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DETERMINATION OF PHYTOPLASMA HOST RANGE
  AMONG WILD GRASSES IN WESTERN KENYA

  PRESENTED BY;
         Adam O. Juma
         I56/10103/08
         (Kenyatta University)

  SUPERVISORS;
         Dr. Runo S. Maina
         Kenyatta University

         Dr. Charles A. O. Midega
         International Center of Insect Physiology and Ecology.
Hypothesis
           Background information
                                               a
• Phytoplasma affects many unrelated plants
  worldwide
• In East Africa, Napier stunt phytoplasma
  poses a serious threat to Napier grass
  farming
• The disease symptoms include severe          b
  stunted growth and loss of biomass
• The disease is mainly transmitted by a
  leafhopper Maeistas (=Recilia) banda in
  Kenya (Obura et al., 2009)
                                              Photographs illustrating the
                                              comparison between Health (a) &
                                              Diseased (b) Napier grass.
Statement of the problem
• Napier stunt disease has reduced Napier productivity by 30-90% in
  the region
• Phytoplasma attacks other wild grasses, it is likely that several wild
  grasses could be infected by specific phytoplasma strains
• These wild grasses might also act as reservoirs for fresh inoculums
• The determination of phytoplasma host range among wild grasses is
  necessary for precise and sustainable phytoplasma disease
  management




                                 HWLD                    NSD
           BGWL
Hypothesis
There is no diversity of wild grasses hosting
phytoplasmas in Western Kenya.
Objectives
                   General Objective
• To identify phytoplasmas wild host range among wild
  grasses in Western Kenya.

                    Specific Objectives
• To detect and identify phytoplasma strains infecting
  wild grasses in western Kenya
• To identify wild grass species hosting phytoplasmas in
  Western Kenya.
Study Area
Sampling strategy




      1-3m



              1-3 m




1m


     1m
             Transects     Quadrat   Grass field boundary
Collection of leaf
 samples (300mg)                DNA extraction         PCR amplification
                                CTAB Method (Doyle &   P1/P6 Primer pair
                                Doyle, 1990)
   (Saitou & Nei, 1987)                                nPCR
   neighbour joining method
   Phylogenetic analysis by                            NapF/NapR Primer pair
  using BLAST search at NCBI
  Comparison of sequences
 aracterization by
notypic                    Purification of PCR
quencing of PCR            products
oducts
                  Characterization
              Phytoplasma detection &
Diversity of grasses in Busia and Bungoma districts
                              Pennisetum polystachion      1.6%
                              Echinochloa pyramidalis      0.7%
                              Eragrostis curvula           0.7%
                              Hyparrhenia pilgerama        0.7%
                              Sorghum versicolor           0.7%
                              Rottboelia cochinchinensis   0.3%
                              Setaria incrassata           0.3%
                              Sporobolus pyramidalis       0.3%
                              Themeda triada               0.3%

                              Panicum maximum              0.4%
                              Hyparrhenia pilgerama        1.2%
                              Sporobolus pyramidalis       0.9%
                              Cymbopogon nardus            0.6%
                              Eragrostis curvula           0.6%
                              Setaria incrassata           0.6%
                              Cenchrus ciliaris            0.3%
                              Eleusine indica              0.3%
                              Pennisetum purpureum         0.3%
                              Poverty grass                0.3%
Diversity of grasses in Busia and Bungoma districts

• D. scalarum, C. dactylon and Brachiaria are
the most dominant in both districts
• Account for 69% and 76% of the grasses
sampled in Busia and Bungoma respectively
Incidence of Phytoplasma in Busia and Bungoma
                           Phytoplasma infection in
                           common grasses of both
                           districts.13% of sampled
                           grasses infected.

