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Dissertation Defense
Melissa Agnello
Clinical and Experimental Therapeutics
Advisor: Annie Wong-Beringer, Pharm.D.
Co-advisor: Steven Finkel, Ph.D.
Biological Impact of
Fluoroquinolone Resistance in
Pseudomonas aeruginosa
•  Ubiquitous gram-negative bacterium + opportunistic pathogen
•  Can live and adapt to a variety of habitats and cause a variety of
infections
•  Leading nosocomial cause of pneumonia1, especially ventilator-
associated pneumonia2
Pseudomonas aeruginosa
1Quartin et al. 2013; Restrepo and Anzueto 2009
2Rello et al., 2005
SEM of Pa biofilm
P. aeruginosa: Antibiotic Resistance is a
Major Public Health Concern 
•  CDC: “Serious concern that
requires prompt action”
•  IDSA: Pa is one of 6 bacteria that
pose an immediate threat to public
health
•  Multi-drug resistant (MDR) =
resistant to > 3 classes of antibiotics
•  13% of Pa infections caused by
MDR strains
•  FQs are highly effective against Pa
•  Only orally available antibiotic for
Pa infections
•  Most commonly prescribed class of
antibiotics in US1
•  Now, >30% of all strains are
resistant to the FQs2
•  Because of cross-resistance, many
FQ-resistant strains rapidly become
multi-drug resistant
Resistance to the Fluoroquinolones (FQs)
Limits Treatment Options
1Linder	
  et	
  al.	
  Am	
  J	
  	
  Med	
  2005;	
  2Rosenthal	
  et	
  al.	
  Am	
  J	
  Infect	
  Control	
  2012	
  
Neuhauser	
  et	
  al	
  2003	
  
Hsu	
  et	
  al	
  2005	
  
Mechanisms of Resistance to FQs
•  Overexpression
of efflux pumps
•  Target site
mutations:
•  Type II
Topoisomerases
GyrA/B, ParC/E
•  Point mutations in
gyrA and parC most
common
•  Leading cause of hospital pneumonia, with an attributable
mortality of 40-70%3
•  Ability to cause severe disease due to variety of virulence factors
•  Type III Secretion System (TTSS): Important virulence factor in
acute infections
•  Macro-molecular syringe apparatus
•  Injects toxins directly into host cells
•  Known toxins: ExoS, ExoU, ExoT, ExoY
•  Disrupt host cell function, lead to cell death
Pathogenicity
3Richards	
  et	
  al.	
  Crit	
  Care	
  Med	
  1999	
  
Toxins ExoU and ExoS
•  Genes encoding these toxins are mutually exclusive in most strains
•  exoS strains more prevalent: about 70% of all strains
exoU strains cause worse
disease and lead to worse
outcomes in patients
Shaver&	
  Hauser	
  2004	
  
S
exoS strain Host	
  immune	
  
cell	
  	
  
S
S S
exoU	
  strain	
  	
   Host	
  immune	
  
cell	
  	
  
U
U
U
U
U+
S+
LD50
exoU and exoS Genes Incompatible in
Same Genome
•  Pa genome made up of core
and accessory genes
•  Core genome = highly
conserved genes
•  Accessory = horizontally
acquired genes
•  Accessory genome consists
of genomic “islands”
•  exoU and chaperone spcU
located on an island
•  exoS: part of core genome
FQ-Resistance Correlates with Worse
Outcomes in Patients
•  Patients infected with FQ-resistant strains of Pa had 3 fold
higher mortality and increased persistence of disease
Hsu	
  et	
  al.	
  2005	
  JAC	
  
Are	
  FQ-­‐resistant	
  strains	
  more	
  virulent?	
  
exoU Genotype Associated with Increased
FQ-Resistance in Clinical Isolates
• Proportion of exoU-containing isolates increased as the
level of FQ- resistance increased in study of 45 strains
Wong-­‐Beringer	
  et	
  al.	
  2008	
  Clin	
  Microbiol	
  Infect	
  
