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(1)

060310391 ƱĔ`ĠƲ Ʈ0560565 ƱÈ`ĠƲ

ƗźžƢƔƨƐƁƈ

Û

6

H

ĤÏyĐĞ^wƱ

QTL

ƲƦ

2017/11/13 13:00-14:45

@1

-

Û

4

číd

1

• <ĤşŞšĤÏşyĐŢŀā—šĞ^ŠŰų•ġŝŀÉVŠŰųzIJ

ššŠŰŘś¼Ūų

• ōš­ŜŢŀōšŰŅşyĐƱĤÏyĐquantitative traitƲŶ•ġőų

Ğ^wƱquantitative trait loci: QTLƲš©ùŜšìŮŀyĐŠŇ

Űũő4¨Ŷ¬-őųŕŬšæćŠ½ƱQTL analysis; QTL mappingƲŠř

ńśãŏŪő

Watanabe et al. (2005) Ann Bot. 95:1131

ÉV

2

ƀƯƬƯƕ

ĐÏyĐŀĤÏyĐ

Ğ^ŀĞ^wƱ

locus

ƲŀĤÏyĐĞ^wƱ

QTL

Ʋ

ĩĞ^šìš’bƱęĦƦƲ

.–.¦

Ñ34¨ŀ(…4¨

þÇP#ŀĞ^P#ŀÉV4¨

´Ą.p

lvºŀ

LOD

ƈƃŸ

źƭƍƯƗƩƟƐƙƭƂ

(interval mapping)

EM

ŸƩƄƨƉơ

Composite interval mapping

3

ĐÏyĐƶ

k—šĞ^ʼnĩŏŀþÇPŝĞ^PŝšhƒʼnœÔ

ĐÏyĐ

vs.

ĤÏyĐ

đ á Ľ

DŐĞ^PʼnÎşųþÇPŶÖőōŝŢşń

ƱƲúšù Ʊ1řšĞ^wŠ•ġŎŴŀŔšƵřšhÚĞ^ŶRŀrŝőųƲ

RR Rr rr

þÇP Ğ^P

§µA:XŰŲ“

Q#\1A=;XO=%U"b3R5H>:c

(2)

ĤÏyĐƶ

ā—šĞ^ŝÉVʼnĩŏŀþÇPŝĞ^PŝšhƒʼnœÔ

ĐÏyĐ

vs.

ĤÏyĐ

ŃųQTLšĞ^PʼnDŐŜŭŀƱ/šQTLŮÉVŠŰųzIJ ŠŰŲƲÎşųþÇPŶÖő

ƱƲû Ʊā—šQTLŠ•ġŎŴŀŔšŅŗ1řšQTLŠŇŌųƵřšhÚĞ^ŶQŀ

qŝőųƲ

þÇP Ğ^P

52ƻƼ 87ƻƼ 48ƻƼ 72ƻƼ 32ƻƼ 68ƻƼ

QQ QQ Qq Qq qq qq

§µA:XŰŲ“

5

Ğ^ŀĞ^wŀĤÏyĐĞ^wƱ

QTL

Ʋ

Ğ^Ʊ

gene

Ʋ

Ğ^wƱ

locus

ŀā—y

loci

Ʋ

Ğ^ʼn©ùŃųńŢĞNLŠ;Ŭų

ì

šōŝ

ĤÏyĐĞ^wƱ

quantitative trait locus

Ʋ

ĤÏyĐŶ•ġőųĞ^w

6

ĐÏyĐƱúšùƲ

ĤÏyĐƱûƲ

đ

Ľ á

RR

rr

Rr

ĵ v

QQ

qq Qq

ĵ v

û

ĺ

þÇPƱ#Ʋš.p

0.5

Ğ^PŝþÇPʼn ƴƶƴŠhƒ ƱņţŀrrŢ100%ĽùƲ

ƱŃųQTLŠřńśƲ

DšĞ^Pš! ĨŜþÇPʼnţűřŋ

§µA:XŰŲ“

šĞ^ŮÉV

ŠŰųzIJŜ DŐĞ^P+Š ƗƧƑƀʼnÊŐų

7

ĤÏyĐ ĐÏyĐ

.p ęçÏŀŏţŏţ

9mÏ

Į–Ïŀ\mÏ

Ğ^PŝþÇP šĩ

a* xń

ĩőųĞ^w \ń kşń

ÉV4¨ ŏţŏţ]Ŋń ĘqjŎń

ĤÏyĐŝĐÏyĐšÅ€ºē

Frankham et al. (2002) Introduction to Conservation Genetics. Cambridge Univ. Press

