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The Microbiome of Research Animals
Implications for Reproducibility,
Translatability, and Discovery
Aaron Ericsson, DVM, PhD
21 March 2018
The Microbiome
• Resident microbial communities
• Bacteria/archaea
• Viruses/phages
• Fungi
• Eukaryotes?
• Changes in composition associated
with myriad conditions
• Animal models allow:
• Defined time-course
• Controlled genetics and environment
https://play.google.com/store/apps/details?id=io.appery.project438057
The Rodent Microbiome
Krych et al. (2013) PLoS One 8(5): e62578
See also Ley et al. (2005) PNAS 102 (31): 11070
Number of GM taxa shared between
humans and mice at the level of
phylum (A) and genus (B)
Factors affecting the Gut Microbiota
Ericsson and Franklin (2017) Lab Animal, 46(4): 114-122.
Implications for Reproducibility
Wolf et al. (2014) J Histochem Cytochem 62(4): 237-250.
Acidified water significantly reduced disease phenotype
Implications for Translatability
Ledford, H. (2011) Nature 477: 526-528.Reese et al. 2016 Cell Host Microbe 19(5): 713-719.
Before you even start the study…
Animal Supplier Your InstitutionShipping
Rederivation?
Quarantine?
Barrier or conventional?
Facility? Isolator?
Temperature control?
Food source?
Husbandry?
Variables within variables!
Ericsson et al. (2015) PLOS One 10(2): e0116704.
But does it matter?
B6 IL-10-/-
(GMCRL)
Pups: B6 IL-10-/-
(GMJAX)
B6 IL-10-/-
(GMTAC)
Hart et al. (2017) Frontiers in Microbiol 8: 792.
IL-10-/- on C57BL/6J Background
GMCRL GMJAX GMTAC
GMCRL GMJAX GMTAC
Coloniclesionscore
OTUrelativeabundance
Cecallesionscore
GMCRL GMJAX GMTAC
Hart et al. (2017) Frontiers in Microbiol 8: 792.
IL-10-/- on C3H/HeJ Background
GMCRL GMJAX GMTAC
GMCRL GMJAX GMTAC
ColoniclesionscoreCecallesionscore
OTUrelativeabundance
GMCRL GMJAX GMTAC
Hart et al. (2017) Frontiers in Microbiol 8: 792.
Controlling for Maternal Factors
CD1CD1
CD1GMCRL CD1GMJAX CD1GMTAC
Outbred CD1 colonies with four stable profiles now in 18th generation
Inbred FVB colonies with four stable profiles now in 11th generation
Supplier-specific Microbiota
GMJAX GMTAC GMCRL GMHSD
Hart et al. (manuscript in preparation)
Supplier-specific Microbiota
PC1 — 30.9% variation
PC2—15.9%variation
CD1GMJAX
CD1GMTAC
CD1GMCRL
CD1GMHSD
ObservedOTUs
0
5 0
1 0 0
1 5 0
2 0 0
a,b,c
a,d b,e
c,d,e
2 .5
3 .0
3 .5
4 .0
4 .5
5 .0
ShannonIndex
a,b,c
a,d b,d
c
Hart et al. (manuscript in preparation)
Do they travel well? Yes!
Hart et al. (manuscript in preparation)
Contribution of GM vs. Genetics?
J AX -A P C
m in
C C -A P C
m in
0
5 0
1 0 0
1 5 0
2 0 0
S m a ll In te s tin a l T u m o r N u m b e r
A P C
m i n
C o lo n y
TumorNumber
P < 0 .0 0 0 1
J AX -A P C
m in
C C -A P C
m in
0
2
4
6
8
C o lo n ic T u m o r N u m b e r
A P C
m i n
C o lo n y
TumorNumber
P < 0 .0 001
p < 0.0001 p < 0.0001
Data courtesy of Jim Amos-Landgraf and Jake Moskowitz
C57BL/6J-APCmin/+ CC-APCmin/+
C57BL/6J-APCmin/+ CC-APCmin/+
Contribution of GM vs. Genetics
J A X -A P C
m in
(G M J A X )
J A X -A P C
m in
(G M H S D )
C C -A P C
m in
(G M J A X )
C C -A P C
m in
(G M H S D )
0
5 0
1 0 0
1 5 0
2 0 0
G e n e tic B a c k g ro u n d a n d G M e ffe c ts
o n S I T u m o r C o u n ts
A P C
m in
C olony
TumorNumber
*
*
J A X -A P C
m in
(G M J A X )
J A X -A P C
m in
(G M H S D )
C C -A P C
m in
(G M J A X )
C C -A P C
m in
(G M H S D )
0
2
4
6
G e n e tic B a c k g ro u n d a n d G M e ffe c ts
o n C o lo n ic T u m o r C o u n ts
A P C
m in
C olony
TumorNumber
*
Data courtesy of Jim Amos-Landgraf and Jake Moskowitz
C57BL/6J-APCmin/+ CC-APCmin/+ C57BL/6J-APCmin/+ CC-APCmin/+
GMJAX GMHSD GMJAX GMHSD GMJAX GMHSD GMJAX GMHSD
Small intestines Colon
Proof-of-concept in Rat Model of CRC
Ericsson et al. (2015) Oncotarget 6(32):33689-33704.