Aim #1:
Confirm observed correlation of FQ-resistance and exoU
genotype in a larger collection of clinical strains
Hypothesis: Clinical isolates with the exoU genotype are
associated with FQ-resistance as well as worse disease
Combined exoU, FQ-R traits significant
risk factor for severe disease
•  Study of 218 clinical
isolates
•  Odds for development
of pneumonia:
•  exoU, FQ-R = 3.28
•  exoS, FQ-R =1.96
Sullivan, Bensman, Lou, Agnello et al. (2014) Critical Care Medicine
•  Results of analysis of
270 clinical isolates:
-  Significantly higher
proportion of exoU
strains were FQ-
resistant than exoS
strains
-  exoU strains more
likely to acquire
multiple target site
mutations, specifically
in parC
exoU strains more frequently FQ-resistant
•  Problem: exoU strains cause worse disease AND are more likely to
be resistant to the fluoroquinolones
•  Unable to use best drugs against the worst bugs
•  Research Question: Why are the more virulent exoU strains more
likely to develop resistance to FQs?
•  Central Hypothesis: exoU strains are more adaptable to the FQ-rich
clinical environment than exoS strains due to differences in fitness
•  In general, acquisition of resistance to an antibiotic is thought to be
associated with a fitness cost to the organism
•  Mutation in essential gene, plasmid or extra gene to express, etc
•  Allows bacterium to grow in presence of antibiotic, but comes at a price
•  Compensatory mutations can overcome this cost
Fitness=	
  
Capability	
  to	
  survive	
  
and	
  reproduce	
  	
  	
  
Virulence	
  
(disease-­‐
causing	
  ability)	
  	
  
Compe::ve	
  
growth	
  	
  
Aim #2:
Investigate the biological impact of FQ-resistance on the
fitness and virulence of Pa, specific to strain background
of exoU vs. exoS strains.
Hypothesis: exoU strains are more fit than exoS
strains after the acquisition of FQ-resistance
Methods  
Goal: To test the effects of FQ-resistance on the fitness
of exoU and exoS strains, focusing on a single
resistance-conferring mutation
•  What if exoU strains can overcome the fitness cost
of FQ-resistance better than exoS strains?
•  This would allow exoU strains to more readily
become FQ- resistant
Methods
1.  Created isogenic mutants from 3 clinical exoU and 3
clinical exoS isolates
Rationally designed mutants to reflect clinical populations:
•  Chose strains that had naturally acquired a mutation in gyrA
•  Inserted point mutation in parC that confers FQ-resistance
Agnello	
  &	
  Wong-­‐Beringer	
  J	
  Micro	
  Meth	
  2014	
  
Methods
Oligonucleotide recombination
§ Takes advantage of bacterial
homologous recombination
§ Allows for the introduction of site-
specific mutations directly into the
genome using synthetic ssDNA
oligos
§  Novel method adapted for use in
Pseudomonas aeruginosa
Tested fitness of parC mutants (PC*) compared to parents by
investigating:
1.  Competitive growth: Strains are tagged with fluorescent
proteins for differentiation and grown in co-culture
2.  Metabolic function: compared growth on a variety of carbon
and nitrogen substrates
3.  Virulence: expression of the type III secretion system (TTSS)
with qRT-PCR
	
  
	
  
	
  
	
  
Methods
Colonies	
  on	
  agar	
  plate	
  of	
  
strains	
  tagged	
  with	
  YFP	
  
(yellow)	
  or	
  CFP	
  (blue),	
  as	
  seen	
  
through	
  a	
  wide-­‐field	
  
microscope	
  	
  
Competition Experiments
Common method of comparing fitness:
•  Parent and mutant strains grown in same culture, start in equal
quantities
•  Every 24 h, sample of culture plated to count the number of
colonies of each strain
•  Strain that is more fit will take over the culture
Every 24 hrs
Serial dilute, plate,
and count colonies
Need to be able to differentiate the strains:
•  Inserted cassette encoding CFP or YFP into the genomes
•  Fully integrated, no need for continued selection
•  Visualize/count colonies using wide-field fluorescent
microscope	
  
