using wild mice to tackle genetic control of resistance to ... · controlling resistance to...
TRANSCRIPT
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Using wild mice to tackle genetic control of resistance to infectious diseases (West-Nile, Plague, Rift Valley Fever)
Xavier Montagutelli, DVM, PhD
Fondation Mérieux Oct 12, 2011
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Outline
3 – Analyzing wild-derived mouse strains can be key to success (3 examples).
1 – Two complementary approaches to identify genes controlling resistance to infectious diseases relevant for the human and animal species.
2 – Classical laboratory inbred strains lack genetic and phenotypic variation.
4 – The Collaborative Cross as the genetic reference population for this decade (and more…).
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Reverse genetic approach
Genetic difference Phenotypic difference
resistant Random mutations
Targeted mutations
susceptible
Identify mutation
Bruce Beutler Nobel 2011
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Forward genetic approach
Phenotypic difference Genetic difference
resistant
susceptible Causal polymorphism
C R
T S
+ genotyping
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Forward genetic approach
Vidal et al. 2008 Ann. Rev. Immunol. 26:81:132
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Origin of laboratory mice
M.Y.
0
0.2
3
0.3
5
M.m. musculus
M.m. castaneus
M.m. domesticus
M.m. molossinus
92%
7%
1%
B6
Yang et al., Nat. Genet., 2007
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Laboratory strains
0
10
20
30
40
50
60
70
80
90
100
Days after inoculation
7 8 9 10 11 12 13 14 15 0 6
% s
urv
ivors
BALB/c C57BL/6
West Nile virus
0
10
20
30
40
50
60
70
80
90
100
2 3 4 5 6 7 8 9 10 11 12 13 14
Days after inoculation
% s
urv
ivors
Yersinia pestis
B6/J
BALB/CByJ
C3H/HeN
DBA/2J
FVB/N
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Wild-derived inbred strains
M.m. musculus
M.m. castaneus
M.m. domesticus
M. spretus
M.Y.
0
0.2
3
0.3
5
1.1
0
M.m. molossinus
WLA/Pas, WMP/Pas WSB/Ei
MBT/Pas, PWK/Pas, PWD/Ph
MOLF/Ei
CAST/Ei
SEG/Pas, STF/Pas, SPRET/Ei
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Flaviruses are positive-sense, single-stranded RNA viruses
Phylogenetic relationships of flaviviruses
Meningo-encephalitis syndromes
West Nile virus
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2003
• 515 annual cases in USA (2009) CDC, Atlanta. 278 (54%) West Nile meningitis or encephalitis (neuroinvasive disease), 222 (43%) West Nile fever (milder disease)
WN virus spreading in the USA
1999
2001
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Dead-end hosts
Mosquito vectors Culex
Transovarian sexual routes
Vertebrate reservoirs
WN virus cycle(s)
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Mild illness (West Nile fever) ~ 20% among infected individuals
Clinical severity < 1% of infected individuals develop severe neurological disease
Case-fatality rate ~ 5-20 % among hospitalized patients during 2002-2003 outbreaks ~ 10% among patients with meningo-encephalitis
This suggests the existence of genetics factors controlling the susceptibility of the host
WN Neuroinvasive Disease (WNND)
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BC1
F1
pare
nta
l
Dominant resistance allele
WNV susceptibility in mice
Mashimo et al., PNAS, 2002
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203 [(MBT/Pas x BALB/c)F1 x BALB/c]BC1 progeny
The mapping was done using only the 74 BC1 mice that died.