(3)

East (1916) Genetics 1: 164

Frankham et al. (2002) Introduction to Conservation Genetics. Cambridge Univ. Press

ƍƗƃšú,ƱcorollaƲšħŎƱĤÏyĐƲš.Į 9

ƟƯſƯAŝúùšĞ^Rʼn

ęĦƱD©ùŠwƲŏ śńŴţ… AARR aarr AaRr F1 F2ĭJ a A R r

ƲƟƯſƯĞ^Pŝúùš.ĮbF2ĭJƲ

AA Aa aa

30 7 2

5 57 6

ƟƯſƯ ú ù đ Ľ (RR) (rr) (Rr) á

1 8 29

(1-r)2/4

(1-r)2/4

r2/4

r2/4

r(1-r)/2

r(1-r)/2 r(1-r)/2

r(1-r)/2 {r2+(1-r)2}/2

ƟƯſƯA

r=0.117 (13.33cM)

úùŠĩőųĞ^

8<ZW" []YK%$…

ĐÏyĐŠĩőųĞ^wšƟƐƙƭƂ

10

0 10 20 30 40

0 .0 0 0 .0 2 0 .0 4 0 .0 6 x p (x)

ĤÏyĐŜŢŔŅŢńňşń

AA Aa aa

? ? ? ? ? ? ƟƯſƯ Q T L QQ qq Qq ? ? ?

(1-r)2/4

(1-r)2/4

r2/4

r2/4

r(1-r)/2

r(1-r)/2 r(1-r)/2

r(1-r)/2 {r2+(1-r)2}/2

þÇPňűŢQTLšĞ^Pʼn

.ňűşńư

cĬŠągŎŴųþÇP.p

ƱđéŀèéŀİéŜÖŎŴų.pŢągŜŊşńƲ 11

ĂI ôÌv rOršG F#

ƟƯſƯ Ğ^P

2 16.237 9.372**

¶o 12 1.733

š½ƴƶ

.–.¦

A a

A A a a

û Ʊ þ Ç P Ʋ 12.3cm 15.1cm 11.8cm 14.7cm 11.3cm 10.2cm 10.8cm 12.7cm 10.1cm 10.2cm 9.8cm 12.0cm 16.2cm 11.0cm 11.5cm .–.¦þ

ûŠĩőųQTLŝ ƟƯſƯAʼnęĦư *ƅƭƛƩŶŀƟƯſƯĞ^P

¹ŠƂƩƯƛ.Ō ƱōōŜŢŀAA, Aa, aaš3ƂƩƯƛƲ

→ þÇPš.–.¦

ƱƂƩƯƛĨoš¡‡…Ŷ¬bƲ

ƟƯſƯ

ŏňŏŀQTLšìŮ4¨ Ţ´ÕŠŢ.ňűşń…

(4)

.–.¦ŠŰų

QTL

Ʀš

źƢƯƇ

Ŀ

ĞƟƯſƯ

QTL

ĞƟƯſƯŜŀQTLšƆƂƖƩƱſŽƩšļŊYƲŶƀƤƐƏ

ŜŊŕŝŏśŭŀ4¨š]ŊşQTLƱYš]ŊşſŽƩƲʼněŋŠ_

Mŏśńųšňŀ4¨šjŎşQTLƱYšjŎşſŽƩƲʼnĖŋŠ

_MŏśńųšňŀŞŗűň.ňűşńŁ

Ʊìŝ4¨Ŷ.ĮŏśĆ¦ŜŊşńƲ

Ŀ

13

š½

2

ƶ

QTL

ƦiËšæćƣƓƩŠŰųƦ

ŪŒŀĤÏyĐšĞ^P#ŝþÇP#Ŷ

šŰŅŠƣƓƩ6őų

g

i

e

i

y

i gi: !išĞ^P#

yi: !išþÇP#

ei: !išÉV4¨

yi =gi+ei ei ~N(0,

σ

2)