Competition Experiments
Choi & Schweizer 2006
Mutation differentially affects fitness of
exoU and exoS strains
Metabolic Microarray
•  Allows measurement of
metabolic utilization of
different substrates
•  Each well of 96 well plate
contains different carbon or
nitrogen substrate
•  Strains grow in the wellsà
induce color change that is
quantified
Effect of parC Mutation on Nitrogen Utilization
Differs for exoU vs. exoS Strains
parC mutation may differentially affect
the ability of exoS strains and exoU
strains to live and cause disease under
low-oxygen conditions
o2
exoU-PC* exoS-PC*
# of substrates
increased vs.
parents
44 24
# of substrates
decreased vs.
parents
53 69
parC Mutation Increases Expression of Type III
Secretion System for exoU Strains Only
PcrV: essential
component of the
needle complex
pcrV	
  Expression	
  	
  
exoU exoS
PcrV (cap protein)
Bacterial	
  cell	
  	
   Host	
  cell	
  	
  
Summary of Fitness Effects of parC mutation
•  Competitive growth
•  Ability to grow on
nitrogen substrates
•  Virulence expression
exoU-PC*
•  Competitive growth
•  Ability to grow on
nitrogen substrates
•  Virulence expression
exoS-PC*
•  Suggests less of a fitness cost of FQ-resistance for
exoU strains
•  Explains predominance of exoU strains in FQ-
resistant clinical population
Supercoiling Regulation May Explain Fitness
Differences
•  Bacterial chromosome exists in condensed,
supercoiled state
•  Supercoiling level in constant flux
•  Topoisomerase enzymes (GyrA, ParC) regulate
supercoiling levels
•  parC mutation may differentially affect ability of
exoU and exoS strains to regulate supercoiling
•  Supercoiling perturbations can have global effects
on gene expression
exoU-PC* Mutants Can Better Maintain Wild-
Type Supercoiling Levels
•  Inserted cassette with
lux operon under the
control of a
supercoiling-sensitive
promoter
•  Induced max
expression of the
promoter by incubating
with levofloxacin
•  Measured
luminescence
Compensation for Fitness Costs of parC
Mutation
Goal: To investigate whether stable changes occurred
during competition that affect fitness
Competition
PC* vs. Parent
	
  	
  
	
  	
  
	
  	
   	
  	
  
	
  	
  
	
  	
  
	
  	
   	
  	
   	
  	
  	
  	
  
	
  	
  
Day 7
	
  	
  
	
  	
  
Collection of
PC* and parent
colonies
“Aged”
strains frozen
and saved
Dramatic Difference in Fitness of exoU vs.
exoS Aged PC* Strains
Competed Aged vs. Un-Aged
to investigate if fitness
changed after aging
37-PC
*
92-PC
*
-4
-2
0
2
4
6
8
Fold
139-PC
*
215-PC
*
-150
-100
-50
0
Fold
Fold Change in Fitness After Aging
exoU exoS
•  exoU strainsà compensate for fitness costs
•  exoS strainsà fitness costs amplified
Effect of Sub-inhibitory FQ Exposure on Fitness
Competition
PC* vs. Parent
	
  	
  
	
  	
  
	
  	
   	
  	
  
	
  	
  
	
  	
  
	
  	
   	
  	
   	
  	
  	
  	
  
	
  	
  
Day 7
	
  	
  
	
  	
