SNP Profiles of PA 56 [PER]   View Data

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 Key

 1 2 3 4 5 6 7 8 9 10 11 12 13 14
_Input profile
TTCTCGGGGGTTGGTTCCAAGTCCCTGG
1._RUQ_32
____CG________TT____________
2._RUQ_32
____CG________TT______CC__GG
3._PA_56_[PER]
____CG________TT______CC__GG
4._PA_56_[PER]
____CG________TT______CC__GG
5._PA_56_[PER]
____CG________TT______CC__GG
6._PA_56_[PER]
____CG________TT______CC__GG
7._PA_56_[PER]
____CG________TT______CC__GG
8._PA_56_[PER]
____CG________TT______CC__GG
9._NA
____CG________TT______CC__GG
10._NA
____CG________TT______CC__GG
11._NA
____CG________TT______CC__GG
12._NA
____CG________TT______CC__GG
13._NA
____CG________TT______CC__GG
14._-
____CG________AA__________GG
 15 16 17 18 19 20 21 22 23 24 25 26 27 28
_Input profile
CCAATTAGCCGGGGTTAAAATTTTAGGG
1._RUQ_32
______AG____GG____AA____AGGG
2._RUQ_32
______AG____GG____________GG
3._PA_56_[PER]
______AG____GG____________GG
4._PA_56_[PER]
______AG____GG____________GG
5._PA_56_[PER]
______AG____GG____________GG
6._PA_56_[PER]
______AG____GG____________GG
7._PA_56_[PER]
______AG____GG____________GG
8._PA_56_[PER]
______AG____GG____________GG
9._NA
______AG__GGGGCG__AA____AGGG
10._NA
______AG__GGGGCG__AA____AGGG
11._NA
______AG__GGGGCG__AA____AGGG
12._NA
______AG__GGGGCG__AA____AGGG
13._NA
______AG__GGGGCG__AA____AGGG
14._-
______AG__GGCCCG__AA____AGCC
 29 30 31 32 33 34 35 36 37 38 39 40 41 42
_Input profile
CTCGAACCGGCTCCATCGGGAACCAACC
1._RUQ_32
CT__________CC__CG__AC______
2._RUQ_32
____AA______CC__CG__AC______
3._PA_56_[PER]
____AA______CC__CG__AC______
4._PA_56_[PER]
____GG______CC__CG__AC______
5._PA_56_[PER]
____GG______CC__CG__AC______
6._PA_56_[PER]
____GG______CC__CG__AC______
7._PA_56_[PER]
____GG______CC__CG__AC______
8._PA_56_[PER]
____GG______CC__CG__AC______
9._NA
CC__GG______CC__CG__AC______
10._NA
CC__GG______CC__CG__AC______
11._NA
CC__GG______CC__CG__AC______
12._NA
CC__GG______CC__CG__AC______
13._NA
CC__GG______CC__CG__AC______
14._-
____________CC__CG__AC______
 43 44 45 46 47 48 49 50 51 52 53 54 55 56
_Input profile
AAGGAATTAGGGGGCCCCATGGGGCCCT
1._RUQ_32
__GG____AG______CC__________
2._RUQ_32
________AG______CC__________
3._PA_56_[PER]
________AG______CC__________
4._PA_56_[PER]
________AG______CC__________
5._PA_56_[PER]
________AG______CC__________
6._PA_56_[PER]
________AG______CC__________
7._PA_56_[PER]
________AG______CC__________
8._PA_56_[PER]
________AG______CC__________
9._NA
__GG____AG______CC__________
10._NA
__GG____AG______CC__________
11._NA
__GG____AG______CC__________
12._NA
__GG____AG______CC__________
13._NA
__GG____AG______CC__________
14._-
__GG____AG______CC__________
 57 58             
_Input profile
CCTTX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
1._RUQ_32
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
2._RUQ_32
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
3._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
4._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
5._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
6._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
7._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
8._PA_56_[PER]
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
9._NA
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
10._NA
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
11._NA
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
12._NA
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
13._NA
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X
14._-
____X_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_XX_X