ÉV4¨ŢrO0ŀ .–σ2š´Ą.pŠ }Ņŝb

yi ~ N(gi,

σ

2) þÇP#ŢĞ^P#ŶrOŝőų .–σ2š´Ą.pŠ}Ņ 14

þÇP#ŀĞ^P#ŀÉV4¨

þÇP#Ʊ

phenotypic value

Ʋ

– ŃųĤÏyĐŠĩŏś!šþÇPšŭř#ŁcĬŠć ÀŎŴų#Ł

Ğ^P#Ʊ

genotypic value

Ʋ

– ĤÏyĐšĞŠŇńśŀyĐšÀb#ƱƸþÇP#Ʋ šŅŗŀĞ^PŠŰŘś¼Ūų#Ł

æćÏŠ’bŎŴų#Ł

ÉV4¨Ʊ

environmental effect

Ʋ

– Ds³ŀDU‰šDŐĈĹŨU+Ŝ«RŎŴŕ! ĨŠ'ŋŀÉVšzIJŠŰųĤÏyĐšþÇP#šZ 5Ł

Ʊs³ŮU‰šĚńŠŰųZ5ŶƟƁƫÉV4¨ŝŰť šŠhŏśŀƠƁƫÉV4¨ŝŰťUCŭŃųŁƲ

15

´Ą.p

• ÕÆZ—ʼnxšŝŊŀÕÆfvĩ—ʼn

ŜņűŴų.pŶŀrOμŀ.–σ2š´Ą.pŝńŅŁ

´Ą.pŢŀ³šÈÌňűĢĂş.pŜŃųŁ

(1)¸ĭJš.pʼnı´Ą.pŜŭŀrOŝ.–ʼnbŜŃųīŲŀ ®

ībÈŠŰŲ°£—ʼnWņųŝ°£rOš.pʼn´Ą.pŠĖŚŋ

(2) ôÃÇďŃųńŢ×ÇďŠŇńś´Ą.pŜĖŜŊųŭšʼn\ń

(3) ´Ą.pňűš°£Ţŀ—`ÏŠ=Ų‹ńŮőń

f(x)= 1

2πσ2exp −

(x−µ)2 2σ2

% &

' (

)

* -4 -2 0 2 4

0

.0

0

.1

0

.2

0

.3

0

.4

x

f(x)

μ μ+2σ μ-2σ

μ-4σ μ+4σ

(5)

ƣƓƩ6šçŊ

³Šŀ

QTL

šĞ^PŝĞ^P#šĩ Ŷ

³šŰŅŠƣƓƩ6őųŁ

qq Qq QQ

μ

μ-

a

μ+

d

μ+

a

a

d

QQšĞ^P#< qqšĞ^P#šUCŢŀa< 0

D¯ŠŀQqšĞ^P#ʼnŀQQŝqqšĞ^P#š ĨŰŲjŎńUCd< 0

aŶQTLšÑ34¨ŀdŶQTLš(…4¨ŝŰť

17

ŶŃŵœųŝ

qq Qq QQ

μ

μ-

a

μ+

d

μ+

a

Õ

Æ

y

i

~

N

(

µ

+

d

,

σ

2

)

QQ

ƶ

Qq

ƶ

qq

ƶ

y

i

~

N

+

a

,

σ

2

)

y

i

~

N

(

µ

a,

σ

2

)

18

lvƶŃųƣƓƩňűągƓƯƍʼn

~űŴųÕÆ

• ŀiÍК!šQTLĞ^PʼnQQŜŃųUCŠŀþÇP #y

iʼn~űŴųlvŢ…

φ(y|µ,σ2

)= 1

2πσ2exp −

(y−µ)2

2σ2

& ' (

) * +

p(yi)=φ(yi|µ+a

2)