MBT/BALB
BALB/BALB
2.7 cM, 5.2 Mb
Mapping of WNV resistance gene
The critical interval was further refined to 0.4 cM by genotyping additional recombinants
Mashimo et al., PNAS, 2002
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20 genes /ESTs :
D5Mit408 D5Mit242
FLN29, gene with ligase activity Oligo-adenylate synthetase genes: Rbm19, RNA binding motif Oas 1a to Oas1h, eight genes RPL6, ribosomal protein L6 Oas2, Oas3 PTN11,Tyrosine phosphatase Deltex Rabphilin 3A SDS, Serine dehydratase Rasal1, RAS protein activator like 1 LHX5, LIM homeobox protein Tpcn1, calcium ion transport
Gene map of the critical region
Mashimo et al., PNAS, 2002
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BALB/c
Stop codon
Laboratory mice (susceptible)
129/Sv
DDK/Pas
C3H/HeJ
DBA/2J
GGGCTTCTGAACCGT
GGGCTTCTGAACCGT
GGGCTTCTGAACCGT
GGGCTTCTGAACCGT
NZW/Ola
NZB/Ola
C57BL/6 GGGCTTCTGAACCGT
Mus m domesticus
MBT/Pas
Arginine
GGGCTTCCGAACCGTC
Wild mice (resistant)
MAI/Pas
WMP/Pas
PWK/Pas
GGGCTTCCGAACCGTC
SEG/Pas
STF/Pas
Mus m musculus
Mus spretus
PL/J
Laboratory mice (resistant)
GGGCTTCTGAACCGT
Non-sense mutation in Oas1b gene
Mashimo et al., PNAS, 2002
GGGCTTCTGAACCGT
GGGCTTCTGAACCGT
GGGCTTCCGAACCGTC
GGGCTTCCGAACCGTC
GGGCTTCCGAACCGTC
GGGCTTCCGAACCGTC
GGGCTTCCGAACCGTC
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CAG Oas1b cDNA pA SV40
CGA
CMV/chicken b-actin promoter BALB/c
genetic background
Transgenic complementation
Survival curve
0
20
40
60
80
100
120
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
day
+/+
tg/+
Perc
ent
surv
ival
Days after infection
BALB/c Tg/+
BALB/c +/+
***
Simon et al. 2011 Virology, in press
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Relevance for other species
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Yersinia pestis and plague
Yersinia pestis
• Gram-negative, enterobacteria
• infects wild rodents (>200 species)
Alexandre Yersin in front of his "laboratory"
Alexandre Yersin (1863-1943) identified the bacteria responsible for plague, during the Hong-Kong epidemics (1894)
Paul-Louis Simond (1858-1947)
demonstrated the transmission of the
bacteria by rat fleas (1897)
• transmitted through flea bites
• causes plague epidemics in humans
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The plague disease
Bubonic form
• inflammation of the lymph node draining the bite site: "bubo"
• intense replication of bacteria
• evolves to suppuration and dissemination to other lymph nodes
Septicaemic form
• following massive or IV infection
• usual signs of septicaemia with septic shock
Pneumonic form
• the most dangerous and fatal form
• secondary to septicaemic or by inhalation
• fulminant haemorrhagic pneumonia
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Human plague
Black death
• spread from Asia to Europe ~1350
• 20 M people died (1/3 of Europe)
• Paris, Venice, etc… : > 50% died
• 200 M in human history
• >2,000 cases reported each year
(99% in Africa) – 200 deaths
Plague epidemics
• coincide with foci of infected rodents
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Y. pestis : evidence for host genetic control
"Not all of them died, but all were struck"
Cats, rats, mice, rabbits, camels, turkeys, and monkeys are highly susceptible to plague.
Dogs and cows are resistant.
In humans, not all exposed individuals become sick or die.
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Mouse models of plague
• Laboratory strains are highly susceptible to fully virulent Y. pestis infection.
• Differences in susceptibility can be observed only when using Y.p. strains lacking virulence factors.
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SEG/Pas mice are exceptionnaly resistant to Y.p.
