molecular markers in legumes
TRANSCRIPT
Genetic diversity in indigenous food legumes of Pakistan through molecular markers – challenges and opportunities
Abdul GHAFOORPlant Genetic Resources InstituteNARC, Islamabad, [email protected]
PGR collection/acquisition, evaluation, conservation, utilizationField evaluation
Monogenic traits, polygenic traits, G-E interactionGene evaluation
Biotic, abiotic. Climate change Biochemical/molecular
Seed proteins, 2-D electrophoresis, isozymesDNA markers; AFLP, ALP, AP-PCR, AS-PCR, CAPS, DAF, ISA, RAPD, RFLP, SAP, SCAR, SSCP, SSLP, SSLP, SSR, STS, STMS: emerging more
Dissemination and utilization
Understanding PGR diversity
Indigenous food legumes
VignaLathyrisCicerLensVicia
GlycinePhaseolusArachis
Challenges
Food securityThe emerging challenges: can we feed the hunger planet?
Molecular markers, how could assist?Enhancing productivity
VerticalHorizontal
Legumes (one of the largest family for human consumption)
Food, feed, fibre, shelter: how to exploit?
Crop Total Evaluated
Multiplied
Molecular markers
Cereals 11,757 60% 95% <20%
Legumes 10,089 60% 95% <20%
Oilseeds 4,236 40% 60% <10%
Vegetables 2,012 40% 60% Nil
Others 3,580 Nil 15% <5%
Germplasm status
Molecular markersMolecular markersUsed in five major areas;
Genetic diversity within and between crop speciesFingerprinting; varietal identificationPlant domestication in relation to genetic resources conservation and breedingGenome relationshipsTool in crop improvement
Marker assisted breeding/QTL Genetic transformation
Intra-specific diversity in seed proteins of Pisum sativum
MM
SD
S-7
0
MM
SD
S-7
0
88 P
038-
10-1
8 [A
ustr
alia
]
88 P
050-
6 -9
[Aus
tral
ia]
88 P
090-
5-21
[A
ustr
alia
]
Pk -
1041
3 [P
akis
tan]
88 P
090-
5-26
[A
ustr
a lia
]
Pk -
1056
2 [P
akis
tan]
Spr
ing
Pea
s [A
ustr
alia
]
DM
R-4
[In
dia]
DM
R- 7
[In
dia]
DM
R- 2
0 [I
ndia
]
Pk -
1047
7 [P
akis
tan]
88 P
007-
2 -1[
Aus
tral
ia]
88 P
001-
4 -9
[Aus
tral
ia]
Pk -
1060
4 [P
akis
tan]
Pk -
1064
2 [P
akis
tan]
Pk -
1064
6 [P
akis
tan]
88 P
090-
5-10
[A
ustr
a lia
]
88 P
090-
5-22
[A
ustr
alia
]
Pk -
1062
6 [P
akis
tan]
PS
75/8
7 [R
oman
ia]
PS
157/
87 [
Rom
ania
]
Pk -
1063
9 [P
akis
tan]
Ale
ppo
1 [S
yria
]
LS
-169
0 [A
ustr
alia
]
Gre
en F
east
66.0.kd
45.0 kd
45.0 kd
45.0 kd
45.0 kd
Lin
kage D
ista
nce
0
1
2
3
4
5
D
MR
-7
D
MR
-4
D
MR
-20
88P
001
PK
10638
M
AT
EO
R
S
L-3
2
AU
S1
690
GR
EE
N F
E
PK
10643
PK
10642
PK
10641
PK
10639
PK
10636
PK
10632
PK
10631
PK
10630
PK
10562
PK
10628
PK
10475
PK
10609
88P
090-4
88P
007
S
P-3
88P
090-2
88P
050
88P
038
PK
10645
PK
10646
PK
10644
88P
101
PK
10637
PK
10622
PK
10617
PK
10634
PK
10616
PK
10613
PK
10611
PK
10610
PK
10605
PK
10604
PK
10603
PK
10601
PK
10479
PK
10626
PK
10600
PK
10478
PK
10477
PK
10627
PK
10476
PK
10633
PK
10629
PK
10413
PK
10620
PK
10625
PK
10615
PK
10607
P
75/8
7
88P
090-3
88P
090-1
P157/8
1
PK
10566
PK
10621
PK
10619
PK
10618
PK
10567
PK
10506
PK
10303
Coefficient0.68
0.760.83
0.910.98