QQš.pňűyiʼnŽ-ŎŴųÕÆƶ

ŕŖŏŀ Ʊ´Ą.pšÕÆfvĩ—Ʋ

QQ

Õ

Æ

y

i

19

ā—!ŠřńśšlvŢŀ

B!šlvšÙŜþŎŴų

ĵ

v

QQ

Qq

qq

y

1

y

2

y

3

y

4

y

5

y

6

y

7

y

8

y

9

ągƓƯƍƱy

ƴ,…, y9Ʋʼn~űŴųlvL

L1=φ(y1|µ−a,σ 2

)φ(y2|µ−a,σ 2

)φ(y3|µ +d,σ 2

)φ(y

9|µ +a,σ 2

) b942MV*.+,.)$#>:c

QTLʼnƟƯſƯšÒŠìŏśńųUCƶ

→ QTLšĞ^PŢƟƯſƯĞ^PŠõƱąg?óƲ

(6)

2

řšċŝlvº

ċH1: QTLš4¨ŢıƋƫ a ≠0ŪŕŢd≠ 0

ĵ

v

QQ

Qq

qq

y1 y2 y3y4 y5 y6y7 y8 y9

ċH

0: QTLš4¨ŢƋƫ a= 0ňřd= 0

ĵ

v

y1 y2 y3y4 y5 y6y7 y8 y9

L1=φ(y1|µ−a,σ 2

)φ(y2|µ−a,σ 2

)φ(y3|µ +d,σ 2

)φ(y

9|µ +a,σ 2

)

L0 = φ(yi|µ,σ2

)

i=1 9

Ÿ]6 max L

0

ƱċH0šŭŝŜŸl ’bŏŕŝŊšlvƲ

Ÿ]6 max L

1

ƱċH1šŭŝŜŸl ’bŏŕŝŊšlvƲ

lvº

maxL1/maxL0

ōšºŠSŚŊŀB ƣƓƩšƓƯƍŦš ĜCvŶºēőų őŧśš!šþÇP ʼnDŐ.pN(μ, σ2)ňű Ž-ŎŴŕŝőųƣƓƩ

B!šþÇPʼnŔš

QTLĞ^PŠhƒŏŕ .pňűŽ-ŎŴŕŝő ųƣƓƩ

21

LODƈƃŸ=log10(maxL1/maxL0)

maxL1/maxL0ʼn]ŊńUC

QTLʼnıƋƫš4¨ŶŭřƣƓƩšŨŅʼnøń

ċH1Ŷ‘ ƟƯſƯšĖ&ŠQTL

Ŷ¬-QTLʼnš4¨ʼnƋƫŝŏŕƣƓƩšŨŅʼnøń

maxL1/maxL0ʼnjŎńUC

ċH0Ŷ‘ ƟƯſƯšĖ&ŠŢQTLŢşń

lvºŝƣƓƩĝ

QTLš¡ÂŶ¬-őųšŠ øń°*ŝşų

*ęĦ¬bŶ„ń-ŏŪŏůŅ

22

A

B

C

D

E

ƟƯſƯ

QTLʼnƟƯſƯĨŠìőųŝŊŠŢŀ ōšƣƓƩŜŢ7.

Ī#

QTL

ƟƯſƯŜš

LOD

ƈƃŸšÝ-ęĦNL

LO

D

ƈ

ƃ

Ÿ

ņţŀLODƈƃŸ=2Ţŀ ċH0ŠhŏśċH1ʼn

100"lŭűŏńōŝŶÖő

źƭƍƯƗƩƟƐƙƭƂ

ŕŖŏŀcĬŠŢŀQTLʼnƟƯſƯšÒŠŃų?ó…ŢjŎń…

23

QTL

ʼnƟƯſƯŠŃųŝbőų

QTL

ƦšźƢƯƇ

ĞƟƯſƯ

QTL

cĬŢŀƟƯſƯŠQTLʼnÂňŘŕ ƱƟźƁŶìńŕU‰ŠſŽƩʼnńşňŘŕƲUCŀ ƟƯſƯƱƟźƁƲĨšŞōŠQTLƱſŽƩƲʼn_Mőųšň

.ňűşń Ŀ

ƺ

(7)

