microsatellite markers screening for coffee berry disease (colletotrichum kahawae...
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“UTAFITI NDIO UHAI WA WAKULIMA WA KAHAWA”
Improving Income Security and Livelihoods
MICROSATELLITE MARKERS
SCREENING FOR COFFEE BERRY
DISEASE (COLLETOTRICHUM
KAHAWAE) RESISTANCE
MTENGA, Damian J., KUSOLWA, Paul M., REUBEN,
Shazia. O.W.M and KILAMBO, Deusdedit L.
“UTAFITI NDIO UHAI WA WAKULIMA WA KAHAWA”
Improving Income Security and Livelihoods
Introduction
❖Coffee accounts for about 20% of Tanzania's
foreign exchange earnings
❖ More than 450,000 families' farms (95%)
and 110 estates (5%) derive their
livelihoods from growing coffee
❖ Coffee production in Tanzania is mainly
constrained by the prevalence of pests and
diseases
“UTAFITI NDIO UHAI WA WAKULIMA WA KAHAWA”
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Introduction cont...
❖Coffee berry disease (CBD), caused by
Colletotrichum kahawae, is a major constraint for
Arabica coffee cultivation in Africa
❖CBD preventive control by frequent fungicide
sprays accounts for 30–40 % of total production
costs
❖Can lead to 60% harvest loss on susceptible
varieties if not controlled (Bedimo et al, 2008).
“UTAFITI NDIO UHAI WA WAKULIMA WA KAHAWA”
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Coffee berry disease damage
❖Direct loss occurs as a
result of flower and young
fruit infection
❖ Immature berries are most
susceptible at expansion
phase
❖Mummified berries are the
main sources of primary
inoculum
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Introduction cont..
❖ In perennial crops traits of interest such as disease
resistance can be observed and screened only at
late stages of development and require
assessment over a number of years
❖ Use of marker assisted selection (MAS) in
perennial crops can greatly decrease the time
taken to select for resistance enabling rapid
identification genotypes containing disease
resistance genes (Collard and Mackill, 2008)
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Objective of the study
The main objective:
To hasten the process of development and release of
Coffee berry disease resistant varieties
Specific objectives were:
i. To carry out hybridization between KP423 and
Ethiopian accessions to broaden the genetic base
for disease resistance
ii. To use gene specific microsatellite markers to
screen for CBD resistance genes to identify resistant
materials
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Materials and Methods❖ The phenotypic screening was carried out at
TaCRI Lyamungu Pathology Laboratory
✓ Latitude 03º14’699’’S and Longitude 037º14’762’’E a
✓ Altitude 1268 masl
❖ Molecular work was carried out at Sokoine
University of Agriculture (SUA) Molecular
Laboratory
✓ Latitude 6° 49' 49'' S and 37° 40' 141’’ E
✓ Altitude 500 - 600 masl
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Experimental design
❖ 11 genotypes and their F1 progenies including susceptible
KP423 were used in the experiment
❖ The experiment was laid out in a RCBD with 3 replications
❖ Each genotype had fifty seeds planted in germination box
per replication making total of 150 seeds
❖ At the hypocotyl stage; seedlings were subjected to
phenotypic screening
❖ Seeds of the susceptible KP423 were not subjected to
phenotypic screening
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Phenotypic hypocotyl screening
Resistant
genotypeSusceptible
genotype
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Materials and Methods cont…i) Phenotypic screening
Germinating seedlings from parents and F1s were
subjected to hypocotyl screening for CBD resistance
using the procedure by Van der Vossen et al, 1976.
Inoculated seedlings were individually scored and
average infection (G) on each genotype was
calculated as follows:
4
G = 1/N ∑ ini
i = 0
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Materials and Methods cont…i) Phenotypic screening cont..
where, i is the disease class; ni is the number of seedlings in
class i; N is the total number of seedlings scored (Omondi et
al., 2001 ).
❖ The disease reaction was read using 0-4 scale by
Van der Graaf (1978); Where: 0 = absence of
symptoms and 4 = dead hypocotyls
❖ Mean score data were subjected to ANOVA using
GenStat V. 12.1 statistical software
❖ Mean separation was done by Fisher protected
HSD
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Materials and Methods cont…i) Phenotypic screening
List of genotypes used for CBD diseases resistance genes screening
Genotypes Description Code
F45/64/2049 x KP423 F1 hybrid 101
F90/64/4660 x KP423 F1 hybrid 102
Rume Sudan VC298 x KP423 F1 hybrid 103
F45/64/2061 x KP423 F1 hybrid 104
F24/64/902 x KP423 F1 hybrid 105
F24/64/886 x KP423 F1 hybrid 106
Catimor PRO 127 x KP423 F1 hybrid 107
F89/64/4650 x KP423 F1 hybrid 108
KP 423 Commercial 109
F24/64/886 Ethiopian 110
Catimor PRO 127 Progenitor 111
F89/64/4650 Progenitor 112
Rume Sudan VC298 Progenitor 113
PNI 088 Progenitor 114
Sarchimor Progenitor 115
HdT VCE 1593 Progenitor 116
F90/64/4660 Ethiopian 117
F45/64/2049 Ethiopian 118
F45/64/2061 Ethiopian 119
F24/64/902 Ethiopian 120
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Materials and Methods cont…ii) Specific gene markers screening
❖Leaf samples were collected from
the seedlings that survived CBD pre
selection for DNA extraction for
resistance gene
❖Two gene specific markers
Sat235 and Sat207 sourced from
literature (Gichuru et al, 2008) were
used
❖ DNA extraction and PCR
amplification followed the procedure
by Diniz et al, 2005
DNA extraction at SUA molecular lab