Tumor Development in Pirc Rats
Ericsson et al. (2015) Oncotarget 6(32):33689-33704.
So you don’t work with GI models?
GM influence on behavior
Locomotor activity
Elevatedplusmaze
Marbleburying
Forcedswim
Marble Burying
0
2 0
4 0
6 0
8 0
Latencytobury(s)
0
1 0 0
2 0 0
3 0 0
Totalburyingduration
(s)
0
5
1 0
1 5
Totalmarblesburied
Marble Burying
CD1GM TAC
CD1GM JAX
BTBR T+Itpr3tf/J
Novel object
Stranger mouse
Data courtesy of Marcia Hart
Differences during development
Cecal contents Feces
Lactobacillus spp.
Streptococcus spp.
Family Enterobacteriaceae
Family Pasteurellaceae
Aggregatibacter segnis
Reproducibility at odds with Translatability?
GMJAX GMHSD GMPetStore
Argument for “dirty” mice
Beura et al. 2016 Nature 532: 512-518.
Naive Ag-exp’d
Argument for “dirty” mice
Reese et al. 2016 Cell Host Microbe 19(5): 713-719.
Baldridge et al. (2015) Science 347:266
Chou et al. (2015) PNAS 112:2175
See also Muraille, E. (2016) Frontiers in Microbiol 6:1525.
Xenobiotics and ADME
Koppel et al. (2017) Science 356:2770.
Summary
• Many variables can alter the microbiota of research
animals
• Animal source and rederivation
• Husbandry-related factors
• Changes in the microbiota can cause change or loss of
phenotype
• There are several methods, including targeted
rederivation, of manipulating the microbiota
• “Dirty” mice may represent more translatable models but
the presence of possible pathogens presents a challenge
• MMRRC, RRRC, and MUMC can help researchers
Acknowledgements
NIH 2U42 OD010918-16
NIH P40 OD011062-13
Mizzou Advantage – One Health
MU DNA Core
MU Informatics Research Core
MU Comparative Medicine Program
Equilibration post-shipping
-0,2
-0,1
0
0,1
0,2
0,3
0,4
0,5
-0,5 -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4 0,5
PC1 – 38.39% variation
PC2–12.00%variation
Pre-ship
and arrival
d2
d5
d7 (blue) and
d30 (green)
C57BL/6J BALB/cJ
-0,4
-0,3
-0,2
-0,1
0
0,1
0,2
0,3
0,4
-0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4 0,5
PC1 – 31.82% variation
PC2–13.06%variation
Pre-ship
Arrival
d2d5
d7 (blue) and
d30 (green)
GM equilibrates at 1 to 2 weeks post-shipping
Montonye et al. (manuscript in preparation)
Quarantine has minimal effectC57BL/6NHsdC57BL/6J
Korte et al. (manuscript in preparation)
Bedding and caging affect cecal microbiota
Ericsson et al. (manuscript under review)
Bedding and H2O treatment matter
• Environmental factors (e.g.,
caging, bedding, water treatment)
can significantly affect GM
• Factors can have synergistic effects
• Factors can have “upstream”
effects that are muted in fecal
communities
Bidot et al. (manuscript in preparation)
Common antibiotic treatments
Topical “triple antibiotic” (TAB) and oral enrofloxacin have long-lasting effects on GM
Development of Production Colonies
Rederivation in ASF-colonized surrogates Production colony
Data courtesy of Jeff Lohmiller (Taconic)
Sample to Insight
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Q&A session
For up-to-date licensing information and product-specific disclaimers for QIAGEN products, see the respective
QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com
or can be requested from QIAGEN Technical Services or your local distributor.
Questions?
Thank you to our speaker for the informative presentation!