001Afg 048Pak 050Pak 049Pak 058Pak 059Pak 047Pak 034Pak 035Pak 037Pak 036Pak 038Pak 007Chi 002Alb 004Bra 056Pak 005Can 041Pak 023Leb 073Uni 009Den 085Var 053Pak 054Pak 055Pak 065Swe 010Den 078Var 051Pak 012Eth 074USA 014Ger 042Pak 052Pak 043Pak 083Var 084Var 026Net 028Net 029Net 060Par 061Par 016Gui 033Nor 006Can 022Ivo 031Net 030Net 027Net 024Mex 019Ira 082Var 066Syr 077Ven 080Var 081Var 003Arg 013Eth 070Tur 011Eth 015Gre 025Nep 018Ind 075USA 020Ira 086Var 044Pak 076USS 046Pak 062Per 091Jap 092Jap 094Jap 093Jap 017Ind 067Syr 068Tur 079Var 008Cze 045Pak 071Uni 021Ita 069Tur 064Swe 039Pak 040Pak 063Per 072Uni
Diversity: a case in Pisum sativumIndigenous germplasm
Map explaining diversity pattern of Pisum sativum L. based on qualitative traits, quantitative traits and total seed protein profiles. The symbols represents quantitative traits, qualitative traits and represents total seed protein profiles. One third shaded symbols indicates low diversity, half shaded medium diversity and full shaded symbols indicate high diversity for specific technique.
Syria
UK Turkey
Pakistan
Peru
France
Sweden
Germany
Czech Republic
Netherlands
3 4 B
66.0.kDa
24.0 kD
2 B
6 B7 B8 B
9 10 11 B
Major Bands Minor Bands
13 B14 B
16 B17 B19 B20 B
21 22 B
24 B
1064
4 IC
AR
DA
1129
1 P
eru
1064
5 IC
AR
DA
1068
1 In
dia
1839
1 P
akis
tan
1834
2 E
thio
pia
1063
7 IC
AR
DA
1129
4 P
eru
1830
8 E
thio
pia
1955
4 P
akis
tan
01B
05B
12B
15B
18B
23B
Linkage of a RAPD marker with er1 gene in Pisum sativum L.
Among 43 RADP primers, 21 were polymorphic and one was linked with er1.Falloner and 11760-3ER selected under heavy infestation with Erysiphe pisi through artificial inoculation under greenhouse. F1 plants (Fallon/11760-3) indicated dominance of the susceptible
allele, F2 plants segregated in 3:1 ratio (susceptible: resistant).
The RAPD maker OPB18 (5’-CCACAGCAGT-3’) was linked to the er1 gene with 83% probability, and was located at a distance of 11.2 cM from the er1 gene.
Nisar & Ghafoor, RJG, 47: 300-304 (2011)
DNA markers reported for MAS for powdery mildew in pea
Marker Distance (cM) from er
Marker type Reference er gene
Sc-OPO-181200 0.0 RAPD/SCAR Tiwari et al. 1998 er1OPL-6 2.0 RAPD Tiwari et al. 1998 er1OPD 10650 2.1 RAPD/SCAR Timmerman et al. 1994 er1Sc-OPD10650 3.4 SCAR Janila and Sharma 2004 erSc-OPE-161600 4.0 RAPD/SCAR Tiwari et al. 1998 er1P236 9.8 RFLP Dirlewanger et al. 1994 erPSMPSAD60 10.4 SSR Ek et al. 2005 er1PSMPSAA374e 11.6 SSR Ek et al. 2005 er1PSMPA5 14.9 SSR Ek et al. 2005 er1ScX171400 2.6 SCAR Katoch et al. 2010 er2SCAB1874 2.8 SCAR Fonddevilla et al. 2008 Er3BC210 8.2 RADP/SCAR Tonguc and Weeden (2010) er1
OPB18430 11.2 RAPD Nisar and Ghafoor 2011 er1
Ghafoor & McPhee. Euphytica, 186: 593-607 (2012)
Powdery mildew resistant (right) and susceptible (left) lines of Pisum sativum. Powdery mildew symptoms on leaves (lower left) and on pods (lower right)
Powdery mildew resistant and lodging tolerantadvanced line derived from the hybrid PS99102238/11760-3 using OPB18.