100 cfu, strain C092, s.c., 12-15 wks
0
10
20
30
40
50
60
70
80
90
100
2 3 4 5 6 7 8 9 10 11 12 13 14
days post-infection
% s
urv
ivors
B6/J (n=16)
SEG/Pas (n=16)
BALB/CByJ (n=11)
C3H/HeN (n=12)
DBA/2J (n=12)
FVB/N (n=12)
CAST/EiJ (n=10)
Blanchet et al., Genes and Immunity, 2010
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QTL mapping of resistance loci
Y.p. challenge : 100 cfu, strain C092, s.c., 12 wks
SEG male B6 female
F1 female B6 male
>300 backcross females
High-density SNP genotyping (>700 markers)
BSB : (B6 x SEG)F1 x B6
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Three QTLs increase survival by 20%
57 Mb
Chr 3
0
20
40
60
80
100
2 4 6 8 10 12 14
% s
urv
ivors
B/B (n=142)
B/S (n=179)
Chr 3 : Yprl1
p = 0.00024
Days post-infection
2 4 6 8 10 12 14
B/B (n=146)
B/S (n=176)
0
20
40
60
80
100
p = 0.00026
Days post-infection
% s
urv
ivors
Chr 4 : Yprl2
p = 0.00026
2 4 6 8 10 12 14
Days post-infection
0
20
40
60
80
100
% s
urv
ivors
B/B (n=148)
B/S (n=174)
Chr 6 : Yprl3
69 Mb 87 Mb
Chr 4 Chr 6
Blanchet et al., Genes and Immunity, 2010
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Y.p. resistance in SEG : a model
0
10
20
30
40
50
60
70
80
90
100
Surv
ival (%
)
B6 SEG 1 QTL
2 QTLs
3 QTLs
??
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Y.p. resistance in congenic mice
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Days post infection
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Surv
ival ra
te
B6
B6 + Chr 4+6
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Zoonosis in Africa
Spread to Yemen and Saudi Arabia in 2000
Infectious disease due to an enveloped virus
transmitted mainly by mosquitoes
(Phlebovirus) Isolation, 1930
1987, 1998
1977, 1993 2000
1990-1991 2006-2007
1951, 1975
1997,-1998
Human and animal health problem
No safe vaccine for protection nor antiviral agents
for therapy
Arbovirus transmitted by many species of
mosquitoes
Potential bioterrorism agent
L
M
S
Gn
Gc
RNP
L
90 à 100 nm Aedes
Culex
5’
5’
5’
L: RNA-dependent RNApolymerase
3’ Segment L (6404 nt)
3’
Gc Gn NSm
Segment M ( 3885 nt)
3’ NSs
N
Segment S (1690 nt)
Rift Valley fever virus
Reasons to study RVF virus
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The different outcomes both in animals and humans suggest the existence of genetic factors controlling the susceptibility of the host
Hepatic syndrome, vasculitis and necrosis of the liver due to RVF
Macroscopically foetuses often show
haemorrhages and haemothorax
RVF in animals
Abortions
High fatalities in young animals
Necrotic hepatitis with or without
haemorrhagic state
Indigen breeds of African cattle and sheep are resistant
RVF in humans
Usually uncomplicated acute febrile illness but
o hepatocellular failure o acute renal failure o hemorrhagic manifestations o meningoencephalitis and retinitis o death associated with hepatorenal failure, shock, severa anemia
occur in 1% of humans that become infected with Rift valley fever virus
Rift Valley fever virus-induced diseases
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♀ BALB/c
late susceptible
♀ MBT/Pas
early susceptible
♀ C57BL/6
intermediate
Rift Valley fever virus in mice
Survival of various inbred strains of mice following infection by 102 PFU RVF ZH548 i.p.
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BALB/cByJ
100 PFU Rift Valley fever virus
D0
MBT/Pas
100 PFU Rift Valley fever virus
D3
4.2 ± 0.5
7.7±0.3
D1
3.1±0.3
0
D4
All mice were already dead
All mice were still alive
Viral load in BALB/c and MBT infected mice
log(PFU/ml)
log(PFU/ml)
Earlier and higher viral production in MBT mice than in BALB/c mice.
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MBT cells produce higher virus titers than BALB/c cells, at various MOI,
suggesting that BALB/c cells are able to limit viral production.
6
7
8
9
log P
FU
/10
6 c
ells
15 hours post-infection
MOI 1 MOI 5 MOI 10 MOI 1 MOI 5 MOI 10
20 hours post-infection
***
***
** ***
***
**
BALB/c and MBT-derived MEFs infected at MOI of 1, 5 and 10
BALB/cByJ
MBT/Pas
Viral production by MEFs
Zaverucha do Valle et al., J. Immunol., 2010
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Infection differentially regulates more cellular genes in MBT cells than in BALB/c cells.