  
Collection of
PC* and parent
colonies
“Aged” strains
frozen and saved
+ 1/8x MIC LVX
•  Collected aged strains from competition experiment with low level of
levofloxacin (LVX)
•  Competed Aged strain from LVX competition vs. Un-Aged, under exposure
to same amount of LVX
•  exoU-PC* strains had increased fitness in this subsequent exposure to
drug
Effect of Sub-inhibitory FQ Exposure on Fitness
Fold Change in Fitness After Aging
exoU exoS
Summary
•  exoU-PC* strains can better maintain wild-type supercoiling
levels than exoS-PC* strains
•  exoU-PC* aged strains have a compensated phenotype
•  Suggests exoU strains are compensating for fitness costs associated
with parC mutation
•  exoU strains collected from competition experiment under sub-
inhibitory concentrations of FQ have increased fitness
•  Low levels of antibiotic can select for highly fit strains
Investigating Fitness in the Host
•  Important to investigate fitness in clinically relevant environment
•  Using an established mouse model of acute pneumonia
•  Mice are intranasally infected; rapid inhalation of bacteria into
the lungs
•  Male, C57/BL6 mice 6-8 weeks old
•  Mice co-infected with equal amounts of parent and mutant strain
•  After 18 hours, lungs removed, homogenized, and plated
•  Colonies of each strain counted
Investigating Fitness in the Host
Mutant: Parent Ratios in Lungs
•  Ra:os	
  <	
  1	
  =	
  mutant	
  
less	
  fit	
  
•  More	
  exoU	
  mice	
  with	
  
ra:os	
  over	
  1	
  than	
  
exoS	
  mice	
  	
  
Effect of the parC Mutation on Fitness in the Lungs
exoU exoS
Averages	
  (n=5)	
   Results	
  in	
  individual	
  mice	
  
Conclusions and Significance
•  Clinical strains with the exoU background are more likely to be
FQ-resistant and cause worse disease in patients
•  In general, we found less of a fitness cost of FQ-resistance
mutation in parC for exoU strainsà less of a barrier to acquiring
resistance for exoU strains
•  exoU strains are able to compensate for fitness costs
•  Explains predominance of exoU strains in FQ-resistant clinical
population
•  Implication: In the clinical setting, FQ prescribing will select for highly
virulent exoU, FQ-resistant strains due to their enhanced fitness
compared to exoS strains
•  Indiscriminant prescribing selects for both resistant and highly virulent Pa strains
that cause more severe disease and worse outcomes
•  Fitness advantage of FQ-resistant exoU strains allows them to predominate in
the clinical environment even in the absence of antibiotic
•  Further underscores the dangers of antibiotic resistance and the
need for prudent use of antibiotics
•  Our experimental plan is a model for studying the biological impact of
resistance on an important pathogen
•  Understanding fitness costs and mechanisms of compensation is
essential for rational development of novel strategies to combat
antibiotic resistance
Conclusions and Significance
•  Investigate virulence of exoU vs. exoS FQ-
resistant strains in vivo using the mouse model of
pneumonia
•  Determine if fitness differences extend to
different abilities to injure the lungs and cause
disease
•  Using whole body in vivo imaging, can monitor
progression of infection
•  All strains fluorescently taggedà allows live imaging
•  Using imaging during co-infection: can determine if
spatial differences in exoU vs. exoS or mutant vs.
parent strains
Future Directions
Future Directions
•  Next step is to investigate the specific genomic differences between
exoU and exoS strains that may account for fitness differences
observed
•  exoU gene part of accessory genomeà located on various pathogenicity
islands
•  Accessory genome may provide fitness benefit to exoU strains
•  Perform whole genome sequencingà to compare accessory and
core genomes of each strain and correlate with fitness phenotypes
•  Follow with RNA-sequencingà compare the effects of the parC
mutation on the expression of important virulence and metabolic
pathways in exoU vs. exoS strains
Acknowledgements
PhD Advisor: Annie Wong-Beringer, PharmD
Co-­‐advisor:	
  	