                           11% infected in Busia
                           Low, widespread
                           infection in Busia
                           (between 7 – 22%
                           infection)

                           14% infected in Bungoma.
                           Highest infection in
                           Cynodon dactylon and
                           Bracharia (35% and 18.5%
                           respectively!)
Latent infections in Busia and Bungoma

                                  63% of all phytoplasma
                                  infections Latent!
                          42.9%
                                  79% of infected plants in
        27.3%                     Busia asymptomatic.
                25.0%
                                  Bracharia, Cynodon and
                                  other identified grasses.


                  44.0%
                                  48% of infected plants in
                                  Bungoma asymptomatic.
                                  Cynodon and Digitaria
16.0%
Modeled proportions of potential host grasses
              relative to other grasses (GLM)

Model: Takes into consideration abundance and infection statuses

Bungoma
Bracharia and C. dactylon the main host of phytoplasma in Bungoma

Bracharia 22% (95% CI 10 – 51%; P<0.01) and Cynodon dactylon 53% (95% CI 38 – 76%;
P<0.01) of host grasses


Busia
Other (unidentified) grasses account for 28% (95% CI 11 – 71%; P<0.05)

Other notable hosts include Bracharia 12% (95% CI 6 – 25%) and Digitaria 7% (95% CI 4 –
15%)
Inferences
• There is great diversity of wild grasses in Busia and
  Bungoma districts with Digitaria, Cynodon, Brachiaria
  grasses being most abundant: (72.5%)
• 63% of all sampled phytoplasma positive grasses had
  latent infections
• In Bungoma, C. dactylon(22%) and Brachiaria(53%)
  constitute the main phytoplasma hosts
• In Busia, unidentified grasses(28%) are the main
  hosts, however, Brachiaria(12%) and Digitaria(7%)
  are significant phytoplasma hosts
Implications
1. Phytoplasma is widespread in many local wild grass
   populations in Busia and Bungoma districts

2. Approximately more than half of phytoplasma infections are
   latent/ assymptomatic

3. Bracharia and C. dactylon are the main host grasses for
   phytoplasma in Bungoma

4. Host species for phytoplasms in Busia less defined with
   many species (notably Bracharia and D. sclaranum) as well
   as other unidentified grasses hosting the pathogen
Acknowledgement
•   I.C.I.PE
•   THE McKNIGHT FOUNDATION
•   SUPERVISORS
•   KENYATTA UNIVERSITY
Thank you