Diversity (Inter and inrta-accessions) in indigenous legumes based on molecular markers
Crop Intra-accession (Protein/DNA) Inter-acc
Chickpea Low/High (< 10% accessions) Low/High
Mungbean Low (< 15% accessions) Low
Blackgram Low/High (< 10% accessions) Low/High
Cowpea Low (< 10% accessions) Low
Lentil Low/High (< 15% accessions) Medium/High
SoybeanPea
Low (<10% accessions)Medium/High (< 30 % accessions)
LowHigh/High
Sample size varies from 10 to 20 samples per accession
Journal of Genetics & Breeding 54, 125-131 (2000)Acta Biologica Cracoviensia 47, 69-75 (2005)Field Crops Research 69, 183-190 (2001)Journal of Genetics and Breeding 57, 5-14 (2003)Pakistan Journal of Botany, 37(1): 71-77 (2005)Russian Journal of Genetics, 47, 19-25 (2011)Pakistan Journal of Botany, 44(2): 473-478.
Genetic diversity in indigenous legumes– a case study
V. mungo P. sativum Characterization Low variation (484) High variation (450) Evaluation High variation (484) High vartiation (298) Seed proteins Low variation (111) High variation (390) 2-D electrophoresis High variation (10) NA Geographic pattern Low linkage (88) High linkage (90) DNA markers High variation (40) High variatio (47) Germplasm Needed more Acquisition needed
Genetic diversity/fingerprinting
Crop QLT QNT Protein RAPD/SSR
Reference
Len culinaris High High Medium High Sultana et al., 2005, Sultana & Ghafoor 2008
Vigna mungo Low High Low High Ghafoor et al., 2001; 2002; 2012
Pisum sativum High High High High Ghafoor et al., 2005; Javaid et al., 2002; Nisar et al., 2011
Vigna radiata High High Low High
Vigna unguiculata High High Low High Iqbal et al., 2003
79.781.2
87.4
73
65
70
75
80
85
90
4.704.62
4.45
5.30
4.0
4.2
4.4
4.6
4.8
5.0
5.2
5.4
48.8
7
48.8
4
51.6
2
47.3
6
47.1
4
74.8
5
75.8
5
38.9
7
67.7
8
71.6
5
0
20
40
60
80
12.28 12.25
22.3823.56
0
5
10
15
20
25
Day
s to
mat
urit
yB
iolo
gica
l yie
ld g
-110
0-se
ed w
eigh
t g-1
Gra
in y
ield
g-1
B3a B5a
B9a B12b
B3b B10aB5a B9a B10b
B3b B5a
–
––
–
– – – – –
– –
++
+
+
+ + +
+
+ +
Markers in relation with quantitative traits in blackgram
Ghafoor et al. 2005
0
5
10
15
20
25
30
0
5
10
15
20
25
30C
lust
er I
(Y
ear
I)
Clu
ster
II
(Yea
r I)
Clu
ster
III
(Y
ear
I)
Clu
ster
I (
Yea
r II
I)
Clu
ster
II
(Yea
r II
I)
Clu
ster
III
(Y
ear
III)
Clu
ster
I (
Yea
r II
)
Clu
ster
II
(Yea
r II
)
Clu
ster
III
(Y
ear
II)
Agronomic scores based on three years evaluation (left) and RAPD markers (right)
Clu
ster
I
Clu
ster
V
Clu
ster
VI
Clu
ster
VII
Clu
ster
II
Clu
ster
III
Clu
ster
IV
Agr
onom
ic s
core
Agr
onom
ic s
core
Clusters on agriculturally important traits had more breeding value than DNA markers
Photoperiod insensitive Vigna mungo suitable for dual season planting developed through conventional breeding coupled with diversity analysis for DNA markers (Ghafoor et al., Crop Science, 45:1659.