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Marker
namePrimer (5' - 3') Sequence Reference
Sat207 F GAAGCCGTTTCAAGCC
Gichuru et al.,
2008
R CAATCTC TTTCCGATGCTCT
Sat235 F TCGTTCTGTCATTAAATCGTCAA Gichuru et al., 2008
R GCAAATCATGAAAATAGTTGGTG
Materials and Methods cont…
ii) Specific gene markers screening
Gene specific markers used in the study
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Results and DiscussionPhenotypic screening of parental genotypes (0-4) scale
Genotype MeanSARHIMOR 0.080a
VC 298 0.080a
F90/64/T4660 0.104a
PNI088 0.184a
HDT VCE 1593 0.340ab
F45/64/T2049 0.384ab
F89/64/T4650 0.384ab
PRO127 0.620bc
F24/64/902 0.912cd
F24/64/T886 0.930cd
F24/64/T2061 1.256d
KP423 3.680e
Mean values on the same column having the same letter(s) are not significantly
different at p≤0.05 according to Fisher HSD
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Results and DiscussionPhenotypic screening of F1 hybrids scale (0-4)
Genotype MeanVC 298 x KP423 0.112a
F90/64/T4660 x KP423 0.136a
VCE1593 x KP423 0.240ab
F89/64/T4650 x KP423 0.336bc
PNI 088 x KP423 0.408cd
SARCHIMOR x KP423 0.416cd
F45/64/T2049 x KP423 0.432cde
PRO 127 x KP423 0.464cde
F24/64/T2061 x KP423 0.504def
F24/64/902 x KP423 0.560ef
F24/64/T886 x KP423 0.64of
KP423 3.680g
Mean values on the same column having the same letter(s) are not significantly
different at p≤0.05 according to Fisher HSD
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Results and DiscussionPhenotypic screening
❖ All the genotypes except KP423 showed resistance to
CBD with significantly different p≤0.05 performance
among parental genotypes and F1 hybrids.
❖ The higher the value the more the susceptibility to
CBD. The lower the value the higher the resistance to
the disease.
❖ The control variety KP423 which is highly susceptible
to CBD had the highest mean score and had
significantly difference p≤0.05 performance
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Results and DiscussionMarker Sat235 screening
Figure 1: A 2% gel photograph showing amplification of coffee parental genotypes, F1 hybrids and a commercial variety KP423 by SSR
marker Sat 235. Lanes 101–120 represent coffee genotypes. Lane M represents a 100-bp ladder and lane C+ represent a control
of a known amplification
1500bp
500bp
100bp
p
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Results and DiscussionMarker Sat207 screening
Figure 2: A 2% gel photograph showing amplification of coffee parental genotypes, F1 hybrids and a commercial variety
KP423 by SSR marker Sat 207. Lanes 101–120 represent genotypes. Lane M represents a 100-bp ladder and lane C+ and C
represents controls of a known amplification
1500bp
100bp
500bp
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Results and discussion
Marker screening for CBD resistance gene
❖ The genotypes containing the resistance gene were
expected to show phenotypic resistance to CBD
and also banding patterns similar to the resistance
donors when screened by markers.
❖ Genotypes lacking the resistance gene were
expected to show phenotypic susceptibility to CBD
and banding pattern similar to the susceptible
commercial variety KP423 when marker screened.
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Results and discussion
❖ All the twenty genotypes were amplified by
markers Sat235 and Sat207 except genotypes
(103) a hybrid, (109) commercial and (110)
Ethiopian accession
❖ The genotypes showing good resistance when
phenotypically screened but not amplified by
markers Sat235 and Sat207 like genotypes (109,
(103) and (110) might have the gene but located at
different position or a different gene not Ck-1
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Conclusion
❖ The presence of CBD resistance gene in the
genotypes amplified by SSR primer Sat 235 and
Sat207 was confirmed by production of bands
similar to the progenitors with the exception of
the genotypes (103), (110) and (109)
❖ This finding indicates that marker screening can
be used in CBD resistant genotypes selection at
early stages reducing the time of selection cycle
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Some key References
1. Diniz, L. E. C., Ruas, C. F., Carvalho, V. P., Torres, F. M., Ruas, E. A., Santos,
M. O., Sera, T and Ruas, P. M. (2005). Genetic diversity among forty coffee
varieties assessed by RAPD markers associated with restriction digestion.
Brazil Archive Biology Technical 48(4): 511 – 521.
2. Gichuru, E. K., Agwanda, C. O., Combes, M. C., Mutitu, E. W., Ngugi, E. C. K.,
Bertrand, B. & Lashermes, P. (2008). Identification of molecular markers linked
to a gene conferring resistance to coffee berry disease (Colletotrichum
kahawae) in Coffea arabica. Plant Pathology 57(6): 1117 – 1124.
3. Van der Graaff, N. A. (1978). Selection for resistance to coffee berry disease in
arabica coffee in Ethiopia. Evaluation of selection methods. Netherlands Journal
of Plant Pathology, 84(6): 205 – 215.
4. Van der Vossen, H. A. M., Cook, R. T. A. and Murakaru, G. N. W. (1976).
Breeding for resistance to Coffee berry disease caused by Colletrotrichum
coffeanum Noack (sensu Hindorf) in Coffea arabica L. I. Methods of
preselection for resistance. Euphytica, 25: 733 – 745.
“UTAFITI NDIO UHAI WA WAKULIMA WA KAHAWA”
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Acknowledgements
This work was supported by Tanzanian
Coffee Stakeholders, The Tanzanian
government and the European
commission
We are grateful to the IACO Organizing
committee for accepting our paper for
presentation and TaCRI management for
sponsoring my participation
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Arabica Robusta