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Mcknight presentation3

  • 1. DETERMINATION OF PHYTOPLASMA HOST RANGE AMONG WILD GRASSES IN WESTERN KENYA PRESENTED BY; Adam O. Juma I56/10103/08 (Kenyatta University) SUPERVISORS; Dr. Runo S. Maina Kenyatta University Dr. Charles A. O. Midega International Center of Insect Physiology and Ecology.
  • 2. Hypothesis Background information a • Phytoplasma affects many unrelated plants worldwide • In East Africa, Napier stunt phytoplasma poses a serious threat to Napier grass farming • The disease symptoms include severe b stunted growth and loss of biomass • The disease is mainly transmitted by a leafhopper Maeistas (=Recilia) banda in Kenya (Obura et al., 2009) Photographs illustrating the comparison between Health (a) & Diseased (b) Napier grass.
  • 3. Statement of the problem • Napier stunt disease has reduced Napier productivity by 30-90% in the region • Phytoplasma attacks other wild grasses, it is likely that several wild grasses could be infected by specific phytoplasma strains • These wild grasses might also act as reservoirs for fresh inoculums • The determination of phytoplasma host range among wild grasses is necessary for precise and sustainable phytoplasma disease management HWLD NSD BGWL
  • 4. Hypothesis There is no diversity of wild grasses hosting phytoplasmas in Western Kenya.
  • 5. Objectives General Objective • To identify phytoplasmas wild host range among wild grasses in Western Kenya. Specific Objectives • To detect and identify phytoplasma strains infecting wild grasses in western Kenya • To identify wild grass species hosting phytoplasmas in Western Kenya.
  • 7. Sampling strategy 1-3m 1-3 m 1m 1m Transects Quadrat Grass field boundary
  • 8. Collection of leaf samples (300mg) DNA extraction PCR amplification CTAB Method (Doyle & P1/P6 Primer pair Doyle, 1990) (Saitou & Nei, 1987) nPCR neighbour joining method Phylogenetic analysis by NapF/NapR Primer pair using BLAST search at NCBI Comparison of sequences aracterization by notypic Purification of PCR quencing of PCR products oducts Characterization Phytoplasma detection &
  • 9. Diversity of grasses in Busia and Bungoma districts Pennisetum polystachion 1.6% Echinochloa pyramidalis 0.7% Eragrostis curvula 0.7% Hyparrhenia pilgerama 0.7% Sorghum versicolor 0.7% Rottboelia cochinchinensis 0.3% Setaria incrassata 0.3% Sporobolus pyramidalis 0.3% Themeda triada 0.3% Panicum maximum 0.4% Hyparrhenia pilgerama 1.2% Sporobolus pyramidalis 0.9% Cymbopogon nardus 0.6% Eragrostis curvula 0.6% Setaria incrassata 0.6% Cenchrus ciliaris 0.3% Eleusine indica 0.3% Pennisetum purpureum 0.3% Poverty grass 0.3%
  • 10. Diversity of grasses in Busia and Bungoma districts • D. scalarum, C. dactylon and Brachiaria are the most dominant in both districts • Account for 69% and 76% of the grasses sampled in Busia and Bungoma respectively
  • 11. Incidence of Phytoplasma in Busia and Bungoma Phytoplasma infection in common grasses of both districts.13% of sampled grasses infected. 11% infected in Busia Low, widespread infection in Busia (between 7 – 22% infection) 14% infected in Bungoma. Highest infection in Cynodon dactylon and Bracharia (35% and 18.5% respectively!)
  • 12. Latent infections in Busia and Bungoma 63% of all phytoplasma infections Latent! 42.9% 79% of infected plants in 27.3% Busia asymptomatic. 25.0% Bracharia, Cynodon and other identified grasses. 44.0% 48% of infected plants in Bungoma asymptomatic. Cynodon and Digitaria 16.0%
  • 13. Modeled proportions of potential host grasses relative to other grasses (GLM) Model: Takes into consideration abundance and infection statuses Bungoma Bracharia and C. dactylon the main host of phytoplasma in Bungoma Bracharia 22% (95% CI 10 – 51%; P<0.01) and Cynodon dactylon 53% (95% CI 38 – 76%; P<0.01) of host grasses Busia Other (unidentified) grasses account for 28% (95% CI 11 – 71%; P<0.05) Other notable hosts include Bracharia 12% (95% CI 6 – 25%) and Digitaria 7% (95% CI 4 – 15%)
  • 14. Inferences • There is great diversity of wild grasses in Busia and Bungoma districts with Digitaria, Cynodon, Brachiaria grasses being most abundant: (72.5%) • 63% of all sampled phytoplasma positive grasses had latent infections • In Bungoma, C. dactylon(22%) and Brachiaria(53%) constitute the main phytoplasma hosts • In Busia, unidentified grasses(28%) are the main hosts, however, Brachiaria(12%) and Digitaria(7%) are significant phytoplasma hosts
  • 15. Implications 1. Phytoplasma is widespread in many local wild grass populations in Busia and Bungoma districts 2. Approximately more than half of phytoplasma infections are latent/ assymptomatic 3. Bracharia and C. dactylon are the main host grasses for phytoplasma in Bungoma 4. Host species for phytoplasms in Busia less defined with many species (notably Bracharia and D. sclaranum) as well as other unidentified grasses hosting the pathogen
  • 16. Acknowledgement • I.C.I.PE • THE McKNIGHT FOUNDATION • SUPERVISORS • KENYATTA UNIVERSITY