  Steven	
  Finkel,	
  PhD	
  
Labmates:
Jason Yamaki, Pharm.D., Ph.D.
Tim Bensman, Pharm.D, Ph.D. Candidate
Rachel Reyes
Kristy Trinh
Undergraduate Research Fellow:
Nicole Schrad
Volunteers:
Nick Nuno
Namrah Ayub
Caitlyn Young
Susana Petrosyan
Juliana Brondani
Christine Vu
Lorena Ulloa
Vivian Lee
Faculty Committee:
Paul Beringer, Pharm.D.
Kathleen Rodgers, Ph.D.
Roger Duncan, Ph.D.
Ronald Alkana, Ph.D.
Support:
TL1 Pre-doctoral Award (SC-CTSI)
NIAID grant to Annie Wong-Beringer
Technical Microscope Assistance:
Seth Ruffins, Ph.D.
SC-CTSI, ECDE:
Cecilia Patino-Sutton, M.D., Ph.D.
Jonathan Samet, M.D., M.S.
Emil Bogenmann, Ph.D., Ed.D.
“The future of humanity and microbes likely will
unfold as episodes of a suspense thriller that
could be titled Our Wits Versus Their Genes.”
-Joshua Lederberg

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Defense_Final_Version

  • 1. Dissertation Defense Melissa Agnello Clinical and Experimental Therapeutics Advisor: Annie Wong-Beringer, Pharm.D. Co-advisor: Steven Finkel, Ph.D. Biological Impact of Fluoroquinolone Resistance in Pseudomonas aeruginosa
  • 2. •  Ubiquitous gram-negative bacterium + opportunistic pathogen •  Can live and adapt to a variety of habitats and cause a variety of infections •  Leading nosocomial cause of pneumonia1, especially ventilator- associated pneumonia2 Pseudomonas aeruginosa 1Quartin et al. 2013; Restrepo and Anzueto 2009 2Rello et al., 2005 SEM of Pa biofilm
  • 3. P. aeruginosa: Antibiotic Resistance is a Major Public Health Concern •  CDC: “Serious concern that requires prompt action” •  IDSA: Pa is one of 6 bacteria that pose an immediate threat to public health •  Multi-drug resistant (MDR) = resistant to > 3 classes of antibiotics •  13% of Pa infections caused by MDR strains
  • 4. •  FQs are highly effective against Pa •  Only orally available antibiotic for Pa infections •  Most commonly prescribed class of antibiotics in US1 •  Now, >30% of all strains are resistant to the FQs2 •  Because of cross-resistance, many FQ-resistant strains rapidly become multi-drug resistant Resistance to the Fluoroquinolones (FQs) Limits Treatment Options 1Linder  et  al.  Am  J    Med  2005;  2Rosenthal  et  al.  Am  J  Infect  Control  2012   Neuhauser  et  al  2003   Hsu  et  al  2005  
  • 5. Mechanisms of Resistance to FQs •  Overexpression of efflux pumps •  Target site mutations: •  Type II Topoisomerases GyrA/B, ParC/E •  Point mutations in gyrA and parC most common
  • 6. •  Leading cause of hospital pneumonia, with an attributable mortality of 40-70%3 •  Ability to cause severe disease due to variety of virulence factors •  Type III Secretion System (TTSS): Important virulence factor in acute infections •  Macro-molecular syringe apparatus •  Injects toxins directly into host cells •  Known toxins: ExoS, ExoU, ExoT, ExoY •  Disrupt host cell function, lead to cell death Pathogenicity 3Richards  et  al.  Crit  Care  Med  1999  
  • 7. Toxins ExoU and ExoS •  Genes encoding these toxins are mutually exclusive in most strains •  exoS strains more prevalent: about 70% of all strains exoU strains cause worse disease and lead to worse outcomes in patients Shaver&  Hauser  2004   S exoS strain Host  immune   cell     S S S exoU  strain     Host  immune   cell     U U U U U+ S+ LD50
  • 8. exoU and exoS Genes Incompatible in Same Genome •  Pa genome made up of core and accessory genes •  Core genome = highly conserved genes •  Accessory = horizontally acquired genes •  Accessory genome consists of genomic “islands” •  exoU and chaperone spcU located on an island •  exoS: part of core genome
  • 9. FQ-Resistance Correlates with Worse Outcomes in Patients •  Patients infected with FQ-resistant strains of Pa had 3 fold higher mortality and increased persistence of disease Hsu  et  al.  2005  JAC   Are  FQ-­‐resistant  strains  more  virulent?  