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The Microbiome of Research Animals : Implications for Reproducibility, Translatability, and Discovery

  • 1. The Microbiome of Research Animals Implications for Reproducibility, Translatability, and Discovery Aaron Ericsson, DVM, PhD 21 March 2018
  • 2. The Microbiome • Resident microbial communities • Bacteria/archaea • Viruses/phages • Fungi • Eukaryotes? • Changes in composition associated with myriad conditions • Animal models allow: • Defined time-course • Controlled genetics and environment https://play.google.com/store/apps/details?id=io.appery.project438057
  • 3. The Rodent Microbiome Krych et al. (2013) PLoS One 8(5): e62578 See also Ley et al. (2005) PNAS 102 (31): 11070 Number of GM taxa shared between humans and mice at the level of phylum (A) and genus (B)
  • 4. Factors affecting the Gut Microbiota Ericsson and Franklin (2017) Lab Animal, 46(4): 114-122.
  • 5. Implications for Reproducibility Wolf et al. (2014) J Histochem Cytochem 62(4): 237-250. Acidified water significantly reduced disease phenotype
  • 6. Implications for Translatability Ledford, H. (2011) Nature 477: 526-528.Reese et al. 2016 Cell Host Microbe 19(5): 713-719.
  • 7. Before you even start the study… Animal Supplier Your InstitutionShipping Rederivation? Quarantine? Barrier or conventional? Facility? Isolator? Temperature control? Food source? Husbandry?
  • 8. Variables within variables! Ericsson et al. (2015) PLOS One 10(2): e0116704.
  • 9. But does it matter? B6 IL-10-/- (GMCRL) Pups: B6 IL-10-/- (GMJAX) B6 IL-10-/- (GMTAC) Hart et al. (2017) Frontiers in Microbiol 8: 792.
  • 10. IL-10-/- on C57BL/6J Background GMCRL GMJAX GMTAC GMCRL GMJAX GMTAC Coloniclesionscore OTUrelativeabundance Cecallesionscore GMCRL GMJAX GMTAC Hart et al. (2017) Frontiers in Microbiol 8: 792.
  • 11. IL-10-/- on C3H/HeJ Background GMCRL GMJAX GMTAC GMCRL GMJAX GMTAC ColoniclesionscoreCecallesionscore OTUrelativeabundance GMCRL GMJAX GMTAC Hart et al. (2017) Frontiers in Microbiol 8: 792.
  • 12. Controlling for Maternal Factors CD1CD1 CD1GMCRL CD1GMJAX CD1GMTAC Outbred CD1 colonies with four stable profiles now in 18th generation Inbred FVB colonies with four stable profiles now in 11th generation
  • 13. Supplier-specific Microbiota GMJAX GMTAC GMCRL GMHSD Hart et al. (manuscript in preparation)
  • 14. Supplier-specific Microbiota PC1 — 30.9% variation PC2—15.9%variation CD1GMJAX CD1GMTAC CD1GMCRL CD1GMHSD ObservedOTUs 0 5 0 1 0 0 1 5 0 2 0 0 a,b,c a,d b,e c,d,e 2 .5 3 .0 3 .5 4 .0 4 .5 5 .0 ShannonIndex a,b,c a,d b,d c Hart et al. (manuscript in preparation)
  • 15. Do they travel well? Yes! Hart et al. (manuscript in preparation)
  • 16. Contribution of GM vs. Genetics? J AX -A P C m in C C -A P C m in 0 5 0 1 0 0 1 5 0 2 0 0 S m a ll In te s tin a l T u m o r N u m b e r A P C m i n C o lo n y TumorNumber P < 0 .0 0 0 1 J AX -A P C m in C C -A P C m in 0 2 4 6 8 C o lo n ic T u m o r N u m b e r A P C m i n C o lo n y TumorNumber P < 0 .0 001 p < 0.0001 p < 0.0001 Data courtesy of Jim Amos-Landgraf and Jake Moskowitz C57BL/6J-APCmin/+ CC-APCmin/+ C57BL/6J-APCmin/+ CC-APCmin/+
  • 17. Contribution of GM vs. Genetics J A X -A P C m in (G M J A X ) J A X -A P C m in (G M H S D ) C C -A P C m in (G M J A X ) C C -A P C m in (G M H S D ) 0 5 0 1 0 0 1 5 0 2 0 0 G e n e tic B a c k g ro u n d a n d G M e ffe c ts o n S I T u m o r C o u n ts A P C m in C olony TumorNumber * * J A X -A P C m in (G M J A X ) J A X -A P C m in (G M H S D ) C C -A P C m in (G M J A X ) C C -A P C m in (G M H S D ) 0 2 4 6 G e n e tic B a c k g ro u n d a n d G M e ffe c ts o n C o lo n ic T u m o r C o u n ts A P C m in C olony TumorNumber * Data courtesy of Jim Amos-Landgraf and Jake Moskowitz C57BL/6J-APCmin/+ CC-APCmin/+ C57BL/6J-APCmin/+ CC-APCmin/+ GMJAX GMHSD GMJAX GMHSD GMJAX GMHSD GMJAX GMHSD Small intestines Colon
  • 18. Proof-of-concept in Rat Model of CRC Ericsson et al. (2015) Oncotarget 6(32):33689-33704.