Input profile: PA_56_[PER] RUQ_32

 
International Cocoa Quarantine Centre, Reading (ICQC,R), United Kingdom
 Lambert Motilal, 2023
Population Assignment: 

1._PA_56_[PER] RUQ_32

96.4 %
14 shared markers

International Cocoa Quarantine Centre, Reading (ICQC,R), United Kingdom
 Dapeng Zhang, 2014

2._PA_56_[PER] RUQ_32

96.2 %
13 shared markers

International Cocoa Quarantine Centre, Reading (ICQC,R), United Kingdom
 Dapeng Zhang, 2016

3._PA_56_[PER]

96.2 %
13 shared markers

International Cocoa Genebank, Trinidad (ICG,T), Trinidad and Tobago
Location: Marper D 238
 Dapeng Zhang, 2016

4._PA_56_[PER]

88.5 %
13 shared markers

Mars Center for Cocoa Science, Brazil
Location: 8176 6
 Dapeng Zhang, 2016

5._PA_56_[PER]

88.5 %
13 shared markers

Mars Center for Cocoa Science, Brazil
Location: 8176 4
 Dapeng Zhang, 2016

6._PA_56_[PER]

88.5 %
13 shared markers

Mars Center for Cocoa Science, Brazil
Location: 8176 3
 Dapeng Zhang, 2016

7._PA_56_[PER]

88.5 %
13 shared markers

Mars Center for Cocoa Science, Brazil
Location: 8176 2
 Dapeng Zhang, 2016

8._PA_56_[PER]

88.5 %
13 shared markers

Mars Center for Cocoa Science, Brazil
Location: 8176 1
 Dapeng Zhang, 2016

9._PA_56_[PER] NA

84.2 %
19 shared markers

Mars Center for Cocoa Science, Brazil
Location: Tree: 6
Notes: Dead
 Mars, 2018

10._PA_56_[PER] NA

84.2 %
19 shared markers

Mars Center for Cocoa Science, Brazil
Location: Tree: 4
Notes: Dead
 Mars, 2018

11._PA_56_[PER] NA

84.2 %
19 shared markers

Mars Center for Cocoa Science, Brazil
Location: Tree: 3
Notes: 3
 Mars, 2018

12._PA_56_[PER] NA

84.2 %
19 shared markers

Mars Center for Cocoa Science, Brazil
Location: Tree: 2
Notes: 2
 Mars, 2018

13._PA_56_[PER] NA

84.2 %
19 shared markers

Mars Center for Cocoa Science, Brazil
Location: Tree: 1
Notes: 1
 Mars, 2018

14._PA_56_[PER] -

71.9 %
16 shared markers

Mars Center for Cocoa Science, Brazil
Location: Field: 8, Block: 1, Rep: 76, Tree: 1
Notes: MCCS_Structure_refs_above_0.9membership
 Mars, 2018

 


  Key to SNP Markers

1TcSNP1527 2TcSNP1524 3TcSNP1458 4TcSNP1404 5TcSNP1401
6TcSNP1293 7TcSNP1275 8TcSNP1253 9TcSNP1237 10TcSNP1230
11TcSNP1205 12TcSNP1144 13TcSNP1112 14TcSNP1062 15TcSNP1053
16TcSNP1019 17TcSNP1010 18TcSNP998 19TcSNP945 20TcSNP899
21TcSNP872 22TcSNP836 23TcSNP835 24TcSNP823 25TcSNP800
26TcSNP739 27TcSNP731 28TcSNP723 29TcSNP702 30TcSNP660
31TcSNP645 32TcSNP644 33TcSNP642 34TcSNP640 35TcSNP591
36TcSNP589 37TcSNP577 38TcSNP546 39TcSNP529 40TcSNP522
41TcSNP519 42TcSNP421 43TcSNP363 44TcSNP329 45TcSNP305
46TcSNP290 47TcSNP230 48TcSNP194 49TcSNP189 50TcSNP176
51TcSNP144 52TcSNP143 53TcSNP131 54TcSNP52 55TcSNP49
56TcSNP33 57TcSNP19 58TcSNP13