  • 10. exoU Genotype Associated with Increased FQ-Resistance in Clinical Isolates • Proportion of exoU-containing isolates increased as the level of FQ- resistance increased in study of 45 strains Wong-­‐Beringer  et  al.  2008  Clin  Microbiol  Infect  
  • 11. Aim #1: Confirm observed correlation of FQ-resistance and exoU genotype in a larger collection of clinical strains Hypothesis: Clinical isolates with the exoU genotype are associated with FQ-resistance as well as worse disease
  • 12. Combined exoU, FQ-R traits significant risk factor for severe disease •  Study of 218 clinical isolates •  Odds for development of pneumonia: •  exoU, FQ-R = 3.28 •  exoS, FQ-R =1.96 Sullivan, Bensman, Lou, Agnello et al. (2014) Critical Care Medicine
  • 13. •  Results of analysis of 270 clinical isolates: -  Significantly higher proportion of exoU strains were FQ- resistant than exoS strains -  exoU strains more likely to acquire multiple target site mutations, specifically in parC exoU strains more frequently FQ-resistant
  • 14. •  Problem: exoU strains cause worse disease AND are more likely to be resistant to the fluoroquinolones •  Unable to use best drugs against the worst bugs •  Research Question: Why are the more virulent exoU strains more likely to develop resistance to FQs? •  Central Hypothesis: exoU strains are more adaptable to the FQ-rich clinical environment than exoS strains due to differences in fitness
  • 15. •  In general, acquisition of resistance to an antibiotic is thought to be associated with a fitness cost to the organism •  Mutation in essential gene, plasmid or extra gene to express, etc •  Allows bacterium to grow in presence of antibiotic, but comes at a price •  Compensatory mutations can overcome this cost Fitness=   Capability  to  survive   and  reproduce       Virulence   (disease-­‐ causing  ability)     Compe::ve   growth    
  • 16. Aim #2: Investigate the biological impact of FQ-resistance on the fitness and virulence of Pa, specific to strain background of exoU vs. exoS strains. Hypothesis: exoU strains are more fit than exoS strains after the acquisition of FQ-resistance
  • 17. Methods   Goal: To test the effects of FQ-resistance on the fitness of exoU and exoS strains, focusing on a single resistance-conferring mutation •  What if exoU strains can overcome the fitness cost of FQ-resistance better than exoS strains? •  This would allow exoU strains to more readily become FQ- resistant
  • 18. Methods 1.  Created isogenic mutants from 3 clinical exoU and 3 clinical exoS isolates Rationally designed mutants to reflect clinical populations: •  Chose strains that had naturally acquired a mutation in gyrA •  Inserted point mutation in parC that confers FQ-resistance Agnello  &  Wong-­‐Beringer  J  Micro  Meth  2014  
  • 19. Methods Oligonucleotide recombination § Takes advantage of bacterial homologous recombination § Allows for the introduction of site- specific mutations directly into the genome using synthetic ssDNA oligos §  Novel method adapted for use in Pseudomonas aeruginosa
  • 20. Tested fitness of parC mutants (PC*) compared to parents by investigating: 1.  Competitive growth: Strains are tagged with fluorescent proteins for differentiation and grown in co-culture 2.  Metabolic function: compared growth on a variety of carbon and nitrogen substrates 3.  Virulence: expression of the type III secretion system (TTSS) with qRT-PCR         Methods Colonies  on  agar  plate  of   strains  tagged  with  YFP   (yellow)  or  CFP  (blue),  as  seen   through  a  wide-­‐field   microscope    
  • 21. Competition Experiments Common method of comparing fitness: •  Parent and mutant strains grown in same culture, start in equal quantities •  Every 24 h, sample of culture plated to count the number of colonies of each strain •  Strain that is more fit will take over the culture Every 24 hrs Serial dilute, plate, and count colonies
