Gram-negative bacteria. The Enterobacterales order including E. coli, K. pneumoniae, S. marcescens, C. freundii, and E. hormaechei are leading causes of bacteremia. An alarming proportion of these are due to antibiotic-resistant isolates, which are four times more likely to kill than antibiotic-susceptible isolates. Clearly, we need new therapeutic targets to treat cases of bacteremia and sepsis. Previously, it has been unclear what genes contribute to their ability to survive in this hostile host environment. We have previously undertaken unbiased genetic screens to identify genes shared by all five bacterial genera that are required for maintaining bacterial burden in the blood and blood-filtering organs. These include genes that encode proteins that maintain proton motive force, resist antimicrobial peptides and complement, mediate genome maintenance, transport key metabolites and proteins, avoid oxidative stress, acquire iron, and regulate key pathways. Mutants, constructed in these shared genes in the five species, were validated for a high proportion of genes as critical for infection in the mouse model of bacteremia.

Introduction

Sepsis, a life-threatening organ dysfunction, results from an unregulated immune response to infection. It is the leading cause of death in hospitalized patients across the United States [1] with a mortality rate of 25–50% leading to 220,000 deaths per year. The leading causes of bloodstream infections include the bacterial pathogens Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and coagulase-negative Staphylococci. In addition, other notable pathogens include Pseudomonas aeruginosa, Acinetobacter baumannii and Candida species [2,3]. However, Gram-negative pathogens cause nearly half of bacteremia cases annually [4] and these isolates are increasingly antibiotic-resistant [4,5]. Indeed, facultatively anaerobic species within the Enterobacterales order are the most common cause of Gram-negative bacteremia, including the species Escherichia coli, Klebsiella pneumoniae, Serratia marcescens, Citrobacter freundii [6] and Enterobacter hormaechei [7]. Early treatment with antibiotics is critical to reduce mortality, but antibiotic resistance may thwart this empiric therapy. Thus, there is a critical need to develop new therapies and salvage existing ones to counter antibiotic resistance and reduce sepsis mortality.

Bacteremia has three phases of pathogenesis: initial primary site infection, dissemination to the bloodstream, and growth and survival in blood and blood-filtering organs [8]. In Gram-negative bacteremia, the primary site serves as a reservoir of the pathogen that can intermittently re-seed the bloodstream and prolong the infection. We have recently determined that Enterobacterales replicate rapidly in the liver and spleen during bacteremia [9], but are slowly cleared in most cases, indicating that the immune system can overcome rapid bacterial growth. Whereas current antibiotics are based on the ability to kill or inhibit bacterial growth in vitro, there is an opportunity to identify novel drug targets that contribute to the persistence of infection.

To that end, we previously constructed random transposon libraries or ordered transposon libraries in representative clinical isolates of five Gram-negative Enterobacterales species: E. coli CFT073 [10], K. pneumoniae KPPR1 [11,12], S. marcescens UMH9 [13], C. freundii UMH14 [14], and E. hormaechei UM_CRE_14. We conducted global Tn-Seq screens in the murine model of bacteremia by tail vein inoculation and identified putative fitness genes of each species predicted to contribute significantly to maintaining the bacterial burden in the bloodstream and blood-filtering organs including the spleen and liver. The characteristics of the Tn libraries and the outcomes of the Tn-Seq screens are summarized in Table 1.

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Table 1. Species, strains, transposon pool complexity, and genome sequences used in Tn-Seq studies in the murine bacteremia model.

https://doi.org/10.1371/journal.ppat.1012495.t001

To further enable these studies, we also conducted extensive genomic comparisons and identified the multi-species core genome of Enterobacterales species commonly causing bacteremia in humans [17]. By integrating our multi-species core genome and genome-wide fitness data of the five selected species, we aligned Tn-Seq screen hits identified in a murine model of bacteremia to prioritize fitness genes shared among Enterobacterales species.

Although phenotypically similar in terms of antimicrobial resistance and metabolism, these five Gram-negative species nevertheless represent a heterogeneous group of organisms that differ in virulence mechanisms, primary sites of infection, and metabolic pathways. For example, extraintestinal pathogenic E. coli produce a a variety of adhesins and toxins and generally reaches the bloodstream by infection of the urinary tract, ascension to the kidneys, and breaching of the capillary network in the kidney. K. pneumoniae commonly infects the lungs causing a highly inflammatory pneumonia relying on multiple capsule types and siderophores, and disseminates from the lungs to the bloodstream. Serratia marcescens has a propensity for kidney infection and can enter the circulation by crossing those endothelial barriers. C. freundii and E. hormaechei colonize the gastrointestinal tract and disseminate from there [for a review, see [2]].

There is also wide variation in our knowledge regarding infections of the bloodstream. For example, E. coli has been extensively studied in the context of extraintestinal infection (~6000 PubMed references on “E. coli and bacteremia” as of 2024) and ~2000 for K. pneumoniae. In contrast, our understanding of S. marcescens, C. freundii, and E. hormaechei has lagged behind, despite the recognition of their epidemiological importance (just over 300 references combined). Moreover, only a small percentage of these reports dealt with virulence mechanisms, but rather characterized clinical infections and antibiotic resistance. While previous studies have evaluated Gram-negative bacteremia fitness genes required in the blood, there has been no systematic analysis of shared genes critical across species in this hostile environment. Based on the data herein, we developed a model of Enterobacterales pathogenesis of bacteremia for these species.

The goal of this study was to identify and characterize conserved bacterial fitness genes and operons that play critical roles in the development and outcome of bacteremia that may also serve as potential therapeutic targets. Data from independent Tn-Seq studies of five Enterobacterales species in a murine model of bacteremia were used to prioritize conserved fitness factor genetic components. Mutants in 18 shared genetic components were newly constructed in all five species and used to cochallenge C57BL/6 mice via tail vein injection along with the respective wild-type strain of each species to determine competitive indices for each fitness gene or operon. Twelve of 18 prioritized components were confirmed as fitness factors in three or more species. Relevant phenotypes of the mutants were assessed to validate the mutant constructs and identify potential in vitro correlates of virulence. We propose that these genes and their respective proteins may represent future targets of therapy against bloodstream infections.

Results

Selection and mutation of fitness genes found in the multi-species core genome shared by at least four of the five species

In preparation for this study, we defined a “multi-species core genome” composed of 2850 non-essential genes shared by at least four of the five species as detailed in Materials and Methods (Determination of the multi-species core genome) and by [17]. Using the Tn-Seq data from transposon libraries of the Gram-negative species used to challenge our murine model via tail injection, we found 500 total bacteremia fitness genes present in at least one species-level core-genome of which 373 were represented in the multi-species core genome. From the 373 total bacteremia fitness genes, we created a scoring rubric to prioritize conserved fitness genes of interest for further study as detailed in Materials and Methods (Scoring rubric for ranking and prioritization of fitness mutants) and as outlined in [17]. Scoring for each fitness gene was based on the following criteria 1) the magnitude of the fitness defect associated with a gene in any one species, 2) a gene that was a fitness factor in multiple species, 3) whether multiple fitness genes reside in the same operon, and 4) that mutation of a fitness gene was found to confer increased antibiotic susceptibility in E. coli BW25113 [18,19] (seven different antibiotics were tested; however, cephalosporins, antibiotics clinically useful against bacteremia, were not tested in these published studies). 102 of the 373 fitness factor genes met this last criterion, including prioritized genes atpG, ubiG, hscB, gmhB, sapA, pstC, tatC, ruvA, xerC, and lpdA. Overall, 18 single genes and/or gene clusters within operons, ranked according to the scoring rubric, were prioritized for study based on their initial scoring (Table 2). These conserved and shared bacteremia fitness genes, predicted by Tn-Seq screens to contribute significantly to virulence of Gram-negative Enterobacterales bacilli, were assigned to eight common pathways.

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Table 2. Prioritization criteria for conserved and shared bacteremia fitness genes within common pathways predicted by Tn-Seq screens as required for virulence of Gram-negative Enterobacterales bacilli.

https://doi.org/10.1371/journal.ppat.1012495.t002

All isolates representing the five species (Table 1) have been demonstrated as amenable to lambda red recombineering (see “Construction of mutants in prioritized fitness genes” in Materials and Methods). Therefore, using a common strategy outlined in Fig 1, we constructed 89 total deletion mutants composed of either single or multi-gene (i.e., operons) mutations covering 203 genes in total across all five species. In E. coli, K. pneumoniae, S. marcescens, and C. freundii, we constructed 18 mutants that covered 42 total genes per species. In E. hormaechei UM_CRE_14, a strain that lacks arn genes, we constructed 17 mutants that covered 35 genes. All mutant constructs were verified by PCR and/or sequencing.

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Fig 1. Prioritized multi-species bacteremia fitness genes.