  • 19. Tumor Development in Pirc Rats Ericsson et al. (2015) Oncotarget 6(32):33689-33704.
  • 20. So you don’t work with GI models?
  • 21. GM influence on behavior Locomotor activity Elevatedplusmaze Marbleburying Forcedswim
  • 22. Marble Burying 0 2 0 4 0 6 0 8 0 Latencytobury(s) 0 1 0 0 2 0 0 3 0 0 Totalburyingduration (s) 0 5 1 0 1 5 Totalmarblesburied
  • 24. BTBR T+Itpr3tf/J Novel object Stranger mouse Data courtesy of Marcia Hart
  • 25. Differences during development Cecal contents Feces Lactobacillus spp. Streptococcus spp. Family Enterobacteriaceae Family Pasteurellaceae Aggregatibacter segnis
  • 26. Reproducibility at odds with Translatability? GMJAX GMHSD GMPetStore
  • 27. Argument for “dirty” mice Beura et al. 2016 Nature 532: 512-518. Naive Ag-exp’d
  • 28. Argument for “dirty” mice Reese et al. 2016 Cell Host Microbe 19(5): 713-719. Baldridge et al. (2015) Science 347:266 Chou et al. (2015) PNAS 112:2175 See also Muraille, E. (2016) Frontiers in Microbiol 6:1525.
  • 29. Xenobiotics and ADME Koppel et al. (2017) Science 356:2770.
  • 30. Summary • Many variables can alter the microbiota of research animals • Animal source and rederivation • Husbandry-related factors • Changes in the microbiota can cause change or loss of phenotype • There are several methods, including targeted rederivation, of manipulating the microbiota • “Dirty” mice may represent more translatable models but the presence of possible pathogens presents a challenge • MMRRC, RRRC, and MUMC can help researchers
  • 31. Acknowledgements NIH 2U42 OD010918-16 NIH P40 OD011062-13 Mizzou Advantage – One Health MU DNA Core MU Informatics Research Core MU Comparative Medicine Program
  • 32. Equilibration post-shipping -0,2 -0,1 0 0,1 0,2 0,3 0,4 0,5 -0,5 -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4 0,5 PC1 – 38.39% variation PC2–12.00%variation Pre-ship and arrival d2 d5 d7 (blue) and d30 (green) C57BL/6J BALB/cJ -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4 -0,4 -0,3 -0,2 -0,1 0 0,1 0,2 0,3 0,4 0,5 PC1 – 31.82% variation PC2–13.06%variation Pre-ship Arrival d2d5 d7 (blue) and d30 (green) GM equilibrates at 1 to 2 weeks post-shipping Montonye et al. (manuscript in preparation)
  • 33. Quarantine has minimal effectC57BL/6NHsdC57BL/6J Korte et al. (manuscript in preparation)
  • 34. Bedding and caging affect cecal microbiota Ericsson et al. (manuscript under review)
  • 35. Bedding and H2O treatment matter • Environmental factors (e.g., caging, bedding, water treatment) can significantly affect GM • Factors can have synergistic effects • Factors can have “upstream” effects that are muted in fecal communities Bidot et al. (manuscript in preparation)
  • 36. Common antibiotic treatments Topical “triple antibiotic” (TAB) and oral enrofloxacin have long-lasting effects on GM
  • 37. Development of Production Colonies Rederivation in ASF-colonized surrogates Production colony Data courtesy of Jeff Lohmiller (Taconic)
  • 38. Sample to Insight For up-to-date licensing information and product-specific disclaimers, see the respective QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor. For up-to-date licensing information and product-specific disclaimers, see the respective QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor. For up-to-date licensing information and product-specific disclaimers, see the respective QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor. Q&A session For up-to-date licensing information and product-specific disclaimers for QIAGEN products, see the respective QIAGEN kit handbook or user manual. QIAGEN kit handbooks and user manuals are available at www.qiagen.com or can be requested from QIAGEN Technical Services or your local distributor. Questions? Thank you to our speaker for the informative presentation!