ƟƯſƯĨŠìőų

QTL

š¬-A Q B

rA rB

P1 P2 F1 F2 A A rAB B B Q Q a a b q q b A a B b Q q A A B b QTLšĞ^PŢŀ $ƟƯſƯšĞ ^PňűÕÆÏŠ ķ’

QQƶ(1-rA)(1-rB)/(1-rAB) ľ (1-rA) rB/ rAB

Qqƶ(1-rA)(1-rB)/(1-rAB) ľrA(1-rB)/rAB

ƳrArB/(1-rAB) ľ (1-rA) rB/rAB

qqƶrArB/(1-rAB) ľ rA(1-rB)/rAB

źƭƍƯƗƩƟƐƙƭƂ

ƟƯſƯA, BŝQTLŝšä”ņ

ƟƯſƯĞ^P ʼnAABbšŝŊBQTL

Ğ^PšÕÆ ņţ… ô· ? ? 25 A a B b Q q

A Q B

rAQ rQB

rAB

ƟƯſƯA, BŝQTLŝšä”ņ

F1

A-?-B ŝşųÕÆ:

ġ%^ʼn

1

2(1−rAB)

A-Q-BŝşųÕÆ:

1

2(1−rA)(1−rB)

A-q-B ŝşųÕÆ: 1 2rArB

ŏŕʼnŘśŀA-?-BšŝŊŠQŝşųÕÆƶ (1−rA)(1−rB) /(1−rAB)

A-?-BšŝŊŠqŝşųÕÆƶ r

ArB/(1−rAB)

A-?-b ŝşųÕÆ:

ġ%^ʼn

1 2rAB

A-Q-bŝşųÕÆ: 1 2(1−rA)rB

A-q-b ŝşųÕÆ:

1

2rA(1−rB)

ŏŕʼnŘśŀA-?-bšŝŊŠQŝşųÕÆƶ (1−rA)rB/rAB

A-?-bšŝŊŠqŝşųÕÆƶ r

A(1−rB) /rAB

P(X|Z)=P(XZ)

P(Z)

J0/TNG

:

ƟƯſƯĞ^PŜ¥ŌŎ

ŴŕQQ, Qq, qqšÕÆŶ»Ŭų26

Q q

AB q1 q2

Ab q3 q4

aB q4 q3

ab q2 q1

q1=(1−rA)(1−rB) /(1−rAB)

q2=rArB/(1−rAB)

$ƟƯſƯšĞ^PŜ¥ŌűŴŕQTLšĞ^PšÕÆ

q3=(1−rA)rB/rAB

q4=rA(1−rB) /rAB

QQ (pQQ) Qq (pQq) qq (pqq)

AABB q12 2q1q2 q22

AABb q1q3 q1q4+q2q3 q2q4

AAbb q32 2q

3q4 q42

AaBB q1q4 q1q3+q2q4 q2q3

AaBb z1q1q2+z2q3q4 z1(q12+q22) +z2(q32+q

42)

z1q1q2+z2q3q4

Aabb q2q3 q1q3+q2q4 q1q4

aaBB q42 2q

3q4 q32

aaBb q2q4 q1q4+q2q3 q1q3

aabb q22 2q1q2 q12

z

1=(1−rAB) 2

/{(1−r

AB) 2 +r AB 2 }

z2=rAB2/{(1−rAB)2 +rAB2}

27 cŢŀŭŅŤŝřŠʼnňŲʼn… ĵ v û

y

i

QQ

Qq

qq

QqšŝŊšÕÆ QQšŝŊšÕÆ qqšŝŊšÕÆ

iÍК!šQTLĞ^PʼnQQ, Qq, qqŜŃųŝŊŀŔš!šþÇPʼnyiŝ şųÕÆŢŀ³šĘŲ…

ϕiqq=p(yi|qq)=φ(yi|µ−a,σ 2

)= 1

2πσ2exp−

{yi−(µ−a)} 2

2σ2 ' ( ) * + ,

ϕiQq=p(yi|Qq)=φ(yi|µ +d,σ 2

)= 1 2πσ2exp −

{yi−(µ +d)} 2

2σ2

' ( ) * + ,

ϕiQQ=p(yi|QQ)=φ(yi|µ +a

2

)= 1

2πσ2exp −

{yi−(µ +a)}

(8)