Colored arrows represent fitness genes that were targeted for mutagenesis via recombineering. The genetic organization of E. coli CFT073 is shown for reference, but corresponding mutations were generated in each of the five species of interest. ORF length are not to scale.

https://doi.org/10.1371/journal.ppat.1012495.g001

Assessment of virulence of mutants versus wildtype strains in the murine tail vein injection model

Each of the 89 mutants were competed head-to-head against their respective wild-type strains in co-infections in the murine bacteremia model. Inocula for each species were titrated to avoid lethality and were set to represent maximal CFU/ml that would not result in loss of the murine host following inoculation (see footnote “a” in Table 3 for inocula size for each species). At 24 hours post-inoculation, mice were euthanized and CFU/g tissue in homogenates of spleens and livers were enumerated and used to calculate competitive indices. Results are shown for all five species in Table 3 for spleens and Table 4 for livers. Statistical corrections for multiple comparisons were implemented by determining the False Discovery Rates for each species; P values were adjusted accordingly (see footnote “b” in Tables 35). Competitive indices +/- standard deviations in spleens and livers are presented in graphical form in S1 Fig. Average fold-defects +/- standard deviations are presented for these data in S2 Fig. We additionally report competitive indices of S. marcescens UMH9 mutants in kidneys (Table 5) owing to the wild-type’s robust capacity to colonize this organ in this murine model [9]. Competitive indices +/- standard deviations in spleens and livers are presented in graphical form in S3 Fig. Individual mutant competitive indices found to be statistically below the hypothetical mean of 0 (i.e., neutral fitness) are considered attenuated (green shading).

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Table 3. Competitive indices of bacteremia Tn-Seq fitness factor gene mutants in the Spleen following cochallenge via tail vein injection with respective wild-type parent strain in the murine model of bacteremia.

https://doi.org/10.1371/journal.ppat.1012495.t003

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Table 4. Competitive indices of bacteremia Tn-Seq fitness factor gene mutants in the Liver following cochallenge via tail vein injection with respective wild-type parent strain in the murine model of bacteremia.

https://doi.org/10.1371/journal.ppat.1012495.t004

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Table 5. Competitive indices of prioritized Tn-Seq fitness factor gene mutants in the Kidneys following cochallenge with wild-type Serratia marcescens UMH9 in the murine model of bacteremia.

https://doi.org/10.1371/journal.ppat.1012495.t005

In the spleen (Table 3), three mutants (tatC, ruvA, xerC) were attenuated in all five species. Four mutants (gmhB, wzxE, arcA, prc) were attenuated in four species. Seven mutants (apaGH, atpIBEFHAGDC, lpdA, aroC, ubiH, pdxA, hscBA, pstSCABphoU) were outcompeted by wild-type in two or three bacterial species. Two mutants were outcompeted in only one species (lpdA, sapABCDF) and two mutants (arnBCADTEF, proP) were not attenuated in any species.

In the liver (Table 4), three mutants (tatC, gmhB, aroC) were outcompeted by the wild-type of all five bacterial species. Four mutants (ruvA, ubiH, arcA, wzxE) were attenuated in four species. Four mutants (xerC, apaGH, hscBA, prc) were outcompeted by wild-type in three bacterial species. Six mutants (lpdA, pstSCABphoU, atpIBEFHAGDC, pdxA proP) were attenuated in 1 or 2 species. As for the liver, only two mutants (arnBCADTEF, sapABCDF) were not attenuated for any species.

Unlike the other four species, S. marcescens has an affinity for kidney colonization in addition to the spleen and liver following challenge by tail vein injection of mice [9]. Six of the 18 mutants (aroC, wzxE, tatC, atpIBEFHAGDC, prc, arcA) were significantly outcompeted by the S. marcescens wild-type strain in the kidneys with fitness defects ranging from 467-fold to 16-fold (Table 5).

Establishing phenotypes of mutants in vitro

The 89 bacterial constructs carrying deletion mutations in single prioritized fitness genes or their respective operons across all species were then evaluated for in vitro phenotypes. (Tables 2 and S2). We also sought in vitro correlates that could predict successful colonization by a bacterial species in the murine model of bacteremia. We attempted to determine whether the functional pathways identified represent a global strategy of Gram-negative bacilli to successfully infect the bloodstream.

i. Growth rates of mutants.

Growth rates of wild-type strains and all mutants were assessed during exponential growth in lysogeny broth (LB) at 37°C with aeration to identify potential growth defects in rich medium displayed by the mutants as compared to their respective wild-type strains. Growth was monitored over 16 h in automated growth curve analyzers. Relative growth rates were defined during exponential growth phase as maximal specific growth rate of mutant / maximal specific growth rate of wild-type (Table 6 and S4 Fig). For 65 of 89 (73%) mutants, no statistically significant defect in growth rate was noted as compared to the wild-type strain. Among the mutant constructs with growth defects, mutations in a component of the pyruvate dehydrogenase complex (lpdA) and an enzyme in the ubiquinone synthesis pathway (ubiH) conferred significantly slower growth in all five species. Mutations in genes encoding ATP synthase (atpIBEFHAGDC) and the pstSCAB phoU locus similarly resulted in significantly slower growth in three of the five species. Although most of the observed growth phenotypes were consistent between species, wzxE mutations were an exception, resulting in enhanced growth for S. marcescens but slower replication for E. hormaechei.

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Table 6. Relative growth rates of mutants compared to wild-type strains in LB mediuma.

https://doi.org/10.1371/journal.ppat.1012495.t006

To use a more sensitive method to identify potential growth defects of mutants, we conducted in vitro competition of mutants with respective wild-type strains by co-culture in lysogeny broth. Mutants selected were those that had not displayed a growth rate defect in mono-culture in at least four of the five species and included the top five mutants in genes that were most outcompeted by wild type in both spleen and liver (tatC, ruvA, gmhB, wzxE, and arcA) as well as a control, lpdA, which when mutated displayed a very significant growth defect in all five species. Competitive indices resulting from co-culture were more sensitive at detecting a growth defect than mono-culture (Fig 2). Besides all lpdA mutants, which had growth defects in both mono- and co-culture, nine of the 20 other mutants had growth defects in co-culture that were not detected in mono-culture. While these differences were statistically significant, generally the drop in competitive indices was less than one log10 and may not be sufficient to explain the full extent of the in vivo fitness defect.

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Fig 2. Competitive Indices of competition of mutants and respective wild type strains co-cultured in lysogeny broth.

Stationary phase cultures of selected mutants and their respective wild type strains were normalized to OD600 = 1.0 in PBS, pH7.2, and mixed 1:1, then diluted 1:100 into 2 ml of lysogeny broth and cultured for 24 h at 37°C with aeration. Co-cultures were serially diluted and differentially plated on Luria agar with and without antibiotic selection and CFUs were quantified. Data are expressed as competitive indices as defined in footnote “a” of Table 3. Each data point represents an independent competition experiment. Significance was determined by a one-sample t-test performed on log10-transformed competitive indices (*, p < .05; **, p < .01; ***, p < .001). Blue circles indicate lpdA control competition experiments after 24 h with the exception of E. hormaechei which was also determined at 5 h.

https://doi.org/10.1371/journal.ppat.1012495.g002

ii. Susceptibility to Ciprofloxacin.

Mutants in recombinases encoded by ruvA and xerC, responsible for DNA repair, have been shown to be susceptible to the action of the DNA topoisomerase and gyrase inhibitors including the commonly prescribed antibiotic ciprofloxacin [22]. We measured the diameters of zones of inhibition (killing) on agar plates around paper disks saturated with 5 μg ciprofloxacin. ruvA mutants of all five species and xerC mutants of four species had a significantly larger zone size (p < .05) to ciprofloxacin than the wild-type strains (Table 7). Notably, E. hormaechei UM_CRE_14 is completely resistant to ciprofloxacin and while mutation of xerC did not alter that intrinsic resistance, loss of ruvA did result in a significant, albeit modest, increase in susceptibility. While susceptibility to other related antibiotics was not tested, this confirms the expected in vitro phenotype of these mutants and their prioritization as potential fitness factors that also affect antibiotic susceptibility.

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Table 7. Zones of inhibition for disk diffusion of ciprofloxacin in wild-type strains and xerC and ruvA mutants.

https://doi.org/10.1371/journal.ppat.1012495.t007

iii. Serum Resistance.

We hypothesized that three fitness factor genes or operons may contribute to resistance to human serum. The wzxE mutants are expected to have reduced amounts of Enterobacterial Common Antigen (ECA) on the surface that may weaken outer membrane integrity and modify interaction with serum components including complement. prc encodes a protease involved in the regulation of peptidoglycan synthesis [23] but has also been demonstrated to degrade complement [24]. The sap locus encodes proteins that provide “sensitivity to antimicrobial peptides” as shown in Salmonella Typhimurium [25]. To test for serum sensitivity, 107 cfu/ml of the wild-type strains and their respective wzxE, prc, and sapABCDF mutants were incubated with human serum for 90 minutes at 37°C and then plated for viability on Luria agar. prc deletion mutants of four species, excepting K. pneumoniae KPPR1, were found to be more sensitive to active human serum as compared to the wild-type strains (Fig 3). wzxE mutants in all five species were more susceptible to serum killing than their wild-type strains. None of the proP mutants were more sensitive than respective wild-type strains for any species tested. Mutants for all species were not sensitive to heat-inactivated human serum.

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Fig 3. Susceptibility of Enterobacterales species to human serum.

1x107 CFU/mL of bacteria (A-E: named species and strain) were incubated with normal human serum and heat-inactivated human serum to indicate complement-specific killing for 90 minutes at 37°C. 90% pooled human serum was used for K. pneumoniae KPPR1 and 40% pooled human serum for C. freundii UMH14, E. coli CT073, S. marcescens UMH9, and E. hormaechei UM_CRE_14. (Left panels) Individual CFUs with mean +/- SEM (n = 3) were plotted at t = 0 (white) and t = 90 in heat-inactivated human serum (light gray) and normal human serum (dark gray). (Right panels) Viability was calculated relative to t = 0 with statistical differences in susceptibility to heat-inactivated human serum or normal human serum determined using an unpaired t-test (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001). Dashed line denotes limit of detection. Data are presented as the mean ± SEM and are representative of 3 independent experiments each with 3 biological replicates.

https://doi.org/10.1371/journal.ppat.1012495.g003

The K. pneumoniae enterobacterial common antigen (ECA) wzxE mutant was complemented in the human serum susceptibility assay (S5 Fig). As noted, the wzxE mutant was significantly more susceptible to killing by active human serum but not by heat-inactivated serum indicating that killing was complement-mediated. When wzxE mutant was complemented in trans on a plasmid carrying wzxE, killing by active human serum was reduced to the level of the wild type strain. Thus mutation of wzxE was not polar on downstream genes in the ECA operon.

iv. Susceptibility to Antimicrobial Peptides.