9 hours post-infection BALB/cByJ MBT/Pas
700
600
500
400
300
200
100
0
100
200
300
1 2
Num
ber
of diffe
rentially e
xpre
ssed g
enes
Upregulated
Downregulated
152
77
614
205
Differentially regulated genes (twofold cutoff)
229 0.82 %
819 2.9 %
Number of genes : % cellular transcripts :
27,000 unique transcripts
Micro-array analysis in MEFs
Zaverucha do Valle et al., J. Immunol., 2010
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229 unique genes
differentially regulated
following infection with
Rift Valley fever virus
87 genes are highly upregulated after infection in BALB/cByJ cells, but moderately or not upregulated in MBT/Pas cells
Micro-array analysis in MEFs
Zaverucha do Valle et al., J. Immunol., 2010
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Genes highly upregulated in MEFs from BALB/c, but not from MBT/Pas mice
………………………………………………. Interferon stimulated gene 20
………………………………………………. Interferon stimulated gene 12
………………………………………………. Interferon stimulated gene 15
………………………………………………. Interferon stimulated gene 56
………………………………………………. Interferon stimulated gene 60
………………………………………………. Interferon induced gene 44
………………………………………………. Interferon induced gene 35
……………………………………… Member of the P200 family
……………………………………… Member of the P200 family
……………………………………… Member of the P200 family
……………………………………… Member of the P200 family
…………………………………… ……………. p47 GTPase family
…………………………………… ……………. p47 GTPase family
………………………………………………………………………………………………………………………. MDA-5 RNA helicase
………………………………………………………………………………………………………………………………….. RIG-I RNA helicase
…………………………………………………………………………………………… dsRNA-dependent protein kinase PKR
………………………………………………………………………………………..…………………cytosolic DNA sensor DAI/ZBP1 …………………………………………………………………… Oligoadenylate synthetase (OASl1)
…………………………………………………………………… Oligoadenylate synthetase (OASl2)
…………………………………………………………………… Oligoadenylate synthetase (OAS1a)
…………………………………………………………………………………..Chemokine
…………………………………………………………………………………..Cytokine
………………………………………………………………………………. Interferon regulatory factor 9 (IRF9)
………………………………………………………………………………. Interferon regulatory factor 7 (IRF7)
……………………………………………………………………………………………………..STAT1
……………………………………………………………………………………………………..STAT2
Micro-array analysis in MEFs
Zaverucha do Valle et al., J. Immunol., 2010
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BALB/c cells display a strong innate immune response to infection with the RVFV
Upregulated in BALB/cByJ
Unchanged in BALB/cByJ
Not present in the microarray
NSs NSs viral protein
IFNαs
IFNβ
5’ triphosphate
ssRNA dsDNA dsRNA
IRF3 IRF3 IFNβ
IFNβ
ISG
TBK-1
MAVS
eIF2α
IKKα/β IKKε
NFκB
TRAF
IFNAR1 IFNAR2
ISG IFNα
IFNβ
JAK1 TYK2
ISRE
IRF3
SOCS1
PIAS1
dsRNA
Early signaling events Late signaling events
NSs
NSs NSs
NSs
NSs
NSs
ISG15
IFIT2
MDA5 LGP2
IFIT1
RIG-I
OASL1
IFI204
IFIT3
IIGP1
MDA-5
IP-10
ISG12
OAS1a
IFI202b
IFI203
IFI35
ISG20
LGP2
OASL2
PKR
GVIN1
IFI205
IIGP2
DAI
IFI44
RIG-I DAI
TRIM25
PKR
STAT1 STAT2
IRF9
IRF7
ISGF3
IFN
IFN
Type I interferon antiviral innate response
Gene activation in BALB/c
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5’ triphosphate
ssRNA dsDNA dsRNA
IRF3 IRF3 IFNβ
IFNβ
ISG
TBK-1
MAVS
eIF2α
IKKα/β IKKε
NFκB
