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Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

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Page 1: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Discovering the genes controlling response to Trypanosoma

congolense infectionHarry Noyes

University of Liverpool

Page 2: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Participants• ILRI, Nairobi• Morris Agaba• John Gibson• Fuad Iraqi• Steve Kemp• Hassan Musa• Joel Mwakya• Daniel Mwanga• Jan Naessens• Joseph Nganga• Moises Ogugu• John Wambugu

• University of Manchester

• Andy Brass• Helen Hulme• Leo Zeef• Leanne Wardlesworth

• University of Liverpool

• Anthea Broadhead• Derek Daly• Kate Goodheart• Harry Noyes• Katie Rennie

Roslin InstituteAlan ArchibaldSusan AndersonLaurence Hall

FundingWellcome Trust

Page 3: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Trypanosomosis

Is a fatal disease of livestock.

The livestock equivalent of sleeping sickness in humans

T brucei rhodesiense T gambiense

T. congolense, T. vivax

Page 4: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Bovins

Bovins et GlossinesGlossines

CattleTsetseCattle and tsetse

Distribution of Trypanosomiasis

N’DamaBoran

Page 5: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Trypanosoma brucei

Page 6: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

QuickTime™ and aNone decompressor

are needed to see this picture.

Page 7: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Mouse models of trypanotolerance.

0

10

20

30

40

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60

70

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90

100

1 21 41 61 81 101 121

Days Post Challenge

% S

urv

ival

F6

AJ

C57BL

Survival of F6 and parental mice

Page 8: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

X =

C57BL6 resistant

AJ and Balb/c susceptible

Creating mapping populations

Page 9: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Trypanosoma infection response (Tir) loci

C57/BL6 x AJ and C57/BL6 x BALB/C

Iraqi et al Mammalian Genome 2000 11:645-648 Kemp et al. Nature Genetics 1997 16:194-196

Page 10: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

D17

MIT

408

D17

MIT

029

DI1

7MIT

234 D

17M

IT17

7

D17

MIT

091

D17

MIT

072

5CM

40

35

30

25

20

15

10

5

0

LO

D S

CO

RE

D17MIT16

Tir1 locus in the F6

Page 11: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Contribution of 10 genes from Boranand N’Dama

cattle to reduction in degree of trypanosomosisBoran (relatively susceptible)

The N’Dama and Boran each contribute trypanotolerance alleles at 5 of the 10 most significant QTL, indicating that a synthetic breed could

have even higher tolerance than the N’Dama.

N’Dama (tolerant)

-15-10-505

1015

-15-10-505

1015

Page 12: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

From QTL to gene

• Sequence variants– Resequencing

• Structural variants– Agilent tiling arrays

• Expression variation– Affymetrix microarrays

• Congenic mice• Gene networks

Page 13: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 14: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 15: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 16: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Sequence comparisonsChromosome 5, 73-83Mb

Page 17: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

From QTL to gene

• Sequence variants– Resequencing

• Structural variants– Agilent tiling arrays

• Expression variation– Affymetrix microarrays

• Congenic mice• Gene networks

Page 18: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Microarray design at each time point

Resistant C57BL/6Susceptible AJ

Page 19: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Harvesting Tissues

Page 20: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 21: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 22: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

From QTL to gene

• Sequence variants– Resequencing

• Structural variants– Agilent tiling arrays

• Expression variation– Affymetrix microarrays

• Congenic mice• Gene networks

Page 23: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Congenic Mice

• Three congenic lines

• One line for each trypanotolerance QTL

• F1 Cross between AJ and C57BL6

• Backcrossed to AJ for six generations selecting for C57 allele at each generation

Page 24: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Development of Congenic mice

C57BL/6 DNA

AJ DNA

QTL

Page 25: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Position of Mmu17 QTL (Tir1)

Page 26: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Position of Mmu5 QTL (Tir2)

Page 27: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Survival of congenic mice

Response of Congenic mice to T. congolense infection

0

20

40

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120

21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100

Days post intection

% survivingTir1AA (n = 20)Tir1CC (n = 25)Tir2AA (n = 60)Tir2CC (n = 120)Tir3AA (n = 20)Tir3CC (n = 90)TirnAA (n = 100)

Page 28: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

From QTL to gene

• Sequence variants– Resequencing

• Structural variants– Agilent tiling arrays

• Expression variation– Affymetrix microarrays

• Congenic mice• Gene networks

Page 29: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Cholesterol metabolism

Page 30: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Endogenous cholesterol production increases after

infection

Page 31: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Tir loci C57/BL6 x AJHDL after 6 weeks high fat diet AIL C57BL6 x NZB/BIN

Iraqi et al Mammalian Genome 2000 11:645-648 Wang et al. Genome Research 2003 13:1654-1664Kemp et al. Nature Genetics 1997 16:194-196

Trypanotolerance QTL are the right of each pair of chromosomes HDL QTL are the left hand of each pair

Page 32: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Total Cholesterol levelsCHOLESTEROL

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

0 8 21 4

DAYS POST INFECTION

AJ_HIGH_FAT

AJ_LOW_FAT

BALB_HIGH_FAT

BALB_LOW_FAT

c57_HIGH_FAT

C57_LOW_FAT

Page 33: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Tir2 QTL controls weight

Page 34: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Collaboration with GSF

• Clinical chemistry and cytokines

• InbredC57BL/6, Balb/c, A/J mice

• Congenic Tir1, Tir2, Tir3 mice plus controls

• Serum samples collected pre-infection and at days 3, 9, 17 and 35 post-infection

Page 35: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 36: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 37: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 38: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool
Page 39: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Inflammatory counter inflammatory switch

C57

AJ/Balb

0 7 93 17

Classically activated macrophages

Alternatively activated macrophagesTh2 signal (IL4, IL10)

Page 40: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

AJ and Balb/c produce alternatively activated macrophages early in infection

Page 41: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Intersection of Cholesterol and Inflammatory pathways

Dunn et al Journal of Experimental MedicineVol. 203, No. 2, February 20, 2006 401–412

Th2 bias

Suppression of cholesterol synthesis

Page 42: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

NATURE MEDICINE • VOLUME 9 • NUMBER 2 • FEBRUARY 2003

LXR agonsists lower cholesterol and inhibit NFkB mediated inflammatory signals

Page 43: Discovering the genes controlling response to Trypanosoma congolense infection Harry Noyes University of Liverpool

Innate immune response controls survival after infection

with T. congolense • Deletion of T cells does not effect survival

time• C57BL/6 (resistant) mice have strong

inflammatory response and high cholesterol• Identification of regulators of both

mechanisms may lead us to the Quantative trait gene (QTG)