We tested wzxE, arn, and sap deletion mutants and their respective wild-type strains for susceptibility to the model cationic antimicrobial peptide polymyxin B (Fig 4). arnBCADTEF deletion mutants were statistically more susceptible to polymyxin B in all species tested (E. hormaechei UM_CRE_14 lacks the arn operon and was not tested), as were wzxE mutants in four species (E. coli CFT073, C. freundii UMH14, S. marcescens UMH9 and E. hormaechei UMCRE14). Unlike the published report for Salmonella Typhimurium [25], and opposite to the anticipated result, sap operon deletion mutants were statistically protected against polymyxin B relative to their respective wild-type strain in four species (E. coli CFT073, K. pneumoniae KPPR1, S. marcescens UMH9 and C. freundii UMH14). Finally, neither the sap operon nor the single sapC locus mutants in E. hormaechei UM_CRE-14 were statistically different than the wild-type strain.

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Fig 4. Susceptibility of Enterobacterales species to Polymyxin B.

1x107 CFU/mL of bacteria (A-E: named species and strain) were incubated with Polymyxin B in PBS for 45 minutes at 37°C. (Left panels) Individual CFUs with mean +/- SEM (n = 3) were plotted at t = 0 (white) and t = 45 (gray). (Right panels) Viability was calculated relative to t = 0 with statistical differences in sensitivity to Polymyxin B determined using an unpaired t-test (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001). Polymyxin B concentrations used are as follows: 1 μg/mL for E. coli CFT073; 2.5 μg/mL for C. freundii UMH14; 5 μg/mL for K. pneumoniae Kppr1; 10 μg/mL for S. marcescens UMH9 and 1 μg/mL for E. hormaechei UM_CRE_14. sap operon indicates sapBCADTEF mutant. arn indicates arnABCDF mutant. Dashed line denotes Limit of Detection. Data are presented as the mean ± SEM and are representative of 3 independent experiments each with 3 biological replicates. Statistical significance was assessed by the t-test.

https://doi.org/10.1371/journal.ppat.1012495.g004

v. Secretion of folded proteins.

SufI is a model protein substrate of the twin-arginine translocation (Tat) protein export system whose relationship with Tat secretion has been studied extensively in E. coli [2628]. The Tat pathway is widely conserved among bacteria [29] and we have previously demonstrated that both tatC, encoding twin-arginine signal peptide recognition capacity, and sufI were significant contributors to bacteremia fitness of C. freundii [14]. Thus, we chose to demonstrate its phenotype in an uninvestigated species. In wild-type exponentially growing S. marcescens expressing a SufI-GFP fusion, a strong fluorescent signal was observed at one or both cell poles (Fig 5A) by fluorescence microscopy, resulting in increased signal intensity at these locations when plotted as a function of cell length (Fig 5B). This polar localization of SufI-GFP was completely tatC-dependent since fluorescence resulting from the same fusion construct was uniformly diffuse throughout the cell in the UMH9 ΔtatC::km strain. Similarly, differential localization was also not observed in wild-type or mutant bacteria expressing the unmodified GFP control plasmid, indicating that the SufI N-terminal signal sequence was required for the polar localization of SufI-GFP. Together, these results are consistent with Tat-dependent translocation of S. marcescens SufI that is mediated by the predicted twin-arginine signal sequence. In addition to the diffuse fluorescence phenotype, the ΔtatC::km mutant also exhibited a significant increase in total cell length compared to wild-type bacteria (Fig 5C). These findings are consistent with observations of tat null mutations in other species and is likely a consequence of inappropriate localization of cell division-related proteins that are secreted via the Tat pathway [27,3032].

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Fig 5. Demonstration of Tat pathway secretion in S. marcescens.

A. S. marcescens wild-type and tatC mutant bacteria harboring plasmids that encoded an unmodified GFP (GFP) or an engineered fusion of the SufI N-terminal twin-arginine signal peptide with GFP (SufI-GFP) were visualized by fluorescence microscopy. Fluorescence intensity as a function of cell length (B) and total cell length (C) were determined for bacteria (n≥100) from multiple fields using Image J. Statistical significance for panel C was assessed by unpaired t-test: ****, p<0.0001.

https://doi.org/10.1371/journal.ppat.1012495.g005

vi. Repression of aerobic growth.

Mutation of arcA in E. coli, K. pneumoniae, S. marcescens, C. freundii, and E. hormaechei resulted in a small colony phenotype compared to each respective wild-type strain, a phenotype that has been noted previously [33,34]. This was quantified by plating dilutions of cultures of arcA mutants and wild-type strains on Luria agar and measuring colony diameters after overnight incubation at 37°C using ImageJ-2 software (Fig 6). Wild-type colony diameters for E. coli, K. pneumoniae, S. marcescens, C. freundii, and E. hormaechei averaged 2.05 mM, 2.53 mM, 1.54 mM, 1.61 mM, and 1.56 mM, respectively, whereas arcA mutant colony diameters averaged 1.00 mM, 1.41 mM, 0.76 mM, 1.02 mM, and 0.72 mM (p < .0001 for all comparisons), respectively. Growth rates of the arcA mutants were also notably slower than respective wild-type strain when cultured aerobically in lysogeny broth [Table 6 and [20]]. Growth rates were complemented to wild type levels in lysogeny broth with arcA expressed in trans on a plasmid for K. pneumoniae, S. marcescens, and C. freundii as described previously [20]].

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Fig 6. Small colony phenotype of arcA mutants.

Wild-type and arcA mutants were cultured overnight in LB with aeration at 37°C. Ten-fold dilutions were spread plated onto Luria agar and incubated overnight at 37°C. Colony diameters were measured using ImageJ software (http://imagej.nih.gov/ij). #For all five species, arcA mutants had statistically significantly smaller colony diameters than wild-type strains as determined using an unpaired t-test. #(p < .0001). The small colony phenotype has been observed previously in arcA mutants [33,34].

https://doi.org/10.1371/journal.ppat.1012495.g006

vii. Siderophore production.

aroC encodes chorismate synthase which provides the precursor for the synthesis of catechol siderophores including enterobactin [35]. Thus, mutation of aroC prevents enterobactin biosynthesis. While C. freundii UMH14 synthesizes enterobactin as its only siderophore, the other four species carry multiple siderophore biosynthesis pathways. We examined total siderophore activity on CAS agar plates for wild-type strains and aroC mutant constructs. In the CAS assay, a bright halo around a colony, resulting from chelation of iron by the siderophore from the dye, is indicative of siderophore activity (Fig 7A). For four of the five species, wild-type strains quantitatively demonstrated more siderophore activity than their respective aroC mutants (Fig 7B) ranging from subtle to dramatic. For example, S. marcescens UMH9 [36], which synthesizes chrysobactin and the catecholate siderophore serratiachelin, showed a dramatic reduction in halo radius and intensity in the mutant compared to wild-type, whereas K. pneumoniae KPPR1 [37], which produces enterobactin, salmochelin, and yersiniabactin [38], and C. freundii UMH14, which synthesizes only enterobactin [assessed by antiSmash 7.0 [38]], showed a more subtle diminishment of halo intensity. For E. coli CFT073, which carries at least four siderophore biosynthetic pathways including enterobactin, salmochelin, yersiniabactin, and aerobactin as well as heme receptors [39], the loss of enterobactin, salmochelin and perhaps yersiniabactin (catechol siderophores) reduced the radius of the halo around the colony on CAS agar but the bacterium still produces significant chelating activity due to remaining siderophores. E. hormaechei UM_CRE_14, which encodes the ability to synthesize enterobactin (100% match for biosynthesis genes by antiSmash 7.0) and perhaps aerobactin (60% match) did not display a demonstrable difference between wild-type and mutant in this assay.

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Fig 7. Siderophore production.

(A) Siderophore production was detected on chrome azurol S (CAS) plates supplemented with 1% tryptone. A sample (2 μl) of overnight stationary phase LB medium cultures was spotted in triplicate onto CAS agar plates and incubated at 37°C for 16 h. (B) Siderophore activity was measured from the linear distance from the edge of the colony to the edge of the chelation halo at positions 12, 3, 6 and 9 o’clock (4 measurements/colony) using ImageJ software. Statistical significance is based on an unpaired two-tailed t-test (*p<0.05, ***p<0.005).

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viii. Oxidative Stress assessed by exposure to H2O2.

Resistance to oxidative stress is a key mechanism used by pathogens to evade immune responses. To determine if fitness genes annotated as involved in oxidative stress responses protected against this threat, we exposed the arcA, ruvA, and xerC mutant constructs to hydrogen peroxide (S6 Fig). None of these mutant constructs were more susceptible to H2O2 across any species. Previous literature demonstrated that the gene sspA is required for K. pneumoniae oxidative stress resistance [11], although this gene is not traditionally annotated as involved in this stress response [11]. Oxidative stress resistance may be conveyed by other fitness genes, and each species likely has unique mechanisms to combat this response.

ix. Osmotic stress.