TRAF
IFNAR1 IFNAR2
ISG IFNα
IFNβ
JAK1 TYK2
ISRE
IRF3
SOCS1
PIAS1
dsRNA
Early signaling events Late signaling events
NSs
NSs NSs
NSs
NSs
NSs
Upregulated in BALB/cByJ and MBT/Pas
Unchanged in BALB/cByJ and MBT/Pas
Not present in the microarray
Upregulated in BALB/cByJ, but unchanged in MBT/Pas
ISG15
IFIT2
MDA5 LGP2
IFIT1
RIG-I
OASL1
IFI204
IFIT3
IIGP1
MDA-5
IP-10
ISG12
OAS1a
IFI202b
IFI203
IFI35
ISG20
LGP2
OASL2
PKR
GVIN1
IFI205
IIGP2
DAI
IFI44
NSs NSs viral protein
IFNαs
IFNβ
RIG-I DAI
TRIM25
PKR
STAT1 STAT2
IRF9
IRF7
ISGF3
IFN
IFN
Weak gene activation in MBT
Type I interferon antiviral innate response
MBT cells display a weak innate immune response to infection with the RVFV
Kinetic study by gRT-PCR
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Group 1 Late higher expression in MBT/Pas cells
**
*
Ifit3
0 5
10 15 20 25 30 35 40 45 50
0 3 6 9 Hours after infection
Rela
tive e
xpre
ssio
n
*
Ifna4
Hours after infection
* Ifnb1
0
200
400
600
800
1000
1200
0 3 6 9 Hours after infection
BALB/cByJ
MBT/Pas
0
5
10
15
20
25
30
0 3 6 9
IFN-4 IFN-
Expressed in a Stat2- dependent manner
Group 2 Delayed induction in MBT/Pas cells
*
Ifit1
0
10
20
30
40
50
60
70
0 3 6 9 Hours after infection
BALB/cByJ
MBT/Pas
***
***
Rig-I
0
1
2
3
4
5
6
7
0 3 6 9 Hours after infection
*
*
Stat2
0
2
4
6
8
10
12
14
16
0 3 6 9 Hours after infection
Rela
tive e
xpre
ssio
n
Direct target of IRF3 Known sensor of RVFV dsRNA IFNAR activation pathway
Group 3 Low or no induction in MBT/Pas cells
*** *** Isg15
Hours after infection
***
* *
*** Oasl2
0
5
10
15
20
25
30
35
40
0 3 6 9 Hours after infection
BALB/cByJ
MBT/Pas
*** ***
***
*** Irf7
0
1
2
3
4
5
6
7
8
0 3 6 9 Hours after infection
Rela
tive e
xpre
ssio
n
0
2
4
6
8
10
12
0 3 6 9
Required for IFN-4 expression Ubiquitin-like protein that modifies > 150 proteins by ISGylation
Oligoadenylate synthetase
Gene expression study by RT-PCR
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Do the genes whose expression in MBT/Pas cells is low or delayed play a role in limiting viral production ?
• Inhibition of RVFV-induced genes by specific siRNA
• Effects on the inhibition on viral production
Isg15 and Oasl2 play functional role in the inhibition of viral production
Irf7
0
20
40
60
80
100
120
mR
NA
rela
tive
expre
ssio
n (
%)
**
*
Mock
-inf
RVFV
Inf. siR1 siR2 siR3
Isg15
0
20
40
60
80
100
120
*** *** *** ***
Mock
-inf
RVFV
Inf. siR1 siR2 siR3
Rig-I
0
20
40
60
80
100
120
***
*** ***
***
Mock
-inf
RVFV
Inf. siR1 siR2 siR3
Oasl2
0
20
40
60
80
100
120
*
**
mR
NA
rela
tive
expre
ssio
n (
%)
Mock
-inf
RVFV
Inf. siR1 siR2 siR3
7,8
7,9
8,0
8,1
8,2
8,3
Scrambled
siRNA Irf7 Isg15 Oasl2 Rig-I
log
10 P
FU
/ 10
6 c
ells
***
*
Gene knock-down experiments
Zaverucha do Valle et al., J. Immunol., 2010
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0
10
20
30
40
50
60
70
80
90
100
0 2 4 6 8
Days following infection
Surv
ivin
g m
ice
0
10
20
30
40
50
60
70
80
90
100
0 2 4 6 8
♀ BALB/c
♂ MBT/Pas
♀ MBT/Pas
♂ BALB/c
♂ (BALB/c x MBT/Pas)F2
♀ (BALB/c x MBT/Pas)F2
F2 mice are intermediate between MBT/Pas and BALB/c mice
Mapping resistance loci
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576 F2 mice were challenged
with 102 PFU RVF virus.