  • 22. Need to be able to differentiate the strains: •  Inserted cassette encoding CFP or YFP into the genomes •  Fully integrated, no need for continued selection •  Visualize/count colonies using wide-field fluorescent microscope   Competition Experiments Choi & Schweizer 2006
  • 23. Mutation differentially affects fitness of exoU and exoS strains
  • 24. Metabolic Microarray •  Allows measurement of metabolic utilization of different substrates •  Each well of 96 well plate contains different carbon or nitrogen substrate •  Strains grow in the wellsà induce color change that is quantified
  • 25. Effect of parC Mutation on Nitrogen Utilization Differs for exoU vs. exoS Strains parC mutation may differentially affect the ability of exoS strains and exoU strains to live and cause disease under low-oxygen conditions o2 exoU-PC* exoS-PC* # of substrates increased vs. parents 44 24 # of substrates decreased vs. parents 53 69
  • 26. parC Mutation Increases Expression of Type III Secretion System for exoU Strains Only PcrV: essential component of the needle complex pcrV  Expression     exoU exoS PcrV (cap protein) Bacterial  cell     Host  cell    
  • 27. Summary of Fitness Effects of parC mutation •  Competitive growth •  Ability to grow on nitrogen substrates •  Virulence expression exoU-PC* •  Competitive growth •  Ability to grow on nitrogen substrates •  Virulence expression exoS-PC* •  Suggests less of a fitness cost of FQ-resistance for exoU strains •  Explains predominance of exoU strains in FQ- resistant clinical population
  • 28. Supercoiling Regulation May Explain Fitness Differences •  Bacterial chromosome exists in condensed, supercoiled state •  Supercoiling level in constant flux •  Topoisomerase enzymes (GyrA, ParC) regulate supercoiling levels •  parC mutation may differentially affect ability of exoU and exoS strains to regulate supercoiling •  Supercoiling perturbations can have global effects on gene expression
  • 29. exoU-PC* Mutants Can Better Maintain Wild- Type Supercoiling Levels •  Inserted cassette with lux operon under the control of a supercoiling-sensitive promoter •  Induced max expression of the promoter by incubating with levofloxacin •  Measured luminescence
  • 30. Compensation for Fitness Costs of parC Mutation Goal: To investigate whether stable changes occurred during competition that affect fitness Competition PC* vs. Parent                                             Day 7         Collection of PC* and parent colonies “Aged” strains frozen and saved
  • 31. Dramatic Difference in Fitness of exoU vs. exoS Aged PC* Strains Competed Aged vs. Un-Aged to investigate if fitness changed after aging 37-PC * 92-PC * -4 -2 0 2 4 6 8 Fold 139-PC * 215-PC * -150 -100 -50 0 Fold Fold Change in Fitness After Aging exoU exoS •  exoU strainsà compensate for fitness costs •  exoS strainsà fitness costs amplified
  • 32. Effect of Sub-inhibitory FQ Exposure on Fitness Competition PC* vs. Parent                                             Day 7         Collection of PC* and parent colonies “Aged” strains frozen and saved + 1/8x MIC LVX •  Collected aged strains from competition experiment with low level of levofloxacin (LVX)
  • 33. •  Competed Aged strain from LVX competition vs. Un-Aged, under exposure to same amount of LVX •  exoU-PC* strains had increased fitness in this subsequent exposure to drug Effect of Sub-inhibitory FQ Exposure on Fitness Fold Change in Fitness After Aging exoU exoS
  • 34. Summary •  exoU-PC* strains can better maintain wild-type supercoiling levels than exoS-PC* strains •  exoU-PC* aged strains have a compensated phenotype •  Suggests exoU strains are compensating for fitness costs associated with parC mutation •  exoU strains collected from competition experiment under sub- inhibitory concentrations of FQ have increased fitness •  Low levels of antibiotic can select for highly fit strains