Sensitivity to osmotic stress, encountered in the bloodstream, was assessed by incubating an independent suspension (107 CFU/mL) of wild-type, prc, wzxE, and proP deletion mutants in PBS, pH 7.4 with and without 2 M D-sorbitol for 30 minutes at 37°C. Viable colonies were enumerated by dilution plating onto Luria agar (Fig 8). prc mutants of S. marcescens UMH9 and C. freundii UMH14 were significantly more sensitive to osmotic stress induced by 2M D-sorbitol than their wild-type counterparts. Complementation of C. freundii UMH14 prc mutant by prc in trans restored resistance to osmotic stress to wild-type levels (S5 Fig). wzxE deletions of E. coli CFT073, K. pneumoniae KPPR1, S. marcescens UMH9, and E. hormaechei UM_CRE_14 were also significantly more sensitive to sorbitol than their wild-type strains. However, no significant sensitivity in any proP deletion mutant to sorbitol was observed.

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Fig 8. Susceptibility of Enterobacterales species to osmotic stress.

1x107 CFU/mL of bacteria (A-E: named species and strain) were incubated with 0M or 2M D-sorbitol in PBS to induce osmotic stress for 30 minutes. (Left panels) Individual CFUs with mean +/- SEM (n = 3) were plotted after 30-minute incubation in 0M (white) and 2M (gray) sorbitol. (Right panels) Bacterial viability was calculated relative to 0M sorbitol. Data are presented as the mean ± SEM and are representative of 3 independent experiments each with 3 biological replicates. Statistical significance was assessed by an unpaired t-test.

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We also examined osmotic stress in C. freundii UMH14 by culturing the wild type strain and prc deletion mutant in a hypotonic medium (LB containing no NaCl). While little difference is observed in the growth patterns of the two strains in standard LB medium (which contains 1% NaCl) the prc mutant exhibits a severe growth defect in LB medium which does not contain NaCl (S7 Fig). As prc is preceded by proQ in a shared operon (Table 2) we isolated the activity of Prc from ProQ in a prc complementation vector by first cloning the native promoter and two-gene operon into a low-copy plasmid and then introducing a nonsense mutation in the start codon of proQ (pPrc). Maintenance of pPrc by the prc mutant restored growth in the hypotonic medium to levels comparable to that of the wild type (S7 Fig). This result demonstrates the hypotonic growth defect is directly attributable to the absence of the prc allele as it can be fully complemented by provision of prc on a plasmid.

x. Envelope stress.

We measured the growth of ruvA, tatC, gmhB, and wzxE mutants and their respective wild-type strains in four of the five species (C. freundii, E. coli, S. marcescens, and K. pneumoniae) on MacConkey agar, a medium containing bile salts, and compared survival to growth on Luria agar by CFU enumeration (Fig 9). Except for C. freundii, wild-type strains were resistant to bile salts, which may be encountered in the liver and gastrointestinal tract during infection. Mutation of gmhB resulted in a profound sensitivity to bile salts in E. coli. ruvA mutants of E. coli and K. pneumoniae were both intermediately sensitive. For tatC mutants, K. pneumoniae was most sensitive and for wzxE, both C. freundii and S. marcescens were nearly completely susceptible, with scarce CFUs encountered on MacConkey agar. It should be noted that MacConkey agar, in addition to bile salts, also contains crystal violet, which could also be inhibitory to these mutants.

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Fig 9. Envelope stress after exposure to bile salts.

Bacterial cultures were incubated at 37°C overnight in LB, diluted in PBS to a final concentration of 104 CFU/mL. Bacterial suspensions were spread-plated onto MacConkey agar (Mac) and LB agar (LB) in triplicate and incubated overnight at 27°C Colonies were counted after 48 hours of incubation. Data are presented as the ratio of the number of CFU on MacConkey agar to the number of CFU on LB agar [79]. Significance was determined by paired ANOVA Dunnett’s multiple comparisons test.

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*, p < .05; **, p < .01.

xi. Phosphate transport.

Mutation of the primary high affinity phosphate ABC transport system (pstSCABphoU) results in limitation of phosphate, a requisite nutrient [40]. When bacteria experience phosphate starvation, they upregulate alkaline phosphatase encoded by phoA, which scavenges phosphate from monoesters of phosphoric acid [41]. Thus, pst mutants for all species and respective wild-type strains were assayed for alkaline phosphatase activity following culture in phosphate-limiting minimal medium [42]. In sharp contrast to their wild-type strains, pstSCABphoU mutants of E. coli CFT073, K. pneumoniae KPPR1, C. freundii UMH14, S. marcescens UMH9 but somewhat less so for E. hormaechei UM_CRE_14, displayed significantly higher alkaline phosphatase activity when cultured in this phosphate limited condition (Fig 10).

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Fig 10. Alkaline phosphatase activity of phosphate transport mutants.

Suspensions of wild-type strains normalized to OD600 = 0.1 (circle) E. coli CFT073, K. pneumoniae Kppr1, S. marcescens UMH9, C. freundii UMH14, E. hormaechei UM_CRE_14 and their respective pstSCABphoU mutants (square) were incubated with p-nitrophenylphosphate at 37°C for one hour. Hydrolysis of substrate was followed OD405 as a measure of alkaline phosphatase activity. Statistical differences were measured with an unpaired t-test and (**p<0.01, ***p<0.001, ****I<0.0001).

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xii. In vitro correlates of infection.

Phenotypic tests were conducted on mutants where there had been a previous association of fitness gene and phenotype. While not all assays were conducted on all mutants, when quantifying the statistically significant association of loss of a phenotypic trait with statistically significantly attenuation of the mutant in spleen and liver (Tables 3 and 4), a pattern is worth noting. Phenotypes associated with cell envelope integrity of the five species including susceptibility to active human serum, bile salts, and osmotic stress were most frequently observed and included mutants in prc, wzxE, and ruvA (S2 Table). Susceptibility of these mutants to these agents correlated with attenuation of virulence and thus may serve as correlates of virulence.

Discussion

Our previous series of Tn-Seq screens for five Gram-negative bacterial species [1014] in the Enterobacterales order (Table 1), in addition to genomics analysis that permitted identification of a multi-species core genome [17], allowed us to identify and prioritize shared key non-essential fitness factor genes required for maintaining bacterial burden once these bacterial species have gained access to the bloodstream and blood-filtering organs in the murine model of bacteremia (Table 2). We constructed mutations in the 18 most highly prioritized genes or operons in four species and 17 mutants in E. hormaechei for a total of 89 mutants. Each mutant was competed with its respective wild-type parent strain in the bacteremia model by tail vein injection of identical numbers of CFUs of wild-type and mutant bacteria. The same mutants were subjected to a battery of phenotypic assessments. Using these results, we reranked the fitness factor genes based on their respective significant impacts on survival (competitive indices and fold-defects) and number of species attenuated in the murine model of bacteremia (Tables 3, 4, and 5, and S3S5 Figs).

Using survival in the spleen and secondarily in the liver, 49 of the 89 mutants were significantly outcompeted by their parent strain in the spleen (Table 3) and 48 of 89 mutants were significantly outcompeted by their parent strain in the liver (Table 4). 63 of 89 mutants were outcompeted by wild-type in either the spleen or liver. Finally, 41 of 89 mutants were outcompeted by wild-type in both the spleen and the liver. After comparing competitive indices determined in the cochallenges and the number of species attenuated by mutation of the genes, several fitness factor genes rose to the top of our consideration. For the spleen, these are: tatC (twin arginine transporter), ruvA [an endonuclease that resolves Holliday junctions [43]], xerC (tyrosine recombinase required for chromosomal segregation at cell division), gmhB (D,D-heptose 1,7-bisphosphate phosphatase involved in LPS synthesis), wzxE (flippase required for Enterobacterial common antigen synthesis), prc (protease involved in peptidoglycan synthesis regulation and inactivation of complement [24,44], and arcA (regulator of aerobic respiration). In the liver, a similar hierarchy of fitness factors was authenticated (tatC, gmhB, and ruvA); however, both aroC and ubiH (members of the shikimate biosynthesis pathway) were also prominent fitness factor genes for all five species and four species, respectively.

Measurement of in vitro growth rates revealed that mutation of fitness factor genes had varying influence on doubling time (Table 6 and S4 Fig). Indeed, three fourths (65 of 89) of the mutants displayed no significant growth defect during in vitro mono-culture in lysogeny broth but their corresponding transposon mutants had nevertheless been outcompeted during the course of experimental bacteremia. These mutants lacked a factor that did not inhibit successful in vitro growth but did diminish protection from the host response. On the other hand, some mutants displayed severe growth defects in mono-culture. For example, mutants in the atp operon encoding ATP synthase caused a severe in vitro growth defect by limiting the synthesis of ATP during both aerobic and anaerobic respiration. As well, ubiH and lpdA mutants also revealed significant growth defects. In contrast, wzxE and prc mutants displayed significantly faster doubling times than their wild-type strains in S. marcescens. Regardless of the in vitro growth rate of the mutant, in the original Tn-Seq screens, all 18 genes were identified as bonified hits comparing in vivo output (spleen and liver bacterial burden) to in vitro input (growth of the inoculum in lysogeny broth). It should be noted that growth in lysogeny broth likely does not recapitulate the host environment since the available nutrients clearly differ between the two milieus. While the three outcomes (no change, slower, or faster growth rates) are interesting, perhaps greater weight should be given to fitness gene mutants that display no significant in vitro growth defects but are significantly outcompeted in the mouse model. As well, emphasis could be placed on conserved genes that are not considered metabolic housekeeping genes, based on their predicted or known functions and lack of in vitro growth defects. Examples of these include the virulence factors gmhB that is important but not essential for LPS synthesis, wzxE that encodes a key enzyme (flippase) in ECA synthesis, tatC secretion of folded proteins by the twin-arginine transporter, factors providing protection against host defenses including ruvA- and xerC-mediated genome repair, and prc periplasmic protease that regulates peptidoglycan synthesis but also inactivates complement.