Identification of Resistant Sources
Crop Pathogen Resistant Sources
Pisum sativum Powdery mildew; Pea seed borne mosaic virus
25;15
Vigna mungo MYMV 145
Vigna unguiculata Cowpea Aphid borne mosaic virus
3
Phaseolus vulgaris Bean common mosaic virus 3
Cicer arietinum Ascochyta blight 2
Inter-specific variation rather than intra-specific for protein markers. Clusters on agriculturally important traits had more breeding value than protein and DNA markers. DNA markers resolved higher levels of genetic diversity as compared to proteins in most of legumes.Identification of related and non-related species, seed proteins more powerful technique [Euphytica, 2002; PJB, 2013]. DNA markers in combination with protein give better evidence for phylo-genetic relationship.RAPD – not enough for fingerprinting!
Molecular markers for Molecular markers for genetic diversity genetic diversity
Molecular markers have the potential for target breeding [Euphytica, 2012].Selection in early generations and many rounds of selection in a year.Complex traits are the most difficult to handle.More reliable quantitative data and markers are pre-requisite for MAS.Markers are cross specific – common mapping populations.
Molecular markers for MASMolecular markers for MAS
Molecular markers have potential scope for diversity and target plant breeding – the induced evolution.
Molecular markers are not equal and none is ideal, for MAS and mapping, select the best one/s.
Enhance scope of markers and PGR strengthening.
Molecular markers preferable to morphological markers for mapping, frequency and polymorphism high.
Use the known markers for the trait/s of interest for extreme parents – free access to literature.
Integrated approach involving breeders, pathologists and molecular geneticists.
SummarySummary
OpportunitiesGenetic diversity has linearity with crop improvement:
need to have more legumes genetic resourcesBasic genetic information linked to progress!Biotic and abiotic stresses resistant germplasmEnhancing food legumes production
Vertical Horizontal New crops; Phaseolus, Vicia, Lathyris?Cropping systems
Cereal-legumesCotton-legumes
Sandwich cropRice-wheat > 1.5 mh
Opportunities
Investigated diversity in indigenous legumes in relation to geographic origin – medium to high
Developed powdery mildew, lodging tolerant pea genotypes using MAS – ready for evaluation
Developed pea for dry seed – new avenue Developed dual season blackgram cultivar –
expected enhanced productivityExploiting newly developed blackgram and pea
genotypesG-E interactionUtilization in crop breeding programMAS and mapping
Molecular markers have potential scope for investigation of diversity (>80%) and for target plant breeding (<10%) – the induced evolution.
Molecular markers are not equal and none is ideal for particular objective/s, select the best one/s based on objectives – some are better for some purposes than others.
Protein markers resolve taxonomic discrepancies efficiently, and DNA markers are preferred over proteins and morphological markers for mapping – frequency and polymorphism high.
DNA markers are not universal, need conformation or development!
Interdisciplinary approach for target oriented task – involving participatory crop breeding.
Take home message
Plant germplasm is a resource for Plant germplasm is a resource for mankind’s future . . . mankind’s future . . .
… if it is collected and conserved!
… if we understand it and know how to evaluate and use it!
Inter-agency partnerships are strengthening our national ability to manage, understand, and use germplasm.
Develop local DNA markers technology for sustainable use..
Collard et al. 2005. An introduction to markers, quantitative trait loci (QTL) mapping and marker-assisted selection for crop improvement. Euphytica 142:169-196.
Francia et al. 2005. Marker assisted selection in crop plants. Plant Cell, Tissue and Organ Culture 82:317-342.
Gepts & Hancock. 2006. The future of Plant Breeding. Crop Science 46:1630-1634.
Mago et al. 2005. Development of PCR markers for the selection of wheat stem rust resistance genes Sr24 and Sr26 in diverse wheat germplasm. Theoretical and Applied Genetics 111:496-504.
McCouch et al. 1988. Molecular mapping of rice chromosomes. Theoretical and Applied Genetics 76:815-829. Mohan et al. 1997. Genome mapping, molecular markers and masrker-assisted selection in crop plants. Molecular Breeding 87:87-103.
Sharma et al. 2002. Application of biotechnology for crop improvement: prospects and constraints. Plant Science 381-395.
Young. 1996. QTL mapping and quantitative disease resistance in plants. Annual Review of Phytopathology 34:479-501.
Suggested reading/acknowledgements Suggested reading/acknowledgements
AcknowledgementsFarmers for collection of genetic resources
Postgraduate students (R & D)
CRDI for screening against diseases
PGRI for executing experimentations under lab and field
Thank you