ĵ

v

û

yi

QQ Qq

qq

QQšŝŊšÕ

Æ

3 ƟƯſƯĞ^PʼnAABbš!iŠŇńś

¾ÐőųQTLʼnQQŜŀþÇPyiŶągőųÕÆƱlvƲŢŀ

ϕ

iQQ A A

B b ? ?

p(QQ) = q1q3

p

iQQ

p

iQQ

ϕ

iQQ

=

q

1

q

3

φ

(

y

i

|

µ

+

a

,

σ

2

)

QTLšĞ^PŢŀ cĬŠŢŀągŜŊşń ōŝŠ¾‡őų

29

cĬšćÝ Ʊ

EM

ŸƩƄƨƉơƲ

ƣƓƩŠSŚńśągŜŊşńQTLĞ^PƱ²ÀƓƯƍƲš¢{#ŶćÝŏŀ Ŕš¢{#ŠSŚńśƣƓƩƘƧƢƯƍš’bŶýŅŝńŅƛƫƊƈŶëŲėő

→ EM (expectation-maximization) ŸƩƄƨƉơ

(Dempster et al. 1977. J Roy Stat Soc. Ser B: 39: 1-39)

(EƈƒƐƛ) iPR42QTLĞ^Pš¢{#Ŷ»ŬųƱ²ÀƓƯƍšÿaƲ

ziqqiqqpiqqiqqpiqqiQqpiQqiQQpiQQ)

ziQqiQqpiQqiqqpiqqiQqpiQqiQQpiQQ)

ziQQiQQpiQQiqqpiqqiQqpiQqiQQpiQQ)

ŕŖŏŀp

i**ŢŀƟƯſƯĞ^PňűćÝŎŴųiÍК!šQTLĞ^PšÕÆ

(MƈƒƐƛ) ³šh—lvlnLŶŸ]6őųƘƧƢƯƍμ, a, b, σ2Ŷ»Ŭų

ƱŔšžÁŜšÿaƓƯƍŠSŚŋƘƧƢƯƍ’bƲ

lnL=

{

ziqqln(ϕiqqpiqq)+ziQqln(ϕiQqpiQq)+ziQQln(ϕiQQpiQQ)

}

i=1

n

+const

@`7EBIDF^I

ƈƒƐƛŶŠƘƧƢƯƍš’b#ʼn<¤őųŪŜëŲėő

C_S# L& 30

A

B

C

D

E

ƟƯſƯ

ƟƯſƯĨŠìőų

QTL

ŭ

¬-?óŠ

Ī#

ƟƯſƯŝƟƯſƯĨššŜ

LOD

ƈƃŸŶÝ-ęĦNL

LO

D

ƈ

ƃ

Ÿ

31

ŰŲ¿êŎŴŕš½Ŧ

• CIM (composite interval mapping)

– ƦŏŰŅŝŏśńųQTL[šQTLš4¨ŠřńśŭƣƓƩ+ ŠFŬųōŝŠŰŲŀQTLš¬-2ŶEŎœųš½

• MIM (multiple interval mapping)

– CIMŜŢŀò|šQTLŠŰųzIJŶƣƓƩŜïˆŏśŢńųʼnŀ *QTLŶDžŠ¬-őųŭšŜŢşńŁMIMŜŢZ—ĝ½Ŷ Ëńś*śšQTLšìŝ4¨ŶDž’bőųŁ

• Bayesian multiple QTL mapping

– ƟƯſƯ:QTL:þÇPĨšĩ ŶƜźƉÏŠƣƓƩ6őųōŝ ŠŰŲŀĉâşƣƓƨƭƂŝƘƧƢƯƍ’bŶ?óŝőųŁ *QTLšìŝ4¨ʼnDž’bŎŴųŖŌŜşŋŀŽƙƈƍƆƈ ŮGxEŀıęçšþÇPşŞŀ¯łşĂIŠŰųzIJŶªĒŠ ƣƓƩ6ŏśĆ¦őųōŝʼnŜŊųŁ

(9)