  • 35. Investigating Fitness in the Host •  Important to investigate fitness in clinically relevant environment •  Using an established mouse model of acute pneumonia •  Mice are intranasally infected; rapid inhalation of bacteria into the lungs •  Male, C57/BL6 mice 6-8 weeks old
  • 36. •  Mice co-infected with equal amounts of parent and mutant strain •  After 18 hours, lungs removed, homogenized, and plated •  Colonies of each strain counted Investigating Fitness in the Host
  • 37. Mutant: Parent Ratios in Lungs •  Ra:os  <  1  =  mutant   less  fit   •  More  exoU  mice  with   ra:os  over  1  than   exoS  mice     Effect of the parC Mutation on Fitness in the Lungs exoU exoS Averages  (n=5)   Results  in  individual  mice  
  • 38. Conclusions and Significance •  Clinical strains with the exoU background are more likely to be FQ-resistant and cause worse disease in patients •  In general, we found less of a fitness cost of FQ-resistance mutation in parC for exoU strainsà less of a barrier to acquiring resistance for exoU strains •  exoU strains are able to compensate for fitness costs •  Explains predominance of exoU strains in FQ-resistant clinical population
  • 39. •  Implication: In the clinical setting, FQ prescribing will select for highly virulent exoU, FQ-resistant strains due to their enhanced fitness compared to exoS strains •  Indiscriminant prescribing selects for both resistant and highly virulent Pa strains that cause more severe disease and worse outcomes •  Fitness advantage of FQ-resistant exoU strains allows them to predominate in the clinical environment even in the absence of antibiotic •  Further underscores the dangers of antibiotic resistance and the need for prudent use of antibiotics •  Our experimental plan is a model for studying the biological impact of resistance on an important pathogen •  Understanding fitness costs and mechanisms of compensation is essential for rational development of novel strategies to combat antibiotic resistance Conclusions and Significance
  • 40. •  Investigate virulence of exoU vs. exoS FQ- resistant strains in vivo using the mouse model of pneumonia •  Determine if fitness differences extend to different abilities to injure the lungs and cause disease •  Using whole body in vivo imaging, can monitor progression of infection •  All strains fluorescently taggedà allows live imaging •  Using imaging during co-infection: can determine if spatial differences in exoU vs. exoS or mutant vs. parent strains Future Directions
  • 41. Future Directions •  Next step is to investigate the specific genomic differences between exoU and exoS strains that may account for fitness differences observed •  exoU gene part of accessory genomeà located on various pathogenicity islands •  Accessory genome may provide fitness benefit to exoU strains •  Perform whole genome sequencingà to compare accessory and core genomes of each strain and correlate with fitness phenotypes •  Follow with RNA-sequencingà compare the effects of the parC mutation on the expression of important virulence and metabolic pathways in exoU vs. exoS strains
  • 42. Acknowledgements PhD Advisor: Annie Wong-Beringer, PharmD Co-­‐advisor:    Steven  Finkel,  PhD   Labmates: Jason Yamaki, Pharm.D., Ph.D. Tim Bensman, Pharm.D, Ph.D. Candidate Rachel Reyes Kristy Trinh Undergraduate Research Fellow: Nicole Schrad Volunteers: Nick Nuno Namrah Ayub Caitlyn Young Susana Petrosyan Juliana Brondani Christine Vu Lorena Ulloa Vivian Lee Faculty Committee: Paul Beringer, Pharm.D. Kathleen Rodgers, Ph.D. Roger Duncan, Ph.D. Ronald Alkana, Ph.D. Support: TL1 Pre-doctoral Award (SC-CTSI) NIAID grant to Annie Wong-Beringer Technical Microscope Assistance: Seth Ruffins, Ph.D. SC-CTSI, ECDE: Cecilia Patino-Sutton, M.D., Ph.D. Jonathan Samet, M.D., M.S. Emil Bogenmann, Ph.D., Ed.D.
  • 43. “The future of humanity and microbes likely will unfold as episodes of a suspense thriller that could be titled Our Wits Versus Their Genes.” -Joshua Lederberg