Genotyping with 315 polymorphic
markers, 240 SNPs and 75
microsatellites distributed along
the whole genome.
Mapping resistance loci
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c/c c/m m/m
Genotype at 168.21
6
5
5.5
4.5
Chr. 2
c/c c/m m/m
Genotype at D5Mit168
6
5
5.5
4.5
Chr. 5
c/c c/m m/m
Genotype at D11Mit214
5
5.5
4.5
Chr. 11
QTL mapping
Chr.2 Chr.5 Chr.11
Three QTLs affect time to death
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Do differentially regulated genes in BALB/c and MBT/Pas MEFs map to the QTLs on chromosome 2, 5 and 11 ?
Chr 11 Oasl2
Chr 2
QTL mapping and gene expression
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Towards an ideal mouse population ?
Inbred strains provide information dependent on their genotype.
Outbred stocks are not a valuable alternative (lack of genetic variation, irreproducibility, poor genetic characterization).
Testing several inbred strains is an optimal design but common lab strains are closely related.
??
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Towards an ideal mouse population ?
Include genetic variation present across M. musculus subspecies in a novel genetic reference population with ideal features :
• Maximize genetic variation across a collection of strains
• Optimize genetic resolution to facilitate gene identification
• Balanced contribution from each progenitor
• Detailed characterization of the genotype of each strain
M.Y.
0
0.2
3
0.3
5
M.m. musculus
M.m. castaneus
M.m. domesticus
M.m. molossinus
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Collaborative Cross design 129S1/S
vIm
J
A/J
NO
D/L
tJ
C57BL/6
J
NZO
/H1LtJ
CAST/E
i
WSB/E
iJ
PW
D/P
hJ
Mitochondrial DNA
Inbred Collaborative Cross strain
Developed at : - University of North Carolina (Chapel Hill), - Tel-Aviv University, - Perth (Australia).
300-400 strains at the completion of the program.
First 70 strains to be released beginning of 2012.
These 8 strains capture 89% of the mouse genetic variation (2x that observed across human populations).
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Collaborative Cross
PWK/PhJ NOD/LtJ C57BL/6J A/J
129S1/SvImJ NZO/H1LtJ CAST/EiJ WSB/EiJ
Data on 184 lines
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Collaborative Cross : first data
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Collaborative Cross
European Cooperation in the field of Scientific and Technical Research
www.cost.esf.org
SYSGENET: European systems genetics network for the study of complex genetic human diseases using mouse genetic reference populations
Action BM0901 2009 - 2013
Participating countries: AT, CH, CZ, DE, DK, EE, ES, FI, FR, GR, IL, IT, LU, NL, PL, UK Chair: Klaus Schughart, DE, [email protected]
Working Groups :
1) GRP Resources
2) Phenotyping and genotyping
3) Bioinformatics
4) International outreach
5) Training and mobility
Plans to import at least 75 strains in Europe. To be distributed by TAU.
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Conclusions
Wild-derived inbred strains provide much larger genetic and phenotypic variation than laboratory strains.
There is tremendous variation across mouse strains in susceptibility to infectious diseases.
These natural variations are often controlled by multiple genes with moderate effects.
The Collaborative Cross will provide unprecedented opportunity to discover new mouse models, in all biological fields.
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Acknowledgements
Mouse functional genetics unit
Laurent Guillemot
Isabelle Lanctin
Charlène Blanchet
Lucie Chevallier
Tania Zaverucha do Valle
Dominique Simon
Jean Jaubert
Jean-Jacques Panthier
Yersinia unit
Christian Demeure
Elisabeth Carniel
Molecular Genetics of Bunyaviruses unit
Agnès Billecocq
Michèle Bouloy
Molecular Interactions Flaviviruses-Host
Marie-Pascale Frenkel
Philippe Desprès
Klaus Schughart
Rudi Alberts
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