IM

š²Á

IM

šæćƣƓƩŜŢŀƦhďš

1

řš

QTL

ŖŌŏ

ňïˆŎŴśńşń

þÇP#= ¾ÐŏśńųQTLš4¨ + Ċo

šQTLš4¨

ÉVĊo

©ù1 ©ù2

Qa

]Ŋş4¨ Q

b

jŎş4¨

ĵ

v

QQ

Qq

qq

Ċo

j

] Ğ^PĨšĚń

]

j

ĵ

v

QQ

Qq

qq

ƱQbš4¨ŭĊoŠƲ ƱQaš4¨ŭĊoŠƲ

¬-ʼnįŏń33

IM

š²Áš

źƢƯƇ

ĞƟƯſƯ

QTL

ŃųƟƯſƯƱƟźƁƲĨŜQTLƱſŽƩAƲšU‰ ŶřŊŝŬŰŅŝŏśńųšŠŀ

/šQTLšzIJƱſŽƩBšļŊYƲʼnğĻŜ U‰Ů4¨ʼn´ÕŠ’bŜŊşń

Ŀ

Ŀ

ſŽƩB ſŽƩA

34

CIM

þÇP#

Ċo = šU‰ŠìőųQTL4¨šG + ÉVĊo

=¾Ðŏśńų1řšQTL4¨ + šU‰šQTL4¨ + Ċo ĊoŶ.Ć

Qbš¬-ŠŇńś

þÇPƸQbš4¨Ƴ

Σ

QaÜš4¨ƳĊo

¬-2šE

ƆƈƒƟƒŹƐƁşZ5

(ƟƯſƯĞ^PŜ0?óƲ ƧƭƎơşZ5

ĵ

v

QQ

Qq

qq

Σ

CIMšæćƣƓƩ

ĵ

v

QQ

Qq

qq

35

CIM

š

źƢƯƇ

ĞƟƯſƯ

QTL

/šU‰ŠŃųQTLƱ[ģŠńųŮňŪŏńſŽƩBƲš Ė&šƟƯſƯƱƟźƁƲŭƣƓƩŠäūĕūŀ ŀÓÐŏśńųĴQšQTLƱſŽƩAƲšìŝ4¨Ŷ

´ÕŠ’bŏŰŅŝőų

Ŀ

Ŀ

ſŽƩB ſŽƩA

(10)

ęĦŏŕ

QTL

š.Ćó

©ù

Qa Qb

ęĦŏŕƵřšQTL

LOD LOD

CIM IM

CIM > IM

šš4¨ʼnCŵŎŘśŀ ĨŠn]şƙƯƁʼn…

ĚšQTLš4¨Ŷ ƣƓƩŠFŬųōŝŜŀ ŭŅĚšQTLšìŝ4¨Ŷ

´ÕŠ¬-!('-?6a#"… 37

SIM

CIM

1Í©ù22cMŀa=0.27ŀeÆ

4.7%

1Í©ù66cMŀa=0.43ŀeÆ

11.6%

2Í©ù56cMŀa=0.29ŀeÆ

6.2 %

IM

ŝ

CIM

ŠŰųƦå¨

ƱƆƠƥƪƯƆƦƭƓƯƍƲ

§µA:XŰŲ“

100cM

©ù2

55cM

QTL3 (a=0.3)

100cM

QTL1 (a=0.4)

©ù1

25cM

QTL2 (a=0.35)