While this study is expansive, there are limitations that should be noted. The strategy did not allow us to examine the role of essential genes, which would have not been detected by Tn-Seq. The effects of genes directly upstream or downstream of the identified fitness genes or their operons were also not examined if not identified in the Tn-Seq assessment. Furthermore, as a practical matter, we relied on single type strains of otherwise genetically diverse species and some results may have differed if alternate strains within each species had been used for these studies. Lastly, while not all mutants were complemented, in each of eight cases where complementation was undertaken, the respective phenotype was restored to wild type values.

Integration of findings into a model of pathogenesis of Gram-negative bacteremia

To integrate the data presented in this report into a comprehensive model of bacteremia pathogenesis for these related species, we considered: 1) the results of Tn-Seq screens for five Enterobacterales species surveyed in the murine model of bacteremia (Table 1); 2) the construction of 18 mutants for all four species and 17 mutants for E. hormaechei in genes predicted as most highly attenuated in the Tn-Seq screens (Fig 2 and Table 2); 3) competitive indices and fold-defects from subsequent cochallenges of wild-type and each mutant in all five species in the murine model of bacteremia (Tables 35 and S1 and S2 Figs); and 4) relevant in vitro phenotypes for most of these mutants (Figs 310. Tables 6 and 7). Taken together, these data allowed us to formulate a working model of the pathogenic mechanisms encoded by key non-essential genes within the multi-species core genome of Gram-negative bacilli during bacteremia (Fig 11).

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Fig 11. Model of Bacterial Pathogenesis of Bacteremia by Gram-negative Bacteremia.

Seven common pathways are depicted that contribute to pathogenesis of bacteremia by five bacterial species within the Enterobacterales. Genes shared within the multi-species core genome of five bacterial species including E. coli, K. pneumoniae, S. marcescens, C. freundii, and E. hormaechei, were predicted as common fitness genes using Tn-Seq screens in a murine model of bacteremia. Prioritized mutants were constructed in 18 conserved genes or operons in all 5 species. Mice were cochallenged with each mutant and its respective wild-type strain by tail vein injection of mice. Genes that were validated in from 1–5 species as attenuated as measured by competitive indices are included in the model. Created with BioRender.com.

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This model of pathogenesis teaches us that specific core pathways shared by Gram-negative species of the Enterobacterales order are critical for infection of the mammalian bloodstream and its blood-filtering organs. First, bacteria must maintain their proton-motive force using ATP synthase to synthesize ATP using reentry of extruded protons from the periplasm into the cytosol. As well, synthesis of iron-sulfur clusters allows the maturation of cytochromes for electron transport. This implies some degree of aerobic respiration is employed by these pathogens in most cases. To that end, global regulator ArcA regulates genes associated with aerobic respiration by sensing available oxygen in conjunction with ArcB to maintain proton motive force. However, in the absence of oxygen, ArcA, with ArcB, can shift metabolism toward fermentation to survive in such an environment, a key representation of the metabolic flexibility displayed by these facultative anaerobes.

Just as critical is the role of the outer envelope to survival in the bloodstream where bacteria must resist the toxic effects of osmotic stress and complement. The protease Prc appears to protect against complement by degrading components of the system. Enterobacterial Common Antigen (ECA) also contributes to defense against complement and antimicrobial peptides. Transport also plays a crucial role by importing phosphate through the Pst ABC transporter. As well, numerous crucial folded proteins are exported across the cytoplasmic membrane by the twin-arginine transport system to maintain viability in the bloodstream. Next, shikimate biosynthesis is required for three key functions that include 1) siderophore synthesis required for iron acquisition that is mandatory for survival in an environment where free iron is tightly sequestered by the host (Fig 7); 2) quinone biosynthesis as cofactors in cytochromes for electron transport; and 3) synthesis of aromatic amino acids and folate. This pathway appears to be particularly important for survival in the liver. Bacteria must also resist oxidative stress elicited by innate immune cells including neutrophils and macrophages, which are the first line of host innate defense against infection. However, this was not directly demonstrated by resistance to H2O2 (S6 Fig). Finally, bacteria must maintain the integrity of their genome under oxidative stresses encountered specifically in the host compared to laboratory conditions.

We can also make assertions about the metabolic flexibility of these bacterial pathogens. In studies identifying the most commonly isolated Gram-negative bacilli in cases of bacteremia, at least 80% of the species are classified as facultative anaerobes with a majority being in the Enterobacterales order while P. aeruginosa and A. baumannii are strict aerobes dominating the remainder of cases [8,4547]. Among Gram-negative pathogens, we have shown that the temporal dynamic of bacteremia in the murine model differs by species and anatomical site [9]. Despite having the same “toolbox” of major metabolic pathways at their disposal and evidently utilizing rapid replication to support infection, facultative anaerobes rely on different metabolic processes to various extents in the bacteremia model here. Revisiting why facultative anaerobes cause the largest proportion of Gram-negative bacteremia cases with this perspective poses new questions. A leading hypothesis for their success is their ability to survive in the environment and in the host as a result of metabolic adaptation [48]. However, A. baumannii and P. aeruginosa are also environmental pathogens capable of successfully colonizing the bloodstream while remaining strict aerobes [49,50]. Metabolic flexibility may be beneficial in that these species can transition between metabolic pathways during infection, or they may perhaps pivot to use different pathways altogether during infection. These species are possibly better described as being “metabolically advantaged”. This notion would explain why opportunistic bacteria that are facultatively anaerobic are the most common Gram-negative pathogens in cases of bacteremia, yet do not necessarily rely on the same metabolic capabilities as one another. Nevertheless, these bacteria share many common strategies to survive in the mammalian bloodstream as highlighted by the model of pathogenesis.

Prominent examples of fitness factor phenotypes are discussed below in the context of the model of bacteremia pathogenesis where seven key pathways required for the pathogenesis of bacteremia were uncovered and validated (Fig 11).

Maintenance of proton motive force

Mutants in ATP synthase (atpIBEFHAGDC) and Iron-sulfur cluster biosynthesis (hscBA), required for cytochrome maturation, were validated in E. coli, K. pneumoniae, and S. marcescens in the spleen. Ubiquinone synthesis (ubiH), also required for cytochrome maturation and essential for electron transport was validated in E. coli, K. pneumoniae, S. marcescens, and E. hormaechei in the liver. These data suggest that the levels of aerobic growth, generating ATP via chemiosmosis, may differ in the liver compared to the spleen. While oxygen is tightly bound by hemoglobin within erythrocytes circulating in the bloodstream, we would nevertheless consider arterial blood as a milieu that would favor aerobic growth and thus these genes would support growth in this environment.

Resistance to complement and osmotic stress

Enterobacterial Common Antigen is a carbohydrate antigen composed of repeating subunits of three amino sugars including N-acetylglucosamine, N-acetyl D-mannosaminuronic acid, and 4-acetamindo-4,6-dideoxy-D-galactose [51]. This surface structure contributes to resistance to antimicrobial peptides and complement (Figs 3 and 4). wzxE mutants lacking a flippase, which translocates ECA intermediates from cytosol to periplasm, was attenuated in 4 of 5 species in the spleen and the liver, but not in C. freundii in either organ. The ECA mutant was successfully complemented for K. pneumoniae in the human serum killing assay (S5 Fig). The antigen is found in three forms including ECAPG that is covalently linked to phospholipids in the outer leaflet of the outer membrane envelope, ECALPS that is linked to the core polysaccharide of LPS in cases where O-antigen is not synthesized (i.e., in “rough” strains) and ECACYC that consists of 4–6 repeating cyclized units (depending on the species) that is localized to the periplasm [51]. ECA structure is conserved in all bacterial species within the Enterobacterales order. Synthesis of ECA may represent a target of therapy as this mutant was susceptible to human serum, osmotic stress, and/or antimicrobial peptides in four species, and bile salts for three species (Figs 3, 4, 8, and 9 and S2 Table). Eight other genes in the wec operon encoding ECA were also hit in the Tn-Seq screens (Table 2) highlighting the critical importance of this neglected cell surface antigen. Indeed, wzxE was the most highly prioritized gene and its operon was also most highly prioritized (Table 2).

The prc mutant was also validated as attenuated in multiple species and was complemented for restoration to wild type growth in hypotonic medium (S7 Fig). The periplasmic protease Prc has at least three roles in pathogenesis including regulation of cell wall synthesis, motility, and complement inactivation [23,24,44]. Prc and its homologues have also been directly demonstrated to be involved in the pathogenesis of Gram-negative bacterial infections. The prc mutant of E. coli RS218 exhibited a decreased ability to cause a high level of bacteremia [24] [as confirmed by us in four species (Tables 3 and 4)] and is more susceptible to human serum killing than strain E. coli RS218 as are the strains in this study (Fig 3 and S2 Table). This sensitivity appears due to the mutant’s decreased ability to avoid the activation of the antibody-dependent and independent classical complement cascades as well as its decreased resistance to killing mediated by the membrane attack complex [24]. Evasion of classical complement-mediated serum killing of our representative Gram-negative bacilli makes Prc a potential target for the development of therapeutic and preventive measures against Gram-negative bacteremia. Indeed, a prc mutant is also attenuated in experimental urinary tract infection and has reduced motility due to downregulation of FlhDC, the master regulator of flagellar synthesis [44]. Thus, mutation of prc understandably causes multiple deleterious effects on the fitness of Gram-negative bacilli.

In this study, gmhB was also a prominent fitness factor gene validated in all five species in the liver and 4 of 5 species in the spleen. Although it does not fit neatly in this category, it is involved in, but not essential for, LPS synthesis. As well, this mutant is susceptible to antimicrobial peptides in K. pneumoniae KPPR1 [52] and is outcompeted by wild-type during incubation in murine spleen homogenates [16]. GmhB-deficient strains produce a mixed phenotype of full-length and stunted LPS molecules [53]. Nevertheless, some lower molecular weight components of LPS are absent in a gmhB mutant [16]. In the bloodstream, bacterial surface structures such as intact LPS are critical to maintain outer membrane permeability and defense against complement and antimicrobial peptides [54]. The in vivo spleen defect of this gmhB mutant was restored by complementation with gmhB in trans [16].

Transport

The twin arginine translocation system, encoded by tatABC, functions in diverse bacterial species to secrete folded proteins across the cytoplasmic membrane. tatC mutants were attenuated in all 5 species both in the spleen and in the liver, making this transport system the most impactful shared fitness determinant identified. The tatC mutation has been successfully complemented for C. freundii UMH14 in vivo in the bacteremia model (spleen and liver) by expressing tatC in trans on a plasmid [14]. In addition, insertional inactivation of tatC rendered K. pneumoniae KPPR1 susceptible to ampicillin in vitro; complementation with tatC in trans converted the isolate back to intermediate resistance. Likewise, mutation of tatC in E. hormaechei CRE14 displayed sensitivity to piperacillin-tazobactam; complementation with tatC returned the isolate to the wild type resistant phenotype [17]. The TatBC complex binds Tat substrate proteins carrying the twin arginine motif on their signal peptides [55] with TatC recognizing the secretion signal sequences for proteins that are exported through this pathway [56]. TatA is recruited to the activated TatBC complex and mediates transport of the substrate. We have now demonstrated that S. marcescens SufI subcellular localization is TatC-dependent (Fig 5), consistent with well-established observations in E. coli and other species.

Phosphate, a critical nutrient, is imported by an ABC transporter encoded by the pstSCABphoU operon. It is well known that pst mutants are attenuated in other species [Proteus mirabilis in a biofilm and UTI model [42,57] and Campylobacter jejuni in the murine gut model of infection [58]]. Thus, we attempted to validate this finding for bacteremia by testing pstSCABphoU mutants of all five species in the murine model of bacteremia and found that two, E. coli CFT073 and E. hormaechei UM_CRE_14, were attenuated (Tables 3 and 4).

Genome maintenance

ruvA and xerC DNA recombinase mutants were both outcompeted in all 5 species by each respective wild-type strain in the spleen following cochallenge by tail vein injection (Table 3). This is notable, because chromosomal DNA in bacterial cells is subjected to constant attack from exposure to physical and chemical agents (e.g., reactive oxygen species generated by neutrophils). Bacterial cells have developed systems to repair these defects, preventing cell death or mutation. RuvABC enzyme complexes are involved in DNA recombination and repair and facilitate Holliday junction branch migration and resolution [59,60]. RuvABC repairs damage by catalyzing homologous exchanges between damaged and undamaged DNA [61]. The protein complex resolves Holliday junction intermediates produced by RecA. While the ruvA fitness defect was confirmed by competition infection against the wild-type strain using independently constructed mutants in the five species, these mutants had no defect in survival following hydrogen peroxide exposure. However, K. pneumoniae and E. coli had modest growth defects in bile salts suggesting additional stressors may impinge on the Ruv system. For C. freundii, transposon insertion in both ruvA and ruvC by transposon insertion resulted in a >30-fold loss of fitness (S2 Fig). It is tempting to speculate that bacterial DNA damage occurring in the host environment, potentially through immune cell-mediated production of reactive oxygen species, but not adequately mimicked by H2O2, may also contribute to the requirement for these complexes for full virulence.

Similarly, XerC is a site-specific recombinase that resolves multimers of plasmids and also has a role in the segregation of replicated chromosomes at cell division [62]. xerC mutants form filaments that appear unable to fully partition DNA. XerC responds to DNA damage mediated by reactive oxygen species produced by neutrophils during infection and is required for induction of the SOS response, with the result that a mutant defective in xerC is more susceptible to a range of DNA-damaging antibiotics including ciprofloxacin and immune-mediated killing [63]. xerC was validated as a fitness factor in all 5 species in the spleen and 3 of 5 species in the liver (Tables 3 and 4). Combined, XerC and RuvA provide examples of conserved fitness factors that if disrupted by a novel inhibitor, could increase the efficacy of an FDA-approved antibiotic and sensitize bacteria to stressors in the host.

Shikimate biosynthesis

Mutants in genes encoding enzymes of the shikimate pathway, aroC, and ubiH, were attenuated in multiple species (Tables 35). The aroC gene encodes chorismate synthase, which performs the terminal enzymatic step in the shikimate biosynthesis pathway to produce chorismate, a fundamental precursor for the biosynthesis of folates, aromatic amino acids, and the quinones, ubiquinone and menaquinone [64,65], which contribute to aerobic and anaerobic respiration, respectively. In addition, chorismate is also required for the biosynthesis of catecholate siderophores including enterobactin and salmochelin. In agreement with our finding that mutation of aroC attenuates bacterial fitness in a murine host during systemic infection, alleles for five of the seven enzymatic steps in the shikimate biosynthesis pathway, were predicted by Tn-Seq studies to contribute to bacterial fitness following TVI in the same murine model of bacteremia [10,11,1416]. This is also in agreement with numerous prior studies demonstrating the fundamental role of shikimate biosynthesis to bacterial pathogenesis in diverse models of disease [6669]. Fitness deficiencies resulting from mutations within the shikimate biosynthesis pathway are likely caused by the compounding effects of impaired folate biosynthesis, aromatic amino acid auxotrophy, inhibition of aerobic and anaerobic respiration, and limited iron-scavenging capacity. The attenuation of ubiH mutants for growth during systemic infection illustrates the utility of aerobic respiration for energy production in the host during bacteremia. Ubiquinone plays a vital role in the electron transport chain during aerobic respiration, allowing for the utilization of oxygen as a terminal electron acceptor [70].

Global regulation

The Arc two-component system family of bacterial transcriptional regulators, composed of sensor kinase ArcB and response regulator ArcA, senses the modulation of oxygen availability for use as an electron receptor [71]. The arcA mutant was attenuated in 4 of 5 species in both the spleen and the liver and displays a small colony phenotype (Fig 6) that has been noted by others [33,34]. The Arc system, found in facultatively anaerobic bacteria, mediates the switch from utilizing aerobic respiration to fermentation or anaerobic respiration when oxygen is not being consumed or is limited [72]. Indeed, arcA was the most attenuated fitness factor gene transposon mutant in our K. pneumoniae Tn-Seq bacteremia screen [11]. Notably, the original Tn-Seq screens did not predict arcA as a fitness gene in E. coli and this was validated by lack of attenuation in a specifically constructed arcA mutant. This suggests that E. coli is growing aerobically during bacteremia whereas K. pneumoniae, S. marcescens, and C. freundii may be, at some point during infection, undergoing fermentation during bacteremia.

In our recent work [20], arcA mutants were also found to exhibit a dysregulated response to changes in oxygen availability, iron limitation, and membrane perturbations, which bacterial cells may experience during infection. The genetic response of the arcA mutants to the cationic antimicrobial peptide polymyxin B supported an expanded role for ArcA as an activator in response to membrane damage. ArcA function was also linked to electron transport chain activity based on its response to proton motive force uncoupling by carbonylcyanide-m-chlorophenylhydrazone (CCCP).

Oxidative stress

Bacteria must resist oxidative stress elicited by innate immune cells during infection. Surprisingly, no genes predicted to enhance oxidative stress resistance (arcA, ruvA, or xerC) were required for bacterial survival following in vitro exposure to hydrogen peroxide. However, during infection, many genes may work together to enhance oxidative stress resistance. It is likely that each species has multiple mechanisms to combat this stress during infection. For example, SspA in K. pneumoniae is required for resistance to oxidative stress but was not tested in these studies [11].

Mutants not attenuated

Of the 18 bacteremia fitness loci explored in this study, only mutation of sapABCDF failed to produce a fitness defect in either the liver or spleen for at least one species. This was surprising since four of the five genes in the sap operon were hit in the Tn-seq screens, predicting a role in virulence. A proP mutant, attenuated in only one species encodes a proline/betaine transporter for osmotic protection. While proP per se was not predicted in any of the Tn-Seq experiments to be a fitness factor, its regulator proQ, which encodes an RNA-binding protein that plays a role in stabilizing sRNA-mRNA interactions, was identified. Because proQ and prc are co-transcribed, we elected to explore the contribution of proP to bacteremia fitness to avoid potential polar effects on prc expression resulting from mutation of proQ. While proP mutants were not attenuated during cochallenge, we did generate a proQ mutant in C. freundii UMH14 that was not polar on prc and found it to be significantly attenuated in the bacteremia model [Log10 competitive indices in spleen and liver were -0.169 (p < .05) and -0.502 (p < .05), respectively], supporting the Tn-Seq prediction that proQ is indeed a fitness factor.