75cM

CIMš.ĆóšĺŎʼnăśŝŴų

38

ƮMapmaker/QTL

ftp://ftp-genome.wi.mit.edu/distribution/software/newqtl/

ŀƶîöšƌƚƔŁŜŢkŏ>ńňƺ

ƮQTL Cartographer (WinQTLCart) http://statgen.ncsu.edu/qtlcart/

ŀƶWinQTLCartŢGUIŶŭŗŀńńŁ

IM, CIM, MIMŶýŅōŝʼnŜŊųŁbÍƌƚƔš1řŁ

ƮQgene

http://coding.plantpath.ksu.edu/qgene/

ŀƶeQTLƦŭ?óŁ

ƮR/qtl

http://www.rqtl.org/

ŀƶRŜQTLƦŶýŅŕŬšƌƚƔŻŽŸŁ

2³)ƅƯƏŠŰųŽƙƈƍƆƈ¬-ŭ?óŁ

ƮMultimapper http://www.rni.helsinki.fi/~mjs/

ŀƶƜźƇŸƭƣƓƨƭƂŶËńŕQTLƦŁ ā—QTLšDž’bʼn?óư

ƮMAPL98

http://lbm.ab.a.u-tokyo.ac.jp/~ukai/mapl98.html

ŀƶęĦNLĀňűQTLƦŪŜŁ

ƮQTLBIM

http://www.qtlbim.org/

ŀƶRŜQTLƦŶýŅŕŬšƌƚƔ ƜźƇŸƭƣƓƨƭƂŶËńŕQTLƦ ijuƓƯƍŮ2#ƓƯƍŠŭĜË?ó ŽƙƈƍƆƈŮGxEšĆ¦ŭŜŊųŁ

ŔšŠŭ\—Ńų

QTL

ƦËƌƚƔŻżŸ

39

(11)

çŊ

Gene pyramiding:

¡ËşĞ^ƱhÚĞ^ƲŶ1řšàæŠĭÙŏśńŋōŝ

SW2443 0.0

SW256 20.4

SW240 44.9

FSHB 55.3

SW942 56.3

S0091 62.9

SW395 65.0

SW766 69.9

SW1879 94.0

SWR308 129.7

S

h

e

a

r_

v

a

lu

e

0 5 10 15 20 25

chr2

QTL position : 71.4cM (chromosome 2) QTL effect : a=0.67, d=-0.16

P1ƱƓƥƫƐƁƲ P2

ƱĥüĎƲ

F1 F1

F2

ðš1˜2

) (2

§µA:XŰŲ“

42

ŪŝŬ

ĐÏyĐŝÎşŲŀĤÏyĐŜŢŔšĩĞ^w

Ʊ

QTL

Ʋš¬-ŠĉâşæćƣƓƨƭƂʼn‚Ăŝşų

ƟƯſƯĞ^P

-QTL-

þÇPĨšĩ ʼnƣƓƩ6Ŏ

Ŵų

QTL

ƦŠŰŘśŀ

QTL

šìŮ4¨Ŷ’bŜŊų

QTL

Ʀ½Ţ¯łŃųŁ÷Š™Š½šŨŅʼnßv

ʼnĺŋŀĜËÞKŭtńƱ¯łşyКƦŀŽƙƈ

ƍƆƈŀ

GxE

4¨šĆ¦Ʋ

¬-ŎŴŕ

QTL

š†TŢŀĞ^±óšĉâşĆ¦

ŮŀñØŠŇŌųƟƯſƯĝŒşŞŠËńűŴų

43

ƗźžƢƔƨƐƁƈÛ

6

HjƪƞƯƔČĶ

., fndi*/2\SU8

/

'Y] (c"L_TIkpep%6+)

7&]$(O0?:YJbZPH6Na/?:q7Na.?:r\!Tb

;<9\WKXHkpep%O==7>]A];<9%OH

;;+);C+)CC\[bB

A;;+BA;C+BACCc`[RKI[MHQQY^H

]c$(\SU LZSXK[RKqD

67

5)-,-/4)

q$(0?:r+)D

6;

5-,-/-)q$(/?:r+)D

7;5-,-.-)q$(

.?:rrI

/, ]Aqkpep%O==7>r\WKXH#E

AO-,/)Y

JVUZS_TIHfndi*/3\SUmho]jnlpgOF5-,-+)

=5.,-+)@5-,1+)G

/

5-,1YJb\WKX"LbHA];<9%

O;;+);C+)CC]ZP\#E

A

O-,/Z[bqfndi

*/4rc`[RKI

(12)

ƪƞƯƔš“-½

Ʒ“-ššƹ

ITC-LMS

ŶĘŐś“-Ʒ.Ĥƹ

ÅŠbŢŏŪœŷʼnŀ\ŋśŭA4Ŝ1ƝƯƇ+ŠŪŝŬśŎń

Ʒ¢īƹ

2017s11 27›´8ŪŜ

参照

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