Materials and methods

Ethics statement

Murine infections were performed in accordance with protocols approved by the University of Michigan Institutional Animal Care and Use Committee and were in accordance with Office of Laboratory Animal Welfare guidelines.

Determination of the multi-species core genome

In preparation for the current analysis described in this report, we used a pan-genome pipeline developed by our group including colleagues at the J. Craig Venter Institute along with ~15,000 sequenced genomes to identify the multispecies core genome shared by E. coli, K. pneumoniae, C. freundii, and S. marcescens. Using criteria of genes being present in four of five species and that 70% of strains of each species carried the gene, we predicted a core genome of 2850 genes shared in the multi-species core genome of these four species [17].

Scoring rubric for ranking and prioritization of fitness mutants

For the fitness genes predicted by Tn-Seq in the murine bacteremia model for each of the four bacterial species listed in Table 1 (E. hormaechei was initially excluded because Tn-Seq studies were not completed at that stage of the study), we prioritized each fitness gene for each of the four species using the Tn-Seq data, according to a scoring rubric [17], reiterated here, based on four major additive criteria: 1) the magnitude of the fitness defect associated with a gene in any one species: 3 points for fitness genes in each species’ top 20 genes; 2 points for genes ranked 21–40; and 1 point for each gene ranked 41–60; 2) a gene was a fitness factor in multiple species: 3 points for a fitness gene found in 3 or more species, 2 points if found in 2 species; 3) whether multiple fitness genes reside in the same operon: 3 points if 5–9 other fitness genes are encoded in the same operon, 2 points if 3–4 other fitness genes are encoded in the same operon, and 1 point if 1–2 other fitness factors are encoded in the same operon. An additional 1 point was awarded to fitness genes encoded in operons where >49% of the operon loci were predicted to be fitness factors; 4) mutation of a fitness gene was found to confer increased antibiotic susceptibility to any of the following antibiotics: ciprofloxacin, rifampin, vancomycin, ampicillin, sulfamethoxazole, gentamicin, or metronidazole in E. coli BW25113 [19]; 2 points for such a fitness gene. The sum of the four criteria above was used to assign individual scores for all fitness genes or found in each species pan-genome core. Operon scores were calculated by summing all the individual scores of fitness genes encode within that operon. Data are presented in Table 2.

Construction of mutants in prioritized fitness genes

Fitness gene mutations in all species were generated by lambda red recombineering using established protocols [13,14,66,73]. For C. freundii, E. coli, K. pneumoniae, and S. marcescens the nptII kanamycin resistance cassette was PCR-amplified from pKD4 [73,74] and directed to in-frame deletions of target genes via 5′-end homologous sequences (S1 Table). At least six codons on the 3′-end of each gene were left intact to preserve translatability of downstream genes when target genes were internal to a polycistronic message. Insertion sequences were matched to the transcriptional orientation of the original open reading frame. For E. hormaechei, the acc(3)IV apramycin resistance cassette was amplified from pUC18-miniTn7T-Apr [75] and used in place of kanamycin resistance. Recombination was facilitated by functions encoded on pKD46, pSIM19, or pSIM18 depending on the species mutated [73,74]. All mutations were confirmed by analyzing the sizes of PCR-amplified alleles and antibiotic resistance cassettes. In most cases mutations were further validated by sequencing. Recombineering plasmids were cured prior to phenotypic analysis. For selected mutants, complementation was achieved by either: a) cloning deleted gene sequences into pGEN-MCS (a plasmid stably maintained in these five type strains [76] during experimental infections in the absence of antibiotics) and transforming the resultant plasmid constructs into the respective mutants; or b) by allelic replacement into the chromosome with the wild-type gene.

To demonstrate complementation of prc in Citrobacter freundii UMH14 (S7 Fig), LB cultures (2 mL) supplemented with gentamicin (10 μg/mL) were inoculated from freezer stocks, maintaining the plasmids described below, and cultured for 16 h at 37° C with aeration. Stationary phase cultures were normalized to 1.0 OD600 in fresh LB medium and inoculated 1:100 in triplicate wells of a Honeycomb 2 microtiter plate (Bioscreen) containing 300 μL lysogeny broth (1% NaCl) or lysogeny broth lacking NaCl (0% NaCl). The microtiter plate was incubated at 37°C with continuous shaking and culture densities were measured every 15 m for 10 h at OD600 in a Bioscreen C growth curve analyzer. The prc complementation vector (pPrc) was generated using pBBR1MCS-5 (Vector) [77] linearized by a double restriction digest with an orientation of 5’ BamHI-HF (NEB) and 3’ EcoRI-HF (NEB). First, a vector containing the presumed native promoter (592 NT’s 5’ of proQ) and both the proQ and prc ORFs was cloned using NEBuilder HiFi DNA Assembly Master Mix (NEB) in a two-piece assembly of the digested pBBR1-mcs5 vector and a PCR product containing nucleotides 2,081,680–2,078,143 amplified using Q5 High-Fidelity DNA Polymerase (NEB) from a C. freundii UMH14 genomic DNA template. In order to eliminate the contributions of the ProQ while maintaining the genetic context of prc and its promoter a nonsense mutation was incorporated into the start codon proQ using the SPRINP method of site-directed mutagenesis [78] with Q5 High-Fidelity DNA Polymerases (NEB). The pBBR1MCS-5 and pPrc plasmids were mobilized into wildtype C. freundii UMH14 and the prc mutant using electrotransformation. Primers for pPrc construction are listed below:

Bacterial growth rates

Bacterial strains were cultured in LB medium [79] with aeration and optical density (600 nm) was measured in 10–15 min intervals using either a LogPhase 600 (Agilent) or BioScreen C (Growth Curves USA) automated growth curve system. Maximal specific growth rates and doubling times were calculated using AMiGA software [21]. Relative growth rates of each mutant were calculated for three biological replicates in comparison to a wild-type control cultured on the same microtiter plate. In addition, competition experiments were undertaken in lysogeny broth with six selected mutants versus their respective wildtype strains. Data were expressed as competitive indices.

Murine model of bacteremia

Murine infections were performed in accordance with protocols approved by the University of Michigan Institutional Animal Care and Use Committee and were in accordance with Office of Laboratory Animal Welfare guidelines. Bacteria for murine infection experiments were prepared by subculturing overnight LB growth into fresh medium and incubating for 2.5 hours. Exponential phase bacteria were collected by centrifugation and resuspended in an appropriate volume of PBS. Female 6–8-weeks old C57BL/6 mice were infected with bacterial suspension (containing the indicated number of cfu) of E. coli CFT073 (1 x 107), K. pneumoniae KPPR1 (1 x 105), S. marcescens UMH9 (5 x 106), C. freundii UMH14 (1 x 108), and E. hormaechei UM_CRE_14 (1 x 108) via tail vein injection [80], unless otherwise noted. Total inocula for the five species were based on previous trials that 1) allowed for no bottleneck in the original trials (i.e., no stochastic loss of mutants during the tail vein challenge); 2) accounted for the size and complexity of each transposon pool; and 3) avoided lethality following injection (see footnote a to Tables 3 and 4 for number of cfu in each inoculum). The spleen and liver from mice sacrificed at 24 hours post-inoculation were homogenized in PBS and ten-fold serial dilutions were plated on LB agar to determine the bacterial burden. For S. marcescens, kidneys were also used to determine bacterial burden. For competition infections, the wild-type strain was mixed with antibiotic-resistant mutant constructs at a 1:1 ratio prior to inoculation. The viable count for each strain was determined for both the inoculum (input) and organ homogenates (output) by serial dilution and differential plating on LB and LB containing antibiotics. The competitive index (CI) was calculated as follows: (CFUmutant/CFUwild-type)output/(CFUmutant/CFUwild-type)input. All murine infections were conducted using protocols approved by the University of Michigan Institutional Animal Care and Use Committee and in accordance with the Office of Laboratory Animal Welfare guidelines.

Susceptibility to ciprofloxacin

Susceptibility to ciprofloxacin was measured by disk diffusion, which was performed for wild-type strains and their respective xerC and ruvA mutants. LB was inoculated and cultured overnight at 37°C. Bacterial suspensions were normalized to an OD600 of 0.1 in accordance with the McFarland Standard Protocol [81]. Sterile swabs were used to create a bacterial lawn on Mueller-Hinton agar plates. Ciprofloxacin disks (0.5 μg) were placed in the center of each agar plate using sterile forceps. Following incubation for 18–24 hours at 37°C, the diameter of the zone of inhibition was measured according to Kirby-Bauer Disk Diffusion Susceptibility Test Protocol [82].

Susceptibility to antimicrobial peptides

CFU/ml and relative survival as compared to the wild-type strain survival was determined by incubating 107 CFU/mL log-phase bacterial cells with polymyxin B in PBS, pH 7.4 for 45 min at 37°C and then plating for viable counts on Luria agar [83,84]. See legend to Fig 3 for polymyxin B concentrations for each species.

Susceptibility to human serum

Susceptibility to bactericidal activity of human serum was measured by incubating 107 CFU/mL log-phase bacteria in 90% pooled human serum for K. pneumoniae KPPR1 and 40% pooled human serum for the other four species. Viability was measured by plating samples on Luria agar and determining CFUs after incubation times of 0 and 90 minutes. Both active serum and heat-inactivated (56°C, 60 min) serum were tested [13,16,85,86].

Siderophore production

Siderophore production was detected on chrome azurol S (CAS) plates supplemented with tryptone. Samples of overnight stationary phase cultures (2 μl) were spotted onto CAS agar plates and incubated at 37°C for 16 h. Siderophore activity was indicated by a shift from blue to yellow color within and surrounding the colonies. Gray scale image, which facilitate the detection of the blue (dark pixelation) to yellow (light pixelation) coloration in the CAS agar, was captured on a BioRad Gel Doc system with a “Coomassie Blue” setting and a white acrylic filter. Halo diameters were measured by ImageJ software as described in the legend to Fig 7. Media were prepared as described previously [87] with the sole modification of replacing 0.1% casamino acids with 1% tryptone to supplement the aromatic amino acid auxotroph inherent to mutation of aroC.

Osmotic stress

Susceptibility to osmotic stress was determined by incubating 107 CFU/ml log-phase bacteria in PBS, pH7.4 with or without 2M D-sorbitol for 30 min at 37°C and then plating for viable counts [86,88].

Oxidative stress assessed by exposure to H2O2

To determine gene contributions to oxidative stress resistance, overnight bacterial cultures were adjusted to 1x107 CFU/mL in PBS containing 1mM hydrogen peroxide. Each strain was incubated for 2 hours at 37°C, and quantitative culture was used to define the abundance of each strain at the input (t = 0) and output (t = 2) incubation. Percent survival was defined as [(CFU at t = 2)/(CFU at t = 0)] x 100. Fold change was defined as (wild-type %Survival/mutant %Survival) [11].

Envelope stress

Envelope stress sensitivity was measured by growth on MacConkey agar, a medium containing bile salts [79]. Mutants in ruvA, tatC, gmhB, and wzxE mutants and their respective wildtype strains in E. coli, K. pneumoniae, C. freundii, S. marcescens, were evaluated. Cultures were incubated at 37°C overnight, then diluted in PBS to a final concentration of 104 CFU/mL. Diluted cultures were then spread plated on MacConkey agar and LB agar in triplicate and incubated overnight at 27°C. Colonies were counted after 48 hours of incubation. The CFU on MacConkey agar was divided by the CFU on LB agar on each day and compared to the ratio of their respective WT for each day.

Phosphate import

Phosphate transport mutants constitutively express alkaline phosphatase, whereas wild-type strains do not. Bacterial strains were cultured in phosphate-limiting minimal medium. Bacterial suspensions were normalized to OD600 = 0.1. Enzyme activity was measured by following hydrolysis of 0.4% p-nitrophenylphosphate at OD405 following incubation at 37°C for 1 hr as described [42,79,89].

Twin arginine protein export

To generate the S. marcescens SufI signal peptide-GFP translational fusion, the sequence encoding amino acid residues 1 to 35 of the N-terminal end of BVG96_RS17270 [90] was PCR amplified using Q5 polymerase (NEB) and cloned via NEBuilder HiFi DNA Assembly (NEB) into plasmid pIDMv5K-J231000-Dasher-GFP-B1006, previously modified with the replacement of the kanamycin resistance gene with a gene encoding gentamycin resistance. The resultant plasmid was confirmed by sequencing and transformed into S. marcescens UMH9 and ΔtatC::nptII via electroporation. Bacteria harboring the SufI-GFP fusion or vector control plasmid were cultured to mid exponential growth phase then fixed with 4% paraformaldehyde for 20 min at 25°C, washed with an equal volume of PBS, and normalized to 1x109 CFU. Bacteria were mounted with Vectashield anti-fade medium (Vector Laboratories, Inc), and observed with a Nikon Ti2 Widefield microscope with a 100X oil immersion lens. Images were captured with an ORCA-Fusion Digital CMPS camera (Hamamatsu) and analyzed with ImageJ (Version 1.54f) to quantify cell length and fluorescence intensity (n>100).

Statistical analysis

Tests used for statistical analysis are noted in the respective footnotes to tables and figure legends. Specifically, to control for statistical significance when multiple comparisons were analyzed, Prism software (GraphPad) was used adjust calculated P values using False Discovery Rate analysis.

Supporting information

S1 Fig. Competitive Indices ± Standard Deviations in Spleen and Liver from murine tail vein cochallenges.

Fitness gene mutants were competed with wild-type bacteria in a TVI murine bacteremia model. Mice were sacrificed and bacteria were enumerated by CFU from spleen and liver homogenates 24 h after inoculation (Tables 3 and 4). Bars represent the mean of log-transformed competitive indices ± standard deviation. False discovery rates were calculated for each species independently and q values of <0.05 are indicated by an asterisk. Abbreviations: Cf, C. freundii; Eh, E. hormaechei; Ec, E. coli; Kp, K. pneumoniae; Sm, S. marcescens; ND, not determined.

https://doi.org/10.1371/journal.ppat.1012495.s001

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S2 Fig. Fold-defects of fitness gene mutants as compared to wild-type strains in the murine model of bacteremia.

Competitive indices in Tables 3 and 4 have been converted to fold-defects, averaged for all species, and depicted separately for liver and spleen. Bars represent standard deviations.

https://doi.org/10.1371/journal.ppat.1012495.s002

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S3 Fig. Competitive Indices ± Standard Deviations for S. marcescens UMH9 in the kidney following murine tail vein injection cochallenges.

Fitness gene mutants were competed with wild-type S. marcescens in a TVI murine bacteremia model. Mice were sacrificed and bacteria were enumerated by CFU from kidney homogenates 24 h after inoculation (Table 5). Bars represent the mean of log-transformed competitive indices ± standard deviation. False discovery rates resulting in q values of <0.05 are indicated by an asterisk.

https://doi.org/10.1371/journal.ppat.1012495.s003

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S4 Fig. Growth characteristics of bacteremia fitness mutants.

A-E. Relative growth rates (mutant/wild-type) and doubling times were calculated from the maximal specific growth rate in exponential phase for each mutant and wild-type strain. The statistical significance of relative growth rates was assessed by one-way ANOVA with Dunnett’s multiple comparisons test against the hypothetical value of 1 representing wild-type. Adjusted P values are indicated by asterisks: *, p<0.05; **, p<0.01; ***, p<0.001; ****, p<0.0001. Bars represent the means from three biological replicates ± the standard deviation. Wild-type controls from independent experimental plates were included for each species and set of mutants, as shown in doubling time calculations.

https://doi.org/10.1371/journal.ppat.1012495.s004

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S5 Fig. Complementation of C. freundii UMH14 prc mutant and K. pneumoniae KPPR1 wzxE (Enterobacterial Common Antigen) mutant.

In the Osmotic Stress Assay, (A) 1x107 CFU/mL C. freundii UMH14 wild type strain, its prc mutant, and its complemented mutant and (B) K. pneumoniae KPPR1 wild type strain, its wzxE mutant, and its complemented mutant were incubated with 0M or 2M D-sorbitol in PBS to induce osmotic stress for 30 min. Individual CFUs were determined after 30-minute incubation. Bacterial viability was calculated relative to 0M sorbitol. In the Serum Resistance Assay (C), 1x107 CFU/mL of K. pneumoniae KPPR1 wild type strain, its wzxE mutant, and its complemented mutant were incubated for 90 min at 37°C with heat-inactivated human serum (left) or 90% pooled human serum (right) to assay for complement-mediated killing. Viability at t = 90 min was calculated relative to t = 0 min with statistical differences in susceptibility to heat-inactivated human serum or normal human serum. Data are presented as the mean + SEM and are representative of 3 independent experiments each with 3 biological replicates. Statistical significance was assessed by an unpaired t-test (*p<0.0001).

https://doi.org/10.1371/journal.ppat.1012495.s005

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S6 Fig. Oxidative stress by exposure to H2O2.

Bacterial strains with mutations in the genes arcA, ruvA, and xerC in each species of interest were exposed to hydrogen peroxide to measure resistance to oxidative stress. Percent survival was calculated by comparing bacterial survival at 2 hours to the input. Fold change was calculated by dividing percent survival of each mutant to its respective wild-type strain. No mutant conveyed statistically significant resistance to hydrogen peroxide stress as assessed by a one-sample t-test with a hypothetical value of 1, representing survival of the wild-type strain. Data are means of 3 independent experiments.

https://doi.org/10.1371/journal.ppat.1012495.s006

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S7 Fig. Complementation of a C. freundii UMH14 prc dependent growth defect in a hypotonic medium.

C. freundii UMH14 wild-type and prc::nptII grown aerobically in either LB medium (1% NaCl LB) or a hypotonic LB medium (0% NaCl LB) maintaining either the pBBR1MCS-5 empty vector plasmid (Vector) or a pBBR1MCS-5 derivative encoding the prc locus under control of its native promoter (pprc). Representative growth curves are the mean and standard deviation (small and obscured by symbols) of technical triplicate wells derived from OD600 measurements taken every 15 m for 10 h in a plate reader.

https://doi.org/10.1371/journal.ppat.1012495.s007

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S1 Table. Primer sequences used for construction of prioritized fitness gene mutants.

https://doi.org/10.1371/journal.ppat.1012495.s008

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S2 Table. Statistically significant In vitro phenotypes of fitness gene mutants.

https://doi.org/10.1371/journal.ppat.1012495.s009

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Acknowledgments

The authors acknowledge the high level of cooperation between the four labs involved in this study. We are grateful for statistical advice from Scott Sherrill-Mix, Ph.D., faculty at Michigan State University.

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